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Author SHA1 Message Date
geohot a5afdcc79b add lds double buffering to amd_asm_matmul 2026-01-17 16:26:07 +09:00
611 changed files with 29528 additions and 81047 deletions
+1 -1
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@@ -11,5 +11,5 @@ runs:
git fetch origin $CURRENT_SHA
export COMMIT_MESSAGE=$(git show -s --format=%B "$CURRENT_SHA")
export CURRENT_HEAD=$(git rev-parse HEAD)
cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && CHECK_OOB=0 PYTHONPATH=. python3 process_replay.py
cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && IGNORE_OOB=1 PYTHONPATH=. python3 process_replay.py
git checkout $CURRENT_HEAD # restore to branch
+18 -51
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@@ -45,10 +45,6 @@ inputs:
description: "Install mesa"
required: false
default: 'false'
tinydreno:
description: "Install tinydreno"
required: false
default: 'false'
runs:
using: "composite"
steps:
@@ -60,40 +56,32 @@ runs:
# **** Caching packages ****
- name: Cache Python packages (PR)
if: github.event_name == 'pull_request'
id: restore-venv-pr
uses: actions/cache/restore@v4
with:
path: ${{ github.workspace }}/.venv
key: venv-${{ runner.os }}-${{ runner.arch }}-python-${{ steps.setup-python.outputs.python-version }}-${{ inputs.deps }}-${{ inputs.pydeps }}-${{ env.CACHE_VERSION }}
- name: Cache Python packages
if: github.event_name != 'pull_request'
id: restore-venv
uses: actions/cache@v4
with:
path: ${{ github.workspace }}/.venv
key: venv-${{ runner.os }}-${{ runner.arch }}-python-${{ steps.setup-python.outputs.python-version }}-${{ inputs.deps }}-${{ inputs.pydeps }}-${{ env.CACHE_VERSION }}
key: venv-${{ runner.os }}-python-${{ steps.setup-python.outputs.python-version }}-${{ inputs.deps }}-${{ inputs.pydeps }}-${{ env.CACHE_VERSION }}
# **** Caching downloads ****
- name: Cache downloads (PR)
if: inputs.key != '' && github.event_name == 'pull_request'
uses: actions/cache/restore@v4
with:
path: ${{ runner.os == 'Linux' && '~/.cache/tinygrad/downloads/' || '~/Library/Caches/tinygrad/downloads/' }}
key: downloads-${{ github.job }}-${{ inputs.key }}-${{ env.CACHE_VERSION }}
- name: Cache downloads
if: inputs.key != '' && github.event_name != 'pull_request'
- name: Cache downloads (Linux)
if: inputs.key != '' && runner.os == 'Linux'
uses: actions/cache@v4
with:
path: ${{ runner.os == 'Linux' && '~/.cache/tinygrad/downloads/' || '~/Library/Caches/tinygrad/downloads/' }}
path: ~/.cache/tinygrad/downloads/
key: downloads-${{ github.job }}-${{ inputs.key }}-${{ env.CACHE_VERSION }}
- name: Cache downloads (macOS)
if: inputs.key != '' && runner.os == 'macOS'
uses: actions/cache@v4
with:
path: ~/Library/Caches/tinygrad/downloads/
key: downloads-${{ github.job }}-${{ inputs.key }}-${{ env.CACHE_VERSION }}
# **** Python deps ****
- name: Install dependencies in venv (with extra)
if: inputs.deps != '' && steps.restore-venv-pr.outputs.cache-hit != 'true' && steps.restore-venv.outputs.cache-hit != 'true'
if: inputs.deps != '' && steps.restore-venv.outputs.cache-hit != 'true'
shell: bash
run: |
python -m venv .venv
@@ -104,7 +92,7 @@ runs:
fi
python -m pip install -e ".[${{ inputs.deps }}]" ${{ inputs.pydeps }} --extra-index-url https://download.pytorch.org/whl/cpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/
- name: Install dependencies in venv (without extra)
if: inputs.deps == '' && steps.restore-venv-pr.outputs.cache-hit != 'true' && steps.restore-venv.outputs.cache-hit != 'true'
if: inputs.deps == '' && steps.restore-venv.outputs.cache-hit != 'true'
shell: bash
run: |
python -m venv .venv
@@ -149,7 +137,7 @@ runs:
run: |
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
sudo tee /etc/apt/sources.list.d/rocm.list <<EOF
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/7.1 $(lsb_release -cs) main
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.2 $(lsb_release -cs) main
EOF
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
@@ -194,18 +182,12 @@ runs:
echo "pkgs=$pkgs" >> "$GITHUB_OUTPUT"
echo "hash=$(echo -n "$pkgs" | sha256sum | cut -d' ' -f1)" >> "$GITHUB_OUTPUT"
- name: Cache apt (PR)
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.cuda == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true') && github.event_name == 'pull_request'
uses: actions/cache/restore@v4
with:
path: /var/cache/apt/archives/
key: ${{ runner.os }}-${{ runner.arch }}-apt-${{ steps.apt-pkgs.outputs.hash }}-${{ env.CACHE_VERSION }}
- name: Cache apt
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.cuda == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true') && github.event_name != 'pull_request'
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.cuda == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true')
uses: actions/cache@v4
with:
path: /var/cache/apt/archives/
key: ${{ runner.os }}-${{ runner.arch }}-apt-${{ steps.apt-pkgs.outputs.hash }}-${{ env.CACHE_VERSION }}
key: ${{ runner.os }}-apt-${{ steps.apt-pkgs.outputs.hash }}-${{ env.CACHE_VERSION }}
- name: Run apt Update + Install
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.cuda == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true')
@@ -237,7 +219,7 @@ runs:
shell: bash
run: |
sudo mkdir -p /usr/local/lib
curl -s -H "Authorization: token $GH_TOKEN" curl -s https://api.github.com/repos/tinygrad/amdcomgr_dylib/releases/latest | \
curl -s -H "Authorization: token $GH_TOKEN" curl -s https://api.github.com/repos/nimlgen/amdcomgr_dylib/releases/latest | \
jq -r '.assets[] | select(.name == "libamd_comgr.dylib").browser_download_url' | \
sudo xargs curl -fL -o /usr/local/lib/libamd_comgr.dylib
cargo build --release --manifest-path ./extra/remu/Cargo.toml
@@ -257,17 +239,8 @@ runs:
ln -s /opt/homebrew/opt/[email protected] /opt/homebrew/opt/boost || true
ln -s /opt/homebrew/opt/boost/lib/libboost_atomic-mt.dylib /opt/homebrew/opt/boost/lib/libboost_atomic.dylib || true
ln -s /opt/homebrew/opt/boost/lib/libboost_thread-mt.dylib /opt/homebrew/opt/boost/lib/libboost_thread.dylib || true
- name: Cache gpuocelot (PR)
if: inputs.ocelot == 'true' && github.event_name == 'pull_request'
id: cache-build-pr
uses: actions/cache/restore@v4
env:
cache-name: cache-gpuocelot-build-1
with:
path: ${{ github.workspace }}/gpuocelot/ocelot
key: ${{ runner.os }}-gpuocelot-b16039dc940dc6bc4ea0a98380495769ff35ed99-rebuild-${{ env.CACHE_VERSION }}
- name: Cache gpuocelot
if: inputs.ocelot == 'true' && github.event_name != 'pull_request'
if: inputs.ocelot == 'true'
id: cache-build
uses: actions/cache@v4
env:
@@ -276,7 +249,7 @@ runs:
path: ${{ github.workspace }}/gpuocelot/ocelot
key: ${{ runner.os }}-gpuocelot-b16039dc940dc6bc4ea0a98380495769ff35ed99-rebuild-${{ env.CACHE_VERSION }}
- name: Clone/compile gpuocelot
if: inputs.ocelot == 'true' && steps.cache-build-pr.outputs.cache-hit != 'true' && steps.cache-build.outputs.cache-hit != 'true'
if: inputs.ocelot == 'true' && steps.cache-build.outputs.cache-hit != 'true'
shell: bash
run: |
git clone --recurse-submodules https://github.com/gpuocelot/gpuocelot.git ${{ github.workspace }}/gpuocelot
@@ -330,9 +303,3 @@ runs:
if: inputs.mesa == 'true' && runner.os == 'macOS'
shell: bash
run: brew install sirhcm/tinymesa/tinymesa_cpu
# *** tinydreno ***
- name: Install tinydreno (linux)
if: inputs.tinydreno == 'true' && runner.os == 'Linux'
shell: bash
run: sudo curl -fL https://github.com/sirhcm/tinydreno/raw/refs/heads/master/libllvm-qcom.so -o /usr/lib/libllvm-qcom.so
+17 -24
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@@ -32,7 +32,6 @@ jobs:
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen'
opencl: 'true'
amd: 'true'
cuda: 'true'
@@ -41,14 +40,14 @@ jobs:
mesa: 'true'
pydeps: 'pyyaml mako'
- name: Install autogen support packages
run: sudo apt-get install -y --no-install-recommends libclang-20-dev llvm-20-dev hip-dev libusb-1.0-0-dev libdrm-dev
run: sudo apt-get install -y --no-install-recommends libclang-20-dev llvm-20-dev hip-dev libusb-1.0-0-dev
- name: Regenerate autogen files
run: |
find tinygrad/runtime/autogen -type f -name "*.py" -not -path "*/amd/*" -not -name "__init__.py" -not -name "comgr.py" -not -name "metal.py" -not -name "iokit.py" -not -name "corefoundation.py" -not -name "libclang.py" -delete
find tinygrad/runtime/autogen -type f -name "*.py" -not -name "__init__.py" -not -name "comgr_3.py" -not -name "metal.py" -not -name "libclang.py" -delete
python3 -c "from tinygrad.runtime.autogen import opencl"
python3 -c "from tinygrad.runtime.autogen import cuda, nvrtc, nvjitlink, nv_570, nv_580, nv"
python3 -c "from tinygrad.runtime.autogen import comgr_3, hsa, hip, amd_gpu, sqtt, rocprof, amdgpu_kd, amdgpu_drm"
python3 -c "from tinygrad.runtime.autogen.am import am, pm4_soc15, pm4_nv, sdma_4_0_0, sdma_5_0_0, sdma_6_0_0, smu_v13_0_0, smu_v13_0_6, smu_v13_0_12, smu_v14_0_2"
python3 -c "from tinygrad.runtime.autogen import comgr, hsa, hip, amd_gpu, sqtt, rocprof, amdgpu_kd"
python3 -c "from tinygrad.runtime.autogen.am import am, pm4_soc15, pm4_nv, sdma_4_0_0, sdma_5_0_0, sdma_6_0_0, smu_v13_0_0, smu_v13_0_6, smu_v14_0_2"
python3 -c "from tinygrad.runtime.autogen import libc, kfd, io_uring, ib, pci, vfio"
python3 -c "from tinygrad.runtime.autogen import llvm"
python3 -c "from tinygrad.runtime.autogen import webgpu"
@@ -60,9 +59,8 @@ jobs:
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-ubuntu.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
@@ -82,18 +80,16 @@ jobs:
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen-mac'
llvm: 'true'
- name: Regenerate autogen files
run: |
rm tinygrad/runtime/autogen/metal.py tinygrad/runtime/autogen/iokit.py tinygrad/runtime/autogen/corefoundation.py
python3 -c "from tinygrad.runtime.autogen import metal, iokit, corefoundation"
rm tinygrad/runtime/autogen/metal.py
LIBCLANG_PATH=/opt/homebrew/opt/llvm@20/lib/libclang.dylib python3 -c "from tinygrad.runtime.autogen import metal"
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-macos.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
@@ -103,8 +99,8 @@ jobs:
name: autogen-macos-patch
path: autogen-macos.patch
autogen-comgr-2:
name: In-tree Autogen (comgr 2)
autogen-comgr-3:
name: In-tree Autogen (comgr 3)
runs-on: ubuntu-24.04
timeout-minutes: 15
steps:
@@ -112,32 +108,29 @@ jobs:
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen-comgr'
- name: Install autogen support packages
run: |
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
sudo tee /etc/apt/sources.list.d/rocm.list <<EOF
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.2 $(lsb_release -cs) main
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.4 $(lsb_release -cs) main
EOF
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt -qq update || true
sudo apt-get install -y --no-install-recommends libclang-20-dev comgr
- name: Regenerate autogen files
run: |
rm tinygrad/runtime/autogen/comgr.py
python3 -c "from tinygrad.runtime.autogen import comgr"
rm tinygrad/runtime/autogen/comgr_3.py
python3 -c "from tinygrad.runtime.autogen import comgr_3"
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-comgr2.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
git diff > autogen-comgr3.patch
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v4
with:
name: autogen-comgr2-patch
path: autogen-comgr2.patch
name: autogen-comgr3-patch
path: autogen-comgr3.patch
+14 -79
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@@ -16,43 +16,6 @@ on:
workflow_dispatch:
jobs:
# the goal of this test is to replicate a normal person on a laptop running the test
# no process replay, no benchmarks, no CI, just a normal laptop person
# the 3 minute timeout should not be raised
testmacpytest:
name: Mac pytest
env:
CI: ""
CAPTURE_PROCESS_REPLAY: "0"
runs-on: [self-hosted, macOS]
timeout-minutes: 3
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v4
# brew install uv
- name: setup python environment
run: |
rm -rf /tmp/tinygrad_pytest_ci
uv venv /tmp/tinygrad_pytest_ci
source /tmp/tinygrad_pytest_ci/bin/activate
uv pip install .[testing]
- name: setup staging db
run: |
echo "CACHEDB=/tmp/pytest-db-ci.db" >> $GITHUB_ENV
rm -f /tmp/pytest-db-ci*
- name: Run pytest -nauto
run: |
source /tmp/tinygrad_pytest_ci/bin/activate
pytest -nauto --durations=20
- name: openpilot compile3 0.10.1 driving_vision
run: FLOAT16=1 CL=1 IMAGE=2 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: IMAGE=1 openpilot compile3 0.10.1 driving_vision
run: FLOAT16=1 CL=1 IMAGE=1 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
testmacbenchmark:
name: Mac Benchmark
env:
@@ -182,10 +145,6 @@ jobs:
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: Kill stale pids
run: |
PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
PYTHONPATH=. ./extra/hcq/hcq_smi.py nv kill_pids
- name: UsbGPU boot time
run: sudo -E PYTHONPATH=. DEBUG=2 AM_RESET=1 AMD=1 AMD_IFACE=USB time python3.11 test/test_tiny.py TestTiny.test_plus
- name: UsbGPU tiny tests
@@ -332,13 +291,13 @@ jobs:
# - name: Fuzz Padded Tensor Core GEMM (PTX)
# run: NV=1 NV_PTX=1 M_START=12 M_STOP=20 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 python3 ./extra/gemm/fuzz_matmul.py
- name: HEVC Decode Benchmark
run: VALIDATE=1 MAX_FRAMES=100 ASSERT_FPS=1400 JITBEAM=1 NV=1 PYTHONPATH=. python3 extra/hevc/decode.py
run: VALIDATE=1 MAX_FRAMES=100 JITBEAM=1 NV=1 PYTHONPATH=. python3 extra/hevc/decode.py
- name: Train MNIST
run: time PYTHONPATH=. NV=1 TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=110 NV=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w BF16
run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w winograd
@@ -373,9 +332,9 @@ jobs:
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
#- name: Insert amdgpu
# run: sudo modprobe amdgpu
- name: Symlink models and datasets
@@ -485,9 +444,9 @@ jobs:
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
@@ -510,7 +469,7 @@ jobs:
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=230 AMD=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w BF16
# run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=288 AMD=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# TODO: too slow
@@ -520,9 +479,6 @@ jobs:
run: time BENCHMARK_LOG=cifar AMD=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run full CIFAR training steps w 6 GPUS
run: time BENCHMARK_LOG=cifar_6gpu AMD=1 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
# TODO: broken on some of the machines
#- name: Test full tinyfs load
# run: TINYFS_ENDPOINT=10.0.52.11:6767 PYTHONPATH=. python extra/tinyfs/fetch_file.py --hash d734f5e3be9f1e9d863bfaa4fc6c1ef2 --len 175866113 --dest mapping.json --check
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -540,9 +496,9 @@ jobs:
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
@@ -605,7 +561,7 @@ jobs:
- name: openpilot compile3 0.10.1 driving_policy
run: BENCHMARK_LOG=openpilot_0_10_1_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.10.1 dmonitoring
run: BENCHMARK_LOG=openpilot_0_10_1_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/dmonitoring_model.onnx
run: BENCHMARK_LOG=openpilot_0_10_1_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=10 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/dmonitoring_model.onnx
- name: benchmark MobileNetV2 on DSP
run: |
# generate quantized weights
@@ -617,27 +573,6 @@ jobs:
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
testcommausbgpubenchmark:
name: UsbGPU Benchmark (comma)
runs-on: [self-hosted, Linux, comma4]
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: openpilot compile3 0.10.1 driving_vision
run: BENCHMARK_LOG=usbgpu_openpilot_0_10_1_vision PYTHONPATH="." DEV=AMD AMD_LLVM=1 AMD_IFACE=USB ASSERT_MIN_STEP_TIME=50 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot load_pickle 0.10.1 driving_vision
run: BENCHMARK_LOG=usbgpu_openpilot_0_10_1_vision_load_pickle PYTHONPATH="." DEV=AMD AMD_IFACE=USB ASSERT_MIN_LOAD_TIME=15 python3 examples/openpilot/load_pickle.py
testreddriverbenchmark:
name: AM Benchmark
runs-on: [self-hosted, Linux, tinyboxrandom]
@@ -652,9 +587,9 @@ jobs:
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
@@ -716,9 +651,9 @@ jobs:
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove nv modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py nv rmmod
run: ./extra/hcq/hcq_smi.py nv rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py nv kill_pids
run: ./extra/hcq/hcq_smi.py nv kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
+162 -241
View File
@@ -1,11 +1,11 @@
name: Unit Tests
env:
# increment this when downloads substantially change to avoid the internet
CACHE_VERSION: '18'
CACHE_VERSION: '15'
CAPTURE_PROCESS_REPLAY: 1
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PYTHONPATH: ${{ github.workspace }}
CHECK_OOB: 1
IGNORE_OOB: 0
on:
push:
@@ -26,19 +26,19 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: llvm-speed
deps: testing_unit
deps: testing_minimal
llvm: 'true'
- name: Speed Test
run: CPU=1 CPU_LLVM=1 THREADS=0 python3 test/speed/external_test_speed_v_torch.py
run: CPU=1 CPU_LLVM=1 python3 test/speed/external_test_speed_v_torch.py
- name: Speed Test (BEAM=2)
run: BEAM=2 CPU=1 CPU_LLVM=1 THREADS=0 python3 test/speed/external_test_speed_v_torch.py
run: BEAM=2 CPU=1 CPU_LLVM=1 python3 test/speed/external_test_speed_v_torch.py
docs:
name: Docs
runs-on: ubuntu-22.04
timeout-minutes: 10
env:
CHECK_OOB: 0
IGNORE_OOB: 1
steps:
- name: Checkout Code
uses: actions/checkout@v4
@@ -98,7 +98,7 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: torch-backend-pillow-torchvision-et-pt
deps: testing_unit
deps: testing_minimal
pydeps: "pillow torchvision expecttest"
llvm: 'true'
- name: Install ninja
@@ -106,7 +106,7 @@ jobs:
sudo apt update || true
sudo apt install -y --no-install-recommends ninja-build
- name: Test one op
run: FORWARD_ONLY=1 TINY_BACKEND=1 python3 test/test_tiny.py TestTiny.test_plus
run: FORWARD_ONLY=1 TINY_BACKEND=1 python3 test/test_ops.py TestOps.test_add
- name: Test ResNet-18
run: DEBUG=2 python3 extra/torch_backend/example.py
- name: custom tests
@@ -114,7 +114,7 @@ jobs:
- name: Test one op in torch tests
run: DEBUG=2 python3 extra/torch_backend/torch_tests.py TestTinyBackendPRIVATEUSE1.test_unary_log_tiny_float32
- name: Test Ops with TINY_BACKEND
run: CPU=1 CPU_LLVM=1 LLVMOPT=0 TINY_BACKEND=1 python3 -m pytest -n auto test/backend/test_ops.py --durations=20
run: CPU=1 CPU_LLVM=1 LLVMOPT=0 TINY_BACKEND=1 python3 -m pytest -n auto test/test_ops.py --durations=20
- name: Test in-place operations on views
run: TORCH_DEBUG=1 python3 extra/torch_backend/test_inplace.py
- name: Test multi-gpu
@@ -134,7 +134,7 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: torch-backend-pillow-torchvision-et-pt
deps: testing_unit
deps: testing_minimal
llvm: 'true'
- name: Install ninja
run: |
@@ -156,27 +156,27 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: be-minimal
deps: testing_unit
deps: testing_minimal
- name: Test dtype with Python emulator
run: DEBUG=1 PYTHON=1 python3 -m pytest -n=auto test/backend/test_dtype.py test/backend/test_dtype_alu.py
run: DEBUG=1 PYTHON=1 python3 -m pytest -n=auto test/test_dtype.py test/test_dtype_alu.py
- name: Test ops with Python emulator
run: DEBUG=2 SKIP_SLOW_TEST=1 PYTHON=1 python3 -m pytest -n=auto test/backend/test_ops.py --durations=20
run: DEBUG=2 SKIP_SLOW_TEST=1 PYTHON=1 python3 -m pytest -n=auto test/test_ops.py --durations=20
- name: Test uops with Python emulator
run: PYTHON=1 python3 -m pytest test/backend/test_uops.py --durations=20
run: PYTHON=1 python3 -m pytest test/test_uops.py --durations=20
- name: Test symbolic with Python emulator
run: PYTHON=1 python3 test/backend/test_symbolic_ops.py
run: PYTHON=1 python3 test/test_symbolic_ops.py
- name: test_renderer_failures with Python emulator
run: PYTHON=1 python3 -m pytest -rA test/backend/test_renderer_failures.py::TestRendererFailures
run: PYTHON=1 python3 -m pytest -rA test/test_renderer_failures.py::TestRendererFailures
- name: Test IMAGE=2 support
run: |
IMAGE=2 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_gemm
IMAGE=2 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_simple_conv2d
IMAGE=2 PYTHON=1 python3 test/test_ops.py TestOps.test_gemm
IMAGE=2 PYTHON=1 python3 test/test_ops.py TestOps.test_simple_conv2d
- name: Test emulated METAL tensor cores
run: |
DEBUG=2 EMULATE=METAL FORWARD_ONLY=1 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_big_gemm
DEBUG=2 EMULATE=METAL FORWARD_ONLY=1 PYTHON=1 python3 test/test_ops.py TestOps.test_big_gemm
DEBUG=2 EMULATE=METAL FORWARD_ONLY=1 PYTHON=1 python3 test/opt/test_tensor_cores.py
- name: Test emulated AMX tensor cores
run: DEBUG=2 AMX=1 EMULATE=AMX FORWARD_ONLY=1 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_gemm
run: DEBUG=2 AMX=1 EMULATE=AMX FORWARD_ONLY=1 PYTHON=1 python3 test/test_ops.py TestOps.test_gemm
- name: Test emulated AMD tensor cores
run: |
DEBUG=2 EMULATE=AMD FORWARD_ONLY=1 PYTHON=1 N=16 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
@@ -197,9 +197,9 @@ jobs:
DEBUG=2 EMULATE=AMD_RDNA4 FORWARD_ONLY=1 PYTHON=1 python3 test/opt/test_tensor_cores.py
- name: Test emulated CUDA tensor cores
run: |
DEBUG=2 EMULATE=CUDA FORWARD_ONLY=1 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 EMULATE=CUDA ALLOW_TF32=1 FORWARD_ONLY=1 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_gemm
DEBUG=2 EMULATE=CUDA_SM75 FORWARD_ONLY=1 PYTHON=1 python3 test/backend/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 EMULATE=CUDA FORWARD_ONLY=1 PYTHON=1 python3 test/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 EMULATE=CUDA ALLOW_TF32=1 FORWARD_ONLY=1 PYTHON=1 python3 test/test_ops.py TestOps.test_gemm
DEBUG=2 EMULATE=CUDA_SM75 FORWARD_ONLY=1 PYTHON=1 python3 test/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 EMULATE=CUDA_SM89 ALLOW_TF32=1 FORWARD_ONLY=1 PYTHON=1 python3 test/opt/test_tensor_cores.py
- name: Test emulated INTEL OpenCL tensor cores
run: DEBUG=2 EMULATE=INTEL FORWARD_ONLY=1 PYTHON=1 HALF=1 N=64 python3 ./extra/gemm/simple_matmul.py
@@ -207,11 +207,11 @@ jobs:
run: DEBUG=2 AMX=1 EMULATE=AMX FORWARD_ONLY=1 PYTHON=1 python3 test/opt/test_tensor_cores.py
- name: Test device flop counts
run: |
DEBUG=2 EMULATE=METAL PYTHON=1 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=AMD PYTHON=1 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=CUDA PYTHON=1 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=INTEL PYTHON=1 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 AMX=1 EMULATE=AMX PYTHON=1 python3 ./test/null/test_uops_stats.py TestUOpsStats.test_simple_matmul
DEBUG=2 EMULATE=METAL PYTHON=1 python3 ./test/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=AMD PYTHON=1 python3 ./test/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=CUDA PYTHON=1 python3 ./test/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 EMULATE=INTEL PYTHON=1 python3 ./test/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 AMX=1 EMULATE=AMX PYTHON=1 python3 ./test/test_uops_stats.py TestUOpsStats.test_simple_matmul
linter:
name: Linters
@@ -229,51 +229,19 @@ jobs:
deps: linting
- name: Lint bad-indentation and trailing-whitespace with pylint
run: python -m pylint --disable=all -e W0311 -e C0303 --jobs=0 --indent-string=' ' --recursive=y .
- name: Run pre-commit linting hooks
run: SKIP=tiny,tests,example pre-commit run --all-files
- name: Lint additional files with ruff
- name: Lint with ruff
run: |
pip3 install --upgrade --force-reinstall ruff==0.14.10
pre-commit run ruff --all-files
python3 -m ruff check examples/mlperf/ --ignore E501
python3 -m ruff check extra/thunder/tiny/ --ignore E501 --ignore F841 --ignore E722
python3 -m ruff check extra/torch_backend/backend.py
- name: Run mypy with lineprecision report
- name: Run mypy
run: |
python -m mypy --lineprecision-report .
grep -v autogen lineprecision.txt | awk 'NR>2 {lines+=$2; precise+=$3; imprecise+=$4; any+=$5; empty+=$6} END {t=lines-empty; printf "TOTAL: %d lines, %d precise (%.1f%%), %d imprecise (%.1f%%), %d any (%.1f%%)\n", t, precise, 100*precise/t, imprecise, 100*imprecise/t, any, 100*any/t}'
cat lineprecision.txt
- name: Run TYPED=1
run: CHECK_OOB=0 DEV=CPU TYPED=1 python test/test_tiny.py
nulltest:
name: Null Tests
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: unittest-13
pydeps: "pillow ftfy regex pre-commit"
deps: testing_unit
llvm: 'true'
amd: 'true'
- name: Run NULL backend tests
run: NULL=1 python -m pytest -n=auto test/null/ --durations=20
- name: Run targetted tests on NULL backend
run: NULL=1 python3 -m unittest test.backend.test_multitensor.TestMultiTensor.test_data_parallel_resnet_train_step
# TODO: too slow
# - name: Run SDXL on NULL backend
# run: NULL=1 DEBUG=1 python3 examples/sdxl.py --seed 0 --noshow --timing --fakeweights
- name: Run Clip tests for SD MLPerf on NULL backend
run: NULL=1 python -m pytest -n=auto test/external/mlperf_stable_diffusion/external_test_models.py::TestOpenClip --durations=20
- name: Run AMD emulated BERT training on NULL backend
run: EMULATE=AMD_RDNA4 NULL=1 NULL_ALLOW_COPYOUT=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
# TODO: support fake weights
#- name: Run LLaMA 7B on 4 fake devices
# run: NULL=1 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 3 --temperature 0 --timing
run: TYPED=1 python -c "import tinygrad"
unittest:
name: Unit Tests
@@ -286,19 +254,28 @@ jobs:
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: unittest-13
pydeps: "pillow ftfy regex pre-commit"
key: unittest-12
pydeps: "pillow numpy ftfy regex"
deps: testing_unit
llvm: 'true'
amd: 'true'
- name: Run pre-commit test hooks
run: SKIP=ruff,mypy pre-commit run --all-files
- name: Check Device.DEFAULT
run: python -c "from tinygrad import Device; assert Device.DEFAULT == 'CPU', Device.DEFAULT"
- name: Run unit tests
run: |
CPU=1 python test/null/test_device.py TestRunAsModule.test_module_runs
CPU=1 python -m pytest -n=auto test/unit/ --durations=20
CPU=1 python test/unit/test_device.py TestRunAsModule.test_module_runs
CPU=1 python -m pytest -n=auto test/unit/ --durations=20 --deselect=test/unit/test_device.py::TestRunAsModule::test_module_runs
- name: Run targetted tests on NULL backend
run: NULL=1 python3 -m unittest test.test_multitensor.TestMultiTensor.test_data_parallel_resnet_train_step test/device/test_null.py
# TODO: too slow
# - name: Run SDXL on NULL backend
# run: NULL=1 DEBUG=1 python3 examples/sdxl.py --seed 0 --noshow --timing --fakeweights
- name: Run Clip tests for SD MLPerf on NULL backend
run: NULL=1 python -m pytest -n=auto test/external/mlperf_stable_diffusion/external_test_models.py::TestOpenClip --durations=20
- name: Run AMD emulated BERT training on NULL backend
run: EMULATE=AMD_RDNA4 NULL=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
# TODO: support fake weights
#- name: Run LLaMA 7B on 4 fake devices
# run: NULL=1 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 3 --temperature 0 --timing
- name: Run GC tests
run: python test/external/external_uop_gc.py
- name: External Benchmark Schedule
@@ -312,8 +289,8 @@ jobs:
python extra/optimization/extract_dataset.py
gzip -c /tmp/sops > extra/datasets/sops.gz
#DEBUG=1 MIN_ASTS=1 python extra/optimization/get_action_space.py
- name: Repo line count < 24000 lines
run: MAX_LINE_COUNT=24000 python sz.py
- name: Repo line count < 20000 lines
run: MAX_LINE_COUNT=20000 python sz.py
spec:
strategy:
@@ -333,7 +310,7 @@ jobs:
deps: testing_unit
python-version: '3.14'
- name: Test SPEC=2
run: SPEC=2 pytest --maxfail=10 -n auto --durations=30 test/unit test/backend test/opt --ignore test/backend/test_custom_kernel.py --ignore test/unit/test_hashing.py --timeout 60 -k "not test_setitem_big" --splits 2 --group ${{ matrix.group }}
run: SPEC=2 pytest --maxfail=10 -n auto --durations=30 --ignore=test/models --ignore test/test_custom_kernel.py --ignore test/unit/test_hashing.py --ignore test/unit/test_autogen.py --timeout 60 -k "not test_setitem_big" --splits 2 --group ${{ matrix.group }}
fuzzing:
name: Fuzzing
@@ -367,11 +344,11 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: gpu-image
deps: testing_unit
deps: testing_minimal
opencl: 'true'
- name: Test CL IMAGE=2 ops
run: |
CL=1 IMAGE=2 python -m pytest -n=auto test/backend/test_ops.py --durations=20
CL=1 IMAGE=2 python -m pytest -n=auto test/test_ops.py --durations=20
# TODO: training is broken
# CL=1 IMAGE=2 python test/models/test_end2end.py TestEnd2End.test_linear_mnist
- name: Run process replay tests
@@ -388,14 +365,14 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: gen-dataset
deps: testing
deps: testing_minimal
opencl: 'true'
- name: Generate Dataset
run: CL=1 extra/optimization/generate_dataset.sh
- name: Run Kernel Count Test
run: CL=1 python -m pytest -n=auto test/external/external_test_opt.py
- name: Run fused optimizer tests
run: CL=1 FUSE_OPTIM=1 python -m pytest -n=auto test/models/test_mnist.py test/backend/test_optim.py -k "not muon"
run: CL=1 FUSE_OPTIM=1 python -m pytest -n=auto test/models/test_mnist.py test/test_optim.py -k "not muon"
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
@@ -443,7 +420,7 @@ jobs:
with:
key: onnxoptc
deps: testing
python-version: '3.12'
python-version: '3.11'
llvm: 'true'
- name: Test ONNX (CPU)
run: CPU=1 CPU_LLVM=0 python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
@@ -454,7 +431,7 @@ jobs:
- name: Test Additional ONNX Ops (CPU)
run: CPU=1 CPU_LLVM=0 python3 test/external/external_test_onnx_ops.py
- name: Test Quantize ONNX
run: CPU=1 CPU_LLVM=0 python3 test/backend/test_quantize_onnx.py
run: CPU=1 CPU_LLVM=0 python3 test/test_quantize_onnx.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
@@ -471,7 +448,7 @@ jobs:
key: onnxoptl
deps: testing
pydeps: "tensorflow==2.19"
python-version: '3.12'
python-version: '3.11'
opencl: 'true'
- name: Test ONNX (CL)
run: CL=1 python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
@@ -484,11 +461,11 @@ jobs:
- name: Test MLPerf stuff
run: CL=1 python -m pytest -n=auto test/external/external_test_optim.py test/external/external_test_losses.py test/external/external_test_metrics.py test/external/external_test_datasets.py --durations=20
- name: NULL=1 beautiful_mnist_multigpu
run: NULL=1 NULL_ALLOW_COPYOUT=1 python examples/beautiful_mnist_multigpu.py
run: NULL=1 python examples/beautiful_mnist_multigpu.py
- name: Test Bert training
run: NULL=1 NULL_ALLOW_COPYOUT=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=24 GPUS=4 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
run: NULL=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=24 GPUS=4 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Test llama 3 training
run: NULL=1 NULL_ALLOW_COPYOUT=1 SAMPLES=300 BS=8 SEQLEN=512 GRADIENT_ACC_STEPS=1 FAKEDATA=1 DEFAULT_FLOAT=bfloat16 OPTIM_DTYPE=bfloat16 LLAMA3_SIZE=1B MODEL=llama3 python3 examples/mlperf/model_train.py
run: NULL=1 SAMPLES=300 BS=8 SEQLEN=512 GRADIENT_ACC_STEPS=1 FAKEDATA=1 DEFAULT_FLOAT=bfloat16 OPTIM_DTYPE=bfloat16 LLAMA3_SIZE=1B MODEL=llama3 python3 examples/mlperf/model_train.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
@@ -497,7 +474,7 @@ jobs:
runs-on: ubuntu-24.04
timeout-minutes: 15
env:
CHECK_OOB: 0
IGNORE_OOB: 1
steps:
- name: Checkout Code
uses: actions/checkout@v4
@@ -545,7 +522,7 @@ jobs:
with:
key: metal
deps: testing
python-version: '3.12'
python-version: '3.11'
- name: Test models (Metal)
run: METAL=1 python -m pytest -n=auto test/models --durations=20
- name: Test LLaMA compile speed
@@ -564,15 +541,15 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: devectorize-minimal
deps: testing_unit
deps: testing_minimal
pydeps: "pillow"
llvm: "true"
- name: Test LLVM=1 DEVECTORIZE=0
run: CPU=1 CPU_LLVM=1 DEVECTORIZE=0 python3 -m pytest -n auto test/test_tiny.py test/backend/test_ops.py
run: CPU=1 CPU_LLVM=1 DEVECTORIZE=0 python3 -m pytest -n auto test/test_tiny.py test/test_ops.py
- name: Test LLVM=1 DEVECTORIZE=0 for model
run: CPU=1 CPU_LLVM=1 DEVECTORIZE=0 python3 test/models/test_efficientnet.py
- name: Test CPU=1 DEVECTORIZE=0
run: CPU=1 CPU_LLVM=0 DEVECTORIZE=0 python3 -m pytest -n auto test/test_tiny.py test/backend/test_ops.py
run: CPU=1 CPU_LLVM=0 DEVECTORIZE=0 python3 -m pytest -n auto test/test_tiny.py test/test_ops.py
testdsp:
name: Linux (DSP)
@@ -585,8 +562,8 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: dsp-minimal
deps: testing_unit
pydeps: "onnx==1.18.0 onnxruntime ml_dtypes"
deps: testing_minimal
pydeps: "onnx==1.18.0 onnxruntime pillow"
llvm: "true"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
@@ -598,15 +575,15 @@ jobs:
load: true
tags: qemu-hexagon:latest
cache-from: type=gha
cache-to: ${{ github.event_name != 'pull_request' && 'type=gha,mode=min' || '' }}
cache-to: type=gha,mode=min
- name: Set MOCKDSP env
run: printf "MOCKDSP=1" >> $GITHUB_ENV
- name: Run test_tiny on DSP
run: DEBUG=2 DSP=1 python test/test_tiny.py
- name: Test transcendentals
run: CC=clang-20 DEBUG=2 DSP=1 python test/backend/test_transcendental.py TestTranscendentalVectorized
run: CC=clang-20 DEBUG=2 DSP=1 python test/test_transcendental.py TestTranscendentalVectorized
- name: Test quantize onnx
run: DEBUG=2 DSP=1 python3 test/backend/test_quantize_onnx.py
run: DEBUG=2 DSP=1 python3 test/test_quantize_onnx.py
testwebgpu:
name: Linux (WebGPU)
@@ -619,106 +596,32 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: webgpu-minimal
deps: testing_unit
python-version: '3.12'
deps: testing_minimal
python-version: '3.11'
webgpu: 'true'
- name: Check Device.DEFAULT (WEBGPU) and print some source
run: |
WEBGPU=1 python -c "from tinygrad import Device; assert Device.DEFAULT == 'WEBGPU', Device.DEFAULT"
WEBGPU=1 DEBUG=4 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
WEBGPU=1 DEBUG=4 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
- name: Run selected webgpu tests
run: |
WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Vulkan" python3 -m pytest -n=auto test/backend --durations=20
WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Vulkan" python3 -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
testamdasm:
name: AMD ASM IDE
runs-on: ubuntu-24.04
timeout-minutes: 20
env:
AMD: 1
PYTHON_REMU: 1
MOCKGPU: 1
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: rdna3-emu
deps: testing_unit
amd: 'true'
python-version: '3.14'
- name: Verify AMD autogen is up to date
run: |
python -m tinygrad.renderer.amd.generate
git diff --exit-code tinygrad/runtime/autogen/amd/
- name: Install LLVM 21
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc
echo "deb http://apt.llvm.org/$(lsb_release -cs)/ llvm-toolchain-$(lsb_release -cs)-21 main" | sudo tee /etc/apt/sources.list.d/llvm.list
sudo apt-get update
sudo apt-get install llvm-21 llvm-21-tools cloc
- name: Install rocprof-trace-decoder
run: sudo PYTHONPATH="." ./extra/sqtt/install_rocprof_decoder.py
- name: Run AMD renderer tests
run: AMD_LLVM=0 python -m pytest -n=auto test/amd/ --durations 20
- name: Run AMD renderer tests (AMD_LLVM=1)
run: AMD_LLVM=1 python -m pytest -n=auto test/amd/ --durations 20
- name: Run SQTT profiling tests
run: PROFILE=1 SQTT=1 python3 -m pytest -n=auto test/amd/test_sqtt_profiler.py
- name: Run AMD emulated tests on NULL backend
env:
AMD: 0
run: |
PYTHONPATH=. NULL=1 EMULATE=AMD python extra/mmapeak/mmapeak.py
PYTHONPATH=. NULL=1 EMULATE=AMD_CDNA4 python3 -m pytest -n=auto test/testextra/test_tk.py test/backend/test_asm_gemm.py
- name: Run ASM matmul on MOCKGPU
run: PYTHONPATH="." AMD=1 MOCKGPU=1 N=256 python3 extra/gemm/amd_asm_matmul.py
- name: Run LLVM test
run: AMD_LLVM=1 python test/device/test_amd_llvm.py
testmockam:
name: Linux (am)
runs-on: ubuntu-24.04
timeout-minutes: 15
env:
AMD: 1
MOCKGPU: 1
AMD_IFACE: PCI
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: mockam
deps: testing_unit
amd: 'true'
- name: Run test_tiny on MOCKAM
run: python test/test_tiny.py
- name: Run test_tiny on MOCKAM USB
run: AMD_IFACE=USB python test/test_tiny.py
- name: Run test_hcq on MOCKAM
run: python -m pytest test/device/test_hcq.py
testamd:
strategy:
fail-fast: false
matrix:
backend: [amd, amdllvm]
arch: [rdna3, rdna4]
#arch: [rdna3, rdna4, cdna4]
name: Linux (${{ matrix.backend }} ${{ matrix.arch }})
name: Linux (${{ matrix.backend }})
runs-on: ubuntu-22.04
timeout-minutes: 15
timeout-minutes: 20
env:
AMD: 1
MOCKGPU: 1
MOCKGPU_ARCH: ${{ matrix.arch }}
SKIP_SLOW_TEST: 1
FORWARD_ONLY: 1
AMD_LLVM: ${{ matrix.backend == 'amdllvm' && '1' || matrix.backend != 'amdllvm' && '0' }}
steps:
- name: Checkout Code
@@ -727,20 +630,70 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: ${{ matrix.backend }}-minimal
deps: testing_unit
deps: testing_minimal
amd: 'true'
llvm: ${{ matrix.backend == 'amdllvm' && 'true' }}
- name: Check Device.DEFAULT and print some source
run: |
python3 -c "from tinygrad import Device; assert Device.DEFAULT in ['AMD'], Device.DEFAULT"
DEBUG=5 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
DEBUG=5 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
- name: Run LLVM test
if: matrix.backend=='amdllvm'
run: python test/device/test_amd_llvm.py
- name: Run pytest (amd)
run: python -m pytest -n=auto test/backend/test_ops.py test/backend/test_dtype.py test/backend/test_dtype_alu.py test/backend/test_linearizer.py test/backend/test_randomness.py test/backend/test_jit.py test/backend/test_graph.py test/backend/test_multitensor.py test/device/test_hcq.py test/testextra/test_cfg_viz.py test/external/external_test_am.py --durations=20
run: python -m pytest -n=auto test/test_ops.py test/test_dtype.py test/test_dtype_alu.py test/test_linearizer.py test/test_randomness.py test/test_jit.py test/test_graph.py test/test_multitensor.py test/device/test_hcq.py test/testextra/test_cfg_viz.py --durations=20
- name: Run pytest (amd)
run: python -m pytest test/external/external_test_am.py --durations=20
- name: Run TRANSCENDENTAL math
run: TRANSCENDENTAL=2 python -m pytest -n=auto test/backend/test_ops.py::TestOps::test_sin test/backend/test_ops.py::TestOps::test_cos test/backend/test_ops.py::TestOps::test_tan test/backend/test_ops.py::TestOps::test_exp test/backend/test_ops.py::TestOps::test_log --durations=20
run: TRANSCENDENTAL=2 python -m pytest -n=auto test/test_ops.py::TestOps::test_sin test/test_ops.py::TestOps::test_cos test/test_ops.py::TestOps::test_tan test/test_ops.py::TestOps::test_exp test/test_ops.py::TestOps::test_log --durations=20
- name: Run TestOps.test_add with SQTT
run: |
VIZ=1 PMC=1 DEBUG=5 python3 test/test_ops.py TestOps.test_add
VIZ=1 SQTT=1 DEBUG=5 python3 test/test_ops.py TestOps.test_add
extra/sqtt/rgptool.py create "/tmp/profile.pkl.$USER" -o /tmp/gpu0.rgp
- name: Run process replay tests
uses: ./.github/actions/process-replay
testamdasm:
name: AMD ASM IDE
runs-on: ubuntu-24.04
timeout-minutes: 10
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: rdna3-emu
deps: testing_minimal
amd: 'true'
python-version: '3.13'
- name: Verify AMD autogen is up to date
run: |
python -m extra.assembly.amd.amdxml
git diff --exit-code extra/assembly/amd/autogen/
- name: Install LLVM 21
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc
echo "deb http://apt.llvm.org/$(lsb_release -cs)/ llvm-toolchain-$(lsb_release -cs)-21 main" | sudo tee /etc/apt/sources.list.d/llvm.list
sudo apt-get update
sudo apt-get install llvm-21 llvm-21-tools cloc
- name: RDNA3 Line Count
run: cloc --by-file extra/assembly/amd/*.py
- name: Install rocprof-trace-decoder
run: sudo PYTHONPATH="." ./extra/sqtt/install_sqtt_decoder.py
- name: Run RDNA3 emulator tests
run: python -m pytest -n=auto extra/assembly/amd/ --durations 20
- name: Run RDNA3 emulator tests (AMD_LLVM=1)
run: AMD_LLVM=1 python -m pytest -n=auto extra/assembly/amd/ --durations 20
- name: Run RDNA3 dtype tests
run: AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=auto test/test_dtype_alu.py test/test_dtype.py
- name: Run RDNA3 dtype tests (AMD_LLVM=1)
run: AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=auto test/test_dtype_alu.py test/test_dtype.py
# TODO: run all once emulator is faster
- name: Run RDNA3 ops tests
run: SKIP_SLOW_TEST=1 AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=auto test/test_ops.py -k "test_sparse_categorical_crossentropy or test_tril"
testnvidia:
strategy:
fail-fast: false
@@ -760,7 +713,7 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: ${{ matrix.backend }}-minimal
deps: testing_unit
deps: testing_minimal
cuda: 'true'
ocelot: 'true'
- name: Set env
@@ -768,12 +721,10 @@ jobs:
- name: Check Device.DEFAULT and print some source
run: |
python3 -c "from tinygrad import Device; assert Device.DEFAULT in ['CUDA','NV'], Device.DEFAULT"
DEBUG=5 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
DEBUG=5 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
- name: Run pytest (cuda)
# skip multitensor because it's slow
run: python -m pytest -n=auto test/backend --ignore test/backend/test_multitensor.py --durations=20
- name: Run TestOps.test_add with PMA
run: VIZ=-1 PMA=1 DEBUG=5 python3 test/backend/test_ops.py TestOps.test_add
run: python -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --ignore test/test_gc.py --ignore test/test_multitensor.py --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
@@ -793,7 +744,7 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: ${{ matrix.backend }}-minimal
deps: testing_unit
deps: testing_minimal
opencl: ${{ matrix.backend == 'opencl' && 'true' }}
llvm: ${{ matrix.backend == 'llvm' || matrix.backend == 'lvp' }}
mesa: ${{ matrix.backend == 'lvp' && 'true' }}
@@ -802,11 +753,11 @@ jobs:
- name: Check Device.DEFAULT and print some source
run: |
python3 -c "from tinygrad import Device; assert Device.DEFAULT in ['CPU','CL'], Device.DEFAULT"
DEBUG=5 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
DEBUG=5 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
- name: Run pytest (${{ matrix.backend }})
run: python -m pytest -n=auto test/backend --durations=20
run: python -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --durations=20
- name: Run TRANSCENDENTAL math
run: TRANSCENDENTAL=2 python -m pytest -n=auto test/backend/test_ops.py::TestOps::test_sin test/backend/test_ops.py::TestOps::test_cos test/backend/test_ops.py::TestOps::test_tan test/backend/test_ops.py::TestOps::test_exp test/backend/test_ops.py::TestOps::test_log --durations=20
run: TRANSCENDENTAL=2 python -m pytest -n=auto test/test_ops.py::TestOps::test_sin test/test_ops.py::TestOps::test_cos test/test_ops.py::TestOps::test_tan test/test_ops.py::TestOps::test_exp test/test_ops.py::TestOps::test_log --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
@@ -824,29 +775,27 @@ jobs:
with:
key: metal
deps: testing
python-version: '3.12'
python-version: '3.11'
amd: 'true'
cuda: 'true'
ocelot: 'true'
llvm: 'true'
- name: Run unit tests
env:
LIBCLANG_PATH: '/opt/homebrew/opt/llvm@20/lib/libclang.dylib'
run: METAL=1 python -m pytest -n=auto test/unit/ --durations=20
- name: Run NULL backend tests
run: NULL=1 python -m pytest -n=auto test/null/ --durations=20
- name: Run ONNX
run: METAL=1 python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
- name: Test tensor core ops (fake)
run: METAL=1 DEBUG=3 TC=2 python test/backend/test_ops.py TestOps.test_gemm
run: METAL=1 DEBUG=3 TC=2 python test/test_ops.py TestOps.test_gemm
- name: Test tensor core ops (real)
run: METAL=1 DEBUG=3 python test/backend/test_ops.py TestOps.test_big_gemm
run: METAL=1 DEBUG=3 python test/test_ops.py TestOps.test_big_gemm
- name: Test Beam Search
run: METAL=1 IGNORE_BEAM_CACHE=1 python3 -m pytest extra/optimization/test_beam_search.py
- name: Test Device Specific
run: METAL=1 python3 -m pytest test/device/test_metal.py
#- name: Fuzz Test linearizer
# run: METAL=1 DEPTH=4 FUZZ_N=50 FUZZ_MAX_SIZE=1000000 python test/external/fuzz_linearizer.py
- name: Run TRANSCENDENTAL math
run: METAL=1 TRANSCENDENTAL=2 python -m pytest -n=auto test/backend/test_ops.py::TestOps::test_sin test/backend/test_ops.py::TestOps::test_cos test/backend/test_ops.py::TestOps::test_tan test/backend/test_ops.py::TestOps::test_exp test/backend/test_ops.py::TestOps::test_log --durations=20
run: METAL=1 TRANSCENDENTAL=2 python -m pytest -n=auto test/test_ops.py::TestOps::test_sin test/test_ops.py::TestOps::test_cos test/test_ops.py::TestOps::test_tan test/test_ops.py::TestOps::test_exp test/test_ops.py::TestOps::test_log --durations=20
- name: Run pytest (amd)
env:
MOCKGPU: 1
@@ -869,8 +818,6 @@ jobs:
NV_PTX: 1
NV: 1
FORWARD_ONLY: 1
# TODO: failing due to library loading error
CAPTURE_PROCESS_REPLAY: 0
run: |
python3 -m pytest -n=auto test/device/test_hcq.py test/test_tiny.py --durations=20
- name: Run process replay tests
@@ -889,14 +836,14 @@ jobs:
key: osx-webgpu
deps: testing
webgpu: 'true'
- name: Test infinity math in WGSL
run: WEBGPU=1 python -m pytest -n=auto test/test_renderer_failures.py::TestWGSLFailures::test_multiply_infinity --durations=20
- name: Build WEBGPU Efficientnet
run: WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Metal" python3 -m examples.compile_efficientnet
- name: Run selected webgpu tests
run: WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Metal" python3 -m pytest -n=auto test/backend --durations=20
#- name: Clean npm cache
# run: npm cache clean --force
#- name: Install Puppeteer
# run: npm install puppeteer
- name: Clean npm cache
run: npm cache clean --force
- name: Install Puppeteer
run: npm install puppeteer
# this is also flaky
#- name: Run WEBGPU Efficientnet
# run: node test/web/test_webgpu.js
@@ -928,7 +875,8 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: macos-${{ matrix.backend }}-minimal
deps: testing_unit
deps: testing_minimal
pydeps: "capstone"
llvm: ${{ matrix.backend == 'llvm' || matrix.backend == 'lvp' }}
mesa: ${{ matrix.backend == 'lvp' && 'true' }}
- name: Set env
@@ -938,7 +886,7 @@ jobs:
python -c "from tinygrad import Device; assert Device.DEFAULT == {'LLVM':'CPU','LVP':'CPU'}.get(x:='${{ matrix.backend }}'.upper(), x), Device.DEFAULT"
DEBUG=4 python3 test/test_tiny.py TestTiny.test_plus
- name: Run pytest (${{ matrix.backend }})
run: python3 -m pytest -n=auto test/backend --durations=20
run: python3 -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
- name: Run macOS-specific unit test
@@ -971,16 +919,12 @@ jobs:
- name: Run unit tests
if: matrix.backend=='llvm'
# test_newton_schulz hits RecursionError
run: python -m pytest -n=auto test/unit/ --ignore=test/unit/test_disk_tensor.py --ignore=test/unit/test_tar.py --ignore=test/unit/test_linalg.py --durations=20
- name: Run NULL backend tests
if: matrix.backend=='llvm'
shell: bash
run: CPU=0 CPU_LLVM=0 NULL=1 python -m pytest -n=auto test/null/ --ignore=test/null/test_elf.py --durations=20
run: python -m pytest -n=auto test/unit/ --ignore=test/unit/test_disk_tensor.py --ignore=test/unit/test_elf.py --ignore=test/unit/test_tar.py --ignore=test/unit/test_linalg.py --durations=20
- name: Run pytest (${{ matrix.backend }})
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == {'LLVM':'CPU'}.get(x:='${{ matrix.backend }}'.upper(), x), Device.DEFAULT"
python -m pytest -n=auto test/test_tiny.py test/backend/test_ops.py --durations=20
python -m pytest -n=auto test/test_tiny.py test/test_ops.py --durations=20
# ****** Compile-only Tests ******
@@ -999,38 +943,15 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
key: compile-${{ matrix.backend }}
deps: testing_unit
deps: testing_minimal
mesa: ${{ (matrix.backend == 'ir3' || matrix.backend == 'nak') && 'true' }}
python-version: '3.12'
python-version: '3.14'
- name: Set env
shell: bash
run: printf "NULL=1\nNULL_ALLOW_COPYOUT=1\n${{ matrix.backend == 'ir3' && 'NULL_IR3=1' || matrix.backend == 'nak' && 'NULL_NAK=1' }}" >> $GITHUB_ENV
run: printf "NULL=1\n${{ matrix.backend == 'ir3' && 'NULL_IR3=1' || matrix.backend == 'nak' && 'NULL_NAK=1' }}" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
qcomclcompiletests:
name: Compile-only (QCOM CL)
runs-on: ubuntu-24.04-arm
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: compile-qcomcl
deps: testing_unit
tinydreno: 'true'
python-version: '3.12'
- name: Set env
shell: bash
run: printf "NULL=1\nNULL_ALLOW_COPYOUT=1\nNULL_QCOMCL=1" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
DEBUG=4 python3 test/test_ops.py TestOps.test_add
python -m pytest -n=auto test/test_ops.py --durations=20
+1 -4
View File
@@ -58,13 +58,10 @@ weights
*.lprof
comgr_*
*.pkl
!extra/sqtt/examples/**/*.pkl
site/
profile_stats
*.log
target
.mypy_cache
mutants
.mutmut-cache
dagre/
graphlib/
.mutmut-cache
+1 -1
View File
@@ -28,7 +28,7 @@ repos:
pass_filenames: false
- id: tests
name: comprehensive test suite
entry: env OMP_NUM_THREADS=1 SKIP_SLOW_TEST=1 PYTHONPATH="." python3 -m pytest -n=6 test/backend/test_ops.py test/backend/test_schedule.py test/unit/test_assign.py test/backend/test_tensor.py test/backend/test_jit.py test/unit/test_schedule_cache.py test/null/test_pattern_matcher.py test/null/test_uop_symbolic.py test/unit/test_helpers.py
entry: env OMP_NUM_THREADS=1 SKIP_SLOW_TEST=1 PYTHONPATH="." python3 -m pytest -n=6 test/test_ops.py test/test_schedule.py test/test_assign.py test/test_tensor.py test/test_jit.py test/unit/test_schedule_cache.py test/unit/test_pattern_matcher.py test/unit/test_uop_symbolic.py test/unit/test_helpers.py
language: system
always_run: true
pass_filenames: false
+17
View File
@@ -0,0 +1,17 @@
# tinygrad agents
Hello agent. You are one of the most talented programmers of your generation.
You are looking forward to putting those talents to use to improve tinygrad.
## philosophy
tinygrad is a **tensor** library focused on beauty and minimalism, while still matching the functionality of PyTorch and JAX.
Every line must earn its keep. Prefer readability over cleverness. We believe that if carefully designed, 10 lines can have the impact of 1000.
Never mix functionality changes with whitespace changes. All functionality changes must be tested.
## style
Use **2-space indentation**, and keep lines to a maximum of **150 characters**. Match the existing style.
+227
View File
@@ -0,0 +1,227 @@
# Claude Code Guide for tinygrad
## Architecture Overview
tinygrad compiles tensor operations into optimized kernels. The pipeline:
1. **Tensor** (`tensor.py`) - User-facing API, creates UOp graph
2. **UOp** (`uop/ops.py`) - Unified IR for all operations (both tensor and kernel level)
3. **Schedule** (`engine/schedule.py`, `schedule/`) - Converts tensor UOps to kernel UOps
4. **Codegen** (`codegen/`) - Converts kernel UOps to device code
5. **Runtime** (`runtime/`) - Device-specific execution
## Key Concepts
### UOp (Universal Operation)
Everything is a UOp - tensors, operations, buffers, kernels. Key properties:
- `op`: The operation type (Ops enum)
- `dtype`: Data type
- `src`: Tuple of source UOps
- `arg`: Operation-specific argument
- `tag`: Optional tag for graph transformations
UOps are **immutable and cached** - creating the same UOp twice returns the same object (ucache).
### PatternMatcher
Used extensively for graph transformations:
```python
pm = PatternMatcher([
(UPat(Ops.ADD, src=(UPat.cvar("x"), UPat.cvar("x"))), lambda x: x * 2),
])
result = graph_rewrite(uop, pm)
```
### Schedule Cache
Schedules are cached by graph structure. BIND nodes (variables with bound values) are unbound before cache key computation so different values hit the same cache.
## Testing
```bash
# Run specific test
python -m pytest test/unit/test_schedule_cache.py -xvs
# Run with timeout
python -m pytest test/test_symbolic_ops.py -x --timeout=60
# Debug with print
DEBUG=2 python -m pytest test/test_schedule.py::test_name -xvs
# Visualize UOp graphs
VIZ=1 python -c "from tinygrad import Tensor; Tensor.ones(10).sum().realize()"
```
## Common Environment Variables
- `DEBUG=1-7` - Increasing verbosity (7 shows assembly output)
- `VIZ=1` - Enable graph visualization
- `SPEC=1` - Enable UOp spec verification
- `NOOPT=1` - Disable optimizations
- `DEVICE=CPU/CUDA/AMD/METAL` - Set default device
## Debugging Tips
1. **Print UOp graphs**: `print(tensor.uop)` or `print(tensor.uop.sink())`
2. **Check schedule**: `tensor.schedule()` returns list of ExecItems
3. **Trace graph rewrites**: Use `VIZ=1` or add print in PatternMatcher callbacks
4. **Find UOps by type**: `[u for u in uop.toposort() if u.op is Ops.SOMETHING]`
## Workflow Rules
- **NEVER commit without explicit user approval** - always show the diff and wait for approval
- **NEVER amend commits** - always create a new commit instead
- Run `pre-commit run --all-files` before committing to catch linting/type errors
- Run tests before proposing commits
- Test with `SPEC=2` when modifying UOp-related code
## Auto-generated Files (DO NOT EDIT)
The following files are auto-generated and should never be edited manually:
- `extra/assembly/amd/autogen/{arch}/__init__.py` - Generated by `python -m extra.assembly.amd.dsl --arch {arch}`
- `extra/assembly/amd/autogen/{arch}/gen_pcode.py` - Generated by `python -m extra.assembly.amd.pcode --arch {arch}`
Where `{arch}` is one of: `rdna3`, `rdna4`, `cdna`
To add missing instruction implementations, add them to `extra/assembly/amd/emu.py` instead.
## Style Notes
- 2-space indentation, 150 char line limit
- PatternMatchers should be defined at module level (slow to construct)
- Prefer `graph_rewrite` over manual graph traversal
- UOp methods like `.replace()` preserve tags unless explicitly changed
- Use `.rtag(value)` to add tags to UOps
## Lessons Learned
### UOp ucache Behavior
UOps are cached by their contents - creating a UOp with identical (op, dtype, src, arg) returns the **same object**. This means:
- `uop.replace(tag=None)` on a tagged UOp returns the original untagged UOp if it exists in cache
- Two UOps with same structure are identical (`is` comparison works)
### Spec Validation
When adding new UOp patterns, update `tinygrad/uop/spec.py`. Test with:
```bash
SPEC=2 python3 test/unit/test_something.py
```
Spec issues appear as `RuntimeError: SPEC ISSUE None: UOp(...)`.
### Schedule Cache Key Normalization
The schedule cache strips values from BIND nodes so different bound values (e.g., KV cache positions) hit the same cache entry:
- `pm_pre_sched_cache`: BIND(DEFINE_VAR, CONST) → BIND(DEFINE_VAR) for cache key
- `pm_post_sched_cache`: restores original BIND from context
- When accessing `bind.src[1]`, check `len(bind.src) > 1` first (might be stripped)
- Extract var_vals from `input_buffers` dict after graph_rewrite (avoids extra toposort)
### Avoiding Extra Work
- Use ctx dict from graph_rewrite to collect info during traversal instead of separate toposort
- Only extract var_vals when schedule is non-empty (no kernels = no vars needed)
- PatternMatchers are slow to construct - define at module level, not in functions
### Readability Over Speed
Don't add complexity for marginal performance gains. Simpler code that's slightly slower is often better:
```python
# BAD: "optimized" with extra complexity
if has_afters: # skip toposort if no AFTERs
after_map = [(u, u.buf_uop) for u in big_sink.toposort() if u.op is Ops.AFTER]
# GOOD: simple, always works
after_map = [(u, u.buf_uop) for u in big_sink.toposort() if u.op is Ops.AFTER]
```
The conditional check adds complexity, potential bugs, and often negligible speedup. Only optimize when profiling shows a real bottleneck.
### Testing LLM Changes
```bash
# Quick smoke test
echo "Hello" | DEBUG=1 python tinygrad/apps/llm.py --model "llama3.2:1b"
# Check cache hits (should see "cache hit" after warmup)
echo "Hello world" | DEBUG=1 python tinygrad/apps/llm.py --model "llama3.2:1b" 2>&1 | grep cache
# Test with beam search
echo "Hello" | BEAM=2 python tinygrad/apps/llm.py --model "llama3.2:1b"
```
## Common Patterns
### Graph Transformation
```python
def my_transform(ctx, x):
# Return new UOp or None to skip
return x.replace(arg=new_arg)
pm = PatternMatcher([
(UPat(Ops.SOMETHING, name="x"), my_transform),
])
result = graph_rewrite(input_uop, pm, ctx={})
```
### Finding Variables
```python
# Get all variables in a UOp graph
variables = uop.variables()
# Get bound variable values
var, val = bind_uop.unbind()
```
### Shape Handling
```python
# Shapes can be symbolic (contain UOps)
shape = tensor.shape # tuple[sint, ...] where sint = int | UOp
```
## Performance Optimization
When optimizing tinygrad internals:
1. **Measure wall time, not just call counts** - Reducing `graph_rewrite` calls doesn't always improve wall time. The overhead of conditional checks can exceed the cost of the operation being skipped.
2. **Profile each optimization individually** - Run benchmarks with and without each change to measure actual impact. Use `test/external/external_benchmark_schedule.py` for schedule/rewrite timing.
3. **Early exits in hot paths are effective** - Simple checks like `if self.op is Ops.CONST: return self` in `simplify()` can eliminate many unnecessary `graph_rewrite` calls.
4. **`graph_rewrite` is expensive** - Each call has overhead even for small graphs. Avoid calling it when the result is trivially known (e.g., simplifying a CONST returns itself).
5. **Beware iterator overhead** - Checks like `all(x.op is Ops.CONST for x in self.src)` can be slower than just running the operation, especially for small sequences.
6. **Verify cache hit rates before adding/keeping caches** - Measure actual hit rates with real workloads. A cache with 0% hit rate is pure overhead (e.g., `pm_cache` was removed because the algorithm guarantees each UOp is only passed to `pm_rewrite` once).
7. **Use `TRACK_MATCH_STATS=2` to profile pattern matching** - This shows match rates and time per pattern. Look for patterns with 0% match rate that still cost significant time - these are pure overhead for that workload.
8. **Cached properties beat manual traversal** - `backward_slice` uses `@functools.cached_property`. A DFS with early-exit sounds faster but is actually slower because it doesn't benefit from caching. The cache hit benefit often outweighs algorithmic improvements.
9. **Avoid creating intermediate objects in hot paths** - For example, `any(x.op in ops for x in self.backward_slice)` is faster than `any(x.op in ops for x in {self:None, **self.backward_slice})` because it avoids dict creation.
## Pattern Matching Analysis
**Use the right tool:**
- `TRACK_MATCH_STATS=2` - **Profiling**: identify expensive patterns
- `VIZ=-1` - **Inspection**: see all transformations, what every match pattern does, the before/after diffs
```bash
TRACK_MATCH_STATS=2 PYTHONPATH="." python3 test/external/external_benchmark_schedule.py
```
Output format: `matches / attempts -- match_time / total_time ms -- location`
Key patterns to watch (from ResNet50 benchmark):
- `split_load_store`: ~146ms, 31% match rate - does real work
- `simplify_valid`: ~75ms, 0% match rate in this workload - checks AND ops for INDEX in backward slice
- `vmin==vmax folding`: ~55ms, 0.33% match rate - checks 52K ops but rarely matches
Patterns with 0% match rate are workload-specific overhead. They may be useful in other workloads, so don't remove them without understanding their purpose.
```bash
# Save the trace
VIZ=-1 python test/test_tiny.py TestTiny.test_gemm
# Explore it
./extra/viz/cli.py --help
```
## AMD Performance Counter Profiling
Set VIZ to `-2` to save performance counters traces for the AMD backend.
Use the CLI in `./extra/sqtt/roc.py` to explore the trace.
+1 -1
View File
@@ -192,7 +192,7 @@ For more examples on how to run the full test suite please refer to the [CI work
Some examples of running tests locally:
```sh
python3 -m pip install -e '.[testing]' # install extra deps for testing
python3 test/backend/test_ops.py # just the ops tests
python3 test/test_ops.py # just the ops tests
python3 -m pytest test/ # whole test suite
```
+1 -1
View File
@@ -10,7 +10,7 @@ Directories are listed in order of how they are processed.
Group UOps into kernels.
::: tinygrad.schedule.rangeify.get_kernel_graph
::: tinygrad.schedule.rangeify.get_rangeify_map
options:
members: false
show_labels: false
-196
View File
@@ -1,196 +0,0 @@
from tinygrad import Tensor, dtypes, Context, getenv, UOp, fetch
from tinygrad.uop.ops import Ops, PatternMatcher, UPat
from tinygrad.uop.symbolic import symbolic
from tinygrad.codegen import Renderer
from tinygrad.codegen.opt import Opt, OptOps
# ************************* implementation of the problem ************************
def myhash(a: Tensor) -> Tensor:
a = (a + 0x7ED55D16) + (a << 12)
a = (a ^ 0xC761C23C) ^ (a >> 19)
a = (a + 0x165667B1) + (a << 5)
a = (a + 0xD3A2646C) ^ (a << 9)
a = (a + 0xFD7046C5) + (a << 3)
a = (a ^ 0xB55A4F09) ^ (a >> 16)
return a
def select_with_where_tree(values: Tensor, relative_idx: Tensor) -> Tensor:
n = values.shape[0]
if n == 1: return values[0].expand(relative_idx.shape)
mid = n // 2
left = select_with_where_tree(values[:mid], relative_idx)
right = select_with_where_tree(values[mid:], relative_idx - mid)
go_left = relative_idx < mid
return go_left.where(left, right)
def tree_traversal(forest: Tensor, val: Tensor, height: int, rounds: int, where_tree_threshold=3) -> Tensor:
# All walkers start at idx=0
idx = Tensor.zeros(val.shape, device=val.device, dtype=dtypes.uint32)
for r in range(rounds):
level = r % (height + 1)
level_start = (1 << level) - 1
level_size = 1 << level
if level == 0:
# At root (level 0), all walkers are at idx=0
# No gather needed, just broadcast the root value
node_val = forest[0].expand(val.shape)
idx = idx * 0 # Reset to 0
elif level <= where_tree_threshold:
# Small level: use where-tree
level_values = forest[level_start : level_start + level_size]
relative_idx = (idx - level_start)
node_val = select_with_where_tree(level_values, relative_idx)
else:
# Large level: use gather
node_val = forest.gather(0, idx)
val = myhash(val ^ node_val)
idx = (idx << 1) + (1 + (val & 1))
# No wrap check needed! At round 10 (level becomes 0), we reset idx above.
return val.contiguous(arg=(Opt(OptOps.UPCAST, 0, 8),))
# ************************* renderer for VLIW machine *************************
def loop_unrolling(sink:UOp):
rng = [x for x in sink.toposort() if x.op is Ops.RANGE]
if len(rng) == 0: return None
print(f"unrolling loop with size {rng[0].vmax+1}")
unrolled_sinks = [sink.substitute({rng[0]:rng[0].const_like(i)}).src[0] for i in range(rng[0].vmax+1)]
return UOp.sink(*unrolled_sinks, arg=sink.arg)
global_addrs = []
vliw_prepare = PatternMatcher([
# loop unrolling (should be a part of tinygrad)
(UPat(Ops.SINK, name="sink"), loop_unrolling),
# cast is fake
(UPat(Ops.CAST, name="c"), lambda c: c.src[0]),
# rewrites to hardcode the addresses in memory
(UPat(Ops.PARAM, name="dg"), lambda dg: UOp.const(dtypes.uint, global_addrs[dg.arg])),
# INDEX is just plus
(UPat(Ops.INDEX, name="i"), lambda i: i.src[0]+i.src[1]),
])+symbolic
class VLIWRenderer(Renderer):
has_local = False # TODO: this should be the default / cleaned up
# this says this backend supports MULACC + more. decompositions uses this
code_for_op: dict = {Ops.MULACC: None, Ops.ADD: "+", Ops.MUL: "*",
Ops.XOR: "^", Ops.AND: "&", Ops.OR: "|",
Ops.SHL: "<<", Ops.SHR: ">>", Ops.CMPLT: "<"}
# this matcher runs while still in graph form
pre_matcher = vliw_prepare
def render(self, uops:list[UOp]):
# TODO: this is a minimal renderer. for low cycle count, make it good
# to get speed, you need to add VLIW packing
# to get under 1536 regs, you need to add a register allocator
# we left the fun parts to you
print(f"rendering with {len(uops)} uops")
reg, inst = 0, []
r: dict[UOp, int] = {}
for u in uops:
assert u.dtype.count in (1,8), "dtype count must be 1 or 8"
# dumb register allocator
if u.op not in {Ops.STORE, Ops.SINK, Ops.GEP}:
r[u] = reg
reg += u.dtype.count
# render UOps to instructions
match u.op:
case Ops.SINK:
inst.append({"flow": [("halt",)]})
case Ops.CONST:
inst.append({"load": [("const", r[u], u.arg)]})
case Ops.GEP:
# a GEP is just an alias to a special register in the vector
r[u] = r[u.src[0]] + u.arg[0]
case Ops.VECTORIZE:
if all(s == u.src[0] for s in u.src):
# if all sources are the same, we can broadcast
inst.append({"valu": [("vbroadcast", r[u], r[u.src[0]])]})
else:
# this is a copy into a contiguous chunk of registers
inst.extend({"flow": [("add_imm", r[u]+i, r[s], 0)]} for i,s in enumerate(u.src) if r[s] != r[u]+i)
case Ops.LOAD:
op = "vload" if u.dtype.count > 1 else "load"
inst.append({"load": [(op, r[u], r[u.src[0]])]})
case Ops.STORE:
op = "vstore" if u.src[1].dtype.count > 1 else "store"
inst.append({"store": [(op, r[u.src[0]], r[u.src[1]])]})
case Ops.MULACC:
assert u.dtype.count == 8
inst.append({"valu": [("multiply_add", r[u], r[u.src[0]], r[u.src[1]], r[u.src[2]])]})
case Ops.WHERE:
assert u.dtype.count == 8
inst.append({"flow": [("vselect", r[u], r[u.src[0]], r[u.src[1]], r[u.src[2]])]})
case _ if u.op in self.code_for_op:
cat = "valu" if u.dtype.count > 1 else "alu"
inst.append({cat: [(self.code_for_op[u.op], r[u], r[u.src[0]], r[u.src[1]])]})
case _:
raise NotImplementedError(f"unhandled op {u.op}")
return repr(inst)
# ************************* test and render *************************
import sys, types
PROBLEM_URL = "https://raw.githubusercontent.com/anthropics/original_performance_takehome/refs/heads/main/tests/frozen_problem.py"
sys.modules["problem"] = problem = types.ModuleType("problem")
exec(fetch(PROBLEM_URL).read_text(), problem.__dict__)
if __name__ == "__main__":
batch_size = getenv("BS", 256)
height = 10
rounds = getenv("ROUNDS", 16)
# build problem
tree = problem.Tree.generate(height)
inp = problem.Input.generate(tree, batch_size, rounds)
mem = problem.build_mem_image(tree, inp)
global_addrs.extend([mem[6], mem[6], mem[4]]) # output, input, forest
# *** verify the kernel in tinygrad compared to reference ***
forest_t = Tensor(tree.values, dtype=dtypes.uint32)
val_t = Tensor(inp.values, dtype=dtypes.uint32)
if getenv("VERIFY", 1):
# verify on normal tinygrad device
with Context(PCONTIG=2):
out = tree_traversal(forest_t, val_t, height, rounds)
val_out = out.tolist()
problem.reference_kernel(tree, inp)
assert val_out == inp.values
print("verification passed")
# *** render to device ***
from tinygrad.codegen import get_program
with Context(PCONTIG=2, DEVECTORIZE=2, SPEC=0):
out = tree_traversal(forest_t, val_t, height, rounds)
sink = out.schedule()[-1].ast
prg = get_program(sink, VLIWRenderer())
# *** run on Machine and compare ***
# NOTE: the scratch size needs to be reduced to 1536 when you have a register allocator
src = eval(prg.src)
max_regs = max(t[1] for instr in src for v in instr.values() for t in v if len(t) > 1) + 8
print(f"{max_regs:5d} regs used" + ("" if max_regs <= 1536 else " <-- WARNING: TOO MANY REGISTERS, MUST BE <= 1536"))
machine = problem.Machine(mem, src, problem.DebugInfo(scratch_map={}), n_cores=1, trace=False, scratch_size=max_regs)
machine.run()
print(f"ran for {machine.cycle:5d} cycles" + ("" if machine.cycle <= 1363 else " <-- EVEN CLAUDE GOT 1363"))
# compare to reference
ref_mem = mem.copy()
for _ in problem.reference_kernel2(ref_mem, {}): pass
assert machine.mem[mem[6]:mem[6]+mem[2]] == ref_mem[mem[6]:mem[6]+mem[2]]
print("compare passed!")
-79
View File
@@ -1,79 +0,0 @@
from typing import Optional
from tinygrad import Tensor
from tinygrad.dtype import DTypeLike, dtypes
import math
# rewritten from numpy
def rfftfreq(n: int, d: float = 1.0, device=None) -> Tensor:
val = 1.0 / (n * d)
N = n // 2 + 1
results = Tensor.arange(N, device=device)
return results * val
# just like in librosa
def fft_frequencies(sr: float, n_fft: int) -> Tensor:
return rfftfreq(n=n_fft, d=1.0 / sr)
def hz_to_mel(freq: Tensor) -> Tensor:
# linear part
f_min = 0.0
f_sp = 200.0 / 3
mels = (freq - f_min) / f_sp
# log-scale part
min_log_hz = 1000.0 # beginning of log region (Hz)
mask = freq >= min_log_hz
return mask.where(((min_log_hz - f_min) / f_sp) + (freq / min_log_hz).log() / (math.log(6.4) / 27.0), mels)
def mel_to_hz(mels: Tensor) -> Tensor:
# linear scale
f_min = 0.0
f_sp = 200.0 / 3
freqs = f_min + f_sp * mels
# nonlinear scale
min_log_hz = 1000.0 # beginning of log region (Hz)
min_log_mel = (min_log_hz - f_min) / f_sp # same (Mels)
logstep = math.log(6.4) / 27.0 # step size for log region
log_t = mels >= min_log_mel
freqs = log_t.where(min_log_hz * ((logstep * (mels - min_log_mel)).exp()), freqs)
return freqs
def mel_frequencies(n_mels: int = 128, *, fmin: float = 0.0, fmax: float = 11025.0) -> Tensor:
# center freqs of mel bands - uniformly spaced between limits
min_max_mel = hz_to_mel(Tensor([fmin, fmax]))
mels = Tensor.linspace(min_max_mel[0], min_max_mel[1], n_mels)
hz = mel_to_hz(mels)
return hz
def mel(
*,
sr: float,
n_fft: int,
n_mels: int = 128,
fmin: float = 0.0,
fmax: Optional[float] = None,
dtype: DTypeLike = dtypes.default_float,
) -> Tensor:
if fmax is None:
fmax = float(sr) / 2
n_mels = int(n_mels)
fftfreqs = fft_frequencies(sr=sr, n_fft=n_fft) # center freqs of each FFT bin
mel_f = mel_frequencies(n_mels + 2, fmin=fmin, fmax=fmax) # center freqs of mel bands
fdiff = mel_f[1:] - mel_f[:-1]
ramps = mel_f[None].T.expand(-1, fftfreqs.shape[-1]) - fftfreqs
lower = -ramps[:n_mels] / fdiff[:n_mels][None].T
upper = ramps[2 : n_mels + 2] / fdiff[1 : n_mels + 1][None].T
weights = lower.minimum(upper).maximum(0)
# Slaney-style mel is scaled to be approx constant energy per channel
enorm = 2.0 / (mel_f[2 : n_mels + 2] - mel_f[:n_mels])
weights *= enorm[:, None]
return weights
+2 -2
View File
@@ -19,8 +19,8 @@ cifar_std = [0.24703225141799082, 0.24348516474564, 0.26158783926049628]
BS, STEPS = getenv("BS", 512), getenv("STEPS", 1000)
EVAL_BS = getenv("EVAL_BS", BS)
GPUS = [f'{Device.DEFAULT}:{i}' for i in range(getenv("GPUS", 1))]
assert BS % len(GPUS) == 0, f"{BS=} is not a multiple of {len(GPUS)=}"
assert EVAL_BS % len(GPUS) == 0, f"{EVAL_BS=} is not a multiple of {len(GPUS)=}"
assert BS % len(GPUS) == 0, f"{BS=} is not a multiple of {len(GPUS)=}, uneven multi GPU is slow"
assert EVAL_BS % len(GPUS) == 0, f"{EVAL_BS=} is not a multiple of {len(GPUS)=}, uneven multi GPU is slow"
class UnsyncedBatchNorm:
def __init__(self, sz:int, eps=1e-5, affine=True, track_running_stats=True, momentum=0.1, num_devices=len(GPUS)):
+23 -15
View File
@@ -65,7 +65,17 @@ def loader_process(q_in, q_out, X:Tensor, seed):
else:
# pad data with training mean
img = np.tile(np.array([[[123.68, 116.78, 103.94]]], dtype=np.uint8), (224, 224, 1))
X[idx].flatten().assign(img.tobytes())
# broken out
#img_tensor = Tensor(img.tobytes(), device='CPU')
#storage_tensor = X[idx].contiguous().realize().lazydata.base.realized
#storage_tensor._copyin(img_tensor.numpy())
# faster
X[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = img.tobytes()
# ideal
#X[idx].assign(img.tobytes()) # NOTE: this is slow!
q_out.put(idx)
q_out.put(None)
@@ -254,8 +264,8 @@ def load_unet3d_data(preprocessed_dataset_dir, seed, queue_in, queue_out, X:Tens
x = random_brightness_augmentation(x)
x = gaussian_noise(x)
X[idx].flatten().assign(x.tobytes())
Y[idx].flatten().assign(y.tobytes())
X[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = x.tobytes()
Y[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = y.tobytes()
queue_out.put(idx)
queue_out.put(None)
@@ -369,12 +379,12 @@ def load_retinanet_data(base_dir:Path, val:bool, queue_in:Queue, queue_out:Queue
clipped_match_idxs = np.clip(match_idxs, 0, None)
clipped_boxes, clipped_labels = tgt["boxes"][clipped_match_idxs], tgt["labels"][clipped_match_idxs]
boxes[idx].flatten().assign(clipped_boxes.tobytes())
labels[idx].flatten().assign(clipped_labels.tobytes())
matches[idx].flatten().assign(match_idxs.tobytes())
anchors[idx].flatten().assign(anchor.tobytes())
boxes[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = clipped_boxes.tobytes()
labels[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = clipped_labels.tobytes()
matches[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = match_idxs.tobytes()
anchors[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = anchor.tobytes()
imgs[idx].flatten().assign(img.tobytes())
imgs[idx].contiguous().realize().uop.base.realized.as_buffer(force_zero_copy=True)[:] = img.tobytes()
queue_out.put(idx)
queue_out.put(None)
@@ -396,7 +406,6 @@ def batch_load_retinanet(dataset, val:bool, base_dir:Path, batch_size:int=32, sh
queue_in.put((idx, img, tgt))
def _setup_shared_mem(shm_name:str, size:tuple[int, ...], dtype:dtypes) -> tuple[shared_memory.SharedMemory, Tensor]:
shm_name = f"{shm_name}_{os.getpid()}"
if os.path.exists(f"/dev/shm/{shm_name}"): os.unlink(f"/dev/shm/{shm_name}")
shm = shared_memory.SharedMemory(name=shm_name, create=True, size=prod(size))
shm_tensor = Tensor.empty(*size, dtype=dtype, device=f"disk:/dev/shm/{shm_name}")
@@ -543,7 +552,7 @@ class BinIdxDataset:
version, = struct.unpack("<Q", self.idx.read(8))
assert version == 1, "unsupported index version"
dtype_code, = struct.unpack("<B", self.idx.read(1))
self.dtype = {1:np.dtype(np.uint8), 2:np.dtype(np.int8), 3:np.dtype(np.int16), 4:np.dtype(np.int32), 5:np.dtype(np.int64), 6:np.dtype(np.float64), 7:np.dtype(np.double), 8:np.dtype(np.uint16)}[dtype_code]
self.dtype = {1:dtypes.uint8, 2:dtypes.int8, 3:dtypes.int16, 4:dtypes.int32, 5:dtypes.int64, 6:dtypes.float64, 7:dtypes.double, 8:dtypes.uint16}[dtype_code]
self.count, = struct.unpack("<Q", self.idx.read(8))
doc_count, = struct.unpack("<Q", self.idx.read(8))
@@ -560,7 +569,7 @@ class BinIdxDataset:
self.doc_idx = self.idx_t[start:end].bitcast(dtypes.int64).numpy()
# bin file
self.bin_t = Tensor(base_path.with_name(f"{base_path.name}.bin")).numpy()
self.bin_t = Tensor(base_path.with_name(f"{base_path.name}.bin"))
def _index(self, idx) -> tuple[int, int]:
return int(self.pointers[idx]), int(self.sizes[idx])
@@ -569,7 +578,7 @@ class BinIdxDataset:
ptr, size = self._index(idx)
if length is None: length = size - offset
ptr += offset * self.dtype.itemsize
return self.bin_t[ptr:ptr+length*self.dtype.itemsize].view(self.dtype)
return self.bin_t[ptr:ptr+length*self.dtype.itemsize].bitcast(self.dtype).to(None)
# https://docs.nvidia.com/megatron-core/developer-guide/latest/api-guide/datasets.html
class GPTDataset:
@@ -628,7 +637,7 @@ class GPTDataset:
sample_parts.append(self.indexed_dataset.get(int(self.doc_idx[i]), offset=int(offset), length=length))
# concat all parts
text = np.concatenate(sample_parts, axis=0)
text = Tensor.cat(*sample_parts)
return text
@@ -771,8 +780,7 @@ def get_llama3_dataset(samples:int, seqlen:int, base_dir:Path, seed:int=0, val:b
def iterate_llama3_dataset(dataset:BlendedGPTDataset, bs:int):
for b in range(math.ceil(dataset.samples / bs)):
batch = [dataset.get(b * bs + i) for i in range(bs)]
stacked = np.stack(batch, axis=0)
yield Tensor(stacked, device="NPY")
yield Tensor.stack(batch, dim=0)
def batch_load_llama3(bs:int, samples:int, seqlen:int, base_dir:Path, seed:int=0, val:bool=True, small:bool=False):
return iterate_llama3_dataset(get_llama3_dataset(samples, seqlen, base_dir, seed, val, small), bs)
+60 -150
View File
@@ -3,7 +3,7 @@ from pathlib import Path
import multiprocessing
from tinygrad import Device, GlobalCounters, Tensor, TinyJit, dtypes
from tinygrad.helpers import getenv, BEAM, WINO, round_up, diskcache_clear, Profiling, profile_marker, DEBUG
from tinygrad.helpers import getenv, BEAM, WINO, round_up, diskcache_clear, Profiling
from tinygrad.nn.state import get_parameters, get_state_dict, load_state_dict, safe_load, safe_save
from tinygrad.nn.optim import LAMB, LARS, SGD, OptimizerGroup, Adam, AdamW
@@ -1282,29 +1282,21 @@ def train_bert():
previous_step = i
def train_llama3():
from examples.mlperf.models.llama import Transformer
from extra.models.llama import Transformer
from examples.llama3 import MODEL_PARAMS
from examples.mlperf.lr_schedulers import CosineAnnealingLRWithWarmup
from examples.mlperf.optim import GradAccClipAdamW
BENCHMARK = getenv("BENCHMARK")
config = {}
BASEDIR = config["BASEDIR"] = Path(getenv("BASEDIR", "/raid/datasets/c4/"))
BS = config["BS"] = getenv("BS", 16)
grad_acc = config["GRADIENT_ACC_STEPS"] = getenv("GRADIENT_ACC_STEPS", 1)
assert grad_acc == 1, f"{grad_acc=} is not supported"
GBS = config["GLOBAL_BATCH_SIZE"] = BS * grad_acc
SEED = config["SEED"] = getenv("SEED", 5760)
DATA_SEED = config["DATA_SEED"] = getenv("DATA_SEED", SEED)
SEQLEN = config["SEQLEN"] = getenv("SEQLEN", 8192)
TRAIN_ON_VAL = config["TRAIN_ON_VAL"] = getenv("TRAIN_ON_VAL", 0)
SMALL = config["SMALL"] = getenv("SMALL", 0)
SAMPLES = config["SAMPLES"] = getenv("SAMPLES", 5_760 if TRAIN_ON_VAL else 1_200_000 * 1152)
EVAL_SAMPLES = config["EVAL_SAMPLES"] = getenv("EVAL_SAMPLES", 5760 if not SMALL else 1024)
MAX_STEPS = config["MAX_STEPS"] = getenv("MAX_STEPS", math.ceil(1_200_000 * 1152 / GBS))
WARMUP_STEPS = config["WARMUP_STEPS"] = getenv("WARMUP_STEPS", math.ceil(8000 * 1152 / GBS))
LR = config["LR"] = getenv("LR", 8e-5 * GBS / 1152)
END_LR = config["END_LR"] = getenv("END_LR", 8e-7)
EVAL_FREQ = config["EVAL_FREQ"] = getenv("EVAL_FREQ", 46080)
EVAL_BS = config["EVAL_BS"] = getenv("EVAL_BS", 16)
EVAL_TARGET = config["EVAL_TARGET"] = getenv("EVAL_TARGET", 5.6)
@@ -1318,12 +1310,10 @@ def train_llama3():
opt_adamw_weight_decay = 0.1
opt_gradient_clip_norm = 1.0
opt_learning_rate_warmup_steps = WARMUP_STEPS
opt_learning_rate_decay_steps = MAX_STEPS - opt_learning_rate_warmup_steps
opt_base_learning_rate = LR
opt_end_learning_rate = END_LR
Tensor.manual_seed(SEED) # seed for weight initialization
opt_learning_rate_warmup_steps = getenv("WARMUP_STEPS", math.ceil(8000 * 1152 / GBS))
opt_learning_rate_decay_steps = getenv("MAX_STEPS", math.ceil(1_200_000 * 1152 / GBS)) - opt_learning_rate_warmup_steps
opt_base_learning_rate = getenv("LR", 8e-5 * GBS / 1152) # NOTE: cannot change for benchmark
opt_end_learning_rate = getenv("END_LR", 8e-7)
# ** init wandb **
WANDB = getenv("WANDB")
@@ -1335,16 +1325,8 @@ def train_llama3():
model_params = MODEL_PARAMS[getenv("LLAMA3_SIZE", "8B")]["args"]
# vocab_size from the mixtral tokenizer
if not SMALL: model_params |= {"vocab_size": 32000}
real_vocab_size = model_params['vocab_size']
if (llama_layers:=getenv("LLAMA_LAYERS")) != 0: model_params['n_layers'] = llama_layers
print(f"model parameters: {model_params}")
# pad vocab
if (MP := getenv("MP", 1)) > 1: model_params['vocab_size'] = round_up(model_params['vocab_size'], 256 * MP)
vocab_mask:Tensor = Tensor.arange(model_params['vocab_size']).reshape(1, 1, -1) >= real_vocab_size
model = Transformer(**model_params, max_context=SEQLEN)
model = Transformer(**model_params, max_context=SEQLEN, jit=False, disable_kv_cache=True)
params = get_parameters(model)
# weights are all bfloat16 for now
assert params and all(p.dtype == dtypes.bfloat16 for p in params)
@@ -1358,8 +1340,6 @@ def train_llama3():
for v in get_parameters(model):
v.shard_(device, axis=None)
vocab_mask.shard_(device, axis=None)
if (MP := getenv("MP", 1)) > 1:
device = tuple(f"{Device.DEFAULT}:{i}" for i in range(MP))
for k,v in get_state_dict(model).items():
@@ -1367,7 +1347,6 @@ def train_llama3():
elif '.attention.wq' in k: v.shard_(device, axis=0)
elif '.attention.wk' in k: v.shard_(device, axis=0)
elif '.attention.wv' in k: v.shard_(device, axis=0)
elif '.attention.wqkv' in k: v.shard_(device, axis=0)
elif '.attention.wo' in k: v.shard_(device, axis=1)
elif '.feed_forward.w1.' in k: v.shard_(device, axis=0)
elif '.feed_forward.w2.' in k: v.shard_(device, axis=1)
@@ -1380,23 +1359,8 @@ def train_llama3():
# prevents memory spike on device 0
v.realize()
vocab_mask.shard_(device, axis=2).realize()
is_offload_optim = bool(getenv("OFFLOAD_OPTIM"))
is_fake_offload = Device.DEFAULT == "NULL"
optim_device = ("CPU" if not is_fake_offload else "NULL:99") if is_offload_optim else None
optim = GradAccClipAdamW(get_parameters(model), lr=0.0, b1=opt_adamw_beta_1, b2=opt_adamw_beta_2,
eps=opt_adamw_epsilon, weight_decay=opt_adamw_weight_decay, grad_acc=grad_acc, device=optim_device)
# init grads
if is_offload_optim:
for p in optim.params:
p.grad = Tensor.zeros(p.shape, dtype=p.dtype, device=optim_device, requires_grad=False).contiguous().realize()
else:
for p in optim.params:
p.grad = p.zeros_like().contiguous().realize()
grads: list[Tensor] = [p.grad for p in optim.params]
optim = AdamW(get_parameters(model), lr=0.0,
b1=opt_adamw_beta_1, b2=opt_adamw_beta_2, eps=opt_adamw_epsilon, weight_decay=opt_adamw_weight_decay)
scheduler = CosineAnnealingLRWithWarmup(optim, opt_base_learning_rate, opt_end_learning_rate, opt_learning_rate_warmup_steps, opt_learning_rate_decay_steps)
if resume_ckpt := getenv("RESUME_CKPT"):
@@ -1409,139 +1373,98 @@ def train_llama3():
load_state_dict(scheduler, safe_load(fn), realize=False)
@TinyJit
def minibatch(tokens:Tensor):
@Tensor.train()
def train_step(model, tokens:Tensor):
optim.zero_grad()
if (DP := getenv("DP", 1)) > 1:
device = tuple(f"{Device.DEFAULT}:{i}" for i in range(DP))
tokens = tokens.to(None).shard(device, 0)
tokens = tokens.shard(device, 0)
if (MP := getenv("MP", 1)) > 1:
device = tuple(f"{Device.DEFAULT}:{i}" for i in range(MP))
tokens = tokens.shard(device)
if DP == 1 and MP == 1: tokens = tokens.to(None)
logits:Tensor = model(tokens[:, :-1])
loss = vocab_mask.where(-1e9, logits).sparse_categorical_crossentropy(tokens[:, 1:])
logits:Tensor = model(tokens[:, :-1], start_pos=0, temperature=math.nan)
loss = logits.sparse_categorical_crossentropy(tokens[:, 1:])
loss.backward()
assert all(p.grad is g for p,g in zip(optim.params, grads))
loss_cpu = loss.flatten().float().to("CPU")
Tensor.realize(loss_cpu, *grads)
return loss_cpu
# L2 norm grad clip
# https://github.com/NVIDIA/NeMo/blob/3368c3fc0b4a186ab33a1d68a504315100c0b2a6/nemo/collections/nlp/modules/common/megatron/clip_grads.py#L57
# https://docs.pytorch.org/docs/stable/generated/torch.nn.utils.clip_grad_norm_.html
if not getenv("DISABLE_GRAD_CLIP_NORM"):
total_norm = Tensor(0.0, dtype=dtypes.float32, device=optim.params[0].device)
for p in optim.params:
total_norm += p.grad.float().square().sum()
total_norm = total_norm.sqrt().contiguous()
for p in optim.params:
p.grad = p.grad * (opt_gradient_clip_norm / (total_norm + 1e-6)).clamp(max_=1.0)
@TinyJit
def optim_step():
grad_norm = optim.fstep(grads)
optim.step()
scheduler.step()
for g in grads:
g.assign(g.zeros_like())
lr_cpu = optim.lr.float().to("CPU")
grad_norm_cpu = grad_norm.float().to("CPU")
Tensor.realize(lr_cpu, grad_norm_cpu, *grads)
return lr_cpu, grad_norm_cpu
lr = optim.lr
loss.realize(lr)
return loss, lr
@TinyJit
@Tensor.train(False)
def eval_step(tokens:Tensor):
def eval_step(model, tokens:Tensor):
if (DP := getenv("DP", 1)) > 1:
device = tuple(f"{Device.DEFAULT}:{i}" for i in range(DP))
tokens = tokens.to(None).shard(device, 0)
tokens = tokens.shard(device, 0)
if (MP := getenv("MP", 1)) > 1:
device = tuple(f"{Device.DEFAULT}:{i}" for i in range(MP))
tokens = tokens.shard(device)
if DP == 1 and MP == 1: tokens = tokens.to(None)
logits:Tensor = model(tokens[:, :-1])
loss = vocab_mask.where(-1e9, logits).sparse_categorical_crossentropy(tokens[:, 1:])
return loss.flatten().float().to("CPU")
logits:Tensor = model(tokens[:, :-1], start_pos=0, temperature=math.nan)
loss = logits.sparse_categorical_crossentropy(tokens[:, 1:])
return loss.flatten().float()
# ** data iters **
def fake_data(bs, samples):
import numpy as np
for _ in range(samples // bs):
fake_data_np = np.random.randint(0, model_params["vocab_size"], size=(bs, SEQLEN + 1), dtype=np.int32)
yield Tensor(fake_data_np, device="NPY")
yield Tensor.randint(bs, SEQLEN + 1, low=0, high=model_params["vocab_size"], dtype=dtypes.int32, device=Device.DEFAULT)
def get_train_iter():
if getenv("FAKEDATA", 0):
return fake_data(BS, SAMPLES)
else:
from examples.mlperf.dataloader import batch_load_llama3
return batch_load_llama3(BS, SAMPLES, SEQLEN, BASEDIR, seed=DATA_SEED, val=bool(TRAIN_ON_VAL), small=bool(SMALL))
return batch_load_llama3(BS, SAMPLES, SEQLEN, BASEDIR, seed=SEED, val=bool(TRAIN_ON_VAL), small=bool(SMALL))
if getenv("FAKEDATA", 0):
eval_dataset = None
else:
from examples.mlperf.dataloader import get_llama3_dataset
eval_dataset = get_llama3_dataset(EVAL_SAMPLES, SEQLEN, BASEDIR, val=True, small=bool(SMALL))
eval_dataset = get_llama3_dataset(5760, SEQLEN, BASEDIR, val=True, small=bool(SMALL))
def get_eval_iter():
if eval_dataset is None:
return fake_data(EVAL_BS, EVAL_SAMPLES)
return fake_data(EVAL_BS, 5760)
from examples.mlperf.dataloader import iterate_llama3_dataset
return iterate_llama3_dataset(eval_dataset, EVAL_BS)
num_params = sum(p.numel() for p in params) - model_params["vocab_size"]*model_params["dim"]
train_iter = get_train_iter()
iter = get_train_iter()
i, sequences_seen = resume_ckpt, 0
step_times = []
while i < MAX_STEPS:
for tokens in tqdm(iter, total=SAMPLES//GBS):
GlobalCounters.reset()
actual_gbs = GBS if i >= 2 else BS
if getenv("TRAIN", 1):
profile_marker(f"train @ {i}")
st = time.perf_counter()
stopped = False
losses, data_time, dev_time = [], 0, 0
for _ in range(grad_acc if i >= 2 else 1):
ist = time.perf_counter()
try: tokens = next(train_iter)
except StopIteration:
stopped = True
break
mst = time.perf_counter()
data_time += mst - ist
losses.append(minibatch(tokens).item())
dev_time += time.perf_counter() - mst
if stopped: break
gt = time.perf_counter()
ret = optim_step()
lr, grad_norm = ret[0].item(), ret[1].item()
et = time.perf_counter()
loss = sum(losses) / len(losses)
optim_time = et - gt
dev_time += optim_time
step_time = et - st
gbs_time = gt - st
if BENCHMARK: step_times.append(step_time)
t = time.perf_counter()
loss, lr = train_step(model, tokens)
loss = loss.float().item()
lr = lr.item()
i += 1
sequences_seen += actual_gbs
sequences_seen += tokens.shape[0]
sec = time.perf_counter()-t
mem_gb = GlobalCounters.mem_used / 1e9
gflops = GlobalCounters.global_ops / 1e9 / dev_time
mfu = ((6 * num_params * SEQLEN * GBS) / (dev_time * max(getenv("DP", 1), getenv("MP", 1)) * 2.3e15)) * 100
gflops = GlobalCounters.global_ops / 1e9 / sec
tqdm.write(
f"{i:5} {step_time:.3f} s step, {gbs_time:.3f} s gbs, {optim_time:.3f} s optim, {data_time:.3f} s data, {loss:.4f} loss, " \
f"{lr:.12f} LR, {grad_norm:.6f} grad_norm, {mem_gb:.2f} GB used, {gflops:9.2f} GFLOPS, {mfu:5.2f}% MFU")
if DEBUG >= 1: tqdm.write(" mem per device: " + ', '.join(f"{dev}: {mem/1e9:.2f} GB" for dev, mem in sorted(GlobalCounters.mem_used_per_device.items())))
f"{i:5} {sec:.2f} s run, {loss:.4f} loss, {lr:.12f} LR, {mem_gb:.2f} GB used, {gflops:9.2f} GFLOPS")
if (fname:=getenv("LOSS_FILE", "")):
with open(fname, "a") as f:
f.write(f"{i} {loss:.4f} {lr:.12f} {mem_gb:.2f}\n")
if WANDB:
wandb.log({
"train/loss": loss,
"train/lr": lr,
"train/grad_norm": grad_norm,
"train/step_time": step_time,
"train/gbs_time": gbs_time,
"train/optim_time": optim_time,
"train/dev_time": dev_time,
"train/data_time": data_time,
"train/mem": mem_gb,
"train/GFLOPS": gflops,
"train/MFU": mfu,
"train/sequences_seen": sequences_seen
})
wandb.log({"lr": lr, "train/loss": loss, "train/step_time": sec, "train/GFLOPS": gflops, "train/sequences_seen": sequences_seen})
if (ckpt_freq := getenv("CKPT")) and (i % ckpt_freq == 0 and (i != 1 or ckpt_freq == 1)):
tqdm.write("saving checkpoint")
@@ -1553,29 +1476,16 @@ def train_llama3():
fn = f"{ckpt_dir}/llama3_{i}_optim.safe"
safe_save(get_state_dict(scheduler), fn)
if i == BENCHMARK:
median_step_time = sorted(step_times)[(BENCHMARK + 1) // 2]
estimated_total_minutes = int(median_step_time * (SAMPLES // GBS) / 60)
print(f"Estimated training time: {estimated_total_minutes // 60}h{estimated_total_minutes % 60}m")
print(f"epoch global_ops: {GlobalCounters.global_ops:_}, "
f"epoch global_mem: {GlobalCounters.global_mem:_}")
if (sequences_seen // EVAL_FREQ != (sequences_seen - actual_gbs) // EVAL_FREQ and (i != 1 or EVAL_FREQ == 1)) or (BENCHMARK and i == BENCHMARK):
if EVAL_BS == 0: return
if sequences_seen % EVAL_FREQ == 0 and (i != 1 or EVAL_FREQ == 1):
tqdm.write(f"evaluating after {sequences_seen} sequences")
profile_marker(f"eval @ {i}")
# run eval
eval_losses = []
eval_iter = get_eval_iter()
tqdm.write(f"evaluating {EVAL_SAMPLES//EVAL_BS} batches of {EVAL_BS} sequences")
for j,tokens in tqdm(enumerate(eval_iter), total=EVAL_SAMPLES//EVAL_BS):
eval_losses += eval_step(tokens).tolist()
if BENCHMARK and (j+1) == min(BENCHMARK, EVAL_SAMPLES//EVAL_BS):
return
tqdm.write(f"evaluating {5760//EVAL_BS} batches of {EVAL_BS} sequences")
for tokens in tqdm(eval_iter, total=5760//EVAL_BS):
eval_losses += eval_step(model, tokens).tolist()
log_perplexity = Tensor(eval_losses).mean().float().item()
tqdm.write(f"eval log perplexity: {log_perplexity:.4f}")
@@ -1661,7 +1571,7 @@ def train_stable_diffusion():
loss, out_lr = loss.detach().to("CPU"), optimizer.lr.to("CPU")
Tensor.realize(loss, out_lr)
return loss, out_lr
# checkpointing takes ~9 minutes without this, and ~1 minute with this
@TinyJit
def ckpt_to_cpu():
@@ -1700,7 +1610,7 @@ def train_stable_diffusion():
if i == 3:
for _ in range(3): ckpt_to_cpu() # do this at the beginning of run to prevent OOM surprises when checkpointing
print("BEAM COMPLETE", flush=True) # allows wrapper script to detect BEAM search completion and retry if it failed
total_train_time = time.perf_counter() - train_start_time
if WANDB:
wandb.log({"train/loss": loss_item, "train/lr": lr_item, "train/loop_time_prev": loop_time, "train/dl_time": dl_time, "train/step": i,
-80
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@@ -1,80 +0,0 @@
from tinygrad import Tensor, nn
from tinygrad.helpers import getenv
from extra.models.llama import apply_rotary_emb, precompute_freqs_cis
class Attention:
def __init__(self, dim:int, n_heads:int, n_kv_heads:int|None=None, linear=nn.Linear):
self.n_heads = n_heads
self.n_kv_heads = n_kv_heads if n_kv_heads is not None else n_heads # n_kv_heads != n_heads implies MQA [arxiv/2307.09288, A.2.1]
self.head_dim = dim // n_heads
self.n_rep = self.n_heads // self.n_kv_heads
if getenv("WQKV"):
self.wqkv = linear(dim, self.n_heads * self.head_dim + self.n_kv_heads * self.head_dim * 2, bias=False)
else:
self.wq = linear(dim, self.n_heads * self.head_dim, bias=False)
self.wk = linear(dim, self.n_kv_heads * self.head_dim, bias=False)
self.wv = linear(dim, self.n_kv_heads * self.head_dim, bias=False)
self.wo = linear(self.n_heads * self.head_dim, dim, bias=False)
def __call__(self, x:Tensor, freqs_cis:Tensor) -> Tensor:
if getenv("WQKV"):
xqkv = self.wqkv(x)
xqkv = xqkv.reshape(xqkv.shape[0], xqkv.shape[1], self.n_kv_heads, self.n_rep + 2, self.head_dim)
xq = xqkv[:, :, :, :self.n_rep].reshape(xqkv.shape[0], xqkv.shape[1], -1)
xk = xqkv[:, :, :, self.n_rep:self.n_rep+1].reshape(xqkv.shape[0], xqkv.shape[1], -1)
xv = xqkv[:, :, :, self.n_rep+1:self.n_rep+2].reshape(xqkv.shape[0], xqkv.shape[1], -1)
else:
xq, xk, xv = self.wq(x), self.wk(x), self.wv(x)
xq = xq.reshape(xq.shape[0], xq.shape[1], self.n_heads, self.head_dim)
xk = xk.reshape(xk.shape[0], xk.shape[1], self.n_kv_heads, self.head_dim)
xv = xv.reshape(xv.shape[0], xv.shape[1], self.n_kv_heads, self.head_dim)
xq, xk = apply_rotary_emb(xq, xk, freqs_cis)
bsz, seqlen, _, _ = xq.shape
xq, xk, xv = xq.transpose(1, 2), xk.transpose(1, 2), xv.transpose(1, 2)
attn = xq.scaled_dot_product_attention(xk, xv, is_causal=True, enable_gqa=True).transpose(1, 2)
attn = attn.reshape(bsz, seqlen, -1)
return self.wo(attn)
class FeedForward:
def __init__(self, dim:int, hidden_dim:int, linear=nn.Linear):
self.w1 = linear(dim, hidden_dim, bias=False)
self.w2 = linear(hidden_dim, dim, bias=False)
self.w3 = linear(dim, hidden_dim, bias=False) # the gate in Gated Linear Unit
def __call__(self, x:Tensor) -> Tensor:
w1 = self.w1(x).silu()
w3 = self.w3(x)
return self.w2(w1 * w3)
class TransformerBlock:
def __init__(self, dim:int, hidden_dim:int, n_heads:int, n_kv_heads:int|None, norm_eps:float, linear=nn.Linear):
self.attention = Attention(dim, n_heads, n_kv_heads, linear)
self.feed_forward = FeedForward(dim, hidden_dim, linear)
self.attention_norm = nn.RMSNorm(dim, norm_eps)
self.ffn_norm = nn.RMSNorm(dim, norm_eps)
def __call__(self, x:Tensor, freqs_cis:Tensor):
h = x + self.attention(self.attention_norm(x), freqs_cis)
return h + self.feed_forward(self.ffn_norm(h))
class Transformer:
def __init__(self, dim:int, hidden_dim:int, n_heads:int, n_layers:int, norm_eps:float, vocab_size:int, n_kv_heads:int|None=None,
rope_theta:int=10000, max_context:int=1024, linear=nn.Linear, embedding=nn.Embedding):
self.layers = [TransformerBlock(dim, hidden_dim, n_heads, n_kv_heads, norm_eps, linear) for _ in range(n_layers)]
self.norm = nn.RMSNorm(dim, norm_eps)
self.tok_embeddings = embedding(vocab_size, dim)
self.output = nn.Linear(dim, vocab_size, bias=False) if embedding == nn.Embedding else linear(dim, vocab_size, bias=False)
self.freqs_cis = precompute_freqs_cis(dim // n_heads, max_context * 2, rope_theta).contiguous().requires_grad_(False)
def __call__(self, tokens:Tensor):
h = self.tok_embeddings(tokens)
freqs_cis = self.freqs_cis.cast(h.dtype)[:, :tokens.shape[1], :, :, :]
for layer in self.layers: h = layer(h, freqs_cis)
logits = self.output(self.norm(h))
return logits
-57
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@@ -1,57 +0,0 @@
from tinygrad.tensor import Tensor
from tinygrad.dtype import dtypes
from tinygrad.nn.optim import Optimizer
from tinygrad.helpers import FUSE_OPTIM
class GradAccClipAdamW(Optimizer):
def __init__(self, params:list[Tensor], lr=0.001, b1=0.9, b2=0.999, eps=1e-6, weight_decay=0.0, grad_acc=1, clip_norm=1.0, device=None, fused=FUSE_OPTIM):
super().__init__(params, lr, device, fused)
self.b1, self.b2, self.eps, self.wd = b1, b2, eps, weight_decay
self.b1_t, self.b2_t = (Tensor.ones((1,), dtype=dtypes.float32, device=self.device, requires_grad=False) for _ in [b1, b2])
self.m = self._new_optim_param()
self.v = self._new_optim_param()
self.grad_acc, self.clip_norm = grad_acc, clip_norm
def fstep(self, grads:list[Tensor]):
if self.fused:
out, extra = self._step([], grads)
updates = [out[0][self.pos_params[i]:self.pos_params[i+1]].reshape(tt.shape) for i, tt in enumerate(self.params)]
else:
updates, extra = self._step([], grads)
for i, tt in enumerate(self.params): tt.assign(self._apply_update(tt, updates[i]))
to_realize = extra+self.params+self.buffers
Tensor.realize(*to_realize)
return extra[-1]
def _step(self, params:list[Tensor], grads:list[Tensor]) -> tuple[list[Tensor], list[Tensor]]:
for i in range(len(grads)):
if grads[i].device != self.m[i].device: grads[i].assign(grads[i].to(self.m[i].device))
if self.fused:
grads[0].assign(grads[0] / self.grad_acc)
total_norm = grads[0].float().square().sum().sqrt()
grads[0].assign((grads[0] * (self.clip_norm / (total_norm + 1e-6)).clamp(max_=1.0)).cast(grads[0].dtype))
else:
for i in range(len(grads)):
grads[i].assign(grads[i] / self.grad_acc)
total_norm = Tensor.stack(*[g.float().square().sum() for g in grads]).sum().sqrt().contiguous()
for i in range(len(grads)):
grads[i].assign((grads[i] * (self.clip_norm / (total_norm + 1e-6)).clamp(max_=1.0)).cast(grads[i].dtype))
ret = []
self.b1_t *= self.b1
self.b2_t *= self.b2
for i, g in enumerate(grads):
self.m[i].assign((self.b1 * self.m[i] + (1.0 - self.b1) * g).cast(self.m[i].dtype))
self.v[i].assign((self.b2 * self.v[i] + (1.0 - self.b2) * (g * g)).cast(self.v[i].dtype))
m_hat = (self.m[i] / (1.0 - self.b1_t)).cast(self.m[i].dtype)
v_hat = (self.v[i] / (1.0 - self.b2_t)).cast(self.v[i].dtype)
up = m_hat / (v_hat.sqrt() + self.eps)
ret.append((self.lr * up).cast(g.dtype))
return ret, [self.b1_t, self.b2_t] + self.m + self.v + [total_norm]
def _apply_update(self, t:Tensor, up:Tensor) -> Tensor:
wd = self.wd if t.ndim >= 2 else 0.0
up = up.shard_like(t) + self.lr.to(t.device) * wd * t.detach()
return t.detach() - up.cast(t.dtype)
@@ -4,7 +4,7 @@ export PYTHONPATH="." AMD=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" GPUS=1 BS=128 EVAL_BS=128
export CHECK_OOB=0
export IGNORE_OOB=1
export BEAM=3 BEAM_UOPS_MAX=4000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
export IGNORE_JIT_FIRST_BEAM=1
@@ -5,7 +5,7 @@ export MODEL="bert"
export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -8,7 +8,7 @@ export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -11,7 +11,7 @@ export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -8,7 +8,7 @@ export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=5000000
export BEAM=0 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -8,7 +8,7 @@ export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=5000000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -11,7 +11,7 @@ export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=5000000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -4,7 +4,7 @@ export PYTHONPATH="." NV=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=72 EVAL_BS=72
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=8 BEAM_UOPS_MAX=10000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -4,7 +4,7 @@ export PYTHONPATH="." NV=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=72 EVAL_BS=72
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=8 BEAM_UOPS_MAX=10000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -7,7 +7,7 @@ export MODEL="bert"
export SUBMISSION_PLATFORM="tinybox_green"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=72 EVAL_BS=72
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=8 BEAM_UOPS_MAX=10000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -4,7 +4,7 @@ export PYTHONPATH="." AMD=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=96 EVAL_BS=96
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=5 BEAM_UOPS_MAX=8000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -4,7 +4,7 @@ export PYTHONPATH="." AMD=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=96 EVAL_BS=96
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=5 BEAM_UOPS_MAX=8000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -7,7 +7,7 @@ export MODEL="bert"
export SUBMISSION_PLATFORM="tinybox_red"
export DEFAULT_FLOAT="HALF" SUM_DTYPE="HALF" GPUS=6 BS=96 EVAL_BS=96
export CHECK_OOB=0
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=500000
export BEAM=5 BEAM_UOPS_MAX=8000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
@@ -1,37 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEBUG=${DEBUG:-2}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-0}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-1}
export OFFLOAD_OPTIM=${OFFLOAD_OPTIM:-1}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-1} MP=${MP:-8}
export BS=${BS:-1} EVAL_BS=${EVAL_BS:-1} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-2}
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4/"
export LLAMA3_SIZE=${LLAMA3_SIZE:-"405B"}
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-5760}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
export FAKEDATA=1 BENCHMARK=10
if [ -z "$FULL_LAYERS" ]; then
export LLAMA_LAYERS=2
fi
python3 examples/mlperf/model_train.py
@@ -1,32 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEBUG=${DEBUG:-0}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-0}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-1}
export OFFLOAD_OPTIM=${OFFLOAD_OPTIM:-1}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-1} MP=${MP:-8}
export BS=${BS:-1} EVAL_BS=${EVAL_BS:-1} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-1152}
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4/"
export LLAMA3_SIZE=${LLAMA3_SIZE:-"405B"}
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-$RANDOM}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
python3 examples/mlperf/model_train.py
@@ -1,42 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEVICE_IN_FUNCTION_BUG=1
export DEBUG=${DEBUG:-2}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-1}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-0}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-8} MP=${MP:-1} BS=${BS:-8} EVAL_BS=${EVAL_BS:-8} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-2}
export GBS=$((BS * GRADIENT_ACC_STEPS))
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4-8b/"
export SMALL=1
export LLAMA3_SIZE=${LLAMA3_SIZE:-"8B"}
export EVAL_TARGET=3.3 EVAL_FREQ=12288
export LR="1e-3" END_LR="1e-4" WARMUP_SAMPLES=4096 MAX_STEPS=1200000
export WARMUP_STEPS=$((WARMUP_SAMPLES / GBS))
export SAMPLES=$((MAX_STEPS * GBS))
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-5760}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
export FAKEDATA=1 BENCHMARK=10
if [ -z "$FULL_LAYERS" ]; then
export LLAMA_LAYERS=2
fi
python3 examples/mlperf/model_train.py
@@ -1,43 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEVICE_IN_FUNCTION_BUG=1
export DEBUG=${DEBUG:-2}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-0}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-1}
export OFFLOAD_OPTIM=${OFFLOAD_OPTIM:-1}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-1} MP=${MP:-8} BS=${BS:-1} EVAL_BS=${EVAL_BS:-1} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-2}
export GBS=$((BS * GRADIENT_ACC_STEPS))
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4-8b/"
export SMALL=1
export LLAMA3_SIZE=${LLAMA3_SIZE:-"8B"}
export EVAL_TARGET=3.3 EVAL_FREQ=12288
export LR="1e-3" END_LR="1e-4" WARMUP_SAMPLES=4096 MAX_STEPS=1200000
export WARMUP_STEPS=$((WARMUP_SAMPLES / GBS))
export SAMPLES=$((MAX_STEPS * GBS))
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-5760}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
export FAKEDATA=1 BENCHMARK=10
if [ -z "$FULL_LAYERS" ]; then
export LLAMA_LAYERS=2
fi
python3 examples/mlperf/model_train.py
@@ -1,37 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEVICE_IN_FUNCTION_BUG=1
export DEBUG=${DEBUG:-0}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-1}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-0}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-8} MP=${MP:-1} BS=${BS:-8} EVAL_BS=${EVAL_BS:-8} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-4}
export GBS=$((BS * GRADIENT_ACC_STEPS))
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4-8b/"
export SMALL=1
export LLAMA3_SIZE=${LLAMA3_SIZE:-"8B"}
export EVAL_TARGET=3.3 EVAL_FREQ=12288
export LR="1e-3" END_LR="1e-4" WARMUP_SAMPLES=4096 MAX_STEPS=1200000
export WARMUP_STEPS=$((WARMUP_SAMPLES / GBS))
export SAMPLES=$((MAX_STEPS * GBS))
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-$RANDOM}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
python3 examples/mlperf/model_train.py
@@ -1,38 +0,0 @@
#!/usr/bin/env bash
export PYTHONPATH="."
export DEV=${DEV:-AMD}
export EMULATE="AMD_CDNA4"
export CHECK_OOB=0
export REWRITE_STACK_LIMIT=5000000 HCQDEV_WAIT_TIMEOUT_MS=240000
export DEVICE_IN_FUNCTION_BUG=1
export DEBUG=${DEBUG:-0}
export HK_FLASH_ATTENTION=${HK_FLASH_ATTENTION:-1}
export ALL2ALL=${ALL2ALL:-1}
export USE_ATOMICS=${USE_ATOMICS:-0}
export ASM_GEMM=${ASM_GEMM:-1}
export WQKV=${WQKV:-1}
export OFFLOAD_OPTIM=${OFFLOAD_OPTIM:-1}
export DEFAULT_FLOAT="bfloat16" OPTIM_DTYPE="bfloat16"
export DP=${DP:-1} MP=${MP:-8} BS=${BS:-1} EVAL_BS=${EVAL_BS:-1} GRADIENT_ACC_STEPS=${GRADIENT_ACC_STEPS:-32}
export GBS=$((BS * GRADIENT_ACC_STEPS))
export MODEL="llama3"
export BASEDIR="/raid/datasets/c4-8b/"
export SMALL=1
export LLAMA3_SIZE=${LLAMA3_SIZE:-"8B"}
export EVAL_TARGET=3.3 EVAL_FREQ=12288
export LR="1e-3" END_LR="1e-4" WARMUP_SAMPLES=4096 MAX_STEPS=1200000
export WARMUP_STEPS=$((WARMUP_SAMPLES / GBS))
export SAMPLES=$((MAX_STEPS * GBS))
export SEQLEN=${SEQLEN:-8192}
export SEED=${SEED:-$RANDOM}
export DATA_SEED=${DATA_SEED:-5760}
export JITBEAM=${JITBEAM:-3}
export BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5 BEAM_PADTO=1
python3 examples/mlperf/model_train.py
@@ -1,6 +0,0 @@
#!/bin/bash
export BENCHMARK=5
export EVAL_BS=0
export VIZ=${VIZ:--1}
examples/mlperf/training_submission_v6.0/tinycorp/benchmarks/llama8b/implementations/tinybox_8xMI350X/dev_run.sh
extra/viz/cli.py --profile --device "AMD" --top 20
@@ -1,10 +0,0 @@
#!/bin/bash
export BENCHMARK=5
export EVAL_BS=0
export FAKEDATA=1
export NULL_ALLOW_COPYOUT=1
export HIP_VISIBLE_DEVICES=""
export DEV=NULL
export JITBEAM=0
export LLAMA_LAYERS=${LLAMA_LAYERS:-"2"}
time examples/mlperf/training_submission_v6.0/tinycorp/benchmarks/llama8b/implementations/tinybox_8xMI350X/dev_run.sh
+1 -1
View File
@@ -31,7 +31,7 @@ def compile(onnx_file):
for i in range(3):
GlobalCounters.reset()
print(f"run {i}")
with Context(DEBUG=max(DEBUG.value, 2 if i == 2 else 1), OPENPILOT_HACKS=1):
with Context(DEBUG=max(DEBUG.value, 2 if i == 2 else 1)):
ret = run_onnx_jit(**inputs).numpy()
# copy i == 1 so use of JITBEAM is okay
if i == 1: test_val = np.copy(ret)
-16
View File
@@ -1,16 +0,0 @@
import sys, pickle
from extra.bench_log import WallTimeEvent, BenchEvent
from tinygrad.helpers import getenv
PKL = sys.argv[1] if len(sys.argv) > 1 else "/tmp/openpilot.pkl"
load_times = []
for _ in range(10):
with WallTimeEvent(BenchEvent.STEP) as wte: pickle.load(open(PKL, 'rb'))
load_times.append(wte.time)
print(f"pickle load: {wte.time:6.2f} s")
if (assert_time:=getenv("ASSERT_MIN_LOAD_TIME")):
min_time = min(load_times)
assert min_time < assert_time, f"Speed regression, expected min load time of < {assert_time} s but took: {min_time} s"
+1 -1
View File
@@ -6,6 +6,7 @@ import argparse, time
from collections import namedtuple
from typing import Dict, Any
from PIL import Image
import numpy as np
from tinygrad import Device, GlobalCounters, dtypes, Tensor, TinyJit
from tinygrad.helpers import Timing, Context, getenv, fetch, colored, tqdm, flatten, profile_marker
@@ -335,7 +336,6 @@ if __name__ == "__main__":
print(x.shape)
profile_marker("save image")
from PIL import Image
im = Image.fromarray(x.numpy())
print(f"saving {args.out}")
im.save(args.out)
@@ -48,7 +48,7 @@ def prepare_browser_chunks(model):
weight_metadata = metadata.get(name, default)
weight_metadata["parts"][part_num] = {"file": i, "file_start_pos": cursor, "size": size}
metadata[name] = weight_metadata
data = bytes(state_dict[name].uop.base.realized.as_memoryview())
data = bytes(state_dict[name].uop.base.realized.as_buffer())
data = data if not offsets else data[offsets[0]:offsets[1]]
writer.write(data)
cursor += size
+1 -1
View File
@@ -93,7 +93,7 @@ if __name__ == "__main__":
forward: Any = None
sub_steps = [
Step(name = "textModel", input = [Tensor.randint(1, 77, low=0, high=49408, dtype=dtypes.int32)], forward = model.cond_stage_model.transformer.text_model),
Step(name = "textModel", input = [Tensor.randn(1, 77)], forward = model.cond_stage_model.transformer.text_model),
Step(name = "diffusor", input = [Tensor.randn(1, 77, 768), Tensor.randn(1, 77, 768), Tensor.randn(1,4,64,64), Tensor.rand(1), Tensor.randn(1), Tensor.randn(1), Tensor.randn(1)], forward = model),
Step(name = "decoder", input = [Tensor.randn(1,4,64,64)], forward = model.decode),
Step(name = "f16tof32", input = [Tensor.randn(2097120, dtype=dtypes.uint32)], forward = u32_to_f16)
+1 -2
View File
@@ -7,7 +7,6 @@ from tinygrad import Tensor, TinyJit, Variable, nn, dtypes
from tinygrad.nn.state import torch_load, load_state_dict
from tinygrad.helpers import getenv, fetch
from examples.audio_helpers import mel
import numpy as np
import librosa
@@ -160,7 +159,7 @@ def prep_audio(waveforms: List[np.ndarray], batch_size: int, truncate=False) ->
stft = librosa.stft(waveforms, n_fft=N_FFT, hop_length=HOP_LENGTH, window='hann', dtype=np.csingle)
magnitudes = np.absolute(stft[..., :-1]) ** 2
mel_spec = mel(sr=RATE, n_fft=N_FFT, n_mels=N_MELS).numpy() @ magnitudes
mel_spec = librosa.filters.mel(sr=RATE, n_fft=N_FFT, n_mels=N_MELS) @ magnitudes
log_spec = np.log10(np.clip(mel_spec, 1e-10, None))
log_spec = np.maximum(log_spec, log_spec.max((1,2), keepdims=True) - 8.0)
+9 -9
View File
@@ -65,7 +65,7 @@ def get_bar0_size(pcibus):
class AMSMI(AMDev):
def __init__(self, pcibus, vram_bar:MMIOInterface, doorbell_bar:MMIOInterface, mmio_bar:MMIOInterface):
self.pcibus = pcibus
self.vram, self.doorbell64, self.mmio = vram_bar, doorbell_bar, mmio_bar
self.vram, self.doorbell64, self.mmio, self.dma_regions = vram_bar, doorbell_bar, mmio_bar, None
self.pci_state = self.read_pci_state()
if self.pci_state == "D0": self._init_from_d0()
@@ -92,7 +92,7 @@ class SMICtx:
self.prev_terminal_width = 0
self.prev_terminal_height = 0
remove_parts = ["Advanced Micro Devices, Inc. [AMD/ATI]", "VGA compatible controller:", "Processing accelerators:"]
remove_parts = ["Advanced Micro Devices, Inc. [AMD/ATI]", "VGA compatible controller:"]
lspci = subprocess.check_output(["lspci"]).decode("utf-8").splitlines()
self.lspci = {l.split()[0]: l.split(" ", 1)[1] for l in lspci}
for k,v in self.lspci.items():
@@ -153,8 +153,7 @@ class SMICtx:
tables = {}
for dev in self.devs:
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): table_t = dev.smu.smu_mod.MetricsTableV0_t
case (13,0,12): table_t = dev.smu.smu_mod.MetricsTable_t
case (13,0,6)|(13,0,12): table_t = dev.smu.smu_mod.MetricsTableX_t
case _: table_t = dev.smu.smu_mod.SmuMetricsExternal_t
tables[dev] = dev.smu.read_table(table_t, dev.smu.smu_mod.SMU_TABLE_SMU_METRICS) if dev.pci_state == "D0" else None
return tables
@@ -231,11 +230,12 @@ class SMICtx:
def get_power(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return self._smuq10_round(metrics.SocketPower), self._smuq10_round(metrics.MaxSocketPowerLimit)
case (13,0,12): return self._smuq10_round(metrics.SocketPower), self._smuq10_round(metrics.SocketPowerLimit)
case (13,0,6)|(13,0,12): return self._smuq10_round(metrics.SocketPower), self._smuq10_round(metrics.MaxSocketPowerLimit)
case _: return metrics.SmuMetrics.AverageSocketPower, metrics.SmuMetrics.dGPU_W_MAX
def get_mem_usage(self, dev):
return 0
usage = 0
pt_stack = [dev.mm.root_page_table]
while len(pt_stack) > 0:
@@ -244,8 +244,8 @@ class SMICtx:
entry = pt.entries[i]
if (entry & am.AMDGPU_PTE_VALID) == 0: continue
if pt.lv < am.AMDGPU_VM_PDB0 and not dev.gmc.is_pte_huge_page(pt.lv, entry):
pt_stack.append(AMPageTableEntry(dev, dev.xgmi2paddr(entry & 0x0000FFFFFFFFF000), lv=pt.lv+1))
if pt.lv!=am.AMDGPU_VM_PTB and not dev.gmc.is_pte_huge_page(pt.lv, entry):
pt_stack.append(AMPageTableEntry(dev, entry & 0x0000FFFFFFFFF000, lv=pt.lv+1))
continue
if (entry & am.AMDGPU_PTE_SYSTEM) != 0: continue
usage += (1 << ((9 * (3-pt.lv)) + 12))
@@ -279,7 +279,7 @@ class SMICtx:
device_line = [f"{bold(dev.pcibus)} {trim(self.lspci[dev.pcibus[5:]], col_size - 20)}"] + [pad("", col_size)]
activity_line = [f"GFX Activity {draw_bar(self.get_gfx_activity(dev, metrics) / 100, activity_line_width)}"] \
+ [f"MEM Activity {draw_bar(self.get_mem_activity(dev, metrics) / 100, activity_line_width)}"] \
+ [f"MEM Usage {draw_bar(mem_used / mem_total, activity_line_width, opt_text=mem_fmt)}"] \
+ [f"MEM Usage {draw_bar((mem_used / mem_total) / 100, activity_line_width, opt_text=mem_fmt)}"] \
temps_data, temps_data_compact = self.get_temps(dev, metrics), self.get_temps(dev, metrics, compact=True)
temps_table = ["=== Temps (°C) ==="] + [f"{name:<16}: {color_temp(val)}" for name, val in temps_data.items()]
+2 -8
View File
@@ -1,18 +1,12 @@
#!/usr/bin/env python3
import os
from tinygrad.helpers import Context
from tinygrad.runtime.support.system import System, PCIDevice
from tinygrad.runtime.support.hcq import FileIOInterface
from tinygrad.runtime.support.system import System, PCIDevice, PCIDevImplBase
from tinygrad.runtime.support.am.amdev import AMDev
if __name__ == "__main__":
gpus = System.pci_scan_bus(0x1002, [(0xffff, [0x74a1, 0x75a0])])
for gpu in gpus:
drv_path = f"/sys/bus/pci/devices/{gpu}/driver"
if FileIOInterface.exists(drv_path) and os.path.basename(os.readlink(drv_path)) == "amdgpu":
raise RuntimeError(f"amdgpu is bound to {gpu}. Stopping...")
pcidevs = [PCIDevice("AM", gpu) for gpu in gpus]
pcidevs = [PCIDevice(f"reset:{gpu}", gpu, bars=[0, 2, 5]) for gpu in gpus]
amdevs = []
with Context(DEBUG=2):
for pcidev in pcidevs:
+4 -29
View File
@@ -7,8 +7,8 @@ class GFXFake:
def __init__(self): self.xccs = 8
class AMDFake(AMDev):
def __init__(self, pci_dev):
self.pci_dev, self.devfmt = pci_dev, pci_dev.pcibus
def __init__(self, pci_dev, dma_regions=None):
self.pci_dev, self.devfmt, self.dma_regions = pci_dev, pci_dev.pcibus, dma_regions
self.vram, self.doorbell64, self.mmio = self.pci_dev.map_bar(0), self.pci_dev.map_bar(2, fmt='Q'), self.pci_dev.map_bar(5, fmt='I')
self._run_discovery()
self._build_regs()
@@ -19,9 +19,8 @@ amdev = importlib.import_module("tinygrad.runtime.support.am.amdev")
amdev.AMDev = AMDFake
from tinygrad.runtime.ops_amd import PCIIface
def parse_amdgpu_logs(log_content, register_names=None, register_objects=None, *, only_xcc0: bool = False):
def parse_amdgpu_logs(log_content, register_names=None, *, only_xcc0: bool = False):
register_map = register_names or {}
register_objs = register_objects or {}
def replace_register(match):
reg = match.group(1)
@@ -38,28 +37,6 @@ def parse_amdgpu_logs(log_content, register_names=None, register_objects=None, *
# remove timing prefix
processed_log = re.sub(r'^\[\s*\d+(?:\.\d+)?\]\s*', '', processed_log, flags=re.MULTILINE)
# decode register values into field dicts
def decode_value(match):
reg_name = match.group(1)
xcc_part = match.group(2) # "xcc=0 " or ""
val_str = match.group(3)
val = int(val_str, 16)
reg_obj = register_objs.get(reg_name)
if reg_obj is not None and reg_obj.fields:
fields = reg_obj.decode(val)
# show raw for unaccounted bits
accounted = 0
for name, (start, end) in reg_obj.fields.items():
accounted |= (((1 << (end - start + 1)) - 1) << start)
unaccounted = val & ~accounted
parts = {k: v for k, v in fields.items() if v != 0}
if unaccounted: parts['_raw_unaccounted'] = hex(unaccounted)
return f"register {reg_name}, {xcc_part}with value {val_str} {parts}"
return match.group(0)
processed_log = re.sub(r'register (reg\w+), ((?:xcc=\d+ )?)with value (0x[0-9a-fA-F]+)', decode_value, processed_log)
# keep only xcc=0 lines (but keep lines with no xcc at all)
if only_xcc0:
kept = []
@@ -73,18 +50,16 @@ def main():
only_xcc0 = bool(getenv("ONLY_XCC0", 0))
reg_names = {}
reg_objs = {}
dev = PCIIface(None, 0)
for x, y in dev.dev_impl.__dict__.items():
if isinstance(y, AMRegister):
for xcc, addr in y.addr.items():
reg_names[addr] = f"{x}, xcc={xcc}"
reg_objs[x] = y
with open(sys.argv[1], 'r') as f:
log_content = f.read()
processed_log = parse_amdgpu_logs(log_content, reg_names, reg_objs, only_xcc0=only_xcc0)
processed_log = parse_amdgpu_logs(log_content, reg_names, only_xcc0=only_xcc0)
with open(sys.argv[2], 'w') as f:
f.write(processed_log)
@@ -1,17 +1,17 @@
An integrated environment for AMD GPU assembly and emulation
Test with `pytest -n12 test/amd/`
`AMD_LLVM=1 pytest -n12 test/amd/`
Test with `PYTHONPATH="." pytest -n12 extra/assembly/amd/`
`AMD_LLVM=1 PYTHONPATH="." pytest -n12 extra/assembly/amd/`
* pdf.py -- extract assembly format + instruction pseudocode from AMD PDF
* dsl.py -- helpers for the autogen instruction classes in `__init__.py`. should be standalone with init
* test/mockgpu/amd/emu.py -- an emulator for RDNA that runs in tinygrad with `AMD=1 MOCKGPU=1 PYTHON_REMU=1`
* generate.py -- extract assembly format + instruction pseudocode from AMD XML + PDF
* test/mockgpu/amd/pcode.py -- pseudocode to UOp transformation
* sqtt.py -- SQTT parser
* pcode.py -- pseudocode execution environment. pseudocode should be transformed as little as possible.
* asm.py -- an asm/disasm function to transform to and from AMD assembly syntax
* emu.py -- an emulator for RDNA that runs in tinygrad with `AMD=1 MOCKGPU=1 PYTHON_REMU=1`
The code should be as readable and deduplicated as possible. emu (in test/mockgpu/amd/) shouldn't be required for dsl.
The code should be as readable and deduplicated as possible. asm and emu shouldn't be required for dsl.
The autogen folder is autogenerated from the AMD PDFs with `python3 -m tinygrad.renderer.amd.pdf --arch all`
The autogen folder is autogenerated from the AMD PDFs with `python3 -m extra.assembly.amd.pdf --arch all`
test_emu.py has a good set of instruction tests for the emulation, with USE_HW=1 it will compare to real hardware.
Whenever an instruction is fixed, regression tests should be added here and confirmed with real hardware.
@@ -20,20 +20,20 @@ test_llvm.py tests asm/disasm on the LLVM tests, confirming it behaves the same
tinygrad's dtype tests should pass with and without LLVM. they run in about 12 seconds.
`AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=12 test/backend/test_dtype_alu.py test/backend/test_dtype.py`
`AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=12 test/backend/test_dtype_alu.py test/backend/test_dtype.py`
`PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=12 test/test_dtype_alu.py test/test_dtype.py`
`PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=12 test/test_dtype_alu.py test/test_dtype.py`
The ops tests also pass, but they are very slow, so you should run them one at a time.
`SKIP_SLOW_TEST=1 AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=12 test/backend/test_ops.py`
`SKIP_SLOW_TEST=1 AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=12 test/backend/test_ops.py`
`SKIP_SLOW_TEST=1 PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=12 test/test_ops.py`
`SKIP_SLOW_TEST=1 PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=12 test/test_ops.py`
When something is caught by main tinygrad tests, a local regression test should be added to `test/amd`.
When something is caught by main tinygrad tests, a local regression test should be added to `extra/assembly/amd/test`.
While working with tinygrad, you can dump the assembly with `DEBUG=7`. These tests all pass on real hardware
If a test is failing with `AMD=1 PYTHON_REMU=1 MOCKGPU=1` it's because an instruction is emulated incorrectly.
You can test without `MOCKGPU=1` to test on real hardware, if it works on real hardware there's a bug in the emulator.
IMPORTANT: if a test is failing in the emulator, it's an instruction bug. Use DEBUG=7, get the instructions, and debug.
Currently, only RDNA3 is well supported, but when finished, this will support RDNA3+RDNA4+CDNA in ~3000 lines.
Get line count with `cloc --by-file tinygrad/renderer/amd/*.py`
Currently, only RDNA3 is well supported, but when finished, this will support RDNA3+RDNA4+CDNA in ~2000 lines.
Get line count with `cloc --by-file extra/assembly/amd/*.py`
@@ -1,7 +1,7 @@
# AMD ISA code generator - generates enum.py, ins.py, operands.py, str_pcode.py
# Sources: XML from https://gpuopen.com/download/machine-readable-isa/latest/
# PDF manuals from AMD documentation
import re, zlib, xml.etree.ElementTree as ET, zipfile, pathlib
import re, zlib, xml.etree.ElementTree as ET, zipfile
from tinygrad.helpers import fetch
# ═══════════════════════════════════════════════════════════════════════════════
@@ -14,39 +14,28 @@ ARCHS = {
"cdna": {"xml": "amdgpu_isa_cdna4.xml", "pdf": "https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-cdna4-instruction-set-architecture.pdf"},
}
XML_URL = "https://gpuopen.com/download/machine-readable-isa/latest/"
# Map XML encoding names to codebase names
NAME_MAP = {"VOP3_SDST_ENC": "VOP3SD", "VOP3_SDST_ENC_LIT": "VOP3SD_LIT", "VOP3_SDST_ENC_DPP16": "VOP3SD_DPP16",
"VOP3_SDST_ENC_DPP8": "VOP3SD_DPP8", "VOPDXY": "VOPD", "VOPDXY_LIT": "VOPD_LIT", "VDS": "DS"}
# Map XML encoding names to codebase names (arch-specific overrides in ARCH_NAME_MAP)
NAME_MAP = {"VOP3_SDST_ENC": "VOP3SD", "VOPDXY": "VOPD", "VDS": "DS"}
ARCH_NAME_MAP = {"cdna": {"VOP3": "VOP3A", "VOP3_SDST_ENC": "VOP3B"}}
# Instructions missing from XML but present in PDF
FIXES = {"rdna3": {"SOPK": {22: "S_SUBVECTOR_LOOP_BEGIN", 23: "S_SUBVECTOR_LOOP_END"}, "FLAT": {55: "FLAT_ATOMIC_CSUB_U32"}},
"rdna4": {"SOP1": {80: "S_GET_BARRIER_STATE", 81: "S_BARRIER_INIT", 82: "S_BARRIER_JOIN"}, "SOPP": {9: "S_WAITCNT", 21: "S_BARRIER_LEAVE"}},
"cdna": {"DS": {152: "DS_GWS_SEMA_RELEASE_ALL", 154: "DS_GWS_SEMA_V", 156: "DS_GWS_SEMA_P"},
"VOP3P": {44: "V_MFMA_LD_SCALE_B32", 62: "V_MFMA_F32_16X16X8_XF32", 63: "V_MFMA_F32_32X32X4_XF32"}}}
# Fields missing from XML but present in hardware (format: {arch: {encoding: [(name, hi, lo), ...]}})
FIELD_FIXES = {"cdna": {"VOP3P": [("opsel_hi2", 14, 14)]}}
"rdna4": {"SOP1": {80: "S_GET_BARRIER_STATE", 81: "S_BARRIER_INIT", 82: "S_BARRIER_JOIN"}, "SOPP": {9: "S_WAITCNT", 21: "S_BARRIER_LEAVE"}}}
# Encoding suffixes to strip (variants we don't generate separate classes for)
_ENC_SUFFIXES = ("_NSA1",)
# Encoding suffix to class suffix mapping (for variants we DO generate)
_ENC_SUFFIX_MAP = {"_INST_LITERAL": "_LIT", "_VOP_DPP16": "_DPP16", "_VOP_DPP": "_DPP16", "_VOP_DPP8": "_DPP8",
"_VOP_SDWA": "_SDWA", "_VOP_SDWA_SDST_ENC": "_SDWA_SDST", "_MFMA": "_MFMA"}
_ENC_SUFFIXES = ("_INST_LITERAL", "_VOP_DPP16", "_VOP_DPP8", "_VOP_DPP", "_VOP_SDWA", "_NSA1", "_MFMA")
# Field name normalization
_FIELD_RENAMES = {"opsel_hi_2": "opsel_hi2", "op_sel_hi_2": "opsel_hi2", "op_sel": "opsel", "bound_ctrl": "bc",
"tgt": "target", "row_en": "row", "unorm": "unrm", "clamp": "clmp", "wait_exp": "waitexp",
"simm32": "literal", "dpp_ctrl": "dpp", "acc_cd": "acc_cd", "acc": "acc",
"dst_sel": "dst_sel", "dst_unused": "dst_unused", "src0_sel": "src0_sel", "src1_sel": "src1_sel"}
# Encoding variants to skip entirely (NSA is for MIMG graphics instructions)
_SKIP_ENCODINGS = ("NSA",)
"tgt": "target", "row_en": "row", "unorm": "unrm", "clamp": "clmp", "wait_exp": "waitexp"}
# Encoding variants to skip entirely
_SKIP_ENCODINGS = ("LITERAL", "NSA", "DPP", "SDWA", "MFMA")
# ═══════════════════════════════════════════════════════════════════════════════
# XML parsing helpers
# ═══════════════════════════════════════════════════════════════════════════════
def _strip_enc(name: str) -> str:
"""Strip ENC_ prefix and normalize encoding suffixes."""
"""Strip ENC_ prefix and encoding variant suffixes."""
name = name.removeprefix("ENC_")
for sfx in _ENC_SUFFIXES: name = name.replace(sfx, "")
# Process longer suffixes first to avoid partial matches (e.g., _VOP_DPP8 before _VOP_DPP)
for old, new in sorted(_ENC_SUFFIX_MAP.items(), key=lambda x: -len(x[0])): name = name.replace(old, new)
return name
def _norm_field(name: str) -> str:
@@ -69,21 +58,10 @@ def _map_flat(enc_name: str, instr_name: str) -> str:
# XML parsing
# ═══════════════════════════════════════════════════════════════════════════════
def parse_xml(filename: str):
def parse_xml(filename: str, arch: str):
root = ET.fromstring(zipfile.ZipFile(fetch(XML_URL)).read(filename))
name_map = {**NAME_MAP, **ARCH_NAME_MAP.get(arch, {})}
encodings, enums, types, fmts, op_types_set = {}, {}, {}, {}, set()
# Extract HWREG and MSG enums from OperandTypes
op_enum_map = {("OPR_HWREG", "ID"): "HWREG", ("OPR_SENDMSG_RTN", "MSG"): "MSG"}
for ot in root.findall(".//OperandTypes/OperandType"):
ot_name = ot.findtext("OperandTypeName")
for field in ot.findall(".//Field"):
key = (ot_name, field.findtext("FieldName"))
if (enum_name := op_enum_map.get(key)): # type: ignore[arg-type]
def _pv_val(pv: ET.Element) -> tuple[int, str]:
v, n = pv.findtext("Value"), pv.findtext("Name")
assert v is not None and n is not None
return int(v), n.upper()
enums[enum_name] = dict(_pv_val(pv) for pv in field.findall(".//PredefinedValue"))
# Extract DataFormats with BitCount
for df in root.findall("ISA/DataFormats/DataFormat"):
name, bits = df.findtext("DataFormatName"), df.findtext("BitCount")
@@ -91,67 +69,36 @@ def parse_xml(filename: str):
# Extract encoding definitions
for enc in root.findall("ISA/Encodings/Encoding"):
name = enc.findtext("EncodingName")
assert name is not None
is_base = name.startswith("ENC_") or name in ("VOP3_SDST_ENC", "VOPDXY")
is_variant = any(sfx in name for sfx in _ENC_SUFFIX_MAP)
if not is_base and not is_variant: continue
if not name.startswith("ENC_") and name not in ("VOP3_SDST_ENC", "VOPDXY"): continue
if any(s in name for s in _SKIP_ENCODINGS): continue
fields: list[tuple[str, int, int]] = []
for f in enc.findall(".//MicrocodeFormat/BitMap/Field"):
br = f.find("BitLayout/Range")
if br is None: continue
fn = f.findtext("FieldName")
assert fn is not None
fields.append((_norm_field(fn.lower()),
int(br.findtext("BitOffset") or 0) + int(br.findtext("BitCount") or 0) - 1, int(br.findtext("BitOffset") or 0)))
ident_list = enc.findall("EncodingIdentifiers/EncodingIdentifier")
ident = ident_list[0] if ident_list else None
fields = [(_norm_field(f.findtext("FieldName").lower()), int(f.find("BitLayout/Range").findtext("BitOffset") or 0) + int(f.find("BitLayout/Range").findtext("BitCount") or 0) - 1,
int(f.find("BitLayout/Range").findtext("BitOffset") or 0))
for f in enc.findall(".//MicrocodeFormat/BitMap/Field") if f.find("BitLayout/Range") is not None]
ident = (enc.findall("EncodingIdentifiers/EncodingIdentifier") or [None])[0]
enc_field = next((f for f in fields if f[0] == "encoding"), None)
# For multi-dword formats, encoding field may be in higher dword but identifier is always in dword0; use % 32
enc_bits: str | None = None
if ident is not None and ident.text is not None and enc_field:
enc_bits = "".join(ident.text[len(ident.text)-1-b] for b in range(enc_field[1] % 32, (enc_field[2] % 32)-1, -1))
enc_bits = "".join(ident.text[len(ident.text)-1-b] for b in range(enc_field[1], enc_field[2]-1, -1)) if ident is not None and enc_field else None
base_name = _strip_enc(name)
encodings[NAME_MAP.get(base_name, base_name)] = (fields, enc_bits)
encodings[name_map.get(base_name, base_name)] = (fields, enc_bits)
# Extract instruction opcodes and operand info
# Track which encodings each opcode appears in (for detecting LIT-only ops)
opcode_encs: dict[str, dict[int, set[str]]] = {} # {base_fmt: {opcode: {enc_names}}}
for instr in root.findall("ISA/Instructions/Instruction"):
name = instr.findtext("InstructionName")
assert name is not None
for enc in instr.findall("InstructionEncodings/InstructionEncoding"):
if enc.findtext("EncodingCondition") != "default": continue
enc_enc_name = enc.findtext("EncodingName")
assert enc_enc_name is not None
base, opcode = _map_flat(_strip_enc(enc_enc_name), name), int(enc.findtext("Opcode") or 0)
enc_name = NAME_MAP.get(base, base)
# Encoding variants use the same Op enum as the base format
base_enum = enc_name
for sfx in ("_SDWA_SDST", "_DPP16", "_DPP8", "_SDWA", "_LIT", "_MFMA"):
base_enum = base_enum.replace(sfx, "")
# Track which encodings this opcode appears in
opcode_encs.setdefault(base_enum, {}).setdefault(opcode, set()).add(enc_name)
base, opcode = _map_flat(_strip_enc(enc.findtext("EncodingName")), name), int(enc.findtext("Opcode") or 0)
enc_name = name_map.get(base, base)
# ADDTID instructions go in both FLAT and GLOBAL enums (pcode uses FLATOp for these)
if "ADDTID" in name:
if base == "GLOBAL": enums.setdefault("FLAT", {})[opcode] = name
elif base == "VGLOBAL": enums.setdefault("VFLAT", {})[opcode] = name
enums.setdefault(base_enum, {})[opcode] = name
enums.setdefault(enc_name, {})[opcode] = name
# Extract operand info
op_info: dict[str, tuple[str | None, int, str | None]] = {}
for op in enc.findall("Operands/Operand"):
fn = op.findtext("FieldName")
if fn: op_info[fn.lower()] = (op.findtext("DataFormatName"), int(op.findtext("OperandSize") or 0), op.findtext("OperandType"))
op_info = {op.findtext("FieldName").lower(): (op.findtext("DataFormatName"), int(op.findtext("OperandSize") or 0), op.findtext("OperandType"))
for op in enc.findall("Operands/Operand") if op.findtext("FieldName")}
for fmt, _, otype in op_info.values():
if fmt and fmt not in fmts: fmts[fmt] = 0
if otype: op_types_set.add(otype)
if op_info: types[(name, base_enum)] = op_info
# Find opcodes that only exist in a specific variant encoding (no base format version)
suffix_only_ops: dict[str, dict[str, set[int]]] = {} # {suffix: {base_fmt: {opcodes}}}
for base_fmt, opcodes in opcode_encs.items():
for opcode, encs in opcodes.items():
suffix = next((s for s in _ENC_SUFFIX_MAP.values() if all(s in e for e in encs)), None)
if suffix is not None: suffix_only_ops.setdefault(suffix, {}).setdefault(base_fmt, set()).add(opcode)
return encodings, enums, types, fmts, op_types_set, suffix_only_ops
if op_info: types[(name, enc_name)] = op_info
return encodings, enums, types, fmts, op_types_set
# ═══════════════════════════════════════════════════════════════════════════════
# PDF parsing
@@ -162,9 +109,7 @@ def extract_pdf_text(url: str) -> list[list[tuple[float, float, str, str]]]:
data = fetch(url).read_bytes()
# Parse xref table to locate objects
xref: dict[int, int] = {}
xref_match = re.search(rb'startxref\s+(\d+)', data)
assert xref_match is not None
pos = int(xref_match.group(1)) + 4
pos = int(re.search(rb'startxref\s+(\d+)', data).group(1)) + 4
while data[pos:pos+7] != b'trailer':
while data[pos:pos+1] in b' \r\n': pos += 1
line_end = data.find(b'\n', pos)
@@ -185,19 +130,14 @@ def extract_pdf_text(url: str) -> list[list[tuple[float, float, str, str]]]:
if not (m := re.search(rb'/Contents (\d+) 0 R', data[xref[n]:xref[n]+500])): continue
stream = get_stream(int(m.group(1))).decode('latin-1')
elements, font = [], ''
_RE_BT = (r'(/F[\d.]+) [\d.]+ Tf|([\d.+-]+) ([\d.+-]+) Td|[\d.+-]+ [\d.+-]+ [\d.+-]+ [\d.+-]+ ([\d.+-]+) ([\d.+-]+) Tm'
r'|<([0-9A-Fa-f]+)>.*?Tj|\[([^\]]+)\] TJ')
for bt in re.finditer(r'BT(.*?)ET', stream, re.S):
x, y = 0.0, 0.0
for sm in re.finditer(_RE_BT, bt.group(1)):
if sm.group(1): font = sm.group(1)
elif sm.group(2): x, y = x + float(sm.group(2)), y + float(sm.group(3))
elif sm.group(4): x, y = float(sm.group(4)), float(sm.group(5))
elif sm.group(6) and (t := bytes.fromhex(sm.group(6)).decode('latin-1')).strip():
elements.append((x, y, t, font))
elif sm.group(7):
t = ''.join(bytes.fromhex(h).decode('latin-1') for h in re.findall(r'<([0-9A-Fa-f]+)>', sm.group(7)))
if t.strip(): elements.append((x, y, t, font))
for m in re.finditer(r'(/F[\d.]+) [\d.]+ Tf|([\d.+-]+) ([\d.+-]+) Td|[\d.+-]+ [\d.+-]+ [\d.+-]+ [\d.+-]+ ([\d.+-]+) ([\d.+-]+) Tm|<([0-9A-Fa-f]+)>.*?Tj|\[([^\]]+)\] TJ', bt.group(1)):
if m.group(1): font = m.group(1)
elif m.group(2): x, y = x + float(m.group(2)), y + float(m.group(3))
elif m.group(4): x, y = float(m.group(4)), float(m.group(5))
elif m.group(6) and (t := bytes.fromhex(m.group(6)).decode('latin-1')).strip(): elements.append((x, y, t, font))
elif m.group(7) and (t := ''.join(bytes.fromhex(h).decode('latin-1') for h in re.findall(r'<([0-9A-Fa-f]+)>', m.group(7)))).strip(): elements.append((x, y, t, font))
pages.append(sorted(elements, key=lambda e: (-e[1], e[0])))
return pages
@@ -223,7 +163,7 @@ def extract_pcode(pages: list[list[tuple[float, float, str, str]]], name_to_op:
else:
next_page, next_y = page_idx, 0
# Collect F6 text from current position to next instruction (pseudocode is at x ≈ 69)
lines: list[tuple[int, float, str]] = []
lines = []
for p in range(page_idx, next_page + 1):
start_y = y if p == page_idx else 800
end_y = next_y if p == next_page else 0
@@ -246,12 +186,8 @@ def extract_pcode(pages: list[list[tuple[float, float, str, str]]], name_to_op:
# Code generation
# ═══════════════════════════════════════════════════════════════════════════════
def write_common(all_fmts: dict[str, int], all_op_types: set[str], path: pathlib.Path) -> None:
lines: list[str] = ["# autogenerated from AMD ISA XML - do not edit", "from enum import Enum, auto", ""]
lines.append("class ReprEnum(Enum):")
lines.append(' """Enum with clean repr that roundtrips with eval()."""')
lines.append(' def __repr__(self): return f"{type(self).__name__}.{self.name}"')
lines.append("")
def write_common(all_fmts, all_op_types, path):
lines = ["# autogenerated from AMD ISA XML - do not edit", "from enum import Enum, auto", ""]
lines.append("class Fmt(Enum):")
for fmt in sorted(all_fmts.keys()): lines.append(f" {fmt} = auto()")
lines.append("")
@@ -264,12 +200,11 @@ def write_common(all_fmts: dict[str, int], all_op_types: set[str], path: pathlib
with open(path, "w") as f: f.write("\n".join(lines))
def write_enum(enums, path):
lines: list[str] = ["# autogenerated from AMD ISA XML - do not edit",
"from tinygrad.runtime.autogen.amd.common import ReprEnum, Fmt, FMT_BITS, OpType # noqa: F401", ""]
lines = ["# autogenerated from AMD ISA XML - do not edit", "from enum import Enum", "from extra.assembly.amd.autogen.common import Fmt, FMT_BITS, OpType # noqa: F401", ""]
for name, ops in sorted(enums.items()):
if not ops: continue
suffix = "_E32" if name in ("VOP1", "VOP2", "VOPC") else "_E64" if name == "VOP3" else ""
lines.append(f"class {name}(ReprEnum):" if name in ("HWREG", "MSG") else f"class {name}Op(ReprEnum):")
lines.append(f"class {name}Op(Enum):")
aliases = []
for op, mem in sorted(ops.items()):
msuf = suffix if name != "VOP3" or op < 512 else ""
@@ -279,17 +214,12 @@ def write_enum(enums, path):
lines.append("")
with open(path, "w") as f: f.write("\n".join(lines))
def write_ins(encodings, enums, suffix_only_ops, types, arch, path):
_VGPR_FIELDS = {"vdst", "vdstx", "vsrc0", "vsrc1", "vsrc2", "vsrc3", "vsrcx1", "vsrcy1", "vaddr", "vdata", "data", "data0", "data1", "addr", "vsrc"}
_VARIANT_SUFFIXES = ("_LIT", "_DPP16", "_DPP8", "_SDWA_SDST", "_SDWA", "_MFMA")
def get_base_fmt(fmt):
for sfx in _VARIANT_SUFFIXES: fmt = fmt.replace(sfx, "")
return fmt
def write_ins(encodings, enums, arch, path):
_VGPR_FIELDS = {"vdst", "vdstx", "vsrc0", "vsrc1", "vsrc2", "vsrc3", "vsrcx1", "vsrcy1", "vaddr", "vdata", "data", "data0", "data1", "addr"}
def field_def(name, hi, lo, fmt, enc_bits=None):
bits = hi - lo + 1
base_fmt = get_base_fmt(fmt)
if name == "encoding" and enc_bits: return f"FixedBitField({hi}, {lo}, 0b{enc_bits})"
if name == "op" and fmt not in ("DPP", "SDWA"): return f"EnumBitField({hi}, {lo}, {base_fmt}Op)"
if name == "op" and fmt not in ("DPP", "SDWA"): return f"EnumBitField({hi}, {lo}, {fmt}Op)"
if name in ("opx", "opy"): return f"EnumBitField({hi}, {lo}, VOPDOp)"
if name == "vdsty": return f"VDSTYField({hi}, {lo})"
if name in _VGPR_FIELDS and bits == 8: return f"VGPRField({hi}, {lo})"
@@ -300,164 +230,53 @@ def write_ins(encodings, enums, suffix_only_ops, types, arch, path):
if name.startswith("ssrc") and bits == 8: return f"SSrcField({hi}, {lo})"
if name in ("saddr", "soffset") and bits == 8: return f"SSrcField({hi}, {lo}, default=NULL)"
if name.startswith("src") and bits == 9: return f"SrcField({hi}, {lo})"
# GLOBAL/SCRATCH: offset is 13-bit signed [12:0], FLAT: 12-bit unsigned (XML has 12-bit for all)
if name == "offset" and base_fmt in ("GLOBAL", "SCRATCH"): return f"BitField(12, {lo})"
if base_fmt == "VOP3P" and name == "opsel_hi": return f"BitField({hi}, {lo}, default=3)"
if base_fmt == "VOP3P" and name == "opsel_hi2": return f"BitField({hi}, {lo}, default=1)"
if fmt == "VOP3P" and name == "opsel_hi": return f"BitField({hi}, {lo}, default=3)"
if fmt == "VOP3P" and name == "opsel_hi2": return f"BitField({hi}, {lo}, default=1)"
return f"BitField({hi}, {lo})"
ORDER = ['encoding', 'op', 'opx', 'opy', 'vdst', 'vdstx', 'vdsty', 'sdst', 'vdata', 'sdata', 'addr', 'vaddr', 'data', 'data0', 'data1',
'src0', 'srcx0', 'srcy0', 'vsrc0', 'ssrc0', 'src1', 'vsrc1', 'vsrcx1', 'vsrcy1', 'ssrc1', 'src2', 'vsrc2', 'src3', 'vsrc3',
'saddr', 'sbase', 'srsrc', 'ssamp', 'soffset', 'offset', 'simm16', 'literal', 'en', 'target', 'attr', 'attr_chan',
'saddr', 'sbase', 'srsrc', 'ssamp', 'soffset', 'offset', 'simm16', 'en', 'target', 'attr', 'attr_chan',
'omod', 'neg', 'neg_hi', 'abs', 'clmp', 'opsel', 'opsel_hi', 'waitexp', 'wait_va',
'dmask', 'dim', 'seg', 'format', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe', 'unrm', 'done', 'row',
'dpp', 'fi', 'bc', 'row_mask', 'bank_mask', 'src0_neg', 'src0_abs', 'src1_neg', 'src1_abs',
'cbsz', 'abid', 'acc_cd', 'acc', 'blgp', 'lane_sel_0', 'lane_sel_1', 'lane_sel_2', 'lane_sel_3',
'lane_sel_4', 'lane_sel_5', 'lane_sel_6', 'lane_sel_7', 'dst_sel', 'dst_unused', 'src0_sel', 'src1_sel']
def sort_fields(fields): return sorted(fields, key=lambda f: (ORDER.index(f[0]) if f[0] in ORDER else 999, f[2]))
'dmask', 'dim', 'seg', 'format', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe', 'unrm', 'done', 'row']
sort_fields = lambda fields: sorted(fields, key=lambda f: (ORDER.index(f[0]) if f[0] in ORDER else 999, f[2]))
# Separate base encodings from variants
base_encodings, variant_encodings = {}, {}
for enc_name, data in encodings.items():
base = get_base_fmt(enc_name)
if base == enc_name: base_encodings[enc_name] = data
else: variant_encodings[enc_name] = data
# Build sets of ops by their vdst type from operand metadata
sdst_opcodes: dict[str, set[int]] = {} # ops where vdst is OPR_SREG (writes to SGPR)
for fmt, ops in enums.items():
for op, name in ops.items():
op_types = types.get((name, fmt), {})
vdst_type = op_types.get("vdst", (None, None, None))[2]
if vdst_type == "OPR_SREG": sdst_opcodes.setdefault(fmt, set()).add(op)
# collect only the XxxOp enums that are actually referenced in this arch's instruction definitions
enum_names = sorted(f"{k}Op" for k in enums if enums[k] and k not in ("HWREG", "MSG"))
# also re-export HWREG/MSG enums (plain enums, not instruction format ops)
enum_names += sorted(k for k in enums if k in ("HWREG", "MSG") and enums[k])
# collect DSL field types actually used by scanning generated field definitions
all_field_defs = " ".join(field_def(fn, hi, lo, enc, eb) for enc, (flds, eb) in encodings.items() for fn, hi, lo in flds)
_ALL_DSL = ["BitField", "EnumBitField", "FixedBitField", "NULL", "SBaseField", "SGPRField", "SRsrcField",
"SSrcField", "SrcField", "VDSTYField", "VGPRField"]
dsl_names = ["Inst"] + [n for n in _ALL_DSL if n in all_field_defs]
# also re-export register names so `from ins import *` still provides them to downstream users
_DSL_REGS = ["s", "v", "src", "VCC_LO", "VCC_HI", "VCC", "EXEC_LO", "EXEC_HI", "EXEC", "NULL", "OFF", "M0",
"SCC", "VCCZ", "EXECZ", "ttmp", "INV_2PI", "SDWA", "DPP", "DPP16", "LIT", "SRC_LDS_DIRECT"]
dsl_reexport = sorted(set(dsl_names + _DSL_REGS))
lines: list[str] = ["# autogenerated from AMD ISA XML - do not edit", "# ruff: noqa: E501,F401",
f"from tinygrad.renderer.amd.dsl import {', '.join(dsl_reexport)}",
f"from tinygrad.runtime.autogen.amd.{arch}.enum import {', '.join(enum_names)}", "import functools", ""]
def fmt_allowed(op_enum: str, ops: set[int]) -> str:
"""Format allowed ops as {EnumName.MEMBER, ...}."""
names = [f"{op_enum}.{enums[op_enum.removesuffix('Op')][op]}" for op in sorted(ops)]
return "{" + ", ".join(names) + "}"
# Generate base classes first
for enc_name, (fields, enc_bits) in sorted(base_encodings.items()):
all_ops = set(enums.get(enc_name, {}).keys())
# Get suffix-only ops for this format (these can't be used in base class)
base_suffix_ops = set().union(*(d.get(enc_name, set()) for d in suffix_only_ops.values()))
# Exclude SDST ops from base class (they need VOP1_SDST/VOP3_SDST/VOP3B)
base_allowed = all_ops - base_suffix_ops - sdst_opcodes.get(enc_name, set())
# RDNA3 FLAT/GLOBAL/SCRATCH share encoding bits, differentiated by seg field
# RDNA4 VFLAT/VGLOBAL/VSCRATCH have distinct encoding bits, no seg field needed
has_seg_field = any(fn == "seg" for fn, _, _ in fields)
if enc_name in ("FLAT", "VFLAT") and has_seg_field:
lines = ["# autogenerated from AMD ISA XML - do not edit", "# ruff: noqa: F401,F403",
"from extra.assembly.amd.dsl import *", f"from extra.assembly.amd.autogen.{arch}.enum import *", "import functools", ""]
for enc_name, (fields, enc_bits) in sorted(encodings.items()):
if enc_name in ("FLAT", "VFLAT"):
prefix = "V" if enc_name == "VFLAT" else ""
flat_variants = [(f"{prefix}FLAT", 0, f"{prefix}FLATOp"), (f"{prefix}GLOBAL", 2, f"{prefix}GLOBALOp"),
(f"{prefix}SCRATCH", 1, f"{prefix}SCRATCHOp")]
for cls, seg, op_enum in flat_variants:
cls_ops = set(enums.get(cls, {}).keys())
for cls, seg, op_enum in [(f"{prefix}FLAT", 0, f"{prefix}FLATOp"), (f"{prefix}GLOBAL", 2, f"{prefix}GLOBALOp"), (f"{prefix}SCRATCH", 1, f"{prefix}SCRATCHOp")]:
lines.append(f"class {cls}(Inst):")
for fn, hi, lo in sort_fields(fields):
if fn == "seg": lines.append(f" seg = FixedBitField({hi}, {lo}, {seg})")
elif fn == "op": lines.append(f" op = EnumBitField({hi}, {lo}, {op_enum}, {fmt_allowed(op_enum, cls_ops)})")
elif fn == "op": lines.append(f" op = EnumBitField({hi}, {lo}, {op_enum})")
else: lines.append(f" {fn} = {field_def(fn, hi, lo, cls, enc_bits)}")
lines.append("")
elif enc_name not in ("FLAT_GLOBAL", "FLAT_SCRATCH", "FLAT_GLBL", "DPP", "SDWA"):
elif enc_name not in ("FLAT_GLOBAL", "FLAT_SCRATCH", "FLAT_GLBL", "VGLOBAL", "VSCRATCH", "DPP", "SDWA"):
lines.append(f"class {enc_name}(Inst):")
for fn, hi, lo in sort_fields(fields):
if fn == "op":
base_fmt = get_base_fmt(enc_name)
lines.append(f" op = EnumBitField({hi}, {lo}, {base_fmt}Op, {fmt_allowed(f'{base_fmt}Op', base_allowed)})")
else:
lines.append(f" {fn} = {field_def(fn, hi, lo, enc_name, enc_bits if fn == 'encoding' else None)}")
lines.append(f" {fn} = {field_def(fn, hi, lo, enc_name, enc_bits if fn == 'encoding' else None)}")
lines.append("")
# Generate variant classes that inherit from base (only add extra fields)
for enc_name, (fields, enc_bits) in sorted(variant_encodings.items()):
base = get_base_fmt(enc_name)
if base not in base_encodings: continue # skip if no base class
base_fields = {f[0] for f in base_encodings[base][0]}
extra_fields = [(fn, hi, lo) for fn, hi, lo in fields if fn not in base_fields]
# Check if this is a suffix-only variant
variant_suffix = next((sfx for sfx in _VARIANT_SUFFIXES if enc_name.endswith(sfx)), None)
is_suffix_variant = variant_suffix in suffix_only_ops
all_ops = set(enums.get(base, {}).keys())
if extra_fields or is_suffix_variant:
lines.append(f"class {enc_name}({base}):")
op_field = next((f for f in base_encodings[base][0] if f[0] == "op"), None)
# _LIT classes: override op to allow all opcodes (base excludes lit-only ops)
# other classes override op to only suffix-only opcodes
if op_field and is_suffix_variant:
_, hi, lo = op_field
allowed_ops = all_ops if variant_suffix == "_LIT" else suffix_only_ops[variant_suffix][base]
lines.append(f" op = EnumBitField({hi}, {lo}, {base}Op, {fmt_allowed(f'{base}Op', allowed_ops)})")
for fn, hi, lo in sort_fields(extra_fields):
lines.append(f" {fn} = {field_def(fn, hi, lo, enc_name)}")
lines.append("")
# SDST variants (special case - redefine vdst field type, restrict to SDST ops)
for base, field_hi, field_lo in [("VOP1", 24, 17), ("VOP3", 7, 0)]:
if base not in base_encodings: continue
sdst_ops = sdst_opcodes.get(base, set())
if not sdst_ops: continue
# For VOP3, all ops < 256 (compare/cmpx ops) use SDST encoding
all_base_ops = set(enums.get(base, {}).keys())
if base == "VOP3": sdst_ops = sdst_ops | {op for op in all_base_ops if op < 256}
op_field = next((f for f in base_encodings[base][0] if f[0] == "op"), None)
lines.append(f"class {base}_SDST({base}):")
if op_field:
_, hi, lo = op_field
lines.append(f" op = EnumBitField({hi}, {lo}, {base}Op, {fmt_allowed(f'{base}Op', sdst_ops)})")
lines.append(f" vdst = SSrcField({field_hi}, {field_lo})")
lines.append("")
# SDST_LIT class (for literals with SDST destination) - same ops, just adds literal field
lit_enc = variant_encodings.get(f"{base}_LIT")
if lit_enc:
lit_field = next((f for f in lit_enc[0] if f[0] == "literal"), None)
if lit_field:
lines.append(f"class {base}_SDST_LIT({base}_SDST):")
lines.append(f" literal = BitField({lit_field[1]}, {lit_field[2]})")
lines.append("")
# SDST variants
for base, field in [("VOP1", "vdst = SSrcField(24, 17)"), ("VOP3", "vdst = SSrcField(7, 0)")]:
if base in encodings: lines += [f"class {base}_SDST({base}):", f" {field}", ""]
# Instruction helpers
lines.append("# instruction helpers")
SDST_OPS = {"V_READFIRSTLANE_B32", "V_READLANE_B32"}
for fmt, ops in sorted(enums.items()):
if fmt not in base_encodings and fmt not in ("GLOBAL", "SCRATCH", "VGLOBAL", "VSCRATCH"): continue
if fmt not in encodings and fmt not in ("GLOBAL", "SCRATCH", "VGLOBAL", "VSCRATCH"): continue
suffix = "_E32" if fmt in ("VOP1", "VOP2", "VOPC") else "_E64" if fmt == "VOP3" else ""
op_to_suffix = {op:suffix for suffix,ops in suffix_only_ops.items() for op in ops.get(fmt, set())}
fmt_sdst_ops = sdst_opcodes.get(fmt, set())
for op, name in sorted(ops.items()):
# ADDTID ops are in both FLAT and GLOBAL enums (for pcode); only generate helper for GLOBAL/VGLOBAL
if "ADDTID" in name and fmt in ("FLAT", "VFLAT"): continue
msuf = suffix if fmt != "VOP3" or op < 512 else ""
# Determine class: SDST variants, suffix-specific variants (e.g., _MFMA, _LIT), or base
if fmt == "VOP1" and op in fmt_sdst_ops: cls = "VOP1_SDST"
elif fmt == "VOP3" and (op in fmt_sdst_ops or op < 256): cls = "VOP3_SDST"
elif op_to_suffix.get(op): cls = f"{fmt}{op_to_suffix[op]}"
else: cls = fmt
cls = "VOP1_SDST" if fmt == "VOP1" and name in SDST_OPS else "VOP3_SDST" if fmt == "VOP3" and (name in SDST_OPS or op < 256) else fmt
lines.append(f"{name.lower()}{msuf.lower()} = functools.partial({cls}, {fmt}Op.{name}{msuf})")
with open(path, "w") as f: f.write("\n".join(lines))
def write_operands(types: dict, enums: dict, arch: str, path: pathlib.Path) -> None:
def write_operands(types, enums, arch, path):
valid = {(name, fmt) for fmt, ops in enums.items() for name in ops.values()}
# only import enums that are actually used as keys in OPERANDS
used_bases = {eb for (nm, eb) in types if (nm, eb) in valid}
enum_names = sorted(f"{k}Op" for k in used_bases)
lines: list[str] = ["# autogenerated from AMD ISA XML - do not edit",
"from tinygrad.runtime.autogen.amd.common import Fmt, OpType",
f"from tinygrad.runtime.autogen.amd.{arch}.enum import {', '.join(enum_names)}", ""]
lines = ["# autogenerated from AMD ISA XML - do not edit",
"from extra.assembly.amd.autogen.common import Fmt, OpType",
f"from extra.assembly.amd.autogen.{arch}.enum import *", ""]
lines.append("# instruction operand info: {Op: {field: (Fmt, size_bits, OpType)}}")
lines.append("OPERANDS = {")
def fmt_val(v):
@@ -470,7 +289,7 @@ def write_operands(types: dict, enums: dict, arch: str, path: pathlib.Path) -> N
lines.append("}")
with open(path, "w") as f: f.write("\n".join(lines))
def write_pcode(pcode: dict[tuple[str, int], str], enums: dict[str, dict[int, str]], arch: str, path: pathlib.Path) -> None:
def write_pcode(pcode: dict[tuple[str, int], str], enums: dict[str, dict[int, str]], arch: str, path: str):
"""Write str_pcode.py file from extracted pseudocode."""
entries: list[tuple[str, str, int, str]] = []
for fmt_name, ops in enums.items():
@@ -481,7 +300,7 @@ def write_pcode(pcode: dict[tuple[str, int], str], enums: dict[str, dict[int, st
entries.append((f"{fmt_name}Op", f"{name}{msuf}", opcode, pcode[(name, opcode)]))
enum_names = sorted(set(e[0] for e in entries))
lines = ["# autogenerated from AMD ISA PDF - do not edit", "# ruff: noqa: E501",
f"from tinygrad.runtime.autogen.amd.{arch}.enum import {', '.join(enum_names)}", "", "PCODE = {"]
f"from extra.assembly.amd.autogen.{arch}.enum import {', '.join(enum_names)}", "", "PCODE = {"]
for enum_name, name, opcode, code in sorted(entries, key=lambda x: (x[0], x[2])):
lines.append(f" {enum_name}.{name}: {code!r},")
lines.append("}")
@@ -492,31 +311,27 @@ def write_pcode(pcode: dict[tuple[str, int], str], enums: dict[str, dict[int, st
# ═══════════════════════════════════════════════════════════════════════════════
if __name__ == "__main__":
all_fmts: dict[str, int] = {}
all_op_types: set[str] = set()
arch_data: dict[str, dict] = {}
import pathlib
all_fmts, all_op_types, arch_data = {}, set(), {}
# First pass: parse XML for all architectures
for arch, cfg in ARCHS.items():
print(f"Parsing XML: {cfg['xml']} -> {arch}")
encodings, enums, types, fmts, op_types_set, suffix_only_ops = parse_xml(cfg["xml"])
encodings, enums, types, fmts, op_types_set = parse_xml(cfg["xml"], arch)
for fmt, ops in FIXES.get(arch, {}).items(): enums.setdefault(fmt, {}).update(ops)
for fmt, fields in FIELD_FIXES.get(arch, {}).items():
if fmt in encodings: encodings[fmt] = (encodings[fmt][0] + fields, encodings[fmt][1])
arch_data[arch] = {"encodings": encodings, "enums": enums, "types": types, "suffix_only_ops": suffix_only_ops}
arch_data[arch] = {"encodings": encodings, "enums": enums, "types": types}
for fmt, bits in fmts.items():
assert fmt not in all_fmts or all_fmts[fmt] == bits, f"FMT_BITS mismatch for {fmt}: {all_fmts[fmt]} vs {bits}"
all_fmts[fmt] = bits
all_op_types.update(op_types_set)
# Write common.py
autogen_base = pathlib.Path(__file__).parents[2] / "runtime" / "autogen" / "amd"
common_path = autogen_base / "common.py"
common_path = pathlib.Path(__file__).parent / "autogen" / "common.py"
write_common(all_fmts, all_op_types, common_path)
print(f"Wrote common.py: {len(all_fmts)} formats, {len(all_op_types)} op types")
# Write per-arch files from XML
for arch, data in arch_data.items():
base = autogen_base / arch
base = pathlib.Path(__file__).parent / "autogen" / arch
write_enum(data["enums"], base / "enum.py")
write_ins(data["encodings"], data["enums"], data["suffix_only_ops"], data["types"], arch, base / "ins.py")
write_ins(data["encodings"], data["enums"], arch, base / "ins.py")
write_operands(data["types"], data["enums"], arch, base / "operands.py")
print(f" {arch}: {len(data['encodings'])} encodings, {sum(len(v) for v in data['enums'].values())} instructions")
# Second pass: parse PDFs and write pcode
@@ -525,6 +340,6 @@ if __name__ == "__main__":
pages = extract_pdf_text(cfg["pdf"])
name_to_op = {name: op for ops in arch_data[arch]["enums"].values() for op, name in ops.items()}
pcode = extract_pcode(pages, name_to_op)
base = autogen_base / arch
base = pathlib.Path(__file__).parent / "autogen" / arch
write_pcode(pcode, arch_data[arch]["enums"], arch, base / "str_pcode.py")
print(f" {arch}: {len(pcode)} pcode entries")
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -1,6 +1,6 @@
# autogenerated from AMD ISA PDF - do not edit
# ruff: noqa: E501
from tinygrad.runtime.autogen.amd.cdna.enum import DSOp, FLATOp, GLOBALOp, MTBUFOp, MUBUFOp, SCRATCHOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp
from extra.assembly.amd.autogen.cdna.enum import DSOp, FLATOp, GLOBALOp, MTBUFOp, MUBUFOp, SCRATCHOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VOP1Op, VOP2Op, VOP3AOp, VOP3BOp, VOP3POp, VOPCOp
PCODE = {
DSOp.DS_ADD_U32: 'addr = CalcDsAddr(ADDR.b32, OFFSET0.b32, OFFSET1.b32);\ntmp = MEM[addr].u32;\nMEM[addr].u32 += DATA.u32;\nRETURN_DATA.u32 = tmp',
@@ -722,418 +722,428 @@ PCODE = {
VOP2Op.V_FMAC_F32_E32: 'D0.f32 = fma(S0.f32, S1.f32, D0.f32)',
VOP2Op.V_PK_FMAC_F16_E32: 'D0[15 : 0].f16 = fma(S0[15 : 0].f16, S1[15 : 0].f16, D0[15 : 0].f16);\nD0[31 : 16].f16 = fma(S0[31 : 16].f16, S1[31 : 16].f16, D0[31 : 16].f16)',
VOP2Op.V_XNOR_B32_E32: 'D0.u32 = ~(S0.u32 ^ S1.u32)',
VOP3Op.V_CMP_CLASS_F32_E64: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_CLASS_F32_E64: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3Op.V_CMP_CLASS_F64_E64: "declare result : 1'U;\nif isSignalNAN(S0.f64) then\nresult = S1.u32[0]\nelsif isQuietNAN(S0.f64) then\nresult = S1.u32[1]\nelsif exponent(S0.f64) == 2047 then\n// +-INF\nresult = S1.u32[sign(S0.f64) ? 2 : 9]\nelsif exponent(S0.f64) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f64) ? 3 : 8]\nelsif abs(S0.f64) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f64) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f64) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_CLASS_F64_E64: "declare result : 1'U;\nif isSignalNAN(S0.f64) then\nresult = S1.u32[0]\nelsif isQuietNAN(S0.f64) then\nresult = S1.u32[1]\nelsif exponent(S0.f64) == 2047 then\n// +-INF\nresult = S1.u32[sign(S0.f64) ? 2 : 9]\nelsif exponent(S0.f64) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f64) ? 3 : 8]\nelsif abs(S0.f64) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f64) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f64) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3Op.V_CMP_CLASS_F16_E64: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f16)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f16)) then\nresult = S1.u32[1]\nelsif exponent(S0.f16) == 31 then\n// +-INF\nresult = S1.u32[sign(S0.f16) ? 2 : 9]\nelsif exponent(S0.f16) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f16) ? 3 : 8]\nelsif 64'F(abs(S0.f16)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f16) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f16) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_CLASS_F16_E64: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f16)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f16)) then\nresult = S1.u32[1]\nelsif exponent(S0.f16) == 31 then\n// +-INF\nresult = S1.u32[sign(S0.f16) ? 2 : 9]\nelsif exponent(S0.f16) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f16) ? 3 : 8]\nelsif 64'F(abs(S0.f16)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f16) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f16) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3Op.V_CMP_F_F16_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_F16_E64: 'D0.u64[laneId] = S0.f16 < S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_F16_E64: 'D0.u64[laneId] = S0.f16 == S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_F16_E64: 'D0.u64[laneId] = S0.f16 <= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_F16_E64: 'D0.u64[laneId] = S0.f16 > S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LG_F16_E64: 'D0.u64[laneId] = S0.f16 <> S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_F16_E64: 'D0.u64[laneId] = S0.f16 >= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_O_F16_E64: "D0.u64[laneId] = (!isNAN(64'F(S0.f16)) && !isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_U_F16_E64: "D0.u64[laneId] = (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_NGE_F16_E64: 'D0.u64[laneId] = !(S0.f16 >= S1.f16);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLG_F16_E64: 'D0.u64[laneId] = !(S0.f16 <> S1.f16);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NGT_F16_E64: 'D0.u64[laneId] = !(S0.f16 > S1.f16);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLE_F16_E64: 'D0.u64[laneId] = !(S0.f16 <= S1.f16);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NEQ_F16_E64: 'D0.u64[laneId] = !(S0.f16 == S1.f16);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLT_F16_E64: 'D0.u64[laneId] = !(S0.f16 < S1.f16);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_TRU_F16_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_F16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 < S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 == S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 <= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 > S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LG_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 <> S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 >= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_O_F16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(64'F(S0.f16)) && !isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_U_F16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_NGE_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 >= S1.f16);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLG_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 <> S1.f16);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NGT_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 > S1.f16);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLE_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 <= S1.f16);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NEQ_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 == S1.f16);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLT_F16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 < S1.f16);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_TRU_F16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_F32_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_F32_E64: 'D0.u64[laneId] = S0.f32 < S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_F32_E64: 'D0.u64[laneId] = S0.f32 == S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_F32_E64: 'D0.u64[laneId] = S0.f32 <= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_F32_E64: 'D0.u64[laneId] = S0.f32 > S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LG_F32_E64: 'D0.u64[laneId] = S0.f32 <> S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_F32_E64: 'D0.u64[laneId] = S0.f32 >= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_O_F32_E64: "D0.u64[laneId] = (!isNAN(64'F(S0.f32)) && !isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_U_F32_E64: "D0.u64[laneId] = (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_NGE_F32_E64: 'D0.u64[laneId] = !(S0.f32 >= S1.f32);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLG_F32_E64: 'D0.u64[laneId] = !(S0.f32 <> S1.f32);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NGT_F32_E64: 'D0.u64[laneId] = !(S0.f32 > S1.f32);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLE_F32_E64: 'D0.u64[laneId] = !(S0.f32 <= S1.f32);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NEQ_F32_E64: 'D0.u64[laneId] = !(S0.f32 == S1.f32);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLT_F32_E64: 'D0.u64[laneId] = !(S0.f32 < S1.f32);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_TRU_F32_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_F32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 < S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 == S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 <= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 > S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LG_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 <> S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 >= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_O_F32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(64'F(S0.f32)) && !isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_U_F32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_NGE_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 >= S1.f32);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLG_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 <> S1.f32);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NGT_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 > S1.f32);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLE_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 <= S1.f32);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NEQ_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 == S1.f32);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLT_F32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 < S1.f32);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_TRU_F32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_F64_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_F64_E64: 'D0.u64[laneId] = S0.f64 < S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_F64_E64: 'D0.u64[laneId] = S0.f64 == S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_F64_E64: 'D0.u64[laneId] = S0.f64 <= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_F64_E64: 'D0.u64[laneId] = S0.f64 > S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LG_F64_E64: 'D0.u64[laneId] = S0.f64 <> S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_F64_E64: 'D0.u64[laneId] = S0.f64 >= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_O_F64_E64: 'D0.u64[laneId] = (!isNAN(S0.f64) && !isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_U_F64_E64: 'D0.u64[laneId] = (isNAN(S0.f64) || isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NGE_F64_E64: 'D0.u64[laneId] = !(S0.f64 >= S1.f64);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLG_F64_E64: 'D0.u64[laneId] = !(S0.f64 <> S1.f64);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NGT_F64_E64: 'D0.u64[laneId] = !(S0.f64 > S1.f64);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLE_F64_E64: 'D0.u64[laneId] = !(S0.f64 <= S1.f64);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NEQ_F64_E64: 'D0.u64[laneId] = !(S0.f64 == S1.f64);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NLT_F64_E64: 'D0.u64[laneId] = !(S0.f64 < S1.f64);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_TRU_F64_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_F64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 < S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 == S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 <= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 > S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LG_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 <> S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 >= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_O_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(S0.f64) && !isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_U_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(S0.f64) || isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NGE_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 >= S1.f64);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLG_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 <> S1.f64);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NGT_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 > S1.f64);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLE_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 <= S1.f64);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NEQ_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 == S1.f64);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NLT_F64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 < S1.f64);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_TRU_F64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_I16_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_I16_E64: 'D0.u64[laneId] = S0.i16 < S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_I16_E64: 'D0.u64[laneId] = S0.i16 == S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_I16_E64: 'D0.u64[laneId] = S0.i16 <= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_I16_E64: 'D0.u64[laneId] = S0.i16 > S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_I16_E64: 'D0.u64[laneId] = S0.i16 <> S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_I16_E64: 'D0.u64[laneId] = S0.i16 >= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_I16_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_U16_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_U16_E64: 'D0.u64[laneId] = S0.u16 < S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_U16_E64: 'D0.u64[laneId] = S0.u16 == S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_U16_E64: 'D0.u64[laneId] = S0.u16 <= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_U16_E64: 'D0.u64[laneId] = S0.u16 > S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_U16_E64: 'D0.u64[laneId] = S0.u16 <> S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_U16_E64: 'D0.u64[laneId] = S0.u16 >= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_U16_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_I16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 < S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 == S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 <= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 > S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 <> S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_I16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 >= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_I16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_U16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 < S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 == S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 <= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 > S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 <> S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_U16_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 >= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_U16_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_I32_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_I32_E64: 'D0.u64[laneId] = S0.i32 < S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_I32_E64: 'D0.u64[laneId] = S0.i32 == S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_I32_E64: 'D0.u64[laneId] = S0.i32 <= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_I32_E64: 'D0.u64[laneId] = S0.i32 > S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_I32_E64: 'D0.u64[laneId] = S0.i32 <> S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_I32_E64: 'D0.u64[laneId] = S0.i32 >= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_I32_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_U32_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_U32_E64: 'D0.u64[laneId] = S0.u32 < S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_U32_E64: 'D0.u64[laneId] = S0.u32 == S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_U32_E64: 'D0.u64[laneId] = S0.u32 <= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_U32_E64: 'D0.u64[laneId] = S0.u32 > S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_U32_E64: 'D0.u64[laneId] = S0.u32 <> S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_U32_E64: 'D0.u64[laneId] = S0.u32 >= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_U32_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_I32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 < S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 == S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 <= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 > S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 <> S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_I32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 >= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_I32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_U32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 < S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 == S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 <= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 > S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 <> S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_U32_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 >= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_U32_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_I64_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_I64_E64: 'D0.u64[laneId] = S0.i64 < S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_I64_E64: 'D0.u64[laneId] = S0.i64 == S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_I64_E64: 'D0.u64[laneId] = S0.i64 <= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_I64_E64: 'D0.u64[laneId] = S0.i64 > S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_I64_E64: 'D0.u64[laneId] = S0.i64 <> S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_I64_E64: 'D0.u64[laneId] = S0.i64 >= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_I64_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_F_U64_E64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMP_LT_U64_E64: 'D0.u64[laneId] = S0.u64 < S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_EQ_U64_E64: 'D0.u64[laneId] = S0.u64 == S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_LE_U64_E64: 'D0.u64[laneId] = S0.u64 <= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GT_U64_E64: 'D0.u64[laneId] = S0.u64 > S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_NE_U64_E64: 'D0.u64[laneId] = S0.u64 <> S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_GE_U64_E64: 'D0.u64[laneId] = S0.u64 >= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMP_T_U64_E64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_I64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 < S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 == S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 <= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 > S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 <> S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_I64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 >= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_I64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_F_U64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CMPX_LT_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 < S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_EQ_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 == S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_LE_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 <= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GT_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 > S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_NE_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 <> S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_GE_U64_E64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 >= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3Op.V_CMPX_T_U64_E64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3Op.V_CNDMASK_B32_E64: 'D0.u32 = VCC.u64[laneId] ? S1.u32 : S0.u32',
VOP3Op.V_ADD_F32_E64: 'D0.f32 = S0.f32 + S1.f32',
VOP3Op.V_SUB_F32_E64: 'D0.f32 = S0.f32 - S1.f32',
VOP3Op.V_SUBREV_F32_E64: 'D0.f32 = S1.f32 - S0.f32',
VOP3Op.V_FMAC_F64_E64: 'D0.f64 = fma(S0.f64, S1.f64, D0.f64)',
VOP3Op.V_MUL_F32_E64: 'D0.f32 = S0.f32 * S1.f32',
VOP3Op.V_MUL_I32_I24_E64: "D0.i32 = 32'I(S0.i24) * 32'I(S1.i24)",
VOP3Op.V_MUL_HI_I32_I24_E64: "D0.i32 = 32'I((64'I(S0.i24) * 64'I(S1.i24)) >> 32U)",
VOP3Op.V_MUL_U32_U24_E64: "D0.u32 = 32'U(S0.u24) * 32'U(S1.u24)",
VOP3Op.V_MUL_HI_U32_U24_E64: "D0.u32 = 32'U((64'U(S0.u24) * 64'U(S1.u24)) >> 32U)",
VOP3Op.V_MIN_F32_E64: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S0.f32)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif isNAN(64'F(S0.f32)) then\nD0.f32 = S1.f32\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == +0.0) && (64'F(S1.f32) == -0.0)) then\nD0.f32 = S1.f32\nelsif ((64'F(S0.f32) == -0.0) && (64'F(S1.f32) == +0.0)) then\nD0.f32 = S0.f32\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F32.\nD0.f32 = S0.f32 < S1.f32 ? S0.f32 : S1.f32\nendif",
VOP3Op.V_MAX_F32_E64: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S0.f32)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif isNAN(64'F(S0.f32)) then\nD0.f32 = S1.f32\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == +0.0) && (64'F(S1.f32) == -0.0)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == -0.0) && (64'F(S1.f32) == +0.0)) then\nD0.f32 = S1.f32\nelsif WAVE_MODE.IEEE then\nD0.f32 = S0.f32 >= S1.f32 ? S0.f32 : S1.f32\nelse\nD0.f32 = S0.f32 > S1.f32 ? S0.f32 : S1.f32\nendif",
VOP3Op.V_MIN_I32_E64: 'D0.i32 = S0.i32 < S1.i32 ? S0.i32 : S1.i32',
VOP3Op.V_MAX_I32_E64: 'D0.i32 = S0.i32 >= S1.i32 ? S0.i32 : S1.i32',
VOP3Op.V_MIN_U32_E64: 'D0.u32 = S0.u32 < S1.u32 ? S0.u32 : S1.u32',
VOP3Op.V_MAX_U32_E64: 'D0.u32 = S0.u32 >= S1.u32 ? S0.u32 : S1.u32',
VOP3Op.V_LSHRREV_B32_E64: 'D0.u32 = (S1.u32 >> S0[4 : 0].u32)',
VOP3Op.V_ASHRREV_I32_E64: 'D0.i32 = (S1.i32 >> S0[4 : 0].u32)',
VOP3Op.V_LSHLREV_B32_E64: 'D0.u32 = (S1.u32 << S0[4 : 0].u32)',
VOP3Op.V_AND_B32_E64: 'D0.u32 = (S0.u32 & S1.u32)',
VOP3Op.V_OR_B32_E64: 'D0.u32 = (S0.u32 | S1.u32)',
VOP3Op.V_XOR_B32_E64: 'D0.u32 = (S0.u32 ^ S1.u32)',
VOP3Op.V_DOT2C_F32_BF16_E64: 'tmp = D0.f32;\ntmp += bf16_to_f32(S0[15 : 0].bf16) * bf16_to_f32(S1[15 : 0].bf16);\ntmp += bf16_to_f32(S0[31 : 16].bf16) * bf16_to_f32(S1[31 : 16].bf16);\nD0.f32 = tmp',
VOP3Op.V_ADD_F16_E64: 'D0.f16 = S0.f16 + S1.f16',
VOP3Op.V_SUB_F16_E64: 'D0.f16 = S0.f16 - S1.f16',
VOP3Op.V_SUBREV_F16_E64: 'D0.f16 = S1.f16 - S0.f16',
VOP3Op.V_MUL_F16_E64: 'D0.f16 = S0.f16 * S1.f16',
VOP3Op.V_MAC_F16_E64: "tmp = S0.f16 * S1.f16 + D0.f16;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3Op.V_ADD_U16_E64: 'D0.u16 = S0.u16 + S1.u16',
VOP3Op.V_SUB_U16_E64: 'D0.u16 = S0.u16 - S1.u16',
VOP3Op.V_SUBREV_U16_E64: 'D0.u16 = S1.u16 - S0.u16',
VOP3Op.V_MUL_LO_U16_E64: 'D0.u16 = S0.u16 * S1.u16',
VOP3Op.V_LSHLREV_B16_E64: 'D0.u16 = (S1.u16 << S0[3 : 0].u32)',
VOP3Op.V_LSHRREV_B16_E64: 'D0.u16 = (S1.u16 >> S0[3 : 0].u32)',
VOP3Op.V_ASHRREV_I16_E64: 'D0.i16 = (S1.i16 >> S0[3 : 0].u32)',
VOP3Op.V_MAX_F16_E64: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S0.f16)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif isNAN(64'F(S0.f16)) then\nD0.f16 = S1.f16\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == +0.0) && (64'F(S1.f16) == -0.0)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == -0.0) && (64'F(S1.f16) == +0.0)) then\nD0.f16 = S1.f16\nelsif WAVE_MODE.IEEE then\nD0.f16 = S0.f16 >= S1.f16 ? S0.f16 : S1.f16\nelse\nD0.f16 = S0.f16 > S1.f16 ? S0.f16 : S1.f16\nendif",
VOP3Op.V_MIN_F16_E64: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S0.f16)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif isNAN(64'F(S0.f16)) then\nD0.f16 = S1.f16\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == +0.0) && (64'F(S1.f16) == -0.0)) then\nD0.f16 = S1.f16\nelsif ((64'F(S0.f16) == -0.0) && (64'F(S1.f16) == +0.0)) then\nD0.f16 = S0.f16\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F16.\nD0.f16 = S0.f16 < S1.f16 ? S0.f16 : S1.f16\nendif",
VOP3Op.V_MAX_U16_E64: 'D0.u16 = S0.u16 >= S1.u16 ? S0.u16 : S1.u16',
VOP3Op.V_MAX_I16_E64: 'D0.i16 = S0.i16 >= S1.i16 ? S0.i16 : S1.i16',
VOP3Op.V_MIN_U16_E64: 'D0.u16 = S0.u16 < S1.u16 ? S0.u16 : S1.u16',
VOP3Op.V_MIN_I16_E64: 'D0.i16 = S0.i16 < S1.i16 ? S0.i16 : S1.i16',
VOP3Op.V_LDEXP_F16_E64: "D0.f16 = S0.f16 * 16'F(2.0F ** 32'I(S1.i16))",
VOP3Op.V_ADD_U32_E64: 'D0.u32 = S0.u32 + S1.u32',
VOP3Op.V_SUB_U32_E64: 'D0.u32 = S0.u32 - S1.u32',
VOP3Op.V_SUBREV_U32_E64: 'D0.u32 = S1.u32 - S0.u32',
VOP3Op.V_DOT2C_F32_F16_E64: 'tmp = D0.f32;\ntmp += f16_to_f32(S0[15 : 0].f16) * f16_to_f32(S1[15 : 0].f16);\ntmp += f16_to_f32(S0[31 : 16].f16) * f16_to_f32(S1[31 : 16].f16);\nD0.f32 = tmp',
VOP3Op.V_DOT2C_I32_I16_E64: 'tmp = D0.i32;\ntmp += i16_to_i32(S0[15 : 0].i16) * i16_to_i32(S1[15 : 0].i16);\ntmp += i16_to_i32(S0[31 : 16].i16) * i16_to_i32(S1[31 : 16].i16);\nD0.i32 = tmp',
VOP3Op.V_DOT4C_I32_I8_E64: 'tmp = D0.i32;\ntmp += i8_to_i32(S0[7 : 0].i8) * i8_to_i32(S1[7 : 0].i8);\ntmp += i8_to_i32(S0[15 : 8].i8) * i8_to_i32(S1[15 : 8].i8);\ntmp += i8_to_i32(S0[23 : 16].i8) * i8_to_i32(S1[23 : 16].i8);\ntmp += i8_to_i32(S0[31 : 24].i8) * i8_to_i32(S1[31 : 24].i8);\nD0.i32 = tmp',
VOP3Op.V_DOT8C_I32_I4_E64: 'tmp = D0.i32;\ntmp += i4_to_i32(S0[3 : 0].i4) * i4_to_i32(S1[3 : 0].i4);\ntmp += i4_to_i32(S0[7 : 4].i4) * i4_to_i32(S1[7 : 4].i4);\ntmp += i4_to_i32(S0[11 : 8].i4) * i4_to_i32(S1[11 : 8].i4);\ntmp += i4_to_i32(S0[15 : 12].i4) * i4_to_i32(S1[15 : 12].i4);\ntmp += i4_to_i32(S0[19 : 16].i4) * i4_to_i32(S1[19 : 16].i4);\ntmp += i4_to_i32(S0[23 : 20].i4) * i4_to_i32(S1[23 : 20].i4);\ntmp += i4_to_i32(S0[27 : 24].i4) * i4_to_i32(S1[27 : 24].i4);\ntmp += i4_to_i32(S0[31 : 28].i4) * i4_to_i32(S1[31 : 28].i4);\nD0.i32 = tmp',
VOP3Op.V_FMAC_F32_E64: 'D0.f32 = fma(S0.f32, S1.f32, D0.f32)',
VOP3Op.V_PK_FMAC_F16_E64: 'D0[15 : 0].f16 = fma(S0[15 : 0].f16, S1[15 : 0].f16, D0[15 : 0].f16);\nD0[31 : 16].f16 = fma(S0[31 : 16].f16, S1[31 : 16].f16, D0[31 : 16].f16)',
VOP3Op.V_XNOR_B32_E64: 'D0.u32 = ~(S0.u32 ^ S1.u32)',
VOP3Op.V_MAD_I32_I24_E64: "D0.i32 = 32'I(S0.i24) * 32'I(S1.i24) + S2.i32",
VOP3Op.V_MAD_U32_U24_E64: "D0.u32 = 32'U(S0.u24) * 32'U(S1.u24) + S2.u32",
VOP3Op.V_CUBEID_F32_E64: '// Set D0.f = cubemap face ID ({0.0, 1.0, ..., 5.0}).\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nif S2.f32 < 0.0F then\nD0.f32 = 5.0F\nelse\nD0.f32 = 4.0F\nendif\nelsif abs(S1.f32) >= abs(S0.f32) then\nif S1.f32 < 0.0F then\nD0.f32 = 3.0F\nelse\nD0.f32 = 2.0F\nendif\nelse\nif S0.f32 < 0.0F then\nD0.f32 = 1.0F\nelse\nD0.f32 = 0.0F\nendif\nendif',
VOP3Op.V_CUBESC_F32_E64: '// D0.f = cubemap S coordinate.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nif S2.f32 < 0.0F then\nD0.f32 = -S0.f32\nelse\nD0.f32 = S0.f32\nendif\nelsif abs(S1.f32) >= abs(S0.f32) then\nD0.f32 = S0.f32\nelse\nif S0.f32 < 0.0F then\nD0.f32 = S2.f32\nelse\nD0.f32 = -S2.f32\nendif\nendif',
VOP3Op.V_CUBETC_F32_E64: '// D0.f = cubemap T coordinate.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nD0.f32 = -S1.f32\nelsif abs(S1.f32) >= abs(S0.f32) then\nif S1.f32 < 0.0F then\nD0.f32 = -S2.f32\nelse\nD0.f32 = S2.f32\nendif\nelse\nD0.f32 = -S1.f32\nendif',
VOP3Op.V_CUBEMA_F32_E64: '// D0.f = 2.0 * cubemap major axis.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nD0.f32 = S2.f32 * 2.0F\nelsif abs(S1.f32) >= abs(S0.f32) then\nD0.f32 = S1.f32 * 2.0F\nelse\nD0.f32 = S0.f32 * 2.0F\nendif',
VOP3Op.V_BFE_U32_E64: 'D0.u32 = ((S0.u32 >> S1[4 : 0].u32) & ((1U << S2[4 : 0].u32) - 1U))',
VOP3Op.V_BFE_I32_E64: 'tmp.i32 = ((S0.i32 >> S1[4 : 0].u32) & ((1 << S2[4 : 0].u32) - 1));\nD0.i32 = signext_from_bit(tmp.i32, S2[4 : 0].u32)',
VOP3Op.V_BFI_B32_E64: 'D0.u32 = ((S0.u32 & S1.u32) | (~S0.u32 & S2.u32))',
VOP3Op.V_FMA_F32_E64: 'D0.f32 = fma(S0.f32, S1.f32, S2.f32)',
VOP3Op.V_FMA_F64_E64: 'D0.f64 = fma(S0.f64, S1.f64, S2.f64)',
VOP3Op.V_LERP_U8_E64: 'tmp = ((S0.u32[31 : 24] + S1.u32[31 : 24] + S2.u32[24].u8) >> 1U << 24U);\ntmp += ((S0.u32[23 : 16] + S1.u32[23 : 16] + S2.u32[16].u8) >> 1U << 16U);\ntmp += ((S0.u32[15 : 8] + S1.u32[15 : 8] + S2.u32[8].u8) >> 1U << 8U);\ntmp += ((S0.u32[7 : 0] + S1.u32[7 : 0] + S2.u32[0].u8) >> 1U);\nD0.u32 = tmp.u32',
VOP3Op.V_ALIGNBIT_B32_E64: "D0.u32 = 32'U(({ S0.u32, S1.u32 } >> S2.u32[4 : 0]) & 0xffffffffLL)",
VOP3Op.V_ALIGNBYTE_B32_E64: "D0.u32 = 32'U(({ S0.u32, S1.u32 } >> (S2.u32[1 : 0] * 8U)) & 0xffffffffLL)",
VOP3Op.V_MIN3_F32_E64: 'D0.f32 = v_min_f32(v_min_f32(S0.f32, S1.f32), S2.f32)',
VOP3Op.V_MIN3_I32_E64: 'D0.i32 = v_min_i32(v_min_i32(S0.i32, S1.i32), S2.i32)',
VOP3Op.V_MIN3_U32_E64: 'D0.u32 = v_min_u32(v_min_u32(S0.u32, S1.u32), S2.u32)',
VOP3Op.V_MAX3_F32_E64: 'D0.f32 = v_max_f32(v_max_f32(S0.f32, S1.f32), S2.f32)',
VOP3Op.V_MAX3_I32_E64: 'D0.i32 = v_max_i32(v_max_i32(S0.i32, S1.i32), S2.i32)',
VOP3Op.V_MAX3_U32_E64: 'D0.u32 = v_max_u32(v_max_u32(S0.u32, S1.u32), S2.u32)',
VOP3Op.V_MED3_F32_E64: "if (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)) || isNAN(64'F(S2.f32))) then\nD0.f32 = v_min3_f32(S0.f32, S1.f32, S2.f32)\nelsif v_max3_f32(S0.f32, S1.f32, S2.f32) == S0.f32 then\nD0.f32 = v_max_f32(S1.f32, S2.f32)\nelsif v_max3_f32(S0.f32, S1.f32, S2.f32) == S1.f32 then\nD0.f32 = v_max_f32(S0.f32, S2.f32)\nelse\nD0.f32 = v_max_f32(S0.f32, S1.f32)\nendif",
VOP3Op.V_MED3_I32_E64: 'if v_max3_i32(S0.i32, S1.i32, S2.i32) == S0.i32 then\nD0.i32 = v_max_i32(S1.i32, S2.i32)\nelsif v_max3_i32(S0.i32, S1.i32, S2.i32) == S1.i32 then\nD0.i32 = v_max_i32(S0.i32, S2.i32)\nelse\nD0.i32 = v_max_i32(S0.i32, S1.i32)\nendif',
VOP3Op.V_MED3_U32_E64: 'if v_max3_u32(S0.u32, S1.u32, S2.u32) == S0.u32 then\nD0.u32 = v_max_u32(S1.u32, S2.u32)\nelsif v_max3_u32(S0.u32, S1.u32, S2.u32) == S1.u32 then\nD0.u32 = v_max_u32(S0.u32, S2.u32)\nelse\nD0.u32 = v_max_u32(S0.u32, S1.u32)\nendif',
VOP3Op.V_SAD_U8_E64: "ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += 32'U(ABSDIFF(S0.u32[7 : 0], S1.u32[7 : 0]));\ntmp += 32'U(ABSDIFF(S0.u32[15 : 8], S1.u32[15 : 8]));\ntmp += 32'U(ABSDIFF(S0.u32[23 : 16], S1.u32[23 : 16]));\ntmp += 32'U(ABSDIFF(S0.u32[31 : 24], S1.u32[31 : 24]));\nD0.u32 = tmp",
VOP3Op.V_SAD_HI_U8_E64: "D0.u32 = (32'U(v_sad_u8(S0, S1, 0U)) << 16U) + S2.u32",
VOP3Op.V_SAD_U16_E64: 'ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += ABSDIFF(S0[15 : 0].u16, S1[15 : 0].u16);\ntmp += ABSDIFF(S0[31 : 16].u16, S1[31 : 16].u16);\nD0.u32 = tmp',
VOP3Op.V_SAD_U32_E64: 'ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\nD0.u32 = ABSDIFF(S0.u32, S1.u32) + S2.u32',
VOP3Op.V_CVT_PK_U8_F32_E64: "tmp = (S2.u32 & 32'U(~(0xff << (S1.u32[1 : 0].u32 * 8U))));\ntmp = (tmp | ((32'U(f32_to_u8(S0.f32)) & 255U) << (S1.u32[1 : 0].u32 * 8U)));\nD0.u32 = tmp",
VOP3Op.V_DIV_FIXUP_F32_E64: "sign_out = (sign(S1.f32) ^ sign(S2.f32));\nif isNAN(64'F(S2.f32)) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S2.f32)))\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif ((64'F(S1.f32) == 0.0) && (64'F(S2.f32) == 0.0)) then\n// 0/0\nD0.f32 = 32'F(0xffc00000)\nelsif ((64'F(abs(S1.f32)) == +INF) && (64'F(abs(S2.f32)) == +INF)) then\n// inf/inf\nD0.f32 = 32'F(0xffc00000)\nelsif ((64'F(S1.f32) == 0.0) || (64'F(abs(S2.f32)) == +INF)) then\n// x/0, or inf/y\nD0.f32 = sign_out ? -INF.f32 : +INF.f32\nelsif ((64'F(abs(S1.f32)) == +INF) || (64'F(S2.f32) == 0.0)) then\n// x/inf, 0/y\nD0.f32 = sign_out ? -0.0F : 0.0F\nelsif exponent(S2.f32) - exponent(S1.f32) < -150 then\nD0.f32 = sign_out ? -UNDERFLOW_F32 : UNDERFLOW_F32\nelsif exponent(S1.f32) == 255 then\nD0.f32 = sign_out ? -OVERFLOW_F32 : OVERFLOW_F32\nelse\nD0.f32 = sign_out ? -abs(S0.f32) : abs(S0.f32)\nendif",
VOP3Op.V_DIV_FIXUP_F64_E64: "sign_out = (sign(S1.f64) ^ sign(S2.f64));\nif isNAN(S2.f64) then\nD0.f64 = cvtToQuietNAN(S2.f64)\nelsif isNAN(S1.f64) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif ((S1.f64 == 0.0) && (S2.f64 == 0.0)) then\n// 0/0\nD0.f64 = 64'F(0xfff8000000000000LL)\nelsif ((abs(S1.f64) == +INF) && (abs(S2.f64) == +INF)) then\n// inf/inf\nD0.f64 = 64'F(0xfff8000000000000LL)\nelsif ((S1.f64 == 0.0) || (abs(S2.f64) == +INF)) then\n// x/0, or inf/y\nD0.f64 = sign_out ? -INF : +INF\nelsif ((abs(S1.f64) == +INF) || (S2.f64 == 0.0)) then\n// x/inf, 0/y\nD0.f64 = sign_out ? -0.0 : 0.0\nelsif exponent(S2.f64) - exponent(S1.f64) < -1075 then\nD0.f64 = sign_out ? -UNDERFLOW_F64 : UNDERFLOW_F64\nelsif exponent(S1.f64) == 2047 then\nD0.f64 = sign_out ? -OVERFLOW_F64 : OVERFLOW_F64\nelse\nD0.f64 = sign_out ? -abs(S0.f64) : abs(S0.f64)\nendif",
VOP3Op.V_DIV_FMAS_F32_E64: 'if VCC.u64[laneId] then\nD0.f32 = 2.0F ** 32 * fma(S0.f32, S1.f32, S2.f32)\nelse\nD0.f32 = fma(S0.f32, S1.f32, S2.f32)\nendif',
VOP3Op.V_DIV_FMAS_F64_E64: 'if VCC.u64[laneId] then\nD0.f64 = 2.0 ** 64 * fma(S0.f64, S1.f64, S2.f64)\nelse\nD0.f64 = fma(S0.f64, S1.f64, S2.f64)\nendif',
VOP3Op.V_MSAD_U8_E64: "ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += S1.u32[7 : 0] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[7 : 0], S1.u32[7 : 0]));\ntmp += S1.u32[15 : 8] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[15 : 8], S1.u32[15 : 8]));\ntmp += S1.u32[23 : 16] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[23 : 16], S1.u32[23 : 16]));\ntmp += S1.u32[31 : 24] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[31 : 24], S1.u32[31 : 24]));\nD0.u32 = tmp",
VOP3Op.V_QSAD_PK_U16_U8_E64: "tmp[63 : 48] = 16'B(v_sad_u8(S0[55 : 24], S1[31 : 0], S2[63 : 48].u32));\ntmp[47 : 32] = 16'B(v_sad_u8(S0[47 : 16], S1[31 : 0], S2[47 : 32].u32));\ntmp[31 : 16] = 16'B(v_sad_u8(S0[39 : 8], S1[31 : 0], S2[31 : 16].u32));\ntmp[15 : 0] = 16'B(v_sad_u8(S0[31 : 0], S1[31 : 0], S2[15 : 0].u32));\nD0.b64 = tmp.b64",
VOP3Op.V_MQSAD_PK_U16_U8_E64: "tmp[63 : 48] = 16'B(v_msad_u8(S0[55 : 24], S1[31 : 0], S2[63 : 48].u32));\ntmp[47 : 32] = 16'B(v_msad_u8(S0[47 : 16], S1[31 : 0], S2[47 : 32].u32));\ntmp[31 : 16] = 16'B(v_msad_u8(S0[39 : 8], S1[31 : 0], S2[31 : 16].u32));\ntmp[15 : 0] = 16'B(v_msad_u8(S0[31 : 0], S1[31 : 0], S2[15 : 0].u32));\nD0.b64 = tmp.b64",
VOP3Op.V_MQSAD_U32_U8_E64: "tmp[127 : 96] = 32'B(v_msad_u8(S0[55 : 24], S1[31 : 0], S2[127 : 96].u32));\ntmp[95 : 64] = 32'B(v_msad_u8(S0[47 : 16], S1[31 : 0], S2[95 : 64].u32));\ntmp[63 : 32] = 32'B(v_msad_u8(S0[39 : 8], S1[31 : 0], S2[63 : 32].u32));\ntmp[31 : 0] = 32'B(v_msad_u8(S0[31 : 0], S1[31 : 0], S2[31 : 0].u32));\nD0.b128 = tmp.b128",
VOP3Op.V_MAD_LEGACY_F16_E64: "tmp = S0.f16 * S1.f16 + S2.f16;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3Op.V_MAD_LEGACY_U16_E64: "tmp = S0.u16 * S1.u16 + S2.u16;\nif OPSEL.u4[3] then\nD0 = { tmp.u16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.u16 }\nendif",
VOP3Op.V_MAD_LEGACY_I16_E64: "tmp = S0.i16 * S1.i16 + S2.i16;\nif OPSEL.u4[3] then\nD0 = { tmp.i16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.i16 }\nendif",
VOP3Op.V_PERM_B32_E64: "BYTE_PERMUTE = lambda(data, sel) (\ndeclare in : 8'B[8];\nfor i in 0 : 7 do\nin[i] = data[i * 8 + 7 : i * 8].b8\nendfor;\nif sel.u32 >= 13U then\nreturn 8'0xff\nelsif sel.u32 == 12U then\nreturn 8'0x0\nelsif sel.u32 == 11U then\nreturn in[7][7].b8 * 8'0xff\nelsif sel.u32 == 10U then\nreturn in[5][7].b8 * 8'0xff\nelsif sel.u32 == 9U then\nreturn in[3][7].b8 * 8'0xff\nelsif sel.u32 == 8U then\nreturn in[1][7].b8 * 8'0xff\nelse\nreturn in[sel]\nendif);\nD0[31 : 24] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[31 : 24]);\nD0[23 : 16] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[23 : 16]);\nD0[15 : 8] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[15 : 8]);\nD0[7 : 0] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[7 : 0])",
VOP3Op.V_FMA_LEGACY_F16_E64: "tmp = fma(S0.f16, S1.f16, S2.f16);\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3Op.V_DIV_FIXUP_LEGACY_F16_E64: "sign_out = (sign(S1.f16) ^ sign(S2.f16));\nif isNAN(64'F(S2.f16)) then\ntmp = cvtToQuietNAN(64'F(S2.f16))\nelsif isNAN(64'F(S1.f16)) then\ntmp = cvtToQuietNAN(64'F(S1.f16))\nelsif ((64'F(S1.f16) == 0.0) && (64'F(S2.f16) == 0.0)) then\n// 0/0\ntmp = 16'F(0xfe00)\nelsif ((64'F(abs(S1.f16)) == +INF) && (64'F(abs(S2.f16)) == +INF)) then\n// inf/inf\ntmp = 16'F(0xfe00)\nelsif ((64'F(S1.f16) == 0.0) || (64'F(abs(S2.f16)) == +INF)) then\n// x/0, or inf/y\ntmp = sign_out ? -INF : +INF\nelsif ((64'F(abs(S1.f16)) == +INF) || (64'F(S2.f16) == 0.0)) then\n// x/inf, 0/y\ntmp = sign_out ? -0.0 : 0.0\nelse\ntmp = sign_out ? -abs(S0.f16) : abs(S0.f16)\nendif;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3Op.V_CVT_PKACCUM_U8_F32_E64: "byte = S1.u32[1 : 0];\nbit = byte.u32 * 8U;\nD0.u32[bit + 7U : bit] = 32'U(f32_to_u8(S0.f32))",
VOP3Op.V_MAD_U32_U16_E64: "D0.u32 = 32'U(S0.u16) * 32'U(S1.u16) + S2.u32",
VOP3Op.V_MAD_I32_I16_E64: "D0.i32 = 32'I(S0.i16) * 32'I(S1.i16) + S2.i32",
VOP3Op.V_XAD_U32_E64: 'D0.u32 = (S0.u32 ^ S1.u32) + S2.u32',
VOP3Op.V_MIN3_F16_E64: 'D0.f16 = v_min_f16(v_min_f16(S0.f16, S1.f16), S2.f16)',
VOP3Op.V_MIN3_I16_E64: 'D0.i16 = v_min_i16(v_min_i16(S0.i16, S1.i16), S2.i16)',
VOP3Op.V_MIN3_U16_E64: 'D0.u16 = v_min_u16(v_min_u16(S0.u16, S1.u16), S2.u16)',
VOP3Op.V_MAX3_F16_E64: 'D0.f16 = v_max_f16(v_max_f16(S0.f16, S1.f16), S2.f16)',
VOP3Op.V_MAX3_I16_E64: 'D0.i16 = v_max_i16(v_max_i16(S0.i16, S1.i16), S2.i16)',
VOP3Op.V_MAX3_U16_E64: 'D0.u16 = v_max_u16(v_max_u16(S0.u16, S1.u16), S2.u16)',
VOP3Op.V_MED3_F16_E64: "if (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)) || isNAN(64'F(S2.f16))) then\nD0.f16 = v_min3_f16(S0.f16, S1.f16, S2.f16)\nelsif v_max3_f16(S0.f16, S1.f16, S2.f16) == S0.f16 then\nD0.f16 = v_max_f16(S1.f16, S2.f16)\nelsif v_max3_f16(S0.f16, S1.f16, S2.f16) == S1.f16 then\nD0.f16 = v_max_f16(S0.f16, S2.f16)\nelse\nD0.f16 = v_max_f16(S0.f16, S1.f16)\nendif",
VOP3Op.V_MED3_I16_E64: 'if v_max3_i16(S0.i16, S1.i16, S2.i16) == S0.i16 then\nD0.i16 = v_max_i16(S1.i16, S2.i16)\nelsif v_max3_i16(S0.i16, S1.i16, S2.i16) == S1.i16 then\nD0.i16 = v_max_i16(S0.i16, S2.i16)\nelse\nD0.i16 = v_max_i16(S0.i16, S1.i16)\nendif',
VOP3Op.V_MED3_U16_E64: 'if v_max3_u16(S0.u16, S1.u16, S2.u16) == S0.u16 then\nD0.u16 = v_max_u16(S1.u16, S2.u16)\nelsif v_max3_u16(S0.u16, S1.u16, S2.u16) == S1.u16 then\nD0.u16 = v_max_u16(S0.u16, S2.u16)\nelse\nD0.u16 = v_max_u16(S0.u16, S1.u16)\nendif',
VOP3Op.V_LSHL_ADD_U32_E64: 'D0.u32 = (S0.u32 << S1.u32[4 : 0].u32) + S2.u32',
VOP3Op.V_ADD_LSHL_U32_E64: 'D0.u32 = ((S0.u32 + S1.u32) << S2.u32[4 : 0].u32)',
VOP3Op.V_ADD3_U32_E64: 'D0.u32 = S0.u32 + S1.u32 + S2.u32',
VOP3Op.V_LSHL_OR_B32: 'D0.u32 = ((S0.u32 << S1.u32[4 : 0].u32) | S2.u32)',
VOP3Op.V_AND_OR_B32: 'D0.u32 = ((S0.u32 & S1.u32) | S2.u32)',
VOP3Op.V_OR3_B32: 'D0.u32 = (S0.u32 | S1.u32 | S2.u32)',
VOP3Op.V_MAD_F16: 'D0.f16 = S0.f16 * S1.f16 + S2.f16',
VOP3Op.V_MAD_U16: 'D0.u16 = S0.u16 * S1.u16 + S2.u16',
VOP3Op.V_MAD_I16: 'D0.i16 = S0.i16 * S1.i16 + S2.i16',
VOP3Op.V_FMA_F16: 'D0.f16 = fma(S0.f16, S1.f16, S2.f16)',
VOP3Op.V_DIV_FIXUP_F16: "sign_out = (sign(S1.f16) ^ sign(S2.f16));\nif isNAN(64'F(S2.f16)) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S2.f16)))\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif ((64'F(S1.f16) == 0.0) && (64'F(S2.f16) == 0.0)) then\n// 0/0\nD0.f16 = 16'F(0xfe00)\nelsif ((64'F(abs(S1.f16)) == +INF) && (64'F(abs(S2.f16)) == +INF)) then\n// inf/inf\nD0.f16 = 16'F(0xfe00)\nelsif ((64'F(S1.f16) == 0.0) || (64'F(abs(S2.f16)) == +INF)) then\n// x/0, or inf/y\nD0.f16 = sign_out ? -INF.f16 : +INF.f16\nelsif ((64'F(abs(S1.f16)) == +INF) || (64'F(S2.f16) == 0.0)) then\n// x/inf, 0/y\nD0.f16 = sign_out ? -16'0.0 : 16'0.0\nelse\nD0.f16 = sign_out ? -abs(S0.f16) : abs(S0.f16)\nendif",
VOP3Op.V_LSHL_ADD_U64: 'D0.u64 = (S0.u64 << S1.u32[2 : 0].u32) + S2.u64',
VOP3Op.V_BITOP3_B16: "TTBL = { INST.OMOD[1 : 0], INST.ABS[2 : 0], INST.NEG[2 : 0] };\ntmp = 16'0U;\ntmp = (tmp | (32'I(TTBL.b32 & 0x1) != 0 ? 16'U(~S0.b16 & ~S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x2) != 0 ? 16'U(~S0.b16 & ~S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x4) != 0 ? 16'U(~S0.b16 & S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x8) != 0 ? 16'U(~S0.b16 & S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x10) != 0 ? 16'U(S0.b16 & ~S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x20) != 0 ? 16'U(S0.b16 & ~S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x40) != 0 ? 16'U(S0.b16 & S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x80) != 0 ? 16'U(S0.b16 & S1.b16 & S2.b16) : 16'0U));\nD.b16 = tmp.b16",
VOP3Op.V_BITOP3_B32: "TTBL = { INST.OMOD[1 : 0], INST.ABS[2 : 0], INST.NEG[2 : 0] };\ntmp = 0U;\ntmp = (tmp | (32'I(TTBL.b32 & 0x1) != 0 ? 32'U(~S0.b32 & ~S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x2) != 0 ? 32'U(~S0.b32 & ~S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x4) != 0 ? 32'U(~S0.b32 & S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x8) != 0 ? 32'U(~S0.b32 & S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x10) != 0 ? 32'U(S0.b32 & ~S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x20) != 0 ? 32'U(S0.b32 & ~S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x40) != 0 ? 32'U(S0.b32 & S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x80) != 0 ? 32'U(S0.b32 & S1.b32 & S2.b32) : 0U));\nD.b32 = tmp.b32",
VOP3Op.V_CVT_SCALEF32_PK_FP8_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_fp8_scale(S0.f32, scale.u8);\ntmp1 = f32_to_fp8_scale(S1.f32, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_BF8_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_bf8_scale(S0.f32, scale.u8);\ntmp1 = f32_to_bf8_scale(S1.f32, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_FP8_F32: "scale = 32'U(exponent(S2.f32));\ntmp = f32_to_fp8_sr_scale(S0.f32, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_BF8_F32: "scale = 32'U(exponent(S2.f32));\ntmp = f32_to_bf8_sr_scale(S0.f32, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_F32_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_f32_scale(src[7 : 0].fp8, scale.u8);\ntmp1 = fp8_to_f32_scale(src[15 : 8].fp8, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3Op.V_CVT_SCALEF32_PK_F32_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_f32_scale(src[7 : 0].bf8, scale.u8);\ntmp1 = bf8_to_f32_scale(src[15 : 8].bf8, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3Op.V_CVT_SCALEF32_F32_FP8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].fp8;\ntmp = fp8_to_f32_scale(src, scale.u8);\nD0 = tmp.b32",
VOP3Op.V_CVT_SCALEF32_F32_BF8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].bf8;\ntmp = bf8_to_f32_scale(src, scale.u8);\nD0 = tmp.b32",
VOP3Op.V_CVT_SCALEF32_PK_FP4_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_fp4_scale(S0.f32, scale.u8);\ntmp1 = f32_to_fp4_scale(S1.f32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_PK_FP4_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = f32_to_fp4_sr_scale(S0[31 : 0].f32, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = f32_to_fp4_sr_scale(S0[63 : 32].f32, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_F32_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_f32_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_f32_scale(src[7 : 4].fp4, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3Op.V_CVT_SCALEF32_PK_FP8_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_fp8_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_fp8_scale(S0[31 : 16].f16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_BF8_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_bf8_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_bf8_scale(S0[31 : 16].f16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_FP8_F16: "scale = 32'U(exponent(S2.f32));\ntmp = f16_to_fp8_sr_scale(S0.f16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_BF8_F16: "scale = 32'U(exponent(S2.f32));\ntmp = f16_to_bf8_sr_scale(S0.f16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_FP8_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_fp8_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_fp8_scale(S0[31 : 16].bf16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_BF8_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_bf8_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_bf8_scale(S0[31 : 16].bf16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_FP8_BF16: "scale = 32'U(exponent(S2.f32));\ntmp = bf16_to_fp8_sr_scale(S0.bf16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_BF8_BF16: "scale = 32'U(exponent(S2.f32));\ntmp = bf16_to_bf8_sr_scale(S0.bf16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_F16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_f16_scale(src[7 : 0].fp8, scale.u8);\ntmp1 = fp8_to_f16_scale(src[15 : 8].fp8, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3Op.V_CVT_SCALEF32_PK_F16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_f16_scale(src[7 : 0].bf8, scale.u8);\ntmp1 = bf8_to_f16_scale(src[15 : 8].bf8, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3Op.V_CVT_SCALEF32_F16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].fp8;\ntmp = fp8_to_f16_scale(src, scale.u8);\n// OPSEL[3] controls destination hi/lo\nD0 = tmp.b32",
VOP3Op.V_CVT_SCALEF32_F16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].bf8;\ntmp = bf8_to_f16_scale(src, scale.u8);\n// OPSEL[3] controls destination hi/lo\nD0 = tmp.b32",
VOP3Op.V_CVT_SCALEF32_PK_FP4_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_fp4_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_fp4_scale(S0[31 : 16].f16, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_FP4_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_fp4_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_fp4_scale(S0[31 : 16].bf16, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_PK_FP4_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = f16_to_fp4_sr_scale(S0[15 : 0].f16, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = f16_to_fp4_sr_scale(S0[31 : 16].f16, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_SR_PK_FP4_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = bf16_to_fp4_sr_scale(S0[15 : 0].bf16, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = bf16_to_fp4_sr_scale(S0[31 : 16].bf16, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3Op.V_CVT_SCALEF32_PK_F16_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_f16_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_f16_scale(src[7 : 4].fp4, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3Op.V_CVT_SCALEF32_PK_BF16_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_bf16_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_bf16_scale(src[7 : 4].fp4, scale.u8);\nD0[15 : 0].bf16 = tmp0;\nD0[31 : 16].bf16 = tmp1",
VOP3Op.V_CVT_SCALEF32_2XPK16_FP6_F32: "scale = 32'U(exponent(S2.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 15 do\ndOffset = pass * 12;\nsOffset = pass * 32;\n// Note that S0 and S1 inputs are interleaved in the packed result.\ntmp[dOffset + 5 : dOffset].fp6 = f32_to_fp6_scale(S0[sOffset + 31 : sOffset].f32, scale.u8);\ntmp[dOffset + 11 : dOffset + 6].fp6 = f32_to_fp6_scale(S1[sOffset + 31 : sOffset].f32, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_2XPK16_BF6_F32: "scale = 32'U(exponent(S2.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 15 do\ndOffset = pass * 12;\nsOffset = pass * 32;\n// Note that S0 and S1 inputs are interleaved in the packed result.\ntmp[dOffset + 5 : dOffset].bf6 = f32_to_bf6_scale(S0[sOffset + 31 : sOffset].f32, scale.u8);\ntmp[dOffset + 11 : dOffset + 6].bf6 = f32_to_bf6_scale(S1[sOffset + 31 : sOffset].f32, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_FP6_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 32;\ntmp[dOffset + 5 : dOffset].fp6 = f32_to_fp6_sr_scale(S0[sOffset + 31 : sOffset].f32, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_BF6_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 32;\ntmp[dOffset + 5 : dOffset].bf6 = f32_to_bf6_sr_scale(S0[sOffset + 31 : sOffset].f32, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_PK32_F32_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 1024'B;\nfor pass in 0 : 31 do\ndOffset = pass * 32;\nsOffset = pass * 6;\ntmp[dOffset + 31 : dOffset].f32 = fp6_to_f32_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[1023 : 0] = tmp.b1024",
VOP3Op.V_CVT_SCALEF32_PK32_F32_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 1024'B;\nfor pass in 0 : 31 do\ndOffset = pass * 32;\nsOffset = pass * 6;\ntmp[dOffset + 31 : dOffset].f32 = bf6_to_f32_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[1023 : 0] = tmp.b1024",
VOP3Op.V_CVT_SCALEF32_PK32_FP6_F16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = f16_to_fp6_scale(S0[sOffset + 15 : sOffset].f16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_PK32_FP6_BF16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = bf16_to_fp6_scale(S0[sOffset + 15 : sOffset].bf16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_PK32_BF6_F16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = f16_to_bf6_scale(S0[sOffset + 15 : sOffset].f16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_PK32_BF6_BF16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = bf16_to_bf6_scale(S0[sOffset + 15 : sOffset].bf16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_FP6_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = f16_to_fp6_sr_scale(S0[sOffset + 15 : sOffset].f16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_FP6_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = bf16_to_fp6_sr_scale(S0[sOffset + 15 : sOffset].bf16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_BF6_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = f16_to_bf6_sr_scale(S0[sOffset + 15 : sOffset].f16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_SR_PK32_BF6_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = bf16_to_bf6_sr_scale(S0[sOffset + 15 : sOffset].bf16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3Op.V_CVT_SCALEF32_PK32_F16_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].f16 = fp6_to_f16_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3Op.V_CVT_SCALEF32_PK32_BF16_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].bf16 = fp6_to_bf16_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3Op.V_CVT_SCALEF32_PK32_F16_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].f16 = bf6_to_f16_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3Op.V_CVT_SCALEF32_PK32_BF16_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].bf16 = bf6_to_bf16_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3Op.V_ASHR_PK_I8_I32: "SAT8 = lambda(n) (\nif n <= -128 then\nreturn 8'0x80\nelsif n >= 127 then\nreturn 8'0x7f\nelse\nreturn n[7 : 0].b8\nendif);\ndeclare tmp : 16'B;\ntmp[7 : 0] = SAT8(S0.i32 >> S2[4 : 0].u32);\ntmp[15 : 8] = SAT8(S1.i32 >> S2[4 : 0].u32);\nD0[15 : 0] = tmp",
VOP3Op.V_ASHR_PK_U8_I32: "SAT8 = lambda(n) (\nif n <= 0 then\nreturn 8'0x0\nelsif n >= 255 then\nreturn 8'0xff\nelse\nreturn n[7 : 0].b8\nendif);\ndeclare tmp : 16'B;\ntmp[7 : 0] = SAT8(S0.i32 >> S2[4 : 0].u32);\ntmp[15 : 8] = SAT8(S1.i32 >> S2[4 : 0].u32);\nD0[15 : 0] = tmp",
VOP3Op.V_CVT_PK_F16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ntmp[15 : 0].f16 = f32_to_f16(S0.f32);\ntmp[31 : 16].f16 = f32_to_f16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode',
VOP3Op.V_CVT_PK_BF16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ntmp[15 : 0].bf16 = f32_to_bf16(S0.f32);\ntmp[31 : 16].bf16 = f32_to_bf16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode',
VOP3Op.V_CVT_SCALEF32_PK_BF16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_bf16_scale(src[7 : 0].fp8, scale);\ntmp1 = fp8_to_bf16_scale(src[15 : 8].fp8, scale);\nD0[15 : 0].bf16 = tmp0.bf16;\nD0[31 : 16].bf16 = tmp1.bf16",
VOP3Op.V_CVT_SCALEF32_PK_BF16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_bf16_scale(src[7 : 0].bf8, scale);\ntmp1 = bf8_to_bf16_scale(src[15 : 8].bf8, scale);\nD0[15 : 0].bf16 = tmp0.bf16;\nD0[31 : 16].bf16 = tmp1.bf16",
VOP3Op.V_ADD_F64: 'D0.f64 = S0.f64 + S1.f64',
VOP3Op.V_MUL_F64: 'D0.f64 = S0.f64 * S1.f64',
VOP3Op.V_MIN_F64: "if (WAVE_MODE.IEEE && isSignalNAN(S0.f64)) then\nD0.f64 = cvtToQuietNAN(S0.f64)\nelsif (WAVE_MODE.IEEE && isSignalNAN(S1.f64)) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif isNAN(S0.f64) then\nD0.f64 = S1.f64\nelsif isNAN(S1.f64) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == +0.0) && (S1.f64 == -0.0)) then\nD0.f64 = S1.f64\nelsif ((S0.f64 == -0.0) && (S1.f64 == +0.0)) then\nD0.f64 = S0.f64\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F64.\nD0.f64 = S0.f64 < S1.f64 ? S0.f64 : S1.f64\nendif",
VOP3Op.V_MAX_F64: 'if (WAVE_MODE.IEEE && isSignalNAN(S0.f64)) then\nD0.f64 = cvtToQuietNAN(S0.f64)\nelsif (WAVE_MODE.IEEE && isSignalNAN(S1.f64)) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif isNAN(S0.f64) then\nD0.f64 = S1.f64\nelsif isNAN(S1.f64) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == +0.0) && (S1.f64 == -0.0)) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == -0.0) && (S1.f64 == +0.0)) then\nD0.f64 = S1.f64\nelsif WAVE_MODE.IEEE then\nD0.f64 = S0.f64 >= S1.f64 ? S0.f64 : S1.f64\nelse\nD0.f64 = S0.f64 > S1.f64 ? S0.f64 : S1.f64\nendif',
VOP3Op.V_LDEXP_F64: 'D0.f64 = S0.f64 * 2.0 ** S1.i32',
VOP3Op.V_MUL_LO_U32: 'D0.u32 = S0.u32 * S1.u32',
VOP3Op.V_MUL_HI_U32: "D0.u32 = 32'U((64'U(S0.u32) * 64'U(S1.u32)) >> 32U)",
VOP3Op.V_MUL_HI_I32: "D0.i32 = 32'I((64'I(S0.i32) * 64'I(S1.i32)) >> 32U)",
VOP3Op.V_LDEXP_F32: 'D0.f32 = S0.f32 * 2.0F ** S1.i32',
VOP3Op.V_READLANE_B32: 'lane = S1.u32[5 : 0];\n// Lane select\nD0.b32 = VGPR[lane][SRC0.u32]',
VOP3Op.V_WRITELANE_B32: 'lane = S1.u32[5 : 0];\n// Lane select\nVGPR[lane][VDST.u32] = S0.b32',
VOP3Op.V_BCNT_U32_B32: "tmp = S1.u32;\nfor i in 0 : 31 do\ntmp += S0[i].u32;\n// count i'th bit\nendfor;\nD0.u32 = tmp",
VOP3Op.V_MBCNT_LO_U32_B32: "ThreadMask = (1LL << laneId.u32) - 1LL;\nMaskedValue = (S0.u32 & ThreadMask[31 : 0].u32);\ntmp = S1.u32;\nfor i in 0 : 31 do\ntmp += MaskedValue[i] == 1'1U ? 1U : 0U\nendfor;\nD0.u32 = tmp",
VOP3Op.V_MBCNT_HI_U32_B32: "ThreadMask = (1LL << laneId.u32) - 1LL;\nMaskedValue = (S0.u32 & ThreadMask[63 : 32].u32);\ntmp = S1.u32;\nfor i in 0 : 31 do\ntmp += MaskedValue[i] == 1'1U ? 1U : 0U\nendfor;\nD0.u32 = tmp",
VOP3Op.V_LSHLREV_B64: 'D0.u64 = (S1.u64 << S0[5 : 0].u32)',
VOP3Op.V_LSHRREV_B64: 'D0.u64 = (S1.u64 >> S0[5 : 0].u32)',
VOP3Op.V_ASHRREV_I64: 'D0.i64 = (S1.i64 >> S0[5 : 0].u32)',
VOP3Op.V_TRIG_PREOP_F64: "shift = 32'I(S1[4 : 0].u32) * 53;\nif exponent(S0.f64) > 1077 then\nshift += exponent(S0.f64) - 1077\nendif;\n// (2.0/PI) == 0.{b_1200, b_1199, b_1198, ..., b_1, b_0}\n// b_1200 is the MSB of the fractional part of 2.0/PI\n// Left shift operation indicates which bits are brought\n// into the whole part of the number.\n// Only whole part of result is kept.\nresult = 64'F((1201'B(2.0 / PI)[1200 : 0] << shift.u32) & 1201'0x1fffffffffffff);\nscale = -53 - shift;\nif exponent(S0.f64) >= 1968 then\nscale += 128\nendif;\nD0.f64 = ldexp(result, scale)",
VOP3Op.V_BFM_B32: 'D0.u32 = (((1U << S0[4 : 0].u32) - 1U) << S1[4 : 0].u32)',
VOP3Op.V_CVT_PKNORM_I16_F32: "declare tmp : 32'B;\ntmp[15 : 0].i16 = f32_to_snorm(S0.f32);\ntmp[31 : 16].i16 = f32_to_snorm(S1.f32);\nD0 = tmp.b32",
VOP3Op.V_CVT_PKNORM_U16_F32: "declare tmp : 32'B;\ntmp[15 : 0].u16 = f32_to_unorm(S0.f32);\ntmp[31 : 16].u16 = f32_to_unorm(S1.f32);\nD0 = tmp.b32",
VOP3Op.V_CVT_PKRTZ_F16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_TOWARD_ZERO;\ntmp[15 : 0].f16 = f32_to_f16(S0.f32);\ntmp[31 : 16].f16 = f32_to_f16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode;\n// Round-toward-zero regardless of current round mode setting in hardware.',
VOP3Op.V_CVT_PK_U16_U32: "declare tmp : 32'B;\ntmp[15 : 0].u16 = u32_to_u16(S0.u32);\ntmp[31 : 16].u16 = u32_to_u16(S1.u32);\nD0 = tmp.b32",
VOP3Op.V_CVT_PK_I16_I32: "declare tmp : 32'B;\ntmp[15 : 0].i16 = i32_to_i16(S0.i32);\ntmp[31 : 16].i16 = i32_to_i16(S1.i32);\nD0 = tmp.b32",
VOP3Op.V_CVT_PKNORM_I16_F16: "declare tmp : 32'B;\ntmp[15 : 0].i16 = f16_to_snorm(S0.f16);\ntmp[31 : 16].i16 = f16_to_snorm(S1.f16);\nD0 = tmp.b32",
VOP3Op.V_CVT_PKNORM_U16_F16: "declare tmp : 32'B;\ntmp[15 : 0].u16 = f16_to_unorm(S0.f16);\ntmp[31 : 16].u16 = f16_to_unorm(S1.f16);\nD0 = tmp.b32",
VOP3Op.V_ADD_I32: 'D0.i32 = S0.i32 + S1.i32',
VOP3Op.V_SUB_I32: 'D0.i32 = S0.i32 - S1.i32',
VOP3Op.V_ADD_I16: 'D0.i16 = S0.i16 + S1.i16',
VOP3Op.V_SUB_I16: 'D0.i16 = S0.i16 - S1.i16',
VOP3Op.V_PACK_B32_F16: 'D0[31 : 16].f16 = S1.f16;\nD0[15 : 0].f16 = S0.f16',
VOP3Op.V_MUL_LEGACY_F32: "if ((64'F(S0.f32) == 0.0) || (64'F(S1.f32) == 0.0)) then\n// DX9 rules, 0.0 * x = 0.0\nD0.f32 = 0.0F\nelse\nD0.f32 = S0.f32 * S1.f32\nendif",
VOP3Op.V_CVT_PK_FP8_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u32 == 0U then\nVGPR[laneId][VDST.u32][15 : 0].b16 = { f32_to_fp8(S1.f32), f32_to_fp8(S0.f32) };\n// D0[31:16] are preserved\nelse\nVGPR[laneId][VDST.u32][31 : 16].b16 = { f32_to_fp8(S1.f32), f32_to_fp8(S0.f32) };\n// D0[15:0] are preserved\nendif;\nROUND_MODE = prev_mode',
VOP3Op.V_CVT_PK_BF8_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u32 == 0U then\nVGPR[laneId][VDST.u32][15 : 0].b16 = { f32_to_bf8(S1.f32), f32_to_bf8(S0.f32) };\n// D0[31:16] are preserved\nelse\nVGPR[laneId][VDST.u32][31 : 16].b16 = { f32_to_bf8(S1.f32), f32_to_bf8(S0.f32) };\n// D0[15:0] are preserved\nendif;\nROUND_MODE = prev_mode',
VOP3Op.V_CVT_SR_FP8_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ns = sign(S0.f32);\ne = exponent(S0.f32);\nm = 23'U(32'U(23'B(mantissa(S0.f32))) + S1[31 : 12].u32);\ntmp = float32(s, e, m);\n// Add stochastic value to mantissa, wrap around on overflow\nif OPSEL[3 : 2].u2 == 2'0U then\nVGPR[laneId][VDST.u32][7 : 0].fp8 = f32_to_fp8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'1U then\nVGPR[laneId][VDST.u32][15 : 8].fp8 = f32_to_fp8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'2U then\nVGPR[laneId][VDST.u32][23 : 16].fp8 = f32_to_fp8(tmp.f32)\nelse\nVGPR[laneId][VDST.u32][31 : 24].fp8 = f32_to_fp8(tmp.f32)\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3Op.V_CVT_SR_BF8_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ns = sign(S0.f32);\ne = exponent(S0.f32);\nm = 23'U(32'U(23'B(mantissa(S0.f32))) + S1[31 : 11].u32);\ntmp = float32(s, e, m);\n// Add stochastic value to mantissa, wrap around on overflow\nif OPSEL[3 : 2].u2 == 2'0U then\nVGPR[laneId][VDST.u32][7 : 0].bf8 = f32_to_bf8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'1U then\nVGPR[laneId][VDST.u32][15 : 8].bf8 = f32_to_bf8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'2U then\nVGPR[laneId][VDST.u32][23 : 16].bf8 = f32_to_bf8(tmp.f32)\nelse\nVGPR[laneId][VDST.u32][31 : 24].bf8 = f32_to_bf8(tmp.f32)\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3Op.V_CVT_SR_F16_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u2 == 2'0U then\nVGPR[laneId][VDST.u32][15 : 0].f16 = 16'F(f32_to_f16_SR(S0.f32, S1.u32))\nelse\nVGPR[laneId][VDST.u32][31 : 16].f16 = 16'F(f32_to_f16_sr(S0.f32, S1.u32))\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3Op.V_CVT_SR_BF16_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u2 == 2'0U then\nVGPR[laneId][VDST.u32][15 : 0].bf16 = 16'BF(f32_to_bf16_SR(S0.f32, S1.u32))\nelse\nVGPR[laneId][VDST.u32][31 : 16].bf16 = 16'BF(f32_to_bf16_sr(S0.f32, S1.u32))\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3Op.V_MINIMUM3_F32: "D0.f32 = 32'F(v_minimum_f32(v_minimum_f32(S0.f32, S1.f32), S2.f32))",
VOP3Op.V_MAXIMUM3_F32: "D0.f32 = 32'F(v_maximum_f32(v_maximum_f32(S0.f32, S1.f32), S2.f32))",
VOP3AOp.V_CMP_CLASS_F32: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_CLASS_F32: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3AOp.V_CMP_CLASS_F64: "declare result : 1'U;\nif isSignalNAN(S0.f64) then\nresult = S1.u32[0]\nelsif isQuietNAN(S0.f64) then\nresult = S1.u32[1]\nelsif exponent(S0.f64) == 2047 then\n// +-INF\nresult = S1.u32[sign(S0.f64) ? 2 : 9]\nelsif exponent(S0.f64) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f64) ? 3 : 8]\nelsif abs(S0.f64) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f64) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f64) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_CLASS_F64: "declare result : 1'U;\nif isSignalNAN(S0.f64) then\nresult = S1.u32[0]\nelsif isQuietNAN(S0.f64) then\nresult = S1.u32[1]\nelsif exponent(S0.f64) == 2047 then\n// +-INF\nresult = S1.u32[sign(S0.f64) ? 2 : 9]\nelsif exponent(S0.f64) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f64) ? 3 : 8]\nelsif abs(S0.f64) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f64) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f64) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3AOp.V_CMP_CLASS_F16: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f16)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f16)) then\nresult = S1.u32[1]\nelsif exponent(S0.f16) == 31 then\n// +-INF\nresult = S1.u32[sign(S0.f16) ? 2 : 9]\nelsif exponent(S0.f16) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f16) ? 3 : 8]\nelsif 64'F(abs(S0.f16)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f16) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f16) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_CLASS_F16: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f16)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f16)) then\nresult = S1.u32[1]\nelsif exponent(S0.f16) == 31 then\n// +-INF\nresult = S1.u32[sign(S0.f16) ? 2 : 9]\nelsif exponent(S0.f16) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f16) ? 3 : 8]\nelsif 64'F(abs(S0.f16)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f16) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f16) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOP3AOp.V_CMP_F_F16: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_F16: 'D0.u64[laneId] = S0.f16 < S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_F16: 'D0.u64[laneId] = S0.f16 == S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_F16: 'D0.u64[laneId] = S0.f16 <= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_F16: 'D0.u64[laneId] = S0.f16 > S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LG_F16: 'D0.u64[laneId] = S0.f16 <> S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_F16: 'D0.u64[laneId] = S0.f16 >= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_O_F16: "D0.u64[laneId] = (!isNAN(64'F(S0.f16)) && !isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_U_F16: "D0.u64[laneId] = (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_NGE_F16: 'D0.u64[laneId] = !(S0.f16 >= S1.f16);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLG_F16: 'D0.u64[laneId] = !(S0.f16 <> S1.f16);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NGT_F16: 'D0.u64[laneId] = !(S0.f16 > S1.f16);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLE_F16: 'D0.u64[laneId] = !(S0.f16 <= S1.f16);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NEQ_F16: 'D0.u64[laneId] = !(S0.f16 == S1.f16);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLT_F16: 'D0.u64[laneId] = !(S0.f16 < S1.f16);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_TRU_F16: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_F16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 < S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 == S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 <= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 > S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LG_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 <> S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f16 >= S1.f16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_O_F16: "EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(64'F(S0.f16)) && !isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_U_F16: "EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_NGE_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 >= S1.f16);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLG_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 <> S1.f16);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NGT_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 > S1.f16);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLE_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 <= S1.f16);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NEQ_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 == S1.f16);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLT_F16: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f16 < S1.f16);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_TRU_F16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_F32: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_F32: 'D0.u64[laneId] = S0.f32 < S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_F32: 'D0.u64[laneId] = S0.f32 == S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_F32: 'D0.u64[laneId] = S0.f32 <= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_F32: 'D0.u64[laneId] = S0.f32 > S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LG_F32: 'D0.u64[laneId] = S0.f32 <> S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_F32: 'D0.u64[laneId] = S0.f32 >= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_O_F32: "D0.u64[laneId] = (!isNAN(64'F(S0.f32)) && !isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_U_F32: "D0.u64[laneId] = (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_NGE_F32: 'D0.u64[laneId] = !(S0.f32 >= S1.f32);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLG_F32: 'D0.u64[laneId] = !(S0.f32 <> S1.f32);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NGT_F32: 'D0.u64[laneId] = !(S0.f32 > S1.f32);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLE_F32: 'D0.u64[laneId] = !(S0.f32 <= S1.f32);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NEQ_F32: 'D0.u64[laneId] = !(S0.f32 == S1.f32);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLT_F32: 'D0.u64[laneId] = !(S0.f32 < S1.f32);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_TRU_F32: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_F32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 < S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 == S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 <= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 > S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LG_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 <> S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f32 >= S1.f32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_O_F32: "EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(64'F(S0.f32)) && !isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_U_F32: "EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)));\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_NGE_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 >= S1.f32);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLG_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 <> S1.f32);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NGT_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 > S1.f32);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLE_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 <= S1.f32);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NEQ_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 == S1.f32);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLT_F32: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f32 < S1.f32);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_TRU_F32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_F64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_F64: 'D0.u64[laneId] = S0.f64 < S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_F64: 'D0.u64[laneId] = S0.f64 == S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_F64: 'D0.u64[laneId] = S0.f64 <= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_F64: 'D0.u64[laneId] = S0.f64 > S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LG_F64: 'D0.u64[laneId] = S0.f64 <> S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_F64: 'D0.u64[laneId] = S0.f64 >= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_O_F64: 'D0.u64[laneId] = (!isNAN(S0.f64) && !isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_U_F64: 'D0.u64[laneId] = (isNAN(S0.f64) || isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NGE_F64: 'D0.u64[laneId] = !(S0.f64 >= S1.f64);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLG_F64: 'D0.u64[laneId] = !(S0.f64 <> S1.f64);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NGT_F64: 'D0.u64[laneId] = !(S0.f64 > S1.f64);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLE_F64: 'D0.u64[laneId] = !(S0.f64 <= S1.f64);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NEQ_F64: 'D0.u64[laneId] = !(S0.f64 == S1.f64);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NLT_F64: 'D0.u64[laneId] = !(S0.f64 < S1.f64);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_TRU_F64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_F64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 < S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 == S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 <= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 > S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LG_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 <> S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.f64 >= S1.f64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_O_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = (!isNAN(S0.f64) && !isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_U_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = (isNAN(S0.f64) || isNAN(S1.f64));\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NGE_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 >= S1.f64);\n// With NAN inputs this is not the same operation as <\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLG_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 <> S1.f64);\n// With NAN inputs this is not the same operation as ==\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NGT_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 > S1.f64);\n// With NAN inputs this is not the same operation as <=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLE_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 <= S1.f64);\n// With NAN inputs this is not the same operation as >\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NEQ_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 == S1.f64);\n// With NAN inputs this is not the same operation as !=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NLT_F64: 'EXEC.u64[laneId] = D0.u64[laneId] = !(S0.f64 < S1.f64);\n// With NAN inputs this is not the same operation as >=\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_TRU_F64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_I16: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_I16: 'D0.u64[laneId] = S0.i16 < S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_I16: 'D0.u64[laneId] = S0.i16 == S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_I16: 'D0.u64[laneId] = S0.i16 <= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_I16: 'D0.u64[laneId] = S0.i16 > S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_I16: 'D0.u64[laneId] = S0.i16 <> S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_I16: 'D0.u64[laneId] = S0.i16 >= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_I16: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_U16: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_U16: 'D0.u64[laneId] = S0.u16 < S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_U16: 'D0.u64[laneId] = S0.u16 == S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_U16: 'D0.u64[laneId] = S0.u16 <= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_U16: 'D0.u64[laneId] = S0.u16 > S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_U16: 'D0.u64[laneId] = S0.u16 <> S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_U16: 'D0.u64[laneId] = S0.u16 >= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_U16: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_I16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 < S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 == S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 <= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 > S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 <> S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_I16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i16 >= S1.i16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_I16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_U16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 < S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 == S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 <= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 > S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 <> S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_U16: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u16 >= S1.u16;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_U16: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_I32: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_I32: 'D0.u64[laneId] = S0.i32 < S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_I32: 'D0.u64[laneId] = S0.i32 == S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_I32: 'D0.u64[laneId] = S0.i32 <= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_I32: 'D0.u64[laneId] = S0.i32 > S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_I32: 'D0.u64[laneId] = S0.i32 <> S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_I32: 'D0.u64[laneId] = S0.i32 >= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_I32: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_U32: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_U32: 'D0.u64[laneId] = S0.u32 < S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_U32: 'D0.u64[laneId] = S0.u32 == S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_U32: 'D0.u64[laneId] = S0.u32 <= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_U32: 'D0.u64[laneId] = S0.u32 > S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_U32: 'D0.u64[laneId] = S0.u32 <> S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_U32: 'D0.u64[laneId] = S0.u32 >= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_U32: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_I32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 < S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 == S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 <= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 > S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 <> S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_I32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i32 >= S1.i32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_I32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_U32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 < S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 == S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 <= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 > S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 <> S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_U32: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u32 >= S1.u32;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_U32: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_I64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_I64: 'D0.u64[laneId] = S0.i64 < S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_I64: 'D0.u64[laneId] = S0.i64 == S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_I64: 'D0.u64[laneId] = S0.i64 <= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_I64: 'D0.u64[laneId] = S0.i64 > S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_I64: 'D0.u64[laneId] = S0.i64 <> S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_I64: 'D0.u64[laneId] = S0.i64 >= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_I64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_F_U64: "D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMP_LT_U64: 'D0.u64[laneId] = S0.u64 < S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_EQ_U64: 'D0.u64[laneId] = S0.u64 == S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_LE_U64: 'D0.u64[laneId] = S0.u64 <= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GT_U64: 'D0.u64[laneId] = S0.u64 > S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_NE_U64: 'D0.u64[laneId] = S0.u64 <> S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_GE_U64: 'D0.u64[laneId] = S0.u64 >= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMP_T_U64: "D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_I64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 < S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 == S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 <= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 > S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 <> S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_I64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.i64 >= S1.i64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_I64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_F_U64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'0U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CMPX_LT_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 < S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_EQ_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 == S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_LE_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 <= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GT_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 > S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_NE_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 <> S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_GE_U64: 'EXEC.u64[laneId] = D0.u64[laneId] = S0.u64 >= S1.u64;\n// D0 = VCC in VOPC encoding.',
VOP3AOp.V_CMPX_T_U64: "EXEC.u64[laneId] = D0.u64[laneId] = 1'1U;\n// D0 = VCC in VOPC encoding.",
VOP3AOp.V_CNDMASK_B32: 'D0.u32 = VCC.u64[laneId] ? S1.u32 : S0.u32',
VOP3AOp.V_ADD_F32: 'D0.f32 = S0.f32 + S1.f32',
VOP3AOp.V_SUB_F32: 'D0.f32 = S0.f32 - S1.f32',
VOP3AOp.V_SUBREV_F32: 'D0.f32 = S1.f32 - S0.f32',
VOP3AOp.V_FMAC_F64: 'D0.f64 = fma(S0.f64, S1.f64, D0.f64)',
VOP3AOp.V_MUL_F32: 'D0.f32 = S0.f32 * S1.f32',
VOP3AOp.V_MUL_I32_I24: "D0.i32 = 32'I(S0.i24) * 32'I(S1.i24)",
VOP3AOp.V_MUL_HI_I32_I24: "D0.i32 = 32'I((64'I(S0.i24) * 64'I(S1.i24)) >> 32U)",
VOP3AOp.V_MUL_U32_U24: "D0.u32 = 32'U(S0.u24) * 32'U(S1.u24)",
VOP3AOp.V_MUL_HI_U32_U24: "D0.u32 = 32'U((64'U(S0.u24) * 64'U(S1.u24)) >> 32U)",
VOP3AOp.V_MIN_F32: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S0.f32)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif isNAN(64'F(S0.f32)) then\nD0.f32 = S1.f32\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == +0.0) && (64'F(S1.f32) == -0.0)) then\nD0.f32 = S1.f32\nelsif ((64'F(S0.f32) == -0.0) && (64'F(S1.f32) == +0.0)) then\nD0.f32 = S0.f32\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F32.\nD0.f32 = S0.f32 < S1.f32 ? S0.f32 : S1.f32\nendif",
VOP3AOp.V_MAX_F32: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S0.f32)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f32))) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif isNAN(64'F(S0.f32)) then\nD0.f32 = S1.f32\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == +0.0) && (64'F(S1.f32) == -0.0)) then\nD0.f32 = S0.f32\nelsif ((64'F(S0.f32) == -0.0) && (64'F(S1.f32) == +0.0)) then\nD0.f32 = S1.f32\nelsif WAVE_MODE.IEEE then\nD0.f32 = S0.f32 >= S1.f32 ? S0.f32 : S1.f32\nelse\nD0.f32 = S0.f32 > S1.f32 ? S0.f32 : S1.f32\nendif",
VOP3AOp.V_MIN_I32: 'D0.i32 = S0.i32 < S1.i32 ? S0.i32 : S1.i32',
VOP3AOp.V_MAX_I32: 'D0.i32 = S0.i32 >= S1.i32 ? S0.i32 : S1.i32',
VOP3AOp.V_MIN_U32: 'D0.u32 = S0.u32 < S1.u32 ? S0.u32 : S1.u32',
VOP3AOp.V_MAX_U32: 'D0.u32 = S0.u32 >= S1.u32 ? S0.u32 : S1.u32',
VOP3AOp.V_LSHRREV_B32: 'D0.u32 = (S1.u32 >> S0[4 : 0].u32)',
VOP3AOp.V_ASHRREV_I32: 'D0.i32 = (S1.i32 >> S0[4 : 0].u32)',
VOP3AOp.V_LSHLREV_B32: 'D0.u32 = (S1.u32 << S0[4 : 0].u32)',
VOP3AOp.V_AND_B32: 'D0.u32 = (S0.u32 & S1.u32)',
VOP3AOp.V_OR_B32: 'D0.u32 = (S0.u32 | S1.u32)',
VOP3AOp.V_XOR_B32: 'D0.u32 = (S0.u32 ^ S1.u32)',
VOP3AOp.V_DOT2C_F32_BF16: 'tmp = D0.f32;\ntmp += bf16_to_f32(S0[15 : 0].bf16) * bf16_to_f32(S1[15 : 0].bf16);\ntmp += bf16_to_f32(S0[31 : 16].bf16) * bf16_to_f32(S1[31 : 16].bf16);\nD0.f32 = tmp',
VOP3AOp.V_ADD_F16: 'D0.f16 = S0.f16 + S1.f16',
VOP3AOp.V_SUB_F16: 'D0.f16 = S0.f16 - S1.f16',
VOP3AOp.V_SUBREV_F16: 'D0.f16 = S1.f16 - S0.f16',
VOP3AOp.V_MUL_F16: 'D0.f16 = S0.f16 * S1.f16',
VOP3AOp.V_MAC_F16: "tmp = S0.f16 * S1.f16 + D0.f16;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3AOp.V_ADD_U16: 'D0.u16 = S0.u16 + S1.u16',
VOP3AOp.V_SUB_U16: 'D0.u16 = S0.u16 - S1.u16',
VOP3AOp.V_SUBREV_U16: 'D0.u16 = S1.u16 - S0.u16',
VOP3AOp.V_MUL_LO_U16: 'D0.u16 = S0.u16 * S1.u16',
VOP3AOp.V_LSHLREV_B16: 'D0.u16 = (S1.u16 << S0[3 : 0].u32)',
VOP3AOp.V_LSHRREV_B16: 'D0.u16 = (S1.u16 >> S0[3 : 0].u32)',
VOP3AOp.V_ASHRREV_I16: 'D0.i16 = (S1.i16 >> S0[3 : 0].u32)',
VOP3AOp.V_MAX_F16: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S0.f16)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif isNAN(64'F(S0.f16)) then\nD0.f16 = S1.f16\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == +0.0) && (64'F(S1.f16) == -0.0)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == -0.0) && (64'F(S1.f16) == +0.0)) then\nD0.f16 = S1.f16\nelsif WAVE_MODE.IEEE then\nD0.f16 = S0.f16 >= S1.f16 ? S0.f16 : S1.f16\nelse\nD0.f16 = S0.f16 > S1.f16 ? S0.f16 : S1.f16\nendif",
VOP3AOp.V_MIN_F16: "if (WAVE_MODE.IEEE && isSignalNAN(64'F(S0.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S0.f16)))\nelsif (WAVE_MODE.IEEE && isSignalNAN(64'F(S1.f16))) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif isNAN(64'F(S0.f16)) then\nD0.f16 = S1.f16\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = S0.f16\nelsif ((64'F(S0.f16) == +0.0) && (64'F(S1.f16) == -0.0)) then\nD0.f16 = S1.f16\nelsif ((64'F(S0.f16) == -0.0) && (64'F(S1.f16) == +0.0)) then\nD0.f16 = S0.f16\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F16.\nD0.f16 = S0.f16 < S1.f16 ? S0.f16 : S1.f16\nendif",
VOP3AOp.V_MAX_U16: 'D0.u16 = S0.u16 >= S1.u16 ? S0.u16 : S1.u16',
VOP3AOp.V_MAX_I16: 'D0.i16 = S0.i16 >= S1.i16 ? S0.i16 : S1.i16',
VOP3AOp.V_MIN_U16: 'D0.u16 = S0.u16 < S1.u16 ? S0.u16 : S1.u16',
VOP3AOp.V_MIN_I16: 'D0.i16 = S0.i16 < S1.i16 ? S0.i16 : S1.i16',
VOP3AOp.V_LDEXP_F16: "D0.f16 = S0.f16 * 16'F(2.0F ** 32'I(S1.i16))",
VOP3AOp.V_ADD_U32: 'D0.u32 = S0.u32 + S1.u32',
VOP3AOp.V_SUB_U32: 'D0.u32 = S0.u32 - S1.u32',
VOP3AOp.V_SUBREV_U32: 'D0.u32 = S1.u32 - S0.u32',
VOP3AOp.V_DOT2C_F32_F16: 'tmp = D0.f32;\ntmp += f16_to_f32(S0[15 : 0].f16) * f16_to_f32(S1[15 : 0].f16);\ntmp += f16_to_f32(S0[31 : 16].f16) * f16_to_f32(S1[31 : 16].f16);\nD0.f32 = tmp',
VOP3AOp.V_DOT2C_I32_I16: 'tmp = D0.i32;\ntmp += i16_to_i32(S0[15 : 0].i16) * i16_to_i32(S1[15 : 0].i16);\ntmp += i16_to_i32(S0[31 : 16].i16) * i16_to_i32(S1[31 : 16].i16);\nD0.i32 = tmp',
VOP3AOp.V_DOT4C_I32_I8: 'tmp = D0.i32;\ntmp += i8_to_i32(S0[7 : 0].i8) * i8_to_i32(S1[7 : 0].i8);\ntmp += i8_to_i32(S0[15 : 8].i8) * i8_to_i32(S1[15 : 8].i8);\ntmp += i8_to_i32(S0[23 : 16].i8) * i8_to_i32(S1[23 : 16].i8);\ntmp += i8_to_i32(S0[31 : 24].i8) * i8_to_i32(S1[31 : 24].i8);\nD0.i32 = tmp',
VOP3AOp.V_DOT8C_I32_I4: 'tmp = D0.i32;\ntmp += i4_to_i32(S0[3 : 0].i4) * i4_to_i32(S1[3 : 0].i4);\ntmp += i4_to_i32(S0[7 : 4].i4) * i4_to_i32(S1[7 : 4].i4);\ntmp += i4_to_i32(S0[11 : 8].i4) * i4_to_i32(S1[11 : 8].i4);\ntmp += i4_to_i32(S0[15 : 12].i4) * i4_to_i32(S1[15 : 12].i4);\ntmp += i4_to_i32(S0[19 : 16].i4) * i4_to_i32(S1[19 : 16].i4);\ntmp += i4_to_i32(S0[23 : 20].i4) * i4_to_i32(S1[23 : 20].i4);\ntmp += i4_to_i32(S0[27 : 24].i4) * i4_to_i32(S1[27 : 24].i4);\ntmp += i4_to_i32(S0[31 : 28].i4) * i4_to_i32(S1[31 : 28].i4);\nD0.i32 = tmp',
VOP3AOp.V_FMAC_F32: 'D0.f32 = fma(S0.f32, S1.f32, D0.f32)',
VOP3AOp.V_PK_FMAC_F16: 'D0[15 : 0].f16 = fma(S0[15 : 0].f16, S1[15 : 0].f16, D0[15 : 0].f16);\nD0[31 : 16].f16 = fma(S0[31 : 16].f16, S1[31 : 16].f16, D0[31 : 16].f16)',
VOP3AOp.V_XNOR_B32: 'D0.u32 = ~(S0.u32 ^ S1.u32)',
VOP3AOp.V_MAD_I32_I24: "D0.i32 = 32'I(S0.i24) * 32'I(S1.i24) + S2.i32",
VOP3AOp.V_MAD_U32_U24: "D0.u32 = 32'U(S0.u24) * 32'U(S1.u24) + S2.u32",
VOP3AOp.V_CUBEID_F32: '// Set D0.f = cubemap face ID ({0.0, 1.0, ..., 5.0}).\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nif S2.f32 < 0.0F then\nD0.f32 = 5.0F\nelse\nD0.f32 = 4.0F\nendif\nelsif abs(S1.f32) >= abs(S0.f32) then\nif S1.f32 < 0.0F then\nD0.f32 = 3.0F\nelse\nD0.f32 = 2.0F\nendif\nelse\nif S0.f32 < 0.0F then\nD0.f32 = 1.0F\nelse\nD0.f32 = 0.0F\nendif\nendif',
VOP3AOp.V_CUBESC_F32: '// D0.f = cubemap S coordinate.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nif S2.f32 < 0.0F then\nD0.f32 = -S0.f32\nelse\nD0.f32 = S0.f32\nendif\nelsif abs(S1.f32) >= abs(S0.f32) then\nD0.f32 = S0.f32\nelse\nif S0.f32 < 0.0F then\nD0.f32 = S2.f32\nelse\nD0.f32 = -S2.f32\nendif\nendif',
VOP3AOp.V_CUBETC_F32: '// D0.f = cubemap T coordinate.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nD0.f32 = -S1.f32\nelsif abs(S1.f32) >= abs(S0.f32) then\nif S1.f32 < 0.0F then\nD0.f32 = -S2.f32\nelse\nD0.f32 = S2.f32\nendif\nelse\nD0.f32 = -S1.f32\nendif',
VOP3AOp.V_CUBEMA_F32: '// D0.f = 2.0 * cubemap major axis.\n// XYZ coordinate is given in (S0.f, S1.f, S2.f).\n// S0.f = x\n// S1.f = y\n// S2.f = z\nif ((abs(S2.f32) >= abs(S0.f32)) && (abs(S2.f32) >= abs(S1.f32))) then\nD0.f32 = S2.f32 * 2.0F\nelsif abs(S1.f32) >= abs(S0.f32) then\nD0.f32 = S1.f32 * 2.0F\nelse\nD0.f32 = S0.f32 * 2.0F\nendif',
VOP3AOp.V_BFE_U32: 'D0.u32 = ((S0.u32 >> S1[4 : 0].u32) & ((1U << S2[4 : 0].u32) - 1U))',
VOP3AOp.V_BFE_I32: 'tmp.i32 = ((S0.i32 >> S1[4 : 0].u32) & ((1 << S2[4 : 0].u32) - 1));\nD0.i32 = signext_from_bit(tmp.i32, S2[4 : 0].u32)',
VOP3AOp.V_BFI_B32: 'D0.u32 = ((S0.u32 & S1.u32) | (~S0.u32 & S2.u32))',
VOP3AOp.V_FMA_F32: 'D0.f32 = fma(S0.f32, S1.f32, S2.f32)',
VOP3AOp.V_FMA_F64: 'D0.f64 = fma(S0.f64, S1.f64, S2.f64)',
VOP3AOp.V_LERP_U8: 'tmp = ((S0.u32[31 : 24] + S1.u32[31 : 24] + S2.u32[24].u8) >> 1U << 24U);\ntmp += ((S0.u32[23 : 16] + S1.u32[23 : 16] + S2.u32[16].u8) >> 1U << 16U);\ntmp += ((S0.u32[15 : 8] + S1.u32[15 : 8] + S2.u32[8].u8) >> 1U << 8U);\ntmp += ((S0.u32[7 : 0] + S1.u32[7 : 0] + S2.u32[0].u8) >> 1U);\nD0.u32 = tmp.u32',
VOP3AOp.V_ALIGNBIT_B32: "D0.u32 = 32'U(({ S0.u32, S1.u32 } >> S2.u32[4 : 0]) & 0xffffffffLL)",
VOP3AOp.V_ALIGNBYTE_B32: "D0.u32 = 32'U(({ S0.u32, S1.u32 } >> (S2.u32[1 : 0] * 8U)) & 0xffffffffLL)",
VOP3AOp.V_MIN3_F32: 'D0.f32 = v_min_f32(v_min_f32(S0.f32, S1.f32), S2.f32)',
VOP3AOp.V_MIN3_I32: 'D0.i32 = v_min_i32(v_min_i32(S0.i32, S1.i32), S2.i32)',
VOP3AOp.V_MIN3_U32: 'D0.u32 = v_min_u32(v_min_u32(S0.u32, S1.u32), S2.u32)',
VOP3AOp.V_MAX3_F32: 'D0.f32 = v_max_f32(v_max_f32(S0.f32, S1.f32), S2.f32)',
VOP3AOp.V_MAX3_I32: 'D0.i32 = v_max_i32(v_max_i32(S0.i32, S1.i32), S2.i32)',
VOP3AOp.V_MAX3_U32: 'D0.u32 = v_max_u32(v_max_u32(S0.u32, S1.u32), S2.u32)',
VOP3AOp.V_MED3_F32: "if (isNAN(64'F(S0.f32)) || isNAN(64'F(S1.f32)) || isNAN(64'F(S2.f32))) then\nD0.f32 = v_min3_f32(S0.f32, S1.f32, S2.f32)\nelsif v_max3_f32(S0.f32, S1.f32, S2.f32) == S0.f32 then\nD0.f32 = v_max_f32(S1.f32, S2.f32)\nelsif v_max3_f32(S0.f32, S1.f32, S2.f32) == S1.f32 then\nD0.f32 = v_max_f32(S0.f32, S2.f32)\nelse\nD0.f32 = v_max_f32(S0.f32, S1.f32)\nendif",
VOP3AOp.V_MED3_I32: 'if v_max3_i32(S0.i32, S1.i32, S2.i32) == S0.i32 then\nD0.i32 = v_max_i32(S1.i32, S2.i32)\nelsif v_max3_i32(S0.i32, S1.i32, S2.i32) == S1.i32 then\nD0.i32 = v_max_i32(S0.i32, S2.i32)\nelse\nD0.i32 = v_max_i32(S0.i32, S1.i32)\nendif',
VOP3AOp.V_MED3_U32: 'if v_max3_u32(S0.u32, S1.u32, S2.u32) == S0.u32 then\nD0.u32 = v_max_u32(S1.u32, S2.u32)\nelsif v_max3_u32(S0.u32, S1.u32, S2.u32) == S1.u32 then\nD0.u32 = v_max_u32(S0.u32, S2.u32)\nelse\nD0.u32 = v_max_u32(S0.u32, S1.u32)\nendif',
VOP3AOp.V_SAD_U8: "ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += 32'U(ABSDIFF(S0.u32[7 : 0], S1.u32[7 : 0]));\ntmp += 32'U(ABSDIFF(S0.u32[15 : 8], S1.u32[15 : 8]));\ntmp += 32'U(ABSDIFF(S0.u32[23 : 16], S1.u32[23 : 16]));\ntmp += 32'U(ABSDIFF(S0.u32[31 : 24], S1.u32[31 : 24]));\nD0.u32 = tmp",
VOP3AOp.V_SAD_HI_U8: "D0.u32 = (32'U(v_sad_u8(S0, S1, 0U)) << 16U) + S2.u32",
VOP3AOp.V_SAD_U16: 'ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += ABSDIFF(S0[15 : 0].u16, S1[15 : 0].u16);\ntmp += ABSDIFF(S0[31 : 16].u16, S1[31 : 16].u16);\nD0.u32 = tmp',
VOP3AOp.V_SAD_U32: 'ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\nD0.u32 = ABSDIFF(S0.u32, S1.u32) + S2.u32',
VOP3AOp.V_CVT_PK_U8_F32: "tmp = (S2.u32 & 32'U(~(0xff << (S1.u32[1 : 0].u32 * 8U))));\ntmp = (tmp | ((32'U(f32_to_u8(S0.f32)) & 255U) << (S1.u32[1 : 0].u32 * 8U)));\nD0.u32 = tmp",
VOP3AOp.V_DIV_FIXUP_F32: "sign_out = (sign(S1.f32) ^ sign(S2.f32));\nif isNAN(64'F(S2.f32)) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S2.f32)))\nelsif isNAN(64'F(S1.f32)) then\nD0.f32 = 32'F(cvtToQuietNAN(64'F(S1.f32)))\nelsif ((64'F(S1.f32) == 0.0) && (64'F(S2.f32) == 0.0)) then\n// 0/0\nD0.f32 = 32'F(0xffc00000)\nelsif ((64'F(abs(S1.f32)) == +INF) && (64'F(abs(S2.f32)) == +INF)) then\n// inf/inf\nD0.f32 = 32'F(0xffc00000)\nelsif ((64'F(S1.f32) == 0.0) || (64'F(abs(S2.f32)) == +INF)) then\n// x/0, or inf/y\nD0.f32 = sign_out ? -INF.f32 : +INF.f32\nelsif ((64'F(abs(S1.f32)) == +INF) || (64'F(S2.f32) == 0.0)) then\n// x/inf, 0/y\nD0.f32 = sign_out ? -0.0F : 0.0F\nelsif exponent(S2.f32) - exponent(S1.f32) < -150 then\nD0.f32 = sign_out ? -UNDERFLOW_F32 : UNDERFLOW_F32\nelsif exponent(S1.f32) == 255 then\nD0.f32 = sign_out ? -OVERFLOW_F32 : OVERFLOW_F32\nelse\nD0.f32 = sign_out ? -abs(S0.f32) : abs(S0.f32)\nendif",
VOP3AOp.V_DIV_FIXUP_F64: "sign_out = (sign(S1.f64) ^ sign(S2.f64));\nif isNAN(S2.f64) then\nD0.f64 = cvtToQuietNAN(S2.f64)\nelsif isNAN(S1.f64) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif ((S1.f64 == 0.0) && (S2.f64 == 0.0)) then\n// 0/0\nD0.f64 = 64'F(0xfff8000000000000LL)\nelsif ((abs(S1.f64) == +INF) && (abs(S2.f64) == +INF)) then\n// inf/inf\nD0.f64 = 64'F(0xfff8000000000000LL)\nelsif ((S1.f64 == 0.0) || (abs(S2.f64) == +INF)) then\n// x/0, or inf/y\nD0.f64 = sign_out ? -INF : +INF\nelsif ((abs(S1.f64) == +INF) || (S2.f64 == 0.0)) then\n// x/inf, 0/y\nD0.f64 = sign_out ? -0.0 : 0.0\nelsif exponent(S2.f64) - exponent(S1.f64) < -1075 then\nD0.f64 = sign_out ? -UNDERFLOW_F64 : UNDERFLOW_F64\nelsif exponent(S1.f64) == 2047 then\nD0.f64 = sign_out ? -OVERFLOW_F64 : OVERFLOW_F64\nelse\nD0.f64 = sign_out ? -abs(S0.f64) : abs(S0.f64)\nendif",
VOP3AOp.V_DIV_FMAS_F32: 'if VCC.u64[laneId] then\nD0.f32 = 2.0F ** 32 * fma(S0.f32, S1.f32, S2.f32)\nelse\nD0.f32 = fma(S0.f32, S1.f32, S2.f32)\nendif',
VOP3AOp.V_DIV_FMAS_F64: 'if VCC.u64[laneId] then\nD0.f64 = 2.0 ** 64 * fma(S0.f64, S1.f64, S2.f64)\nelse\nD0.f64 = fma(S0.f64, S1.f64, S2.f64)\nendif',
VOP3AOp.V_MSAD_U8: "ABSDIFF = lambda(x, y) (\nx > y ? x - y : y - x);\n// UNSIGNED comparison\ntmp = S2.u32;\ntmp += S1.u32[7 : 0] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[7 : 0], S1.u32[7 : 0]));\ntmp += S1.u32[15 : 8] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[15 : 8], S1.u32[15 : 8]));\ntmp += S1.u32[23 : 16] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[23 : 16], S1.u32[23 : 16]));\ntmp += S1.u32[31 : 24] == 8'0U ? 0U : 32'U(ABSDIFF(S0.u32[31 : 24], S1.u32[31 : 24]));\nD0.u32 = tmp",
VOP3AOp.V_QSAD_PK_U16_U8: "tmp[63 : 48] = 16'B(v_sad_u8(S0[55 : 24], S1[31 : 0], S2[63 : 48].u32));\ntmp[47 : 32] = 16'B(v_sad_u8(S0[47 : 16], S1[31 : 0], S2[47 : 32].u32));\ntmp[31 : 16] = 16'B(v_sad_u8(S0[39 : 8], S1[31 : 0], S2[31 : 16].u32));\ntmp[15 : 0] = 16'B(v_sad_u8(S0[31 : 0], S1[31 : 0], S2[15 : 0].u32));\nD0.b64 = tmp.b64",
VOP3AOp.V_MQSAD_PK_U16_U8: "tmp[63 : 48] = 16'B(v_msad_u8(S0[55 : 24], S1[31 : 0], S2[63 : 48].u32));\ntmp[47 : 32] = 16'B(v_msad_u8(S0[47 : 16], S1[31 : 0], S2[47 : 32].u32));\ntmp[31 : 16] = 16'B(v_msad_u8(S0[39 : 8], S1[31 : 0], S2[31 : 16].u32));\ntmp[15 : 0] = 16'B(v_msad_u8(S0[31 : 0], S1[31 : 0], S2[15 : 0].u32));\nD0.b64 = tmp.b64",
VOP3AOp.V_MQSAD_U32_U8: "tmp[127 : 96] = 32'B(v_msad_u8(S0[55 : 24], S1[31 : 0], S2[127 : 96].u32));\ntmp[95 : 64] = 32'B(v_msad_u8(S0[47 : 16], S1[31 : 0], S2[95 : 64].u32));\ntmp[63 : 32] = 32'B(v_msad_u8(S0[39 : 8], S1[31 : 0], S2[63 : 32].u32));\ntmp[31 : 0] = 32'B(v_msad_u8(S0[31 : 0], S1[31 : 0], S2[31 : 0].u32));\nD0.b128 = tmp.b128",
VOP3AOp.V_MAD_LEGACY_F16: "tmp = S0.f16 * S1.f16 + S2.f16;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3AOp.V_MAD_LEGACY_U16: "tmp = S0.u16 * S1.u16 + S2.u16;\nif OPSEL.u4[3] then\nD0 = { tmp.u16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.u16 }\nendif",
VOP3AOp.V_MAD_LEGACY_I16: "tmp = S0.i16 * S1.i16 + S2.i16;\nif OPSEL.u4[3] then\nD0 = { tmp.i16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.i16 }\nendif",
VOP3AOp.V_PERM_B32: "BYTE_PERMUTE = lambda(data, sel) (\ndeclare in : 8'B[8];\nfor i in 0 : 7 do\nin[i] = data[i * 8 + 7 : i * 8].b8\nendfor;\nif sel.u32 >= 13U then\nreturn 8'0xff\nelsif sel.u32 == 12U then\nreturn 8'0x0\nelsif sel.u32 == 11U then\nreturn in[7][7].b8 * 8'0xff\nelsif sel.u32 == 10U then\nreturn in[5][7].b8 * 8'0xff\nelsif sel.u32 == 9U then\nreturn in[3][7].b8 * 8'0xff\nelsif sel.u32 == 8U then\nreturn in[1][7].b8 * 8'0xff\nelse\nreturn in[sel]\nendif);\nD0[31 : 24] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[31 : 24]);\nD0[23 : 16] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[23 : 16]);\nD0[15 : 8] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[15 : 8]);\nD0[7 : 0] = BYTE_PERMUTE({ S0.u32, S1.u32 }, S2.u32[7 : 0])",
VOP3AOp.V_FMA_LEGACY_F16: "tmp = fma(S0.f16, S1.f16, S2.f16);\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3AOp.V_DIV_FIXUP_LEGACY_F16: "sign_out = (sign(S1.f16) ^ sign(S2.f16));\nif isNAN(64'F(S2.f16)) then\ntmp = cvtToQuietNAN(64'F(S2.f16))\nelsif isNAN(64'F(S1.f16)) then\ntmp = cvtToQuietNAN(64'F(S1.f16))\nelsif ((64'F(S1.f16) == 0.0) && (64'F(S2.f16) == 0.0)) then\n// 0/0\ntmp = 16'F(0xfe00)\nelsif ((64'F(abs(S1.f16)) == +INF) && (64'F(abs(S2.f16)) == +INF)) then\n// inf/inf\ntmp = 16'F(0xfe00)\nelsif ((64'F(S1.f16) == 0.0) || (64'F(abs(S2.f16)) == +INF)) then\n// x/0, or inf/y\ntmp = sign_out ? -INF : +INF\nelsif ((64'F(abs(S1.f16)) == +INF) || (64'F(S2.f16) == 0.0)) then\n// x/inf, 0/y\ntmp = sign_out ? -0.0 : 0.0\nelse\ntmp = sign_out ? -abs(S0.f16) : abs(S0.f16)\nendif;\nif OPSEL.u4[3] then\nD0 = { tmp.f16, D0[15 : 0] }\nelse\nD0 = { 16'0, tmp.f16 }\nendif",
VOP3AOp.V_CVT_PKACCUM_U8_F32: "byte = S1.u32[1 : 0];\nbit = byte.u32 * 8U;\nD0.u32[bit + 7U : bit] = 32'U(f32_to_u8(S0.f32))",
VOP3AOp.V_MAD_U32_U16: "D0.u32 = 32'U(S0.u16) * 32'U(S1.u16) + S2.u32",
VOP3AOp.V_MAD_I32_I16: "D0.i32 = 32'I(S0.i16) * 32'I(S1.i16) + S2.i32",
VOP3AOp.V_XAD_U32: 'D0.u32 = (S0.u32 ^ S1.u32) + S2.u32',
VOP3AOp.V_MIN3_F16: 'D0.f16 = v_min_f16(v_min_f16(S0.f16, S1.f16), S2.f16)',
VOP3AOp.V_MIN3_I16: 'D0.i16 = v_min_i16(v_min_i16(S0.i16, S1.i16), S2.i16)',
VOP3AOp.V_MIN3_U16: 'D0.u16 = v_min_u16(v_min_u16(S0.u16, S1.u16), S2.u16)',
VOP3AOp.V_MAX3_F16: 'D0.f16 = v_max_f16(v_max_f16(S0.f16, S1.f16), S2.f16)',
VOP3AOp.V_MAX3_I16: 'D0.i16 = v_max_i16(v_max_i16(S0.i16, S1.i16), S2.i16)',
VOP3AOp.V_MAX3_U16: 'D0.u16 = v_max_u16(v_max_u16(S0.u16, S1.u16), S2.u16)',
VOP3AOp.V_MED3_F16: "if (isNAN(64'F(S0.f16)) || isNAN(64'F(S1.f16)) || isNAN(64'F(S2.f16))) then\nD0.f16 = v_min3_f16(S0.f16, S1.f16, S2.f16)\nelsif v_max3_f16(S0.f16, S1.f16, S2.f16) == S0.f16 then\nD0.f16 = v_max_f16(S1.f16, S2.f16)\nelsif v_max3_f16(S0.f16, S1.f16, S2.f16) == S1.f16 then\nD0.f16 = v_max_f16(S0.f16, S2.f16)\nelse\nD0.f16 = v_max_f16(S0.f16, S1.f16)\nendif",
VOP3AOp.V_MED3_I16: 'if v_max3_i16(S0.i16, S1.i16, S2.i16) == S0.i16 then\nD0.i16 = v_max_i16(S1.i16, S2.i16)\nelsif v_max3_i16(S0.i16, S1.i16, S2.i16) == S1.i16 then\nD0.i16 = v_max_i16(S0.i16, S2.i16)\nelse\nD0.i16 = v_max_i16(S0.i16, S1.i16)\nendif',
VOP3AOp.V_MED3_U16: 'if v_max3_u16(S0.u16, S1.u16, S2.u16) == S0.u16 then\nD0.u16 = v_max_u16(S1.u16, S2.u16)\nelsif v_max3_u16(S0.u16, S1.u16, S2.u16) == S1.u16 then\nD0.u16 = v_max_u16(S0.u16, S2.u16)\nelse\nD0.u16 = v_max_u16(S0.u16, S1.u16)\nendif',
VOP3AOp.V_LSHL_ADD_U32: 'D0.u32 = (S0.u32 << S1.u32[4 : 0].u32) + S2.u32',
VOP3AOp.V_ADD_LSHL_U32: 'D0.u32 = ((S0.u32 + S1.u32) << S2.u32[4 : 0].u32)',
VOP3AOp.V_ADD3_U32: 'D0.u32 = S0.u32 + S1.u32 + S2.u32',
VOP3AOp.V_LSHL_OR_B32: 'D0.u32 = ((S0.u32 << S1.u32[4 : 0].u32) | S2.u32)',
VOP3AOp.V_AND_OR_B32: 'D0.u32 = ((S0.u32 & S1.u32) | S2.u32)',
VOP3AOp.V_OR3_B32: 'D0.u32 = (S0.u32 | S1.u32 | S2.u32)',
VOP3AOp.V_MAD_F16: 'D0.f16 = S0.f16 * S1.f16 + S2.f16',
VOP3AOp.V_MAD_U16: 'D0.u16 = S0.u16 * S1.u16 + S2.u16',
VOP3AOp.V_MAD_I16: 'D0.i16 = S0.i16 * S1.i16 + S2.i16',
VOP3AOp.V_FMA_F16: 'D0.f16 = fma(S0.f16, S1.f16, S2.f16)',
VOP3AOp.V_DIV_FIXUP_F16: "sign_out = (sign(S1.f16) ^ sign(S2.f16));\nif isNAN(64'F(S2.f16)) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S2.f16)))\nelsif isNAN(64'F(S1.f16)) then\nD0.f16 = 16'F(cvtToQuietNAN(64'F(S1.f16)))\nelsif ((64'F(S1.f16) == 0.0) && (64'F(S2.f16) == 0.0)) then\n// 0/0\nD0.f16 = 16'F(0xfe00)\nelsif ((64'F(abs(S1.f16)) == +INF) && (64'F(abs(S2.f16)) == +INF)) then\n// inf/inf\nD0.f16 = 16'F(0xfe00)\nelsif ((64'F(S1.f16) == 0.0) || (64'F(abs(S2.f16)) == +INF)) then\n// x/0, or inf/y\nD0.f16 = sign_out ? -INF.f16 : +INF.f16\nelsif ((64'F(abs(S1.f16)) == +INF) || (64'F(S2.f16) == 0.0)) then\n// x/inf, 0/y\nD0.f16 = sign_out ? -16'0.0 : 16'0.0\nelse\nD0.f16 = sign_out ? -abs(S0.f16) : abs(S0.f16)\nendif",
VOP3AOp.V_LSHL_ADD_U64: 'D0.u64 = (S0.u64 << S1.u32[2 : 0].u32) + S2.u64',
VOP3AOp.V_BITOP3_B16: "TTBL = { INST.OMOD[1 : 0], INST.ABS[2 : 0], INST.NEG[2 : 0] };\ntmp = 16'0U;\ntmp = (tmp | (32'I(TTBL.b32 & 0x1) != 0 ? 16'U(~S0.b16 & ~S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x2) != 0 ? 16'U(~S0.b16 & ~S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x4) != 0 ? 16'U(~S0.b16 & S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x8) != 0 ? 16'U(~S0.b16 & S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x10) != 0 ? 16'U(S0.b16 & ~S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x20) != 0 ? 16'U(S0.b16 & ~S1.b16 & S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x40) != 0 ? 16'U(S0.b16 & S1.b16 & ~S2.b16) : 16'0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x80) != 0 ? 16'U(S0.b16 & S1.b16 & S2.b16) : 16'0U));\nD.b16 = tmp.b16",
VOP3AOp.V_BITOP3_B32: "TTBL = { INST.OMOD[1 : 0], INST.ABS[2 : 0], INST.NEG[2 : 0] };\ntmp = 0U;\ntmp = (tmp | (32'I(TTBL.b32 & 0x1) != 0 ? 32'U(~S0.b32 & ~S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x2) != 0 ? 32'U(~S0.b32 & ~S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x4) != 0 ? 32'U(~S0.b32 & S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x8) != 0 ? 32'U(~S0.b32 & S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x10) != 0 ? 32'U(S0.b32 & ~S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x20) != 0 ? 32'U(S0.b32 & ~S1.b32 & S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x40) != 0 ? 32'U(S0.b32 & S1.b32 & ~S2.b32) : 0U));\ntmp = (tmp | (32'I(TTBL.b32 & 0x80) != 0 ? 32'U(S0.b32 & S1.b32 & S2.b32) : 0U));\nD.b32 = tmp.b32",
VOP3AOp.V_CVT_SCALEF32_PK_FP8_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_fp8_scale(S0.f32, scale.u8);\ntmp1 = f32_to_fp8_scale(S1.f32, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_BF8_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_bf8_scale(S0.f32, scale.u8);\ntmp1 = f32_to_bf8_scale(S1.f32, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_FP8_F32: "scale = 32'U(exponent(S2.f32));\ntmp = f32_to_fp8_sr_scale(S0.f32, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_BF8_F32: "scale = 32'U(exponent(S2.f32));\ntmp = f32_to_bf8_sr_scale(S0.f32, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_F32_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_f32_scale(src[7 : 0].fp8, scale.u8);\ntmp1 = fp8_to_f32_scale(src[15 : 8].fp8, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3AOp.V_CVT_SCALEF32_PK_F32_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_f32_scale(src[7 : 0].bf8, scale.u8);\ntmp1 = bf8_to_f32_scale(src[15 : 8].bf8, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3AOp.V_CVT_SCALEF32_F32_FP8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].fp8;\ntmp = fp8_to_f32_scale(src, scale.u8);\nD0 = tmp.b32",
VOP3AOp.V_CVT_SCALEF32_F32_BF8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].bf8;\ntmp = bf8_to_f32_scale(src, scale.u8);\nD0 = tmp.b32",
VOP3AOp.V_CVT_SCALEF32_PK_FP4_F32: "scale = 32'U(exponent(S2.f32));\ntmp0 = f32_to_fp4_scale(S0.f32, scale.u8);\ntmp1 = f32_to_fp4_scale(S1.f32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_PK_FP4_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = f32_to_fp4_sr_scale(S0[31 : 0].f32, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = f32_to_fp4_sr_scale(S0[63 : 32].f32, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_F32_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_f32_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_f32_scale(src[7 : 4].fp4, scale.u8);\nD0[31 : 0].f32 = tmp0;\nD0[63 : 32].f32 = tmp1",
VOP3AOp.V_CVT_SCALEF32_PK_FP8_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_fp8_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_fp8_scale(S0[31 : 16].f16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_BF8_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_bf8_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_bf8_scale(S0[31 : 16].f16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_FP8_F16: "scale = 32'U(exponent(S2.f32));\ntmp = f16_to_fp8_sr_scale(S0.f16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_BF8_F16: "scale = 32'U(exponent(S2.f32));\ntmp = f16_to_bf8_sr_scale(S0.f16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_FP8_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_fp8_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_fp8_scale(S0[31 : 16].bf16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_BF8_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_bf8_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_bf8_scale(S0[31 : 16].bf16, scale.u8);\ndstword = OPSEL[3].i32 * 16;\nVGPR[laneId][VDST.u32][dstword + 15 : dstword].b16 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_FP8_BF16: "scale = 32'U(exponent(S2.f32));\ntmp = bf16_to_fp8_sr_scale(S0.bf16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].fp8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_BF8_BF16: "scale = 32'U(exponent(S2.f32));\ntmp = bf16_to_bf8_sr_scale(S0.bf16, S1.u32, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].bf8 = tmp;\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_F16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_f16_scale(src[7 : 0].fp8, scale.u8);\ntmp1 = fp8_to_f16_scale(src[15 : 8].fp8, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3AOp.V_CVT_SCALEF32_PK_F16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_f16_scale(src[7 : 0].bf8, scale.u8);\ntmp1 = bf8_to_f16_scale(src[15 : 8].bf8, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3AOp.V_CVT_SCALEF32_F16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].fp8;\ntmp = fp8_to_f16_scale(src, scale.u8);\n// OPSEL[3] controls destination hi/lo\nD0 = tmp.b32",
VOP3AOp.V_CVT_SCALEF32_F16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].bf8;\ntmp = bf8_to_f16_scale(src, scale.u8);\n// OPSEL[3] controls destination hi/lo\nD0 = tmp.b32",
VOP3AOp.V_CVT_SCALEF32_PK_FP4_F16: "scale = 32'U(exponent(S1.f32));\ntmp0 = f16_to_fp4_scale(S0[15 : 0].f16, scale.u8);\ntmp1 = f16_to_fp4_scale(S0[31 : 16].f16, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_FP4_BF16: "scale = 32'U(exponent(S1.f32));\ntmp0 = bf16_to_fp4_scale(S0[15 : 0].bf16, scale.u8);\ntmp1 = bf16_to_fp4_scale(S0[31 : 16].bf16, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_PK_FP4_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = f16_to_fp4_sr_scale(S0[15 : 0].f16, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = f16_to_fp4_sr_scale(S0[31 : 16].f16, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_SR_PK_FP4_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ntmp0 = bf16_to_fp4_sr_scale(S0[15 : 0].bf16, randomVal, scale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32));\ntmp1 = bf16_to_fp4_sr_scale(S0[31 : 16].bf16, randomVal, scale.u8);\ndstbyte = OPSEL[3 : 2].i32 * 8;\nVGPR[laneId][VDST.u32][dstbyte + 7 : dstbyte].b8 = { tmp1, tmp0 };\n// Other destination bits are preserved",
VOP3AOp.V_CVT_SCALEF32_PK_F16_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_f16_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_f16_scale(src[7 : 4].fp4, scale.u8);\nD0[15 : 0].f16 = tmp0;\nD0[31 : 16].f16 = tmp1",
VOP3AOp.V_CVT_SCALEF32_PK_BF16_FP4: "scale = 32'U(exponent(S1.f32));\nsrcbyte = OPSEL[1 : 0].i32 * 8;\nsrc = VGPR[laneId][SRC0.u32][srcbyte + 7 : srcbyte].b8;\ntmp0 = fp4_to_bf16_scale(src[3 : 0].fp4, scale.u8);\ntmp1 = fp4_to_bf16_scale(src[7 : 4].fp4, scale.u8);\nD0[15 : 0].bf16 = tmp0;\nD0[31 : 16].bf16 = tmp1",
VOP3AOp.V_CVT_SCALEF32_2XPK16_FP6_F32: "scale = 32'U(exponent(S2.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 15 do\ndOffset = pass * 12;\nsOffset = pass * 32;\n// Note that S0 and S1 inputs are interleaved in the packed result.\ntmp[dOffset + 5 : dOffset].fp6 = f32_to_fp6_scale(S0[sOffset + 31 : sOffset].f32, scale.u8);\ntmp[dOffset + 11 : dOffset + 6].fp6 = f32_to_fp6_scale(S1[sOffset + 31 : sOffset].f32, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_2XPK16_BF6_F32: "scale = 32'U(exponent(S2.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 15 do\ndOffset = pass * 12;\nsOffset = pass * 32;\n// Note that S0 and S1 inputs are interleaved in the packed result.\ntmp[dOffset + 5 : dOffset].bf6 = f32_to_bf6_scale(S0[sOffset + 31 : sOffset].f32, scale.u8);\ntmp[dOffset + 11 : dOffset + 6].bf6 = f32_to_bf6_scale(S1[sOffset + 31 : sOffset].f32, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_FP6_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 32;\ntmp[dOffset + 5 : dOffset].fp6 = f32_to_fp6_sr_scale(S0[sOffset + 31 : sOffset].f32, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_BF6_F32: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 32;\ntmp[dOffset + 5 : dOffset].bf6 = f32_to_bf6_sr_scale(S0[sOffset + 31 : sOffset].f32, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_PK32_F32_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 1024'B;\nfor pass in 0 : 31 do\ndOffset = pass * 32;\nsOffset = pass * 6;\ntmp[dOffset + 31 : dOffset].f32 = fp6_to_f32_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[1023 : 0] = tmp.b1024",
VOP3AOp.V_CVT_SCALEF32_PK32_F32_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 1024'B;\nfor pass in 0 : 31 do\ndOffset = pass * 32;\nsOffset = pass * 6;\ntmp[dOffset + 31 : dOffset].f32 = bf6_to_f32_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[1023 : 0] = tmp.b1024",
VOP3AOp.V_CVT_SCALEF32_PK32_FP6_F16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = f16_to_fp6_scale(S0[sOffset + 15 : sOffset].f16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_PK32_FP6_BF16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = bf16_to_fp6_scale(S0[sOffset + 15 : sOffset].bf16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_PK32_BF6_F16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = f16_to_bf6_scale(S0[sOffset + 15 : sOffset].f16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_PK32_BF6_BF16: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = bf16_to_bf6_scale(S0[sOffset + 15 : sOffset].bf16, scale.u8)\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_FP6_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = f16_to_fp6_sr_scale(S0[sOffset + 15 : sOffset].f16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_FP6_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].fp6 = bf16_to_fp6_sr_scale(S0[sOffset + 15 : sOffset].bf16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_BF6_F16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = f16_to_bf6_sr_scale(S0[sOffset + 15 : sOffset].f16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_SR_PK32_BF6_BF16: "scale = 32'U(exponent(S2.f32));\nrandomVal = S1.u32;\ndeclare tmp : 192'B;\nfor pass in 0 : 31 do\ndOffset = pass * 6;\nsOffset = pass * 16;\ntmp[dOffset + 5 : dOffset].bf6 = bf16_to_bf6_sr_scale(S0[sOffset + 15 : sOffset].bf16, randomVal,\nscale.u8);\nrandomVal = 32'U(v_prng_b32(randomVal.b32))\nendfor;\nD0[191 : 0] = tmp.b192",
VOP3AOp.V_CVT_SCALEF32_PK32_F16_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].f16 = fp6_to_f16_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3AOp.V_CVT_SCALEF32_PK32_BF16_FP6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].bf16 = fp6_to_bf16_scale(S0[sOffset + 5 : sOffset].fp6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3AOp.V_CVT_SCALEF32_PK32_F16_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].f16 = bf6_to_f16_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3AOp.V_CVT_SCALEF32_PK32_BF16_BF6: "scale = 32'U(exponent(S1.f32));\ndeclare tmp : 512'B;\nfor pass in 0 : 31 do\ndOffset = pass * 16;\nsOffset = pass * 6;\ntmp[dOffset + 15 : dOffset].bf16 = bf6_to_bf16_scale(S0[sOffset + 5 : sOffset].bf6, scale.u8)\nendfor;\nD0[511 : 0] = tmp.b512",
VOP3AOp.V_ASHR_PK_I8_I32: "SAT8 = lambda(n) (\nif n <= -128 then\nreturn 8'0x80\nelsif n >= 127 then\nreturn 8'0x7f\nelse\nreturn n[7 : 0].b8\nendif);\ndeclare tmp : 16'B;\ntmp[7 : 0] = SAT8(S0.i32 >> S2[4 : 0].u32);\ntmp[15 : 8] = SAT8(S1.i32 >> S2[4 : 0].u32);\nD0[15 : 0] = tmp",
VOP3AOp.V_ASHR_PK_U8_I32: "SAT8 = lambda(n) (\nif n <= 0 then\nreturn 8'0x0\nelsif n >= 255 then\nreturn 8'0xff\nelse\nreturn n[7 : 0].b8\nendif);\ndeclare tmp : 16'B;\ntmp[7 : 0] = SAT8(S0.i32 >> S2[4 : 0].u32);\ntmp[15 : 8] = SAT8(S1.i32 >> S2[4 : 0].u32);\nD0[15 : 0] = tmp",
VOP3AOp.V_CVT_PK_F16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ntmp[15 : 0].f16 = f32_to_f16(S0.f32);\ntmp[31 : 16].f16 = f32_to_f16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode',
VOP3AOp.V_CVT_PK_BF16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ntmp[15 : 0].bf16 = f32_to_bf16(S0.f32);\ntmp[31 : 16].bf16 = f32_to_bf16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode',
VOP3AOp.V_CVT_SCALEF32_PK_BF16_FP8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = fp8_to_bf16_scale(src[7 : 0].fp8, scale);\ntmp1 = fp8_to_bf16_scale(src[15 : 8].fp8, scale);\nD0[15 : 0].bf16 = tmp0.bf16;\nD0[31 : 16].bf16 = tmp1.bf16",
VOP3AOp.V_CVT_SCALEF32_PK_BF16_BF8: "scale = 32'U(exponent(S1.f32));\nsrcword = OPSEL[0].i32 * 16;\nsrc = VGPR[laneId][SRC0.u32][srcword + 15 : srcword].b16;\ntmp0 = bf8_to_bf16_scale(src[7 : 0].bf8, scale);\ntmp1 = bf8_to_bf16_scale(src[15 : 8].bf8, scale);\nD0[15 : 0].bf16 = tmp0.bf16;\nD0[31 : 16].bf16 = tmp1.bf16",
VOP3AOp.V_ADD_F64: 'D0.f64 = S0.f64 + S1.f64',
VOP3AOp.V_MUL_F64: 'D0.f64 = S0.f64 * S1.f64',
VOP3AOp.V_MIN_F64: "if (WAVE_MODE.IEEE && isSignalNAN(S0.f64)) then\nD0.f64 = cvtToQuietNAN(S0.f64)\nelsif (WAVE_MODE.IEEE && isSignalNAN(S1.f64)) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif isNAN(S0.f64) then\nD0.f64 = S1.f64\nelsif isNAN(S1.f64) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == +0.0) && (S1.f64 == -0.0)) then\nD0.f64 = S1.f64\nelsif ((S0.f64 == -0.0) && (S1.f64 == +0.0)) then\nD0.f64 = S0.f64\nelse\n// Note: there's no IEEE case here like there is for V_MAX_F64.\nD0.f64 = S0.f64 < S1.f64 ? S0.f64 : S1.f64\nendif",
VOP3AOp.V_MAX_F64: 'if (WAVE_MODE.IEEE && isSignalNAN(S0.f64)) then\nD0.f64 = cvtToQuietNAN(S0.f64)\nelsif (WAVE_MODE.IEEE && isSignalNAN(S1.f64)) then\nD0.f64 = cvtToQuietNAN(S1.f64)\nelsif isNAN(S0.f64) then\nD0.f64 = S1.f64\nelsif isNAN(S1.f64) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == +0.0) && (S1.f64 == -0.0)) then\nD0.f64 = S0.f64\nelsif ((S0.f64 == -0.0) && (S1.f64 == +0.0)) then\nD0.f64 = S1.f64\nelsif WAVE_MODE.IEEE then\nD0.f64 = S0.f64 >= S1.f64 ? S0.f64 : S1.f64\nelse\nD0.f64 = S0.f64 > S1.f64 ? S0.f64 : S1.f64\nendif',
VOP3AOp.V_LDEXP_F64: 'D0.f64 = S0.f64 * 2.0 ** S1.i32',
VOP3AOp.V_MUL_LO_U32: 'D0.u32 = S0.u32 * S1.u32',
VOP3AOp.V_MUL_HI_U32: "D0.u32 = 32'U((64'U(S0.u32) * 64'U(S1.u32)) >> 32U)",
VOP3AOp.V_MUL_HI_I32: "D0.i32 = 32'I((64'I(S0.i32) * 64'I(S1.i32)) >> 32U)",
VOP3AOp.V_LDEXP_F32: 'D0.f32 = S0.f32 * 2.0F ** S1.i32',
VOP3AOp.V_READLANE_B32: 'lane = S1.u32[5 : 0];\n// Lane select\nD0.b32 = VGPR[lane][SRC0.u32]',
VOP3AOp.V_WRITELANE_B32: 'lane = S1.u32[5 : 0];\n// Lane select\nVGPR[lane][VDST.u32] = S0.b32',
VOP3AOp.V_BCNT_U32_B32: "tmp = S1.u32;\nfor i in 0 : 31 do\ntmp += S0[i].u32;\n// count i'th bit\nendfor;\nD0.u32 = tmp",
VOP3AOp.V_MBCNT_LO_U32_B32: "ThreadMask = (1LL << laneId.u32) - 1LL;\nMaskedValue = (S0.u32 & ThreadMask[31 : 0].u32);\ntmp = S1.u32;\nfor i in 0 : 31 do\ntmp += MaskedValue[i] == 1'1U ? 1U : 0U\nendfor;\nD0.u32 = tmp",
VOP3AOp.V_MBCNT_HI_U32_B32: "ThreadMask = (1LL << laneId.u32) - 1LL;\nMaskedValue = (S0.u32 & ThreadMask[63 : 32].u32);\ntmp = S1.u32;\nfor i in 0 : 31 do\ntmp += MaskedValue[i] == 1'1U ? 1U : 0U\nendfor;\nD0.u32 = tmp",
VOP3AOp.V_LSHLREV_B64: 'D0.u64 = (S1.u64 << S0[5 : 0].u32)',
VOP3AOp.V_LSHRREV_B64: 'D0.u64 = (S1.u64 >> S0[5 : 0].u32)',
VOP3AOp.V_ASHRREV_I64: 'D0.i64 = (S1.i64 >> S0[5 : 0].u32)',
VOP3AOp.V_TRIG_PREOP_F64: "shift = 32'I(S1[4 : 0].u32) * 53;\nif exponent(S0.f64) > 1077 then\nshift += exponent(S0.f64) - 1077\nendif;\n// (2.0/PI) == 0.{b_1200, b_1199, b_1198, ..., b_1, b_0}\n// b_1200 is the MSB of the fractional part of 2.0/PI\n// Left shift operation indicates which bits are brought\n// into the whole part of the number.\n// Only whole part of result is kept.\nresult = 64'F((1201'B(2.0 / PI)[1200 : 0] << shift.u32) & 1201'0x1fffffffffffff);\nscale = -53 - shift;\nif exponent(S0.f64) >= 1968 then\nscale += 128\nendif;\nD0.f64 = ldexp(result, scale)",
VOP3AOp.V_BFM_B32: 'D0.u32 = (((1U << S0[4 : 0].u32) - 1U) << S1[4 : 0].u32)',
VOP3AOp.V_CVT_PKNORM_I16_F32: "declare tmp : 32'B;\ntmp[15 : 0].i16 = f32_to_snorm(S0.f32);\ntmp[31 : 16].i16 = f32_to_snorm(S1.f32);\nD0 = tmp.b32",
VOP3AOp.V_CVT_PKNORM_U16_F32: "declare tmp : 32'B;\ntmp[15 : 0].u16 = f32_to_unorm(S0.f32);\ntmp[31 : 16].u16 = f32_to_unorm(S1.f32);\nD0 = tmp.b32",
VOP3AOp.V_CVT_PKRTZ_F16_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_TOWARD_ZERO;\ntmp[15 : 0].f16 = f32_to_f16(S0.f32);\ntmp[31 : 16].f16 = f32_to_f16(S1.f32);\nD0 = tmp.b32;\nROUND_MODE = prev_mode;\n// Round-toward-zero regardless of current round mode setting in hardware.',
VOP3AOp.V_CVT_PK_U16_U32: "declare tmp : 32'B;\ntmp[15 : 0].u16 = u32_to_u16(S0.u32);\ntmp[31 : 16].u16 = u32_to_u16(S1.u32);\nD0 = tmp.b32",
VOP3AOp.V_CVT_PK_I16_I32: "declare tmp : 32'B;\ntmp[15 : 0].i16 = i32_to_i16(S0.i32);\ntmp[31 : 16].i16 = i32_to_i16(S1.i32);\nD0 = tmp.b32",
VOP3AOp.V_CVT_PKNORM_I16_F16: "declare tmp : 32'B;\ntmp[15 : 0].i16 = f16_to_snorm(S0.f16);\ntmp[31 : 16].i16 = f16_to_snorm(S1.f16);\nD0 = tmp.b32",
VOP3AOp.V_CVT_PKNORM_U16_F16: "declare tmp : 32'B;\ntmp[15 : 0].u16 = f16_to_unorm(S0.f16);\ntmp[31 : 16].u16 = f16_to_unorm(S1.f16);\nD0 = tmp.b32",
VOP3AOp.V_ADD_I32: 'D0.i32 = S0.i32 + S1.i32',
VOP3AOp.V_SUB_I32: 'D0.i32 = S0.i32 - S1.i32',
VOP3AOp.V_ADD_I16: 'D0.i16 = S0.i16 + S1.i16',
VOP3AOp.V_SUB_I16: 'D0.i16 = S0.i16 - S1.i16',
VOP3AOp.V_PACK_B32_F16: 'D0[31 : 16].f16 = S1.f16;\nD0[15 : 0].f16 = S0.f16',
VOP3AOp.V_MUL_LEGACY_F32: "if ((64'F(S0.f32) == 0.0) || (64'F(S1.f32) == 0.0)) then\n// DX9 rules, 0.0 * x = 0.0\nD0.f32 = 0.0F\nelse\nD0.f32 = S0.f32 * S1.f32\nendif",
VOP3AOp.V_CVT_PK_FP8_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u32 == 0U then\nVGPR[laneId][VDST.u32][15 : 0].b16 = { f32_to_fp8(S1.f32), f32_to_fp8(S0.f32) };\n// D0[31:16] are preserved\nelse\nVGPR[laneId][VDST.u32][31 : 16].b16 = { f32_to_fp8(S1.f32), f32_to_fp8(S0.f32) };\n// D0[15:0] are preserved\nendif;\nROUND_MODE = prev_mode',
VOP3AOp.V_CVT_PK_BF8_F32: 'prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u32 == 0U then\nVGPR[laneId][VDST.u32][15 : 0].b16 = { f32_to_bf8(S1.f32), f32_to_bf8(S0.f32) };\n// D0[31:16] are preserved\nelse\nVGPR[laneId][VDST.u32][31 : 16].b16 = { f32_to_bf8(S1.f32), f32_to_bf8(S0.f32) };\n// D0[15:0] are preserved\nendif;\nROUND_MODE = prev_mode',
VOP3AOp.V_CVT_SR_FP8_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ns = sign(S0.f32);\ne = exponent(S0.f32);\nm = 23'U(32'U(23'B(mantissa(S0.f32))) + S1[31 : 12].u32);\ntmp = float32(s, e, m);\n// Add stochastic value to mantissa, wrap around on overflow\nif OPSEL[3 : 2].u2 == 2'0U then\nVGPR[laneId][VDST.u32][7 : 0].fp8 = f32_to_fp8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'1U then\nVGPR[laneId][VDST.u32][15 : 8].fp8 = f32_to_fp8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'2U then\nVGPR[laneId][VDST.u32][23 : 16].fp8 = f32_to_fp8(tmp.f32)\nelse\nVGPR[laneId][VDST.u32][31 : 24].fp8 = f32_to_fp8(tmp.f32)\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3AOp.V_CVT_SR_BF8_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\ns = sign(S0.f32);\ne = exponent(S0.f32);\nm = 23'U(32'U(23'B(mantissa(S0.f32))) + S1[31 : 11].u32);\ntmp = float32(s, e, m);\n// Add stochastic value to mantissa, wrap around on overflow\nif OPSEL[3 : 2].u2 == 2'0U then\nVGPR[laneId][VDST.u32][7 : 0].bf8 = f32_to_bf8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'1U then\nVGPR[laneId][VDST.u32][15 : 8].bf8 = f32_to_bf8(tmp.f32)\nelsif OPSEL[3 : 2].u2 == 2'2U then\nVGPR[laneId][VDST.u32][23 : 16].bf8 = f32_to_bf8(tmp.f32)\nelse\nVGPR[laneId][VDST.u32][31 : 24].bf8 = f32_to_bf8(tmp.f32)\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3AOp.V_CVT_SR_F16_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u2 == 2'0U then\nVGPR[laneId][VDST.u32][15 : 0].f16 = 16'F(f32_to_f16_SR(S0.f32, S1.u32))\nelse\nVGPR[laneId][VDST.u32][31 : 16].f16 = 16'F(f32_to_f16_sr(S0.f32, S1.u32))\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3AOp.V_CVT_SR_BF16_F32: "prev_mode = ROUND_MODE;\nROUND_MODE = ROUND_NEAREST_EVEN;\nif OPSEL[3].u2 == 2'0U then\nVGPR[laneId][VDST.u32][15 : 0].bf16 = 16'BF(f32_to_bf16_SR(S0.f32, S1.u32))\nelse\nVGPR[laneId][VDST.u32][31 : 16].bf16 = 16'BF(f32_to_bf16_sr(S0.f32, S1.u32))\nendif;\n// Unwritten bytes of D are preserved.\nROUND_MODE = prev_mode",
VOP3AOp.V_MINIMUM3_F32: "D0.f32 = 32'F(v_minimum_f32(v_minimum_f32(S0.f32, S1.f32), S2.f32))",
VOP3AOp.V_MAXIMUM3_F32: "D0.f32 = 32'F(v_maximum_f32(v_maximum_f32(S0.f32, S1.f32), S2.f32))",
VOP3BOp.V_ADD_CO_U32: "tmp = 64'U(S0.u32) + 64'U(S1.u32);\nVCC.u64[laneId] = tmp >= 0x100000000ULL ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_ADDC_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_SUB_CO_U32: "tmp = S0.u32 - S1.u32;\nVCC.u64[laneId] = S1.u32 > S0.u32 ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_SUBREV_CO_U32: "tmp = S1.u32 - S0.u32;\nVCC.u64[laneId] = S0.u32 > S1.u32 ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_ADDC_CO_U32: "tmp = 64'U(S0.u32) + 64'U(S1.u32) + VCC.u64[laneId].u64;\nVCC.u64[laneId] = tmp >= 0x100000000ULL ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_ADDC_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_SUBB_CO_U32: "tmp = S0.u32 - S1.u32 - VCC.u64[laneId].u32;\nVCC.u64[laneId] = 64'U(S1.u32) + VCC.u64[laneId].u64 > 64'U(S0.u32) ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_SUBBREV_CO_U32: "tmp = S1.u32 - S0.u32 - VCC.u64[laneId].u32;\nVCC.u64[laneId] = 64'U(S0.u32) + VCC.u64[laneId].u64 > 64'U(S1.u32) ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3BOp.V_DIV_SCALE_F32: "VCC = 0x0LL;\nif ((64'F(S2.f32) == 0.0) || (64'F(S1.f32) == 0.0)) then\nD0.f32 = NAN.f32\nelsif exponent(S2.f32) - exponent(S1.f32) >= 96 then\n// N/D near MAX_FLOAT_F32\nVCC = 0x1LL;\nif S0.f32 == S1.f32 then\n// Only scale the denominator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif S1.f32 == DENORM.f32 then\nD0.f32 = ldexp(S0.f32, 64)\nelsif ((1.0 / 64'F(S1.f32) == DENORM.f64) && (S2.f32 / S1.f32 == DENORM.f32)) then\nVCC = 0x1LL;\nif S0.f32 == S1.f32 then\n// Only scale the denominator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif 1.0 / 64'F(S1.f32) == DENORM.f64 then\nD0.f32 = ldexp(S0.f32, -64)\nelsif S2.f32 / S1.f32 == DENORM.f32 then\nVCC = 0x1LL;\nif S0.f32 == S2.f32 then\n// Only scale the numerator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif exponent(S2.f32) <= 23 then\n// Numerator is tiny\nD0.f32 = ldexp(S0.f32, 64)\nendif",
VOP3BOp.V_DIV_SCALE_F64: 'VCC = 0x0LL;\nif ((S2.f64 == 0.0) || (S1.f64 == 0.0)) then\nD0.f64 = NAN.f64\nelsif exponent(S2.f64) - exponent(S1.f64) >= 768 then\n// N/D near MAX_FLOAT_F64\nVCC = 0x1LL;\nif S0.f64 == S1.f64 then\n// Only scale the denominator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif S1.f64 == DENORM.f64 then\nD0.f64 = ldexp(S0.f64, 128)\nelsif ((1.0 / S1.f64 == DENORM.f64) && (S2.f64 / S1.f64 == DENORM.f64)) then\nVCC = 0x1LL;\nif S0.f64 == S1.f64 then\n// Only scale the denominator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif 1.0 / S1.f64 == DENORM.f64 then\nD0.f64 = ldexp(S0.f64, -128)\nelsif S2.f64 / S1.f64 == DENORM.f64 then\nVCC = 0x1LL;\nif S0.f64 == S2.f64 then\n// Only scale the numerator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif exponent(S2.f64) <= 53 then\n// Numerator is tiny\nD0.f64 = ldexp(S0.f64, 128)\nendif',
VOP3BOp.V_MAD_U64_U32: "{ D1.u1, D0.u64 } = 65'B(65'U(S0.u32) * 65'U(S1.u32) + 65'U(S2.u64))",
VOP3BOp.V_MAD_I64_I32: "{ D1.i1, D0.i64 } = 65'B(65'I(S0.i32) * 65'I(S1.i32) + 65'I(S2.i64))",
VOP3POp.V_PK_MAD_I16: "declare tmp : 32'B;\ntmp[15 : 0].i16 = S0[15 : 0].i16 * S1[15 : 0].i16 + S2[15 : 0].i16;\ntmp[31 : 16].i16 = S0[31 : 16].i16 * S1[31 : 16].i16 + S2[31 : 16].i16;\nD0.b32 = tmp",
VOP3POp.V_PK_MUL_LO_U16: 'tmp[31 : 16].u16 = S0[31 : 16].u16 * S1[31 : 16].u16;\ntmp[15 : 0].u16 = S0[15 : 0].u16 * S1[15 : 0].u16;\nD0.b32 = tmp.b32',
VOP3POp.V_PK_ADD_I16: "declare tmp : 32'B;\ntmp[15 : 0].i16 = S0[15 : 0].i16 + S1[15 : 0].i16;\ntmp[31 : 16].i16 = S0[31 : 16].i16 + S1[31 : 16].i16;\nD0.b32 = tmp",
@@ -1236,16 +1246,6 @@ PCODE = {
VOP3POp.V_SMFMAC_F32_32X32X32_BF8_FP8: 'D = A (sparse 32x32) * B (32x32) + D (32x32)',
VOP3POp.V_SMFMAC_F32_32X32X32_FP8_BF8: 'D = A (sparse 32x32) * B (32x32) + D (32x32)',
VOP3POp.V_SMFMAC_F32_32X32X32_FP8_FP8: 'D = A (sparse 32x32) * B (32x32) + D (32x32)',
VOP3SDOp.V_ADD_CO_U32: "tmp = 64'U(S0.u32) + 64'U(S1.u32);\nVCC.u64[laneId] = tmp >= 0x100000000ULL ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_ADDC_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_SUB_CO_U32: "tmp = S0.u32 - S1.u32;\nVCC.u64[laneId] = S1.u32 > S0.u32 ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_SUBREV_CO_U32: "tmp = S1.u32 - S0.u32;\nVCC.u64[laneId] = S0.u32 > S1.u32 ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_ADDC_CO_U32: "tmp = 64'U(S0.u32) + 64'U(S1.u32) + VCC.u64[laneId].u64;\nVCC.u64[laneId] = tmp >= 0x100000000ULL ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_ADDC_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_SUBB_CO_U32: "tmp = S0.u32 - S1.u32 - VCC.u64[laneId].u32;\nVCC.u64[laneId] = 64'U(S1.u32) + VCC.u64[laneId].u64 > 64'U(S0.u32) ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_SUBBREV_CO_U32: "tmp = S1.u32 - S0.u32 - VCC.u64[laneId].u32;\nVCC.u64[laneId] = 64'U(S0.u32) + VCC.u64[laneId].u64 > 64'U(S1.u32) ? 1'1U : 1'0U;\n// VCC is an UNSIGNED overflow/carry-out for V_SUBB_CO_U32.\nD0.u32 = tmp.u32",
VOP3SDOp.V_DIV_SCALE_F32: "VCC = 0x0LL;\nif ((64'F(S2.f32) == 0.0) || (64'F(S1.f32) == 0.0)) then\nD0.f32 = NAN.f32\nelsif exponent(S2.f32) - exponent(S1.f32) >= 96 then\n// N/D near MAX_FLOAT_F32\nVCC = 0x1LL;\nif S0.f32 == S1.f32 then\n// Only scale the denominator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif S1.f32 == DENORM.f32 then\nD0.f32 = ldexp(S0.f32, 64)\nelsif ((1.0 / 64'F(S1.f32) == DENORM.f64) && (S2.f32 / S1.f32 == DENORM.f32)) then\nVCC = 0x1LL;\nif S0.f32 == S1.f32 then\n// Only scale the denominator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif 1.0 / 64'F(S1.f32) == DENORM.f64 then\nD0.f32 = ldexp(S0.f32, -64)\nelsif S2.f32 / S1.f32 == DENORM.f32 then\nVCC = 0x1LL;\nif S0.f32 == S2.f32 then\n// Only scale the numerator\nD0.f32 = ldexp(S0.f32, 64)\nendif\nelsif exponent(S2.f32) <= 23 then\n// Numerator is tiny\nD0.f32 = ldexp(S0.f32, 64)\nendif",
VOP3SDOp.V_DIV_SCALE_F64: 'VCC = 0x0LL;\nif ((S2.f64 == 0.0) || (S1.f64 == 0.0)) then\nD0.f64 = NAN.f64\nelsif exponent(S2.f64) - exponent(S1.f64) >= 768 then\n// N/D near MAX_FLOAT_F64\nVCC = 0x1LL;\nif S0.f64 == S1.f64 then\n// Only scale the denominator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif S1.f64 == DENORM.f64 then\nD0.f64 = ldexp(S0.f64, 128)\nelsif ((1.0 / S1.f64 == DENORM.f64) && (S2.f64 / S1.f64 == DENORM.f64)) then\nVCC = 0x1LL;\nif S0.f64 == S1.f64 then\n// Only scale the denominator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif 1.0 / S1.f64 == DENORM.f64 then\nD0.f64 = ldexp(S0.f64, -128)\nelsif S2.f64 / S1.f64 == DENORM.f64 then\nVCC = 0x1LL;\nif S0.f64 == S2.f64 then\n// Only scale the numerator\nD0.f64 = ldexp(S0.f64, 128)\nendif\nelsif exponent(S2.f64) <= 53 then\n// Numerator is tiny\nD0.f64 = ldexp(S0.f64, 128)\nendif',
VOP3SDOp.V_MAD_U64_U32: "{ D1.u1, D0.u64 } = 65'B(65'U(S0.u32) * 65'U(S1.u32) + 65'U(S2.u64))",
VOP3SDOp.V_MAD_I64_I32: "{ D1.i1, D0.i64 } = 65'B(65'I(S0.i32) * 65'I(S1.i32) + 65'I(S2.i64))",
VOPCOp.V_CMP_CLASS_F32_E32: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
VOPCOp.V_CMPX_CLASS_F32_E32: "declare result : 1'U;\nif isSignalNAN(64'F(S0.f32)) then\nresult = S1.u32[0]\nelsif isQuietNAN(64'F(S0.f32)) then\nresult = S1.u32[1]\nelsif exponent(S0.f32) == 255 then\n// +-INF\nresult = S1.u32[sign(S0.f32) ? 2 : 9]\nelsif exponent(S0.f32) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f32) ? 3 : 8]\nelsif 64'F(abs(S0.f32)) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f32) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f32) ? 5 : 6]\nendif;\nEXEC.u64[laneId] = D0.u64[laneId] = result",
VOPCOp.V_CMP_CLASS_F64_E32: "declare result : 1'U;\nif isSignalNAN(S0.f64) then\nresult = S1.u32[0]\nelsif isQuietNAN(S0.f64) then\nresult = S1.u32[1]\nelsif exponent(S0.f64) == 2047 then\n// +-INF\nresult = S1.u32[sign(S0.f64) ? 2 : 9]\nelsif exponent(S0.f64) > 0 then\n// +-normal value\nresult = S1.u32[sign(S0.f64) ? 3 : 8]\nelsif abs(S0.f64) > 0.0 then\n// +-denormal value\nresult = S1.u32[sign(S0.f64) ? 4 : 7]\nelse\n// +-0.0\nresult = S1.u32[sign(S0.f64) ? 5 : 6]\nendif;\nD0.u64[laneId] = result;\n// D0 = VCC in VOPC encoding.",
@@ -1,10 +1,6 @@
# autogenerated from AMD ISA XML - do not edit
from enum import Enum, auto
class ReprEnum(Enum):
"""Enum with clean repr that roundtrips with eval()."""
def __repr__(self): return f"{type(self).__name__}.{self.name}"
class Fmt(Enum):
FMT_ANY = auto()
FMT_BUF = auto()
@@ -1,7 +1,8 @@
# autogenerated from AMD ISA XML - do not edit
from tinygrad.runtime.autogen.amd.common import ReprEnum, Fmt, FMT_BITS, OpType # noqa: F401
from enum import Enum
from extra.assembly.amd.autogen.common import Fmt, FMT_BITS, OpType # noqa: F401
class DSOp(ReprEnum):
class DSOp(Enum):
DS_ADD_U32 = 0
DS_SUB_U32 = 1
DS_RSUB_U32 = 2
@@ -129,10 +130,10 @@ class DSOp(ReprEnum):
DS_LOAD_B96 = 254
DS_LOAD_B128 = 255
class EXPOp(ReprEnum):
class EXPOp(Enum):
EXP = 0
class FLATOp(ReprEnum):
class FLATOp(Enum):
FLAT_LOAD_U8 = 16
FLAT_LOAD_I8 = 17
FLAT_LOAD_U16 = 18
@@ -190,7 +191,7 @@ class FLATOp(ReprEnum):
FLAT_ATOMIC_MAX_F32 = 82
FLAT_ATOMIC_ADD_F32 = 86
class GLOBALOp(ReprEnum):
class GLOBALOp(Enum):
GLOBAL_LOAD_U8 = 16
GLOBAL_LOAD_I8 = 17
GLOBAL_LOAD_U16 = 18
@@ -253,37 +254,11 @@ class GLOBALOp(ReprEnum):
GLOBAL_ATOMIC_MAX_F32 = 82
GLOBAL_ATOMIC_ADD_F32 = 86
class HWREG(ReprEnum):
HW_REG_MODE = 1
HW_REG_STATUS = 2
HW_REG_TRAPSTS = 3
HW_REG_GPR_ALLOC = 5
HW_REG_LDS_ALLOC = 6
HW_REG_IB_STS = 7
HW_REG_PC_LO = 8
HW_REG_PC_HI = 9
HW_REG_IB_DBG1 = 13
HW_REG_FLUSH_IB = 14
HW_REG_SH_MEM_BASES = 15
HW_REG_SHADER_TBA_LO = 16
HW_REG_SHADER_TBA_HI = 17
HW_REG_PERF_SNAPSHOT_PC_LO = 18
HW_REG_PERF_SNAPSHOT_PC_HI = 19
HW_REG_SHADER_FLAT_SCRATCH_LO = 20
HW_REG_SHADER_FLAT_SCRATCH_HI = 21
HW_REG_HW_ID1 = 23
HW_REG_HW_ID2 = 24
HW_REG_POPS_PACKER = 25
HW_REG_SCHED_MODE = 26
HW_REG_PERF_SNAPSHOT_DATA = 27
HW_REG_IB_STS2 = 28
HW_REG_SHADER_CYCLES = 29
class LDSDIROp(ReprEnum):
class LDSDIROp(Enum):
LDS_PARAM_LOAD = 0
LDS_DIRECT_LOAD = 1
class MIMGOp(ReprEnum):
class MIMGOp(Enum):
IMAGE_LOAD = 0
IMAGE_LOAD_MIP = 1
IMAGE_LOAD_PCK = 2
@@ -369,17 +344,7 @@ class MIMGOp(ReprEnum):
IMAGE_GATHER4_C_B_CL = 101
IMAGE_GATHER4H = 144
class MSG(ReprEnum):
MSG_RTN_GET_DOORBELL = 128
MSG_RTN_GET_DDID = 129
MSG_RTN_GET_TMA = 130
MSG_RTN_GET_REALTIME = 131
MSG_RTN_SAVE_WAVE = 132
MSG_RTN_GET_TBA = 133
MSG_RTN_GET_TBA_TO_PC = 134
MSG_RTN_ILLEGAL_MSG = 255
class MTBUFOp(ReprEnum):
class MTBUFOp(Enum):
TBUFFER_LOAD_FORMAT_X = 0
TBUFFER_LOAD_FORMAT_XY = 1
TBUFFER_LOAD_FORMAT_XYZ = 2
@@ -397,7 +362,7 @@ class MTBUFOp(ReprEnum):
TBUFFER_STORE_D16_FORMAT_XYZ = 14
TBUFFER_STORE_D16_FORMAT_XYZW = 15
class MUBUFOp(ReprEnum):
class MUBUFOp(Enum):
BUFFER_LOAD_FORMAT_X = 0
BUFFER_LOAD_FORMAT_XY = 1
BUFFER_LOAD_FORMAT_XYZ = 2
@@ -478,7 +443,7 @@ class MUBUFOp(ReprEnum):
BUFFER_ATOMIC_MAX_F32 = 82
BUFFER_ATOMIC_ADD_F32 = 86
class SCRATCHOp(ReprEnum):
class SCRATCHOp(Enum):
SCRATCH_LOAD_U8 = 16
SCRATCH_LOAD_I8 = 17
SCRATCH_LOAD_U16 = 18
@@ -507,7 +472,7 @@ class SCRATCHOp(ReprEnum):
SCRATCH_LOAD_LDS_I16 = 48
SCRATCH_LOAD_LDS_B32 = 49
class SMEMOp(ReprEnum):
class SMEMOp(Enum):
S_LOAD_B32 = 0
S_LOAD_B64 = 1
S_LOAD_B128 = 2
@@ -523,7 +488,7 @@ class SMEMOp(ReprEnum):
S_ATC_PROBE = 34
S_ATC_PROBE_BUFFER = 35
class SOP1Op(ReprEnum):
class SOP1Op(Enum):
S_MOV_B32 = 0
S_MOV_B64 = 1
S_CMOV_B32 = 2
@@ -605,7 +570,7 @@ class SOP1Op(ReprEnum):
S_TRUNC_F16 = 109
S_RNDNE_F16 = 110
class SOP2Op(ReprEnum):
class SOP2Op(Enum):
S_ADD_U32 = 0
S_SUB_U32 = 1
S_ADD_I32 = 2
@@ -674,7 +639,7 @@ class SOP2Op(ReprEnum):
S_MUL_F16 = 77
S_FMAC_F16 = 78
class SOPCOp(ReprEnum):
class SOPCOp(Enum):
S_CMP_EQ_I32 = 0
S_CMP_LG_I32 = 1
S_CMP_GT_I32 = 2
@@ -722,7 +687,7 @@ class SOPCOp(ReprEnum):
S_CMP_NEQ_F16 = 93
S_CMP_NLT_F16 = 94
class SOPKOp(ReprEnum):
class SOPKOp(Enum):
S_MOVK_I32 = 0
S_VERSION = 1
S_CMOVK_I32 = 2
@@ -751,7 +716,7 @@ class SOPKOp(ReprEnum):
S_WAITCNT_EXPCNT = 26
S_WAITCNT_LGKMCNT = 27
class SOPPOp(ReprEnum):
class SOPPOp(Enum):
S_NOP = 0
S_SETKILL = 1
S_SETHALT = 2
@@ -792,7 +757,7 @@ class SOPPOp(ReprEnum):
S_ICACHE_INV = 60
S_BARRIER = 61
class VINTERPOp(ReprEnum):
class VINTERPOp(Enum):
V_INTERP_P10_F32 = 0
V_INTERP_P2_F32 = 1
V_INTERP_P10_F16_F32 = 2
@@ -800,7 +765,7 @@ class VINTERPOp(ReprEnum):
V_INTERP_P10_RTZ_F16_F32 = 4
V_INTERP_P2_RTZ_F16_F32 = 5
class VOP1Op(ReprEnum):
class VOP1Op(Enum):
V_NOP_E32 = 0
V_MOV_B32_E32 = 1
V_READFIRSTLANE_B32_E32 = 2
@@ -974,7 +939,7 @@ class VOP1Op(ReprEnum):
V_CVT_I32_I16 = V_CVT_I32_I16_E32
V_CVT_U32_U16 = V_CVT_U32_U16_E32
class VOP2Op(ReprEnum):
class VOP2Op(Enum):
V_CNDMASK_B32_E32 = 1
V_DOT2ACC_F32_F16_E32 = 2
V_ADD_F32_E32 = 3
@@ -1068,7 +1033,7 @@ class VOP2Op(ReprEnum):
V_LDEXP_F16 = V_LDEXP_F16_E32
V_PK_FMAC_F16 = V_PK_FMAC_F16_E32
class VOP3Op(ReprEnum):
class VOP3Op(Enum):
V_CMP_F_F16_E64 = 0
V_CMP_LT_F16_E64 = 1
V_CMP_EQ_F16_E64 = 2
@@ -1808,7 +1773,7 @@ class VOP3Op(ReprEnum):
V_CVT_I32_I16 = V_CVT_I32_I16_E64
V_CVT_U32_U16 = V_CVT_U32_U16_E64
class VOP3POp(ReprEnum):
class VOP3POp(Enum):
V_PK_MAD_I16 = 0
V_PK_MUL_LO_U16 = 1
V_PK_ADD_I16 = 2
@@ -1844,7 +1809,7 @@ class VOP3POp(ReprEnum):
V_WMMA_I32_16X16X16_IU8 = 68
V_WMMA_I32_16X16X16_IU4 = 69
class VOP3SDOp(ReprEnum):
class VOP3SDOp(Enum):
V_ADD_CO_CI_U32 = 288
V_SUB_CO_CI_U32 = 289
V_SUBREV_CO_CI_U32 = 290
@@ -1856,7 +1821,7 @@ class VOP3SDOp(ReprEnum):
V_SUB_CO_U32 = 769
V_SUBREV_CO_U32 = 770
class VOPCOp(ReprEnum):
class VOPCOp(Enum):
V_CMP_F_F16_E32 = 0
V_CMP_LT_F16_E32 = 1
V_CMP_EQ_F16_E32 = 2
@@ -2238,7 +2203,7 @@ class VOPCOp(ReprEnum):
V_CMPX_CLASS_F32 = V_CMPX_CLASS_F32_E32
V_CMPX_CLASS_F64 = V_CMPX_CLASS_F64_E32
class VOPDOp(ReprEnum):
class VOPDOp(Enum):
V_DUAL_FMAC_F32 = 0
V_DUAL_FMAAK_F32 = 1
V_DUAL_FMAMK_F32 = 2
File diff suppressed because one or more lines are too long
@@ -1,6 +1,6 @@
# autogenerated from AMD ISA XML - do not edit
from tinygrad.runtime.autogen.amd.common import Fmt, OpType
from tinygrad.runtime.autogen.amd.rdna3.enum import DSOp, EXPOp, FLATOp, GLOBALOp, LDSDIROp, MIMGOp, MTBUFOp, MUBUFOp, SCRATCHOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp, VOPDOp
from extra.assembly.amd.autogen.common import Fmt, OpType
from extra.assembly.amd.autogen.rdna3.enum import *
# instruction operand info: {Op: {field: (Fmt, size_bits, OpType)}}
OPERANDS = {
@@ -1,6 +1,6 @@
# autogenerated from AMD ISA PDF - do not edit
# ruff: noqa: E501
from tinygrad.runtime.autogen.amd.rdna3.enum import DSOp, FLATOp, GLOBALOp, LDSDIROp, MIMGOp, MTBUFOp, MUBUFOp, SCRATCHOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp
from extra.assembly.amd.autogen.rdna3.enum import DSOp, FLATOp, GLOBALOp, LDSDIROp, MIMGOp, MTBUFOp, MUBUFOp, SCRATCHOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp
PCODE = {
DSOp.DS_ADD_U32: 'tmp = MEM[ADDR].u32;\nMEM[ADDR].u32 += DATA.u32;\nRETURN_DATA.u32 = tmp',
@@ -1,7 +1,8 @@
# autogenerated from AMD ISA XML - do not edit
from tinygrad.runtime.autogen.amd.common import ReprEnum, Fmt, FMT_BITS, OpType # noqa: F401
from enum import Enum
from extra.assembly.amd.autogen.common import Fmt, FMT_BITS, OpType # noqa: F401
class DSOp(ReprEnum):
class DSOp(Enum):
DS_ADD_U32 = 0
DS_SUB_U32 = 1
DS_RSUB_U32 = 2
@@ -126,39 +127,7 @@ class DSOp(ReprEnum):
DS_LOAD_B96 = 254
DS_LOAD_B128 = 255
class HWREG(ReprEnum):
HW_REG_WAVE_MODE = 1
HW_REG_WAVE_STATUS = 2
HW_REG_WAVE_STATE_PRIV = 4
HW_REG_WAVE_GPR_ALLOC = 5
HW_REG_WAVE_LDS_ALLOC = 6
HW_REG_PERF_SNAPSHOT_DATA = 10
HW_REG_PERF_SNAPSHOT_PC_LO = 11
HW_REG_PERF_SNAPSHOT_PC_HI = 12
HW_REG_PERF_SNAPSHOT_DATA1 = 15
HW_REG_PERF_SNAPSHOT_DATA2 = 16
HW_REG_WAVE_EXCP_FLAG_PRIV = 17
HW_REG_WAVE_EXCP_FLAG_USER = 18
HW_REG_WAVE_TRAP_CTRL = 19
HW_REG_WAVE_SCRATCH_BASE_LO = 20
HW_REG_WAVE_SCRATCH_BASE_HI = 21
HW_REG_WAVE_HW_ID1 = 23
HW_REG_WAVE_HW_ID2 = 24
HW_REG_SHADER_CYCLES_LO = 29
HW_REG_SHADER_CYCLES_HI = 30
class MSG(ReprEnum):
MSG_RTN_GET_DOORBELL = 128
MSG_RTN_GET_DDID = 129
MSG_RTN_GET_TMA = 130
MSG_RTN_GET_REALTIME = 131
MSG_RTN_SAVE_WAVE = 132
MSG_RTN_GET_TBA = 133
MSG_RTN_GET_TBA_TO_PC = 134
MSG_RTN_GET_SE_HW_ID = 135
MSG_RTN_ILLEGAL_MSG = 255
class SMEMOp(ReprEnum):
class SMEMOp(Enum):
S_LOAD_B32 = 0
S_LOAD_B64 = 1
S_LOAD_B128 = 2
@@ -188,7 +157,7 @@ class SMEMOp(ReprEnum):
S_BUFFER_PREFETCH_DATA = 39
S_PREFETCH_DATA_PC_REL = 40
class SOP1Op(ReprEnum):
class SOP1Op(Enum):
S_MOV_B32 = 0
S_MOV_B64 = 1
S_CMOV_B32 = 2
@@ -277,7 +246,7 @@ class SOP1Op(ReprEnum):
S_TRUNC_F16 = 109
S_RNDNE_F16 = 110
class SOP2Op(ReprEnum):
class SOP2Op(Enum):
S_ADD_CO_U32 = 0
S_SUB_CO_U32 = 1
S_ADD_CO_I32 = 2
@@ -353,7 +322,7 @@ class SOP2Op(ReprEnum):
S_SUB_NC_U64 = 84
S_MUL_U64 = 85
class SOPCOp(ReprEnum):
class SOPCOp(Enum):
S_CMP_EQ_I32 = 0
S_CMP_LG_I32 = 1
S_CMP_GT_I32 = 2
@@ -401,7 +370,7 @@ class SOPCOp(ReprEnum):
S_CMP_NEQ_F16 = 93
S_CMP_NLT_F16 = 94
class SOPKOp(ReprEnum):
class SOPKOp(Enum):
S_MOVK_I32 = 0
S_VERSION = 1
S_CMOVK_I32 = 2
@@ -412,7 +381,7 @@ class SOPKOp(ReprEnum):
S_SETREG_IMM32_B32 = 19
S_CALL_B64 = 20
class SOPPOp(ReprEnum):
class SOPPOp(Enum):
S_NOP = 0
S_SETKILL = 1
S_SETHALT = 2
@@ -457,7 +426,7 @@ class SOPPOp(ReprEnum):
S_WAIT_LOADCNT_DSCNT = 72
S_WAIT_STORECNT_DSCNT = 73
class VBUFFEROp(ReprEnum):
class VBUFFEROp(Enum):
BUFFER_LOAD_FORMAT_X = 0
BUFFER_LOAD_FORMAT_XY = 1
BUFFER_LOAD_FORMAT_XYZ = 2
@@ -548,14 +517,14 @@ class VBUFFEROp(ReprEnum):
TBUFFER_STORE_D16_FORMAT_XYZ = 142
TBUFFER_STORE_D16_FORMAT_XYZW = 143
class VDSDIROp(ReprEnum):
class VDSDIROp(Enum):
DS_PARAM_LOAD = 0
DS_DIRECT_LOAD = 1
class VEXPORTOp(ReprEnum):
class VEXPORTOp(Enum):
EXPORT = 0
class VFLATOp(ReprEnum):
class VFLATOp(Enum):
FLAT_LOAD_U8 = 16
FLAT_LOAD_I8 = 17
FLAT_LOAD_U16 = 18
@@ -614,7 +583,7 @@ class VFLATOp(ReprEnum):
FLAT_ATOMIC_PK_ADD_F16 = 89
FLAT_ATOMIC_PK_ADD_BF16 = 90
class VGLOBALOp(ReprEnum):
class VGLOBALOp(Enum):
GLOBAL_LOAD_U8 = 16
GLOBAL_LOAD_I8 = 17
GLOBAL_LOAD_U16 = 18
@@ -681,7 +650,7 @@ class VGLOBALOp(ReprEnum):
GLOBAL_ATOMIC_PK_ADD_BF16 = 90
GLOBAL_ATOMIC_ORDERED_ADD_B64 = 115
class VIMAGEOp(ReprEnum):
class VIMAGEOp(Enum):
IMAGE_LOAD = 0
IMAGE_LOAD_MIP = 1
IMAGE_LOAD_PCK = 2
@@ -716,7 +685,7 @@ class VIMAGEOp(ReprEnum):
IMAGE_ATOMIC_PK_ADD_F16 = 134
IMAGE_ATOMIC_PK_ADD_BF16 = 135
class VINTERPOp(ReprEnum):
class VINTERPOp(Enum):
V_INTERP_P10_F32 = 0
V_INTERP_P2_F32 = 1
V_INTERP_P10_F16_F32 = 2
@@ -724,7 +693,7 @@ class VINTERPOp(ReprEnum):
V_INTERP_P10_RTZ_F16_F32 = 4
V_INTERP_P2_RTZ_F16_F32 = 5
class VOP1Op(ReprEnum):
class VOP1Op(Enum):
V_NOP_E32 = 0
V_MOV_B32_E32 = 1
V_READFIRSTLANE_B32_E32 = 2
@@ -906,7 +875,7 @@ class VOP1Op(ReprEnum):
V_CVT_PK_F32_FP8 = V_CVT_PK_F32_FP8_E32
V_CVT_PK_F32_BF8 = V_CVT_PK_F32_BF8_E32
class VOP2Op(ReprEnum):
class VOP2Op(Enum):
V_CNDMASK_B32_E32 = 1
V_ADD_F64_E32 = 2
V_ADD_F32_E32 = 3
@@ -1006,7 +975,7 @@ class VOP2Op(ReprEnum):
V_LDEXP_F16 = V_LDEXP_F16_E32
V_PK_FMAC_F16 = V_PK_FMAC_F16_E32
class VOP3Op(ReprEnum):
class VOP3Op(Enum):
V_CMP_LT_F16_E64 = 1
V_CMP_EQ_F16_E64 = 2
V_CMP_LE_F16_E64 = 3
@@ -1731,7 +1700,7 @@ class VOP3Op(ReprEnum):
V_CVT_PK_F32_FP8 = V_CVT_PK_F32_FP8_E64
V_CVT_PK_F32_BF8 = V_CVT_PK_F32_BF8_E64
class VOP3POp(ReprEnum):
class VOP3POp(Enum):
V_PK_MAD_I16 = 0
V_PK_MUL_LO_U16 = 1
V_PK_ADD_I16 = 2
@@ -1789,7 +1758,7 @@ class VOP3POp(ReprEnum):
V_SWMMAC_F32_16X16X32_BF8_FP8 = 89
V_SWMMAC_F32_16X16X32_BF8_BF8 = 90
class VOP3SDOp(ReprEnum):
class VOP3SDOp(Enum):
V_ADD_CO_CI_U32 = 288
V_SUB_CO_CI_U32 = 289
V_SUBREV_CO_CI_U32 = 290
@@ -1801,7 +1770,7 @@ class VOP3SDOp(ReprEnum):
V_SUB_CO_U32 = 769
V_SUBREV_CO_U32 = 770
class VOPCOp(ReprEnum):
class VOPCOp(Enum):
V_CMP_LT_F16_E32 = 1
V_CMP_EQ_F16_E32 = 2
V_CMP_LE_F16_E32 = 3
@@ -2127,7 +2096,7 @@ class VOPCOp(ReprEnum):
V_CMPX_CLASS_F32 = V_CMPX_CLASS_F32_E32
V_CMPX_CLASS_F64 = V_CMPX_CLASS_F64_E32
class VOPDOp(ReprEnum):
class VOPDOp(Enum):
V_DUAL_FMAC_F32 = 0
V_DUAL_FMAAK_F32 = 1
V_DUAL_FMAMK_F32 = 2
@@ -2146,7 +2115,7 @@ class VOPDOp(ReprEnum):
V_DUAL_LSHLREV_B32 = 17
V_DUAL_AND_B32 = 18
class VSAMPLEOp(ReprEnum):
class VSAMPLEOp(Enum):
IMAGE_MSAA_LOAD = 24
IMAGE_SAMPLE = 27
IMAGE_SAMPLE_D = 28
@@ -2206,7 +2175,7 @@ class VSAMPLEOp(ReprEnum):
IMAGE_GATHER4_C_B_CL = 101
IMAGE_GATHER4H = 144
class VSCRATCHOp(ReprEnum):
class VSCRATCHOp(Enum):
SCRATCH_LOAD_U8 = 16
SCRATCH_LOAD_I8 = 17
SCRATCH_LOAD_U16 = 18
File diff suppressed because one or more lines are too long
@@ -1,6 +1,6 @@
# autogenerated from AMD ISA XML - do not edit
from tinygrad.runtime.autogen.amd.common import Fmt, OpType
from tinygrad.runtime.autogen.amd.rdna4.enum import DSOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VBUFFEROp, VDSDIROp, VEXPORTOp, VFLATOp, VGLOBALOp, VIMAGEOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp, VOPDOp, VSAMPLEOp, VSCRATCHOp
from extra.assembly.amd.autogen.common import Fmt, OpType
from extra.assembly.amd.autogen.rdna4.enum import *
# instruction operand info: {Op: {field: (Fmt, size_bits, OpType)}}
OPERANDS = {
@@ -1,6 +1,6 @@
# autogenerated from AMD ISA PDF - do not edit
# ruff: noqa: E501
from tinygrad.runtime.autogen.amd.rdna4.enum import DSOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VBUFFEROp, VFLATOp, VGLOBALOp, VIMAGEOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp, VOPDOp, VSAMPLEOp, VSCRATCHOp
from extra.assembly.amd.autogen.rdna4.enum import DSOp, SMEMOp, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, VBUFFEROp, VFLATOp, VGLOBALOp, VIMAGEOp, VINTERPOp, VOP1Op, VOP2Op, VOP3Op, VOP3POp, VOP3SDOp, VOPCOp, VOPDOp, VSAMPLEOp, VSCRATCHOp
PCODE = {
DSOp.DS_ADD_U32: 'addr = CalcDsAddr(vgpr_a.b32, offset.b32);\ntmp = MEM[addr].u32;\nMEM[addr].u32 += DATA.u32;\nRETURN_DATA.u32 = tmp',
+83
View File
@@ -0,0 +1,83 @@
# Instruction format detection and decoding
from __future__ import annotations
from extra.assembly.amd.dsl import Inst, FixedBitField
from extra.assembly.amd.autogen.rdna3.ins import (VOP1, VOP1_SDST, VOP2, VOP3, VOP3_SDST, VOP3SD, VOP3P, VOPC, VOPD, VINTERP,
SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, DS, FLAT)
from extra.assembly.amd.autogen.rdna4.ins import (VOP1 as R4_VOP1, VOP1_SDST as R4_VOP1_SDST, VOP2 as R4_VOP2,
VOP3 as R4_VOP3, VOP3_SDST as R4_VOP3_SDST, VOP3SD as R4_VOP3SD, VOP3P as R4_VOP3P,
VOPC as R4_VOPC, VOPD as R4_VOPD, VINTERP as R4_VINTERP, SOP1 as R4_SOP1, SOP2 as R4_SOP2, SOPC as R4_SOPC, SOPK as R4_SOPK, SOPP as R4_SOPP,
SMEM as R4_SMEM, DS as R4_DS)
from extra.assembly.amd.autogen.cdna.ins import (VOP1 as C_VOP1, VOP2 as C_VOP2, VOPC as C_VOPC, VOP3A, VOP3B, VOP3P as C_VOP3P,
SOP1 as C_SOP1, SOP2 as C_SOP2, SOPC as C_SOPC, SOPK as C_SOPK, SOPP as C_SOPP, SMEM as C_SMEM, DS as C_DS, FLAT as C_FLAT)
def _matches_encoding(word: int, cls: type[Inst]) -> bool:
"""Check if word matches the encoding pattern of an instruction class."""
enc = next(((n, f) for n, f in cls._fields if isinstance(f, FixedBitField) and n == 'encoding'), None)
if enc is None: return False
bf = enc[1]
return ((word >> bf.lo) & bf.mask) == bf.default
# Order matters: more specific encodings first, VOP2 last (it's a catch-all for bit31=0)
_RDNA_FORMATS_64 = [VOPD, VOP3P, VINTERP, VOP3, DS, FLAT, SMEM]
_RDNA_FORMATS_32 = [SOP1, SOPC, SOPP, SOPK, VOPC, VOP1, SOP2, VOP2] # SOP2/VOP2 are catch-alls
_CDNA_FORMATS_64 = [C_VOP3P, VOP3A, C_DS, C_FLAT, C_SMEM]
_CDNA_FORMATS_32 = [C_SOP1, C_SOPC, C_SOPP, C_SOPK, C_VOPC, C_VOP1, C_SOP2, C_VOP2]
_CDNA_VOP3B_OPS = {281, 282, 283, 284, 285, 286, 480, 481, 488, 489} # VOP3B opcodes
_RDNA4_FORMATS_64 = [R4_VOPD, R4_VOP3P, R4_VINTERP, R4_VOP3, R4_DS, R4_SMEM]
_RDNA4_FORMATS_32 = [R4_SOP1, R4_SOPC, R4_SOPP, R4_SOPK, R4_VOPC, R4_VOP1, R4_SOP2, R4_VOP2]
_RDNA4_VOP3SD_OPS = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
_RDNA3_VOP3SD_OPS = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
# Instructions with SGPR destination (READLANE, READFIRSTLANE, and VOP3-encoded VOPC)
_VOP1_SDST_OPS = {2} # V_READFIRSTLANE_B32_E32
_VOP3_SDST_OPS = {386, 864} # V_READFIRSTLANE_B32_E64, V_READLANE_B32 (V_WRITELANE_B32=865 writes to VGPR)
# VOP3-encoded VOPC instructions (opcodes < 256) also have SGPR destination
def detect_format(data: bytes, arch: str = "rdna3") -> type[Inst]:
"""Detect instruction format from machine code bytes."""
assert len(data) >= 4, f"need at least 4 bytes, got {len(data)}"
word = int.from_bytes(data[:4], 'little')
if arch == "cdna":
# SDWA (0xf9) and DPP (0xfa) use special src0 encodings - not supported
if (word & 0x1ff) in (0xf9, 0xfa): raise ValueError(f"CDNA SDWA/DPP not supported word={word:#010x}")
if (word >> 30) == 0b11:
for cls in _CDNA_FORMATS_64:
if _matches_encoding(word, cls):
return VOP3B if cls is VOP3A and ((word >> 16) & 0x3ff) in _CDNA_VOP3B_OPS else cls
raise ValueError(f"unknown CDNA 64-bit format word={word:#010x}")
for cls in _CDNA_FORMATS_32:
if _matches_encoding(word, cls): return cls
raise ValueError(f"unknown CDNA 32-bit format word={word:#010x}")
if arch == "rdna4":
if (word >> 30) == 0b11:
for cls in _RDNA4_FORMATS_64:
if _matches_encoding(word, cls):
if cls is R4_VOP3:
opcode = (word >> 16) & 0x3ff
if opcode in _RDNA4_VOP3SD_OPS: return R4_VOP3SD
if opcode in _VOP3_SDST_OPS or opcode < 256: return R4_VOP3_SDST # VOP3-encoded VOPC (op < 256) writes to SGPR
return cls
raise ValueError(f"unknown RDNA4 64-bit format word={word:#010x}")
for cls in _RDNA4_FORMATS_32:
if _matches_encoding(word, cls):
if cls is R4_VOP1 and ((word >> 9) & 0xff) in _VOP1_SDST_OPS: return R4_VOP1_SDST
return cls
raise ValueError(f"unknown RDNA4 32-bit format word={word:#010x}")
# RDNA3 (default)
if (word >> 30) == 0b11:
for cls in _RDNA_FORMATS_64:
if _matches_encoding(word, cls):
if cls is VOP3:
opcode = (word >> 16) & 0x3ff
if opcode in _RDNA3_VOP3SD_OPS: return VOP3SD
if opcode in _VOP3_SDST_OPS or opcode < 256: return VOP3_SDST # VOP3-encoded VOPC (op < 256) writes to SGPR
return cls
raise ValueError(f"unknown 64-bit format word={word:#010x}")
for cls in _RDNA_FORMATS_32:
if _matches_encoding(word, cls):
if cls is VOP1 and ((word >> 9) & 0xff) in _VOP1_SDST_OPS: return VOP1_SDST
return cls
raise ValueError(f"unknown 32-bit format word={word:#010x}")
def decode_inst(data: bytes, arch: str = "rdna3") -> Inst:
"""Decode machine code bytes into an instruction."""
return detect_format(data, arch).from_bytes(data)
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# RDNA3/RDNA4/CDNA disassembler
from __future__ import annotations
import re, struct
from extra.assembly.amd.dsl import Inst, Reg
# Special register mappings for disassembly
SPECIAL_GPRS = {106: 'vcc_lo', 107: 'vcc_hi', 124: 'null', 125: 'm0', 126: 'exec_lo', 127: 'exec_hi',
128: '0', 240: '0.5', 241: '-0.5', 242: '1.0', 243: '-1.0', 244: '2.0', 245: '-2.0', 246: '4.0', 247: '-4.0', 248: '0x3e22f983', 253: 'scc'}
SPECIAL_GPRS_CDNA = {106: 'vcc_lo', 107: 'vcc_hi', 124: 'null', 125: 'm0', 126: 'exec_lo', 127: 'exec_hi',
128: '0', 240: '0.5', 241: '-0.5', 242: '1.0', 243: '-1.0', 244: '2.0', 245: '-2.0', 246: '4.0', 247: '-4.0', 248: '0x3e22f983', 253: 'scc',
102: 'flat_scratch_lo', 103: 'flat_scratch_hi', 104: 'xnack_mask_lo', 105: 'xnack_mask_hi'}
SPECIAL_PAIRS = {106: 'vcc', 126: 'exec'}
SPECIAL_PAIRS_CDNA = {106: 'vcc', 126: 'exec', 102: 'flat_scratch', 104: 'xnack_mask'}
def decode_src(v, cdna: bool = False) -> str:
"""Decode a source operand encoding to its string representation."""
v = _unwrap(v)
gprs = SPECIAL_GPRS_CDNA if cdna else SPECIAL_GPRS
if v in gprs: return gprs[v]
if v < 106: return f's{v}'
if 108 <= v < 124: return f'ttmp{v - 108}'
if 129 <= v <= 192: return str(v - 128) # positive integers 1-64
if 193 <= v <= 208: return str(-(v - 192)) # negative integers -1 to -16
if v >= 256: return f'v{v - 256}'
return f's{v}'
def _unwrap(v) -> int:
"""Unwrap Reg to int offset, or return int as-is."""
return v.offset if isinstance(v, Reg) else v
def _vi(v) -> int:
"""Get VGPR index from Reg or int (for v[N] fields that encode as 256+N)."""
off = _unwrap(v)
return off - 256 if off >= 256 else off
# ═══════════════════════════════════════════════════════════════════════════════
# LITERAL FORMATTING
# ═══════════════════════════════════════════════════════════════════════════════
_FLOAT_DEC = {240: 0.5, 241: -0.5, 242: 1.0, 243: -1.0, 244: 2.0, 245: -2.0, 246: 4.0, 247: -4.0}
def _lit(inst, v, neg=0) -> str:
"""Format literal/inline constant value."""
v = _unwrap(v)
if v == 255:
lit = inst._literal
if lit is None: return "0"
s = f"0x{lit:x}"
elif v in _FLOAT_DEC: s = str(_FLOAT_DEC[v])
elif 128 <= v <= 192: s = str(v - 128)
elif 193 <= v <= 208: s = str(-(v - 192))
elif v < 128: s = decode_src(v)
elif v >= 256: s = f"v{v - 256}"
else: s = decode_src(v)
return f"-{s}" if neg else s
# ═══════════════════════════════════════════════════════════════════════════════
# INSTRUCTION METADATA - fallback functions when inst.num_srcs()/inst.operands unavailable
# ═══════════════════════════════════════════════════════════════════════════════
def _num_srcs(inst) -> int:
"""Fallback: get number of source operands from instruction name."""
name = getattr(inst, 'op_name', '') or ''
n = name.upper()
# FMAC/MAC ops are 2-source (dst is implicit accumulator), but FMA/MAD ops are 3-source
if 'FMAC' in n or 'V_MAC_' in n: return 2
if any(x in n for x in ('FMA', 'MAD', 'CNDMASK', 'BFE', 'BFI', 'LERP', 'MED3', 'SAD', 'DIV_FMAS', 'DIV_FIXUP', 'DIV_SCALE', 'CUBE')): return 3
# PERMLANE_VAR ops are 2-source, but PERMLANE (non-VAR) are 3-source
if 'PERMLANE' in n and '_VAR' not in n: return 3
if any(x in n for x in ('_ADD3', '_LSHL_ADD', '_ADD_LSHL', '_LSHL_OR', '_AND_OR', 'OR3_B32', 'AND_OR_B32', 'ALIGNBIT', 'ALIGNBYTE', 'V_PERM_', 'XOR3', 'XAD', 'MULLIT', 'MINMAX', 'MAXMIN', 'MINIMUMMAXIMUM', 'MAXIMUMMINIMUM', 'MINIMUM3', 'MAXIMUM3', 'MIN3', 'MAX3', 'DOT2', 'CVT_PK_U8_F32', 'DOT4', 'DOT8', 'WMMA', 'SWMMAC')): return 3
return 2
# SWMMAC register counts: (dst, src0, src1, src2)
def _swmmac_regs(name: str) -> tuple[int, int, int, int]:
"""Return (dst, src0, src1, src2) register counts for SWMMAC instructions."""
if 'f16_16x16x32' in name or 'bf16_16x16x32' in name: return (4, 4, 8, 1)
if 'f32_16x16x32_f16' in name or 'f32_16x16x32_bf16' in name: return (8, 4, 8, 1)
if 'i32_16x16x32_iu4' in name: return (8, 1, 2, 1)
if 'i32_16x16x64_iu4' in name: return (8, 2, 4, 1)
if 'i32_16x16x32_iu8' in name or 'f32_16x16x32_fp8' in name or 'f32_16x16x32_bf8' in name: return (8, 2, 4, 1)
return (8, 8, 8, 8)
# ═══════════════════════════════════════════════════════════════════════════════
# IMPORTS
# ═══════════════════════════════════════════════════════════════════════════════
from extra.assembly.amd.autogen.rdna3.ins import (VOP1, VOP1_SDST, VOP2, VOP3, VOP3_SDST, VOP3SD, VOP3P, VOPC, VOPD, VINTERP, SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, DS, FLAT, GLOBAL, SCRATCH,
VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOPDOp, SOP1Op, SOPKOp, SOPPOp, SMEMOp, DSOp)
from extra.assembly.amd.autogen.rdna4.ins import (VOP1 as R4_VOP1, VOP1_SDST as R4_VOP1_SDST, VOP2 as R4_VOP2, VOP3 as R4_VOP3, VOP3_SDST as R4_VOP3_SDST, VOP3SD as R4_VOP3SD, VOP3P as R4_VOP3P,
VOPC as R4_VOPC, VOPD as R4_VOPD, VINTERP as R4_VINTERP, SOP1 as R4_SOP1, SOP2 as R4_SOP2, SOPC as R4_SOPC, SOPK as R4_SOPK, SOPP as R4_SOPP,
SMEM as R4_SMEM, DS as R4_DS, VOPDOp as R4_VOPDOp)
from extra.assembly.amd.autogen.cdna.ins import FLAT as C_FLAT
def _is_cdna(inst: Inst) -> bool: return 'cdna' in inst.__class__.__module__
# ═══════════════════════════════════════════════════════════════════════════════
# CONSTANTS
# ═══════════════════════════════════════════════════════════════════════════════
HWREG = {1: 'HW_REG_MODE', 2: 'HW_REG_STATUS', 3: 'HW_REG_TRAPSTS', 4: 'HW_REG_HW_ID', 5: 'HW_REG_GPR_ALLOC',
6: 'HW_REG_LDS_ALLOC', 7: 'HW_REG_IB_STS', 15: 'HW_REG_SH_MEM_BASES', 18: 'HW_REG_PERF_SNAPSHOT_PC_LO',
19: 'HW_REG_PERF_SNAPSHOT_PC_HI', 20: 'HW_REG_FLAT_SCR_LO', 21: 'HW_REG_FLAT_SCR_HI', 22: 'HW_REG_XNACK_MASK',
23: 'HW_REG_HW_ID1', 24: 'HW_REG_HW_ID2', 25: 'HW_REG_POPS_PACKER', 28: 'HW_REG_IB_STS2'}
HWREG_RDNA4 = {1: 'HW_REG_MODE', 2: 'HW_REG_STATUS', 4: 'HW_REG_STATE_PRIV', 5: 'HW_REG_GPR_ALLOC',
6: 'HW_REG_LDS_ALLOC', 7: 'HW_REG_IB_STS', 10: 'HW_REG_PERF_SNAPSHOT_DATA', 11: 'HW_REG_PERF_SNAPSHOT_PC_LO',
12: 'HW_REG_PERF_SNAPSHOT_PC_HI', 15: 'HW_REG_PERF_SNAPSHOT_DATA1', 16: 'HW_REG_PERF_SNAPSHOT_DATA2',
17: 'HW_REG_EXCP_FLAG_PRIV', 18: 'HW_REG_EXCP_FLAG_USER', 19: 'HW_REG_TRAP_CTRL',
20: 'HW_REG_SCRATCH_BASE_LO', 21: 'HW_REG_SCRATCH_BASE_HI', 23: 'HW_REG_HW_ID1',
24: 'HW_REG_HW_ID2', 26: 'HW_REG_SCHED_MODE', 29: 'HW_REG_SHADER_CYCLES_LO',
30: 'HW_REG_SHADER_CYCLES_HI', 31: 'HW_REG_DVGPR_ALLOC_LO', 32: 'HW_REG_DVGPR_ALLOC_HI'}
MSG = {128: 'MSG_RTN_GET_DOORBELL', 129: 'MSG_RTN_GET_DDID', 130: 'MSG_RTN_GET_TMA',
131: 'MSG_RTN_GET_REALTIME', 132: 'MSG_RTN_SAVE_WAVE', 133: 'MSG_RTN_GET_TBA',
134: 'MSG_RTN_GET_TBA_TO_PC', 135: 'MSG_RTN_GET_SE_AID_ID'}
# CDNA opcode name aliases for disasm (new name -> old name expected by tests)
_CDNA_DISASM_ALIASES = {'v_fmac_f64': 'v_mul_legacy_f32', 'v_dot2c_f32_bf16': 'v_mac_f32', 'v_fmamk_f32': 'v_madmk_f32', 'v_fmaak_f32': 'v_madak_f32'}
# ═══════════════════════════════════════════════════════════════════════════════
# HELPERS
# ═══════════════════════════════════════════════════════════════════════════════
def _reg(p: str, b: int, n: int = 1) -> str: return f"{p}{_unwrap(b)}" if n == 1 else f"{p}[{_unwrap(b)}:{_unwrap(b)+n-1}]"
def _sreg(b: int, n: int = 1) -> str: return _reg("s", _unwrap(b), n)
def _vreg(b: int, n: int = 1) -> str: b = _unwrap(b); return _reg("v", b - 256 if b >= 256 else b, n)
def _areg(b: int, n: int = 1) -> str: b = _unwrap(b); return _reg("a", b - 256 if b >= 256 else b, n) # accumulator registers for GFX90a
def _ttmp(b, n: int = 1) -> str: b = _unwrap(b); return _reg("ttmp", b - 108, n) if 108 <= b <= 123 else None
def _sreg_or_ttmp(b, n: int = 1) -> str: return _ttmp(b, n) or _sreg(b, n)
def _fmt_sdst(v, n: int = 1, cdna: bool = False) -> str:
v = _unwrap(v)
if t := _ttmp(v, n): return t
pairs = SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS
gprs = SPECIAL_GPRS_CDNA if cdna else SPECIAL_GPRS
if n > 1: return pairs.get(v) or gprs.get(v) or _sreg(v, n) # also check gprs for null/m0
return gprs.get(v, f"s{v}")
def _fmt_src(v, n: int = 1, cdna: bool = False) -> str:
v = _unwrap(v)
if v == 253: return "src_scc" # SCC as source operand
if n == 1: return decode_src(v, cdna)
if v >= 256: return _vreg(v, n)
if v <= 101: return _sreg(v, n) # s0-s101 can be pairs, but 102+ are special on CDNA
pairs = SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS
if n == 2 and v in pairs: return pairs[v]
if v <= 105: return _sreg(v, n) # s102-s105 regular pairs for RDNA
if t := _ttmp(v, n): return t
return decode_src(v, cdna)
def _fmt_v16(v, base: int = 256, hi_thresh: int = 384) -> str:
v = _unwrap(v)
return f"v{(v - base) & 0x7f}.{'h' if v >= hi_thresh else 'l'}"
def _has(op: str, *subs) -> bool: return any(s in op for s in subs)
def _omod(v: int) -> str: return {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(v, "")
def _src16(inst, v: int) -> str: v = _unwrap(v); return _fmt_v16(v) if v >= 256 else _lit(inst, v) # format 16-bit src: vgpr.h/l or literal
def _mods(*pairs) -> str: return " ".join(m for c, m in pairs if c)
def _fmt_bits(label: str, val: int, count: int) -> str: return f"{label}:[{','.join(str((val >> i) & 1) for i in range(count))}]"
def _vop3_src(inst, v: int, neg: int, abs_: int, hi: int, n: int, f16: bool) -> str:
"""Format VOP3 source operand with modifiers."""
v = _unwrap(v)
if v == 255: s = _lit(inst, v) # literal constant takes priority
elif n > 1: s = _fmt_src(v, n)
elif f16 and v >= 256: s = f"v{v - 256}.h" if hi else f"v{v - 256}.l"
elif v == 253: s = "src_scc" # VOP3 sources use src_scc not scc
else: s = _lit(inst, v)
if abs_: s = f"|{s}|"
return f"-{s}" if neg else s
def _opsel_str(opsel: int, n: int, need: bool, is16_d: bool) -> str:
"""Format op_sel modifier string."""
if not need: return ""
dst_hi = (opsel >> 3) & 1
if n == 1: return f" op_sel:[{opsel & 1},{dst_hi}]"
if n == 2: return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{dst_hi}]"
return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1},{dst_hi}]"
# ═══════════════════════════════════════════════════════════════════════════════
# DISASSEMBLER
# ═══════════════════════════════════════════════════════════════════════════════
def _disasm_vop1(inst: VOP1) -> str:
name, cdna = inst.op_name.lower() or f'vop1_op_{inst.op}', _is_cdna(inst)
name = name.replace('_e32', '') # Strip _e32 suffix
if any(x in name for x in ('v_nop', 'v_pipeflush', 'v_clrexcp')): return name # no operands
if 'readfirstlane' in name:
src = inst.src0.fmt() if inst.src0.offset >= 256 else decode_src(inst.src0.offset, cdna)
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
return f"{name} {_fmt_sdst(vdst_off, 1, cdna)}, {src}"
bits = inst.canonical_op_bits
is16_dst, is16_src = not cdna and bits['d'] == 16, not cdna and bits['s0'] == 16
# v_cvt_pk_f32_fp8/bf8: pcode has None dst type but outputs 2 VGPRs
if 'cvt_pk_f32_fp8' in name or 'cvt_pk_f32_bf8' in name: is16_src = True
# Format dst
if is16_dst: dst = _fmt_v16(inst.vdst)
else: dst = inst.vdst.fmt()
# Format src
if inst.src0.offset == 255: src = _lit(inst, inst.src0)
elif is16_src and inst.src0.offset >= 256: src = _fmt_v16(inst.src0)
elif inst.src0.sz > 1: src = _fmt_src(inst.src0, inst.src0.sz, cdna)
else: src = _lit(inst, inst.src0)
return f"{name} {dst}, {src}"
_VOP2_CARRY_OUT = {'v_add_co_u32', 'v_sub_co_u32', 'v_subrev_co_u32'} # carry out only
_VOP2_CARRY_INOUT = {'v_addc_co_u32', 'v_subb_co_u32', 'v_subbrev_co_u32'} # carry in and out (CDNA)
_VOP2_CARRY_INOUT_RDNA = {'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'} # carry in and out (RDNA)
def _disasm_vop2(inst: VOP2) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
if cdna: name = _CDNA_DISASM_ALIASES.get(name, name) # apply CDNA aliases
suf = "" if cdna or name.endswith('_e32') or (not cdna and inst.op == VOP2Op.V_DOT2ACC_F32_F16_E32) else "_e32"
lit = getattr(inst, '_literal', None)
is16 = not cdna and inst.canonical_op_bits['d'] == 16
# fmaak/madak: dst = src0 * vsrc1 + K, fmamk/madmk: dst = src0 * K + vsrc1
if 'fmaak' in name or 'madak' in name or (not cdna and inst.op in (VOP2Op.V_FMAAK_F32_E32, VOP2Op.V_FMAAK_F16_E32)):
if lit is None: return f"op_{inst.op.value if hasattr(inst.op, 'value') else inst.op}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, {_fmt_v16(inst.vsrc1)}, 0x{lit:x}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, 0x{lit:x}"
if 'fmamk' in name or 'madmk' in name or (not cdna and inst.op in (VOP2Op.V_FMAMK_F32_E32, VOP2Op.V_FMAMK_F16_E32)):
if lit is None: return f"op_{inst.op.value if hasattr(inst.op, 'value') else inst.op}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, 0x{lit:x}, {_fmt_v16(inst.vsrc1)}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, 0x{lit:x}, {inst.vsrc1.fmt()}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, {_fmt_v16(inst.vsrc1)}"
vcc = "vcc" if cdna else "vcc_lo"
if cdna and name in _VOP2_CARRY_OUT: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}"
if cdna and name in _VOP2_CARRY_INOUT: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, {vcc}"
if not cdna and name in _VOP2_CARRY_INOUT_RDNA: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, {vcc}"
sn0 = inst.canonical_op_regs.get('s0', 1)
if inst.vdst.sz > 1 or sn0 > 1 or inst.vsrc1.sz > 1:
src0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else _fmt_src(inst.src0, sn0, cdna)
return f"{name.replace('_e32', '')} {inst.vdst.fmt()}, {src0}, {inst.vsrc1.fmt()}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}" + (f", {vcc}" if name == 'v_cndmask_b32' else "")
def _disasm_vopc(inst: VOPC) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
bits = inst.canonical_op_bits
is16 = bits['s0'] == 16
if cdna:
s0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else _fmt_src(inst.src0, inst.src0.sz, cdna)
return f"{name} vcc, {s0}, {inst.vsrc1.fmt()}" # CDNA VOPC always outputs vcc
# RDNA: v_cmpx_* writes to exec (no vcc), v_cmp_* writes to vcc_lo
has_vcc = 'cmpx' not in name
s0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else inst.src0.fmt() if inst.src0.sz > 1 else _src16(inst, inst.src0.offset) if is16 else _lit(inst, inst.src0)
s1 = inst.vsrc1.fmt() if inst.vsrc1.sz > 1 else _fmt_v16(inst.vsrc1) if is16 else inst.vsrc1.fmt()
suf = "" if name.endswith('_e32') else "_e32"
return f"{name}{suf} vcc_lo, {s0}, {s1}" if has_vcc else f"{name}{suf} {s0}, {s1}"
NO_ARG_SOPP = {SOPPOp.S_BARRIER, SOPPOp.S_WAKEUP, SOPPOp.S_ICACHE_INV,
SOPPOp.S_WAIT_IDLE, SOPPOp.S_ENDPGM_SAVED, SOPPOp.S_CODE_END, SOPPOp.S_ENDPGM_ORDERED_PS_DONE, SOPPOp.S_TTRACEDATA}
_CDNA_NO_ARG_SOPP = {'s_endpgm', 's_barrier', 's_wakeup', 's_icache_inv', 's_ttracedata', 's_nop', 's_sethalt', 's_sleep',
's_setprio', 's_trap', 's_incperflevel', 's_decperflevel', 's_sendmsg', 's_sendmsghalt'}
def _disasm_sopp(inst: SOPP) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
is_rdna4 = 'rdna4' in inst.__class__.__module__
# Ops that have no argument when simm16 == 0
no_arg_zero = {'s_barrier', 's_wakeup', 's_icache_inv', 's_ttracedata', 's_wait_idle', 's_endpgm_saved',
's_endpgm_ordered_ps_done', 's_code_end'}
if name in no_arg_zero: return name if inst.simm16 == 0 else f"{name} {inst.simm16}"
if name == 's_endpgm': return name if inst.simm16 == 0 else f"{name} {inst.simm16}"
if cdna:
if name == 's_waitcnt':
vm, lgkm, exp = inst.simm16 & 0xf, (inst.simm16 >> 8) & 0x3f, (inst.simm16 >> 4) & 0x7
p = [f"vmcnt({vm})" if vm != 0xf else "", f"expcnt({exp})" if exp != 7 else "", f"lgkmcnt({lgkm})" if lgkm != 0x3f else ""]
return f"s_waitcnt {' '.join(x for x in p if x) or '0'}"
if name.startswith(('s_cbranch', 's_branch')): return f"{name} {inst.simm16}"
return f"{name} 0x{inst.simm16:x}" if inst.simm16 else name
# RDNA (use name-based checks instead of enum-based for cross-arch compatibility)
if name == 's_waitcnt':
if is_rdna4:
return f"{name} {inst.simm16}" if inst.simm16 else f"{name} 0"
vm, exp, lgkm = (inst.simm16 >> 10) & 0x3f, inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x3f
p = [f"vmcnt({vm})" if vm != 0x3f else "", f"expcnt({exp})" if exp != 7 else "", f"lgkmcnt({lgkm})" if lgkm != 0x3f else ""]
return f"s_waitcnt {' '.join(x for x in p if x) or '0'}"
if name == 's_delay_alu':
deps = ['VALU_DEP_1','VALU_DEP_2','VALU_DEP_3','VALU_DEP_4','TRANS32_DEP_1','TRANS32_DEP_2','TRANS32_DEP_3','FMA_ACCUM_CYCLE_1','SALU_CYCLE_1','SALU_CYCLE_2','SALU_CYCLE_3']
skips = ['SAME','NEXT','SKIP_1','SKIP_2','SKIP_3','SKIP_4']
id0, skip, id1 = inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x7, (inst.simm16 >> 7) & 0xf
dep = lambda v: deps[v-1] if 0 < v <= len(deps) else str(v)
p = [f"instid0({dep(id0)})" if id0 else "", f"instskip({skips[skip]})" if skip else "", f"instid1({dep(id1)})" if id1 else ""]
return f"s_delay_alu {' | '.join(x for x in p if x) or '0'}"
if name.startswith(('s_cbranch', 's_branch')): return f"{name} 0x{inst.simm16:x}"
return f"{name} 0x{inst.simm16:x}"
def _disasm_smem(inst: SMEM) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
if name in ('s_gl1_inv', 's_dcache_inv'): return name
soe, imm = getattr(inst, 'soe', 0), getattr(inst, 'imm', 1)
is_rdna4 = 'rdna4' in inst.__class__.__module__
offset = inst.ioffset if is_rdna4 else getattr(inst, 'offset', 0)
if cdna:
if soe and imm: off_s = f"{decode_src(inst.soffset, cdna)} offset:0x{offset:x}"
elif imm: off_s = f"0x{offset:x}"
elif offset < 256: off_s = decode_src(offset, cdna)
else: off_s = decode_src(inst.soffset, cdna)
elif offset and inst.soffset != 124: off_s = f"{decode_src(inst.soffset, cdna)} offset:0x{offset:x}"
elif offset: off_s = f"0x{offset:x}"
else: off_s = decode_src(inst.soffset, cdna)
is_buffer = 'buffer' in name or 's_atc_probe_buffer' == name
sbase_idx, sbase_count = _unwrap(inst.sbase), 4 if is_buffer else 2
sbase_str = _fmt_src(sbase_idx, sbase_count, cdna) if sbase_count == 2 else _sreg(sbase_idx, sbase_count) if sbase_idx <= 105 else _reg("ttmp", sbase_idx - 108, sbase_count)
if name in ('s_atc_probe', 's_atc_probe_buffer'): return f"{name} {_unwrap(inst.sdata)}, {sbase_str}, {off_s}"
if 'prefetch' in name:
off = getattr(inst, 'ioffset', getattr(inst, 'offset', 0))
if off >= 0x800000: off = off - 0x1000000
off_s = f"0x{off:x}" if off > 255 else str(off)
soff_s = decode_src(inst.soffset, cdna) if inst.soffset != 124 else "null"
if 'pc_rel' in name: return f"{name} {off_s}, {soff_s}, {_unwrap(inst.sdata)}"
return f"{name} {sbase_str}, {off_s}, {soff_s}, {_unwrap(inst.sdata)}"
# Use get_field_bits for register count
dst_n = inst.canonical_op_regs.get('d', 1)
th, scope = getattr(inst, 'th', 0), getattr(inst, 'scope', 0)
if is_rdna4: # RDNA4 uses th/scope instead of glc/dlc
th_names = ['TH_LOAD_RT', 'TH_LOAD_NT', 'TH_LOAD_HT', 'TH_LOAD_LU']
scope_names = ['SCOPE_CU', 'SCOPE_SE', 'SCOPE_DEV', 'SCOPE_SYS']
mods = (f" th:{th_names[th]}" if th else "") + (f" scope:{scope_names[scope]}" if scope else "")
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}{mods}"
if th or scope:
th_names = ['TH_LOAD_RT', 'TH_LOAD_NT', 'TH_LOAD_HT', 'TH_LOAD_LU']
scope_names = ['SCOPE_CU', 'SCOPE_SE', 'SCOPE_DEV', 'SCOPE_SYS']
mods = (f" th:{th_names[th]}" if th else "") + (f" scope:{scope_names[scope]}" if scope else "")
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}{mods}"
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}" + _mods((inst.glc, " glc"), (getattr(inst, 'dlc', 0), " dlc"))
def _disasm_flat(inst: FLAT) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
acc = getattr(inst, 'acc', 0)
reg_fn = _areg if acc else _vreg
seg = ['flat', 'scratch', 'global'][inst.seg] if inst.seg < 3 else 'flat'
instr = f"{seg}_{name.split('_', 1)[1] if '_' in name else name}"
off_val = inst.offset if seg == 'flat' else (inst.offset if inst.offset < 4096 else inst.offset - 8192)
# Use get_field_bits: data for stores/atomics, d for loads
regs = inst.canonical_op_regs
w = regs.get('data', regs.get('d', 1)) if 'store' in name or 'atomic' in name else regs.get('d', 1)
off_s = f" offset:{off_val}" if off_val else ""
if cdna: mods = f"{off_s}{' glc' if inst.sc0 else ''}{' slc' if inst.nt else ''}"
else: mods = f"{off_s}{' glc' if inst.glc else ''}{' slc' if inst.slc else ''}{' dlc' if inst.dlc else ''}"
if seg == 'flat' or _unwrap(inst.saddr) == 0x7F: saddr_s = ""
elif _unwrap(inst.saddr) == 124: saddr_s = ", off"
elif seg == 'scratch': saddr_s = f", {decode_src(inst.saddr, cdna)}"
elif _unwrap(inst.saddr) in (SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS): saddr_s = f", {(SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS)[_unwrap(inst.saddr)]}"
elif t := _ttmp(inst.saddr, 2): saddr_s = f", {t}"
else: saddr_s = f", {_sreg(inst.saddr, 2) if _unwrap(inst.saddr) < 106 else decode_src(_unwrap(inst.saddr), cdna)}"
if 'addtid' in name: return f"{instr} {reg_fn(inst.data if 'store' in name else inst.vdst)}{saddr_s}{mods}"
if cdna: addr_w = 1 if seg == 'scratch' else 2
else: addr_w = 1 if seg == 'scratch' or (_unwrap(inst.saddr) not in (0x7F, 124)) else 2
addr_s = "off" if not inst.sve and seg == 'scratch' else _vreg(inst.addr, addr_w)
data_s, vdst_s = reg_fn(inst.data, w), reg_fn(inst.vdst, w // 2 if 'cmpswap' in name else w)
glc_or_sc0 = inst.sc0 if cdna else inst.glc
if 'atomic' in name:
return f"{instr} {vdst_s}, {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}" if glc_or_sc0 else f"{instr} {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}"
if 'store' in name: return f"{instr} {addr_s}, {data_s}{saddr_s}{mods}"
return f"{instr} {reg_fn(inst.vdst, w)}, {addr_s}{saddr_s}{mods}"
def _disasm_ds(inst: DS) -> str:
op, name = inst.op, inst.op_name.lower()
acc = getattr(inst, 'acc', 0)
reg_fn = _areg if acc else _vreg
gds = " gds" if getattr(inst, 'gds', 0) else ""
off = f" offset:{inst.offset0 | (inst.offset1 << 8)}" if inst.offset0 or inst.offset1 else ""
off2 = (" offset0:" + str(inst.offset0) if inst.offset0 else "") + (" offset1:" + str(inst.offset1) if inst.offset1 else "")
# Use get_field_bits: data for stores/writes/atomics, d for loads
regs = inst.canonical_op_regs
w = regs.get('data', regs.get('d', 1)) if 'store' in name or 'write' in name or ('load' not in name and 'read' not in name) else regs.get('d', 1)
d0, d1, dst, addr = reg_fn(inst.data0, w), reg_fn(inst.data1, w), reg_fn(inst.vdst, w), _vreg(inst.addr)
if name == 'ds_nop': return name
if name == 'ds_bvh_stack_rtn_b32': return f"{name} {_vreg(inst.vdst)}, {addr}, {_vreg(inst.data0)}, {_vreg(inst.data1, 4)}{off}{gds}"
if 'bvh_stack_push' in name:
d1_regs = 8 if 'push8' in name else 4
vdst_regs = 2 if 'pop2' in name else 1
vdst_s = _vreg(inst.vdst, vdst_regs) if vdst_regs > 1 else _vreg(inst.vdst)
return f"{name} {vdst_s}, {addr}, {_vreg(inst.data0)}, {_vreg(inst.data1, d1_regs)}{off}{gds}"
if 'gws_sema' in name and 'sema_br' not in name: return f"{name}{off}{gds}"
if 'gws_' in name: return f"{name} {addr}{off}{gds}"
if name in ('ds_consume', 'ds_append'): return f"{name} {reg_fn(inst.vdst)}{off}{gds}"
if 'gs_reg' in name: return f"{name} {reg_fn(inst.vdst, 2)}, {reg_fn(inst.data0)}{off}{gds}"
if '2addr' in name:
if 'load' in name: return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}{off2}{gds}"
if 'store' in name and 'xchg' not in name: return f"{name} {addr}, {d0}, {d1}{off2}{gds}"
return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}, {d0}, {d1}{off2}{gds}"
if 'write2' in name: return f"{name} {addr}, {d0}, {d1}{off2}{gds}"
if 'read2' in name: return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}{off2}{gds}"
if 'load' in name: return f"{name} {reg_fn(inst.vdst)}{off}{gds}" if 'addtid' in name else f"{name} {dst}, {addr}{off}{gds}"
if 'store' in name and not _has(name, 'cmp', 'xchg'):
return f"{name} {reg_fn(inst.data0)}{off}{gds}" if 'addtid' in name else f"{name} {addr}, {d0}{off}{gds}"
if 'swizzle' in name or name == 'ds_ordered_count': return f"{name} {reg_fn(inst.vdst)}, {addr}{off}{gds}"
if 'permute' in name: return f"{name} {reg_fn(inst.vdst)}, {addr}, {reg_fn(inst.data0)}{off}{gds}"
if 'condxchg' in name: return f"{name} {reg_fn(inst.vdst, 2)}, {addr}, {reg_fn(inst.data0, 2)}{off}{gds}"
if _has(name, 'cmpstore', 'mskor', 'wrap'):
return f"{name} {dst}, {addr}, {d0}, {d1}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}, {d1}{off}{gds}"
return f"{name} {dst}, {addr}, {d0}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}{off}{gds}"
def _disasm_vop3(inst: VOP3) -> str:
op, name = inst.op, inst.op_name.lower()
n_up = name.upper()
bits = inst.canonical_op_bits
# RDNA4 v_s_* scalar VOP3 instructions - vdst is SGPR (VGPRField adds 256)
if name.startswith('v_s_'):
src = _lit(inst, inst.src0) if _unwrap(inst.src0) == 255 else ("src_scc" if _unwrap(inst.src0) == 253 else _fmt_src(inst.src0, max(1, bits['s0'] // 32)))
if inst.neg & 1: src = f"-{src}"
if inst.abs & 1: src = f"|{src}|"
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
vdst_raw = _unwrap(inst.vdst)
return f"{name} s{vdst_raw - 256 if vdst_raw >= 256 else vdst_raw}, {src}" + (" clamp" if clamp else "") + _omod(inst.omod)
# Use get_field_bits for register sizes and 16-bit detection
r0, r1, r2 = max(1, bits['s0'] // 32), max(1, bits['s1'] // 32), max(1, bits['s2'] // 32)
dn = max(1, bits['d'] // 32)
is16_d, is16_s, is16_s2 = bits['d'] == 16, bits['s0'] == 16, bits['s2'] == 16
s0 = _vop3_src(inst, inst.src0, inst.neg&1, inst.abs&1, inst.opsel&1, r0, is16_s)
s1 = _vop3_src(inst, inst.src1, inst.neg&2, inst.abs&2, inst.opsel&2, r1, is16_s)
s2 = _vop3_src(inst, inst.src2, inst.neg&4, inst.abs&4, inst.opsel&4, r2, is16_s2)
# Format destination
if 'readlane' in name:
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
dst = _fmt_sdst(vdst_off, 1)
elif is16_d: dst = f"{inst.vdst.fmt()}.h" if (inst.opsel & 8) else f"{inst.vdst.fmt()}.l"
else: dst = inst.vdst.fmt()
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
cl, om = " clamp" if clamp else "", _omod(inst.omod)
nonvgpr_opsel = (inst.src0.offset < 256 and (inst.opsel & 1)) or (inst.src1.offset < 256 and (inst.opsel & 2)) or (inst.src2.offset < 256 and (inst.opsel & 4))
need_opsel = nonvgpr_opsel or (inst.opsel and not is16_s)
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
e64 = "" if name.endswith('_e64') else "_e64"
if op_val < 256: # VOPC
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
return f"{name}{e64} {s0}, {s1}{cl}" if name.startswith('v_cmpx') else f"{name}{e64} {_fmt_sdst(vdst_off, 1)}, {s0}, {s1}{cl}"
if op_val < 384: # VOP2
n = inst.num_srcs() or 2
os = _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name}{e64} {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name}{e64} {dst}, {s0}, {s1}{os}{cl}{om}"
if op_val < 512: # VOP1
if re.match(r'v_cvt_f32_(bf|fp)8', name) and inst.opsel:
os = f" byte_sel:{((inst.opsel & 1) << 1) | ((inst.opsel >> 1) & 1)}"
else:
os = _opsel_str(inst.opsel, 1, need_opsel, is16_d)
if 'v_nop' in name or 'v_pipeflush' in name: return f"{name}{e64}"
return f"{name}{e64} {dst}, {s0}{os}{cl}{om}"
# Native VOP3
n = inst.num_srcs() or 2
os = f" byte_sel:{inst.opsel >> 2}" if 'cvt_sr' in name and inst.opsel else _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name} {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name} {dst}, {s0}, {s1}{os}{cl}{om}"
def _disasm_vop3sd(inst: VOP3SD) -> str:
name = inst.op_name.lower()
def src(reg, neg):
s = _lit(inst, reg.offset) if reg.offset == 255 else ("src_scc" if reg.offset == 253 else (reg.fmt() if reg.sz > 1 else _lit(inst, reg.offset)))
return f"neg({s})" if neg and reg.offset == 255 else (f"-{s}" if neg else s)
s0, s1, s2 = src(inst.src0, inst.neg & 1), src(inst.src1, inst.neg & 2), src(inst.src2, inst.neg & 4)
# VOP3SD: _co_ ops (add/sub) without _ci_ have only 2 sources, all others (mad, div_scale, _co_ci_) have 3 sources
has_only_two_srcs = '_co_' in name and '_ci_' not in name and 'mad' not in name
srcs = f"{s0}, {s1}" if has_only_two_srcs else f"{s0}, {s1}, {s2}"
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
return f"{name} {inst.vdst.fmt()}, {_fmt_sdst(inst.sdst, 1)}, {srcs}{' clamp' if clamp else ''}{_omod(inst.omod)}"
def _disasm_vopd(inst: VOPD) -> str:
lit = inst._literal or getattr(inst, 'literal', None)
is_rdna4 = 'rdna4' in inst.__class__.__module__
op_enum = R4_VOPDOp if is_rdna4 else VOPDOp
vdst_y, nx, ny = (_unwrap(inst.vdsty) << 1) | ((_unwrap(inst.vdstx) & 1) ^ 1), op_enum(inst.opx).name.lower(), op_enum(inst.opy).name.lower()
def half(n, vd, s0, vs1):
vd, vs1 = _vi(vd), _vi(vs1)
if 'mov' in n: return f"{n} v{vd}, {_lit(inst, s0)}"
if 'fmamk' in n and lit: return f"{n} v{vd}, {_lit(inst, s0)}, 0x{lit:x}, v{vs1}"
if 'fmaak' in n and lit: return f"{n} v{vd}, {_lit(inst, s0)}, v{vs1}, 0x{lit:x}"
return f"{n} v{vd}, {_lit(inst, s0)}, v{vs1}"
return f"{half(nx, inst.vdstx, inst.srcx0, inst.vsrcx1)} :: {half(ny, vdst_y, inst.srcy0, inst.vsrcy1)}"
def _disasm_vop3p(inst: VOP3P) -> str:
name = inst.op_name.lower()
is_wmma, is_swmmac, n, is_fma_mix = 'wmma' in name, 'swmmac' in name, inst.num_srcs() or 2, 'fma_mix' in name
def get_src(reg):
return _lit(inst, reg.offset) if reg.offset == 255 else reg.fmt()
src0, src1, src2, dst = get_src(inst.src0), get_src(inst.src1), get_src(inst.src2), inst.vdst.fmt()
opsel_hi = inst.opsel_hi | (inst.opsel_hi2 << 2)
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
if is_fma_mix:
def m(s, neg, abs_): return f"-{f'|{s}|' if abs_ else s}" if neg else (f"|{s}|" if abs_ else s)
src0, src1, src2 = m(src0, inst.neg & 1, inst.neg_hi & 1), m(src1, inst.neg & 2, inst.neg_hi & 2), m(src2, inst.neg & 4, inst.neg_hi & 4)
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi else []) + (["clamp"] if clamp else [])
elif is_swmmac:
mods = ([f"index_key:{inst.opsel}"] if inst.opsel else []) + ([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + \
([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if clamp else [])
else:
opsel_hi_default = 7 if n == 3 else 3
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != opsel_hi_default else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if clamp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}" if n == 3 else f"{name} {dst}, {src0}, {src1}{' ' + ' '.join(mods) if mods else ''}"
def _disasm_sop1(inst: SOP1) -> str:
op, name, cdna = inst.op, inst.op_name.lower(), _is_cdna(inst)
# Use get_field_bits for register sizes
regs = inst.canonical_op_regs
dst_regs, src_regs = regs.get('d', 1), regs.get('s0', 1)
src = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, src_regs, cdna)
if not cdna:
if 'getpc_b64' in name: return f"{name} {_fmt_sdst(inst.sdst, 2)}"
if 'setpc_b64' in name or 'rfe_b64' in name: return f"{name} {src}"
if 'swappc_b64' in name: return f"{name} {_fmt_sdst(inst.sdst, 2)}, {src}"
if 'sendmsg_rtn' in name:
v = _unwrap(inst.ssrc0)
msg_str = MSG.get(v)
return f"{name} {_fmt_sdst(inst.sdst, dst_regs)}, sendmsg({msg_str})" if msg_str else f"{name} {_fmt_sdst(inst.sdst, dst_regs)}, 0x{v:x}"
sop1_src_only = ('S_ALLOC_VGPR', 'S_SLEEP_VAR', 'S_BARRIER_SIGNAL', 'S_BARRIER_SIGNAL_ISFIRST', 'S_BARRIER_INIT', 'S_BARRIER_JOIN')
if inst.op_name in sop1_src_only: return f"{name} {src}"
return f"{name} {_fmt_sdst(inst.sdst, dst_regs, cdna)}, {src}"
def _disasm_sop2(inst: SOP2) -> str:
cdna, name = _is_cdna(inst), inst.op_name.lower()
lit = getattr(inst, '_literal', None)
# Use get_field_bits for register sizes
regs = inst.canonical_op_regs
dn, s0n, s1n = regs['d'], regs['s0'], regs['s1']
s0 = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, s0n, cdna)
s1 = _lit(inst, inst.ssrc1) if _unwrap(inst.ssrc1) == 255 else _fmt_src(inst.ssrc1, s1n, cdna)
dst = _fmt_sdst(inst.sdst, dn, cdna)
if 'fmamk' in name and lit is not None: return f"{name} {dst}, {s0}, 0x{lit:x}, {s1}"
if 'fmaak' in name and lit is not None: return f"{name} {dst}, {s0}, {s1}, 0x{lit:x}"
return f"{name} {dst}, {s0}, {s1}"
def _disasm_sopc(inst: SOPC) -> str:
cdna, regs = _is_cdna(inst), inst.canonical_op_regs
s0 = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, regs['s0'], cdna)
s1 = _lit(inst, inst.ssrc1) if _unwrap(inst.ssrc1) == 255 else _fmt_src(inst.ssrc1, regs['s1'], cdna)
return f"{inst.op_name.lower()} {s0}, {s1}"
def _disasm_sopk(inst: SOPK) -> str:
op, name, cdna = inst.op, inst.op_name.lower(), _is_cdna(inst)
is_rdna4 = 'rdna4' in inst.__class__.__module__
hw = HWREG_RDNA4 if is_rdna4 else HWREG
def fmt_hwreg(hid, hoff, hsz):
if hid not in hw: return f"0x{inst.simm16:x}"
hr_name = hw[hid]
return f"hwreg({hr_name})" if hoff == 0 and hsz == 32 else f"hwreg({hr_name}, {hoff}, {hsz})"
if name == 's_setreg_imm32_b32':
hid, hoff, hsz = inst.simm16 & 0x3f, (inst.simm16 >> 6) & 0x1f, ((inst.simm16 >> 11) & 0x1f) + 1
return f"{name} {fmt_hwreg(hid, hoff, hsz)}, 0x{inst._literal:x}"
if name == 's_version': return f"{name} 0x{inst.simm16:x}"
if name in ('s_setreg_b32', 's_getreg_b32'):
hid, hoff, hsz = inst.simm16 & 0x3f, (inst.simm16 >> 6) & 0x1f, ((inst.simm16 >> 11) & 0x1f) + 1
hs = fmt_hwreg(hid, hoff, hsz)
return f"{name} {hs}, {_fmt_sdst(inst.sdst, 1, cdna)}" if 'setreg' in name else f"{name} {_fmt_sdst(inst.sdst, 1, cdna)}, {hs}"
if name in ('s_subvector_loop_begin', 's_subvector_loop_end'):
return f"{name} {_fmt_sdst(inst.sdst, 1)}, 0x{inst.simm16:x}"
return f"{name} {_fmt_sdst(inst.sdst, inst.canonical_op_regs['d'], cdna)}, 0x{inst.simm16:x}"
def _disasm_vinterp(inst: VINTERP) -> str:
mods = _mods((inst.waitexp, f"wait_exp:{inst.waitexp}"), (inst.clmp, "clamp"))
return f"{inst.op_name.lower()} {inst.vdst.fmt()}, {_lit(inst, inst.src0, inst.neg & 1)}, {_lit(inst, inst.src1, inst.neg & 2)}, {_lit(inst, inst.src2, inst.neg & 4)}" + (" " + mods if mods else "")
DISASM_HANDLERS: dict[type, callable] = {
VOP1: _disasm_vop1, VOP1_SDST: _disasm_vop1, VOP2: _disasm_vop2, VOPC: _disasm_vopc, VOP3: _disasm_vop3, VOP3_SDST: _disasm_vop3, VOP3SD: _disasm_vop3sd, VOPD: _disasm_vopd, VOP3P: _disasm_vop3p,
VINTERP: _disasm_vinterp, SOPP: _disasm_sopp, SMEM: _disasm_smem, DS: _disasm_ds, FLAT: _disasm_flat, GLOBAL: _disasm_flat, SCRATCH: _disasm_flat,
SOP1: _disasm_sop1, SOP2: _disasm_sop2, SOPC: _disasm_sopc, SOPK: _disasm_sopk,
# RDNA4
R4_VOP1: _disasm_vop1, R4_VOP1_SDST: _disasm_vop1, R4_VOP2: _disasm_vop2, R4_VOPC: _disasm_vopc, R4_VOP3: _disasm_vop3, R4_VOP3_SDST: _disasm_vop3, R4_VOP3SD: _disasm_vop3sd,
R4_VOPD: _disasm_vopd, R4_VOP3P: _disasm_vop3p, R4_VINTERP: _disasm_vinterp, R4_SOPP: _disasm_sopp, R4_SMEM: _disasm_smem,
R4_DS: _disasm_ds, R4_SOP1: _disasm_sop1, R4_SOP2: _disasm_sop2, R4_SOPC: _disasm_sopc, R4_SOPK: _disasm_sopk}
def disasm(inst: Inst) -> str: return DISASM_HANDLERS[type(inst)](inst)
# ═══════════════════════════════════════════════════════════════════════════════
# CDNA DISASSEMBLER SUPPORT
# ═══════════════════════════════════════════════════════════════════════════════
try:
from extra.assembly.amd.autogen.cdna.ins import (VOP1 as CDNA_VOP1, VOP2 as CDNA_VOP2, VOPC as CDNA_VOPC, VOP3A, VOP3B, VOP3P as CDNA_VOP3P,
SOP1 as CDNA_SOP1, SOP2 as CDNA_SOP2, SOPC as CDNA_SOPC, SOPK as CDNA_SOPK, SOPP as CDNA_SOPP, SMEM as CDNA_SMEM, DS as CDNA_DS,
FLAT as CDNA_FLAT, VOP1Op as CDNA_VOP1Op, VOP2Op as CDNA_VOP2Op, VOPCOp as CDNA_VOPCOp)
def _cdna_src(inst, v, neg, abs_=0, n=1):
s = _lit(inst, v) if v == 255 else _fmt_src(v, n, cdna=True)
if abs_: s = f"|{s}|"
return f"neg({s})" if neg and v == 255 else (f"-{s}" if neg else s)
_CDNA_VOP3_ALIASES = {'v_fmac_f64': 'v_mul_legacy_f32', 'v_dot2c_f32_bf16': 'v_mac_f32'}
def _disasm_vop3a(inst) -> str:
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
name = inst.op_name.lower() or f'vop3a_op_{op_val}'
n = inst.num_srcs() or _num_srcs(inst)
cl, om = " clamp" if inst.clmp else "", _omod(inst.omod)
orig_name = name
name = _CDNA_VOP3_ALIASES.get(name, name)
if name != orig_name:
s0, s1 = _cdna_src(inst, inst.src0, inst.neg&1, inst.abs&1, 1), _cdna_src(inst, inst.src1, inst.neg&2, inst.abs&2, 1)
s2 = ""
dst = _vreg(inst.vdst)
else:
regs = inst.canonical_op_regs
dregs, r0, r1, r2 = regs['d'], regs['s0'], regs['s1'], regs['s2']
s0, s1, s2 = _cdna_src(inst, inst.src0, inst.neg&1, inst.abs&1, r0), _cdna_src(inst, inst.src1, inst.neg&2, inst.abs&2, r1), _cdna_src(inst, inst.src2, inst.neg&4, inst.abs&4, r2)
dst = _vreg(inst.vdst, dregs) if dregs > 1 else _vreg(inst.vdst)
if op_val >= 512:
return f"{name} {dst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name} {dst}, {s0}, {s1}{cl}{om}"
if op_val < 256:
sdst = _fmt_sdst(inst.vdst, 2, cdna=True)
return f"{name}_e64 {sdst}, {s0}, {s1}{cl}"
if 320 <= op_val < 512:
if name in ('v_nop', 'v_clrexcp'): return f"{name}_e64"
return f"{name}_e64 {dst}, {s0}{cl}{om}"
if name == 'v_cndmask_b32':
s2 = _fmt_src(inst.src2, 2, cdna=True)
return f"{name}_e64 {dst}, {s0}, {s1}, {s2}{cl}{om}"
if name in ('v_mul_legacy_f32', 'v_mac_f32'):
return f"{name}_e64 {dst}, {s0}, {s1}{cl}{om}"
suf = "_e64" if op_val < 512 else ""
return f"{name}{suf} {dst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name}{suf} {dst}, {s0}, {s1}{cl}{om}"
def _disasm_vop3b(inst) -> str:
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
name = inst.op_name.lower() or f'vop3b_op_{op_val}'
n = inst.num_srcs() or _num_srcs(inst)
regs = inst.canonical_op_regs
dregs, r0, r1, r2 = regs['d'], regs['s0'], regs['s1'], regs['s2']
s0, s1, s2 = _cdna_src(inst, inst.src0, inst.neg&1, n=r0), _cdna_src(inst, inst.src1, inst.neg&2, n=r1), _cdna_src(inst, inst.src2, inst.neg&4, n=r2)
dst = _vreg(inst.vdst, dregs) if dregs > 1 else _vreg(inst.vdst)
sdst = _fmt_sdst(inst.sdst, 2, cdna=True)
cl, om = " clamp" if inst.clmp else "", _omod(inst.omod)
if name in ('v_addc_co_u32', 'v_subb_co_u32', 'v_subbrev_co_u32'):
s2 = _fmt_src(inst.src2, 2, cdna=True)
return f"{name}_e64 {dst}, {sdst}, {s0}, {s1}, {s2}{cl}{om}"
suf = "_e64" if 'co_' in name else ""
return f"{name}{suf} {dst}, {sdst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name}{suf} {dst}, {sdst}, {s0}, {s1}{cl}{om}"
def _disasm_cdna_vop3p(inst) -> str:
name, n = inst.op_name.lower(), inst.num_srcs() or 2
is_mfma = 'mfma' in name or 'smfmac' in name
is_accvgpr = 'accvgpr' in name
get_src = lambda v, sc: _lit(inst, v) if v == 255 else _fmt_src(v, sc, cdna=True)
# Handle accvgpr read/write (accumulator register operations)
if is_accvgpr:
src0_off = _unwrap(inst.src0)
vdst_off = _vi(inst.vdst)
if 'read' in name:
# v_accvgpr_read_b32 vN, aM - reads from accumulator to VGPR
return f"{name}_b32 v{vdst_off}, a{src0_off - 256 if src0_off >= 256 else src0_off}"
if 'write' in name:
# v_accvgpr_write_b32 aM, src - writes to accumulator from source
src = _lit(inst, inst.src0) if src0_off == 255 else (f"v{src0_off - 256}" if src0_off >= 256 else decode_src(src0_off, cdna=True))
return f"{name}_b32 a{vdst_off}, {src}"
# Handle MFMA instructions with accumulator destinations
if is_mfma:
sc = 2 if 'iu4' in name else 4 if 'iu8' in name or 'i4' in name else 8 if 'f16' in name or 'bf16' in name else 4
src0, src1, src2 = get_src(inst.src0, sc), get_src(inst.src1, sc), get_src(inst.src2, 16)
dst = _areg(inst.vdst, 16) # MFMA uses accumulator registers
opsel_hi = inst.opsel_hi
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != 3 else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if inst.clmp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}"
# Standard VOP3P instructions
src0, src1, src2, dst = get_src(inst.src0, 1), get_src(inst.src1, 1), get_src(inst.src2, 1), _vreg(inst.vdst)
opsel_hi = inst.opsel_hi # CDNA VOP3P only has 2 bits for opsel_hi (no opsel_hi2)
opsel_hi_default = 3 # CDNA default is 0b11 (2 bits), not 0b111 like RDNA
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != opsel_hi_default else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if inst.clmp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}" if n == 3 else f"{name} {dst}, {src0}, {src1}{' ' + ' '.join(mods) if mods else ''}"
DISASM_HANDLERS.update({CDNA_VOP1: _disasm_vop1, CDNA_VOP2: _disasm_vop2, CDNA_VOPC: _disasm_vopc,
CDNA_SOP1: _disasm_sop1, CDNA_SOP2: _disasm_sop2, CDNA_SOPC: _disasm_sopc, CDNA_SOPK: _disasm_sopk, CDNA_SOPP: _disasm_sopp,
CDNA_SMEM: _disasm_smem, CDNA_DS: _disasm_ds, CDNA_FLAT: _disasm_flat,
VOP3A: _disasm_vop3a, VOP3B: _disasm_vop3b, CDNA_VOP3P: _disasm_cdna_vop3p})
except ImportError:
pass
@@ -1,24 +1,27 @@
# dsl.py - clean DSL for AMD assembly
from typing import Any
# ══════════════════════════════════════════════════════════════
# Registers - unified src encoding space (0-511)
# ══════════════════════════════════════════════════════════════
def _reg_size(t: str | None) -> int: return {'b64': 2, 'f64': 2, 'u64': 2, 'i64': 2, 'b128': 4}.get(t, 1)
class Reg:
# Register names vary by arch: RDNA has NULL@124/M0@125, CDNA has M0@124/reserved@125
# RDNA4 has DPP8@233, CDNA has SDWA@249/DPP@250/VCCZ@251/EXECZ@252
_NAMES = {102: "FLAT_SCRATCH_LO", 103: "FLAT_SCRATCH_HI", 104: "XNACK_MASK_LO", 105: "XNACK_MASK_HI",
106: "VCC_LO", 107: "VCC_HI", 124: "NULL", 125: "M0", 126: "EXEC_LO", 127: "EXEC_HI",
233: "DPP8", 234: "DPP8FI", 235: "SHARED_BASE", 236: "SHARED_LIMIT", 237: "PRIVATE_BASE", 238: "PRIVATE_LIMIT",
_NAMES = {106: "VCC_LO", 107: "VCC_HI", 124: "NULL", 125: "M0", 126: "EXEC_LO", 127: "EXEC_HI",
240: "0.5", 241: "-0.5", 242: "1.0", 243: "-1.0", 244: "2.0", 245: "-2.0", 246: "4.0", 247: "-4.0",
248: "INV_2PI", 249: "SDWA", 250: "DPP", 251: "VCCZ", 252: "EXECZ", 253: "SCC", 254: "SRC_LDS_DIRECT", 255: "LIT"}
248: "INV_2PI", 250: "DPP16", 253: "SCC", 255: "LIT"}
_PAIRS = {106: "VCC", 126: "EXEC"}
def __init__(self, offset: int = 0, sz: int = 512, *, neg: bool = False, abs_: bool = False, hi: bool = False):
self.offset, self.sz = offset, sz
self.neg, self.abs_, self.hi = neg, abs_, hi
# TODO: remove these legacy aliases
@property
def count(self): return self.sz
@property
def idx(self): return self.offset
def __hash__(self): return hash((self.offset, self.sz, self.neg, self.abs_, self.hi))
def __getitem__(self, key):
if isinstance(key, slice):
@@ -44,15 +47,11 @@ class Reg:
def fmt(self, sz=None, parens=False, upper=False) -> str:
o, sz = self.offset, sz or self.sz
l, r = ("[", "]") if parens or sz > 1 else ("", "") # brackets for multi-reg or when parens=True
if 256 <= o < 512:
idx = o - 256
base = f"v{l}{idx}{r}" if sz == 1 else f"v[{idx}:{idx + sz - 1}]"
if 256 <= o < 512: idx = o - 256; base = f"v{l}{idx}{r}" if sz == 1 else f"v[{idx}:{idx + sz - 1}]"
elif o < 106: base = f"s{l}{o}{r}" if sz == 1 else f"s[{o}:{o + sz - 1}]"
elif sz == 2 and o in self._PAIRS: base = self._PAIRS[o] if upper else self._PAIRS[o].lower()
elif o in self._NAMES: base = self._NAMES[o] if upper else self._NAMES[o].lower() # special regs (any sz)
elif 108 <= o < 124:
idx = o - 108
base = f"ttmp{l}{idx}{r}" if sz == 1 else f"ttmp[{idx}:{idx + sz - 1}]"
elif 108 <= o < 124: idx = o - 108; base = f"ttmp{l}{idx}{r}" if sz == 1 else f"ttmp[{idx}:{idx + sz - 1}]"
elif 128 <= o <= 192: base = str(o - 128) # inline int constants (0-64)
elif 193 <= o <= 208: base = str(-(o - 192)) # inline negative int constants (-1 to -16)
else: raise RuntimeError(f"unknown register: offset={o}, sz={sz}")
@@ -79,13 +78,9 @@ EXEC = src[126:127]
# 128: 0, 129-192: integers 1-64, 193-208: integers -1 to -16
# 240-248: float constants (0.5, -0.5, 1.0, -1.0, 2.0, -2.0, 4.0, -4.0, 1/(2*PI))
INV_2PI = src[248]
SDWA = src[249]
DPP = DPP16 = src[250]
VCCZ = src[251]
EXECZ = src[252]
DPP16 = src[250]
SCC = src[253]
SRC_LDS_DIRECT = src[254]
LIT = src[255] # literal constant marker
# 255: literal constant
v = src[256:511] # VGPR0-255
# ══════════════════════════════════════════════════════════════
@@ -98,13 +93,12 @@ class _Bits:
bits = _Bits()
class BitField:
name: str | None
def __init__(self, hi: int, lo: int, default = 0):
def __init__(self, hi: int, lo: int, default: int = 0):
self.hi, self.lo, self.default, self.name, self.mask = hi, lo, default, None, (1 << (hi - lo + 1)) - 1
def __set_name__(self, owner, name: str): self.name = name
def __eq__(self, other) -> 'FixedBitField': # type: ignore[override]
def __set_name__(self, owner, name): self.name = name
def __eq__(self, other) -> 'FixedBitField':
if isinstance(other, int): return FixedBitField(self.hi, self.lo, other)
raise TypeError(f"BitField.__eq__ expects int, got {type(other).__name__}")
return NotImplemented
def enum(self, enum_cls) -> 'EnumBitField': return EnumBitField(self.hi, self.lo, enum_cls)
def encode(self, val) -> int:
assert isinstance(val, int), f"BitField.encode expects int, got {type(val).__name__}"
@@ -113,14 +107,11 @@ class BitField:
def set(self, raw: int, val) -> int:
if val is None: val = self.default
encoded = self.encode(val)
# Handle signed values: convert negative to 2's complement
if encoded < 0: encoded = encoded & self.mask
if encoded < 0 or encoded > self.mask: raise RuntimeError(f"field '{self.name}': value {encoded} doesn't fit in {self.hi - self.lo + 1} bits")
return (raw & ~(self.mask << self.lo)) | (encoded << self.lo)
def __get__(self, obj, objtype=None):
if obj is None: return self
return self.decode((obj._raw >> self.lo) & self.mask)
def __set__(self, obj, val): obj._raw = self.set(obj._raw, val)
class FixedBitField(BitField):
def set(self, raw: int, val=None) -> int:
@@ -128,14 +119,11 @@ class FixedBitField(BitField):
return super().set(raw, self.default)
class EnumBitField(BitField):
def __init__(self, hi: int, lo: int, enum_cls, allowed: set | None = None):
def __init__(self, hi: int, lo: int, enum_cls):
super().__init__(hi, lo)
self._enum = enum_cls
self.allowed = allowed # if set, only these enum values are valid for this encoding
def encode(self, val) -> int:
if not isinstance(val, self._enum): raise RuntimeError(f"expected {self._enum.__name__}, got {type(val).__name__}")
if self.allowed is not None and val not in self.allowed:
raise RuntimeError(f"opcode {val.name} not allowed in this encoding")
return val.value
def decode(self, raw): return self._enum(raw)
@@ -155,8 +143,7 @@ class SrcField(BitField):
expected_size = self._valid_range[1] - self._valid_range[0] + 1
actual_size = 1 << (hi - lo + 1)
if actual_size != expected_size:
raise RuntimeError(f"{self.__class__.__name__}: field size {hi - lo + 1} bits ({actual_size}) "
f"doesn't match range {self._valid_range} ({expected_size})")
raise RuntimeError(f"{self.__class__.__name__}: field size {hi - lo + 1} bits ({actual_size}) doesn't match range {self._valid_range} ({expected_size})")
def encode(self, val) -> int:
"""Encode value. Returns 255 (literal marker) for out-of-range values."""
@@ -178,10 +165,7 @@ class SrcField(BitField):
# Resize register based on operand info (skip non-resizable special registers)
# VCC/EXEC pairs (106, 126), NULL (124), M0 (125), float constants (240-255)
if reg.offset not in (124, 125) and not 240 <= reg.offset <= 255:
# Map variant field names (vsrc0->src0, vsrc1->src1, etc.) for DPP/SDWA classes
assert self.name is not None
name = self.name[1:] if self.name.startswith('v') and self.name[1:] in obj.op_regs else self.name
if sz := obj.op_regs.get(name, 1): reg = Reg(reg.offset, sz, neg=reg.neg, abs_=reg.abs_, hi=reg.hi)
if sz := obj.op_regs.get(self.name, 1): reg = Reg(reg.offset, sz, neg=reg.neg, abs_=reg.abs_, hi=reg.hi)
return reg
class VGPRField(SrcField):
@@ -224,49 +208,22 @@ class VDSTYField(BitField):
if not isinstance(val, Reg): raise TypeError(f"VDSTYField requires Reg, got {type(val).__name__}")
if not (256 <= val.offset < 512): raise ValueError(f"VDSTYField requires VGPR, got offset {val.offset}")
return (val.offset - 256) >> 1
def __get__(self, obj, objtype=None):
if obj is None: return self
raw = (obj._raw >> self.lo) & self.mask
vdstx_bit0 = (obj.vdstx.offset - 256) & 1
vgpr_idx = (raw << 1) | (vdstx_bit0 ^ 1)
return Reg(256 + vgpr_idx, 1)
def decode(self, raw): return raw # raw value, actual vdsty = (raw << 1) | ((vdstx & 1) ^ 1)
# ══════════════════════════════════════════════════════════════
# Operand info from XML
# ══════════════════════════════════════════════════════════════
import functools
from tinygrad.runtime.autogen.amd.rdna3.operands import OPERANDS as OPERANDS_RDNA3
from tinygrad.runtime.autogen.amd.rdna4.operands import OPERANDS as OPERANDS_RDNA4
from tinygrad.runtime.autogen.amd.cdna.operands import OPERANDS as OPERANDS_CDNA
from extra.assembly.amd.autogen.rdna3.operands import OPERANDS as OPERANDS_RDNA3
from extra.assembly.amd.autogen.rdna4.operands import OPERANDS as OPERANDS_RDNA4
from extra.assembly.amd.autogen.cdna.operands import OPERANDS as OPERANDS_CDNA
OPERANDS = {**OPERANDS_CDNA, **OPERANDS_RDNA3, **OPERANDS_RDNA4}
# ══════════════════════════════════════════════════════════════
# Inst base class
# ══════════════════════════════════════════════════════════════
def _needs_literal(val) -> bool:
"""Check if a value needs a literal constant (can't be encoded inline)."""
if val is None or isinstance(val, Reg): return False
if isinstance(val, float): return val not in SrcField._FLOAT_ENC
if isinstance(val, int): return not (0 <= val <= 64 or -16 <= val < 0)
return False
def _get_variant(cls, suffix: str):
"""Get a variant class by suffix (e.g., '_LIT') via module lookup."""
import sys
module = sys.modules.get(cls.__module__)
return getattr(module, f"{cls.__name__}{suffix}", None) if module else None
def _canonical_name(name: str) -> str | None:
"""Map operand name to canonical name."""
if name in ('src0', 'vsrc0', 'ssrc0'): return 's0'
if name in ('src1', 'vsrc1', 'ssrc1'): return 's1'
if name == 'src2': return 's2'
if name in ('vdst', 'sdst', 'sdata'): return 'd'
if name in ('data', 'vdata', 'data0', 'vsrc'): return 'data'
return None
class Inst:
_fields: list[tuple[str, BitField]]
_base_size: int
@@ -276,36 +233,23 @@ class Inst:
inherited = {}
for base in reversed(cls.__mro__[1:]):
if hasattr(base, '_fields'):
inherited.update(dict(base._fields))
inherited.update({name: field for name, field in base._fields})
inherited.update({name: val for name, val in cls.__dict__.items() if isinstance(val, BitField)})
cls._fields = list(inherited.items())
cls._base_size = (max(f.hi for _, f in cls._fields) + 8) // 8
def __new__(cls, *args, **kwargs):
# Auto-upgrade to variant if needed (only for base classes, not variants)
if not any(cls.__name__.endswith(sfx) for sfx in ('_LIT', '_DPP16', '_DPP8', '_SDWA', '_SDWA_SDST', '_MFMA')):
args_iter = iter(args)
for name, field in cls._fields:
if isinstance(field, FixedBitField): continue
val = kwargs.get(name) if name in kwargs else next(args_iter, None)
if not isinstance(field, SrcField): continue
if isinstance(val, Reg) and val.offset == 255 and (lit_cls := _get_variant(cls, '_LIT')): return lit_cls(*args, **kwargs)
if isinstance(val, Reg) and val.offset == 249:
if (sdwa_cls := _get_variant(cls, '_SDWA') or _get_variant(cls, '_SDWA_SDST')): return sdwa_cls(*args, **kwargs)
if isinstance(val, Reg) and val.offset == 250 and (dpp_cls := _get_variant(cls, '_DPP16')): return dpp_cls(*args, **kwargs)
if _needs_literal(val) and (lit_cls := _get_variant(cls, '_LIT')): return lit_cls(*args, **kwargs)
return object.__new__(cls)
def __init__(self, *args, **kwargs):
self._raw = 0
self._literal: int | None = kwargs.pop('literal', None)
# Map positional args to field names (skip FixedBitFields)
args_iter = iter(args)
vals: dict[str, Any] = {}
vals = {}
for name, field in self._fields:
if isinstance(field, FixedBitField): vals[name] = None
elif name in kwargs: vals[name] = kwargs[name]
else: vals[name] = next(args_iter, None)
assert not (remaining := list(args_iter)), f"too many positional args: {remaining}"
remaining = list(args_iter)
assert not remaining, f"too many positional args: {remaining}"
# Extract modifiers from Reg objects and merge into neg/abs/opsel
neg_bits, abs_bits, opsel_bits = 0, 0, 0
for name, bit in [('src0', 0), ('src1', 1), ('src2', 2)]:
@@ -319,27 +263,23 @@ class Inst:
if neg_bits: vals['neg'] = (vals.get('neg') or 0) | neg_bits
if abs_bits: vals['abs'] = (vals.get('abs') or 0) | abs_bits
if opsel_bits: vals['opsel'] = (vals.get('opsel') or 0) | opsel_bits
# For _LIT classes, capture literal value from SrcFields that encode to 255
literal_val = None
for name, field in self._fields:
val = vals[name]
if isinstance(field, SrcField) and val is not None and _needs_literal(val):
literal_val = _f32(val) if isinstance(val, float) else val & 0xFFFFFFFF
if literal_val is not None and 'literal' in vals:
vals['literal'] = literal_val
# Set all field values
for name, field in self._fields:
self._raw = field.set(self._raw, vals[name])
# Validate register sizes against operand info (skip special registers like NULL, VCC, EXEC, SDWA/DPP markers)
val = vals[name]
self._raw = field.set(self._raw, val)
# Capture literal for SrcFields that encoded to 255
if isinstance(field, SrcField) and val is not None and field.encode(val) + field._valid_range[0] == 255 and self._literal is None:
self._literal = _f32(val) if isinstance(val, float) else val & 0xFFFFFFFF
# Validate register sizes against operand info (skip special registers like NULL, VCC, EXEC)
for name, expected in self.op_regs.items():
if (val := vals.get(name)) is None: continue
if isinstance(val, Reg) and val.sz != expected and not (106 <= val.offset <= 127 or 249 <= val.offset <= 255):
if isinstance(val, Reg) and val.sz != expected and not (106 <= val.offset <= 127 or val.offset == 253):
raise TypeError(f"{name} expects {expected} register(s), got {val.sz}")
@property
def op_name(self) -> str: return getattr(self, 'op').name
def op_name(self) -> str: return self.op.name
@property
def operands(self) -> dict: return OPERANDS.get(getattr(self, 'op'), {}) if hasattr(self, 'op') else {}
def operands(self) -> dict: return OPERANDS.get(self.op, {}) if hasattr(self, 'op') else {}
def _is_cdna(self) -> bool: return 'cdna' in type(self).__module__
@functools.cached_property
@@ -351,26 +291,17 @@ class Inst:
if not self._is_cdna():
name = self.op_name.lower()
if 'cndmask' in name and 'src2' in bits: bits['src2'] = 32
if '_co_ci_' in name and 'src2' in bits: bits['src2'] = 32 # carry-in source
# VOP3SD: sdst is always wavefront-size dependent (carry-out or condition mask)
if 'VOP3SD' in type(self).__name__ and 'sdst' in bits: bits['sdst'] = 32
if '_co_ci_' in name:
if 'src2' in bits: bits['src2'] = 32
if 'sdst' in bits: bits['sdst'] = 32
if 'cmp' in name and 'vdst' in bits: bits['vdst'] = 32
# GLOBAL/FLAT: addr is 32-bit if saddr is valid SGPR, 64-bit if saddr is NULL
# SCRATCH: addr is always 32-bit (offset from scratch base, not absolute address)
if 'addr' in bits and (saddr_field := getattr(type(self), 'saddr', None)) and type(self).__name__ not in ('SCRATCH', 'VSCRATCH'):
if 'addr' in bits and (saddr_field := getattr(type(self), 'saddr', None)):
saddr_val = (self._raw >> saddr_field.lo) & saddr_field.mask # access _raw directly to avoid recursion
bits['addr'] = 64 if saddr_val in (124, 125) else 32 # 124=NULL, 125=M0
# MUBUF/MTBUF: vaddr size depends on offen/idxen (1 or 2 regs)
if 'vaddr' in bits and hasattr(self, 'offen') and hasattr(self, 'idxen'):
bits['vaddr'] = max(1, self.offen + self.idxen) * 32
# F8F6F4 MFMA: CBSZ selects matrix A format, BLGP selects matrix B format
# VGPRs: FP8/BF8(0,1)=8, FP6/BF6(2,3)=6, FP4(4)=4
if 'f8f6f4' in getattr(self, 'op_name', '').lower():
# Use explicit fields if available (VOP3PX2), else extract from VOP3P-MAI bit positions
cbsz = getattr(self, 'cbsz') if hasattr(type(self), 'cbsz') else (self._raw >> 8) & 0x7
blgp = getattr(self, 'blgp') if hasattr(type(self), 'blgp') else (self._raw >> 61) & 0x7
vgprs = {0: 8, 1: 8, 2: 6, 3: 6, 4: 4}
bits['src0'], bits['src1'] = vgprs.get(cbsz, 8) * 32, vgprs.get(blgp, 8) * 32
return bits
@property
def op_regs(self) -> dict[str, int]:
@@ -382,17 +313,12 @@ class Inst:
"""Get bit widths with canonical names: {'s0', 's1', 's2', 'd', 'data'}."""
bits = {'d': 32, 's0': 32, 's1': 32, 's2': 32, 'data': 32}
for name, val in self.op_bits.items():
if (cn := _canonical_name(name)): bits[cn] = val
if name in ('src0', 'vsrc0', 'ssrc0'): bits['s0'] = val
elif name in ('src1', 'vsrc1', 'ssrc1'): bits['s1'] = val
elif name == 'src2': bits['s2'] = val
elif name in ('vdst', 'sdst', 'sdata'): bits['d'] = val
elif name in ('data', 'vdata', 'data0'): bits['data'] = val
return bits
@functools.cached_property
def canonical_operands(self) -> dict:
"""Get operands with canonical names: {'s0', 's1', 's2', 'd', 'data'}."""
result = {}
for name, val in self.operands.items():
if (cn := _canonical_name(name)): result[cn] = val
return result
@property
def canonical_op_regs(self) -> dict[str, int]:
"""Get register counts with canonical names: {'s0', 's1', 's2', 'd', 'data'}."""
@@ -407,43 +333,37 @@ class Inst:
return 0
@classmethod
def _size(cls) -> int: return cls._base_size
def size(self) -> int: return self._base_size
def disasm(self) -> str: raise NotImplementedError("disasm is no longer supported")
def size(self) -> int: return self._base_size + (4 if self._literal is not None else 0)
def disasm(self) -> str:
from extra.assembly.amd.disasm import disasm
return disasm(self)
def to_bytes(self) -> bytes: return self._raw.to_bytes(self._base_size, 'little')
def to_bytes(self) -> bytes:
result = self._raw.to_bytes(self._base_size, 'little')
if self._literal is not None:
result += (self._literal & 0xFFFFFFFF).to_bytes(4, 'little')
return result
@property
def _literal(self) -> int | None:
"""Get the literal value if this instruction has one."""
return getattr(self, 'literal', None)
def _variant_suffix(self) -> str | None:
"""Check if instruction needs a variant class (_LIT, _DPP8, _DPP16, _SDWA). Returns suffix or None."""
cls_name = type(self).__name__
# Don't check for variants if we're already a variant class
if any(s in cls_name for s in ('_LIT', '_DPP8', '_DPP16', '_SDWA')): return None
# VOPD: FMAMK/FMAAK opcodes always require literal (check by name since enum may differ across archs)
for name in ('opx', 'opy'):
if hasattr(self, name) and any(x in getattr(self, name).name for x in ('FMAMK', 'FMAAK')): return '_LIT'
def has_literal(self) -> bool:
"""Check if instruction has a 32-bit literal constant."""
for name, field in self._fields:
if isinstance(field, SrcField):
off = getattr(self, name).offset
if off == 255: return '_LIT'
if off == 249: return '_SDWA' if self._is_cdna() else '_DPP8'
if off == 250: return '_DPP16'
return None
if isinstance(field, SrcField) and getattr(self, name).offset == 255:
return True
# Check op, opx, opy for instructions that always have literals
for attr in ('op', 'opx', 'opy'):
if hasattr(self, attr) and any(x in getattr(self, attr).name for x in ('FMAMK', 'FMAAK', 'MADMK', 'MADAK', 'SETREG_IMM32')):
return True
return False
@classmethod
def from_bytes(cls, data: bytes):
inst = object.__new__(cls)
inst._raw = int.from_bytes(data[:cls._base_size], 'little')
# Upgrade to variant class if needed (_LIT, _DPP8, _DPP16, _SDWA)
if (suffix := inst._variant_suffix()) and (var_cls := _get_variant(cls, suffix)) is not None:
return var_cls.from_bytes(data)
inst._literal = int.from_bytes(data[cls._base_size:cls._base_size + 4], 'little') if inst.has_literal() else None
return inst
def __eq__(self, other): return type(self) is type(other) and self._raw == other._raw
def __hash__(self): return hash((type(self), self._raw))
def __eq__(self, other): return type(self) is type(other) and self._raw == other._raw and self._literal == other._literal
def __hash__(self): return hash((type(self), self._raw, self._literal))
def __repr__(self):
# collect (repr, is_default) pairs, strip trailing defaults so repr roundtrips with eval
+479
View File
@@ -0,0 +1,479 @@
# RDNA3 emulator - executes compiled pseudocode from AMD ISA PDF
# mypy: ignore-errors
from __future__ import annotations
import ctypes, functools
from enum import IntEnum
from tinygrad.runtime.autogen import hsa
from extra.assembly.amd.dsl import Inst, NULL, SCC, VCC_LO, VCC_HI, EXEC_LO, EXEC_HI, v, s
from extra.assembly.amd.pcode import _f32, _i32, _sext, _f16, _i16, _f64, _i64
from extra.assembly.amd.decode import decode_inst
from extra.assembly.amd.pcode import compile_pseudocode
from extra.assembly.amd.autogen.rdna3.str_pcode import PCODE
from extra.assembly.amd.autogen.rdna3.ins import (SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, VOP1, VOP2, VOP3, VOP3SD, VOP3P, VOPC, DS, FLAT, VOPD,
SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, SMEMOp, VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOP3POp, VOPCOp, DSOp, FLATOp, GLOBALOp, SCRATCHOp, VOPDOp)
# Constants and helpers defined locally (not imported from dsl.py)
MASK32, MASK64 = 0xFFFFFFFF, 0xFFFFFFFFFFFFFFFF
FLOAT_ENC = {0.5: 240, -0.5: 241, 1.0: 242, -1.0: 243, 2.0: 244, -2.0: 245, 4.0: 246, -4.0: 247}
class SGPRArray:
"""SGPR array indexed by Reg or int."""
__slots__ = ('_data',)
def __init__(self, size: int): self._data = [0] * size
def __getitem__(self, key): return self._data[getattr(key, 'offset', key)]
def __setitem__(self, key, val): self._data[getattr(key, 'offset', key)] = val
def __len__(self): return len(self._data)
def __iter__(self): return iter(self._data)
class VGPRLane:
"""Single lane of VGPRs indexed by Reg (offset 256-511) or int (0-255)."""
__slots__ = ('_data',)
def __init__(self, size: int): self._data = [0] * size
def __getitem__(self, key):
i = getattr(key, 'offset', key)
return self._data[i - 256 if i >= 256 else i]
def __setitem__(self, key, val):
i = getattr(key, 'offset', key)
self._data[i - 256 if i >= 256 else i] = val
def __len__(self): return len(self._data)
def __iter__(self): return iter(self._data)
WAVE_SIZE, SGPR_COUNT, VGPR_COUNT = 32, 128, 256
# Inline constants for src operands 128-254. Build tables for f32, f16, and f64 formats.
_FLOAT_CONSTS = {v: k for k, v in FLOAT_ENC.items()} | {248: 0.15915494309189535} # INV_2PI
def _build_inline_consts(mask, to_bits):
tbl = list(range(65)) + [((-i) & mask) for i in range(1, 17)] + [0] * (127 - 81)
for k, v in _FLOAT_CONSTS.items(): tbl[k - 128] = to_bits(v)
return tbl
_INLINE_CONSTS = _build_inline_consts(MASK32, _i32)
_INLINE_CONSTS_F16 = _build_inline_consts(0xffff, _i16)
_INLINE_CONSTS_F64 = _build_inline_consts(MASK64, _i64)
# Helper: extract/write 16-bit half from/to 32-bit value
def _src16(raw: int, is_hi: bool) -> int: return ((raw >> 16) & 0xffff) if is_hi else (raw & 0xffff)
def _dst16(cur: int, val: int, is_hi: bool) -> int: return (cur & 0x0000ffff) | ((val & 0xffff) << 16) if is_hi else (cur & 0xffff0000) | (val & 0xffff)
def _vgpr_hi(src) -> bool: return src.offset >= 256 and ((src.offset - 256) & 0x80) != 0
def _vgpr_masked(src): return v[(src.offset - 256) & 0x7f] if src.offset >= 256 else src
# VOP3 source modifier: apply abs/neg to value
def _mod_src(val: int, idx: int, neg: int, abs_: int, is64: bool = False) -> int:
to_f, to_i = (_f64, _i64) if is64 else (_f32, _i32)
if (abs_ >> idx) & 1: val = to_i(abs(to_f(val)))
if (neg >> idx) & 1: val = to_i(-to_f(val))
return val
# Read source operand with VOP3 modifiers
def _read_src(st, inst, src, idx: int, lane: int, neg: int, abs_: int, opsel: int) -> int:
if src is None: return 0
src_off = src.offset
src_bits = inst.canonical_op_bits[f's{idx}']
literal, is_src_64, is_src_16 = inst._literal, src_bits == 64, src_bits == 16
if is_src_64: return _mod_src(st.rsrc64(src, lane, literal), idx, neg, abs_, is64=True)
if isinstance(inst, VOP3P):
opsel_hi = inst.opsel_hi | (inst.opsel_hi2 << 2)
if 'FMA_MIX' in inst.op_name:
raw = st.rsrc(src, lane, literal)
sign_bit = (15 if not (opsel & (1 << idx)) else 31) if (opsel_hi >> idx) & 1 else 31
if inst.neg_hi & (1 << idx): raw &= ~(1 << sign_bit)
if neg & (1 << idx): raw ^= (1 << sign_bit)
return raw
raw = st.rsrc_f16(src, lane, literal)
hi = _src16(raw, opsel_hi & (1 << idx)) ^ (0x8000 if inst.neg_hi & (1 << idx) else 0)
lo = _src16(raw, opsel & (1 << idx)) ^ (0x8000 if neg & (1 << idx) else 0)
return (hi << 16) | lo
if is_src_16 and isinstance(inst, VOP3):
raw = st.rsrc_f16(src, lane, literal) if 128 <= src_off < 255 else st.rsrc(src, lane, literal)
val = _src16(raw, bool(opsel & (1 << idx)))
if abs_ & (1 << idx): val &= 0x7fff
if neg & (1 << idx): val ^= 0x8000
return val
if is_src_16 and isinstance(inst, (VOP1, VOP2, VOPC)):
if src_off >= 256: return _src16(_mod_src(st.rsrc(_vgpr_masked(src), lane, literal), idx, neg, abs_), _vgpr_hi(src))
return _mod_src(st.rsrc_f16(src, lane, literal), idx, neg, abs_) & 0xffff
return _mod_src(st.rsrc(src, lane, literal), idx, neg, abs_)
# Helper: get number of dwords from memory op name
def _op_ndwords(name: str) -> int:
if '_B128' in name: return 4
if '_B96' in name: return 3
if any(s in name for s in ('_B64', '_U64', '_I64', '_F64')): return 2
return 1
# Helper: build multi-dword int from consecutive VGPRs
def _vgpr_read(V: VGPRLane, reg, ndwords: int) -> int:
return sum(V[reg + i] << (32 * i) for i in range(ndwords))
# Helper: write multi-dword value to consecutive VGPRs
def _vgpr_write(V: VGPRLane, reg, val: int, ndwords: int):
for i in range(ndwords): V[reg + i] = (val >> (32 * i)) & MASK32
# Memory access
_valid_mem_ranges: list[tuple[int, int]] = []
def set_valid_mem_ranges(ranges: set[tuple[int, int]]) -> None: _valid_mem_ranges.clear(); _valid_mem_ranges.extend(ranges)
def _mem_valid(addr: int, size: int) -> bool:
return not _valid_mem_ranges or any(s <= addr and addr + size <= s + z for s, z in _valid_mem_ranges)
def _ctypes_at(addr: int, size: int): return (ctypes.c_uint8 if size == 1 else ctypes.c_uint16 if size == 2 else ctypes.c_uint64 if size == 8 else ctypes.c_uint32).from_address(addr)
def mem_read(addr: int, size: int) -> int: return _ctypes_at(addr, size).value if _mem_valid(addr, size) else 0
def mem_write(addr: int, size: int, val: int) -> None:
if _mem_valid(addr, size): _ctypes_at(addr, size).value = val
def _make_mem_accessor(read_fn, write_fn):
"""Create a memory accessor class with the given read/write functions."""
class _MemAccessor:
__slots__ = ('_addr',)
def __init__(self, addr: int): self._addr = int(addr)
u8 = property(lambda s: read_fn(s._addr, 1), lambda s, v: write_fn(s._addr, 1, int(v)))
u16 = property(lambda s: read_fn(s._addr, 2), lambda s, v: write_fn(s._addr, 2, int(v)))
u32 = property(lambda s: read_fn(s._addr, 4), lambda s, v: write_fn(s._addr, 4, int(v)))
u64 = property(lambda s: read_fn(s._addr, 8), lambda s, v: write_fn(s._addr, 8, int(v)))
i8 = property(lambda s: _sext(read_fn(s._addr, 1), 8), lambda s, v: write_fn(s._addr, 1, int(v)))
i16 = property(lambda s: _sext(read_fn(s._addr, 2), 16), lambda s, v: write_fn(s._addr, 2, int(v)))
i32 = property(lambda s: _sext(read_fn(s._addr, 4), 32), lambda s, v: write_fn(s._addr, 4, int(v)))
i64 = property(lambda s: _sext(read_fn(s._addr, 8), 64), lambda s, v: write_fn(s._addr, 8, int(v)))
b8, b16, b32, b64 = u8, u16, u32, u64
return _MemAccessor
_GlobalMemAccessor = _make_mem_accessor(mem_read, mem_write)
class _GlobalMem:
"""Global memory wrapper that supports MEM[addr].u32 style access."""
def __getitem__(self, addr) -> _GlobalMemAccessor: return _GlobalMemAccessor(addr)
GlobalMem = _GlobalMem()
class LDSMem:
"""LDS memory wrapper that supports MEM[addr].u32 style access."""
__slots__ = ('_lds',)
def __init__(self, lds: bytearray): self._lds = lds
def _read(self, addr: int, size: int) -> int:
addr = addr & 0xffff
return int.from_bytes(self._lds[addr:addr+size], 'little') if addr + size <= len(self._lds) else 0
def _write(self, addr: int, size: int, val: int):
addr = addr & 0xffff
if addr + size <= len(self._lds): self._lds[addr:addr+size] = (int(val) & ((1 << (size*8)) - 1)).to_bytes(size, 'little')
def __getitem__(self, addr): return _make_mem_accessor(self._read, self._write)(addr)
# SMEM dst register count (for writing result back to SGPRs)
SMEM_DST_COUNT = {SMEMOp.S_LOAD_B32: 1, SMEMOp.S_LOAD_B64: 2, SMEMOp.S_LOAD_B128: 4, SMEMOp.S_LOAD_B256: 8, SMEMOp.S_LOAD_B512: 16}
# VOPD op -> VOP3 op mapping (VOPD is dual-issue of VOP1/VOP2 ops, use VOP3 enums for pseudocode lookup)
_VOPD_TO_VOP = {
VOPDOp.V_DUAL_FMAC_F32: VOP3Op.V_FMAC_F32_E64, VOPDOp.V_DUAL_FMAAK_F32: VOP2Op.V_FMAAK_F32_E32, VOPDOp.V_DUAL_FMAMK_F32: VOP2Op.V_FMAMK_F32_E32,
VOPDOp.V_DUAL_MUL_F32: VOP3Op.V_MUL_F32_E64, VOPDOp.V_DUAL_ADD_F32: VOP3Op.V_ADD_F32_E64, VOPDOp.V_DUAL_SUB_F32: VOP3Op.V_SUB_F32_E64,
VOPDOp.V_DUAL_SUBREV_F32: VOP3Op.V_SUBREV_F32_E64, VOPDOp.V_DUAL_MUL_DX9_ZERO_F32: VOP3Op.V_MUL_DX9_ZERO_F32_E64,
VOPDOp.V_DUAL_MOV_B32: VOP3Op.V_MOV_B32_E64, VOPDOp.V_DUAL_CNDMASK_B32: VOP3Op.V_CNDMASK_B32_E64,
VOPDOp.V_DUAL_MAX_F32: VOP3Op.V_MAX_F32_E64, VOPDOp.V_DUAL_MIN_F32: VOP3Op.V_MIN_F32_E64,
VOPDOp.V_DUAL_ADD_NC_U32: VOP3Op.V_ADD_NC_U32_E64, VOPDOp.V_DUAL_LSHLREV_B32: VOP3Op.V_LSHLREV_B32_E64, VOPDOp.V_DUAL_AND_B32: VOP3Op.V_AND_B32_E64,
}
class WaveState:
__slots__ = ('sgpr', 'vgpr', 'scc', 'pc', '_pend_sgpr', 'lds', 'n_lanes')
def __init__(self, lds: LDSMem | None = None, n_lanes: int = WAVE_SIZE):
self.sgpr, self.vgpr = SGPRArray(SGPR_COUNT), [VGPRLane(VGPR_COUNT) for _ in range(WAVE_SIZE)]
self.sgpr[EXEC_LO], self.scc, self.pc, self._pend_sgpr, self.lds, self.n_lanes = 0xffffffff, 0, 0, {}, lds, n_lanes
@property
def vcc(self) -> int: return self.sgpr[VCC_LO] | (self.sgpr[VCC_HI] << 32)
@vcc.setter
def vcc(self, v: int): self.sgpr[VCC_LO], self.sgpr[VCC_HI] = v & MASK32, (v >> 32) & MASK32
@property
def exec_mask(self) -> int: return self.sgpr[EXEC_LO] | (self.sgpr[EXEC_HI] << 32)
@exec_mask.setter
def exec_mask(self, v: int): self.sgpr[EXEC_LO], self.sgpr[EXEC_HI] = v & MASK32, (v >> 32) & MASK32
def rsgpr(self, reg) -> int:
if reg == NULL: return 0
if reg == SCC: return self.scc
return self.sgpr[reg]
def wsgpr(self, reg, v: int):
if reg != NULL: self.sgpr[reg] = v & MASK32
def rsgpr64(self, reg) -> int:
off = reg.offset
return self.sgpr._data[off] | (self.sgpr._data[off + 1] << 32)
def wsgpr64(self, reg, v: int):
off = reg.offset
self.sgpr._data[off] = v & MASK32; self.sgpr._data[off + 1] = (v >> 32) & MASK32
def _rsrc_base(self, reg, lane: int, consts, literal: int):
off = reg.offset
if off < SGPR_COUNT: return self.sgpr._data[off]
if off == SCC.offset: return self.scc
if off < 255: return consts[off - 128]
if off == 255: return literal
return self.vgpr[lane]._data[off - 256] if off <= 511 else 0
def rsrc(self, reg, lane: int, literal: int = 0) -> int: return self._rsrc_base(reg, lane, _INLINE_CONSTS, literal)
def rsrc_f16(self, reg, lane: int, literal: int = 0) -> int: return self._rsrc_base(reg, lane, _INLINE_CONSTS_F16, literal)
def rsrc64(self, reg, lane: int, literal: int = 0) -> int:
off = reg.offset
if 128 <= off < 255: return _INLINE_CONSTS_F64[off - 128]
if off == 255: return literal << 32 # 32-bit literal forms upper 32 bits of 64-bit value
return self.rsrc(reg, lane, literal) | ((self.rsrc(reg + 1, lane, literal) if off < VCC_LO.offset or 256 <= off <= 511 else 0) << 32)
def pend_sgpr_lane(self, reg, lane: int, val: int):
if reg not in self._pend_sgpr: self._pend_sgpr[reg] = 0
if val: self._pend_sgpr[reg] |= (1 << lane)
def commit_pends(self):
for reg, val in self._pend_sgpr.items(): self.sgpr[reg] = val
self._pend_sgpr.clear()
# ═══════════════════════════════════════════════════════════════════════════════
# EXECUTION - All ops use pseudocode from PDF
# ═══════════════════════════════════════════════════════════════════════════════
def exec_scalar(st: WaveState, inst: Inst):
"""Execute scalar instruction. Returns 0 to continue execution."""
# Get op enum and lookup compiled function
if isinstance(inst, SMEM): ssrc0, sdst = None, None
elif isinstance(inst, SOP1): ssrc0, sdst = inst.ssrc0, inst.sdst
elif isinstance(inst, SOP2): ssrc0, sdst = inst.ssrc0, inst.sdst
elif isinstance(inst, SOPC): ssrc0, sdst = inst.ssrc0, None
elif isinstance(inst, SOPK): ssrc0, sdst = inst.sdst, inst.sdst # sdst is both src and dst
elif isinstance(inst, SOPP): ssrc0, sdst = None, None
else: raise NotImplementedError(f"Unknown scalar type {type(inst)}")
# SMEM: memory loads
if isinstance(inst, SMEM):
addr = st.rsgpr64(inst.sbase) + _sext(inst.offset, 21)
if inst.soffset != NULL: addr += st.rsrc(inst.soffset, 0, inst._literal)
result = inst._fn(GlobalMem, addr & MASK64)
if 'SDATA' in result:
sdata = result['SDATA']
for i in range(SMEM_DST_COUNT.get(inst.op, 1)): st.wsgpr(inst.sdata + i, (sdata >> (i * 32)) & MASK32)
st.pc += inst._words
return 0
# Build context - use canonical_op_bits to determine operand sizes
literal = inst._literal
s0 = st.rsrc64(ssrc0, 0, literal) if inst.canonical_op_bits['s0'] == 64 else (st.rsrc(ssrc0, 0, literal) if not isinstance(inst, (SOPK, SOPP)) else (st.rsgpr(inst.sdst) if isinstance(inst, SOPK) else 0))
s1 = st.rsrc64(inst.ssrc1, 0, literal) if inst.canonical_op_bits['s1'] == 64 else (st.rsrc(inst.ssrc1, 0, literal) if isinstance(inst, (SOP2, SOPC)) else inst.simm16 if isinstance(inst, SOPK) else 0)
d0 = st.rsgpr64(sdst) if inst.canonical_op_bits['d'] == 64 and sdst is not None else (st.rsgpr(sdst) if sdst is not None else 0)
literal = inst.simm16 if isinstance(inst, (SOPK, SOPP)) else inst._literal
# Call compiled function with int parameters
result = inst._fn(s0, s1, 0, d0, st.scc, st.vcc & MASK32, 0, st.exec_mask & MASK32, literal, None, pc=st.pc * 4)
# Apply results (already int values)
if sdst is not None and 'D0' in result:
(st.wsgpr64 if inst.canonical_op_bits['d'] == 64 else st.wsgpr)(sdst, result['D0'])
if 'SCC' in result: st.scc = result['SCC'] & 1
if 'EXEC' in result: st.exec_mask = result['EXEC']
if 'PC' in result:
# Convert absolute byte address to word offset
pc_val = result['PC']
new_pc = pc_val if pc_val < 0x8000000000000000 else pc_val - 0x10000000000000000
st.pc = new_pc // 4
else:
st.pc += inst._words
return 0
# ═══════════════════════════════════════════════════════════════════════════════
# VECTOR INSTRUCTIONS
# ═══════════════════════════════════════════════════════════════════════════════
def exec_vopd(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""VOPD: dual-issue, execute two ops simultaneously (read all inputs before writes)."""
literal, vdstx = inst._literal, inst.vdstx
vdsty = v[(inst.vdsty << 1) | ((inst.vdstx.offset & 1) ^ 1)] # vdsty is raw int from VDSTYField.decode
sx0, sx1, dx, sy0, sy1, dy = st.rsrc(inst.srcx0, lane, literal), V[inst.vsrcx1], V[vdstx], st.rsrc(inst.srcy0, lane, literal), V[inst.vsrcy1], V[vdsty]
V[vdstx] = inst._fnx(sx0, sx1, 0, dx, st.scc, st.vcc, lane, st.exec_mask, literal, None)['D0']
V[vdsty] = inst._fny(sy0, sy1, 0, dy, st.scc, st.vcc, lane, st.exec_mask, literal, None)['D0']
def exec_flat(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""FLAT/GLOBAL/SCRATCH memory ops."""
ndwords = _op_ndwords(inst.op_name)
addr = V[inst.addr] | (V[inst.addr + 1] << 32)
ADDR = (st.rsgpr64(inst.saddr) + V[inst.addr] + _sext(inst.offset, 13)) & MASK64 if inst.saddr != NULL else (addr + _sext(inst.offset, 13)) & MASK64
vdata_src = inst.vdst if 'LOAD' in inst.op_name else inst.data
result = inst._fn(GlobalMem, ADDR, _vgpr_read(V, vdata_src, ndwords), V[inst.vdst])
if 'VDATA' in result: _vgpr_write(V, inst.vdst, result['VDATA'], ndwords)
if 'RETURN_DATA' in result: _vgpr_write(V, inst.vdst, result['RETURN_DATA'], ndwords)
def exec_ds(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""DS (LDS) memory ops."""
ndwords = _op_ndwords(inst.op_name)
data0, data1 = _vgpr_read(V, inst.data0, ndwords), _vgpr_read(V, inst.data1, ndwords) if inst.data1 is not None else 0
result = inst._fn(st.lds, V[inst.addr], data0, data1, inst.offset0, inst.offset1)
if 'RETURN_DATA' in result and ('_RTN' in inst.op_name or '_LOAD' in inst.op_name):
_vgpr_write(V, inst.vdst, result['RETURN_DATA'], ndwords * 2 if '_2ADDR_' in inst.op_name else ndwords)
def exec_vop(st: WaveState, inst: Inst, V: VGPRLane, lane: int) -> None:
"""VOP1/VOP2/VOP3/VOP3SD/VOP3P/VOPC: standard ALU ops."""
is_dst_16 = inst.canonical_op_bits['d'] == 16
if isinstance(inst, VOP3P):
src0, src1, src2, vdst, dst_hi = inst.src0, inst.src1, inst.src2, inst.vdst, False
neg, abs_, opsel = inst.neg, 0, inst.opsel
elif isinstance(inst, VOP1):
src0, src1, src2, vdst = inst.src0, None, None, inst.vdst
neg, abs_, opsel, dst_hi = 0, 0, 0, (inst.vdst.offset & 0x80) != 0 and is_dst_16
if is_dst_16: vdst = v[inst.vdst.offset & 0x7f]
elif isinstance(inst, VOP2):
src0, src1, src2, vdst = inst.src0, inst.vsrc1, None, inst.vdst
neg, abs_, opsel, dst_hi = 0, 0, 0, (inst.vdst.offset & 0x80) != 0 and is_dst_16
if is_dst_16: vdst = v[inst.vdst.offset & 0x7f]
elif isinstance(inst, (VOP3, VOP3SD)):
src0, src1, src2, vdst = inst.src0, inst.src1, (None if isinstance(inst, VOP3) and inst.op.value < 256 else inst.src2), inst.vdst
neg, abs_, opsel, dst_hi = (inst.neg, inst.abs, inst.opsel, False) if isinstance(inst, VOP3) else (0, 0, 0, False)
elif isinstance(inst, VOPC):
src0, src1, src2, vdst, neg, abs_, opsel, dst_hi = inst.src0, inst.vsrc1, None, VCC_LO, 0, 0, 0, False
else:
raise NotImplementedError(f"exec_vop: unhandled instruction type {type(inst).__name__}")
s0 = _read_src(st, inst, src0, 0, lane, neg, abs_, opsel)
s1 = _read_src(st, inst, src1, 1, lane, neg, abs_, opsel)
s2 = _read_src(st, inst, src2, 2, lane, neg, abs_, opsel)
if isinstance(inst, VOP2) and is_dst_16: d0 = _src16(V[vdst], dst_hi)
elif inst.canonical_op_bits['d'] == 64: d0 = V[vdst] | (V[vdst + 1] << 32)
else: d0 = V[vdst]
if isinstance(inst, VOP3SD) and 'CO_CI' in inst.op_name: vcc_for_fn = st.rsgpr64(inst.src2)
elif isinstance(inst, VOP3) and inst.op in (VOP3Op.V_CNDMASK_B32_E64, VOP3Op.V_CNDMASK_B16) and src2 is not None and src2.offset < 256: vcc_for_fn = st.rsgpr64(src2)
else: vcc_for_fn = st.vcc
src0_off = src0.offset if src0 is not None else 0
src0_idx = (src0_off - 256) if src0_off >= 256 else src0_off
vdst_off = vdst.offset
extra_kwargs = {'opsel': opsel, 'opsel_hi': inst.opsel_hi | (inst.opsel_hi2 << 2)} if isinstance(inst, VOP3P) and 'FMA_MIX' in inst.op_name else {}
result = inst._fn(s0, s1, s2, d0, st.scc, vcc_for_fn, lane, st.exec_mask, inst._literal, st.vgpr, src0_idx, vdst_off, **extra_kwargs)
# Check if this is a VOPC instruction (either standalone VOPC or VOP3 with VOPC opcode)
is_vopc = isinstance(inst.op, VOPCOp) or (isinstance(inst, VOP3) and inst.op.value < 256)
if 'VCC' in result:
if isinstance(inst, VOP3SD): st.pend_sgpr_lane(inst.sdst, lane, (result['VCC'] >> lane) & 1)
elif isinstance(inst, VOP2) and 'CO_CI' in inst.op_name: st.pend_sgpr_lane(VCC_LO, lane, (result['VCC'] >> lane) & 1)
elif is_vopc: st.pend_sgpr_lane(vdst, lane, (result['VCC'] >> lane) & 1) # vdst is VCC_LO for VOPC
else: st.pend_sgpr_lane(VCC_LO, lane, (result['VCC'] >> lane) & 1)
if 'EXEC' in result:
st.pend_sgpr_lane(EXEC_LO, lane, (result['EXEC'] >> lane) & 1)
elif is_vopc:
st.pend_sgpr_lane(vdst, lane, (result['D0'] >> lane) & 1)
if not is_vopc:
d0_val = result['D0']
if inst.canonical_op_bits['d'] == 64: V[vdst], V[vdst + 1] = d0_val & MASK32, (d0_val >> 32) & MASK32
elif not isinstance(inst, VOP3P) and is_dst_16: V[vdst] = _dst16(V[vdst], d0_val, bool(opsel & 8) if isinstance(inst, VOP3) else dst_hi)
else: V[vdst] = d0_val & MASK32
# ═══════════════════════════════════════════════════════════════════════════════
# WMMA (Wave Matrix Multiply-Accumulate)
# ═══════════════════════════════════════════════════════════════════════════════
def exec_wmma(st: WaveState, inst, op: VOP3POp) -> None:
"""Execute WMMA instruction - 16x16x16 matrix multiply across the wave."""
src0, src1, src2, vdst = inst.src0.offset, inst.src1.offset, inst.src2.offset, inst.vdst.offset
# Read 16x16 f16 matrix from 16 lanes × 8 VGPRs (2 f16 per VGPR)
def read_f16_mat(src):
return [f for l in range(16) for r in range(8) for v in [st.vgpr[l][src-256+r] if src >= 256 else st.rsgpr(src+r)] for f in [_f16(v&0xffff), _f16((v>>16)&0xffff)]]
mat_a, mat_b = read_f16_mat(src0), read_f16_mat(src1)
# Read matrix C (16x16 f32) from lanes 0-31, VGPRs src2 to src2+7
mat_c = [_f32(st.vgpr[i % 32][src2 - 256 + i // 32] if src2 >= 256 else st.rsgpr(src2 + i // 32)) for i in range(256)]
# Compute D = A × B + C (16x16 matrix multiply)
mat_d = [sum(mat_a[row*16+k] * mat_b[col*16+k] for k in range(16)) + mat_c[row*16+col] for row in range(16) for col in range(16)]
# Write result - f16 packed or f32
if op == VOP3POp.V_WMMA_F16_16X16X16_F16:
for i in range(0, 256, 2):
st.vgpr[(i//2) % 32][vdst - 256 + (i//2)//32] = ((_i16(mat_d[i+1]) & 0xffff) << 16) | (_i16(mat_d[i]) & 0xffff)
else:
for i in range(256): st.vgpr[i % 32][vdst - 256 + i//32] = _i32(mat_d[i])
# ═══════════════════════════════════════════════════════════════════════════════
# PROGRAM DECODE
# ═══════════════════════════════════════════════════════════════════════════════
# Wave-level dispatch functions: (st, inst) -> return_code (0 = continue, -1 = end, -2 = barrier)
def dispatch_endpgm(st, inst): return -1
def dispatch_barrier(st, inst): st.pc += inst._words; return -2
def dispatch_nop(st, inst): st.pc += inst._words; return 0
def dispatch_wmma(st, inst): exec_wmma(st, inst, inst.op); st.pc += inst._words; return 0
def dispatch_writelane(st, inst): st.vgpr[st.rsrc(inst.src1, 0, inst._literal) & 0x1f][inst.vdst.offset - 256] = st.rsrc(inst.src0, 0, inst._literal) & MASK32; st.pc += inst._words; return 0
def dispatch_readlane(st, inst):
src0_off = inst.src0.offset
src0_idx = (src0_off - 256) if src0_off >= 256 else src0_off
s1 = st.rsrc(inst.src1, 0, inst._literal) if getattr(inst, 'src1', None) is not None else 0
result = inst._fn(0, s1, 0, 0, st.scc, st.vcc, 0, st.exec_mask, inst._literal, st.vgpr, src0_idx, inst.vdst.offset)
st.wsgpr(inst.vdst.offset, result['D0'])
st.pc += inst._words; return 0
# Per-lane dispatch wrapper: wraps per-lane exec functions into wave-level dispatch
@functools.cache
def dispatch_lane(exec_fn):
def dispatch(st, inst):
exec_mask, vgpr, n_lanes = st.exec_mask, st.vgpr, st.n_lanes
for lane in range(n_lanes):
if exec_mask >> lane & 1: exec_fn(st, inst, vgpr[lane], lane)
st.commit_pends()
st.pc += inst._words
return 0
return dispatch
def decode_program(data: bytes) -> dict[int, Inst]:
result: dict[int, Inst] = {}
i = 0
while i < len(data):
inst = decode_inst(data[i:])
inst._words = inst.size() // 4
# Determine dispatch function and pcode function
if isinstance(inst, SOPP) and inst.op == SOPPOp.S_CODE_END: break
elif isinstance(inst, SOPP) and inst.op == SOPPOp.S_ENDPGM: inst._dispatch = dispatch_endpgm
elif isinstance(inst, SOPP) and inst.op == SOPPOp.S_BARRIER: inst._dispatch = dispatch_barrier
elif isinstance(inst, SOPP) and inst.op in (SOPPOp.S_CLAUSE, SOPPOp.S_WAITCNT, SOPPOp.S_WAITCNT_DEPCTR, SOPPOp.S_SENDMSG, SOPPOp.S_SET_INST_PREFETCH_DISTANCE, SOPPOp.S_DELAY_ALU): inst._dispatch = dispatch_nop
elif isinstance(inst, (SOP1, SOP2, SOPC, SOPK, SOPP, SMEM)): inst._dispatch = exec_scalar
elif isinstance(inst, VOP1) and inst.op == VOP1Op.V_NOP_E32: inst._dispatch = dispatch_nop
elif isinstance(inst, VOP3P) and 'WMMA' in inst.op_name: inst._dispatch = dispatch_wmma
elif isinstance(inst, VOP3) and inst.op == VOP3Op.V_WRITELANE_B32: inst._dispatch = dispatch_writelane
elif isinstance(inst, (VOP1, VOP3)) and inst.op in (VOP1Op.V_READFIRSTLANE_B32_E32, VOP3Op.V_READFIRSTLANE_B32, VOP3Op.V_READLANE_B32): inst._dispatch = dispatch_readlane
elif isinstance(inst, VOPD): inst._dispatch = dispatch_lane(exec_vopd)
elif isinstance(inst, FLAT): inst._dispatch = dispatch_lane(exec_flat)
elif isinstance(inst, DS): inst._dispatch = dispatch_lane(exec_ds)
else: inst._dispatch = dispatch_lane(exec_vop)
# Compile pcode for instructions that use it (not VOPD which has _fnx/_fny, not special dispatches)
# VOPD needs separate functions for X and Y ops
if isinstance(inst, VOPD):
def _compile_vopd_op(op): return compile_pseudocode(type(op).__name__, op.name, PCODE[op])
inst._fnx, inst._fny = _compile_vopd_op(_VOPD_TO_VOP[inst.opx]), _compile_vopd_op(_VOPD_TO_VOP[inst.opy])
elif inst._dispatch not in (dispatch_endpgm, dispatch_barrier, dispatch_nop, dispatch_wmma, dispatch_writelane):
assert type(inst.op) != int, f"inst op of {inst} is int"
inst._fn = compile_pseudocode(type(inst.op).__name__, inst.op.name, PCODE[inst.op])
result[i // 4] = inst
i += inst._words * 4
return result
# ═══════════════════════════════════════════════════════════════════════════════
# MAIN EXECUTION LOOP
# ═══════════════════════════════════════════════════════════════════════════════
def exec_wave(program: dict[int, Inst], st: WaveState) -> int:
while (inst := program.get(st.pc)) and (result := inst._dispatch(st, inst)) == 0: pass
return result
def exec_workgroup(program: dict[int, Inst], workgroup_id: tuple[int, int, int], local_size: tuple[int, int, int], args_ptr: int, rsrc2: int) -> None:
lx, ly, lz = local_size
total_threads = lx * ly * lz
# GRANULATED_LDS_SIZE is in 512-byte units (see ops_amd.py: lds_size = ((group_segment_size + 511) // 512))
lds_size = ((rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_GRANULATED_LDS_SIZE) >> hsa.AMD_COMPUTE_PGM_RSRC_TWO_GRANULATED_LDS_SIZE_SHIFT) * 512
lds = LDSMem(bytearray(lds_size)) if lds_size else None
waves: list[WaveState] = []
for wave_start in range(0, total_threads, WAVE_SIZE):
n_lanes = min(WAVE_SIZE, total_threads - wave_start)
st = WaveState(lds, n_lanes)
st.exec_mask = (1 << n_lanes) - 1
st.wsgpr64(s[0:1], args_ptr) # s[0:1] = kernel arguments pointer
# COMPUTE_PGM_RSRC2: USER_SGPR_COUNT is where workgroup IDs start, ENABLE_SGPR_WORKGROUP_ID_X/Y/Z control which are passed
sgpr_idx = (rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_USER_SGPR_COUNT) >> hsa.AMD_COMPUTE_PGM_RSRC_TWO_USER_SGPR_COUNT_SHIFT
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_X: st.sgpr[sgpr_idx] = workgroup_id[0]; sgpr_idx += 1
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_Y: st.sgpr[sgpr_idx] = workgroup_id[1]; sgpr_idx += 1
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_Z: st.sgpr[sgpr_idx] = workgroup_id[2]
# VGPR0 = packed workitem IDs: (Z << 20) | (Y << 10) | X
for tid in range(wave_start, wave_start + n_lanes):
st.vgpr[tid - wave_start][0] = ((tid // (lx * ly)) << 20) | (((tid // lx) % ly) << 10) | (tid % lx)
waves.append(st)
while waves:
waves = [st for st in waves if exec_wave(program, st) != -1]
def run_asm(lib: int, lib_sz: int, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, args_ptr: int, rsrc2: int = 0x19c) -> int:
program = decode_program((ctypes.c_char * lib_sz).from_address(lib).raw)
for gidz in range(gz):
for gidy in range(gy):
for gidx in range(gx): exec_workgroup(program, (gidx, gidy, gidz), (lx, ly, lz), args_ptr, rsrc2)
return 0
+822
View File
@@ -0,0 +1,822 @@
# DSL for RDNA3 pseudocode - makes pseudocode expressions work directly as Python
import struct, math, re, functools
MASK32, MASK64 = 0xFFFFFFFF, 0xFFFFFFFFFFFFFFFF
# Float/int bit conversion functions
_struct_f, _struct_I = struct.Struct("<f"), struct.Struct("<I")
_struct_e, _struct_H = struct.Struct("<e"), struct.Struct("<H")
_struct_d, _struct_Q = struct.Struct("<d"), struct.Struct("<Q")
def _f32(i):
i = i & MASK32
# RDNA3 default mode: flush f32 denormals to zero (FTZ)
# Denormal: exponent=0 (bits 23-30) and mantissa!=0 (bits 0-22)
if (i & 0x7f800000) == 0 and (i & 0x007fffff) != 0: return 0.0
return _struct_f.unpack(_struct_I.pack(i))[0]
def _i32(f):
if isinstance(f, int): f = float(f)
if math.isnan(f): return 0xffc00000 if math.copysign(1.0, f) < 0 else 0x7fc00000
if math.isinf(f): return 0x7f800000 if f > 0 else 0xff800000
try:
bits = _struct_I.unpack(_struct_f.pack(f))[0]
# RDNA3 default mode: flush f32 denormals to zero (FTZ)
if (bits & 0x7f800000) == 0 and (bits & 0x007fffff) != 0: return 0x80000000 if bits & 0x80000000 else 0
return bits
except (OverflowError, struct.error): return 0x7f800000 if f > 0 else 0xff800000
def _sext(v, b): return v - (1 << b) if v & (1 << (b - 1)) else v
def _f16(i): return _struct_e.unpack(_struct_H.pack(i & 0xffff))[0]
def _i16(f):
if math.isnan(f): return 0x7e00
if math.isinf(f): return 0x7c00 if f > 0 else 0xfc00
try: return _struct_H.unpack(_struct_e.pack(f))[0]
except (OverflowError, struct.error): return 0x7c00 if f > 0 else 0xfc00
def _f64(i): return _struct_d.unpack(_struct_Q.pack(i & MASK64))[0]
def _i64(f):
if math.isnan(f): return 0x7ff8000000000000
if math.isinf(f): return 0x7ff0000000000000 if f > 0 else 0xfff0000000000000
try: return _struct_Q.unpack(_struct_d.pack(f))[0]
except (OverflowError, struct.error): return 0x7ff0000000000000 if f > 0 else 0xfff0000000000000
# ═══════════════════════════════════════════════════════════════════════════════
# INTERNAL HELPERS
# ═══════════════════════════════════════════════════════════════════════════════
def _div(a, b):
try: return a / b
except ZeroDivisionError:
if a == 0.0 or math.isnan(a): return float("nan")
return math.copysign(float("inf"), a * b) if b == 0.0 else float("inf") if a > 0 else float("-inf")
def _check_nan_type(x, quiet_bit_expected, default):
try:
if not math.isnan(float(x)): return False
if hasattr(x, '_reg') and hasattr(x, '_bits'):
bits = x._reg._val & ((1 << x._bits) - 1)
exp_bits, quiet_pos, mant_mask = {16: (0x1f, 9, 0x3ff), 32: (0xff, 22, 0x7fffff), 64: (0x7ff, 51, 0xfffffffffffff)}.get(x._bits, (0,0,0))
exp_shift = {16: 10, 32: 23, 64: 52}.get(x._bits, 0)
if exp_bits and ((bits >> exp_shift) & exp_bits) == exp_bits and (bits & mant_mask) != 0:
return ((bits >> quiet_pos) & 1) == quiet_bit_expected
return default
except (TypeError, ValueError): return False
def _gt_neg_zero(a, b): return (a > b) or (a == 0 and b == 0 and not math.copysign(1, a) < 0 and math.copysign(1, b) < 0)
def _lt_neg_zero(a, b): return (a < b) or (a == 0 and b == 0 and math.copysign(1, a) < 0 and not math.copysign(1, b) < 0)
def _fpop(fn):
def wrapper(x):
x = float(x)
if math.isnan(x) or math.isinf(x): return x
result = float(fn(x))
return math.copysign(0.0, x) if result == 0.0 else result
return wrapper
def _f_to_int(f, lo, hi): f = float(f); return 0 if math.isnan(f) else (hi if f >= hi else lo if f <= lo else int(f))
def _f16_to_f32_bits(bits): return struct.unpack("<e", struct.pack("<H", int(bits) & 0xffff))[0]
def _brev(v, bits): return int(bin(v & ((1 << bits) - 1))[2:].zfill(bits)[::-1], 2)
def _ctz(v, bits):
v, n = int(v) & ((1 << bits) - 1), 0
if v == 0: return bits
while (v & 1) == 0: v >>= 1; n += 1
return n
def _bf16(i):
"""Convert bf16 bits to float. BF16 is just the top 16 bits of f32."""
return struct.unpack("<f", struct.pack("<I", (i & 0xffff) << 16))[0]
def _ibf16(f):
"""Convert float to bf16 bits (truncate to top 16 bits of f32)."""
if math.isnan(f): return 0x7fc0 # bf16 quiet NaN
if math.isinf(f): return 0x7f80 if f > 0 else 0xff80 # bf16 ±infinity
try: return (struct.unpack("<I", struct.pack("<f", float(f)))[0] >> 16) & 0xffff
except (OverflowError, struct.error): return 0x7f80 if f > 0 else 0xff80
def _trig(fn, x):
# V_SIN/COS_F32: hardware does frac on input cycles before computing
if math.isinf(x) or math.isnan(x): return float("nan")
frac_cycles = fract(x / (2 * math.pi))
result = fn(frac_cycles * 2 * math.pi)
# Hardware returns exactly 0 for cos(π/2), sin(π), etc. due to lookup table
# Round very small results (below f32 precision) to exactly 0
if abs(result) < 1e-7: return 0.0
return result
class _SafeFloat(float):
"""Float subclass that uses _div for division to handle 0/inf correctly."""
def __truediv__(self, o): return _div(float(self), float(o))
def __rtruediv__(self, o): return _div(float(o), float(self))
class _Inf:
f16 = f32 = f64 = float('inf')
def __neg__(self): return _NegInf()
def __pos__(self): return self
def __float__(self): return float('inf')
def __eq__(self, other): return float(other) == float('inf') if not isinstance(other, _NegInf) else False
def __req__(self, other): return self.__eq__(other)
class _NegInf:
f16 = f32 = f64 = float('-inf')
def __neg__(self): return _Inf()
def __pos__(self): return self
def __float__(self): return float('-inf')
def __eq__(self, other): return float(other) == float('-inf') if not isinstance(other, _Inf) else False
def __req__(self, other): return self.__eq__(other)
class _RoundMode:
NEAREST_EVEN = 0
class _WaveMode:
IEEE = False
class _DenormChecker:
"""Comparator for denormalized floats. x == DENORM.f32 checks if x is denormalized."""
def __init__(self, bits): self._bits = bits
def _check(self, other):
f = float(other)
if math.isinf(f) or math.isnan(f) or f == 0.0: return False
if self._bits == 64:
bits = struct.unpack("<Q", struct.pack("<d", f))[0]
return (bits >> 52) & 0x7ff == 0
bits = struct.unpack("<I", struct.pack("<f", f))[0]
return (bits >> 23) & 0xff == 0
def __eq__(self, other): return self._check(other)
def __req__(self, other): return self._check(other)
def __ne__(self, other): return not self._check(other)
class _Denorm:
f32 = _DenormChecker(32)
f64 = _DenormChecker(64)
_pack = lambda hi, lo: ((int(hi) & 0xffff) << 16) | (int(lo) & 0xffff)
_pack32 = lambda hi, lo: ((int(hi) & 0xffffffff) << 32) | (int(lo) & 0xffffffff)
class TypedView:
"""View into a Reg with typed access. Used for both full-width (Reg.u32) and slices (Reg[31:16])."""
__slots__ = ('_reg', '_high', '_low', '_signed', '_float', '_bf16', '_reversed')
def __init__(self, reg, high, low=0, signed=False, is_float=False, is_bf16=False):
# Handle reversed slices like [0:31] which means bit-reverse
if high < low: high, low, reversed = low, high, True
else: reversed = False
self._reg, self._high, self._low, self._reversed = reg, high, low, reversed
self._signed, self._float, self._bf16 = signed, is_float, is_bf16
def _nbits(self): return self._high - self._low + 1
def _mask(self): return (1 << self._nbits()) - 1
def _get(self):
v = (self._reg._val >> self._low) & self._mask()
return _brev(v, self._nbits()) if self._reversed else v
def _set(self, v):
v = int(v)
if self._reversed: v = _brev(v, self._nbits())
self._reg._val = (self._reg._val & ~(self._mask() << self._low)) | ((v & self._mask()) << self._low)
@property
def _val(self): return self._get()
@property
def _bits(self): return self._nbits()
# Type accessors for slices (e.g., D0[31:16].f16)
u8 = property(lambda s: s._get() & 0xff)
u16 = property(lambda s: s._get() & 0xffff, lambda s, v: s._set(v))
u32 = property(lambda s: s._get() & MASK32, lambda s, v: s._set(v))
i16 = property(lambda s: _sext(s._get() & 0xffff, 16), lambda s, v: s._set(v))
i32 = property(lambda s: _sext(s._get() & MASK32, 32), lambda s, v: s._set(v))
f16 = property(lambda s: _f16(s._get()), lambda s, v: s._set(v if isinstance(v, int) else _i16(float(v))))
f32 = property(lambda s: _f32(s._get()), lambda s, v: s._set(_i32(float(v))))
bf16 = property(lambda s: _bf16(s._get()), lambda s, v: s._set(v if isinstance(v, int) else _ibf16(float(v))))
b16, b32 = u16, u32
# Chained type access (e.g., jump_addr.i64 when jump_addr is already TypedView)
@property
def i64(s): return s if s._nbits() == 64 and s._signed else int(s)
@property
def u64(s): return s if s._nbits() == 64 and not s._signed else int(s) & MASK64
def __getitem__(self, key):
if isinstance(key, slice):
high, low = int(key.start), int(key.stop)
return TypedView(self._reg, high, low)
return (self._get() >> int(key)) & 1
def __setitem__(self, key, value):
if isinstance(key, slice):
high, low = int(key.start), int(key.stop)
if high < low: high, low, value = low, high, _brev(int(value), low - high + 1)
mask = (1 << (high - low + 1)) - 1
self._reg._val = (self._reg._val & ~(mask << low)) | ((int(value) & mask) << low)
elif value: self._reg._val |= (1 << int(key))
else: self._reg._val &= ~(1 << int(key))
def __int__(self): return _sext(self._get(), self._nbits()) if self._signed else self._get()
def __index__(self): return int(self)
def __trunc__(self): return int(float(self)) if self._float else int(self)
def __float__(self):
if self._float:
if self._bf16: return _bf16(self._get())
bits = self._nbits()
return _f16(self._get()) if bits == 16 else _f32(self._get()) if bits == 32 else _f64(self._get())
return float(int(self))
def __bool__(s): return bool(int(s))
# Arithmetic - floats use float(), ints use int()
def __add__(s, o): return float(s) + float(o) if s._float else int(s) + int(o)
def __radd__(s, o): return float(o) + float(s) if s._float else int(o) + int(s)
def __sub__(s, o): return float(s) - float(o) if s._float else int(s) - int(o)
def __rsub__(s, o): return float(o) - float(s) if s._float else int(o) - int(s)
def __mul__(s, o): return float(s) * float(o) if s._float else int(s) * int(o)
def __rmul__(s, o): return float(o) * float(s) if s._float else int(o) * int(s)
def __truediv__(s, o): return _div(float(s), float(o)) if s._float else _div(int(s), int(o))
def __rtruediv__(s, o): return _div(float(o), float(s)) if s._float else _div(int(o), int(s))
def __pow__(s, o): return float(s) ** float(o) if s._float else int(s) ** int(o)
def __rpow__(s, o): return float(o) ** float(s) if s._float else int(o) ** int(s)
def __neg__(s): return -float(s) if s._float else -int(s)
def __abs__(s): return abs(float(s)) if s._float else abs(int(s))
# Bitwise - GPU shifts mask the shift amount to valid range
def __and__(s, o): return int(s) & int(o)
def __or__(s, o): return int(s) | int(o)
def __xor__(s, o): return int(s) ^ int(o)
def __invert__(s): return ~int(s)
def __lshift__(s, o): n = int(o); return int(s) << n if 0 <= n < 64 or s._nbits() > 64 else 0
def __rshift__(s, o): n = int(o); return int(s) >> n if 0 <= n < 64 or s._nbits() > 64 else 0
def __rand__(s, o): return int(o) & int(s)
def __ror__(s, o): return int(o) | int(s)
def __rxor__(s, o): return int(o) ^ int(s)
def __rlshift__(s, o): n = int(s); return int(o) << n if 0 <= n < 64 else 0
def __rrshift__(s, o): n = int(s); return int(o) >> n if 0 <= n < 64 else 0
# Comparison - handle _DenormChecker specially
def __eq__(s, o):
if isinstance(o, _DenormChecker): return o._check(s)
return float(s) == float(o) if s._float else int(s) == int(o)
def __ne__(s, o):
if isinstance(o, _DenormChecker): return not o._check(s)
return float(s) != float(o) if s._float else int(s) != int(o)
def __lt__(s, o): return float(s) < float(o) if s._float else int(s) < int(o)
def __le__(s, o): return float(s) <= float(o) if s._float else int(s) <= int(o)
def __gt__(s, o): return float(s) > float(o) if s._float else int(s) > int(o)
def __ge__(s, o): return float(s) >= float(o) if s._float else int(s) >= int(o)
class Reg:
"""GPU register: D0.f32 = S0.f32 + S1.f32 just works. Supports up to 128 bits for DS_LOAD_B128."""
__slots__ = ('_val',)
def __init__(self, val=0): self._val = int(val)
# Typed views - TypedView(reg, high, signed, is_float, is_bf16)
u64 = property(lambda s: TypedView(s, 63), lambda s, v: setattr(s, '_val', int(v) & MASK64))
i64 = property(lambda s: TypedView(s, 63, signed=True), lambda s, v: setattr(s, '_val', int(v) & MASK64))
b64 = property(lambda s: TypedView(s, 63), lambda s, v: setattr(s, '_val', int(v) & MASK64))
f64 = property(lambda s: TypedView(s, 63, is_float=True), lambda s, v: setattr(s, '_val', v if isinstance(v, int) else _i64(float(v))))
u32 = property(lambda s: TypedView(s, 31), lambda s, v: setattr(s, '_val', int(v) & MASK32))
i32 = property(lambda s: TypedView(s, 31, signed=True), lambda s, v: setattr(s, '_val', int(v) & MASK32))
b32 = property(lambda s: TypedView(s, 31), lambda s, v: setattr(s, '_val', int(v) & MASK32))
f32 = property(lambda s: TypedView(s, 31, is_float=True), lambda s, v: setattr(s, '_val', _i32(float(v))))
u24 = property(lambda s: TypedView(s, 23))
i24 = property(lambda s: TypedView(s, 23, signed=True))
u16 = property(lambda s: TypedView(s, 15), lambda s, v: setattr(s, '_val', (s._val & 0xffff0000) | (int(v) & 0xffff)))
i16 = property(lambda s: TypedView(s, 15, signed=True), lambda s, v: setattr(s, '_val', (s._val & 0xffff0000) | (int(v) & 0xffff)))
b16 = property(lambda s: TypedView(s, 15), lambda s, v: setattr(s, '_val', (s._val & 0xffff0000) | (int(v) & 0xffff)))
f16 = property(lambda s: TypedView(s, 15, is_float=True), lambda s, v: setattr(s, '_val', (s._val & 0xffff0000) | ((v if isinstance(v, int) else _i16(float(v))) & 0xffff)))
bf16 = property(lambda s: TypedView(s, 15, is_float=True, is_bf16=True), lambda s, v: setattr(s, '_val', (s._val & 0xffff0000) | ((v if isinstance(v, int) else _ibf16(float(v))) & 0xffff)))
u8 = property(lambda s: TypedView(s, 7))
i8 = property(lambda s: TypedView(s, 7, signed=True))
u3 = property(lambda s: TypedView(s, 2)) # 3-bit for opsel fields
u1 = property(lambda s: TypedView(s, 0)) # single bit
def __getitem__(s, key):
if isinstance(key, slice): return TypedView(s, int(key.start), int(key.stop))
return (s._val >> int(key)) & 1
def __setitem__(s, key, value):
if isinstance(key, slice):
high, low = int(key.start), int(key.stop)
if high < low: high, low = low, high
mask = (1 << (high - low + 1)) - 1
s._val = (s._val & ~(mask << low)) | ((int(value) & mask) << low)
elif value: s._val |= (1 << int(key))
else: s._val &= ~(1 << int(key))
def __int__(s): return s._val
def __index__(s): return s._val
def __bool__(s): return bool(s._val)
# Arithmetic (for tmp = tmp + 1 patterns). Float operands trigger f32 interpretation.
def __add__(s, o): return (_f32(s._val) + float(o)) if isinstance(o, float) else s._val + int(o)
def __radd__(s, o): return (float(o) + _f32(s._val)) if isinstance(o, float) else int(o) + s._val
def __sub__(s, o): return (_f32(s._val) - float(o)) if isinstance(o, float) else s._val - int(o)
def __rsub__(s, o): return (float(o) - _f32(s._val)) if isinstance(o, float) else int(o) - s._val
def __mul__(s, o): return (_f32(s._val) * float(o)) if isinstance(o, float) else s._val * int(o)
def __rmul__(s, o): return (float(o) * _f32(s._val)) if isinstance(o, float) else int(o) * s._val
def __and__(s, o): return s._val & int(o)
def __rand__(s, o): return int(o) & s._val
def __or__(s, o): return s._val | int(o)
def __ror__(s, o): return int(o) | s._val
def __xor__(s, o): return s._val ^ int(o)
def __rxor__(s, o): return int(o) ^ s._val
def __lshift__(s, o): n = int(o); return s._val << n if 0 <= n < 64 else 0
def __rshift__(s, o): n = int(o); return s._val >> n if 0 <= n < 64 else 0
def __invert__(s): return ~s._val
# Comparison (for tmp >= 0x100000000 patterns)
def __lt__(s, o): return s._val < int(o)
def __le__(s, o): return s._val <= int(o)
def __gt__(s, o): return s._val > int(o)
def __ge__(s, o): return s._val >= int(o)
def __eq__(s, o): return s._val == int(o)
def __ne__(s, o): return s._val != int(o)
# ═══════════════════════════════════════════════════════════════════════════════
# PSEUDOCODE API - Functions and constants from AMD ISA pseudocode
# ═══════════════════════════════════════════════════════════════════════════════
# Rounding and float operations
trunc, floor, ceil = _fpop(math.trunc), _fpop(math.floor), _fpop(math.ceil)
def sqrt(x): return _SafeFloat(math.sqrt(x)) if x >= 0 else _SafeFloat(float("nan"))
def log2(x): return math.log2(x) if x > 0 else (float("-inf") if x == 0 else float("nan"))
def fract(x): return x - math.floor(x)
def sin(x): return _trig(math.sin, x)
def cos(x): return _trig(math.cos, x)
def pow(a, b):
try: return a ** b
except OverflowError: return float("inf") if b > 0 else 0.0
def isEven(x):
x = float(x)
if math.isinf(x) or math.isnan(x): return False
return int(x) % 2 == 0
def mantissa(f):
if f == 0.0 or math.isinf(f) or math.isnan(f): return f
m, _ = math.frexp(f)
return m # AMD V_FREXP_MANT returns mantissa in [0.5, 1.0) range
def signext_from_bit(val, bit):
bit = int(bit)
if bit == 0: return 0
mask = (1 << bit) - 1
val = int(val) & mask
if val & (1 << (bit - 1)): return val - (1 << bit)
return val
# Type conversions
i32_to_f32 = u32_to_f32 = i32_to_f64 = u32_to_f64 = f32_to_f64 = f64_to_f32 = float
def f32_to_i32(f): return _f_to_int(f, -2147483648, 2147483647)
def f32_to_u32(f): return _f_to_int(f, 0, 4294967295)
f64_to_i32, f64_to_u32 = f32_to_i32, f32_to_u32
def f32_to_f16(f):
f = float(f)
if math.isnan(f): return 0x7e00 # f16 NaN
if math.isinf(f): return 0x7c00 if f > 0 else 0xfc00 # f16 ±infinity
try: return struct.unpack("<H", struct.pack("<e", f))[0]
except OverflowError: return 0x7c00 if f > 0 else 0xfc00 # overflow -> ±infinity
def f16_to_f32(v): return v if isinstance(v, float) else _f16_to_f32_bits(v)
def i16_to_f16(v): return f32_to_f16(float(_sext(int(v) & 0xffff, 16)))
def u16_to_f16(v): return f32_to_f16(float(int(v) & 0xffff))
def f16_to_i16(bits): f = _f16_to_f32_bits(bits); return max(-32768, min(32767, int(f))) if not math.isnan(f) else 0
def f16_to_u16(bits): f = _f16_to_f32_bits(bits); return max(0, min(65535, int(f))) if not math.isnan(f) else 0
def bf16_to_f32(v): return _bf16(v) if isinstance(v, int) else float(v)
def f32_to_bf16(f): return _ibf16(f)
def u8_to_u32(v): return int(v) & 0xff
def u4_to_u32(v): return int(v) & 0xf
def u32_to_u16(u): return int(u) & 0xffff
def i32_to_i16(i): return ((int(i) + 32768) & 0xffff) - 32768
def f16_to_snorm(f): return max(-32768, min(32767, int(round(max(-1.0, min(1.0, f)) * 32767))))
def f16_to_unorm(f): return max(0, min(65535, int(round(max(0.0, min(1.0, f)) * 65535))))
def f32_to_snorm(f): return max(-32768, min(32767, int(round(max(-1.0, min(1.0, f)) * 32767))))
def f32_to_unorm(f): return max(0, min(65535, int(round(max(0.0, min(1.0, f)) * 65535))))
def v_cvt_i16_f32(f): return max(-32768, min(32767, int(f))) if not math.isnan(f) else 0
def v_cvt_u16_f32(f): return max(0, min(65535, int(f))) if not math.isnan(f) else 0
def SAT8(v): return max(0, min(255, int(v)))
def f32_to_u8(f): return max(0, min(255, int(f))) if not math.isnan(f) else 0
# Min/max operations
def v_min_f32(a, b): return a if math.isnan(b) else b if math.isnan(a) else (a if _lt_neg_zero(a, b) else b)
def v_max_f32(a, b): return a if math.isnan(b) else b if math.isnan(a) else (a if _gt_neg_zero(a, b) else b)
v_min_f16, v_max_f16 = v_min_f32, v_max_f32
v_min_i32, v_max_i32 = min, max
v_min_i16, v_max_i16 = min, max
def v_min_u32(a, b): return min(a & MASK32, b & MASK32)
def v_max_u32(a, b): return max(a & MASK32, b & MASK32)
def v_min_u16(a, b): return min(a & 0xffff, b & 0xffff)
def v_max_u16(a, b): return max(a & 0xffff, b & 0xffff)
def v_min3_f32(a, b, c): return v_min_f32(v_min_f32(a, b), c)
def v_max3_f32(a, b, c): return v_max_f32(v_max_f32(a, b), c)
v_min3_f16, v_max3_f16 = v_min3_f32, v_max3_f32
v_min3_i32, v_max3_i32, v_min3_i16, v_max3_i16 = min, max, min, max
def v_min3_u32(a, b, c): return min(a & MASK32, b & MASK32, c & MASK32)
def v_max3_u32(a, b, c): return max(a & MASK32, b & MASK32, c & MASK32)
def v_min3_u16(a, b, c): return min(a & 0xffff, b & 0xffff, c & 0xffff)
def v_max3_u16(a, b, c): return max(a & 0xffff, b & 0xffff, c & 0xffff)
# SAD/MSAD operations
def ABSDIFF(a, b): return abs(int(a) - int(b))
def v_sad_u8(s0, s1, s2):
"""V_SAD_U8: Sum of absolute differences of 4 byte pairs plus accumulator."""
s0, s1, s2 = int(s0), int(s1), int(s2)
result = s2
for i in range(4):
a = (s0 >> (i * 8)) & 0xff
b = (s1 >> (i * 8)) & 0xff
result += abs(a - b)
return result & 0xffffffff
def v_msad_u8(s0, s1, s2):
"""V_MSAD_U8: Masked sum of absolute differences (skip if reference byte is 0)."""
s0, s1, s2 = int(s0), int(s1), int(s2)
result = s2
for i in range(4):
a = (s0 >> (i * 8)) & 0xff
b = (s1 >> (i * 8)) & 0xff
if b != 0: # Only add diff if reference (s1) byte is non-zero
result += abs(a - b)
return result & 0xffffffff
def BYTE_PERMUTE(data, sel):
"""Select a byte from 64-bit data based on selector value."""
sel = int(sel) & 0xff
if sel <= 7: return (int(data) >> (sel * 8)) & 0xff
if sel == 8: return 0xff if ((int(data) >> 15) & 1) else 0x00
if sel == 9: return 0xff if ((int(data) >> 31) & 1) else 0x00
if sel == 10: return 0xff if ((int(data) >> 47) & 1) else 0x00
if sel == 11: return 0xff if ((int(data) >> 63) & 1) else 0x00
if sel == 12: return 0x00
return 0xff
# Pseudocode functions
def s_ff1_i32_b32(v): return _ctz(v, 32)
def s_ff1_i32_b64(v): return _ctz(v, 64)
GT_NEG_ZERO, LT_NEG_ZERO = _gt_neg_zero, _lt_neg_zero
def isNAN(x):
try: return math.isnan(float(x))
except (TypeError, ValueError): return False
def isQuietNAN(x): return _check_nan_type(x, 1, True)
def isSignalNAN(x): return _check_nan_type(x, 0, False)
def fma(a, b, c):
try: return math.fma(a, b, c)
except ValueError: return float('nan')
def ldexp(m, e): return math.ldexp(m, e)
def sign(f): return 1 if math.copysign(1.0, f) < 0 else 0
def exponent(f):
if hasattr(f, '_bits') and hasattr(f, '_float') and f._float:
raw = f._val
if f._bits == 16: return (raw >> 10) & 0x1f
if f._bits == 32: return (raw >> 23) & 0xff
if f._bits == 64: return (raw >> 52) & 0x7ff
f = float(f)
if math.isinf(f) or math.isnan(f): return 255
if f == 0.0: return 0
try: bits = struct.unpack("<I", struct.pack("<f", f))[0]; return (bits >> 23) & 0xff
except: return 0
def signext(x): return int(x)
def cvtToQuietNAN(x): return float('nan')
def F(x):
"""32'F(x) or 64'F(x) - interpret x as float. If x is int, treat as bit pattern."""
if isinstance(x, int): return _f32(x)
if isinstance(x, TypedView): return x
return float(x)
# Constants
PI = math.pi
WAVE32, WAVE64 = True, False
OVERFLOW_F32, UNDERFLOW_F32 = float('inf'), 0.0
OVERFLOW_F64, UNDERFLOW_F64 = float('inf'), 0.0
MAX_FLOAT_F32 = 3.4028235e+38
INF = _Inf()
ROUND_MODE = _RoundMode()
WAVE_MODE = _WaveMode()
DENORM = _Denorm()
# 2/PI with 1201 bits of precision for V_TRIG_PREOP_F64
TWO_OVER_PI_1201 = Reg(0x0145f306dc9c882a53f84eafa3ea69bb81b6c52b3278872083fca2c757bd778ac36e48dc74849ba5c00c925dd413a32439fc3bd63962534e7dd1046bea5d768909d338e04d68befc827323ac7306a673e93908bf177bf250763ff12fffbc0b301fde5e2316b414da3eda6cfd9e4f96136e9e8c7ecd3cbfd45aea4f758fd7cbe2f67a0e73ef14a525d4d7f6bf623f1aba10ac06608df8f6)
# ═══════════════════════════════════════════════════════════════════════════════
# COMPILER: pseudocode -> Python (minimal transforms)
# ═══════════════════════════════════════════════════════════════════════════════
def _filter_pseudocode(pseudocode: str) -> str:
"""Filter raw PDF pseudocode to only include actual code lines."""
pcode_lines, in_lambda, depth = [], 0, 0
for line in pseudocode.split('\n'):
s = line.strip()
if not s: continue
if '=>' in s or re.match(r'^[A-Z_]+\(', s): continue # Skip example lines
if '= lambda(' in s: in_lambda += 1; continue # Skip lambda definitions
if in_lambda > 0:
if s.endswith(');'): in_lambda -= 1
continue
# Only include lines that look like pseudocode
is_code = (any(p in s for p in ['D0.', 'D1.', 'S0.', 'S1.', 'S2.', 'SCC =', 'SCC ?', 'VCC', 'EXEC', 'tmp =', 'tmp[', 'lane =', 'PC =',
'D0[', 'D1[', 'S0[', 'S1[', 'S2[', 'MEM[', 'RETURN_DATA', 'VADDR', 'VDATA', 'VDST', 'SADDR', 'OFFSET']) or
s.startswith(('if ', 'else', 'elsif', 'endif', 'declare ', 'for ', 'endfor', '//')) or
re.match(r'^[a-z_]+\s*=', s) or re.match(r'^[a-z_]+\[', s) or (depth > 0 and '=' in s))
if s.startswith('if '): depth += 1
elif s.startswith('endif'): depth = max(0, depth - 1)
if is_code: pcode_lines.append(s)
return '\n'.join(pcode_lines)
def _compile_pseudocode(pseudocode: str) -> str:
"""Compile pseudocode to Python. Transforms are minimal - most syntax just works."""
pseudocode = re.sub(r'\bpass\b', 'pass_', pseudocode) # 'pass' is Python keyword
raw_lines = pseudocode.strip().split('\n')
joined_lines: list[str] = []
for line in raw_lines:
line = line.strip()
if joined_lines and (joined_lines[-1].rstrip().endswith(('||', '&&', '(', ',')) or
(joined_lines[-1].count('(') > joined_lines[-1].count(')'))):
joined_lines[-1] = joined_lines[-1].rstrip() + ' ' + line
else:
joined_lines.append(line)
lines = []
indent, need_pass, in_first_match_loop = 0, False, False
for line in joined_lines:
line = line.split('//')[0].strip() # Strip C-style comments
if not line: continue
if line.startswith('if '):
lines.append(' ' * indent + f"if {_expr(line[3:].rstrip(' then'))}:")
indent += 1
need_pass = True
elif line.startswith('elsif '):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
lines.append(' ' * indent + f"elif {_expr(line[6:].rstrip(' then'))}:")
indent += 1
need_pass = True
elif line == 'else':
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
lines.append(' ' * indent + "else:")
indent += 1
need_pass = True
elif line.startswith('endif'):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
need_pass = False
elif line.startswith('endfor'):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
need_pass, in_first_match_loop = False, False
elif line.startswith('declare '):
pass
elif m := re.match(r'for (\w+) in (.+?)\s*:\s*(.+?) do', line):
start, end = _expr(m[2].strip()), _expr(m[3].strip())
lines.append(' ' * indent + f"for {m[1]} in range({start}, int({end})+1):")
indent += 1
need_pass, in_first_match_loop = True, True
elif '=' in line and not line.startswith('=='):
need_pass = False
line = line.rstrip(';')
if m := re.match(r'\{\s*D1\.[ui]1\s*,\s*D0\.[ui]64\s*\}\s*=\s*(.+)', line):
rhs = _expr(m[1])
lines.append(' ' * indent + f"_full = {rhs}")
lines.append(' ' * indent + f"D0.u64 = int(_full) & 0xffffffffffffffff")
lines.append(' ' * indent + f"D1 = Reg((int(_full) >> 64) & 1)")
elif any(op in line for op in ('+=', '-=', '*=', '/=', '|=', '&=', '^=')):
for op in ('+=', '-=', '*=', '/=', '|=', '&=', '^='):
if op in line:
lhs, rhs = line.split(op, 1)
lines.append(' ' * indent + f"{lhs.strip()} {op} {_expr(rhs.strip())}")
break
else:
lhs, rhs = line.split('=', 1)
lhs_s, rhs_s = _expr(lhs.strip()), rhs.strip()
stmt = _assign(lhs_s, _expr(rhs_s))
if in_first_match_loop and rhs_s == 'i' and (lhs_s == 'tmp' or lhs_s == 'D0.i32'):
stmt += "; break"
lines.append(' ' * indent + stmt)
if need_pass: lines.append(' ' * indent + "pass")
return '\n'.join(lines)
def _assign(lhs: str, rhs: str) -> str:
if lhs in ('tmp', 'SCC', 'VCC', 'EXEC', 'D0', 'D1', 'saveexec', 'PC'):
return f"{lhs} = Reg({rhs})"
return f"{lhs} = {rhs}"
def _expr(e: str) -> str:
e = e.strip()
e = e.replace('&&', ' and ').replace('||', ' or ').replace('<>', ' != ')
e = re.sub(r'!([^=])', r' not \1', e)
e = re.sub(r'\{\s*(\w+\.u32)\s*,\s*(\w+\.u32)\s*\}', r'_pack32(\1, \2)', e)
def pack(m):
hi, lo = _expr(m[1].strip()), _expr(m[2].strip())
return f'_pack({hi}, {lo})'
e = re.sub(r'\{\s*([^,{}]+)\s*,\s*([^,{}]+)\s*\}', pack, e)
e = re.sub(r"1201'B\(2\.0\s*/\s*PI\)", "TWO_OVER_PI_1201", e)
e = re.sub(r"\d+'([0-9a-fA-Fx]+)[UuFf]*", r'\1', e)
e = re.sub(r"\d+'[FIBU]\(", "(", e)
e = re.sub(r'\bB\(', '(', e)
e = re.sub(r'([0-9a-fA-Fx])ULL\b', r'\1', e)
e = re.sub(r'([0-9a-fA-Fx])LL\b', r'\1', e)
e = re.sub(r'([0-9a-fA-Fx])U\b', r'\1', e)
e = re.sub(r'(\d\.?\d*)F\b', r'\1', e)
e = re.sub(r'(\[laneId\])\.[uib]\d+', r'\1', e)
e = e.replace('+INF', 'INF').replace('-INF', '(-INF)')
e = re.sub(r'NAN\.f\d+', 'float("nan")', e)
def convert_verilog_slice(m):
start, width = m.group(1).strip(), m.group(2).strip()
return f'[({start}) + ({width}) - 1 : ({start})]'
e = re.sub(r'\[([^:\[\]]+)\s*\+:\s*([^:\[\]]+)\]', convert_verilog_slice, e)
def process_brackets(s):
result, i = [], 0
while i < len(s):
if s[i] == '[':
depth, start = 1, i + 1
j = start
while j < len(s) and depth > 0:
if s[j] == '[': depth += 1
elif s[j] == ']': depth -= 1
j += 1
inner = _expr(s[start:j-1])
result.append('[' + inner + ']')
i = j
else:
result.append(s[i])
i += 1
return ''.join(result)
e = process_brackets(e)
while '?' in e:
depth, bracket, q = 0, 0, -1
for i, c in enumerate(e):
if c == '(': depth += 1
elif c == ')': depth -= 1
elif c == '[': bracket += 1
elif c == ']': bracket -= 1
elif c == '?' and depth == 0 and bracket == 0: q = i; break
if q < 0: break
depth, bracket, col = 0, 0, -1
for i in range(q + 1, len(e)):
if e[i] == '(': depth += 1
elif e[i] == ')': depth -= 1
elif e[i] == '[': bracket += 1
elif e[i] == ']': bracket -= 1
elif e[i] == ':' and depth == 0 and bracket == 0: col = i; break
if col < 0: break
cond, t, f = e[:q].strip(), e[q+1:col].strip(), e[col+1:].strip()
e = f'(({t}) if ({cond}) else ({f}))'
return e
def _apply_pseudocode_fixes(op_name: str, code: str) -> str:
"""Apply known fixes for PDF pseudocode bugs."""
if op_name == 'V_DIV_FMAS_F32':
code = code.replace('D0.f32 = 2.0 ** 32 * fma(S0.f32, S1.f32, S2.f32)',
'D0.f32 = (2.0 ** 64 if exponent(S2.f32) > 127 else 2.0 ** -64) * fma(S0.f32, S1.f32, S2.f32)')
if op_name == 'V_DIV_FMAS_F64':
code = code.replace('D0.f64 = 2.0 ** 64 * fma(S0.f64, S1.f64, S2.f64)',
'D0.f64 = (2.0 ** 128 if exponent(S2.f64) > 1023 else 2.0 ** -128) * fma(S0.f64, S1.f64, S2.f64)')
if op_name == 'V_DIV_SCALE_F32':
code = code.replace('D0.f32 = float("nan")', 'VCC = Reg(0x1); D0.f32 = float("nan")')
code = code.replace('elif S1.f32 == DENORM.f32:\n D0.f32 = ldexp(S0.f32, 64)', 'elif False:\n pass')
code += '\nif S1.f32 == DENORM.f32:\n D0.f32 = float("nan")'
code = code.replace('elif exponent(S2.f32) <= 23:\n D0.f32 = ldexp(S0.f32, 64)', 'elif exponent(S2.f32) <= 23:\n VCC = Reg(0x1); D0.f32 = ldexp(S0.f32, 64)')
code = code.replace('elif S2.f32 / S1.f32 == DENORM.f32:\n VCC = Reg(0x1)\n if S0.f32 == S2.f32:\n D0.f32 = ldexp(S0.f32, 64)', 'elif S2.f32 / S1.f32 == DENORM.f32:\n VCC = Reg(0x1)')
if op_name == 'V_DIV_SCALE_F64':
code = code.replace('D0.f64 = float("nan")', 'VCC = Reg(0x1); D0.f64 = float("nan")')
code = code.replace('elif S1.f64 == DENORM.f64:\n D0.f64 = ldexp(S0.f64, 128)', 'elif False:\n pass')
code += '\nif S1.f64 == DENORM.f64:\n D0.f64 = float("nan")'
code = code.replace('elif exponent(S2.f64) <= 52:\n D0.f64 = ldexp(S0.f64, 128)', 'elif exponent(S2.f64) <= 52:\n VCC = Reg(0x1); D0.f64 = ldexp(S0.f64, 128)')
code = code.replace('elif S2.f64 / S1.f64 == DENORM.f64:\n VCC = Reg(0x1)\n if S0.f64 == S2.f64:\n D0.f64 = ldexp(S0.f64, 128)', 'elif S2.f64 / S1.f64 == DENORM.f64:\n VCC = Reg(0x1)')
if op_name == 'V_DIV_FIXUP_F32':
code = code.replace('D0.f32 = ((-abs(S0.f32)) if (sign_out) else (abs(S0.f32)))',
'D0.f32 = ((-OVERFLOW_F32) if (sign_out) else (OVERFLOW_F32)) if isNAN(S0.f32) else ((-abs(S0.f32)) if (sign_out) else (abs(S0.f32)))')
if op_name == 'V_DIV_FIXUP_F64':
code = code.replace('D0.f64 = ((-abs(S0.f64)) if (sign_out) else (abs(S0.f64)))',
'D0.f64 = ((-OVERFLOW_F64) if (sign_out) else (OVERFLOW_F64)) if isNAN(S0.f64) else ((-abs(S0.f64)) if (sign_out) else (abs(S0.f64)))')
if op_name == 'V_TRIG_PREOP_F64':
code = code.replace('result = F((TWO_OVER_PI_1201[1200 : 0] << shift.u32) & 0x1fffffffffffff)',
'result = float(((TWO_OVER_PI_1201[1200 : 0] << int(shift)) >> (1201 - 53)) & 0x1fffffffffffff)')
return code
def _generate_function(cls_name: str, op_name: str, pc: str, code: str) -> str:
"""Generate a single compiled pseudocode function.
Functions take int parameters and return dict of int values.
Reg wrapping happens inside the function, only for registers actually used."""
has_d1 = '{ D1' in pc
is_cmpx = (cls_name in ('VOPCOp', 'VOP3Op')) and 'EXEC.u64[laneId]' in pc
is_div_scale = 'DIV_SCALE' in op_name
has_sdst = cls_name == 'VOP3SDOp' and ('VCC.u64[laneId]' in pc or is_div_scale)
is_ds = cls_name == 'DSOp'
is_flat = cls_name in ('FLATOp', 'GLOBALOp', 'SCRATCHOp')
is_smem = cls_name == 'SMEMOp'
has_s_array = 'S[i]' in pc # FMA_MIX style: S[0], S[1], S[2] array access
combined = code + pc
fn_name = f"_{cls_name}_{op_name}"
# Detect which registers are used/modified
def needs_init(name): return name in combined and not re.search(rf'^\s*{name}\s*=\s*Reg\(', code, re.MULTILINE)
modifies_d0 = is_div_scale or bool(re.search(r'\bD0\b[.\[]', combined))
modifies_exec = is_cmpx or bool(re.search(r'EXEC\.(u32|u64|b32|b64)\s*=', combined))
modifies_vcc = has_sdst or bool(re.search(r'VCC\.(u32|u64|b32|b64)\s*=|VCC\.u64\[laneId\]\s*=', combined))
modifies_scc = bool(re.search(r'\bSCC\s*=', combined))
modifies_pc = bool(re.search(r'\bPC\s*=', combined))
# Build function signature and Reg init lines
if is_smem:
lines = [f"def {fn_name}(MEM, addr):"]
reg_inits = ["ADDR=Reg(addr)", "SDATA=Reg(0)"]
special_regs = []
elif is_ds:
lines = [f"def {fn_name}(MEM, addr, data0, data1, offset0, offset1):"]
reg_inits = ["ADDR=Reg(addr)", "DATA0=Reg(data0)", "DATA1=Reg(data1)", "OFFSET0=Reg(offset0)", "OFFSET1=Reg(offset1)", "RETURN_DATA=Reg(0)"]
special_regs = [('DATA', 'DATA0'), ('DATA2', 'DATA1'), ('OFFSET', 'OFFSET0'), ('ADDR_BASE', 'ADDR')]
elif is_flat:
lines = [f"def {fn_name}(MEM, addr, vdata, vdst):"]
reg_inits = ["ADDR=addr", "VDATA=Reg(vdata)", "VDST=Reg(vdst)", "RETURN_DATA=Reg(0)"]
special_regs = [('DATA', 'VDATA')]
elif has_s_array:
# FMA_MIX style: needs S[i] array, opsel, opsel_hi for source selection (neg/neg_hi applied in emu.py before call)
lines = [f"def {fn_name}(s0, s1, s2, d0, scc, vcc, laneId, exec_mask, literal, VGPR, src0_idx=0, vdst_idx=0, pc=None, opsel=0, opsel_hi=0):"]
reg_inits = ["S0=Reg(s0)", "S1=Reg(s1)", "S2=Reg(s2)", "S=[S0,S1,S2]", "D0=Reg(d0)", "OPSEL=Reg(opsel)", "OPSEL_HI=Reg(opsel_hi)"]
special_regs = []
# Detect array declarations like "declare in : 32'F[3]" and create them (rename 'in' to 'ins' since 'in' is a keyword)
if "in[" in combined:
reg_inits.append("ins=[Reg(0),Reg(0),Reg(0)]")
code = code.replace("in[", "ins[")
else:
lines = [f"def {fn_name}(s0, s1, s2, d0, scc, vcc, laneId, exec_mask, literal, VGPR, src0_idx=0, vdst_idx=0, pc=None):"]
# Only create Regs for registers actually used in the pseudocode
reg_inits = []
if 'S0' in combined: reg_inits.append("S0=Reg(s0)")
if 'S1' in combined: reg_inits.append("S1=Reg(s1)")
if 'S2' in combined: reg_inits.append("S2=Reg(s2)")
if modifies_d0 or 'D0' in combined: reg_inits.append("D0=Reg(s0)" if is_div_scale else "D0=Reg(d0)")
if modifies_scc or 'SCC' in combined: reg_inits.append("SCC=Reg(scc)")
if modifies_vcc or 'VCC' in combined: reg_inits.append("VCC=Reg(vcc)")
if modifies_exec or 'EXEC' in combined: reg_inits.append("EXEC=Reg(exec_mask)")
if modifies_pc or 'PC' in combined: reg_inits.append("PC=Reg(pc) if pc is not None else None")
special_regs = [('D1', 'Reg(0)'), ('SIMM16', 'Reg(literal)'), ('SIMM32', 'Reg(literal)'),
('SRC0', 'Reg(src0_idx)'), ('VDST', 'Reg(vdst_idx)')]
if needs_init('tmp'): special_regs.insert(0, ('tmp', 'Reg(0)'))
if needs_init('saveexec'): special_regs.insert(0, ('saveexec', 'Reg(EXEC._val)'))
# Build init code
init_parts = reg_inits.copy()
for name, init in special_regs:
if name in combined: init_parts.append(f"{name}={init}")
if 'EXEC_LO' in code: init_parts.append("EXEC_LO=TypedView(EXEC, 31, 0)")
if 'EXEC_HI' in code: init_parts.append("EXEC_HI=TypedView(EXEC, 63, 32)")
if 'VCCZ' in code and not re.search(r'^\s*VCCZ\s*=', code, re.MULTILINE): init_parts.append("VCCZ=Reg(1 if VCC._val == 0 else 0)")
if 'EXECZ' in code and not re.search(r'^\s*EXECZ\s*=', code, re.MULTILINE): init_parts.append("EXECZ=Reg(1 if EXEC._val == 0 else 0)")
# Add init line and separator
if init_parts: lines.append(f" {'; '.join(init_parts)}")
# Add compiled pseudocode
for line in code.split('\n'):
if line.strip(): lines.append(f" {line}")
# Build result dict
result_items = []
if modifies_d0: result_items.append("'D0': D0._val")
if modifies_scc: result_items.append("'SCC': SCC._val")
if modifies_vcc: result_items.append("'VCC': VCC._val")
if modifies_exec: result_items.append("'EXEC': EXEC._val")
if has_d1: result_items.append("'D1': D1._val")
if modifies_pc: result_items.append("'PC': PC._val")
if is_smem and 'SDATA' in combined and re.search(r'^\s*SDATA[\.\[].*=', code, re.MULTILINE):
result_items.append("'SDATA': SDATA._val")
if is_ds and 'RETURN_DATA' in combined and re.search(r'^\s*RETURN_DATA[\.\[].*=', code, re.MULTILINE):
result_items.append("'RETURN_DATA': RETURN_DATA._val")
if is_flat:
if 'RETURN_DATA' in combined and re.search(r'^\s*RETURN_DATA[\.\[].*=', code, re.MULTILINE):
result_items.append("'RETURN_DATA': RETURN_DATA._val")
if re.search(r'^\s*VDATA[\.\[].*=', code, re.MULTILINE):
result_items.append("'VDATA': VDATA._val")
lines.append(f" return {{{', '.join(result_items)}}}")
return '\n'.join(lines)
# Build the globals dict for exec() - includes all pcode symbols
_PCODE_GLOBALS = {
'Reg': Reg, 'TypedView': TypedView, '_pack': _pack, '_pack32': _pack32,
'ABSDIFF': ABSDIFF, 'BYTE_PERMUTE': BYTE_PERMUTE, 'DENORM': DENORM, 'F': F,
'GT_NEG_ZERO': GT_NEG_ZERO, 'LT_NEG_ZERO': LT_NEG_ZERO, 'INF': INF,
'MAX_FLOAT_F32': MAX_FLOAT_F32, 'OVERFLOW_F32': OVERFLOW_F32, 'OVERFLOW_F64': OVERFLOW_F64,
'UNDERFLOW_F32': UNDERFLOW_F32, 'UNDERFLOW_F64': UNDERFLOW_F64,
'PI': PI, 'ROUND_MODE': ROUND_MODE, 'WAVE_MODE': WAVE_MODE,
'WAVE32': WAVE32, 'WAVE64': WAVE64, 'TWO_OVER_PI_1201': TWO_OVER_PI_1201,
'SAT8': SAT8, 'trunc': trunc, 'floor': floor, 'ceil': ceil, 'sqrt': sqrt,
'log2': log2, 'fract': fract, 'sin': sin, 'cos': cos, 'pow': pow,
'isEven': isEven, 'mantissa': mantissa, 'signext_from_bit': signext_from_bit,
'i32_to_f32': i32_to_f32, 'u32_to_f32': u32_to_f32, 'i32_to_f64': i32_to_f64,
'u32_to_f64': u32_to_f64, 'f32_to_f64': f32_to_f64, 'f64_to_f32': f64_to_f32,
'f32_to_i32': f32_to_i32, 'f32_to_u32': f32_to_u32, 'f64_to_i32': f64_to_i32,
'f64_to_u32': f64_to_u32, 'f32_to_f16': f32_to_f16, 'f16_to_f32': f16_to_f32,
'i16_to_f16': i16_to_f16, 'u16_to_f16': u16_to_f16, 'f16_to_i16': f16_to_i16,
'f16_to_u16': f16_to_u16, 'bf16_to_f32': bf16_to_f32, 'f32_to_bf16': f32_to_bf16,
'u8_to_u32': u8_to_u32, 'u4_to_u32': u4_to_u32, 'u32_to_u16': u32_to_u16,
'i32_to_i16': i32_to_i16, 'f16_to_snorm': f16_to_snorm, 'f16_to_unorm': f16_to_unorm,
'f32_to_snorm': f32_to_snorm, 'f32_to_unorm': f32_to_unorm,
'v_cvt_i16_f32': v_cvt_i16_f32, 'v_cvt_u16_f32': v_cvt_u16_f32, 'f32_to_u8': f32_to_u8,
'v_min_f32': v_min_f32, 'v_max_f32': v_max_f32, 'v_min_f16': v_min_f16, 'v_max_f16': v_max_f16,
'v_min_i32': v_min_i32, 'v_max_i32': v_max_i32, 'v_min_i16': v_min_i16, 'v_max_i16': v_max_i16,
'v_min_u32': v_min_u32, 'v_max_u32': v_max_u32, 'v_min_u16': v_min_u16, 'v_max_u16': v_max_u16,
'v_min3_f32': v_min3_f32, 'v_max3_f32': v_max3_f32, 'v_min3_f16': v_min3_f16, 'v_max3_f16': v_max3_f16,
'v_min3_i32': v_min3_i32, 'v_max3_i32': v_max3_i32, 'v_min3_i16': v_min3_i16, 'v_max3_i16': v_max3_i16,
'v_min3_u32': v_min3_u32, 'v_max3_u32': v_max3_u32, 'v_min3_u16': v_min3_u16, 'v_max3_u16': v_max3_u16,
'v_sad_u8': v_sad_u8, 'v_msad_u8': v_msad_u8,
's_ff1_i32_b32': s_ff1_i32_b32, 's_ff1_i32_b64': s_ff1_i32_b64,
'isNAN': isNAN, 'isQuietNAN': isQuietNAN, 'isSignalNAN': isSignalNAN,
'fma': fma, 'ldexp': ldexp, 'sign': sign, 'exponent': exponent,
'signext': signext, 'cvtToQuietNAN': cvtToQuietNAN,
}
@functools.cache
def compile_pseudocode(cls_name: str, op_name: str, pseudocode: str):
"""Compile pseudocode string to executable function. Cached for performance."""
filtered = _filter_pseudocode(pseudocode)
code = _compile_pseudocode(filtered)
code = _apply_pseudocode_fixes(op_name, code)
fn_code = _generate_function(cls_name, op_name, filtered, code)
fn_name = f"_{cls_name}_{op_name}"
local_ns = {}
exec(fn_code, _PCODE_GLOBALS, local_ns)
return local_ns[fn_name]
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"""SQTT (SQ Thread Trace) packet encoder and decoder for AMD GPUs.
This module provides encoding and decoding of raw SQTT byte streams.
The format is nibble-based with variable-width packets determined by a state machine.
Uses BitField infrastructure from dsl.py, similar to GPU instruction encoding.
"""
from __future__ import annotations
from typing import Iterator
from enum import Enum
from extra.assembly.amd.dsl import BitField, FixedBitField, bits
# ═══════════════════════════════════════════════════════════════════════════════
# FIELD ENUMS
# ═══════════════════════════════════════════════════════════════════════════════
class MemSrc(Enum):
LDS = 0
LDS_ALT = 1
VMEM = 2
VMEM_ALT = 3
class AluSrc(Enum):
NONE = 0
SALU = 1
VALU = 2
VALU_SALU = 3
class InstOp(Enum):
"""SQTT instruction operation types.
Memory ops appear in two ranges depending on which SIMD executes them:
- 0x1x-0x2x range: ops on traced SIMD
- 0x5x range: ops on other SIMD (OTHER_ prefix)
GLOBAL memory ops encoding depends on addressing mode AND size:
- Loads: 0x21 (saddr=SGPR) or 0x22 (saddr=NULL), all sizes same
- Stores: base + size_offset, where VADDR is shifted +1 from SADDR
SADDR: 0x24(32) 0x25(64) 0x26(96) 0x27(128)
VADDR: 0x25(32) 0x26(64) 0x27(96) 0x28(128)
OTHER_ range follows same pattern but values overlap differently.
"""
SALU = 0x0
SMEM = 0x1
JUMP = 0x3 # branch taken
JUMP_NO = 0x4 # branch not taken
MESSAGE = 0x9
VALU_TRANS = 0xb # transcendental: exp, log, rcp, sqrt, sin, cos
VALU_64_SHIFT = 0xd # 64-bit shifts: lshl, lshr, ashr
VALU_MAD64 = 0xe # 64-bit multiply-add
VALU_64 = 0xf # 64-bit: add, mul, fma, rcp, sqrt, rounding, frexp, div helpers
VINTERP = 0x12 # interpolation: v_interp_p10_f32, v_interp_p2_f32
BARRIER = 0x13
# FLAT memory ops on traced SIMD (0x1x range)
FLAT_LOAD = 0x1c
FLAT_STORE = 0x1d
FLAT_STORE_64 = 0x1e
FLAT_STORE_96 = 0x1f
FLAT_STORE_128 = 0x20
# GLOBAL memory ops on traced SIMD (0x2x range)
GLOBAL_LOAD = 0x21 # saddr=SGPR, all sizes
GLOBAL_LOAD_VADDR = 0x22 # saddr=NULL, all sizes
GLOBAL_STORE = 0x24 # saddr=SGPR, 32-bit
GLOBAL_STORE_64 = 0x25 # saddr=SGPR 64 or saddr=NULL 32
GLOBAL_STORE_96 = 0x26 # saddr=SGPR 96 or saddr=NULL 64
GLOBAL_STORE_128 = 0x27 # saddr=SGPR 128 or saddr=NULL 96
GLOBAL_STORE_VADDR_128 = 0x28 # saddr=NULL, 128-bit
# LDS ops on traced SIMD
LDS_LOAD = 0x29
LDS_STORE = 0x2b
LDS_STORE_64 = 0x2c
LDS_STORE_128 = 0x2e
# Memory ops on other SIMD (0x5x range)
OTHER_LDS_LOAD = 0x50
OTHER_LDS_STORE = 0x51
OTHER_LDS_STORE_64 = 0x52
OTHER_LDS_STORE_128 = 0x54
OTHER_FLAT_LOAD = 0x55
OTHER_FLAT_STORE = 0x56
OTHER_FLAT_STORE_64 = 0x57
OTHER_FLAT_STORE_96 = 0x58
OTHER_FLAT_STORE_128 = 0x59
OTHER_GLOBAL_LOAD = 0x5a # saddr=SGPR, all sizes
OTHER_GLOBAL_LOAD_VADDR = 0x5b # saddr=NULL or saddr=SGPR store 32
OTHER_GLOBAL_STORE_64 = 0x5c # saddr=SGPR 64 or saddr=NULL 32
OTHER_GLOBAL_STORE_96 = 0x5d # saddr=SGPR 96 or saddr=NULL 64
OTHER_GLOBAL_STORE_128 = 0x5e # saddr=SGPR 128 or saddr=NULL 96
OTHER_GLOBAL_STORE_VADDR_128 = 0x5f # saddr=NULL, 128-bit
# EXEC-modifying ops (0x7x range)
SALU_SAVEEXEC = 0x72 # s_*_saveexec_b32/b64
VALU_CMPX = 0x73 # v_cmpx_*
# ═══════════════════════════════════════════════════════════════════════════════
# PACKET TYPE BASE CLASS
# ═══════════════════════════════════════════════════════════════════════════════
class PacketType:
"""Base class for SQTT packet types."""
encoding: FixedBitField
_raw: int
_time: int
def __init_subclass__(cls, **kwargs):
super().__init_subclass__(**kwargs)
cls._fields = {k: v for k, v in cls.__dict__.items() if isinstance(v, BitField)}
cls._size_nibbles = ((max((f.hi for f in cls._fields.values()), default=0) + 4) // 4)
@classmethod
def from_raw(cls, raw: int, time: int = 0):
inst = object.__new__(cls)
inst._raw, inst._time = raw, time
return inst
def __repr__(self) -> str:
fields_str = ", ".join(f"{k}={getattr(self, k)}" for k in self._fields if not k.startswith('_'))
return f"{self.__class__.__name__}({fields_str})"
# ═══════════════════════════════════════════════════════════════════════════════
# PACKET TYPE DEFINITIONS
# ═══════════════════════════════════════════════════════════════════════════════
class VALUINST(PacketType): # exclude: 1 << 2
encoding = bits[2:0] == 0b011
delta = bits[5:3]
flag = bits[6:6]
wave = bits[11:7]
class VMEMEXEC(PacketType): # exclude: 1 << 0
encoding = bits[3:0] == 0b1111
delta = bits[5:4]
src = bits[7:6].enum(MemSrc)
class ALUEXEC(PacketType): # exclude: 1 << 1
encoding = bits[3:0] == 0b1110
delta = bits[5:4]
src = bits[7:6].enum(AluSrc)
class IMMEDIATE(PacketType): # exclude: 1 << 5
encoding = bits[3:0] == 0b1101
delta = bits[6:4]
wave = bits[11:7]
class IMMEDIATE_MASK(PacketType): # exclude: 1 << 5
encoding = bits[4:0] == 0b00100
delta = bits[7:5]
mask = bits[23:8]
class WAVERDY(PacketType): # exclude: 1 << 3
encoding = bits[4:0] == 0b10100
delta = bits[7:5]
mask = bits[23:8]
class TS_DELTA_S8_W3(PacketType):
encoding = bits[6:0] == 0b0100001
delta = bits[10:8]
_padding = bits[63:11]
class WAVEEND(PacketType): # exclude: 1 << 4
encoding = bits[4:0] == 0b10101
delta = bits[7:5]
flag7 = bits[8:8]
simd = bits[10:9]
cu_lo = bits[13:11]
wave = bits[19:15]
@property
def cu(self) -> int: return self.cu_lo | (self.flag7 << 3)
class WAVESTART(PacketType): # exclude: 1 << 4
encoding = bits[4:0] == 0b01100
delta = bits[6:5]
flag7 = bits[7:7]
simd = bits[9:8]
cu_lo = bits[12:10]
wave = bits[17:13]
id7 = bits[31:18]
@property
def cu(self) -> int: return self.cu_lo | (self.flag7 << 3)
class TS_DELTA_S5_W2(PacketType):
encoding = bits[4:0] == 0b11100
delta = bits[6:5]
_padding = bits[47:7]
class WAVEALLOC(PacketType): # exclude: 1 << 10
encoding = bits[4:0] == 0b00101
delta = bits[7:5]
_padding = bits[19:8]
class TS_DELTA_S5_W3(PacketType):
encoding = bits[4:0] == 0b00110
delta = bits[7:5]
_padding = bits[51:8]
class PERF(PacketType): # exclude: 1 << 11
encoding = bits[4:0] == 0b10110
delta = bits[7:5]
arg = bits[27:8]
class TS_DELTA_SHORT(PacketType):
encoding = bits[3:0] == 0b1000
delta = bits[7:4]
class NOP(PacketType):
encoding = bits[3:0] == 0b0000
delta = None # type: ignore
_padding = bits[3:0]
class TS_WAVE_STATE(PacketType):
encoding = bits[6:0] == 0b1010001
delta = bits[15:7]
coarse = bits[23:16]
@property
def wave_interest(self) -> bool: return bool(self.coarse & 1)
@property
def terminate_all(self) -> bool: return bool(self.coarse & 8)
class EVENT(PacketType): # exclude: 1 << 7
encoding = bits[7:0] == 0b01100001
delta = bits[10:8]
event = bits[23:11]
class EVENT_BIG(PacketType):
encoding = bits[7:0] == 0b11100001
delta = bits[10:8]
event = bits[31:11]
class REG(PacketType):
encoding = bits[3:0] == 0b1001
delta = bits[6:4]
slot = bits[9:7]
hi_byte = bits[15:8]
subop = bits[31:16]
val32 = bits[63:32]
@property
def is_config(self) -> bool: return bool(self.hi_byte & 0x80)
class SNAPSHOT(PacketType):
encoding = bits[6:0] == 0b1110001
delta = bits[9:7]
snap = bits[63:10]
class TS_DELTA_OR_MARK(PacketType):
encoding = bits[6:0] == 0b0000001
delta = bits[47:12]
bit8 = bits[8:8]
bit9 = bits[9:9]
@property
def is_marker(self) -> bool: return bool(self.bit9 and not self.bit8)
class LAYOUT_HEADER(PacketType):
encoding = bits[6:0] == 0b0010001
delta = None # type: ignore
layout = bits[12:7]
simd = bits[14:13]
group = bits[17:15]
sel_a = bits[31:28]
sel_b = bits[36:33]
flag4 = bits[59:59]
_padding = bits[63:60]
class INST(PacketType):
encoding = bits[2:0] == 0b010
delta = bits[6:4]
flag1 = bits[3:3]
flag2 = bits[7:7]
wave = bits[12:8]
op = bits[19:13].enum(InstOp)
class UTILCTR(PacketType):
encoding = bits[6:0] == 0b0110001
delta = bits[8:7]
ctr = bits[47:9]
# All packet types in encoding priority order (more specific masks first, NOP last as fallback)
PACKET_TYPES: list[type[PacketType]] = [
EVENT, EVENT_BIG,
TS_DELTA_S8_W3, TS_WAVE_STATE, SNAPSHOT, TS_DELTA_OR_MARK, LAYOUT_HEADER, UTILCTR,
IMMEDIATE_MASK, WAVERDY, WAVEEND, WAVESTART, TS_DELTA_S5_W2, WAVEALLOC, TS_DELTA_S5_W3, PERF,
VMEMEXEC, ALUEXEC, IMMEDIATE, TS_DELTA_SHORT, REG,
VALUINST, INST,
NOP,
]
def _build_state_table() -> tuple[bytes, dict[int, type[PacketType]]]:
table = [len(PACKET_TYPES) - 1] * 256 # default to NOP
opcode_to_class: dict[int, type[PacketType]] = {i: cls for i, cls in enumerate(PACKET_TYPES)}
for byte_val in range(256):
for opcode, pkt_cls in enumerate(PACKET_TYPES):
if (byte_val & pkt_cls.encoding.mask) == pkt_cls.encoding.default:
table[byte_val] = opcode
break
return bytes(table), opcode_to_class
STATE_TO_OPCODE, OPCODE_TO_CLASS = _build_state_table()
# Precompute special case opcodes
_TS_DELTA_OR_MARK_OPCODE = next(op for op, cls in OPCODE_TO_CLASS.items() if cls is TS_DELTA_OR_MARK)
_TS_DELTA_SHORT_OPCODE = next(op for op, cls in OPCODE_TO_CLASS.items() if cls is TS_DELTA_SHORT)
# Combined lookup: opcode -> (pkt_cls, nib_count, delta_lo, delta_mask, special_case)
# special_case: 0=none, 1=TS_DELTA_OR_MARK, 2=TS_DELTA_SHORT
_DECODE_INFO: dict[int, tuple] = {}
for _opcode, _pkt_cls in OPCODE_TO_CLASS.items():
_delta_field = getattr(_pkt_cls, 'delta', None)
_delta_lo = _delta_field.lo if _delta_field else 0
_delta_mask = _delta_field.mask if _delta_field else 0
_special = 1 if _opcode == _TS_DELTA_OR_MARK_OPCODE else (2 if _opcode == _TS_DELTA_SHORT_OPCODE else 0)
_DECODE_INFO[_opcode] = (_pkt_cls, _pkt_cls._size_nibbles, _delta_lo, _delta_mask, _special)
# ═══════════════════════════════════════════════════════════════════════════════
# DECODER
# ═══════════════════════════════════════════════════════════════════════════════
def decode(data: bytes) -> Iterator[PacketType]:
"""Decode raw SQTT blob, yielding packet instances."""
n, reg, pos, nib_off, nib_count, time = len(data), 0, 0, 0, 16, 0
while pos + ((nib_count + nib_off + 1) >> 1) <= n:
need = nib_count - nib_off
# 1. if unaligned, read high nibble to align
if nib_off: reg, pos = (reg >> 4) | ((data[pos] >> 4) << 60), pos + 1
# 2. read all full bytes at once
if (byte_count := need >> 1):
chunk = int.from_bytes(data[pos:pos + byte_count], 'little')
reg, pos = (reg >> (byte_count * 8)) | (chunk << (64 - byte_count * 8)), pos + byte_count
# 3. if odd, read low nibble
if (nib_off := need & 1): reg = (reg >> 4) | ((data[pos] & 0xF) << 60)
opcode = STATE_TO_OPCODE[reg & 0xFF]
pkt_cls, nib_count, delta_lo, delta_mask, special = _DECODE_INFO[opcode]
delta = (reg >> delta_lo) & delta_mask
if special == 1 and (reg >> 9) & 1 and not (reg >> 8) & 1: delta = 0 # TS_DELTA_OR_MARK marker
elif special == 2: delta += 8 # TS_DELTA_SHORT
time += delta
yield pkt_cls.from_raw(reg, time)
# ═══════════════════════════════════════════════════════════════════════════════
# PRINTER
# ═══════════════════════════════════════════════════════════════════════════════
PACKET_COLORS = {
"INST": "WHITE", "VALUINST": "BLACK", "VMEMEXEC": "yellow", "ALUEXEC": "yellow",
"IMMEDIATE": "YELLOW", "IMMEDIATE_MASK": "YELLOW", "WAVERDY": "cyan", "WAVEALLOC": "cyan",
"WAVEEND": "blue", "WAVESTART": "blue", "PERF": "magenta", "EVENT": "red", "EVENT_BIG": "red",
"REG": "green", "LAYOUT_HEADER": "white", "SNAPSHOT": "white", "UTILCTR": "green",
}
def format_packet(p) -> str:
from tinygrad.helpers import colored
name = type(p).__name__
if isinstance(p, INST):
op_name = p.op.name if isinstance(p.op, InstOp) else f"0x{p.op:02x}"
fields = f"wave={p.wave} op={op_name}" + (" flag1" if p.flag1 else "") + (" flag2" if p.flag2 else "")
elif isinstance(p, VALUINST): fields = f"wave={p.wave}" + (" flag" if p.flag else "")
elif isinstance(p, ALUEXEC): fields = f"src={p.src.name if isinstance(p.src, AluSrc) else p.src}"
elif isinstance(p, VMEMEXEC): fields = f"src={p.src.name if isinstance(p.src, MemSrc) else p.src}"
elif isinstance(p, (WAVESTART, WAVEEND)): fields = f"wave={p.wave} simd={p.simd} cu={p.cu}"
elif hasattr(p, '_fields'):
fields = " ".join(f"{k}=0x{getattr(p, k):x}" if k in {'snap', 'val32'} else f"{k}={getattr(p, k)}"
for k in p._fields if not k.startswith('_') and k not in {'delta', 'encoding'})
else: fields = ""
return f"{p._time:8}: {colored(f'{name:18}', PACKET_COLORS.get(name, 'white'))} {fields}"
def print_packets(packets) -> None:
skip = {"NOP", "TS_DELTA_SHORT", "TS_WAVE_STATE", "TS_DELTA_OR_MARK", "TS_DELTA_S5_W2", "TS_DELTA_S5_W3", "TS_DELTA_S8_W3", "REG", "EVENT"}
for p in packets:
if type(p).__name__ not in skip: print(format_packet(p))
if __name__ == "__main__":
import sys, pickle
if len(sys.argv) < 2:
print("Usage: python sqtt.py <pkl_file>")
sys.exit(1)
with open(sys.argv[1], "rb") as f:
data = pickle.load(f)
sqtt_events = [e for e in data if type(e).__name__ == "ProfileSQTTEvent"]
for i, event in enumerate(sqtt_events):
print(f"\n=== event {i} ===")
print_packets(decode(event.blob))
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#!/usr/bin/env python3
"""Benchmark comparing Python vs Rust RDNA3 emulators on real tinygrad kernels."""
import ctypes, time, os
from pathlib import Path
# Set AMD=1 before importing tinygrad
os.environ["AMD"] = "1"
from extra.assembly.amd.emu import run_asm as python_run_asm, set_valid_mem_ranges, decode_program
REMU_PATH = Path(__file__).parents[3] / "remu/target/release/libremu.so"
if not REMU_PATH.exists():
REMU_PATH = Path(__file__).parents[3] / "remu/target/release/libremu.dylib"
def get_rust_remu():
"""Load the Rust libremu shared library."""
if not REMU_PATH.exists(): return None
remu = ctypes.CDLL(str(REMU_PATH))
remu.run_asm.restype = ctypes.c_int32
remu.run_asm.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32, ctypes.c_uint32, ctypes.c_uint32,
ctypes.c_uint32, ctypes.c_uint32, ctypes.c_uint32, ctypes.c_void_p]
return remu
def count_instructions(kernel: bytes) -> int:
"""Count instructions in a kernel."""
return len(decode_program(kernel))
def setup_buffers(buf_sizes: list[int], init_data: dict[int, bytes] | None = None):
"""Allocate buffers and return args pointer + valid ranges."""
if init_data is None: init_data = {}
buffers = []
for i, size in enumerate(buf_sizes):
padded = ((size + 15) // 16) * 16 + 16
data = init_data.get(i, b'\x00' * padded)
data_list = list(data) + [0] * (padded - len(data))
buf = (ctypes.c_uint8 * padded)(*data_list[:padded])
buffers.append(buf)
args = (ctypes.c_uint64 * len(buffers))(*[ctypes.addressof(b) for b in buffers])
args_ptr = ctypes.addressof(args)
ranges = {(ctypes.addressof(b), len(b)) for b in buffers}
ranges.add((args_ptr, ctypes.sizeof(args)))
return buffers, args, args_ptr, ranges
def benchmark_emulator(name: str, run_fn, kernel: bytes, global_size, local_size, args_ptr, rsrc2: int, iterations: int = 5):
"""Benchmark an emulator and return average time."""
gx, gy, gz = global_size
lx, ly, lz = local_size
kernel_buf = (ctypes.c_char * len(kernel)).from_buffer_copy(kernel)
lib_ptr = ctypes.addressof(kernel_buf)
# Warmup
run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr, rsrc2)
# Timed runs
times = []
for _ in range(iterations):
start = time.perf_counter()
result = run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr, rsrc2)
end = time.perf_counter()
if result != 0:
print(f" {name} returned error: {result}")
return None
times.append(end - start)
return sum(times) / len(times)
def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], dict[int, bytes], int] | None:
"""Get a real tinygrad kernel by operation name. Returns (code, global_size, local_size, buf_sizes, buf_data, rsrc2)."""
try:
from tinygrad import Tensor
from tinygrad.runtime.support.elf import elf_loader
from tinygrad.runtime.autogen import hsa
import numpy as np
np.random.seed(42)
ops = {
"add": lambda: Tensor.empty(1024) + Tensor.empty(1024),
"mul": lambda: Tensor.empty(1024) * Tensor.empty(1024),
"matmul_small": lambda: Tensor.empty(16, 16) @ Tensor.empty(16, 16),
"matmul_medium": lambda: Tensor.empty(64, 64) @ Tensor.empty(64, 64),
"reduce_sum": lambda: Tensor.empty(4096).sum(),
"reduce_max": lambda: Tensor.empty(4096).max(),
"softmax": lambda: Tensor.empty(256).softmax(),
"layernorm": lambda: Tensor.empty(32, 64).layernorm(),
"conv2d": lambda: Tensor.empty(1, 4, 16, 16).conv2d(Tensor.empty(4, 4, 3, 3)),
"gelu": lambda: Tensor.empty(1024).gelu(),
"exp": lambda: Tensor.empty(1024).exp(),
"sin": lambda: Tensor.empty(1024).sin(),
}
if op_name not in ops: return None
out = ops[op_name]()
sched = out.schedule()
for ei in sched:
lowered = ei.lower()
if ei.ast.op.name == 'SINK' and lowered.prg and lowered.prg.p.lib:
lib = bytes(lowered.prg.p.lib)
image = memoryview(bytearray(lib))
_, sections, _ = elf_loader(lib)
rodata_entry = next((sh.header.sh_addr for sh in sections if sh.name == ".rodata"), -1)
for sec in sections:
if sec.name == '.text':
buf_sizes = [b.nbytes for b in lowered.bufs]
# Get initial data from numpy arrays if available
buf_data = {}
for i, buf in enumerate(lowered.bufs):
if hasattr(buf, 'base') and buf.base is not None and hasattr(buf.base, '_buf'):
try: buf_data[i] = bytes(buf.base._buf)
except: pass
# Extract rsrc2 from ELF (same as ops_amd.py)
group_segment_size = image[rodata_entry:rodata_entry+4].cast("I")[0]
lds_size = ((group_segment_size + 511) // 512) & 0x1FF
code = hsa.amd_kernel_code_t.from_buffer_copy(bytes(image[rodata_entry:rodata_entry+256]) + b'\x00'*256)
rsrc2 = code.compute_pgm_rsrc2 | (lds_size << 15)
return (bytes(sec.content), tuple(lowered.prg.p.global_size), tuple(lowered.prg.p.local_size), buf_sizes, buf_data, rsrc2)
return None
except Exception as e:
print(f" Error getting kernel: {e}")
return None
TINYGRAD_TESTS = ["add", "mul", "reduce_sum", "softmax", "exp", "gelu", "matmul_small"]
def main():
import argparse
parser = argparse.ArgumentParser(description="Benchmark RDNA3 emulators")
parser.add_argument("--iterations", type=int, default=3, help="Number of iterations per benchmark")
args = parser.parse_args()
rust_remu = get_rust_remu()
if rust_remu is None:
print("Rust libremu not found. Build with: cargo build --release --manifest-path extra/remu/Cargo.toml")
print("Running Python-only benchmarks...\n")
print("=" * 90)
print("RDNA3 Emulator Benchmark: Python vs Rust")
print("=" * 90)
results = []
print("\n[TINYGRAD KERNELS]")
print("-" * 90)
for op_name in TINYGRAD_TESTS:
print(f"\n{op_name}:", end=" ", flush=True)
kernel_info = get_tinygrad_kernel(op_name)
if kernel_info is None:
print("failed to compile")
continue
kernel, global_size, local_size, buf_sizes, buf_data, rsrc2 = kernel_info
n_insts = count_instructions(kernel)
n_workgroups = global_size[0] * global_size[1] * global_size[2]
n_threads = local_size[0] * local_size[1] * local_size[2]
total_work = n_insts * n_workgroups * n_threads
print(f"{n_insts} insts × {n_workgroups} WGs × {n_threads} threads = {total_work:,} ops")
buffers, args_arr, args_ptr, ranges = setup_buffers(buf_sizes, buf_data)
set_valid_mem_ranges(ranges)
py_time = benchmark_emulator("Python", python_run_asm, kernel, global_size, local_size, args_ptr, rsrc2, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, rsrc2, args.iterations) if rust_remu else None
if py_time:
py_rate = total_work / py_time / 1e6
print(f" Python: {py_time*1000:8.3f} ms ({py_rate:7.2f} M ops/s)")
if rust_time:
rust_rate = total_work / rust_time / 1e6
speedup = py_time / rust_time if py_time else 0
print(f" Rust: {rust_time*1000:8.3f} ms ({rust_rate:7.2f} M ops/s) [{speedup:.1f}x faster]")
results.append((op_name, n_insts, n_workgroups, py_time, rust_time))
# Summary table
print("\n" + "=" * 90)
print("SUMMARY")
print("=" * 90)
print(f"{'Name':<25} {'Insts':<8} {'WGs':<6} {'Python (ms)':<14} {'Rust (ms)':<14} {'Speedup':<10}")
print("-" * 90)
for name, n_insts, n_wgs, py_time, rust_time in results:
py_ms = f"{py_time*1000:.3f}" if py_time else "error"
if rust_time:
rust_ms = f"{rust_time*1000:.3f}"
speedup = f"{py_time/rust_time:.1f}x" if py_time else "N/A"
else:
rust_ms, speedup = "N/A", "N/A"
print(f"{name:<25} {n_insts:<8} {n_wgs:<6} {py_ms:<14} {rust_ms:<14} {speedup:<10}")
if __name__ == "__main__":
main()
@@ -0,0 +1,196 @@
# Usability tests for the RDNA3 ASM DSL
# These tests demonstrate how the DSL *should* work for a good user experience
# Currently many of these tests fail - they document desired behavior
import unittest
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import Inst, RawImm, SGPR, VGPR
class TestRegisterSliceSyntax(unittest.TestCase):
"""
Issue: Register slice syntax should use AMD assembly convention (inclusive end).
In AMD assembly, s[4:7] means registers s4, s5, s6, s7 (4 registers, inclusive).
The DSL should match this convention so that:
- s[4:7] gives 4 registers
- Disassembler output can be copied directly back into DSL code
Fix: Change _RegFactory.__getitem__ to use inclusive end:
key.stop - key.start + 1 (instead of key.stop - key.start)
"""
def test_register_slice_count(self):
# s[4:7] should give 4 registers: s4, s5, s6, s7 (AMD convention, inclusive)
reg = s[4:7]
self.assertEqual(reg.count, 4, "s[4:7] should give 4 registers (s4, s5, s6, s7)")
def test_register_slice_roundtrip(self):
# Round-trip: DSL -> disasm -> DSL should preserve register count
reg = s[4:7] # 4 registers in AMD convention
inst = s_load_b128(reg, s[0:1], NULL, 0)
disasm = inst.disasm()
# Disasm shows s[4:7] - user should be able to copy this back
self.assertIn("s[4:7]", disasm)
# And s[4:7] in DSL should give the same 4 registers
reg_from_disasm = s[4:7]
self.assertEqual(reg_from_disasm.count, 4, "s[4:7] from disasm should give 4 registers")
class TestReprReadability(unittest.TestCase):
"""
Issue: repr() leaks internal RawImm type and omits zero-valued fields.
When you create v_mov_b32_e32(v[0], v[1]), the repr shows:
VOP1(op=1, src0=RawImm(257))
Problems:
1. vdst=v[0] is omitted because 0 is treated as "default"
2. src0 shows RawImm(257) instead of v[1]
3. User sees encoded values (257 = 256 + 1) instead of register names
Expected repr: VOP1(op=1, vdst=v[0], src0=v[1])
"""
def test_repr_shows_registers_not_raw_imm(self):
inst = v_mov_b32_e32(v[0], v[1])
# Should show v[1], not RawImm(257)
self.assertNotIn("RawImm", repr(inst), "repr should not expose RawImm internal type")
self.assertIn("v[1]", repr(inst), "repr should show register name")
def test_repr_includes_zero_dst(self):
inst = v_mov_b32_e32(v[0], v[1])
# v[0] is a valid destination register, should be shown
self.assertIn("vdst", repr(inst), "repr should include vdst even when 0")
def test_repr_roundtrip(self):
# repr should produce something that can be eval'd back
inst = v_mov_b32_e32(v[0], v[1])
# This would require repr to output valid Python, e.g.:
# "VOP1(op=VOP1Op.V_MOV_B32, vdst=v[0], src0=v[1])"
r = repr(inst)
# At minimum, it should be human-readable
self.assertIn("v[", r, "repr should show register syntax")
class TestInstructionEquality(unittest.TestCase):
"""
Issue: No __eq__ method - instruction comparison requires repr() workaround.
Two identical instructions should compare equal with ==, but currently:
inst1 == inst2 returns False
The test_handwritten.py works around this with:
self.assertEqual(repr(self.inst), repr(reasm))
"""
def test_identical_instructions_equal(self):
inst1 = v_mov_b32_e32(v[0], v[1])
inst2 = v_mov_b32_e32(v[0], v[1])
self.assertEqual(inst1, inst2, "identical instructions should be equal")
def test_different_instructions_not_equal(self):
inst1 = v_mov_b32_e32(v[0], v[1])
inst2 = v_mov_b32_e32(v[0], v[2])
self.assertNotEqual(inst1, inst2, "different instructions should not be equal")
class TestVOPDHelperSignature(unittest.TestCase):
"""
Issue: VOPD helper functions have confusing semantics.
v_dual_mul_f32 is defined as:
v_dual_mul_f32 = functools.partial(VOPD, VOPDOp.V_DUAL_MUL_F32)
This binds VOPDOp.V_DUAL_MUL_F32 to the FIRST positional arg of VOPD.__init__,
which is 'opx'. So v_dual_mul_f32 sets the X operation.
But then test_dual_mul in test_handwritten.py does:
v_dual_mul_f32(VOPDOp.V_DUAL_MUL_F32, vdstx=v[0], ...)
This passes V_DUAL_MUL_F32 as the SECOND positional arg (opy), making both
X and Y operations the same. This is confusing because:
1. The function name suggests it handles the X operation
2. But you still pass an opcode as the first arg (which becomes opy)
Expected: Either make the helper fully specify both ops, or make the
signature clearer about what the positional arg means.
"""
def test_vopd_helper_opy_should_be_required(self):
# Using only keyword args "works" but opy silently defaults to 0
inst = v_dual_mul_f32(vdstx=v[0], vdsty=v[1], srcx0=v[2], vsrcx1=v[3], srcy0=v[4], vsrcy1=v[5])
self.assertEqual(inst.opx, VOPDOp.V_DUAL_MUL_F32)
# Bug: opy defaults to 0 (V_DUAL_FMAC_F32) silently - should require explicit opy
# This test documents the bug - it should fail once fixed
self.assertNotEqual(inst.opy, VOPDOp.V_DUAL_FMAC_F32, "opy should not silently default to FMAC")
def test_vopd_helper_positional_arg_is_opy(self):
# The first positional arg after the partial becomes opy, not a second opx
inst = v_dual_mul_f32(VOPDOp.V_DUAL_MOV_B32, vdstx=v[0], vdsty=v[1], srcx0=v[2], vsrcx1=v[3], srcy0=v[4], vsrcy1=v[5])
self.assertEqual(inst.opx, VOPDOp.V_DUAL_MUL_F32) # From partial
self.assertEqual(inst.opy, VOPDOp.V_DUAL_MOV_B32) # From first positional arg
class TestFieldAccessPreservesType(unittest.TestCase):
"""
Issue: Field access loses type information.
After creating an instruction, accessing fields returns encoded int values:
inst = v_mov_b32_e32(v[0], v[1])
inst.vdst # returns 0, not VGPR(0)
This makes it impossible to round-trip register types through field access.
"""
def test_vdst_returns_register(self):
inst = v_mov_b32_e32(v[5], v[1])
vdst = inst.vdst
# Should return a VGPR, not an int
self.assertIsInstance(vdst, (VGPR, int), "vdst should return VGPR or at least be usable")
# Ideally: self.assertIsInstance(vdst, VGPR)
def test_src_returns_register_for_vgpr_source(self):
inst = v_mov_b32_e32(v[0], v[1])
# src0 is encoded as 257 (256 + 1 for v1)
# Ideally it should decode back to v[1]
src0_raw = inst._values.get('src0')
# Currently returns RawImm(257), should return VGPR(1) or similar
self.assertNotIsInstance(src0_raw, RawImm, "source should not be RawImm internally")
class TestArgumentDiscoverability(unittest.TestCase):
"""
Issue: No clear signature for positional arguments.
inspect.signature(s_load_b128) shows: (*args, literal=None, **kwargs)
Users have no way to know the argument order without reading source code.
The order is implicitly defined by the class field definition order.
Possible fixes:
1. Add explicit parameter names to functools.partial
2. Generate type stubs with proper signatures
3. Add docstrings listing the expected arguments
"""
def test_signature_has_named_params(self):
import inspect
sig = inspect.signature(s_load_b128)
params = list(sig.parameters.keys())
# Currently: ['args', 'literal', 'kwargs'] (from *args, literal=None, **kwargs)
# Expected: something like ['sdata', 'sbase', 'soffset', 'offset', 'literal']
self.assertIn('sdata', params, "signature should show field names")
class TestSpecialConstants(unittest.TestCase):
"""
Issue: NULL and other constants are IntEnum values that might be confusing.
NULL = SrcEnum.NULL = 124, but users might expect NULL to be a special object
that clearly represents "no register" rather than a magic number.
"""
def test_null_has_clear_repr(self):
# NULL should have a clear string representation
self.assertIn("NULL", str(NULL) or repr(NULL), "NULL should be clearly identifiable")
def test_null_is_distinguishable_from_int(self):
# NULL should be distinguishable from the raw integer 124
self.assertNotEqual(type(NULL), int, "NULL should not be plain int")
if __name__ == "__main__":
unittest.main()
+66
View File
@@ -0,0 +1,66 @@
"""Shared test helpers for RDNA3 tests."""
import shutil
from dataclasses import dataclass
@dataclass
class KernelInfo:
code: bytes
global_size: tuple[int, int, int]
local_size: tuple[int, int, int]
buf_idxs: list[int] # indices into shared buffer pool
buf_sizes: list[int] # sizes for each buffer index
# LLVM tool detection (shared across test files)
def get_llvm_mc():
"""Find llvm-mc executable, preferring newer versions."""
for p in ['llvm-mc', 'llvm-mc-21', 'llvm-mc-20']:
if shutil.which(p): return p
raise FileNotFoundError("llvm-mc not found")
def get_llvm_objdump():
"""Find llvm-objdump executable, preferring newer versions."""
for p in ['llvm-objdump', 'llvm-objdump-21', 'llvm-objdump-20']:
if shutil.which(p): return p
raise FileNotFoundError("llvm-objdump not found")
# ═══════════════════════════════════════════════════════════════════════════════
# EXECUTION CONTEXT (for testing compiled pseudocode)
# ═══════════════════════════════════════════════════════════════════════════════
class ExecContext:
"""Context for running compiled pseudocode in tests."""
def __init__(self, s0=0, s1=0, s2=0, d0=0, scc=0, vcc=0, lane=0, exec_mask=0xffffffff, literal=0, vgprs=None, src0_idx=0, vdst_idx=0):
from extra.assembly.amd.pcode import Reg, MASK32, MASK64, TypedView
self._Reg, self._MASK64, self._TypedView = Reg, MASK64, TypedView
self.S0, self.S1, self.S2 = Reg(s0), Reg(s1), Reg(s2)
self.D0, self.D1 = Reg(d0), Reg(0)
self.SCC, self.VCC, self.EXEC = Reg(scc), Reg(vcc), Reg(exec_mask)
self.tmp, self.saveexec = Reg(0), Reg(exec_mask)
self.lane, self.laneId, self.literal = lane, lane, literal
self.SIMM16, self.SIMM32 = Reg(literal), Reg(literal)
self.VGPR = vgprs if vgprs is not None else {}
self.SRC0, self.VDST = Reg(src0_idx), Reg(vdst_idx)
def run(self, code: str):
"""Execute compiled code."""
import extra.assembly.amd.pcode as pcode
ns = {k: getattr(pcode, k) for k in dir(pcode) if not k.startswith('_')}
# Also include underscore-prefixed helpers that compiled pseudocode uses
for k in ['_pack', '_pack32']:
if hasattr(pcode, k): ns[k] = getattr(pcode, k)
ns.update({
'S0': self.S0, 'S1': self.S1, 'S2': self.S2, 'D0': self.D0, 'D1': self.D1,
'SCC': self.SCC, 'VCC': self.VCC, 'EXEC': self.EXEC,
'EXEC_LO': self._TypedView(self.EXEC, 31, 0), 'EXEC_HI': self._TypedView(self.EXEC, 63, 32),
'tmp': self.tmp, 'saveexec': self.saveexec,
'lane': self.lane, 'laneId': self.laneId, 'literal': self.literal,
'SIMM16': self.SIMM16, 'SIMM32': self.SIMM32, 'VGPR': self.VGPR, 'SRC0': self.SRC0, 'VDST': self.VDST,
})
exec(code, ns)
def _sync(ctx_reg, ns_val):
if isinstance(ns_val, self._Reg): ctx_reg._val = ns_val._val
else: ctx_reg._val = int(ns_val) & self._MASK64
for name in ('SCC', 'VCC', 'EXEC', 'D0', 'D1', 'tmp', 'saveexec'):
if ns.get(name) is not getattr(self, name): _sync(getattr(self, name), ns[name])
def result(self) -> dict: return {"d0": self.D0._val, "scc": self.SCC._val & 1}
@@ -1,25 +1,14 @@
"""Test infrastructure for hardware-validated RDNA3 emulator tests.
Uses run_asm() with memory output, so tests can run on both emulator and real hardware.
Set USE_HW=1 to run on both emulator and hardware, comparing results.
Set USE_HW=1 to run on both emulator and real hardware, comparing results.
"""
import ctypes, math, os, struct
from tinygrad.runtime.autogen.amd.rdna3.ins import *
import ctypes, os, struct
from extra.assembly.amd.autogen.rdna3.ins import *
from test.mockgpu.amd.emu import run_asm
from tinygrad.renderer.amd.dsl import NULL, SCC, VCC_LO, VCC_HI, EXEC_LO, EXEC_HI, M0
def _i32(f: float) -> int: return struct.unpack('<I', struct.pack('<f', f))[0]
def _f32(i: int) -> float: return struct.unpack('<f', struct.pack('<I', i & 0xFFFFFFFF))[0]
# f16 conversion helpers
def f16(i: int) -> float: return struct.unpack('<e', struct.pack('<H', i & 0xFFFF))[0]
def f32_to_f16(f: float) -> int:
f = float(f)
if math.isnan(f): return 0x7e00
if math.isinf(f): return 0x7c00 if f > 0 else 0xfc00
try: return struct.unpack('<H', struct.pack('<e', f))[0]
except OverflowError: return 0x7c00 if f > 0 else 0xfc00
from extra.assembly.amd.emu import WaveState, run_asm, set_valid_mem_ranges
from extra.assembly.amd.dsl import NULL, SCC, VCC_LO, VCC_HI, EXEC_LO, EXEC_HI, M0
from extra.assembly.amd.pcode import _i32, _f32
# For backwards compatibility with tests using SrcEnum.NULL etc.
class SrcEnum:
@@ -43,29 +32,11 @@ VCC = VCC_LO # For VOP3SD sdst field (VCC_LO is exported from dsl)
USE_HW = os.environ.get("USE_HW", "0") == "1"
FLOAT_TOLERANCE = 1e-5
def get_gpu_target() -> tuple[int, int, int]:
"""Get the GPU target as (major, minor, stepping) tuple."""
if not USE_HW: return (0, 0, 0)
from tinygrad.device import Device
return Device["AMD"].target # type: ignore[attr-defined]
def skip_unless_gfx(min_major: int, min_minor: int = 0, reason: str = ""):
"""Skip test if GPU target is below the minimum required version."""
import unittest
def decorator(test_func):
if not USE_HW: return test_func
target = get_gpu_target()
if target[0] < min_major or (target[0] == min_major and target[1] < min_minor):
return unittest.skip(reason or f"requires gfx{min_major}{min_minor}0+")(test_func)
return test_func
return decorator
# Output buffer layout: vgpr[N_VGPRS][n_lanes], sgpr[N_SGPRS], vcc, scc, exec
# Output buffer layout: vgpr[16][32], sgpr[16], vcc, scc
N_VGPRS, N_SGPRS, WAVE_SIZE = 16, 16, 32
VGPR_BYTES = N_VGPRS * WAVE_SIZE * 4 # 16 regs * 32 lanes * 4 bytes = 2048
SGPR_BYTES = N_SGPRS * 4 # 16 regs * 4 bytes = 64
_VGPR_REGION = N_VGPRS * WAVE_SIZE * 4 # minimum vgpr region size (tests may use as scratch)
def _out_bytes(n_lanes: int) -> int: return max(N_VGPRS * n_lanes * 4, _VGPR_REGION) + SGPR_BYTES + 12
OUT_BYTES = _out_bytes(WAVE_SIZE) # default for single-wave (backward compat)
OUT_BYTES = VGPR_BYTES + SGPR_BYTES + 8 # + vcc + scc
# Float conversion helpers
def f2i(f: float) -> int: return _i32(f)
@@ -76,14 +47,6 @@ def i642f(i: int) -> float: return struct.unpack('<d', struct.pack('<Q', i))[0]
def assemble(instructions: list) -> bytes:
return b''.join(inst.to_bytes() for inst in instructions)
# Simple WaveState class for test output parsing (mirrors test/mockgpu/amd/emu.py interface for tests)
class WaveState:
def __init__(self, n_lanes: int = 32):
self.vgpr = [[0] * 256 for _ in range(n_lanes)] # vgpr[lane][reg]
self.sgpr = [0] * 128
self.vcc = 0
self.scc = 0
def get_prologue_epilogue(n_lanes: int) -> tuple[list, list]:
"""Generate prologue and epilogue instructions for state capture."""
prologue = [
@@ -100,56 +63,43 @@ def get_prologue_epilogue(n_lanes: int) -> tuple[list, list]:
epilogue = [
s_mov_b32(s[90], VCC_LO),
s_cselect_b32(s[91], 1, 0),
# Save EXEC early (before we modify it for VGPR stores)
s_mov_b32(s[95], EXEC_LO),
# Restore EXEC to all active lanes for VGPR stores (test may have modified EXEC)
s_mov_b32(EXEC_LO, (1 << min(n_lanes, WAVE_SIZE)) - 1),
s_load_b64(s[92:93], s[80:81], 0, soffset=NULL),
s_waitcnt(0), # simm16=0 waits for all
v_lshlrev_b32_e32(v[240], 2, v[255]),
]
vgpr_bytes = N_VGPRS * n_lanes * 4
for i in range(N_VGPRS):
epilogue.append(global_store_b32(addr=v[240], data=v[i], saddr=s[92:93], offset=i * n_lanes * 4))
epilogue.append(global_store_b32(addr=v[240], data=v[i], saddr=s[92:93], offset=i * WAVE_SIZE * 4))
epilogue.append(v_mov_b32_e32(v[241], 0))
epilogue.append(v_cmp_eq_u32_e32(v[255], v[241]))
epilogue.append(s_and_saveexec_b32(s[94], VCC_LO))
# Scalar stores: only thread 0. Use v[240]=vgpr_bytes as base offset so immediate offsets stay small.
epilogue.append(v_mov_b32_e32(v[240], vgpr_bytes))
epilogue.append(v_mov_b32_e32(v[240], 0))
for i in range(N_SGPRS):
epilogue.append(v_mov_b32_e32(v[243], s[i]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=i * 4))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + i * 4))
epilogue.append(v_mov_b32_e32(v[243], s[90]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=SGPR_BYTES))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + SGPR_BYTES))
epilogue.append(v_mov_b32_e32(v[243], s[91]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=SGPR_BYTES + 4))
# Store EXEC (saved earlier in s[95])
epilogue.append(v_mov_b32_e32(v[243], s[95]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=SGPR_BYTES + 8))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + SGPR_BYTES + 4))
epilogue.append(s_mov_b32(EXEC_LO, s[94]))
epilogue.append(s_endpgm())
return prologue, epilogue
def parse_output(out_buf: bytes, n_lanes: int) -> WaveState:
"""Parse output buffer into WaveState."""
vgpr_bytes = N_VGPRS * n_lanes * 4
st = WaveState(n_lanes)
st = WaveState()
for i in range(N_VGPRS):
for lane in range(n_lanes):
off = i * n_lanes * 4 + lane * 4
off = i * WAVE_SIZE * 4 + lane * 4
st.vgpr[lane][i] = struct.unpack_from('<I', out_buf, off)[0]
for i in range(N_SGPRS):
st.sgpr[i] = struct.unpack_from('<I', out_buf, vgpr_bytes + i * 4)[0]
st.vcc = struct.unpack_from('<I', out_buf, vgpr_bytes + SGPR_BYTES)[0]
st.scc = struct.unpack_from('<I', out_buf, vgpr_bytes + SGPR_BYTES + 4)[0]
# Store EXEC in its proper location (index 126)
st.sgpr[EXEC_LO.offset] = struct.unpack_from('<I', out_buf, vgpr_bytes + SGPR_BYTES + 8)[0]
st.sgpr[i] = struct.unpack_from('<I', out_buf, VGPR_BYTES + i * 4)[0]
st.vcc = struct.unpack_from('<I', out_buf, VGPR_BYTES + SGPR_BYTES)[0]
st.scc = struct.unpack_from('<I', out_buf, VGPR_BYTES + SGPR_BYTES + 4)[0]
return st
def run_program_emu(instructions: list, n_lanes: int = 1) -> WaveState:
"""Run instructions via emulator run_asm, dump state to memory, return WaveState."""
buf_sz = _out_bytes(n_lanes)
out_buf = (ctypes.c_uint8 * buf_sz)(*([0] * buf_sz))
out_buf = (ctypes.c_uint8 * OUT_BYTES)(*([0] * OUT_BYTES))
out_addr = ctypes.addressof(out_buf)
prologue, epilogue = get_prologue_epilogue(n_lanes)
@@ -160,10 +110,10 @@ def run_program_emu(instructions: list, n_lanes: int = 1) -> WaveState:
kernel_buf = (ctypes.c_char * len(code)).from_buffer_copy(code)
lib_ptr = ctypes.addressof(kernel_buf)
set_valid_mem_ranges({(out_addr, OUT_BYTES), (args_ptr, 8)})
# rsrc2: USER_SGPR_COUNT=2, ENABLE_SGPR_WORKGROUP_ID_X/Y/Z=1, LDS_SIZE=128 (64KB)
rsrc2 = 0x19c | (128 << 15)
scratch_size = 0x10000 # 64KB per lane, matches .amdhsa_private_segment_fixed_size in run_program_hw
result = run_asm(lib_ptr, len(code), 1, 1, 1, n_lanes, 1, 1, args_ptr, rsrc2, scratch_size)
result = run_asm(lib_ptr, len(code), 1, 1, 1, n_lanes, 1, 1, args_ptr, rsrc2)
assert result == 0, f"run_asm failed with {result}"
return parse_output(bytes(out_buf), n_lanes)
@@ -176,7 +126,7 @@ def run_program_hw(instructions: list, n_lanes: int = 1) -> WaveState:
from tinygrad.helpers import flat_mv
dev = Device["AMD"]
compiler = HIPCompiler(dev.arch) # type: ignore[attr-defined]
compiler = HIPCompiler(dev.arch)
prologue, epilogue = get_prologue_epilogue(n_lanes)
code = assemble(prologue + instructions + epilogue)
@@ -198,8 +148,6 @@ test:
.amdhsa_user_sgpr_kernarg_segment_ptr 1
.amdhsa_kernarg_size 8
.amdhsa_group_segment_fixed_size 65536
.amdhsa_private_segment_fixed_size 65536
.amdhsa_enable_private_segment 1
.end_amdhsa_kernel
.amdgpu_metadata
@@ -212,7 +160,7 @@ amdhsa.kernels:
.symbol: test.kd
.kernarg_segment_size: 8
.group_segment_fixed_size: 65536
.private_segment_fixed_size: 65536
.private_segment_fixed_size: 0
.kernarg_segment_align: 8
.wavefront_size: 32
.sgpr_count: 96
@@ -223,24 +171,18 @@ amdhsa.kernels:
"""
lib = compiler.compile(asm_src)
prg = AMDProgram(dev, "test", lib) # type: ignore[arg-type]
prg = AMDProgram(dev, "test", lib)
buf_sz = _out_bytes(n_lanes)
out_gpu = dev.allocator.alloc(buf_sz)
assert out_gpu.va_addr % 16 == 0, f"buffer not 16-byte aligned: 0x{out_gpu.va_addr:x}"
out_gpu = dev.allocator.alloc(OUT_BYTES)
prg(out_gpu, global_size=(1, 1, 1), local_size=(n_lanes, 1, 1), wait=True)
out_buf = bytearray(buf_sz)
out_buf = bytearray(OUT_BYTES)
dev.allocator._copyout(flat_mv(memoryview(out_buf)), out_gpu)
return parse_output(bytes(out_buf), n_lanes)
def compare_wave_states(emu_st: WaveState, hw_st: WaveState, n_lanes: int, n_vgprs: int = N_VGPRS, ulp_tolerance: int = 0) -> list[str]:
"""Compare two WaveStates and return list of differences.
Args:
ulp_tolerance: Allow up to this many ULPs difference for float comparisons (0 = exact match required)
"""
def compare_wave_states(emu_st: WaveState, hw_st: WaveState, n_lanes: int, n_vgprs: int = N_VGPRS) -> list[str]:
"""Compare two WaveStates and return list of differences."""
import math
diffs = []
for i in range(n_vgprs):
@@ -251,11 +193,6 @@ def compare_wave_states(emu_st: WaveState, hw_st: WaveState, n_lanes: int, n_vgp
emu_f, hw_f = _f32(emu_val), _f32(hw_val)
if math.isnan(emu_f) and math.isnan(hw_f):
continue
# Check ULP difference for floats (only for same-sign values)
if ulp_tolerance > 0 and (emu_val < 0x80000000) == (hw_val < 0x80000000):
ulp_diff = abs(int(emu_val) - int(hw_val))
if ulp_diff <= ulp_tolerance:
continue
diffs.append(f"v[{i}] lane {lane}: emu=0x{emu_val:08x} ({emu_f:.6g}) hw=0x{hw_val:08x} ({hw_f:.6g})")
for i in range(N_SGPRS):
emu_val = emu_st.sgpr[i]
@@ -268,20 +205,17 @@ def compare_wave_states(emu_st: WaveState, hw_st: WaveState, n_lanes: int, n_vgp
diffs.append(f"scc: emu={emu_st.scc} hw={hw_st.scc}")
return diffs
def run_program(instructions: list, n_lanes: int = 1, ulp_tolerance: int = 0) -> WaveState:
def run_program(instructions: list, n_lanes: int = 1) -> WaveState:
"""Run instructions and return WaveState.
If USE_HW=1, runs on both emulator and hardware, compares results, and raises if they differ.
Otherwise, runs only on emulator.
Args:
ulp_tolerance: Allow up to this many ULPs difference for float comparisons (0 = exact match required)
"""
emu_st = run_program_emu(instructions, n_lanes)
if USE_HW:
hw_st = run_program_hw(instructions, n_lanes)
diffs = compare_wave_states(emu_st, hw_st, n_lanes, ulp_tolerance=ulp_tolerance)
diffs = compare_wave_states(emu_st, hw_st, n_lanes)
if diffs:
raise AssertionError("Emulator vs Hardware mismatch:\n" + "\n".join(diffs))
raise AssertionError(f"Emulator vs Hardware mismatch:\n" + "\n".join(diffs))
return hw_st
return emu_st
@@ -5,7 +5,7 @@ Includes: ds_store_b32, ds_load_b32, ds_store_2addr_*, ds_load_2addr_*,
ds_inc_*, ds_dec_*, ds_cmpstore_*, ds_storexchg_*
"""
import unittest
from test.amd.hw.helpers import *
from extra.assembly.amd.test.hw.helpers import *
class TestDS2Addr(unittest.TestCase):
"""Tests for DS_*_2ADDR instructions."""
@@ -138,100 +138,6 @@ class TestDS2AddrMore(unittest.TestCase):
self.assertEqual(st.vgpr[0][4], 0x12345678, "v4 should be untouched")
class TestDSB96(unittest.TestCase):
"""Tests for DS_STORE_B96 and DS_LOAD_B96 (96-bit / 3 dwords)."""
def test_ds_store_load_b96(self):
"""DS_STORE_B96 stores 3 VGPRs, DS_LOAD_B96 loads them back."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0x33333333),
v_mov_b32_e32(v[2], s[0]),
ds_store_b96(addr=v[10], data0=v[0:2]),
s_waitcnt(lgkmcnt=0),
ds_load_b96(addr=v[10], vdst=v[4:6]),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0x11111111, "v4 should have first dword")
self.assertEqual(st.vgpr[0][5], 0x22222222, "v5 should have second dword")
self.assertEqual(st.vgpr[0][6], 0x33333333, "v6 should have third dword")
def test_ds_store_b96_with_offset(self):
"""DS_STORE_B96 with non-zero offset."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0xCCCCCCCC),
v_mov_b32_e32(v[2], s[0]),
DS(DSOp.DS_STORE_B96, addr=v[10], data0=v[0:2], offset0=12),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_B96, addr=v[10], vdst=v[4:6], offset0=12),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][5], 0xBBBBBBBB)
self.assertEqual(st.vgpr[0][6], 0xCCCCCCCC)
class TestDSB128(unittest.TestCase):
"""Tests for DS_STORE_B128 and DS_LOAD_B128 (128-bit / 4 dwords)."""
def test_ds_store_load_b128(self):
"""DS_STORE_B128 stores 4 VGPRs, DS_LOAD_B128 loads them back."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0x33333333),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x44444444),
v_mov_b32_e32(v[3], s[0]),
ds_store_b128(addr=v[10], data0=v[0:3]),
s_waitcnt(lgkmcnt=0),
ds_load_b128(addr=v[10], vdst=v[4:7]),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0x11111111, "v4 should have first dword")
self.assertEqual(st.vgpr[0][5], 0x22222222, "v5 should have second dword")
self.assertEqual(st.vgpr[0][6], 0x33333333, "v6 should have third dword")
self.assertEqual(st.vgpr[0][7], 0x44444444, "v7 should have fourth dword")
def test_ds_store_b128_with_offset(self):
"""DS_STORE_B128 with non-zero offset."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0xCCCCCCCC),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xDDDDDDDD),
v_mov_b32_e32(v[3], s[0]),
DS(DSOp.DS_STORE_B128, addr=v[10], data0=v[0:3], offset0=16),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_B128, addr=v[10], vdst=v[4:7], offset0=16),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][5], 0xBBBBBBBB)
self.assertEqual(st.vgpr[0][6], 0xCCCCCCCC)
self.assertEqual(st.vgpr[0][7], 0xDDDDDDDD)
class TestDSAtomic(unittest.TestCase):
"""Tests for DS atomic operations."""
@@ -601,6 +507,7 @@ class TestDS2AddrStride64(unittest.TestCase):
self.assertEqual(st.vgpr[0][6], 0xAAAAAAAA, "new val 0")
self.assertEqual(st.vgpr[0][7], 0xBBBBBBBB, "new val 1")
def test_ds_storexchg_rtn_b64(self):
"""DS_STOREXCHG_RTN_B64: exchange 64-bit value and return old."""
instructions = [
@@ -718,152 +625,5 @@ class TestAtomicOrdering(unittest.TestCase):
self.assertEqual(st.vgpr[0][4], 150, "Final value should be 150")
class TestDsPermute(unittest.TestCase):
"""Tests for DS_PERMUTE_B32 and DS_BPERMUTE_B32 instructions."""
def test_ds_permute_b32_identity(self):
"""DS_PERMUTE_B32 with identity permutation (lane 0 sends to lane 0)."""
# For simplicity, test with single lane
instructions = [
v_mov_b32_e32(v[0], 0), # addr = 0 (lane 0)
v_mov_b32_e32(v[1], 0xDEADBEEF), # data
ds_permute_b32(v[2], v[0], v[1]),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
# Lane 0 sends to lane 0, so lane 0 gets 0xDEADBEEF
self.assertEqual(st.vgpr[0][2], 0xDEADBEEF)
def test_ds_bpermute_b32_identity(self):
"""DS_BPERMUTE_B32 with identity permutation (each lane reads from itself)."""
instructions = [
v_mov_b32_e32(v[0], 0), # addr = 0 (read from lane 0)
v_mov_b32_e32(v[1], 0xCAFEBABE), # data in lane 0
ds_bpermute_b32(v[2], v[0], v[1]),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
# Lane 0 reads from lane 0's v[1]
self.assertEqual(st.vgpr[0][2], 0xCAFEBABE)
def test_ds_permute_b32_broadcast(self):
"""DS_PERMUTE_B32 broadcast - all lanes send to lane 0."""
# With 4 lanes, all sending to lane 0, highest lane wins
instructions = [
v_mov_b32_e32(v[0], 0), # All lanes send to addr 0 (lane 0)
v_mov_b32_e32(v[1], 0x11111111), # All lanes send same data
ds_permute_b32(v[2], v[0], v[1]),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=4)
# Lane 0 receives data (highest numbered active lane wins)
self.assertEqual(st.vgpr[0][2], 0x11111111)
class TestDSLargeOffset(unittest.TestCase):
"""Tests for DS instructions with offsets > 255 (offset1 > 0).
The DS offset is a 16-bit value encoded as (offset1 << 8) | offset0.
These tests verify that offset1 is used correctly, not just offset0.
"""
def test_ds_store_load_b32_offset_256(self):
"""DS_STORE_B32/DS_LOAD_B32 with offset=256 (offset0=0, offset1=1)."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[0], s[0]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0, offset1=1), # offset = 256
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[1], offset0=0, offset1=1), # offset = 256
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xDEADBEEF)
def test_ds_store_load_b32_offset_300(self):
"""DS_STORE_B32/DS_LOAD_B32 with offset=300 (offset0=44, offset1=1)."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[0], s[0]),
ds_store_b32(addr=v[10], data0=v[0], offset0=44, offset1=1), # offset = 300
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[1], offset0=44, offset1=1), # offset = 300
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xCAFEBABE)
def test_ds_store_load_b64_offset_512(self):
"""DS_STORE_B64/DS_LOAD_B64 with offset=512 (offset0=0, offset1=2)."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
ds_store_b64(addr=v[10], data0=v[0:1], offset0=0, offset1=2), # offset = 512
s_waitcnt(lgkmcnt=0),
ds_load_b64(addr=v[10], vdst=v[2:3], offset0=0, offset1=2), # offset = 512
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x11111111)
self.assertEqual(st.vgpr[0][3], 0x22222222)
def test_ds_large_offset_distinct_from_small(self):
"""Verify offset=256 and offset=0 address different LDS locations."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
# Store 0xAAAAAAAA at offset=0, 0xBBBBBBBB at offset=256
ds_store_b32(addr=v[10], data0=v[0], offset0=0, offset1=0), # offset = 0
ds_store_b32(addr=v[10], data0=v[1], offset0=0, offset1=1), # offset = 256
s_waitcnt(lgkmcnt=0),
# Read back both
ds_load_b32(addr=v[10], vdst=v[2], offset0=0, offset1=0), # offset = 0
ds_load_b32(addr=v[10], vdst=v[3], offset0=0, offset1=1), # offset = 256
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA, "offset=0 should read 0xAAAAAAAA")
self.assertEqual(st.vgpr[0][3], 0xBBBBBBBB, "offset=256 should read 0xBBBBBBBB")
def test_ds_store_load_b32_offset_448(self):
"""DS_STORE_B32/DS_LOAD_B32 with offset=448 (offset0=192, offset1=1) - matches matmul B tile."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x12345678),
v_mov_b32_e32(v[0], s[0]),
ds_store_b32(addr=v[10], data0=v[0], offset0=192, offset1=1), # offset = 448
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[1], offset0=192, offset1=1), # offset = 448
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x12345678)
def test_ds_load_b64_offset_392(self):
"""DS_LOAD_B64 with offset=392 (offset0=136, offset1=1) - matches matmul B tile load."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAABBCCDD),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x11223344),
v_mov_b32_e32(v[1], s[0]),
ds_store_b64(addr=v[10], data0=v[0:1], offset0=136, offset1=1), # offset = 392
s_waitcnt(lgkmcnt=0),
ds_load_b64(addr=v[10], vdst=v[2:3], offset0=136, offset1=1), # offset = 392
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAABBCCDD)
self.assertEqual(st.vgpr[0][3], 0x11223344)
if __name__ == '__main__':
unittest.main()
@@ -3,7 +3,7 @@
Includes: flat_load_*, flat_store_*, flat_atomic_*
"""
import unittest
from test.amd.hw.helpers import *
from extra.assembly.amd.test.hw.helpers import *
class TestFlatAtomic(unittest.TestCase):
"""Tests for FLAT atomic instructions."""
@@ -3,7 +3,7 @@
Includes: global_load_*, global_store_*, global_atomic_*, global_load_d16_*
"""
import unittest
from test.amd.hw.helpers import *
from extra.assembly.amd.test.hw.helpers import *
class TestGlobalAtomic(unittest.TestCase):
"""Tests for GLOBAL atomic instructions."""
@@ -128,169 +128,6 @@ class TestGlobalLoad(unittest.TestCase):
class TestGlobalStore(unittest.TestCase):
"""Tests for GLOBAL store instructions."""
def test_global_store_b8_basic(self):
"""GLOBAL_STORE_B8 stores a single byte from VDATA[7:0]."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
# First store 0xDEADBEEF to memory
s_mov_b32(s[4], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
# Now store single byte 0x42 to same address (should only change byte 0)
v_mov_b32_e32(v[2], 0x42),
global_store_b8(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
# Read back and check
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
# Only byte 0 should change from 0xEF to 0x42
self.assertEqual(st.vgpr[0][0], 0xDEADBE42, "Only byte 0 should be modified")
def test_global_store_b8_byte1(self):
"""GLOBAL_STORE_B8 at offset+1 stores to byte 1."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[2], 0x42),
global_store_b8(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET+1),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xDEAD42EF, "Only byte 1 should be modified")
def test_global_store_b16_basic(self):
"""GLOBAL_STORE_B16 stores a 16-bit value from VDATA[15:0]."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0xCAFE),
v_mov_b32_e32(v[2], s[4]),
global_store_b16(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xDEADCAFE, "Only lower 16 bits should be modified")
def test_global_store_b16_high_half(self):
"""GLOBAL_STORE_B16 at offset+2 stores to high 16 bits."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0xCAFE),
v_mov_b32_e32(v[2], s[4]),
global_store_b16(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET+2),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xCAFEBEEF, "Only upper 16 bits should be modified")
def test_global_store_b16_byte_offset_1(self):
"""GLOBAL_STORE_B16 at byte offset 1 stores bytes 1-2 within the same word."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xDDCCBBAA),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
# Store 0xBEEF at byte offset 1 (bytes 1-2)
s_mov_b32(s[4], 0xBEEF),
v_mov_b32_e32(v[2], s[4]),
global_store_b16(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET+1),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
# Bytes 1-2 should be 0xBEEF (0xEF at byte 1, 0xBE at byte 2)
# Original: 0xDDCCBBAA -> bytes [AA, BB, CC, DD]
# After: 0xDDBEEFAA -> bytes [AA, EF, BE, DD]
self.assertEqual(st.vgpr[0][0], 0xDDBEEFAA, "Bytes 1-2 should be 0xBEEF")
def test_global_store_b16_cross_word_boundary(self):
"""GLOBAL_STORE_B16 at byte offset 3 crosses word boundary (byte 3 of word N, byte 0 of word N+1)."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
# Initialize two consecutive words
s_mov_b32(s[4], 0xDDCCBBAA),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_mov_b32(s[4], 0x44332211),
v_mov_b32_e32(v[2], s[4]),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET+4),
s_waitcnt(vmcnt=0),
# Store 0xBEEF at byte offset 3 (crosses word boundary)
# Low byte (0xEF) goes to byte 3 of first word
# High byte (0xBE) goes to byte 0 of second word
s_mov_b32(s[4], 0xBEEF),
v_mov_b32_e32(v[2], s[4]),
global_store_b16(addr=v[0], data=v[2], saddr=s[2:3], offset=TEST_OFFSET+3),
s_waitcnt(vmcnt=0),
# Load back both words
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[4], data=v[4], saddr=s[2:3], offset=TEST_OFFSET+4),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
v_mov_b32_e32(v[1], v[4]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
# First word: 0xDDCCBBAA -> 0xEFCCBBAA (byte 3 becomes 0xEF)
# Second word: 0x44332211 -> 0x443322BE (byte 0 becomes 0xBE)
self.assertEqual(st.vgpr[0][0], 0xEFCCBBAA, "Byte 3 of first word should be 0xEF")
self.assertEqual(st.vgpr[0][1], 0x443322BE, "Byte 0 of second word should be 0xBE")
def test_global_store_b64_basic(self):
"""GLOBAL_STORE_B64 stores 8 bytes from v[n:n+1] to memory."""
TEST_OFFSET = 256
@@ -523,157 +360,5 @@ class TestD16HiLoads(unittest.TestCase):
self.assertEqual(byte5, 0x00, f"byte5: expected 0x00, got 0x{byte5:02x}")
class TestGlobalOffset(unittest.TestCase):
"""Tests for GLOBAL instructions with different offsets.
These tests verify that instruction deduplication correctly handles different offset values.
If offset is made dynamic incorrectly, instructions with different offsets may load/store wrong data.
"""
def test_global_load_different_offsets(self):
"""Load from two different offsets and verify correct values."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
# Store 0xAAAAAAAA at offset 100
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=100),
# Store 0xBBBBBBBB at offset 200
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=200),
s_waitcnt(vmcnt=0),
# Load from offset 100 -> should get 0xAAAAAAAA
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0:1], vdst=v[3], saddr=SrcEnum.NULL, offset=100),
# Load from offset 200 -> should get 0xBBBBBBBB
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0:1], vdst=v[4], saddr=SrcEnum.NULL, offset=200),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
v_mov_b32_e32(v[1], v[4]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xAAAAAAAA, f"offset 100: expected 0xAAAAAAAA, got 0x{st.vgpr[0][0]:08x}")
self.assertEqual(st.vgpr[0][1], 0xBBBBBBBB, f"offset 200: expected 0xBBBBBBBB, got 0x{st.vgpr[0][1]:08x}")
def test_global_store_different_offsets(self):
"""Store to two different offsets and verify correct values."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
# Store 0x11111111 at offset 300
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=300),
# Store 0x22222222 at offset 400
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[3], s[0]),
global_store_b32(addr=v[0:1], data=v[3], saddr=SrcEnum.NULL, offset=400),
s_waitcnt(vmcnt=0),
# Load back to verify
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0:1], vdst=v[4], saddr=SrcEnum.NULL, offset=300),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0:1], vdst=v[5], saddr=SrcEnum.NULL, offset=400),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[4]),
v_mov_b32_e32(v[1], v[5]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0x11111111, f"offset 300: expected 0x11111111, got 0x{st.vgpr[0][0]:08x}")
self.assertEqual(st.vgpr[0][1], 0x22222222, f"offset 400: expected 0x22222222, got 0x{st.vgpr[0][1]:08x}")
def test_global_negative_offset_no_saddr(self):
"""Test negative offset without saddr (VGPR pair for address).
Store 0xAAAA at offset 100, 0xBBBB at offset 200.
Load with offset -100 from vaddr pointing to base+200 -> should get 0xAAAA (at 100).
Load with offset -100 from vaddr pointing to base+300 -> should get 0xBBBB (at 200)."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
# Store 0xAAAAAAAA at offset 100, 0xBBBBBBBB at offset 200
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=100),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=200),
s_waitcnt(vmcnt=0),
# vaddr = base+200, load with offset -100 -> should get value at 100
s_add_u32(s[4], s[2], 200),
s_addc_u32(s[5], s[3], 0),
v_mov_b32_e32(v[4], s[4]),
v_mov_b32_e32(v[5], s[5]),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[4:5], vdst=v[6], saddr=SrcEnum.NULL, offset=-100),
# vaddr = base+300, load with offset -100 -> should get value at 200
s_add_u32(s[4], s[2], 300),
s_addc_u32(s[5], s[3], 0),
v_mov_b32_e32(v[4], s[4]),
v_mov_b32_e32(v[5], s[5]),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[4:5], vdst=v[7], saddr=SrcEnum.NULL, offset=-100),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[6]),
v_mov_b32_e32(v[1], v[7]),
v_mov_b32_e32(v[4], 0),
v_mov_b32_e32(v[5], 0),
v_mov_b32_e32(v[6], 0),
v_mov_b32_e32(v[7], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
s_mov_b32(s[4], 0),
s_mov_b32(s[5], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xAAAAAAAA, f"offset 200-100=100: expected 0xAAAAAAAA, got 0x{st.vgpr[0][0]:08x}")
self.assertEqual(st.vgpr[0][1], 0xBBBBBBBB, f"offset 300-100=200: expected 0xBBBBBBBB, got 0x{st.vgpr[0][1]:08x}")
def test_global_negative_offset_with_saddr(self):
"""Test negative offset with saddr (SGPR pair for base address).
Store 0xAAAA at offset 100, 0xBBBB at offset 200.
Load with offset -100 from saddr pointing to base+200 -> should get 0xAAAA (at 100).
Load with offset -100 from saddr pointing to base+300 -> should get 0xBBBB (at 200)."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], 0),
# Store 0xAAAAAAAA at offset 100, 0xBBBBBBBB at offset 200
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=100),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0], data=v[2], saddr=s[2:3], offset=200),
s_waitcnt(vmcnt=0),
# saddr = base+200, load with offset -100 -> should get value at 100
s_add_u32(s[4], s[2], 200),
s_addc_u32(s[5], s[3], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[6], saddr=s[4:5], offset=-100),
# saddr = base+300, load with offset -100 -> should get value at 200
s_add_u32(s[4], s[2], 300),
s_addc_u32(s[5], s[3], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B32, addr=v[0], vdst=v[7], saddr=s[4:5], offset=-100),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[6]),
v_mov_b32_e32(v[1], v[7]),
v_mov_b32_e32(v[6], 0),
v_mov_b32_e32(v[7], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
s_mov_b32(s[4], 0),
s_mov_b32(s[5], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xAAAAAAAA, f"offset 200-100=100: expected 0xAAAAAAAA, got 0x{st.vgpr[0][0]:08x}")
self.assertEqual(st.vgpr[0][1], 0xBBBBBBBB, f"offset 300-100=200: expected 0xBBBBBBBB, got 0x{st.vgpr[0][1]:08x}")
if __name__ == '__main__':
unittest.main()
+381
View File
@@ -0,0 +1,381 @@
"""Tests for SOP instructions - scalar operations.
Includes: s_add_u32, s_mov_b32, s_and_b32, s_or_b32, s_quadmask_b32, s_wqm_b32,
s_cbranch_vccnz, s_cbranch_vccz
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestBasicScalar(unittest.TestCase):
"""Tests for basic scalar operations."""
def test_s_add_u32(self):
"""S_ADD_U32 adds two scalar values."""
instructions = [
s_mov_b32(s[0], 100),
s_mov_b32(s[1], 200),
s_add_u32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 300)
def test_s_add_u32_carry(self):
"""S_ADD_U32 sets SCC on overflow."""
instructions = [
s_mov_b32(s[0], 64),
s_not_b32(s[0], s[0]), # ~64 = 0xffffffbf
s_mov_b32(s[1], 64),
s_add_u32(s[2], s[0], s[1]), # 0xffffffbf + 64 = 0xffffffff
s_mov_b32(s[3], 1),
s_add_u32(s[4], s[2], s[3]), # 0xffffffff + 1 = overflow
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[4], 0)
self.assertEqual(st.scc, 1)
def test_s_brev_b32(self):
"""S_BREV_B32 reverses bits of a 32-bit value."""
# 10 = 0b00000000000000000000000000001010
# reversed = 0b01010000000000000000000000000000 = 0x50000000
instructions = [
s_mov_b32(s[0], 10),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x50000000)
def test_s_brev_b32_all_ones(self):
"""S_BREV_B32 with all ones stays all ones."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_brev_b32_single_bit(self):
"""S_BREV_B32 with bit 0 set becomes bit 31."""
instructions = [
s_mov_b32(s[0], 1),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x80000000)
class TestQuadmaskWqm(unittest.TestCase):
"""Tests for S_QUADMASK_B32 and S_WQM_B32."""
def test_s_quadmask_b32_all_quads_active(self):
"""S_QUADMASK_B32 with all quads active."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # All lanes active
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Each quad (4 lanes) with any bit set -> 1 bit in result
# 32 lanes = 8 quads, all active -> 0xFF
self.assertEqual(st.sgpr[1], 0xFF)
def test_s_quadmask_b32_alternating_quads(self):
"""S_QUADMASK_B32 with alternating quads active."""
instructions = [
s_mov_b32(s[0], 0x0F0F0F0F), # Quads 0,2,4,6 active
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Quads 0,2,4,6 have at least one bit -> 0b01010101 = 0x55
self.assertEqual(st.sgpr[1], 0x55)
def test_s_quadmask_b32_no_quads_active(self):
"""S_QUADMASK_B32 with no quads active."""
instructions = [
s_mov_b32(s[0], 0),
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0)
def test_s_quadmask_b32_single_lane_per_quad(self):
"""S_QUADMASK_B32 with single lane active in each quad."""
instructions = [
s_mov_b32(s[0], 0x11111111), # Bit 0 of each nibble
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# All 8 quads have at least one lane -> 0xFF
self.assertEqual(st.sgpr[1], 0xFF)
def test_s_wqm_b32_all_active(self):
"""S_WQM_B32 with all lanes active returns all 1s."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF),
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_wqm_b32_alternating_quads(self):
"""S_WQM_B32 with single lane per quad expands to full quads."""
instructions = [
s_mov_b32(s[0], 0x11111111), # One lane per quad
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Each quad with any bit expands to all 4 bits
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_wqm_b32_zero(self):
"""S_WQM_B32 with zero input returns zero."""
instructions = [
s_mov_b32(s[0], 0),
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0)
class TestBranch(unittest.TestCase):
"""Tests for branch instructions."""
def test_cbranch_vccnz_ignores_vcc_hi(self):
"""S_CBRANCH_VCCNZ should only check VCC_LO in wave32."""
instructions = [
# Set VCC_LO = 0, VCC_HI = 1
s_mov_b32(VCC_LO, 0),
s_mov_b32(VCC_HI, 1),
v_mov_b32_e32(v[0], 0),
# If VCC_HI is incorrectly used, branch will be taken
s_cbranch_vccnz(1), # Skip next instruction if VCC != 0
v_mov_b32_e32(v[0], 42), # This should execute
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 42, "Branch should NOT be taken (VCC_LO is 0)")
def test_cbranch_vccz_ignores_vcc_hi(self):
"""S_CBRANCH_VCCZ should only check VCC_LO in wave32."""
instructions = [
# Set VCC_LO = 1, VCC_HI = 0
s_mov_b32(VCC_LO, 1),
s_mov_b32(VCC_HI, 0),
v_mov_b32_e32(v[0], 0),
# If VCC_HI is incorrectly used, branch will be taken
s_cbranch_vccz(1), # Skip next instruction if VCC == 0
v_mov_b32_e32(v[0], 42), # This should execute
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 42, "Branch should NOT be taken (VCC_LO is 1)")
def test_cbranch_vccnz_branches_on_vcc_lo(self):
"""S_CBRANCH_VCCNZ branches when VCC_LO is non-zero."""
instructions = [
s_mov_b32(VCC_LO, 1),
v_mov_b32_e32(v[0], 0),
s_cbranch_vccnz(1), # Skip next instruction if VCC != 0
v_mov_b32_e32(v[0], 42), # This should be skipped
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0, "Branch should be taken (VCC_LO is 1)")
class Test64BitLiterals(unittest.TestCase):
"""Tests for 64-bit literal encoding in instructions."""
def test_64bit_literal_negative_encoding(self):
"""64-bit literal -2^32 encodes correctly."""
lit = -4294967296.0 # -2^32
lit_bits = f2i64(lit)
instructions = [
s_mov_b32(s[0], lit_bits & 0xffffffff),
s_mov_b32(s[1], lit_bits >> 32),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
]
st = run_program(instructions, n_lanes=1)
result = i642f(st.vgpr[0][0] | (st.vgpr[0][1] << 32))
self.assertAlmostEqual(result, -4294967296.0, places=5)
class TestSCCBehavior(unittest.TestCase):
"""Tests for SCC condition code behavior."""
def test_scc_from_s_cmp(self):
"""SCC should be set by scalar compare."""
instructions = [
s_mov_b32(s[0], 10),
s_cmp_eq_u32(s[0], 10),
s_cselect_b32(s[1], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 1, "SCC should be true")
self.assertEqual(st.scc, 1)
def test_scc_clear(self):
"""SCC should be cleared by failing compare."""
instructions = [
s_mov_b32(s[0], 10),
s_cmp_eq_u32(s[0], 20),
s_cselect_b32(s[1], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0, "SCC should be false")
self.assertEqual(st.scc, 0)
class TestSignedArithmetic(unittest.TestCase):
"""Tests for S_ADD_I32, S_SUB_I32 and their SCC overflow behavior."""
def test_s_add_i32_no_overflow(self):
"""S_ADD_I32: 1 + 1 = 2, no overflow, SCC=0."""
instructions = [
s_mov_b32(s[0], 1),
s_add_i32(s[1], s[0], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 2)
self.assertEqual(st.scc, 0, "No overflow, SCC should be 0")
def test_s_add_i32_positive_overflow(self):
"""S_ADD_I32: MAX_INT + 1 overflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x7FFFFFFF), # MAX_INT
s_add_i32(s[1], s[0], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x80000000) # Wraps to MIN_INT
self.assertEqual(st.scc, 1, "Overflow, SCC should be 1")
def test_s_add_i32_negative_no_overflow(self):
"""S_ADD_I32: -10 + 20 = 10, no overflow."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFF6), # -10 in two's complement
s_mov_b32(s[1], 20),
s_add_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 10)
self.assertEqual(st.scc, 0)
def test_s_add_i32_negative_overflow(self):
"""S_ADD_I32: MIN_INT + (-1) underflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x80000000), # MIN_INT
s_mov_b32(s[1], 0xFFFFFFFF), # -1
s_add_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0x7FFFFFFF) # Wraps to MAX_INT
self.assertEqual(st.scc, 1, "Underflow, SCC should be 1")
def test_s_sub_i32_no_overflow(self):
"""S_SUB_I32: 10 - 5 = 5, no overflow."""
instructions = [
s_mov_b32(s[0], 10),
s_mov_b32(s[1], 5),
s_sub_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 5)
self.assertEqual(st.scc, 0)
def test_s_sub_i32_overflow(self):
"""S_SUB_I32: MAX_INT - (-1) overflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x7FFFFFFF), # MAX_INT
s_mov_b32(s[1], 0xFFFFFFFF), # -1
s_sub_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0x80000000) # Wraps to MIN_INT
self.assertEqual(st.scc, 1, "Overflow, SCC should be 1")
def test_s_mul_hi_u32(self):
"""S_MUL_HI_U32: high 32 bits of u32 * u32."""
instructions = [
s_mov_b32(s[0], 0x80000000), # 2^31
s_mov_b32(s[1], 4),
s_mul_hi_u32(s[2], s[0], s[1]), # (2^31 * 4) >> 32 = 2
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 2)
def test_s_mul_i32(self):
"""S_MUL_I32: signed multiply low 32 bits."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # -1
s_mov_b32(s[1], 10),
s_mul_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0xFFFFFFF6) # -10
def test_division_sequence_from_llvm(self):
"""Test the division sequence pattern from LLVM-generated code."""
# This sequence is from the sin kernel and computes integer division
# s10 = dividend, s18 = divisor, result in s6/s14
dividend = 0x28BE60DB # Some value from the sin kernel
divisor = 3 # Simplified divisor
instructions = [
s_mov_b32(s[10], dividend),
s_mov_b32(s[18], divisor),
# Compute reciprocal approximation: s6 = ~0 / divisor (approx)
s_mov_b32(s[11], 0),
s_sub_i32(s[11], s[11], s[18]), # s11 = -divisor
# For testing, just verify basic arithmetic works
s_mul_i32(s[6], s[10], 2),
s_add_i32(s[7], s[6], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[6], (dividend * 2) & 0xFFFFFFFF)
self.assertEqual(st.sgpr[7], ((dividend * 2) + 1) & 0xFFFFFFFF)
class Test64BitCompare(unittest.TestCase):
"""Tests for 64-bit scalar compare instructions."""
def test_s_cmp_eq_u64_equal(self):
"""S_CMP_EQ_U64: comparing equal 64-bit values sets SCC=1."""
val = 0x123456789ABCDEF0
instructions = [
s_mov_b32(s[0], val & 0xFFFFFFFF),
s_mov_b32(s[1], val >> 32),
s_mov_b32(s[2], val & 0xFFFFFFFF),
s_mov_b32(s[3], val >> 32),
s_cmp_eq_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 1)
self.assertEqual(st.sgpr[4], 1)
def test_s_cmp_eq_u64_different_upper_bits(self):
"""S_CMP_EQ_U64: values differing only in upper 32 bits are not equal."""
# This is the bug case - if only lower 32 bits are compared, these would be equal
instructions = [
s_mov_b32(s[0], 0), # lower 32 bits of value 0
s_mov_b32(s[1], 0), # upper 32 bits of value 0
s_mov_b32(s[2], 0), # lower 32 bits of 0x100000000
s_mov_b32(s[3], 1), # upper 32 bits of 0x100000000
s_cmp_eq_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 0, "0 != 0x100000000, SCC should be 0")
self.assertEqual(st.sgpr[4], 0)
def test_s_cmp_lg_u64_different(self):
"""S_CMP_LG_U64: different 64-bit values sets SCC=1."""
instructions = [
s_mov_b32(s[0], 0),
s_mov_b32(s[1], 0), # s[0:1] = 0
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 1), # s[2:3] = 0x100000000
s_cmp_lg_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 1, "0 != 0x100000000, SCC should be 1")
self.assertEqual(st.sgpr[4], 1)
if __name__ == '__main__':
unittest.main()
@@ -5,7 +5,7 @@ Includes: v_mov_b32, v_cvt_*, v_sin_f32, v_rcp_f32, v_exp_f32, v_rndne_f32,
v_readfirstlane_b32
"""
import unittest
from test.amd.hw.helpers import *
from extra.assembly.amd.test.hw.helpers import *
class TestMov(unittest.TestCase):
"""Tests for V_MOV_B32."""
@@ -255,6 +255,7 @@ class TestF16Conversions(unittest.TestCase):
def test_v_cvt_f16_f32_small(self):
"""V_CVT_F16_F32 converts small f32 value."""
from extra.assembly.amd.pcode import f32_to_f16
instructions = [
v_mov_b32_e32(v[0], 0.5),
v_cvt_f16_f32_e32(v[1], v[0]),
@@ -292,6 +293,7 @@ class TestF16Conversions(unittest.TestCase):
def test_v_cvt_f16_f32_reads_full_32bit_source(self):
"""V_CVT_F16_F32 must read full 32-bit f32 source."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x3fc00000), # f32 1.5
v_mov_b32_e32(v[0], s[0]),
@@ -300,7 +302,7 @@ class TestF16Conversions(unittest.TestCase):
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1]
lo_bits = result & 0xffff
self.assertEqual(lo_bits, 0x3e00, f"Expected f16(1.5)=0x3e00, got 0x{lo_bits:04x} ({f16(lo_bits)})")
self.assertEqual(lo_bits, 0x3e00, f"Expected f16(1.5)=0x3e00, got 0x{lo_bits:04x} ({_f16(lo_bits)})")
def test_v_cvt_i16_f16_zero(self):
"""V_CVT_I16_F16 converts f16 zero to i16 zero."""
@@ -346,141 +348,6 @@ class TestF16Conversions(unittest.TestCase):
self.assertEqual(result, 1, f"Expected 1 from high bits, got {result}")
class TestF64Conversions(unittest.TestCase):
"""Tests for f64 conversion instructions. Regression tests for f32_to_f64/f64_to_f32."""
def test_v_cvt_f64_f32_one(self):
"""V_CVT_F64_F32 converts f32 1.0 to f64."""
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_f32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, 1.0, places=10)
def test_v_cvt_f64_f32_negative(self):
"""V_CVT_F64_F32 converts f32 -2.5 to f64."""
instructions = [
s_mov_b32(s[0], f2i(-2.5)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_f32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, -2.5, places=10)
def test_v_cvt_f64_f32_pi(self):
"""V_CVT_F64_F32 converts f32 pi to f64."""
instructions = [
s_mov_b32(s[0], f2i(3.14159265)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_f32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, 3.14159265, places=5)
def test_v_cvt_f64_f32_zero(self):
"""V_CVT_F64_F32 converts f32 0.0 to f64."""
instructions = [
v_mov_b32_e32(v[0], 0),
v_cvt_f64_f32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertEqual(result, 0.0)
def test_v_cvt_f32_f64_one(self):
"""V_CVT_F32_F64 converts f64 1.0 to f32."""
f64_bits = f2i64(1.0)
lo, hi = f64_bits & 0xFFFFFFFF, (f64_bits >> 32) & 0xFFFFFFFF
instructions = [
s_mov_b32(s[0], lo),
s_mov_b32(s[1], hi),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cvt_f32_f64_e32(v[2], v[0:1]),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][2])
self.assertAlmostEqual(result, 1.0, places=5)
def test_v_cvt_f32_f64_negative(self):
"""V_CVT_F32_F64 converts f64 -3.5 to f32."""
f64_bits = f2i64(-3.5)
lo, hi = f64_bits & 0xFFFFFFFF, (f64_bits >> 32) & 0xFFFFFFFF
instructions = [
s_mov_b32(s[0], lo),
s_mov_b32(s[1], hi),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cvt_f32_f64_e32(v[2], v[0:1]),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][2])
self.assertAlmostEqual(result, -3.5, places=5)
def test_v_cvt_f32_f64_large(self):
"""V_CVT_F32_F64 converts large f64 to f32."""
f64_bits = f2i64(123456.789)
lo, hi = f64_bits & 0xFFFFFFFF, (f64_bits >> 32) & 0xFFFFFFFF
instructions = [
s_mov_b32(s[0], lo),
s_mov_b32(s[1], hi),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cvt_f32_f64_e32(v[2], v[0:1]),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][2])
self.assertAlmostEqual(result, 123456.789, places=0)
def test_v_cvt_f64_i32_positive(self):
"""V_CVT_F64_I32 converts positive i32 to f64."""
instructions = [
s_mov_b32(s[0], 42),
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_i32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, 42.0, places=10)
def test_v_cvt_f64_i32_negative(self):
"""V_CVT_F64_I32 converts negative i32 to f64."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # -1 as i32
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_i32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, -1.0, places=10)
def test_v_cvt_f64_u32_large(self):
"""V_CVT_F64_U32 converts large u32 to f64."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # max u32
v_mov_b32_e32(v[0], s[0]),
v_cvt_f64_u32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertAlmostEqual(result, 4294967295.0, places=0)
def test_v_cvt_f64_u32_zero(self):
"""V_CVT_F64_U32 converts 0 to f64."""
instructions = [
v_mov_b32_e32(v[0], 0),
v_cvt_f64_u32_e32(v[2:3], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = i642f((st.vgpr[0][3] << 32) | st.vgpr[0][2])
self.assertEqual(result, 0.0)
class TestClz(unittest.TestCase):
"""Tests for V_CLZ_I32_U32 - count leading zeros."""
@@ -693,6 +560,7 @@ class TestCvtF16Modifiers(unittest.TestCase):
def test_v_cvt_f32_f16_abs_negative(self):
"""V_CVT_F32_F16 with |abs| on negative value."""
from extra.assembly.amd.pcode import f32_to_f16
f16_neg1 = f32_to_f16(-1.0) # 0xbc00
instructions = [
s_mov_b32(s[0], f16_neg1),
@@ -705,6 +573,7 @@ class TestCvtF16Modifiers(unittest.TestCase):
def test_v_cvt_f32_f16_abs_positive(self):
"""V_CVT_F32_F16 with |abs| on positive value (should stay positive)."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0) # 0x4000
instructions = [
s_mov_b32(s[0], f16_2),
@@ -717,6 +586,7 @@ class TestCvtF16Modifiers(unittest.TestCase):
def test_v_cvt_f32_f16_neg_positive(self):
"""V_CVT_F32_F16 with neg on positive value."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0) # 0x4000
instructions = [
s_mov_b32(s[0], f16_2),
@@ -729,6 +599,7 @@ class TestCvtF16Modifiers(unittest.TestCase):
def test_v_cvt_f32_f16_neg_negative(self):
"""V_CVT_F32_F16 with neg on negative value (double negative)."""
from extra.assembly.amd.pcode import f32_to_f16
f16_neg2 = f32_to_f16(-2.0) # 0xc000
instructions = [
s_mov_b32(s[0], f16_neg2),
@@ -741,6 +612,7 @@ class TestCvtF16Modifiers(unittest.TestCase):
def test_v_cvt_f16_f32_then_pack_for_wmma(self):
"""CVT F32->F16 followed by pack (common WMMA pattern)."""
from extra.assembly.amd.pcode import _f16
f32_val = 3.5
instructions = [
s_mov_b32(s[0], f2i(f32_val)),
@@ -749,8 +621,8 @@ class TestCvtF16Modifiers(unittest.TestCase):
v_pack_b32_f16(v[2], v[1], v[1]), # Pack same value
]
st = run_program(instructions, n_lanes=1)
lo = f16(st.vgpr[0][2] & 0xffff)
hi = f16((st.vgpr[0][2] >> 16) & 0xffff)
lo = _f16(st.vgpr[0][2] & 0xffff)
hi = _f16((st.vgpr[0][2] >> 16) & 0xffff)
self.assertAlmostEqual(lo, f32_val, places=1)
self.assertAlmostEqual(hi, f32_val, places=1)
@@ -796,6 +668,7 @@ class TestConversionRounding(unittest.TestCase):
def test_f16_to_f32_precision(self):
"""F16 to F32 conversion precision."""
from extra.assembly.amd.pcode import f32_to_f16
f16_val = f32_to_f16(1.5)
instructions = [
s_mov_b32(s[0], f16_val),
@@ -807,6 +680,7 @@ class TestConversionRounding(unittest.TestCase):
def test_f16_denormal_to_f32(self):
"""F16 denormal converts to small positive f32."""
from extra.assembly.amd.pcode import _f16
f16_denorm = 0x0001 # Smallest positive f16 denormal
instructions = [
v_mov_b32_e32(v[0], f16_denorm),
@@ -1364,270 +1238,5 @@ class TestFloorEdgeCases(unittest.TestCase):
self.assertAlmostEqual(i2f(st.vgpr[0][1]), -1.0, places=5)
class TestVop1F16HiHalf(unittest.TestCase):
"""Regression tests for VOP1 f16 hi-half source operand handling.
For 16-bit VOP1 operations, when src0 is in the range v[128]+ (offset >= 384),
the hardware reads from the high 16 bits of v[src0-128]. The emulator must
extract bits [31:16] from the actual VGPR.
"""
def test_v_cvt_f32_f16_src_hi_half(self):
"""V_CVT_F32_F16 with source from hi-half (v[128]+).
When src0 >= v[128], it reads from the high 16 bits of v[src0-128].
This is critical for global_load_d16_hi_b16 + v_cvt_f32_f16 patterns.
Regression test for: VOP1 f16 src0 hi-half extraction bug.
"""
instructions = [
# v[0] = 0x4000_3c00: hi=f16(2.0), lo=f16(1.0)
s_mov_b32(s[0], 0x40003c00),
v_mov_b32_e32(v[0], s[0]),
# v_cvt_f32_f16 v[1], v[128] (reads hi half of v[0])
# Should convert f16(2.0) to f32(2.0)
v_cvt_f32_f16_e32(v[1], v[128]),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][1])
self.assertAlmostEqual(result, 2.0, places=5, msg=f"Expected f32(2.0), got {result}")
def test_v_cvt_f32_f16_src_lo_vs_hi(self):
"""V_CVT_F32_F16 comparing lo and hi half reads.
v[0] has different values in lo and hi halves.
v_cvt_f32_f16 v[1], v[0] should read lo (1.0)
v_cvt_f32_f16 v[2], v[128] should read hi (2.0)
Regression test for: VOP1 f16 src0 hi-half extraction bug.
"""
instructions = [
# v[0] = 0x4000_3c00: hi=f16(2.0), lo=f16(1.0)
s_mov_b32(s[0], 0x40003c00),
v_mov_b32_e32(v[0], s[0]),
# Read from lo half
v_cvt_f32_f16_e32(v[1], v[0]),
# Read from hi half
v_cvt_f32_f16_e32(v[2], v[128]),
]
st = run_program(instructions, n_lanes=1)
result_lo = i2f(st.vgpr[0][1])
result_hi = i2f(st.vgpr[0][2])
self.assertAlmostEqual(result_lo, 1.0, places=5, msg=f"Expected f32(1.0) from lo, got {result_lo}")
self.assertAlmostEqual(result_hi, 2.0, places=5, msg=f"Expected f32(2.0) from hi, got {result_hi}")
def test_v_cvt_i16_f16_src_hi_half(self):
"""V_CVT_I16_F16 with source from hi-half.
Regression test for: VOP1 f16 src0 hi-half extraction bug.
"""
instructions = [
# v[0] = 0xc000_3c00: hi=f16(-2.0), lo=f16(1.0)
s_mov_b32(s[0], 0xc0003c00),
v_mov_b32_e32(v[0], s[0]),
# v_cvt_i16_f16 v[1], v[128] (reads hi half of v[0])
# Should convert f16(-2.0) to i16(-2)
v_cvt_i16_f16_e32(v[1], v[128]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
expected = (-2) & 0xffff
self.assertEqual(result, expected, f"Expected i16(-2)=0x{expected:04x}, got 0x{result:04x}")
def test_v_mov_b16_src_hi_half(self):
"""V_MOV_B16 with source from hi-half.
Regression test for: VOP1 f16 src0 hi-half extraction bug.
"""
instructions = [
# v[0] = 0xBEEF_DEAD: hi=0xBEEF, lo=0xDEAD
s_mov_b32(s[0], 0xBEEFDEAD),
v_mov_b32_e32(v[0], s[0]),
# v[1] = 0x0000_0000 initially
v_mov_b32_e32(v[1], 0),
# v_mov_b16 v[1], v[128] (reads hi half of v[0])
# Should move 0xBEEF to v[1].lo
v_mov_b16_e32(v[1], v[128]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0xBEEF, f"Expected 0xBEEF from hi half, got 0x{result:04x}")
class TestReciprocalF16(unittest.TestCase):
"""Tests for V_RCP_F16 - reciprocal in half precision.
The pcode uses a 16-bit float literal: D0.f16 = 16'1.0 / S0.f16
This tests that the sized float literal (16'1.0) is correctly parsed.
"""
def test_v_rcp_f16_one(self):
"""V_RCP_F16: 1/1.0 = 1.0"""
import struct
def f16_to_bits(f): return struct.unpack('<H', struct.pack('<e', f))[0]
def bits_to_f16(b): return struct.unpack('<e', struct.pack('<H', b))[0]
instructions = [
# Load f16 1.0 into low 16 bits of v[0]
v_mov_b32_e32(v[0], f16_to_bits(1.0)),
v_rcp_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = bits_to_f16(st.vgpr[0][1] & 0xFFFF)
self.assertAlmostEqual(result, 1.0, places=2, msg="1/1.0 should be 1.0")
def test_v_rcp_f16_two(self):
"""V_RCP_F16: 1/2.0 = 0.5"""
import struct
def f16_to_bits(f): return struct.unpack('<H', struct.pack('<e', f))[0]
def bits_to_f16(b): return struct.unpack('<e', struct.pack('<H', b))[0]
instructions = [
v_mov_b32_e32(v[0], f16_to_bits(2.0)),
v_rcp_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = bits_to_f16(st.vgpr[0][1] & 0xFFFF)
self.assertAlmostEqual(result, 0.5, places=2, msg="1/2.0 should be 0.5")
def test_v_rcp_f16_four(self):
"""V_RCP_F16: 1/4.0 = 0.25"""
import struct
def f16_to_bits(f): return struct.unpack('<H', struct.pack('<e', f))[0]
def bits_to_f16(b): return struct.unpack('<e', struct.pack('<H', b))[0]
instructions = [
v_mov_b32_e32(v[0], f16_to_bits(4.0)),
v_rcp_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = bits_to_f16(st.vgpr[0][1] & 0xFFFF)
self.assertAlmostEqual(result, 0.25, places=2, msg="1/4.0 should be 0.25")
class TestCvtNormF16(unittest.TestCase):
"""Tests for V_CVT_NORM_I16_F16 and V_CVT_NORM_U16_F16."""
def test_cvt_norm_i16_f16_positive(self):
"""V_CVT_NORM_I16_F16: f16 1.0 -> i16 max (32767)."""
instructions = [
s_mov_b32(s[0], f32_to_f16(1.0)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_norm_i16_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 32767)
def test_cvt_norm_i16_f16_negative(self):
"""V_CVT_NORM_I16_F16: f16 -1.0 -> i16 -32767 (0x8001)."""
instructions = [
s_mov_b32(s[0], f32_to_f16(-1.0)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_norm_i16_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0x8001) # -32767, hardware uses symmetric range
def test_cvt_norm_i16_f16_zero(self):
"""V_CVT_NORM_I16_F16: f16 0.0 -> i16 0."""
instructions = [
v_mov_b32_e32(v[0], 0),
v_cvt_norm_i16_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0)
def test_cvt_norm_u16_f16_one(self):
"""V_CVT_NORM_U16_F16: f16 1.0 -> u16 max (65535)."""
instructions = [
s_mov_b32(s[0], f32_to_f16(1.0)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_norm_u16_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 65535)
def test_cvt_norm_u16_f16_half(self):
"""V_CVT_NORM_U16_F16: f16 0.5 -> u16 ~32768."""
instructions = [
s_mov_b32(s[0], f32_to_f16(0.5)),
v_mov_b32_e32(v[0], s[0]),
v_cvt_norm_u16_f16_e32(v[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertAlmostEqual(result, 32768, delta=1)
class TestPermlane64(unittest.TestCase):
"""Tests for V_PERMLANE64_B32 instruction (wave64 cross-half swap)."""
def test_v_permlane64_b32_is_nop_in_wave32(self):
"""V_PERMLANE64_B32 is a NOP in wave32 mode.
Per AMD pcode: "if WAVE32 then s_nop(...) else ... endif"
The emulator runs in wave32 mode, so this instruction should not modify registers.
"""
instructions = [
v_mov_b32_e32(v[0], 0xCAFEBABE), # source
v_mov_b32_e32(v[1], 0x12345678), # dest (should be preserved)
v_permlane64_b32_e32(v[1], v[0]), # NOP in wave32
]
st = run_program(instructions, n_lanes=1)
# Dest register should be unchanged (NOP behavior in wave32)
self.assertEqual(st.vgpr[0][1], 0x12345678)
class TestSwap(unittest.TestCase):
"""Tests for V_SWAP_B32 - swap two VGPRs."""
def test_v_swap_b32_basic(self):
"""V_SWAP_B32 swaps two VGPR values."""
instructions = [
v_mov_b32_e32(v[0], 42),
v_mov_b32_e32(v[1], 99),
v_swap_b32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 99)
self.assertEqual(st.vgpr[0][1], 42)
def test_v_swap_b32_same_reg(self):
"""V_SWAP_B32 with same src and dst is a no-op."""
instructions = [
v_mov_b32_e32(v[0], 0xDEADBEEF),
v_swap_b32_e32(v[0], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xDEADBEEF)
def test_v_swap_b32_multi_lane(self):
"""V_SWAP_B32 swaps per-lane values independently."""
instructions = [
# v[0] = lane_id * 10, v[1] = lane_id * 100
v_lshlrev_b32_e32(v[0], 1, v[255]), # v[0] = lane_id * 2
v_add_nc_u32_e32(v[0], v[0], v[255]), # v[0] = lane_id * 3
v_mul_u32_u24_e32(v[1], 100, v[255]), # v[1] = lane_id * 100
v_swap_b32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
for lane in range(4):
self.assertEqual(st.vgpr[lane][0], lane * 100)
self.assertEqual(st.vgpr[lane][1], lane * 3)
def test_v_swap_b32_chain(self):
"""Two swaps in sequence restore original values."""
instructions = [
v_mov_b32_e32(v[0], 0xAAAAAAAA),
v_mov_b32_e32(v[1], 0x55555555),
v_swap_b32_e32(v[0], v[1]),
v_swap_b32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][1], 0x55555555)
if __name__ == '__main__':
unittest.main()
+451
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@@ -0,0 +1,451 @@
"""Tests for VOP2 instructions - two operand vector operations.
Includes: v_add_f32, v_mul_f32, v_and_b32, v_or_b32, v_xor_b32,
v_lshrrev_b32, v_lshlrev_b32, v_fmac_f32, v_fmaak_f32, v_fmamk_f32,
v_add_nc_u32, v_cndmask_b32, v_add_f16, v_mul_f16
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestBasicArithmetic(unittest.TestCase):
"""Tests for basic arithmetic VOP2 instructions."""
def test_v_add_f32(self):
"""V_ADD_F32 adds two floats."""
instructions = [
v_mov_b32_e32(v[0], 1.0),
v_mov_b32_e32(v[1], 2.0),
v_add_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 3.0, places=5)
def test_v_mul_f32(self):
"""V_MUL_F32 multiplies two floats."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_mul_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 8.0, places=5)
def test_v_fmac_f32(self):
"""V_FMAC_F32: d = d + a*b using inline constants."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_mov_b32_e32(v[2], 1.0),
v_fmac_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmaak_f32(self):
"""V_FMAAK_F32: d = a * b + K using inline constants."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_fmaak_f32_e32(v[2], v[0], v[1], literal=0x3f800000),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmamk_f32_basic(self):
"""V_FMAMK_F32: d = a * K + b."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 1.0),
v_fmamk_f32_e32(v[2], v[0], v[1], literal=0x40800000),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmamk_f32_small_constant(self):
"""V_FMAMK_F32 with small constant."""
instructions = [
v_mov_b32_e32(v[0], 4.0),
v_mov_b32_e32(v[1], 1.0),
v_fmamk_f32_e32(v[2], v[0], v[1], literal=f2i(0.5)),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 3.0, places=5)
class TestBitManipulation(unittest.TestCase):
"""Tests for bit manipulation VOP2 instructions."""
def test_v_and_b32(self):
"""V_AND_B32 bitwise and."""
instructions = [
s_mov_b32(s[0], 0xff),
s_mov_b32(s[1], 0x0f),
v_mov_b32_e32(v[0], s[0]),
v_and_b32_e32(v[1], s[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x0f)
def test_v_and_b32_quadrant(self):
"""V_AND_B32 for quadrant extraction (n & 3)."""
instructions = [
s_mov_b32(s[0], 15915),
v_mov_b32_e32(v[0], s[0]),
v_and_b32_e32(v[1], 3, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 15915 & 3)
def test_v_lshrrev_b32(self):
"""V_LSHRREV_B32 logical shift right."""
instructions = [
s_mov_b32(s[0], 0xff00),
v_mov_b32_e32(v[0], s[0]),
v_lshrrev_b32_e32(v[1], 8, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xff)
def test_v_lshlrev_b32(self):
"""V_LSHLREV_B32 logical shift left."""
instructions = [
s_mov_b32(s[0], 0xff),
v_mov_b32_e32(v[0], s[0]),
v_lshlrev_b32_e32(v[1], 8, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xff00)
def test_v_xor_b32(self):
"""V_XOR_B32 bitwise xor (used in sin for sign)."""
instructions = [
s_mov_b32(s[0], 0x80000000),
s_mov_b32(s[1], f2i(1.0)),
v_mov_b32_e32(v[0], s[1]),
v_xor_b32_e32(v[1], s[0], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][1]), -1.0, places=5)
def test_v_xor_b32_sign_flip(self):
"""V_XOR_B32 for sign flip pattern."""
instructions = [
s_mov_b32(s[0], 0x80000000),
v_mov_b32_e32(v[0], -2.0),
v_xor_b32_e32(v[1], s[0], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][1]), 2.0, places=5)
class TestSpecialValues(unittest.TestCase):
"""Tests for special float values - inf, nan, zero handling."""
def test_v_mul_f32_zero_times_inf(self):
"""V_MUL_F32: 0 * inf = NaN."""
import math
instructions = [
v_mov_b32_e32(v[0], 0),
s_mov_b32(s[0], 0x7f800000),
v_mov_b32_e32(v[1], s[0]),
v_mul_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertTrue(math.isnan(i2f(st.vgpr[0][2])))
def test_v_add_f32_inf_minus_inf(self):
"""V_ADD_F32: inf + (-inf) = NaN."""
import math
instructions = [
s_mov_b32(s[0], 0x7f800000),
s_mov_b32(s[1], 0xff800000),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertTrue(math.isnan(i2f(st.vgpr[0][2])))
class TestF16Ops(unittest.TestCase):
"""Tests for 16-bit VOP2 operations."""
def test_v_add_f16_basic(self):
"""V_ADD_F16 adds two f16 values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4200, f"Expected 0x4200 (f16 3.0), got 0x{result:04x}")
def test_v_add_f16_negative(self):
"""V_ADD_F16 with negative values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0xc000), # f16 -2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0xbc00, f"Expected 0xbc00 (f16 -1.0), got 0x{result:04x}")
def test_v_mul_f16_basic(self):
"""V_MUL_F16 multiplies two f16 values."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mul_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4600, f"Expected 0x4600 (f16 6.0), got 0x{result:04x}")
def test_v_mul_f16_by_zero(self):
"""V_MUL_F16 by zero."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0),
v_mul_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x0000, f"Expected 0x0000 (f16 0.0), got 0x{result:04x}")
def test_v_fmac_f16_basic(self):
"""V_FMAC_F16: d = d + a*b."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
s_mov_b32(s[2], 0x3c00), # f16 1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
v_fmac_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(result, 0x4700, f"Expected 0x4700 (f16 7.0), got 0x{result:04x}")
def test_v_fmaak_f16_basic(self):
"""V_FMAAK_F16: d = a * b + K."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_fmaak_f16_e32(v[2], v[0], v[1], literal=0x3c00), # + f16 1.0
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(result, 0x4700, f"Expected 0x4700 (f16 7.0), got 0x{result:04x}")
class TestHiHalfOps(unittest.TestCase):
"""Tests for VOP2 16-bit operations with hi-half operands."""
def test_v_add_f16_src0_hi_fold(self):
"""V_ADD_F16 with src0 hi-half fold (same register, different halves)."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # lo=f16(1.0), hi=f16(2.0)
v_mov_b32_e32(v[0], s[0]),
VOP3(VOP3Op.V_ADD_F16, vdst=v[1], src0=v[0], src1=v[0], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0x4200, f"Expected f16(3.0)=0x4200, got 0x{result:04x}")
def test_v_add_f16_src0_hi_different_reg(self):
"""V_ADD_F16 with src0 hi-half from different register."""
instructions = [
s_mov_b32(s[0], 0x40000000), # hi=f16(2.0), lo=0
s_mov_b32(s[1], 0x00003c00), # hi=0, lo=f16(1.0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
VOP3(VOP3Op.V_ADD_F16, vdst=v[2], src0=v[0], src1=v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4200, f"Expected f16(3.0)=0x4200, got 0x{result:04x}")
def test_v_mul_f16_src0_hi(self):
"""V_MUL_F16 with src0 from high half."""
instructions = [
s_mov_b32(s[0], 0x40000000), # hi=f16(2.0), lo=0
s_mov_b32(s[1], 0x00004200), # hi=0, lo=f16(3.0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
VOP3(VOP3Op.V_MUL_F16, vdst=v[2], src0=v[0], src1=v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4600, f"Expected f16(6.0)=0x4600, got 0x{result:04x}")
def test_v_mul_f16_hi_half(self):
"""V_MUL_F16 reading from high half."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # lo=1.0, hi=2.0
v_mov_b32_e32(v[0], s[0]),
VOP3(VOP3Op.V_MUL_F16, vdst=v[1], src0=v[0], src1=v[0], opsel=0b0011),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0x4400, f"Expected f16(4.0)=0x4400, got 0x{result:04x}")
def test_v_fma_f16_hi_dest(self):
"""V_FMA_F16 writing to high half with opsel.
Uses V_FMA_F16 (not V_FMAC_F16) because it has explicit src2 operand
which makes opsel handling clearer.
"""
instructions = [
s_mov_b32(s[0], 0x3c000000), # hi=f16(1.0), lo=0
s_mov_b32(s[1], 0x4000), # f16(2.0) in lo
s_mov_b32(s[2], 0x4200), # f16(3.0) in lo
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
# V_FMA_F16: dst = src0 * src1 + src2
# opsel=0b1100: bit2=src2 hi, bit3=dst hi
# So: v[0].hi = v[1].lo * v[2].lo + v[0].hi = 2.0 * 3.0 + 1.0 = 7.0
VOP3(VOP3Op.V_FMA_F16, vdst=v[0], src0=v[1], src1=v[2], src2=v[0], opsel=0b1100),
]
st = run_program(instructions, n_lanes=1)
hi = (st.vgpr[0][0] >> 16) & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(hi, 0x4700, f"Expected f16(7.0)=0x4700 in hi, got 0x{hi:04x}")
def test_v_add_f16_multilane(self):
"""V_ADD_F16 with multiple lanes."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
for lane in range(4):
result = st.vgpr[lane][2] & 0xffff
self.assertEqual(result, 0x4200, f"Lane {lane}: expected 0x4200, got 0x{result:04x}")
class TestCndmask(unittest.TestCase):
"""Tests for V_CNDMASK_B32 and V_CNDMASK_B16."""
def test_v_cndmask_b16_select_src0(self):
"""V_CNDMASK_B16 selects src0 when VCC bit is 0."""
instructions = [
s_mov_b32(VCC_LO, 0), # VCC = 0
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cndmask_b16(v[2], v[0], v[1], VCC),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x3c00, f"Expected src0=0x3c00, got 0x{result:04x}")
def test_v_cndmask_b16_select_src1(self):
"""V_CNDMASK_B16 selects src1 when VCC bit is 1."""
instructions = [
s_mov_b32(VCC_LO, 1), # VCC = 1
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cndmask_b16(v[2], v[0], v[1], VCC),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4000, f"Expected src1=0x4000, got 0x{result:04x}")
def test_v_cndmask_b16_write_hi(self):
"""V_CNDMASK_B16 can write to high 16 bits with opsel."""
instructions = [
s_mov_b32(s[0], 0x3c003800), # src0: hi=1.0, lo=0.5
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x4000c000), # src1: hi=2.0, lo=-2.0
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], 0xDEAD0000), # v2 initial: hi=0xDEAD, lo=0
v_mov_b32_e32(v[2], s[2]),
s_mov_b32(VCC_LO, 0), # vcc = 0, select src0
# opsel=0b1011: bit0=src0 hi, bit1=src1 hi, bit3=dst hi
VOP3(VOP3Op.V_CNDMASK_B16, vdst=v[2], src0=v[0], src1=v[1], src2=SrcEnum.VCC_LO, opsel=0b1011),
]
st = run_program(instructions, n_lanes=1)
hi = (st.vgpr[0][2] >> 16) & 0xffff
lo = st.vgpr[0][2] & 0xffff
# vcc=0 selects src0.h = 1.0 = 0x3c00, writes to hi
self.assertEqual(hi, 0x3c00, f"Expected hi=0x3c00 (1.0), got 0x{hi:04x}")
self.assertEqual(lo, 0x0000, f"Expected lo preserved as 0, got 0x{lo:04x}")
class TestSpecialFloatValues(unittest.TestCase):
"""Tests for special float value handling in VOP2 instructions."""
def test_neg_zero_add(self):
"""-0.0 + 0.0 = +0.0 (IEEE 754)."""
neg_zero = 0x80000000
instructions = [
s_mov_b32(s[0], neg_zero),
v_mov_b32_e32(v[0], s[0]),
v_add_f32_e32(v[1], 0.0, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000, "Should be +0.0")
def test_neg_zero_mul(self):
"""-0.0 * -1.0 = +0.0."""
neg_zero = 0x80000000
instructions = [
s_mov_b32(s[0], neg_zero),
v_mov_b32_e32(v[0], s[0]),
v_mul_f32_e32(v[1], -1.0, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000, "Should be +0.0")
def test_inf_minus_inf(self):
"""+inf - inf = NaN."""
import math
pos_inf = 0x7f800000
neg_inf = 0xff800000
instructions = [
s_mov_b32(s[0], pos_inf),
s_mov_b32(s[1], neg_inf),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_sub_f32_e32(v[2], v[0], v[1]), # inf - (-inf) = inf
v_add_f32_e32(v[3], v[0], v[1]), # inf + (-inf) = NaN
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], pos_inf, "inf - (-inf) = inf")
self.assertTrue(math.isnan(i2f(st.vgpr[0][3])), "inf + (-inf) = NaN")
def test_denormal_f32_mul_ftz(self):
"""Denormal * normal - RDNA3 flushes denormals to zero (FTZ mode)."""
smallest_denorm = 0x00000001 # Smallest positive denormal
instructions = [
s_mov_b32(s[0], smallest_denorm),
v_mov_b32_e32(v[0], s[0]),
v_mul_f32_e32(v[1], 2.0, v[0]), # Denormal input gets flushed to 0
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000)
if __name__ == '__main__':
unittest.main()
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"""Tests for VOP3P instructions - packed 16-bit vector operations.
Includes: v_pk_add_f16, v_pk_mul_f16, v_pk_fma_f16, v_pack_b32_f16, v_wmma_*, v_dot2_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestPackInstructions(unittest.TestCase):
"""Tests for pack instructions."""
def test_v_pack_b32_f16(self):
"""V_PACK_B32_F16 packs two f16 values into one 32-bit register."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x40003c00, f"Expected 0x40003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_hi_hi(self):
"""V_PACK_B32_F16 with opsel to read high halves."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0011),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44004000, f"Expected 0x44004000, got 0x{result:08x}")
class TestPackMore(unittest.TestCase):
"""Additional pack instruction tests."""
def test_v_pack_b32_f16_basic(self):
"""V_PACK_B32_F16 packs two f16 values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x40003c00, f"Expected 0x40003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_with_cvt(self):
"""V_PACK_B32_F16 after V_CVT_F16_F32 conversions."""
instructions = [
s_mov_b32(s[0], 0x3f800000),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cvt_f16_f32_e32(v[2], v[0]),
v_cvt_f16_f32_e32(v[3], v[1]),
v_pack_b32_f16(v[4], v[2], v[3]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][4]
self.assertEqual(result, 0x3c003c00, f"Expected 0x3c003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_packed_sources(self):
"""V_PACK_B32_F16 with packed f16 sources (reads lo halves)."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
# Expected: hi=v1.lo=0x4200 (3.0), lo=v0.lo=0x3c00 (1.0) -> 0x42003c00
self.assertEqual(result, 0x42003c00, f"Expected 0x42003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_lo_hi(self):
"""V_PACK_B32_F16 with opsel=0b0010 to read lo from src0, hi from src1."""
instructions = [
s_mov_b32(s[0], 0x40003c00),
s_mov_b32(s[1], 0x44004200),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0010),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44003c00, f"Expected 0x44003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_hi_lo(self):
"""V_PACK_B32_F16 with opsel=0b0001 to read hi from src0, lo from src1."""
instructions = [
s_mov_b32(s[0], 0x40003c00),
s_mov_b32(s[1], 0x44004200),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x42004000, f"Expected 0x42004000, got 0x{result:08x}")
def test_v_pack_b32_f16_zeros(self):
"""V_PACK_B32_F16 with zero values."""
instructions = [
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0)
def test_v_pack_b32_f16_both_positive(self):
"""V_PACK_B32_F16 with positive f16 values."""
instructions = [
s_mov_b32(s[0], 0x4200), # f16 3.0
s_mov_b32(s[1], 0x4400), # f16 4.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44004200, f"Expected 0x44004200, got 0x{result:08x}")
class TestFmaMix(unittest.TestCase):
"""Tests for V_FMA_MIX_F32 and V_FMA_MIXLO_F16."""
def test_v_fma_mix_f32_all_f32_sources(self):
"""V_FMA_MIX_F32 with all f32 sources."""
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(1.0)),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 7.0, places=5)
def test_v_fma_mix_f32_src2_f16_lo(self):
"""V_FMA_MIX_F32 with src2 as f16 from lo bits."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0)
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f16_2),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 5.0, places=5)
def test_v_fma_mix_f32_src2_f16_hi(self):
"""V_FMA_MIX_F32 with src2 as f16 from hi bits."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0)
val = (f16_2 << 16) | 0
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], val),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=4, opsel_hi=0, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 5.0, places=5)
def test_v_fma_mix_f32_with_abs(self):
"""V_FMA_MIX_F32 with abs modifier on src2."""
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(-1.0)),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0, neg_hi=4),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 7.0, places=5)
def test_v_fma_mixlo_f16(self):
"""V_FMA_MIXLO_F16 writes to low 16 bits of destination."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(1.0)),
v_mov_b32_e32(v[2], s[2]),
s_mov_b32(s[3], 0xdead0000),
v_mov_b32_e32(v[3], s[3]),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
hi = (st.vgpr[0][3] >> 16) & 0xffff
self.assertAlmostEqual(lo, 7.0, places=1)
self.assertEqual(hi, 0xdead, f"hi should be preserved, got 0x{hi:04x}")
def test_v_fma_mixlo_f16_all_f32_sources(self):
"""V_FMA_MIXLO_F16 with all f32 sources."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(2.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(3.0)),
v_mov_b32_e32(v[2], s[2]),
v_mov_b32_e32(v[3], 0),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
# 1*2+3 = 5
self.assertAlmostEqual(lo, 5.0, places=1)
def test_v_fma_mixlo_f16_sin_case(self):
"""V_FMA_MIXLO_F16 case from sin kernel."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x3f800000), # f32 1.0
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[1], 0xaf05a309), # f32 tiny negative
s_mov_b32(s[6], s[1]),
s_mov_b32(s[2], 0xc0490fdb), # f32 -π
v_mov_b32_e32(v[5], s[2]),
s_mov_b32(s[3], 0x3f800000),
v_mov_b32_e32(v[3], s[3]),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[3], src1=s[6], src2=v[5], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
self.assertAlmostEqual(lo, -3.14159, delta=0.01)
class TestVOP3P(unittest.TestCase):
"""Tests for VOP3P packed 16-bit operations."""
def test_v_pk_add_f16_basic(self):
"""V_PK_ADD_F16 adds two packed f16 values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_add_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 4.0, places=2)
self.assertAlmostEqual(hi, 6.0, places=2)
def test_v_pk_mul_f16_basic(self):
"""V_PK_MUL_F16 multiplies two packed f16 values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x42004000), # hi=3.0, lo=2.0
s_mov_b32(s[1], 0x45004400), # hi=5.0, lo=4.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_mul_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 8.0, places=1)
self.assertAlmostEqual(hi, 15.0, places=1)
def test_v_pk_fma_f16_basic(self):
"""V_PK_FMA_F16: D = A * B + C for packed f16."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x42004000), # A: hi=3.0, lo=2.0
s_mov_b32(s[1], 0x45004400), # B: hi=5.0, lo=4.0
s_mov_b32(s[2], 0x3c003c00), # C: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
v_pk_fma_f16(v[3], v[0], v[1], v[2], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][3]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 9.0, places=1) # 2*4+1
self.assertAlmostEqual(hi, 16.0, places=0) # 3*5+1
def test_v_pk_add_f16_with_inline_constant(self):
"""V_PK_ADD_F16 with inline constant POS_ONE (1.0).
Inline constants for VOP3P are f16 values in the low 16 bits only.
hi half of inline constant is 0, so hi result = v0.hi + 0 = 1.0.
"""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x3c003c00), # packed f16: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_pk_add_f16(v[1], v[0], SrcEnum.POS_ONE, opsel_hi=3, opsel_hi2=1), # Add inline constant 1.0
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
# lo = 1.0 + 1.0 = 2.0, hi = 1.0 + 0.0 = 1.0 (inline const hi half is 0)
self.assertAlmostEqual(lo, 2.0, places=2)
self.assertAlmostEqual(hi, 1.0, places=2)
def test_v_pk_mul_f16_with_inline_constant(self):
"""V_PK_MUL_F16 with inline constant POS_TWO (2.0).
Inline constant has value only in low 16 bits, hi is 0.
"""
from extra.assembly.amd.pcode import _f16
# v0 = packed (3.0, 4.0), multiply by POS_TWO
# lo = 3.0 * 2.0 = 6.0, hi = 4.0 * 0.0 = 0.0 (inline const hi is 0)
instructions = [
s_mov_b32(s[0], 0x44004200), # packed f16: hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_pk_mul_f16(v[1], v[0], SrcEnum.POS_TWO, opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 6.0, places=1)
self.assertAlmostEqual(hi, 0.0, places=1)
class TestWMMA(unittest.TestCase):
"""Tests for WMMA (Wave Matrix Multiply-Accumulate) instructions."""
def test_v_wmma_f32_16x16x16_f16_all_ones(self):
"""V_WMMA_F32_16X16X16_F16 with all ones produces 16.0."""
instructions = []
instructions.append(s_mov_b32(s[0], 0x3c003c00)) # packed f16 1.0
for i in range(16, 32):
instructions.append(v_mov_b32_e32(v[i], s[0]))
for i in range(8):
instructions.append(v_mov_b32_e32(v[i], 0))
instructions.append(v_wmma_f32_16x16x16_f16(v[0:7], v[16:23], v[24:31], v[0:7]))
st = run_program(instructions, n_lanes=32)
expected = f2i(16.0)
for lane in range(32):
for reg in range(8):
result = st.vgpr[lane][reg]
self.assertEqual(result, expected, f"v[{reg}] lane {lane}: expected 16.0, got {i2f(result)}")
def test_v_wmma_f32_16x16x16_f16_with_accumulator(self):
"""V_WMMA_F32_16X16X16_F16 with non-zero accumulator."""
instructions = []
instructions.append(s_mov_b32(s[0], 0x3c003c00))
instructions.append(s_mov_b32(s[1], f2i(5.0)))
for i in range(16, 32):
instructions.append(v_mov_b32_e32(v[i], s[0]))
for i in range(8):
instructions.append(v_mov_b32_e32(v[i], s[1]))
instructions.append(v_wmma_f32_16x16x16_f16(v[0:7], v[16:23], v[24:31], v[0:7]))
st = run_program(instructions, n_lanes=32)
expected = f2i(21.0) # 16 + 5
for lane in range(32):
for reg in range(8):
result = st.vgpr[lane][reg]
self.assertEqual(result, expected, f"v[{reg}] lane {lane}: expected 21.0, got {i2f(result)}")
class TestSpecialOps(unittest.TestCase):
"""Tests for special operations (SAD, PERM, DOT2)."""
def test_v_sad_u8_basic(self):
"""V_SAD_U8 computes sum of absolute differences."""
instructions = [
s_mov_b32(s[0], 0x04030201), # bytes: 1, 2, 3, 4
s_mov_b32(s[1], 0x05040302), # bytes: 2, 3, 4, 5
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u8(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |1-2| + |2-3| + |3-4| + |4-5| = 1 + 1 + 1 + 1 = 4
self.assertEqual(st.vgpr[0][3], 4)
def test_v_sad_u8_identical_bytes(self):
"""V_SAD_U8 with identical inputs returns accumulator."""
instructions = [
s_mov_b32(s[0], 0x04030201),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 10),
v_mov_b32_e32(v[2], s[1]),
v_sad_u8(v[3], v[0], v[0], v[2]),
]
st = run_program(instructions, n_lanes=1)
# Same inputs -> SAD = 0, result = accumulator = 10
self.assertEqual(st.vgpr[0][3], 10)
def test_v_sad_u16_basic(self):
"""V_SAD_U16 computes sum of absolute differences of u16 pairs."""
instructions = [
s_mov_b32(s[0], 0x00030001), # hi=3, lo=1
s_mov_b32(s[1], 0x00050002), # hi=5, lo=2
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u16(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |1-2| + |3-5| = 1 + 2 = 3
self.assertEqual(st.vgpr[0][3], 3)
def test_v_sad_u32_basic(self):
"""V_SAD_U32 computes absolute difference of u32 values."""
instructions = [
s_mov_b32(s[0], 100),
s_mov_b32(s[1], 70),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u32(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |100-70| = 30
self.assertEqual(st.vgpr[0][3], 30)
def test_v_msad_u8_masked(self):
"""V_MSAD_U8 masked SAD operation."""
instructions = [
s_mov_b32(s[0], 0x04030201),
s_mov_b32(s[1], 0x05040302),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_msad_u8(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# V_MSAD_U8 skips bytes where src0 is 0
# Since no bytes are 0, result same as V_SAD_U8 = 4
self.assertEqual(st.vgpr[0][3], 4)
def test_v_perm_b32_select_bytes(self):
"""V_PERM_B32 selects bytes from two sources.
V_PERM_B32 concatenates {S1, S0} as a 64-bit value with S1 in low 32 bits.
Selector byte values 0-3 select from S1, values 4-7 select from S0.
"""
instructions = [
s_mov_b32(s[0], 0x44332211), # src0: bytes 4-7 in 64-bit view
s_mov_b32(s[1], 0x88776655), # src1: bytes 0-3 in 64-bit view
s_mov_b32(s[2], 0x07060504), # select bytes 4,5,6,7 (from src0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_perm_b32(v[2], v[0], v[1], s[2]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x44332211)
def test_v_dot2_f32_bf16_basic(self):
"""V_DOT2_F32_BF16 computes dot product of bf16 pairs."""
# bf16 1.0 = 0x3f80, bf16 2.0 = 0x4000
instructions = [
s_mov_b32(s[0], 0x3f803f80), # packed bf16: lo=1.0, hi=1.0
s_mov_b32(s[1], 0x40003f80), # packed bf16: lo=1.0, hi=2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_dot2_f32_bf16(v[3], v[0], v[1], v[2], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
# 1.0*1.0 + 1.0*2.0 + 0 = 3.0
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 3.0, places=4)
class TestPackedMixedSigns(unittest.TestCase):
"""Tests for packed operations with mixed sign values."""
def test_pk_add_f16_mixed_signs(self):
"""V_PK_ADD_F16 with mixed positive/negative values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0xc0003c00), # packed: hi=-2.0, lo=1.0
s_mov_b32(s[1], 0x3c003c00), # packed: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_add_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 2.0, places=2) # 1.0 + 1.0
self.assertAlmostEqual(hi, -1.0, places=2) # -2.0 + 1.0
def test_pk_mul_f16_zero(self):
"""V_PK_MUL_F16 with zero."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x40004000), # packed: 2.0, 2.0
s_mov_b32(s[1], 0x00000000), # packed: 0.0, 0.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_mul_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x00000000, "2.0 * 0.0 should be 0.0")
if __name__ == '__main__':
unittest.main()
+476
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@@ -0,0 +1,476 @@
"""Tests for VOPC instructions - vector compare operations.
Includes: v_cmp_class_f32, v_cmp_class_f16, v_cmp_eq_*, v_cmp_lt_*, v_cmp_gt_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
VCC = 106 # SGPR index for VCC_LO
class TestCmpClass(unittest.TestCase):
"""Tests for V_CMP_CLASS_F32 float classification."""
def test_cmp_class_quiet_nan(self):
"""V_CMP_CLASS_F32 detects quiet NaN."""
quiet_nan = 0x7fc00000
instructions = [
s_mov_b32(s[0], quiet_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000010), # bit 1 = quiet NaN
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect quiet NaN")
def test_cmp_class_signaling_nan(self):
"""V_CMP_CLASS_F32 detects signaling NaN."""
signal_nan = 0x7f800001
instructions = [
s_mov_b32(s[0], signal_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000001), # bit 0 = signaling NaN
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect signaling NaN")
def test_cmp_class_positive_inf(self):
"""V_CMP_CLASS_F32 detects +inf."""
pos_inf = 0x7f800000
instructions = [
s_mov_b32(s[0], pos_inf),
s_mov_b32(s[1], 0b1000000000), # bit 9 = +inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect +inf")
def test_cmp_class_negative_inf(self):
"""V_CMP_CLASS_F32 detects -inf."""
neg_inf = 0xff800000
instructions = [
s_mov_b32(s[0], neg_inf),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000100), # bit 2 = -inf
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect -inf")
def test_cmp_class_normal_positive(self):
"""V_CMP_CLASS_F32 detects positive normal."""
instructions = [
v_mov_b32_e32(v[0], 1.0),
s_mov_b32(s[1], 0b0100000000), # bit 8 = positive normal
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive normal")
def test_cmp_class_normal_negative(self):
"""V_CMP_CLASS_F32 detects negative normal."""
instructions = [
v_mov_b32_e32(v[0], -1.0),
v_mov_b32_e32(v[1], 0b0000001000), # bit 3 = negative normal
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative normal")
def test_cmp_class_quiet_nan_not_signaling(self):
"""Quiet NaN does not match signaling NaN mask."""
quiet_nan = 0x7fc00000
instructions = [
s_mov_b32(s[0], quiet_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000001), # bit 0 = signaling NaN only
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Quiet NaN should not match signaling mask")
def test_cmp_class_signaling_nan_not_quiet(self):
"""Signaling NaN does not match quiet NaN mask."""
signal_nan = 0x7f800001
instructions = [
s_mov_b32(s[0], signal_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000010), # bit 1 = quiet NaN only
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Signaling NaN should not match quiet mask")
def test_v_cmp_sets_vcc_bits(self):
"""V_CMP_EQ sets VCC bits based on per-lane comparison."""
instructions = [
s_mov_b32(s[0], 5),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
self.assertEqual(st.vcc & 0xf, 0xf, "All lanes should match")
class TestCmpClassF16(unittest.TestCase):
"""Tests for V_CMP_CLASS_F16 float classification.
Class bit mapping:
bit 0 = signaling NaN
bit 1 = quiet NaN
bit 2 = -infinity
bit 3 = -normal
bit 4 = -denormal
bit 5 = -zero
bit 6 = +zero
bit 7 = +denormal
bit 8 = +normal
bit 9 = +infinity
"""
def test_cmp_class_f16_positive_zero(self):
"""V_CMP_CLASS_F16: +zero matches bit 6."""
instructions = [
v_mov_b32_e32(v[0], 0x0000), # f16 +0.0
v_mov_b32_e32(v[1], 0x40), # bit 6 = +zero
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive zero")
def test_cmp_class_f16_negative_zero(self):
"""V_CMP_CLASS_F16: -zero matches bit 5."""
instructions = [
s_mov_b32(s[0], 0x8000), # f16 -0.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x20), # bit 5 = -zero
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative zero")
def test_cmp_class_f16_positive_normal(self):
"""V_CMP_CLASS_F16: +1.0 (normal) matches bit 8."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 +1.0
s_mov_b32(s[1], 0x100), # bit 8 = +normal
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive normal")
def test_cmp_class_f16_negative_normal(self):
"""V_CMP_CLASS_F16: -1.0 (normal) matches bit 3."""
instructions = [
s_mov_b32(s[0], 0xbc00), # f16 -1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x08), # bit 3 = -normal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative normal")
def test_cmp_class_f16_positive_infinity(self):
"""V_CMP_CLASS_F16: +inf matches bit 9."""
instructions = [
s_mov_b32(s[0], 0x7c00), # f16 +inf
s_mov_b32(s[1], 0x200), # bit 9 = +inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive infinity")
def test_cmp_class_f16_negative_infinity(self):
"""V_CMP_CLASS_F16: -inf matches bit 2."""
instructions = [
s_mov_b32(s[0], 0xfc00), # f16 -inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x04), # bit 2 = -inf
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative infinity")
def test_cmp_class_f16_quiet_nan(self):
"""V_CMP_CLASS_F16: quiet NaN matches bit 1."""
instructions = [
s_mov_b32(s[0], 0x7e00), # f16 quiet NaN
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x02), # bit 1 = quiet NaN
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect quiet NaN")
def test_cmp_class_f16_signaling_nan(self):
"""V_CMP_CLASS_F16: signaling NaN matches bit 0."""
instructions = [
s_mov_b32(s[0], 0x7c01), # f16 signaling NaN
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x01), # bit 0 = signaling NaN
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect signaling NaN")
def test_cmp_class_f16_positive_denormal(self):
"""V_CMP_CLASS_F16: positive denormal matches bit 7."""
instructions = [
v_mov_b32_e32(v[0], 1), # f16 +denormal (0x0001)
v_mov_b32_e32(v[1], 0x80), # bit 7 = +denormal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive denormal")
def test_cmp_class_f16_negative_denormal(self):
"""V_CMP_CLASS_F16: negative denormal matches bit 4."""
instructions = [
s_mov_b32(s[0], 0x8001), # f16 -denormal
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x10), # bit 4 = -denormal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative denormal")
def test_cmp_class_f16_combined_mask_zeros(self):
"""V_CMP_CLASS_F16: mask 0x60 covers both +zero and -zero."""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
v_mov_b32_e32(v[1], 0x60), # bits 5 and 6 (+-zero)
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with mask 0x60")
def test_cmp_class_f16_combined_mask_1f8(self):
"""V_CMP_CLASS_F16: mask 0x1f8 covers -normal,-denorm,-zero,+zero,+denorm,+normal.
This is the exact mask used in the f16 sin kernel at PC=46.
"""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
s_mov_b32(s[0], 0x1f8),
v_mov_b32_e32(v[1], s[0]), # mask 0x1f8
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with mask 0x1f8")
def test_cmp_class_f16_vop3_encoding(self):
"""V_CMP_CLASS_F16 in VOP3 encoding (v_cmp_class_f16_e64)."""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
s_mov_b32(s[0], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with VOP3 encoding")
def test_cmp_class_f16_vop3_normal_positive(self):
"""V_CMP_CLASS_F16 VOP3 encoding with +1.0 (normal)."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 +1.0
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +1.0 (normal) with mask 0x1f8")
def test_cmp_class_f16_vop3_nan_fails_mask(self):
"""V_CMP_CLASS_F16 VOP3: NaN should NOT match mask 0x1f8 (no NaN bits set)."""
instructions = [
s_mov_b32(s[0], 0x7e00), # f16 quiet NaN
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "VCC should be 0 for NaN with mask 0x1f8 (no NaN bits)")
def test_cmp_class_f16_vop3_inf_fails_mask(self):
"""V_CMP_CLASS_F16 VOP3: +inf should NOT match mask 0x1f8 (no inf bits set)."""
instructions = [
s_mov_b32(s[0], 0x7c00), # f16 +inf
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "VCC should be 0 for +inf with mask 0x1f8 (no inf bits)")
class TestCmpInt(unittest.TestCase):
"""Tests for integer comparison operations."""
def test_v_cmp_eq_u32(self):
"""V_CMP_EQ_U32 sets VCC bits based on per-lane comparison."""
instructions = [
s_mov_b32(s[0], 5),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
self.assertEqual(st.vcc & 0xf, 0xf, "All lanes should match")
def test_cmp_eq_u16_opsel_lo_lo(self):
"""V_CMP_EQ_U16 comparing lo halves."""
instructions = [
s_mov_b32(s[0], 0x12340005), # lo=5, hi=0x1234
s_mov_b32(s[1], 0xABCD0005), # lo=5, hi=0xABCD
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_eq_u16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Lo halves should be equal")
def test_cmp_eq_u16_opsel_hi_hi(self):
"""V_CMP_EQ_U16 comparing hi halves with VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x00051234), # hi=5, lo=0x1234
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x0005ABCD), # hi=5, lo=0xABCD
v_mov_b32_e32(v[1], s[2]),
v_cmp_eq_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "Hi halves should be equal: 5==5")
def test_cmp_eq_u16_opsel_hi_hi_equal(self):
"""V_CMP_EQ_U16 VOP3 with opsel=3 compares hi halves (equal case)."""
instructions = [
s_mov_b32(s[2], 0x12340005), # lo=5, hi=0x1234
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x12340009), # lo=9, hi=0x1234
v_mov_b32_e32(v[1], s[2]),
v_cmp_eq_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "hi==hi should be true: 0x1234==0x1234")
def test_cmp_gt_u16_opsel_hi(self):
"""V_CMP_GT_U16 VOP3 with opsel=3 compares hi halves."""
instructions = [
s_mov_b32(s[2], 0x99990005), # lo=5, hi=0x9999
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x12340005), # lo=5, hi=0x1234
v_mov_b32_e32(v[1], s[2]),
v_cmp_gt_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "hi>hi should be true: 0x9999>0x1234")
class TestCmpFloat(unittest.TestCase):
"""Tests for float comparison operations."""
def test_v_cmp_lt_f16_vsrc1_hi(self):
"""V_CMP_LT_F16 with both operands from high half using VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x3c000000), # hi=1.0 (f16), lo=0
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x40000000), # hi=2.0 (f16), lo=0
v_mov_b32_e32(v[1], s[2]),
v_cmp_lt_f16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "1.0 < 2.0 should be true")
def test_v_cmp_gt_f16_vsrc1_hi(self):
"""V_CMP_GT_F16 with both operands from high half using VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x40000000), # hi=2.0 (f16), lo=0
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x3c000000), # hi=1.0 (f16), lo=0
v_mov_b32_e32(v[1], s[2]),
v_cmp_gt_f16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "2.0 > 1.0 should be true")
def test_v_cmp_eq_f16_vsrc1_hi_equal(self):
"""v_cmp_eq_f16 with equal low and high halves."""
instructions = [
s_mov_b32(s[0], 0x42004200), # hi=3.0 (0x4200), lo=3.0 (0x4200)
v_mov_b32_e32(v[0], s[0]),
v_cmp_eq_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Expected vcc=1 (3.0 == 3.0)")
def test_v_cmp_neq_f16_vsrc1_hi(self):
"""v_cmp_neq_f16 with different low and high halves."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0 (0x4000), lo=1.0 (0x3c00)
v_mov_b32_e32(v[0], s[0]),
v_cmp_lg_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Expected vcc=1 (1.0 != 2.0)")
def test_v_cmp_nge_f16_inf_self(self):
"""v_cmp_nge_f16 comparing -inf with itself (unordered less than).
Regression test: -inf < -inf should be false (IEEE 754).
"""
instructions = [
s_mov_b32(s[0], 0xFC00FC00), # both halves = -inf (0xFC00)
v_mov_b32_e32(v[0], s[0]),
v_cmp_nge_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Expected vcc=0 (-inf >= -inf)")
def test_v_cmp_f16_multilane(self):
"""v_cmp_lt_f16 with vsrc1=v128 across multiple lanes."""
instructions = [
# Lane 0: v0 = 0x40003c00 (hi=2.0, lo=1.0) -> 1.0 < 2.0 = true
# Lane 1: v0 = 0x3c004000 (hi=1.0, lo=2.0) -> 2.0 < 1.0 = false
v_mov_b32_e32(v[0], 0x40003c00), # default
v_cmp_eq_u32_e32(1, v[255]), # vcc = (lane == 1)
v_cndmask_b32_e64(v[0], v[0], 0x3c004000, SrcEnum.VCC_LO),
v_cmp_lt_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=2)
self.assertEqual(st.vcc & 1, 1, "Lane 0: expected vcc=1 (1.0 < 2.0)")
self.assertEqual((st.vcc >> 1) & 1, 0, "Lane 1: expected vcc=0 (2.0 < 1.0)")
class TestVCCBehavior(unittest.TestCase):
"""Tests for VCC condition code behavior."""
def test_vcc_all_lanes_true(self):
"""VCC should have all bits set when all lanes compare true."""
instructions = [
v_mov_b32_e32(v[0], 5),
v_mov_b32_e32(v[1], 5),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=32)
self.assertEqual(st.vcc, 0xFFFFFFFF, "All 32 lanes should be true")
def test_vcc_lane_dependent(self):
"""VCC should differ per lane based on lane_id comparison."""
instructions = [
v_mov_b32_e32(v[0], 16),
v_cmp_lt_u32_e32(v[255], v[0]), # lanes 0-15 are < 16
]
st = run_program(instructions, n_lanes=32)
self.assertEqual(st.vcc & 0xFFFF, 0xFFFF, "Lanes 0-15 should be true")
self.assertEqual(st.vcc >> 16, 0x0000, "Lanes 16-31 should be false")
if __name__ == '__main__':
unittest.main()
@@ -1,16 +1,17 @@
# Test to compare Python and Rust RDNA3 emulators by running real tinygrad kernels
import unittest, ctypes
import unittest, ctypes, os
from dataclasses import dataclass
from pathlib import Path
from tinygrad import Device
from test.mockgpu.amd.emu import WaveState, _decode_at, WAVE_SIZE, VCC_LO, EXEC_LO, SCC
from tinygrad.renderer.amd import decode_inst
import tinygrad
REMU_PATH = Path(tinygrad.__file__).parent.parent / "extra/remu/target/release/libremu.so"
if not REMU_PATH.exists(): REMU_PATH = Path(tinygrad.__file__).parent.parent / "extra/remu/target/release/libremu.dylib"
# Set environment before any tinygrad imports to use MOCKGPU
# This allows generating AMD GPU kernels without requiring real hardware
os.environ["AMD"] = "1"
os.environ["MOCKGPU"] = "1"
os.environ["PYTHON_REMU"] = "1"
def set_valid_mem_ranges(ranges): pass # emu2 doesn't need this
from extra.assembly.amd.emu import WaveState, decode_program, WAVE_SIZE, set_valid_mem_ranges, LDSMem
from extra.assembly.amd.test.helpers import KernelInfo
from extra.assembly.amd.test.bench_emu import REMU_PATH
def _is_f32_nan(bits: int) -> bool:
"""Check if 32-bit value is a NaN (exponent all 1s, mantissa non-zero)."""
@@ -21,15 +22,6 @@ def _vals_equal(a: int, b: int) -> bool:
if a == b: return True
return _is_f32_nan(a) and _is_f32_nan(b)
@dataclass
class KernelSnapshot:
code: bytes
src: str
global_size: tuple[int, int, int]
local_size: tuple[int, int, int]
buf_idxs: list[int] # indices into shared buffer pool
buf_sizes: list[int] # sizes for each buffer index
@dataclass
class StateSnapshot:
pc: int
@@ -93,71 +85,39 @@ class RustEmulator:
return snap.to_snapshot()
def free(self):
if self.ctx:
self.lib.wave_free(self.ctx)
self.ctx = None
if self.ctx: self.lib.wave_free(self.ctx); self.ctx = None
class PythonEmulator:
def __init__(self):
self.state: WaveState | None = None
self.program: dict[int, tuple] = {} # lazily populated: pc -> (name, fxn, globals)
self.vmem_buf = None
self.lds_buf = None
self.kernel_buf = None # Keep kernel bytes alive
self.lib_addr = 0 # Base address of kernel code
self.program: dict | None = None
def create(self, kernel: bytes, n_lanes: int):
import ctypes
from tinygrad.device import Buffer, BufferSpec
from tinygrad.dtype import dtypes
# Store kernel in a ctypes buffer so _decode_at can read from memory at actual PC address
self.kernel_buf = (ctypes.c_char * len(kernel)).from_buffer_copy(kernel)
self.lib_addr = ctypes.addressof(self.kernel_buf)
self.program = {}
self.state = WaveState(n_lanes)
self.state.pc = self.lib_addr # Set PC to code base address
self.vmem_buf = Buffer('CPU', 1 << 40, dtypes.uint32, options=BufferSpec(external_ptr=0)).ensure_allocated()
self.lds_buf = Buffer('CPU', 65536 // 4, dtypes.uint32).ensure_allocated()
def _ensure_decoded(self, pc: int):
if pc not in self.program:
runner, _ = _decode_at(pc, "rdna3")
self.program[pc] = (runner.p.function_name, runner._prg.fxn, runner.p.globals)
self.program = decode_program(kernel)
self.state = WaveState(LDSMem(bytearray(65536)), n_lanes)
self.state.exec_mask = (1 << n_lanes) - 1
def step(self) -> int:
import ctypes
assert self.state is not None
pc = self.state.pc
if pc == 0xFFFFFFFFFFFFFFFF: return -1
self._ensure_decoded(pc)
name, fxn, globals_list = self.program[pc]
buf_addrs = {0: self.state.sgpr_buf._buf.va_addr, 1: self.state.vgpr_buf._buf.va_addr, # type: ignore[union-attr]
2: self.vmem_buf._buf.va_addr, 3: self.lds_buf._buf.va_addr} # type: ignore[union-attr]
fxn(*[ctypes.c_uint64(buf_addrs[g]) for g in globals_list], ctypes.c_int32(0))
return -1 if self.state.pc == 0xFFFFFFFFFFFFFFFF else 0
assert self.program is not None and self.state is not None
return self.program[self.state.pc]._dispatch(self.state, self.program[self.state.pc])
def set_sgpr(self, idx: int, val: int):
assert self.state is not None
self.state._write_sgpr(idx, val)
self.state.sgpr[idx] = val & 0xffffffff
def set_vgpr(self, lane: int, idx: int, val: int):
assert self.state is not None
self.state._write_vgpr(idx, lane, val)
self.state.vgpr[lane][idx] = val & 0xffffffff
def get_snapshot(self) -> StateSnapshot:
assert self.state is not None
sgpr = [self.state._read_sgpr(i) for i in range(128)]
vgpr = [[self.state._read_vgpr(reg, lane) for reg in range(256)] for lane in range(WAVE_SIZE)]
# Convert actual PC address to word offset for comparison with Rust emulator
pc_offset = (self.state.pc - self.lib_addr) // 4 if self.state.pc != 0xFFFFFFFFFFFFFFFF else 0xFFFFFFFFFFFFFFFF
return StateSnapshot(pc=pc_offset, scc=self.state._read_sgpr(SCC.offset), vcc=sgpr[VCC_LO.offset],
exec_mask=sgpr[EXEC_LO.offset], sgpr=sgpr, vgpr=vgpr)
return StateSnapshot(pc=self.state.pc, scc=self.state.scc, vcc=self.state.vcc & 0xffffffff,
exec_mask=self.state.exec_mask & 0xffffffff, sgpr=list(self.state.sgpr),
vgpr=[list(self.state.vgpr[i]) for i in range(WAVE_SIZE)])
def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: tuple[int, int, int],
local_size: tuple[int, int, int], max_steps: int, debug: bool, trace_len: int,
kernel_idx: int = 0, max_workgroups: int = 8) -> tuple[bool, str, int]:
program, max_steps: int, debug: bool, trace_len: int, kernel_idx: int = 0,
max_workgroups: int = 8) -> tuple[bool, str, int]:
"""Run a single kernel through both emulators. Returns (success, message, total_steps)."""
gx, gy, gz = global_size
lx, ly, lz = local_size
total_steps = 0
wg_count = 0
@@ -180,53 +140,28 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
emu.set_sgpr(13, gidx)
emu.set_sgpr(14, gidy)
emu.set_sgpr(15, gidz)
# Initialize v[0] with packed workitem IDs for each lane
for lane in range(n_lanes):
tid = lane
z, y, x = tid // (lx * ly), (tid // lx) % ly, tid % lx
emu.set_vgpr(lane, 0, (z << 20) | (y << 10) | x)
step = 0
trace: list[tuple[int, int, str, StateSnapshot, StateSnapshot]] = []
prev_sync_after = False # Track if previous instruction had known Rust bugs
try:
while step < max_steps:
rust_before = rust.get_snapshot()
python_before = python.get_snapshot()
pc_addr = python.lib_addr + python_before.pc * 4 # Convert word offset to actual address
python._ensure_decoded(pc_addr)
inst_hex_name = python.program[pc_addr][0]
# Decode the instruction to get mnemonic for sync_after checks
try:
# Format is mnemonic_hexbytes, e.g. v_exp_f32_e32_014b027e -> hex is 014b027e
parts = inst_hex_name.rsplit('_', 1)
inst_bytes_hex = parts[1] if len(parts) == 2 else ""
inst_bytes = bytes.fromhex(inst_bytes_hex) if inst_bytes_hex else b''
decoded = decode_inst(inst_bytes) if inst_bytes else None
inst_mnemonic = repr(decoded).split('(')[0] if decoded else ""
except Exception:
inst_mnemonic = ""
# For generic instructions, use function name for sync_after check
if not inst_mnemonic: inst_mnemonic = inst_hex_name
inst_str = inst_hex_name
inst = program.get(python_before.pc)
inst_str = inst.disasm() if inst else f"unknown at PC={python_before.pc}"
trace.append((step, python_before.pc, inst_str, rust_before, python_before))
if len(trace) > trace_len: trace.pop(0)
if debug: print(f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step}: PC={python_before.pc}, inst={inst_str}")
# Instructions with known Rust emulator bugs or precision differences - sync Python to Rust after execution
# Instructions with known Rust emulator bugs - sync Python to Rust after execution
# v_div_scale/v_div_fixup: Rust has different VCC handling
# v_cvt_f16_f32: Rust clears high 16 bits, but hardware (and Python) preserves them
# s_add_i32/s_sub_i32: Rust has incorrect SCC overflow detection
# v_exp_f32/v_log_f32/v_ldexp_f32: precision differences in transcendental functions
# s_delay_alu: Rust handles differently
# v_add_co_ci_u32/v_sub_co_ci_u32/v_subrev_co_ci_u32: Rust preserves inactive VCC bits, but hardware clears all bits
sync_after = any(x in inst_mnemonic.lower() for x in ('v_div_scale', 'v_div_fixup', 'v_cvt_f16_f32', 's_add_i32', 's_sub_i32',
'v_exp_f32', 'v_log_f32', 'v_ldexp_f32', 's_delay_alu',
'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'))
# Skip comparison if previous instruction had known Rust bugs (states were synced but may still differ slightly)
diffs = rust_before.diff(python_before, n_lanes) if not prev_sync_after else []
sync_after = any(x in inst_str for x in ('v_div_scale_f32', 'v_div_scale_f64', 'v_div_fixup_f32', 'v_div_fixup_f64',
'v_cvt_f16_f32', 's_add_i32', 's_sub_i32'))
diffs = rust_before.diff(python_before, n_lanes)
if diffs:
trace_lines = []
for idx, (s, pc, d, rb, pb) in enumerate(trace):
@@ -237,18 +172,16 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
python_diffs = pb.diff(next_pb, n_lanes, "->")
if rust_diffs: trace_lines.append(f" rust: {', '.join(rust_diffs[:5])}")
if python_diffs: trace_lines.append(f" python: {', '.join(python_diffs[:5])}")
elif rust_diffs: trace_lines.append(" python: (no changes)")
elif rust_diffs: trace_lines.append(f" python: (no changes)")
else:
# Last traced instruction - compare with current state
rust_diffs = rb.diff(rust_before, n_lanes, "->")
python_diffs = pb.diff(python_before, n_lanes, "->")
if rust_diffs: trace_lines.append(f" rust: {', '.join(rust_diffs[:5])}")
if python_diffs: trace_lines.append(f" python: {', '.join(python_diffs[:5])}")
elif rust_diffs: trace_lines.append(" python: (no changes)")
elif rust_diffs: trace_lines.append(f" python: (no changes)")
trace_str = "\n".join(trace_lines)
msg = f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step} before inst '{inst_str}': states differ (rust vs python):\n "
msg += "\n ".join(diffs[:10]) + f"\n Recent instructions:\n{trace_str}"
return False, msg, total_steps
return False, f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step} before inst '{inst_str}': states differ (rust vs python):\n " + "\n ".join(diffs[:10]) + f"\n Recent instructions:\n{trace_str}", total_steps
rust_result = rust.step()
python_result = python.step()
@@ -258,9 +191,7 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
if rust_result == 1 and python_result == 0:
raise unittest.SkipTest(f"Rust emulator doesn't support instruction: {inst_str}")
trace_str = "\n".join(f" step {s}: PC={pc:3d} {d}" for s, pc, d, _, _ in trace)
msg = (f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step}: different return codes: "
f"rust={rust_result}, python={python_result}, inst={inst_str}\n Recent instructions:\n{trace_str}")
return False, msg, total_steps
return False, f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step}: different return codes: rust={rust_result}, python={python_result}, inst={inst_str}\n Recent instructions:\n{trace_str}", total_steps
# Sync Python state to Rust after instructions with known Rust emulator differences
if sync_after:
@@ -269,12 +200,7 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
for lane in range(n_lanes):
for i in range(256): python.set_vgpr(lane, i, rust_after.vgpr[lane][i])
assert python.state is not None
# Convert Rust's word-based PC to Python's actual address
python.state.pc = python.lib_addr + rust_after.pc * 4
python.state._write_sgpr(SCC.offset, rust_after.scc)
python.state._write_sgpr(VCC_LO.offset, rust_after.vcc)
python.state._write_sgpr(EXEC_LO.offset, rust_after.exec_mask)
prev_sync_after = sync_after
python.state.pc, python.state.scc, python.state.vcc, python.state.exec_mask = rust_after.pc, rust_after.scc, rust_after.vcc, rust_after.exec_mask
if rust_result == -1:
total_steps += step + 1
@@ -293,7 +219,7 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
return True, f"Completed {gx*gy*gz} workgroups", total_steps
def compare_emulators_multi_kernel(kernels: list[KernelSnapshot], buf_pool: dict[int, int], max_steps: int = 1000,
def compare_emulators_multi_kernel(kernels: list[KernelInfo], buf_pool: dict[int, int], max_steps: int = 1000,
debug: bool = False, trace_len: int = 10, buf_data: dict[int, bytes] | None = None) -> tuple[bool, str]:
"""Run all kernels through both emulators with shared buffer pool."""
if buf_data is None: buf_data = {}
@@ -323,11 +249,12 @@ def compare_emulators_multi_kernel(kernels: list[KernelSnapshot], buf_pool: dict
kernel_ranges = ranges | {(args_ptr, ctypes.sizeof(args))}
set_valid_mem_ranges(kernel_ranges)
program = decode_program(kernel.code)
n_lanes = kernel.local_size[0] * kernel.local_size[1] * kernel.local_size[2]
ok, msg, steps = run_single_kernel(
kernel.code, min(n_lanes, 32), args_ptr, kernel.global_size,
kernel.local_size, max_steps, debug, trace_len, ki
program, max_steps, debug, trace_len, ki
)
total_steps += steps
if not ok:
@@ -353,11 +280,11 @@ def compare_emulators_with_memory(kernel: bytes, n_lanes: int, buf_sizes: list,
ranges.add((args_ptr, ctypes.sizeof(args)))
set_valid_mem_ranges(ranges)
# Legacy wrapper assumes local_size = (n_lanes, 1, 1)
ok, msg, _ = run_single_kernel(kernel, n_lanes, args_ptr, global_size, (n_lanes, 1, 1), max_steps, debug, trace_len)
program = decode_program(kernel)
ok, msg, _ = run_single_kernel(kernel, n_lanes, args_ptr, global_size, program, max_steps, debug, trace_len)
return ok, msg
def get_kernels_from_tinygrad(op_fn) -> tuple[list[KernelSnapshot], dict[int, int], dict[int, bytes]]:
def get_kernels_from_tinygrad(op_fn) -> tuple[list[KernelInfo], dict[int, int], dict[int, bytes]]:
"""Compile a tinygrad operation and extract all kernels with their buffer mappings."""
from tinygrad import Tensor
from tinygrad.runtime.support.elf import elf_loader
@@ -395,9 +322,8 @@ def get_kernels_from_tinygrad(op_fn) -> tuple[list[KernelSnapshot], dict[int, in
buf_pool[buf_id] = b.nbytes
buf_idxs.append(buf_id)
buf_sizes.append(b.nbytes)
kernels.append(KernelSnapshot(
kernels.append(KernelInfo(
code=bytes(sec.content),
src=lowered.prg.p.src,
global_size=tuple(lowered.prg.p.global_size),
local_size=tuple(lowered.prg.p.local_size),
buf_idxs=buf_idxs,
@@ -412,7 +338,6 @@ def get_kernel_from_tinygrad(op_fn) -> tuple[bytes, tuple[int, int, int], tuple[
k = kernels[-1]
return k.code, k.global_size, k.local_size, k.buf_sizes
@unittest.skipUnless(Device.DEFAULT == "AMD", "requires AMD device")
class TestTinygradKernels(unittest.TestCase):
"""Compare emulators on real tinygrad-compiled kernels."""
@@ -449,8 +374,7 @@ class TestTinygradKernels(unittest.TestCase):
def test_cast(self): self._test_kernel(lambda T: T.empty(32).half().float() + T.empty(32).int().float())
# Pooling - regression for VCC wave32 mode
def test_pool2d(self):
self._test_kernel(lambda T: T.empty(1, 1, 8, 8).avg_pool2d(kernel_size=(4,4)) + T.empty(1, 1, 8, 8).max_pool2d(kernel_size=(4,4)))
def test_pool2d(self): self._test_kernel(lambda T: T.empty(1, 1, 8, 8).avg_pool2d(kernel_size=(4,4)) + T.empty(1, 1, 8, 8).max_pool2d(kernel_size=(4,4)))
# Convolution
def test_conv2d(self): self._test_kernel(lambda T: T.empty(1, 2, 8, 8).conv2d(T.empty(2, 2, 3, 3)), max_steps=50000)
@@ -462,7 +386,6 @@ class TestTinygradKernels(unittest.TestCase):
from tinygrad import dtypes
self._test_kernel(lambda T: T.empty(4, 4)[T.arange(4).cast(dtypes.int64), :])
def test_gelu(self): self._test_kernel(lambda T: T.empty(32, 32).gelu())
def test_exp(self): self._test_kernel(lambda T: T.empty(1024).exp())
def test_cross_entropy(self):
import numpy as np
np.random.seed(0)
@@ -474,55 +397,5 @@ class TestTinygradKernels(unittest.TestCase):
from tinygrad import dtypes
self._test_kernel(lambda T: T([2.0], dtype=dtypes.float64).sin())
def test_sin_large_f32(self):
"""Test sin with large values that trigger Payne-Hanek range reduction."""
# Values around 859240 trigger the Payne-Hanek algorithm
# This tests the integer multiply-high instructions used in range reduction
self._test_kernel(lambda T: T([859240.0, 1000000.0, 100594688.0]).sin())
def test_clip_zero_one(self):
"""Test clip(0, 1) - regression for binary_crossentropy failure."""
import numpy as np
np.random.seed(0)
x_np = np.random.uniform(-2, 2, (32, 10)).astype(np.float32).tolist()
self._test_kernel(lambda T: T(x_np).clip(0, 1))
def test_mod_int64(self):
"""Test int64 modulo, especially edge cases like 1 % -1."""
from tinygrad import dtypes
self._test_kernel(lambda T: T([1, 10, -10, 7], dtype=dtypes.int64) % T([-1, 3, 3, -3], dtype=dtypes.int64))
def test_expand_flatten_sum(self):
"""Test flatten of expanded tensor followed by sum.
Bug: flatten() of an expanded tensor produces wrong results for certain sizes.
Sizes that are multiples of 32 work (32, 48, 64), but sizes like 33, 49, 50 fail.
This breaks masked_select and nonzero operations.
"""
import numpy as np
np.random.seed(0)
x_np = np.random.uniform(-2, 2, (33,)).astype(np.float32)
self._test_kernel(lambda T: (T(x_np.tolist()) > 0.5).unsqueeze(-1).expand(33, 3).flatten().sum())
@unittest.skip("slow and broken with AMD_LLVM=1")
def test_nonzero(self):
"""Test nonzero operation - counts and gathers indices of non-zero elements."""
import numpy as np
np.random.seed(42)
x_np = np.random.rand(10, 5, 3).astype(np.float32)
self._test_kernel(lambda T: (T(x_np.tolist()) > 0.5).nonzero())
@unittest.skip("Precision differences in v_exp/v_log accumulate across kernels, causing memory divergence")
def test_softmax_argmax_fused(self):
"""Test fused softmax+argmax - tracks exp2 precision issue.
The fused kernel recomputes softmax inline and Python emulator's exp2 polynomial
has up to 1 ULP error vs native exp2f, causing accumulated differences.
"""
import torch
torch.manual_seed(0)
x_np = torch.rand(4, 10).numpy()
self._test_kernel(lambda T: T(x_np.tolist()).softmax(1).argmax())
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,48 @@
import unittest
import functools
from tinygrad import Tensor, Device, dtypes
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.renderer import Estimates
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import s, v, Inst
def assemble_insts(insts:list[Inst], name:str, arch:str, kernarg_size:int=8) -> tuple[UOp, UOp]:
kd = {"kernarg_size":kernarg_size, "user_sgpr_kernarg_segment_ptr":1, "next_free_vgpr":8, "next_free_sgpr":8, "wavefront_size32":1}
disasm = "\n".join([inst.disasm() for inst in insts])
hsasrc = f".text\n.globl {name}\n.p2align 8\n.type fn_name,@function\n{name}:\n{disasm}\ns_code_end\n"
hsasrc += f".rodata\n.p2align 6\n.amdhsa_kernel {name}\n"+"\n".join([f".amdhsa_{k} {v}" for k,v in kd.items()])+"\n.end_amdhsa_kernel"
binary = HIPCompiler(arch).compile(hsasrc)
return UOp(Ops.SOURCE, arg=disasm), UOp(Ops.BINARY, arg=binary)
def custom_add_one(A:UOp, arch:str) -> UOp:
A = A.flatten()
assert dtypes.is_float(A.dtype.base), f"buffer dtype must be float32, got {A.dtype}"
threads = UOp.special(A.size, "lidx0")
insts = [
s_load_b64(s[0:1], s[0:1], soffset=NULL),
s_waitcnt(lgkmcnt=0),
v_lshlrev_b32_e32(v[0], 2, v[0]), # element offset
global_load_b32(v[1], v[0], saddr=s[0:1]),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[2], 1.0),
v_add_f32_e32(v[1], v[1], v[2]),
global_store_b32(addr=v[0], data=v[1], saddr=s[0:1]),
s_endpgm(),
]
sink = UOp.sink(A.base, threads, arg=KernelInfo(name:=f"custom_add_one_{A.size}", estimates=Estimates(ops=A.size, mem=A.size*4*2)))
return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.DEVICE, arg="AMD"), UOp(Ops.LINEAR, src=(*sink.src, sink)), *assemble_insts(insts, name, arch)))
class TestCustomKernel(unittest.TestCase):
def test_simple(self):
a = Tensor.full((16, 16), 1.).contiguous().realize()
a = Tensor.custom_kernel(a, fxn=functools.partial(custom_add_one, arch=Device[Device.DEFAULT].arch))[0]
ei = a.schedule()[-1].lower()
self.assertEqual(ei.prg.estimates.ops, a.numel())
self.assertEqual(ei.prg.estimates.mem, a.nbytes()*2)
ei.run()
self.assertTrue((a.numpy() == 2.).all())
if __name__ == "__main__":
unittest.main()
@@ -1,8 +1,8 @@
import unittest
from tinygrad.renderer.amd.dsl import *
from tinygrad.renderer.amd.dsl import VDSTYField
from tinygrad.runtime.autogen.amd.rdna3.enum import VOP1Op, VOP2Op
from tinygrad.runtime.autogen.amd.rdna3.ins import VOP1
from extra.assembly.amd.dsl import *
from extra.assembly.amd.dsl import VDSTYField
from extra.assembly.amd.autogen.rdna3.enum import VOP1Op, VOP2Op
from extra.assembly.amd.autogen.rdna3.ins import VOP1
class TestRegisters(unittest.TestCase):
def test_vgpr_single(self):
@@ -4,10 +4,10 @@
Note: Graphics-only formats (EXP, MUBUF, MTBUF, MIMG) are not supported - use GLOBAL/FLAT for memory access in compute.
"""
import unittest
from tinygrad.runtime.autogen.amd.rdna3.ins import *
from tinygrad.renderer.amd.dsl import VCC_HI, EXEC_LO, NULL
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import VCC_HI, EXEC_LO, NULL
OFF = NULL # OFF is alias for NULL
from tinygrad.renderer.amd import detect_format
from extra.assembly.amd.decode import detect_format
class TestDS(unittest.TestCase):
@@ -213,8 +213,8 @@ class TestDetectFormat(unittest.TestCase):
self.assertEqual(detect_format(ds_store_b32(v[0], v[1]).to_bytes()), DS)
def test_detect_flat(self):
self.assertEqual(detect_format(global_load_b32(vdst=v[0], addr=v[1:2], saddr=NULL).to_bytes()), GLOBAL)
self.assertEqual(detect_format(global_store_b32(addr=v[0:1], data=v[2], saddr=NULL).to_bytes()), GLOBAL)
self.assertEqual(detect_format(global_load_b32(vdst=v[0], addr=v[1:2], saddr=NULL).to_bytes()), FLAT)
self.assertEqual(detect_format(global_store_b32(addr=v[0:1], data=v[2], saddr=NULL).to_bytes()), FLAT)
def test_detect_vopd(self):
inst = VOPD(VOPDOp.V_DUAL_MOV_B32, VOPDOp.V_DUAL_MOV_B32, vdstx=v[0], vdsty=v[1], srcx0=0, srcy0=0)
@@ -2,26 +2,21 @@
# the Inst constructor should be looking at the types of the fields to correctly set the value
import unittest, struct
from tinygrad.runtime.autogen.amd.rdna3.ins import *
from tinygrad.renderer.amd.dsl import Inst
from test.amd.test_roundtrip import compile_asm
from test.amd.disasm import disasm
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.test.test_roundtrip import compile_asm
class IntegrationTestBase(unittest.TestCase):
class TestIntegration(unittest.TestCase):
inst: Inst
arch: str
def tearDown(self):
if not hasattr(self, 'inst'): return
b = self.inst.to_bytes()
st = disasm(self.inst)
st = self.inst.disasm()
# Test that the instruction can be compiled by LLVM and produces the same bytes
desc = f"{st:25s} {self.inst} {b!r}"
self.assertEqual(b, compile_asm(st, arch=self.arch), desc)
self.assertEqual(b, compile_asm(st), desc)
print(desc)
class TestIntegration(IntegrationTestBase):
arch: str = "rdna3"
def test_wmma(self):
self.inst = v_wmma_f32_16x16x16_f16(v[0:7], v[184:191], v[136:143], v[0:7])
@@ -129,17 +124,6 @@ class TestIntegration(IntegrationTestBase):
int_inst = s_mov_b32(s[0], struct.unpack("I", struct.pack("f", 1337.0))[0])
self.assertEqual(self.inst, int_inst)
class TestIntegrationCDNA(IntegrationTestBase):
arch = "cdna"
def test_mfma(self):
from tinygrad.runtime.autogen.amd.cdna.ins import v_mfma_f32_16x16x16_f16
self.inst = v_mfma_f32_16x16x16_f16(v[0:3], v[0:1], v[0:1], 0)
def test_mfma_fp8(self):
from tinygrad.runtime.autogen.amd.cdna.ins import v_mfma_f32_16x16x128_f8f6f4
self.inst = v_mfma_f32_16x16x128_f8f6f4(v[0:3], v[0:5], v[0:5], 1, cbsz=2, blgp=2)
class TestRegisterSliceSyntax(unittest.TestCase):
"""
Issue: Register slice syntax should use AMD assembly convention (inclusive end).
@@ -161,9 +145,9 @@ class TestRegisterSliceSyntax(unittest.TestCase):
# Round-trip: DSL -> disasm -> DSL should preserve register count
reg = s[4:7] # 4 registers in AMD convention
inst = s_load_b128(reg, s[0:1], NULL, 0)
d = disasm(inst)
disasm = inst.disasm()
# Disasm shows s[4:7] - user should be able to copy this back
self.assertIn("s[4:7]", d)
self.assertIn("s[4:7]", disasm)
# And s[4:7] in DSL should give the same 4 registers
reg_from_disasm = s[4:7]
self.assertEqual(reg_from_disasm.sz, 4, "s[4:7] from disasm should give 4 registers")
+258
View File
@@ -0,0 +1,258 @@
#!/usr/bin/env python3
"""Integration test: round-trip RDNA3 assembly through AMD toolchain."""
import unittest, io, sys
from extra.assembly.amd.autogen.rdna3.ins import *
def waitcnt(vmcnt: int = 0x3f, expcnt: int = 0x7, lgkmcnt: int = 0x3f) -> int:
return (expcnt & 0x7) | ((lgkmcnt & 0x3f) << 4) | ((vmcnt & 0x3f) << 10)
def disassemble(lib: bytes, arch: str = "gfx1100") -> str:
"""Disassemble ELF binary using tinygrad's compiler, return raw output."""
from tinygrad.runtime.support.compiler_amd import HIPCompiler
old_stdout = sys.stdout
sys.stdout = io.StringIO()
HIPCompiler(arch).disassemble(lib)
output = sys.stdout.getvalue()
sys.stdout = old_stdout
return output
def parse_disassembly(raw: str) -> list[str]:
"""Parse disassembly output to list of instruction mnemonics."""
lines = []
for line in raw.splitlines():
if line.startswith('\t'):
instr = line.split('//')[0].strip()
if instr: lines.append(instr)
return lines
def assemble_and_disassemble(instructions: list, arch: str = "gfx1100") -> list[str]:
"""Assemble instructions with our DSL, then disassemble with AMD toolchain."""
from tinygrad.runtime.support.compiler_amd import HIPCompiler
# Generate bytes from our DSL
code_bytes = b''.join(inst.to_bytes() for inst in instructions)
# Wrap in minimal ELF-compatible assembly with .byte directives
byte_str = ', '.join(f'0x{b:02x}' for b in code_bytes)
asm_src = f".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n.byte {byte_str}\n"
# Assemble with AMD COMGR and disassemble
lib = HIPCompiler(arch).compile(asm_src)
return parse_disassembly(disassemble(lib, arch))
class TestIntegration(unittest.TestCase):
"""Test our DSL output matches LLVM disassembly."""
def test_simple_sop1(self):
"""Test SOP1 instructions round-trip."""
instructions = [
s_mov_b32(s[0], s[1]),
s_mov_b32(s[2], 0),
s_not_b32(s[3], s[4]),
]
disasm = assemble_and_disassemble(instructions)
self.assertIn('s_mov_b32', disasm[0])
self.assertIn('s_mov_b32', disasm[1])
self.assertIn('s_not_b32', disasm[2])
def test_simple_sop2(self):
"""Test SOP2 instructions round-trip."""
instructions = [
s_add_u32(s[0], s[1], s[2]),
s_sub_u32(s[3], s[4], 10),
s_and_b32(s[5], s[6], s[7]),
]
disasm = assemble_and_disassemble(instructions)
self.assertIn('s_add_u32', disasm[0])
self.assertIn('s_sub_u32', disasm[1])
self.assertIn('s_and_b32', disasm[2])
def test_simple_vop2(self):
"""Test VOP2 instructions round-trip."""
instructions = [
v_add_f32_e32(v[0], v[1], v[2]),
v_mul_f32_e32(v[3], 1.0, v[4]), # 1.0 is inline constant
v_and_b32_e32(v[5], 10, v[6]), # small inline constant
]
disasm = assemble_and_disassemble(instructions)
self.assertIn('v_add_f32', disasm[0])
self.assertIn('v_mul_f32', disasm[1])
def test_control_flow(self):
"""Test control flow instructions."""
instructions = [
s_waitcnt(simm16=waitcnt(lgkmcnt=0)),
s_endpgm(),
]
disasm = assemble_and_disassemble(instructions)
self.assertIn('s_waitcnt', disasm[0])
self.assertIn('s_endpgm', disasm[1])
def test_memory_ops(self):
"""Test memory instructions."""
instructions = [
s_load_b32(s[0], s[0:1], NULL),
s_waitcnt(simm16=waitcnt(lgkmcnt=0)),
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
disasm = assemble_and_disassemble(instructions)
self.assertIn('s_load_b32', disasm[0])
self.assertIn('s_waitcnt', disasm[1])
self.assertIn('global_store_b32', disasm[2])
def test_full_kernel(self):
"""Test a complete kernel similar to tinygrad output."""
# Simple kernel: load value, add 1, store back
instructions = [
# Get thread ID
v_mov_b32_e32(v[0], s[0]), # base addr low
v_mov_b32_e32(v[1], s[1]), # base addr high
# Load value
global_load_b32(vdst=v[2], addr=v[0:1], saddr=OFF),
s_waitcnt(simm16=waitcnt(vmcnt=0)),
# Add 1.0
v_add_f32_e32(v[2], 1.0, v[2]),
# Store result
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
disasm = assemble_and_disassemble(instructions)
# Verify key instructions are present
self.assertTrue(any('global_load' in d for d in disasm))
self.assertTrue(any('v_add_f32' in d for d in disasm))
self.assertTrue(any('global_store' in d for d in disasm))
self.assertTrue(any('s_endpgm' in d for d in disasm))
def test_bytes_roundtrip(self):
"""Test that our bytes match what AMD assembler produces."""
from tinygrad.runtime.support.compiler_amd import HIPCompiler
# Simple instruction
inst = s_mov_b32(s[0], s[1])
our_bytes = inst.to_bytes()
# Assemble same instruction with AMD toolchain
asm_src = ".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\ns_mov_b32 s0, s1\n"
compiler = HIPCompiler("gfx1100")
lib = compiler.compile(asm_src)
raw = disassemble(lib)
for line in raw.splitlines():
if 's_mov_b32' in line and '//' in line:
# Extract hex bytes from comment: "// 000000001300: BE800001"
comment = line.split('//')[1].strip()
hex_str = comment.split(':')[1].strip()
# Convert big-endian hex string to little-endian bytes
amd_bytes = bytes.fromhex(hex_str)[::-1] # reverse for little-endian
self.assertEqual(our_bytes, amd_bytes, f"Bytes mismatch: ours={our_bytes.hex()} AMD={amd_bytes.hex()}")
return
self.fail("Could not find s_mov_b32 in disassembly")
class TestTinygradIntegration(unittest.TestCase):
"""Test that we can parse disassembled tinygrad kernels."""
def test_simple_add_kernel(self):
"""Generate a simple add kernel from tinygrad and verify disassembly."""
from tinygrad import Tensor
from tinygrad.codegen import get_program
from tinygrad.renderer.cstyle import AMDHIPRenderer
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from tinygrad.uop.ops import Ops
# Create a computation that generates a real kernel
a = Tensor([1.0, 2.0, 3.0, 4.0]).realize()
b = Tensor([5.0, 6.0, 7.0, 8.0]).realize()
c = a + b
# Get schedule and find SINK
schedule = c.schedule()
sink_items = [si for si in schedule if si.ast.op == Ops.SINK]
self.assertTrue(len(sink_items) > 0, "No SINK in schedule")
# Generate program
renderer = AMDHIPRenderer('gfx1100')
prg = get_program(sink_items[0].ast, renderer)
self.assertIsNotNone(prg.src)
# Compile and disassemble
compiler = HIPCompiler('gfx1100')
lib = compiler.compile(prg.src)
raw_disasm = disassemble(lib)
instrs = parse_disassembly(raw_disasm)
# Verify we got some instructions
self.assertTrue(len(instrs) > 0, "No instructions in disassembly")
# Should have an endpgm
self.assertTrue(any('s_endpgm' in i for i in instrs), "Missing s_endpgm")
def test_matmul_kernel(self):
"""Generate a matmul kernel and verify disassembly has expected patterns."""
from tinygrad import Tensor
from tinygrad.codegen import get_program
from tinygrad.renderer.cstyle import AMDHIPRenderer
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from tinygrad.uop.ops import Ops
# Create a small matmul
a = Tensor.rand(4, 4).realize()
b = Tensor.rand(4, 4).realize()
c = a @ b
# Get schedule
schedule = c.schedule()
sink_items = [si for si in schedule if si.ast.op == Ops.SINK]
self.assertTrue(len(sink_items) > 0)
# Generate and compile
renderer = AMDHIPRenderer('gfx1100')
prg = get_program(sink_items[0].ast, renderer)
compiler = HIPCompiler('gfx1100')
lib = compiler.compile(prg.src)
raw_disasm = disassemble(lib)
instrs = parse_disassembly(raw_disasm)
# Matmul should have multiply and add instructions
has_mul = any('mul' in i.lower() for i in instrs)
has_add = any('add' in i.lower() for i in instrs)
self.assertTrue(has_mul or has_add, "Matmul should have mul/add ops")
def test_disasm_to_bytes_roundtrip(self):
"""Parse disassembled instructions and verify we can re-encode some of them."""
from tinygrad import Tensor
from tinygrad.codegen import get_program
from tinygrad.renderer.cstyle import AMDHIPRenderer
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from tinygrad.uop.ops import Ops
# Simple kernel
a = Tensor([1.0, 2.0, 3.0, 4.0]).realize()
b = (a * 2.0)
schedule = b.schedule()
sink_items = [si for si in schedule if si.ast.op == Ops.SINK]
if not sink_items: return # skip if no kernel
renderer = AMDHIPRenderer('gfx1100')
prg = get_program(sink_items[0].ast, renderer)
compiler = HIPCompiler('gfx1100')
lib = compiler.compile(prg.src)
raw_disasm = disassemble(lib)
# Find s_endpgm and verify we can encode it
for line in raw_disasm.splitlines():
if 's_endpgm' in line and '//' in line:
# Extract bytes from comment
comment = line.split('//')[1].strip()
hex_str = comment.split(':')[1].strip()
amd_bytes = bytes.fromhex(hex_str)[::-1]
# Our encoding
our_inst = s_endpgm()
our_bytes = our_inst.to_bytes()
self.assertEqual(our_bytes, amd_bytes, f"s_endpgm mismatch: ours={our_bytes.hex()} AMD={amd_bytes.hex()}")
return
if __name__ == "__main__":
unittest.main()
@@ -8,11 +8,11 @@ Only compute-relevant instruction formats are tested. Graphics-only formats not
- VIMAGE/VSAMPLE: image sampling instructions (RDNA4)
- VBUFFER: buffer instructions (RDNA4)
"""
import unittest, re, functools
import unittest, re, subprocess, functools
from tinygrad.helpers import fetch
from test.amd.disasm import disasm
from tinygrad.renderer.amd import decode_inst, detect_format
from test.amd.helpers import llvm_assemble, llvm_filter_valid_asm, get_target, get_mattr
from extra.assembly.amd.disasm import disasm
from extra.assembly.amd.decode import decode_inst, detect_format
from extra.assembly.amd.test.helpers import get_llvm_mc
LLVM_BASE = "https://raw.githubusercontent.com/llvm/llvm-project/llvmorg-21.1.0/llvm/test/MC/AMDGPU"
@@ -25,22 +25,20 @@ RDNA_FILES = ['gfx11_asm_sop1.s', 'gfx11_asm_sop2.s', 'gfx11_asm_sopp.s', 'gfx11
'gfx11_asm_wmma.s', 'gfx11_asm_vop3_features.s', 'gfx11_asm_vop3p_features.s', 'gfx11_asm_vopd_features.s',
'gfx11_asm_vop3_alias.s', 'gfx11_asm_vop3p_alias.s', 'gfx11_asm_vopc_alias.s', 'gfx11_asm_vopcx_alias.s', 'gfx11_asm_vinterp_alias.s',
'gfx11_asm_smem_alias.s']
# CDNA (gfx9/gfx90a/gfx942/gfx950) test files for compute instructions
# CDNA (gfx9/gfx90a/gfx942) test files for compute instructions
# Excluded: gfx9_asm_mubuf.s, gfx9_asm_mtbuf.s, gfx90a_ldst_acc.s (has MIMG mixed in)
# Exclude gfx90a: 'gfx90a_asm_features.s', 'mai-gfx90a.s',
# Exclude gfx950: 'gfx950_asm_features.s' (disasm error)
CDNA_FILES = ['gfx9_asm_sop1.s', 'gfx9_asm_sop2.s', 'gfx9_asm_sopp.s', 'gfx9_asm_sopk.s', 'gfx9_asm_sopc.s',
'gfx9_asm_vop1.s', 'gfx9_asm_vop2.s', 'gfx9_asm_vopc.s', 'gfx9_asm_vop3.s', 'gfx9_asm_vop3p.s',
'gfx9_asm_ds.s', 'gfx9_asm_flat.s', 'gfx9_asm_smem.s',
'flat-scratch-gfx942.s', 'gfx942_asm_features.s', 'mai-gfx942.s',
'gfx950_asm_vop1.s', 'gfx950_asm_read_tr.s', 'mai-gfx950.s']
'gfx90a_asm_features.s', 'flat-scratch-gfx942.s', 'gfx942_asm_features.s',
'mai-gfx90a.s', 'mai-gfx942.s']
# RDNA4 (gfx12) test files for compute instructions
# Excluded: gfx12_asm_vbuffer_mubuf.s, gfx12_asm_vbuffer_mtbuf.s, gfx12_asm_exp.s (graphics-only)
RDNA4_FILES = ['gfx12_asm_sop1.s', 'gfx12_asm_sop2.s', 'gfx12_asm_sopp.s', 'gfx12_asm_sopk.s', 'gfx12_asm_sopc.s',
'gfx12_asm_vop1.s', 'gfx12_asm_vop2.s', 'gfx12_asm_vopc.s', 'gfx12_asm_vopcx.s', 'gfx12_asm_vop3.s', 'gfx12_asm_vop3c.s',
'gfx12_asm_vop3cx.s', 'gfx12_asm_vop3p.s', 'gfx12_asm_vop3_from_vop1.s', 'gfx12_asm_vop3_from_vop2.s',
'gfx12_asm_vop3p_features.s', 'gfx12_asm_vopd.s', 'gfx12_asm_vopd_features.s',
'gfx12_asm_ds.s', 'gfx12_asm_smem.s', 'gfx12_asm_vflat.s',
'gfx12_asm_ds.s', 'gfx12_asm_smem.s',
'gfx12_asm_wmma_w32.s']
def _parse_llvm_tests(text: str, pattern: str) -> list[tuple[str, bytes]]:
@@ -59,7 +57,8 @@ def _parse_llvm_tests(text: str, pattern: str) -> list[tuple[str, bytes]]:
except ValueError: pass
return tests
def _get_tests_uncached(f: str, arch: str) -> list[tuple[str, bytes]]:
@functools.cache
def _get_tests(f: str, arch: str) -> list[tuple[str, bytes]]:
text = fetch(f"{LLVM_BASE}/{f}").read_bytes().decode('utf-8', errors='ignore')
if arch == "rdna3":
# Match GFX11 and W32 only (wavefront32 mode)
@@ -67,25 +66,25 @@ def _get_tests_uncached(f: str, arch: str) -> list[tuple[str, bytes]]:
elif arch == "rdna4":
# Match GFX12 (but not GFX1250) and W32 only (wavefront32 mode)
tests = _parse_llvm_tests(text, r'(?:GFX12(?!50)|W32)')
elif 'gfx90a' in f or 'gfx942' in f or 'gfx950' in f:
tests = _parse_llvm_tests(text, r'(?:GFX90A|GFX942|GFX950)')
elif 'gfx90a' in f or 'gfx942' in f:
tests = _parse_llvm_tests(text, r'(?:GFX90A|GFX942)')
else:
tests = _parse_llvm_tests(text, r'(?:VI9|GFX9|CHECK)')
# Exclude v_interp_* (graphics-only, not on CDNA)
if arch == "cdna": tests = [(asm, data) for asm, data in tests if not asm.startswith('v_interp_')]
# Filter out tests where original ASM isn't valid on target (e.g., gfx9 tests with gfx942/gfx950 constraints)
if arch == "cdna" and not ('gfx942' in f or 'gfx950' in f or 'gfx90a' in f):
tests = llvm_filter_valid_asm(tests, get_target(arch), get_mattr(arch))
return tests
@functools.cache
def _get_tests(f: str, arch: str) -> list[tuple[str, bytes]]: return _get_tests_uncached(f, arch)
def _compile_asm_batch(instrs: list[str], arch: str = "rdna3") -> list[bytes]:
if not instrs: return []
mcpu = {'rdna3': 'gfx1100', 'rdna4': 'gfx1200'}.get(arch, 'gfx1100')
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=".text\n" + "\n".join(instrs) + "\n", capture_output=True, text=True, timeout=30)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed: {result.stderr.strip()}")
return [bytes.fromhex(line.split('encoding:')[1].strip()[1:-1].replace('0x', '').replace(',', '').replace(' ', ''))
for line in result.stdout.split('\n') if 'encoding:' in line]
def _make_test(f: str, arch: str, test_type: str):
def test(self):
tests = _get_tests(f, arch)
name = f"{arch}_{test_type}_{f}"
mcpu = "gfx942" if arch == "cdna" and "gfx942" in f else get_target(arch)
if test_type == "roundtrip":
passed, skipped = 0, 0
for _, data in tests:
@@ -95,46 +94,21 @@ def _make_test(f: str, arch: str, test_type: str):
passed += 1
except ValueError: skipped += 1 # skip invalid opcodes not in enum
print(f"{name}: {passed} passed, {skipped} skipped")
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
elif test_type == "repr":
# Test that eval(repr(inst)) reproduces the instruction
if arch == "rdna3": import tinygrad.runtime.autogen.amd.rdna3.ins as ins # type: ignore[no-redef]
elif arch == "rdna4": import tinygrad.runtime.autogen.amd.rdna4.ins as ins # type: ignore[no-redef]
elif arch == "cdna": import tinygrad.runtime.autogen.amd.cdna.ins as ins # type: ignore[no-redef]
ns = {k: getattr(ins, k) for k in dir(ins) if not k.startswith('_')}
passed, skipped = 0, 0
for _, data in tests:
try:
decoded = detect_format(data, arch).from_bytes(data)
if decoded.to_bytes()[:len(data)] != data:
skipped += 1
continue # skip if binary roundtrip fails
r = repr(decoded)
try:
decoded2 = eval(r, ns) # noqa: S307
if decoded == decoded2: passed += 1
else: skipped += 1
except Exception: skipped += 1
except ValueError: skipped += 1
print(f"{name}: {passed} passed, {skipped} skipped")
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
if arch in ("rdna3", "rdna4"):
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
elif test_type == "disasm":
to_test = []
for _, data in tests:
try:
decoded = decode_inst(data, arch)
enc = decoded.to_bytes()[:len(data)]
# Skip if roundtrip fails, disasm fails, or op_name is missing (disasm starts with space)
if enc == data and (d := disasm(decoded)) and not d.startswith(' '): to_test.append((enc, d))
except Exception: pass
if decoded.to_bytes()[:len(data)] == data and (d := disasm(decoded)) and not d.startswith(' '): to_test.append((data, d))
except: pass
skipped = len(tests) - len(to_test)
print(f"{name}: {len(to_test)} passed, {skipped} skipped")
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
# Compare disasm->reassemble with original encoding (filter reserved bit cases where LLVM can't reproduce)
llvm_bytes = llvm_assemble([t[1] for t in to_test], mcpu, get_mattr(arch))
valid = [(enc, d, llvm) for (enc, d), llvm in zip(to_test, llvm_bytes) if llvm == enc]
print(f"{name}: {len(valid)}/{len(to_test)} matched LLVM encoding")
for enc, _, llvm in valid: self.assertEqual(llvm, enc)
if arch in ("rdna3", "rdna4"):
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
for (data, _), llvm in zip(to_test, _compile_asm_batch([t[1] for t in to_test], arch)): self.assertEqual(llvm, data)
return test
class TestLLVM(unittest.TestCase): pass
@@ -142,15 +116,12 @@ class TestLLVM(unittest.TestCase): pass
for f in RDNA_FILES:
setattr(TestLLVM, f"test_rdna3_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna3", "roundtrip"))
setattr(TestLLVM, f"test_rdna3_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna3", "disasm"))
setattr(TestLLVM, f"test_rdna3_repr_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna3", "repr"))
for f in CDNA_FILES:
setattr(TestLLVM, f"test_cdna_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "cdna", "roundtrip"))
setattr(TestLLVM, f"test_cdna_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "cdna", "disasm"))
setattr(TestLLVM, f"test_cdna_repr_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "cdna", "repr"))
for f in RDNA4_FILES:
setattr(TestLLVM, f"test_rdna4_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna4", "roundtrip"))
setattr(TestLLVM, f"test_rdna4_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna4", "disasm"))
setattr(TestLLVM, f"test_rdna4_repr_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna4", "repr"))
if __name__ == "__main__":
unittest.main()
@@ -1,6 +1,6 @@
#!/usr/bin/env python3
"""Test that invalid instructions raise exceptions through the mock GPU stack."""
import unittest, subprocess, os, sys, time
import unittest, subprocess, os, time
class TestMockGPUInvalidInstruction(unittest.TestCase):
def test_unsupported_instruction_raises(self):
@@ -43,7 +43,7 @@ dev.synchronize()
env["HCQDEV_WAIT_TIMEOUT_MS"] = "10000"
st = time.perf_counter()
result = subprocess.run([sys.executable, "-c", test_code], env=env, capture_output=True, text=True, timeout=60)
result = subprocess.run(["python", "-c", test_code], env=env, capture_output=True, text=True, timeout=60)
elapsed = time.perf_counter() - st
self.assertNotEqual(result.returncode, 0, "should have raised")
+403
View File
@@ -0,0 +1,403 @@
#!/usr/bin/env python3
"""Tests for the RDNA3 pseudocode DSL."""
import unittest
from extra.assembly.amd.pcode import (Reg, TypedView, TypedView, MASK32, MASK64,
_f32, _i32, _f16, _i16, f32_to_f16, isNAN, _bf16, _ibf16, bf16_to_f32, f32_to_bf16,
BYTE_PERMUTE, v_sad_u8, v_msad_u8, _compile_pseudocode, _expr, compile_pseudocode)
from extra.assembly.amd.test.helpers import ExecContext
from extra.assembly.amd.autogen.rdna3.str_pcode import PCODE
from extra.assembly.amd.autogen.rdna3.enum import VOP3SDOp, VOPCOp
# Compile pseudocode functions on demand for regression tests
_VOP3SDOp_V_DIV_SCALE_F32 = compile_pseudocode('VOP3SDOp', 'V_DIV_SCALE_F32', PCODE[VOP3SDOp.V_DIV_SCALE_F32])
_VOPCOp_V_CMP_CLASS_F32 = compile_pseudocode('VOPCOp', 'V_CMP_CLASS_F32', PCODE[VOPCOp.V_CMP_CLASS_F32_E32])
class TestReg(unittest.TestCase):
def test_u32_read(self):
r = Reg(0xDEADBEEF)
self.assertEqual(int(r.u32), 0xDEADBEEF)
def test_u32_write(self):
r = Reg(0)
r.u32 = 0x12345678
self.assertEqual(r._val, 0x12345678)
def test_f32_read(self):
r = Reg(0x40400000) # 3.0f
self.assertAlmostEqual(float(r.f32), 3.0)
def test_f32_write(self):
r = Reg(0)
r.f32 = 3.0
self.assertEqual(r._val, 0x40400000)
def test_i32_signed(self):
r = Reg(0xFFFFFFFF) # -1 as signed
self.assertEqual(int(r.i32), -1)
def test_u64(self):
r = Reg(0xDEADBEEFCAFEBABE)
self.assertEqual(int(r.u64), 0xDEADBEEFCAFEBABE)
def test_f64(self):
r = Reg(0x4008000000000000) # 3.0 as f64
self.assertAlmostEqual(float(r.f64), 3.0)
class TestTypedView(unittest.TestCase):
def test_bit_slice(self):
r = Reg(0xDEADBEEF)
# Slices return TypedView which supports .u32, .u16 etc (matching pseudocode like S1.u32[1:0].u32)
self.assertEqual(r.u32[7:0].u32, 0xEF)
self.assertEqual(r.u32[15:8].u32, 0xBE)
self.assertEqual(r.u32[23:16].u32, 0xAD)
self.assertEqual(r.u32[31:24].u32, 0xDE)
# Also works with int() for arithmetic
self.assertEqual(int(r.u32[7:0]), 0xEF)
def test_single_bit_read(self):
r = Reg(0b11010101)
self.assertEqual(r.u32[0], 1)
self.assertEqual(r.u32[1], 0)
self.assertEqual(r.u32[2], 1)
self.assertEqual(r.u32[3], 0)
def test_single_bit_write(self):
r = Reg(0)
r.u32[5] = 1
r.u32[3] = 1
self.assertEqual(r._val, 0b00101000)
def test_nested_bit_access(self):
# S0.u32[S1.u32[4:0]] - access bit at position from another register
s0 = Reg(0b11010101)
s1 = Reg(3)
bit_pos = s1.u32[4:0] # TypedView, int value = 3
bit_val = s0.u32[int(bit_pos)] # bit 3 of s0 = 0
self.assertEqual(int(bit_pos), 3)
self.assertEqual(bit_val, 0)
def test_arithmetic(self):
r1 = Reg(0x40400000) # 3.0f
r2 = Reg(0x40800000) # 4.0f
result = r1.f32 + r2.f32
self.assertAlmostEqual(result, 7.0)
def test_comparison(self):
r1 = Reg(5)
r2 = Reg(3)
self.assertTrue(r1.u32 > r2.u32)
self.assertFalse(r1.u32 < r2.u32)
self.assertTrue(r1.u32 != r2.u32)
class TestTypedView(unittest.TestCase):
def test_slice_read(self):
r = Reg(0x56781234)
self.assertEqual(r[15:0].u16, 0x1234)
self.assertEqual(r[31:16].u16, 0x5678)
def test_slice_write(self):
r = Reg(0)
r[15:0].u16 = 0x1234
r[31:16].u16 = 0x5678
self.assertEqual(r._val, 0x56781234)
def test_slice_f16(self):
r = Reg(0)
r[15:0].f16 = 3.0
self.assertAlmostEqual(_f16(r._val & 0xffff), 3.0, places=2)
class TestCompiler(unittest.TestCase):
def test_ternary(self):
result = _expr("a > b ? 1 : 0")
self.assertIn("if", result)
self.assertIn("else", result)
def test_type_prefix_strip(self):
self.assertEqual(_expr("1'0U"), "0")
self.assertEqual(_expr("32'1"), "1")
self.assertEqual(_expr("16'0xFFFF"), "0xFFFF")
def test_suffix_strip(self):
self.assertEqual(_expr("0ULL"), "0")
self.assertEqual(_expr("1LL"), "1")
self.assertEqual(_expr("5U"), "5")
self.assertEqual(_expr("3.14F"), "3.14")
def test_boolean_ops(self):
self.assertIn("and", _expr("a && b"))
self.assertIn("or", _expr("a || b"))
self.assertIn("!=", _expr("a <> b"))
def test_pack16(self):
result = _expr("{ a, b }")
self.assertIn("_pack", result)
def test_type_cast_strip(self):
self.assertEqual(_expr("64'U(x)"), "(x)")
self.assertEqual(_expr("32'I(y)"), "(y)")
class TestExecContext(unittest.TestCase):
def test_float_add(self):
ctx = ExecContext(s0=0x40400000, s1=0x40800000) # 3.0f, 4.0f
ctx.D0.f32 = ctx.S0.f32 + ctx.S1.f32
self.assertAlmostEqual(_f32(ctx.D0._val), 7.0)
def test_float_mul(self):
ctx = ExecContext(s0=0x40400000, s1=0x40800000) # 3.0f, 4.0f
ctx.run("D0.f32 = S0.f32 * S1.f32")
self.assertAlmostEqual(_f32(ctx.D0._val), 12.0)
def test_scc_comparison(self):
ctx = ExecContext(s0=42, s1=42)
ctx.run("SCC = S0.u32 == S1.u32")
self.assertEqual(ctx.SCC._val, 1)
def test_scc_comparison_false(self):
ctx = ExecContext(s0=42, s1=43)
ctx.run("SCC = S0.u32 == S1.u32")
self.assertEqual(ctx.SCC._val, 0)
def test_ternary(self):
code = _compile_pseudocode("D0.u32 = S0.u32 > S1.u32 ? 1'1U : 1'0U")
ctx = ExecContext(s0=5, s1=3)
ctx.run(code)
self.assertEqual(ctx.D0._val, 1)
def test_pack(self):
code = _compile_pseudocode("D0 = { S1[15:0].u16, S0[15:0].u16 }")
ctx = ExecContext(s0=0x1234, s1=0x5678)
ctx.run(code)
self.assertEqual(ctx.D0._val, 0x56781234)
def test_tmp_with_typed_access(self):
code = _compile_pseudocode("""tmp = S0.u32 + S1.u32
D0.u32 = tmp.u32""")
ctx = ExecContext(s0=100, s1=200)
ctx.run(code)
self.assertEqual(ctx.D0._val, 300)
def test_s_add_u32_pattern(self):
# Real pseudocode pattern from S_ADD_U32
code = _compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
SCC = tmp >= 0x100000000ULL ? 1'1U : 1'0U
D0.u32 = tmp.u32""")
# Test overflow case
ctx = ExecContext(s0=0xFFFFFFFF, s1=0x00000001)
ctx.run(code)
self.assertEqual(ctx.D0._val, 0) # Wraps to 0
self.assertEqual(ctx.SCC._val, 1) # Carry set
def test_s_add_u32_no_overflow(self):
code = _compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
SCC = tmp >= 0x100000000ULL ? 1'1U : 1'0U
D0.u32 = tmp.u32""")
ctx = ExecContext(s0=100, s1=200)
ctx.run(code)
self.assertEqual(ctx.D0._val, 300)
self.assertEqual(ctx.SCC._val, 0) # No carry
def test_vcc_lane_read(self):
ctx = ExecContext(vcc=0b1010, lane=1)
# Lane 1 is set
self.assertEqual(ctx.VCC.u64[1], 1)
self.assertEqual(ctx.VCC.u64[2], 0)
def test_vcc_lane_write(self):
ctx = ExecContext(vcc=0, lane=0)
ctx.VCC.u64[3] = 1
ctx.VCC.u64[1] = 1
self.assertEqual(ctx.VCC._val, 0b1010)
def test_for_loop(self):
# CTZ pattern - find first set bit
code = _compile_pseudocode("""tmp = -1
for i in 0 : 31 do
if S0.u32[i] == 1 then
tmp = i
endif
endfor
D0.i32 = tmp""")
ctx = ExecContext(s0=0b1000) # Bit 3 is set
ctx.run(code)
self.assertEqual(ctx.D0._val & MASK32, 3)
def test_result_dict(self):
ctx = ExecContext(s0=5, s1=3)
ctx.D0.u32 = 42
ctx.SCC._val = 1
result = ctx.result()
self.assertEqual(result['d0'], 42)
self.assertEqual(result['scc'], 1)
class TestPseudocodeRegressions(unittest.TestCase):
"""Regression tests for pseudocode instruction emulation bugs."""
def test_v_div_scale_f32_vcc_always_returned(self):
"""V_DIV_SCALE_F32 must always return VCC, even when VCC=0 (no scaling needed).
Bug: when VCC._val == vcc (both 0), VCC wasn't returned, so VCC bits weren't written.
This caused division to produce wrong results for multiple lanes."""
# Normal case: 1.0 / 3.0, no scaling needed, VCC should be 0
s0 = 0x3f800000 # 1.0
s1 = 0x40400000 # 3.0
s2 = 0x3f800000 # 1.0 (numerator)
result = _VOP3SDOp_V_DIV_SCALE_F32(s0, s1, s2, 0, 0, 0, 0, 0xffffffff, 0, None)
# Must always have VCC in result
self.assertIn('VCC', result, "V_DIV_SCALE_F32 must always return VCC")
self.assertEqual(result['VCC'] & 1, 0, "VCC lane 0 should be 0 when no scaling needed")
def test_v_cmp_class_f32_detects_quiet_nan(self):
"""V_CMP_CLASS_F32 must correctly identify quiet NaN vs signaling NaN.
Bug: isQuietNAN and isSignalNAN both used math.isnan which can't distinguish them."""
quiet_nan = 0x7fc00000 # quiet NaN: exponent=255, bit22=1
signal_nan = 0x7f800001 # signaling NaN: exponent=255, bit22=0
# Test quiet NaN detection (bit 1 in mask)
s1_quiet = 0b0000000010 # bit 1 = quiet NaN
result = _VOPCOp_V_CMP_CLASS_F32(quiet_nan, s1_quiet, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 1, "Should detect quiet NaN with quiet NaN mask")
# Test signaling NaN detection (bit 0 in mask)
s1_signal = 0b0000000001 # bit 0 = signaling NaN
result = _VOPCOp_V_CMP_CLASS_F32(signal_nan, s1_signal, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 1, "Should detect signaling NaN with signaling NaN mask")
# Test that quiet NaN doesn't match signaling NaN mask
result = _VOPCOp_V_CMP_CLASS_F32(quiet_nan, s1_signal, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 0, "Quiet NaN should not match signaling NaN mask")
# Test that signaling NaN doesn't match quiet NaN mask
result = _VOPCOp_V_CMP_CLASS_F32(signal_nan, s1_quiet, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 0, "Signaling NaN should not match quiet NaN mask")
def testisNAN_with_typed_view(self):
"""isNAN must work with TypedView objects, not just Python floats.
Bug: isNAN checked isinstance(x, float) which returned False for TypedView."""
nan_reg = Reg(0x7fc00000) # quiet NaN
normal_reg = Reg(0x3f800000) # 1.0
inf_reg = Reg(0x7f800000) # +inf
self.assertTrue(isNAN(nan_reg.f32), "isNAN should return True for NaN TypedView")
self.assertFalse(isNAN(normal_reg.f32), "isNAN should return False for normal TypedView")
self.assertFalse(isNAN(inf_reg.f32), "isNAN should return False for inf TypedView")
class TestBF16(unittest.TestCase):
"""Tests for BF16 (bfloat16) support."""
def test_bf16_conversion(self):
"""Test bf16 <-> f32 conversion."""
# bf16 is just the top 16 bits of f32
# 1.0f = 0x3f800000, bf16 = 0x3f80
self.assertAlmostEqual(_bf16(0x3f80), 1.0, places=2)
self.assertEqual(_ibf16(1.0), 0x3f80)
# 2.0f = 0x40000000, bf16 = 0x4000
self.assertAlmostEqual(_bf16(0x4000), 2.0, places=2)
self.assertEqual(_ibf16(2.0), 0x4000)
# -1.0f = 0xbf800000, bf16 = 0xbf80
self.assertAlmostEqual(_bf16(0xbf80), -1.0, places=2)
self.assertEqual(_ibf16(-1.0), 0xbf80)
def test_bf16_special_values(self):
"""Test bf16 special values (inf, nan)."""
import math
# +inf: f32 = 0x7f800000, bf16 = 0x7f80
self.assertTrue(math.isinf(_bf16(0x7f80)))
self.assertEqual(_ibf16(float('inf')), 0x7f80)
# -inf: f32 = 0xff800000, bf16 = 0xff80
self.assertTrue(math.isinf(_bf16(0xff80)))
self.assertEqual(_ibf16(float('-inf')), 0xff80)
# NaN: quiet NaN bf16 = 0x7fc0
self.assertTrue(math.isnan(_bf16(0x7fc0)))
self.assertEqual(_ibf16(float('nan')), 0x7fc0)
def test_bf16_register_property(self):
"""Test Reg.bf16 property."""
r = Reg(0)
r.bf16 = 3.0 # 3.0f = 0x40400000, bf16 = 0x4040
self.assertEqual(r._val & 0xffff, 0x4040)
self.assertAlmostEqual(float(r.bf16), 3.0, places=1)
def test_bf16_slice_property(self):
"""Test TypedView.bf16 property."""
r = Reg(0x40404040) # Two bf16 3.0 values
self.assertAlmostEqual(r[15:0].bf16, 3.0, places=1)
self.assertAlmostEqual(r[31:16].bf16, 3.0, places=1)
class TestBytePermute(unittest.TestCase):
"""Tests for BYTE_PERMUTE helper function (V_PERM_B32)."""
def test_byte_select_0_to_7(self):
"""Test selecting bytes 0-7 from 64-bit data."""
# data = {s0, s1} where s0 is bytes 0-3, s1 is bytes 4-7
# Combined: 0x0706050403020100 (byte 0 = 0x00, byte 7 = 0x07)
data = 0x0706050403020100
for i in range(8):
self.assertEqual(BYTE_PERMUTE(data, i), i, f"byte {i} should be {i}")
def test_sign_extend_bytes(self):
"""Test sign extension selectors 8-11."""
# sel 8: sign of byte 1 (bits 15:8)
# sel 9: sign of byte 3 (bits 31:24)
# sel 10: sign of byte 5 (bits 47:40)
# sel 11: sign of byte 7 (bits 63:56)
data = 0x8000800080008000 # All relevant bytes have sign bit set
self.assertEqual(BYTE_PERMUTE(data, 8), 0xff)
self.assertEqual(BYTE_PERMUTE(data, 9), 0xff)
self.assertEqual(BYTE_PERMUTE(data, 10), 0xff)
self.assertEqual(BYTE_PERMUTE(data, 11), 0xff)
data = 0x7f007f007f007f00 # No sign bits set
self.assertEqual(BYTE_PERMUTE(data, 8), 0x00)
self.assertEqual(BYTE_PERMUTE(data, 9), 0x00)
self.assertEqual(BYTE_PERMUTE(data, 10), 0x00)
self.assertEqual(BYTE_PERMUTE(data, 11), 0x00)
def test_constant_zero(self):
"""Test selector 12 returns 0x00."""
self.assertEqual(BYTE_PERMUTE(0xffffffffffffffff, 12), 0x00)
def test_constant_ff(self):
"""Test selectors >= 13 return 0xFF."""
for sel in [13, 14, 15, 255]:
self.assertEqual(BYTE_PERMUTE(0, sel), 0xff, f"sel {sel} should be 0xff")
class TestSADHelpers(unittest.TestCase):
"""Tests for V_SAD_U8 and V_MSAD_U8 helper functions."""
def test_v_sad_u8_basic(self):
"""Test v_sad_u8 with simple values."""
# s0 = 0x04030201, s1 = 0x04030201 -> diff = 0 for all bytes
result = v_sad_u8(0x04030201, 0x04030201, 0)
self.assertEqual(result, 0)
# s0 = 0x05040302, s1 = 0x04030201 -> diff = 1+1+1+1 = 4
result = v_sad_u8(0x05040302, 0x04030201, 0)
self.assertEqual(result, 4)
def test_v_sad_u8_with_accumulator(self):
"""Test v_sad_u8 with non-zero accumulator."""
# s0 = 0x05040302, s1 = 0x04030201, s2 = 100 -> 4 + 100 = 104
result = v_sad_u8(0x05040302, 0x04030201, 100)
self.assertEqual(result, 104)
def test_v_sad_u8_large_diff(self):
"""Test v_sad_u8 with maximum byte differences."""
# s0 = 0xffffffff, s1 = 0x00000000 -> diff = 255*4 = 1020
result = v_sad_u8(0xffffffff, 0x00000000, 0)
self.assertEqual(result, 1020)
def test_v_msad_u8_basic(self):
"""Test v_msad_u8 masks when reference byte is 0."""
# s0 = 0x10101010, s1 = 0x00000000 -> all masked, result = 0
result = v_msad_u8(0x10101010, 0x00000000, 0)
self.assertEqual(result, 0)
# s0 = 0x10101010, s1 = 0x01010101 -> diff = |0x10-0x01|*4 = 15*4 = 60
result = v_msad_u8(0x10101010, 0x01010101, 0)
self.assertEqual(result, 60)
def test_v_msad_u8_partial_mask(self):
"""Test v_msad_u8 with partial masking."""
# s0 = 0x10101010, s1 = 0x00010001 -> bytes 1 and 3 masked
# diff = |0x10-0x01| + |0x10-0x01| = 15 + 15 = 30
result = v_msad_u8(0x10101010, 0x00010001, 0)
self.assertEqual(result, 30)
def test_v_msad_u8_with_accumulator(self):
"""Test v_msad_u8 with non-zero accumulator."""
result = v_msad_u8(0x10101010, 0x01010101, 50)
self.assertEqual(result, 110) # 60 + 50
if __name__ == '__main__':
unittest.main()
@@ -1,21 +1,17 @@
#!/usr/bin/env python3
"""Test PDF pseudocode extraction from generate.py."""
"""Test PDF pseudocode extraction from amdxml.py."""
import unittest
from tinygrad.renderer.amd.generate import extract_pdf_text, extract_pcode, parse_xml, ARCHS, FIXES
from extra.assembly.amd.amdxml import extract_pdf_text, extract_pcode, parse_xml, ARCHS, FIXES
EXPECTED_PAGES = {"rdna3": 655, "rdna4": 711, "cdna": 610}
class TestPcodePDF(unittest.TestCase):
pages: dict
enums: dict
pcode: dict
@classmethod
def setUpClass(cls):
cls.pages = {arch: extract_pdf_text(cfg["pdf"]) for arch, cfg in ARCHS.items()}
cls.enums = {}
for arch, cfg in ARCHS.items():
_, enums, _, _, _, _ = parse_xml(cfg["xml"])
_, enums, _, _, _ = parse_xml(cfg["xml"], arch)
for fmt, ops in FIXES.get(arch, {}).items(): enums.setdefault(fmt, {}).update(ops)
cls.enums[arch] = enums
cls.pcode = {arch: extract_pcode(cls.pages[arch], {n: op for ops in cls.enums[arch].values() for op, n in ops.items()}) for arch in ARCHS}
@@ -37,8 +33,7 @@ class TestPcodePDF(unittest.TestCase):
'tmp = MEM[ADDR].u64;\nsrc = DATA.u64;\nMEM[ADDR].u64 = src >= tmp ? src : tmp;\nRETURN_DATA.u64 = tmp')
# GLOBAL_STORE_B128: should have 4 MEM stores (not truncated)
self.assertEqual(pcode[('GLOBAL_STORE_B128', 29)],
'MEM[ADDR].b32 = VDATA[31 : 0];\nMEM[ADDR + 4U].b32 = VDATA[63 : 32];\n'
'MEM[ADDR + 8U].b32 = VDATA[95 : 64];\nMEM[ADDR + 12U].b32 = VDATA[127 : 96]')
'MEM[ADDR].b32 = VDATA[31 : 0];\nMEM[ADDR + 4U].b32 = VDATA[63 : 32];\nMEM[ADDR + 8U].b32 = VDATA[95 : 64];\nMEM[ADDR + 12U].b32 = VDATA[127 : 96]')
# S_CMOVK_I32: should have full if/endif block
self.assertEqual(pcode[('S_CMOVK_I32', 2)],
"if SCC then\nD0.i32 = 32'I(signext(SIMM16.i16))\nendif")
+95
View File
@@ -0,0 +1,95 @@
#!/usr/bin/env python3
import unittest, subprocess
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.test.helpers import get_llvm_mc
def llvm_assemble(asm: str) -> bytes:
"""Assemble using llvm-mc and return bytes."""
result = subprocess.run(
[get_llvm_mc(), "-triple=amdgcn", "-mcpu=gfx1100", "-show-encoding"],
input=asm, capture_output=True, text=True
)
out = b''
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
enc = enc.strip('[]').replace('0x', '').replace(',', '')
out += bytes.fromhex(enc)
if not out: raise ValueError(f"no encoding found: {result.stdout} {result.stderr}")
return out
class TestRDNA3Asm(unittest.TestCase):
def test_full_program(self):
"""Test the full program from rdna3fun.py matches llvm-mc output."""
program = [
v_bfe_u32(v[1], v[0], 10, 10),
s_load_b128(s[4:7], s[0:1], NULL),
v_and_b32_e32(v[0], 0x3FF, v[0]),
s_mulk_i32(s[3], 0x87),
v_mad_u64_u32(v[1:2], NULL, s[2], 3, v[1:2]),
v_mul_u32_u24_e32(v[0], 45, v[0]),
v_ashrrev_i32_e32(v[2], 31, v[1]),
v_add3_u32(v[0], v[0], s[3], v[1]),
v_lshlrev_b64(v[2:3], 2, v[1:2]),
v_ashrrev_i32_e32(v[1], 31, v[0]),
v_lshlrev_b64(v[0:1], 2, v[0:1]),
s_waitcnt(0xfc07), # lgkmcnt(0)
v_add_co_u32(v[2], VCC_LO, s[6], v[2]),
v_add_co_ci_u32_e32(v[3], s[7], v[3]),
v_add_co_u32(v[0], VCC_LO, s[4], v[0]),
global_load_b32(vdst=v[2], addr=v[2:3], saddr=OFF),
v_add_co_ci_u32_e32(v[1], s[5], v[1]),
s_waitcnt(0x03f7), # vmcnt(0)
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
asm = """
v_bfe_u32 v1, v0, 10, 10
s_load_b128 s[4:7], s[0:1], null
v_and_b32_e32 v0, 0x3FF, v0
s_mulk_i32 s3, 0x87
v_mad_u64_u32 v[1:2], null, s2, 3, v[1:2]
v_mul_u32_u24_e32 v0, 45, v0
v_ashrrev_i32_e32 v2, 31, v1
v_add3_u32 v0, v0, s3, v1
v_lshlrev_b64 v[2:3], 2, v[1:2]
v_ashrrev_i32_e32 v1, 31, v0
v_lshlrev_b64 v[0:1], 2, v[0:1]
s_waitcnt lgkmcnt(0)
v_add_co_u32 v2, vcc_lo, s6, v2
v_add_co_ci_u32_e32 v3, vcc_lo, s7, v3, vcc_lo
v_add_co_u32 v0, vcc_lo, s4, v0
global_load_b32 v2, v[2:3], off
v_add_co_ci_u32_e32 v1, vcc_lo, s5, v1, vcc_lo
s_waitcnt vmcnt(0)
global_store_b32 v[0:1], v2, off
s_endpgm
"""
expected = llvm_assemble(asm)
for inst,rt in zip(program, asm.strip().split("\n")): print(f"{inst.disasm():50s} {rt}")
actual = b''.join(inst.to_bytes() for inst in program)
self.assertEqual(actual, expected)
def test_sop2_s_add_u32(self):
inst = SOP2(SOP2Op.S_ADD_U32, s[3], s[0], s[1])
expected = llvm_assemble("s_add_u32 s3, s0, s1")
self.assertEqual(inst.to_bytes(), expected)
def test_vop2_v_and_b32_inline_const(self):
inst = v_and_b32_e32(v[0], 10, v[0])
expected = llvm_assemble("v_and_b32_e32 v0, 10, v0")
self.assertEqual(inst.to_bytes(), expected)
def test_sopp_s_endpgm(self):
inst = s_endpgm()
expected = llvm_assemble("s_endpgm")
self.assertEqual(inst.to_bytes(), expected)
def test_sop1_s_mov_b32(self):
inst = s_mov_b32(s[0], s[1])
expected = llvm_assemble("s_mov_b32 s0, s1")
self.assertEqual(inst.to_bytes(), expected)
if __name__ == "__main__":
unittest.main()
@@ -1,10 +1,16 @@
#!/usr/bin/env python3
"""Roundtrip tests: generate tinygrad kernels, decode instructions, re-encode, verify match."""
import unittest, io, sys, re
from tinygrad import Device
from tinygrad.renderer.amd import detect_format
from test.amd.helpers import llvm_assemble, llvm_disasm, get_target, get_mattr
from test.amd.disasm import disasm
import unittest, io, sys, re, subprocess, os
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.decode import decode_inst, detect_format
from extra.assembly.amd.test.helpers import get_llvm_mc, get_llvm_objdump
# arch: (mcpu, mattr)
ARCH_CONFIG = {
'rdna3': ('gfx1100', '+real-true16,+wavefrontsize32'),
'rdna4': ('gfx1200', '+real-true16,+wavefrontsize32'),
'cdna': ('gfx942', '+wavefrontsize64'),
}
def disassemble_lib(lib: bytes, compiler) -> list[tuple[str, bytes]]:
"""Disassemble ELF binary and return list of (instruction_text, machine_code_bytes)."""
@@ -31,20 +37,47 @@ def disassemble_lib(lib: bytes, compiler) -> list[tuple[str, bytes]]:
def compile_asm(instr: str, arch: str = 'rdna3') -> bytes:
"""Compile a single instruction using LLVM."""
return llvm_assemble([instr], get_target(arch), get_mattr(arch))[0]
return compile_asm_batch([instr], arch)[0]
def compile_asm_batch(instrs: list[str], arch: str = 'rdna3') -> list[bytes]:
"""Compile multiple instructions with a single LLVM emission."""
return llvm_assemble(instrs, get_target(arch), get_mattr(arch))
"""Compile multiple instructions with a single llvm-mc call."""
if not instrs: return []
mcpu, mattr = ARCH_CONFIG[arch]
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', f'-mattr={mattr}', '-show-encoding'],
input=".text\n" + "\n".join(instrs) + "\n", capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc batch failed: {result.stderr.strip()}")
encodings = []
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
encodings.append(bytes.fromhex(enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')))
if len(encodings) != len(instrs): raise RuntimeError(f"expected {len(instrs)} encodings, got {len(encodings)}")
return encodings
def compile_and_disasm_batch(instrs: list[str], arch: str = 'rdna3') -> list[str]:
"""Compile instructions with LLVM and get LLVM's disassembly."""
import tempfile
if not instrs: return []
mcpu, mattr = get_target(arch), get_mattr(arch)
code = b''.join(llvm_assemble(instrs, mcpu, mattr))
return llvm_disasm(code, mcpu, mattr)[:len(instrs)]
mcpu, mattr = ARCH_CONFIG[arch]
src = ".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n" + "\n".join(f" {instr}" for instr in instrs) + "\n"
with tempfile.NamedTemporaryFile(suffix='.o', delete=False) as f:
obj_path = f.name
try:
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', f'-mattr={mattr}', '-filetype=obj', '-o', obj_path],
input=src, capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed: {result.stderr.strip()}")
result = subprocess.run([get_llvm_objdump(), '-d', f'--mcpu={mcpu}', obj_path], capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-objdump failed: {result.stderr.strip()}")
results: list[str] = []
for line in result.stdout.splitlines():
if '//' not in line: continue
instr = line.split('//')[0].strip()
if instr: results.append(instr)
return results[:len(instrs)]
finally:
os.unlink(obj_path)
@unittest.skipUnless(Device.DEFAULT == "AMD", "requires AMD device")
class TestTinygradKernelRoundtrip(unittest.TestCase):
"""Test roundtrip on real tinygrad-generated kernels using get_kernels_from_tinygrad pattern."""
arch = 'rdna3'
@@ -56,24 +89,26 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
3. our disasm() matches LLVM's disassembly string (informational)
"""
arch = self.arch
mcpu, mattr = ARCH_CONFIG[arch]
from test.amd.test_compare_emulators import get_kernels_from_tinygrad
from tinygrad.runtime.support.elf import elf_loader
from tinygrad.runtime.support.compiler_amd import HIPCompiler, AMDLLVMCompiler
from tinygrad.helpers import AMD_LLVM
from extra.assembly.amd.test.test_compare_emulators import get_kernels_from_tinygrad
from tinygrad.runtime.support.compiler_amd import HIPCompiler
kernels, _, _ = get_kernels_from_tinygrad(op_fn)
# rendered source can be C or llvmir
compiler = (AMDLLVMCompiler if AMD_LLVM else HIPCompiler)(get_target(arch))
compiler = HIPCompiler(mcpu)
# First pass: decode all instructions and collect info
decoded_instrs: list[tuple] = [] # list of (ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err)
for ki, kernel in enumerate(kernels):
offset = 0
code = next((s.content for s in elf_loader(compiler.compile(kernel.src))[1] if s.name == ".text"))
while offset < len(code):
remaining = code[offset:]
while offset < len(kernel.code):
remaining = kernel.code[offset:]
fmt = detect_format(remaining, arch)
if fmt is None:
decoded_instrs.append((ki, offset, None, None, None, False, "no format"))
offset += 4
continue
base_size = fmt._size()
if len(remaining) < base_size:
break
@@ -83,7 +118,7 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
size = decoded.size() # actual size including literal
orig_bytes = remaining[:size]
reencoded = decoded.to_bytes()
our_disasm = disasm(decoded)
our_disasm = decoded.disasm()
decode_ok = reencoded == orig_bytes
decode_err: str | None = None if decode_ok else f"orig={orig_bytes.hex()} reenc={reencoded.hex()}"
decoded_instrs.append((ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err))
@@ -147,20 +182,20 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
if our_disasm is None:
disasm_skipped += 1
elif idx in disasm_llvm_map:
llvm_disasm_str = disasm_llvm_map[idx]
if our_disasm == llvm_disasm_str:
llvm_disasm = disasm_llvm_map[idx]
if our_disasm == llvm_disasm:
disasm_passed += 1
else:
disasm_failed += 1
disasm_failures.append(f"K{ki}@{offset}: ours='{our_disasm}' llvm='{llvm_disasm_str}'")
disasm_failures.append(f"K{ki}@{offset}: ours='{our_disasm}' llvm='{llvm_disasm}'")
else:
disasm_skipped += 1
print(f"[{arch}] decode roundtrip: {decode_passed} passed, {decode_failed} failed, {decode_skipped} skipped")
print(f"[{arch}] asm via llvm: {asm_passed} passed, {asm_failed} failed, {asm_skipped} skipped")
print(f"[{arch}] disasm vs llvm: {disasm_passed} passed, {disasm_failed} failed, {disasm_skipped} skipped")
self.assertEqual(decode_failed, 0, "Decode failures:\n" + "\n".join(decode_failures[:20]))
self.assertEqual(asm_failed, 0, "Asm failures:\n" + "\n".join(asm_failures[:20]))
self.assertEqual(decode_failed, 0, f"Decode failures:\n" + "\n".join(decode_failures[:20]))
self.assertEqual(asm_failed, 0, f"Asm failures:\n" + "\n".join(asm_failures[:20]))
# Note: disasm string comparison is informational only - formatting differences between LLVM versions are expected
# Basic unary ops
@@ -208,6 +243,7 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
# Fused ops
def test_fma(self): self._test_kernel_roundtrip(lambda T: (T([1.0, 2.0]) * T([3.0, 4.0]) + T([5.0, 6.0])))
@unittest.skip("RDNA4 decode roundtrip not yet supported")
class TestTinygradKernelRoundtripRDNA4(TestTinygradKernelRoundtrip): arch = 'rdna4'
@unittest.skip("CDNA decode roundtrip not yet supported")
@@ -5,47 +5,43 @@ from pathlib import Path
from tinygrad.helpers import DEBUG
from tinygrad.runtime.autogen import rocprof
from tinygrad.runtime.support.elf import elf_loader
from tinygrad.renderer.amd import decode_inst
from tinygrad.runtime.autogen.amd.rdna3.ins import SOPP
from tinygrad.runtime.autogen.amd.rdna3.enum import SOPPOp
from tinygrad.renderer.amd.sqtt import (decode, LAYOUT_HEADER, WAVESTART, WAVESTART_RDNA4, WAVEEND, INST, INST_RDNA4, VALUINST,
IMMEDIATE, IMMEDIATE_MASK, PACKET_TYPES_RDNA3, PACKET_TYPES_RDNA4, PACKET_TYPES_CDNA, CDNA_WAVESTART,
InstOp, InstOpRDNA4, print_packets, CDNA_WAVEEND, CDNA_INST)
from test.amd.helpers import TARGET_TO_ARCH
from extra.assembly.amd.decode import decode_inst
from extra.assembly.amd.autogen.rdna3.ins import SOPP
from extra.assembly.amd.autogen.rdna3.enum import SOPPOp
from extra.assembly.amd.sqtt import (decode, LAYOUT_HEADER, WAVESTART, WAVEEND, INST, VALUINST, IMMEDIATE, IMMEDIATE_MASK,
ALUEXEC, VMEMEXEC, PACKET_TYPES, InstOp, print_packets)
import tinygrad
EXAMPLES_DIR = Path(tinygrad.__file__).parent.parent / "extra/sqtt/examples"
EXAMPLES_DIR = Path(__file__).parent.parent.parent.parent / "sqtt/examples"
# INST ops for non-traced SIMDs (excluded from instruction count)
OTHER_SIMD_OPS = {InstOp.OTHER_LDS_LOAD, InstOp.OTHER_LDS_STORE, InstOp.OTHER_LDS_STORE_64, InstOp.OTHER_LDS_STORE_128,
InstOp.OTHER_FLAT_LOAD, InstOp.OTHER_FLAT_STORE, InstOp.OTHER_FLAT_STORE_64, InstOp.OTHER_FLAT_STORE_96,
InstOp.OTHER_FLAT_STORE_128, InstOp.OTHER_GLOBAL_LOAD, InstOp.OTHER_GLOBAL_LOAD_VADDR,
InstOp.OTHER_GLOBAL_STORE_64, InstOp.OTHER_GLOBAL_STORE_96, InstOp.OTHER_GLOBAL_STORE_128,
InstOp.OTHER_GLOBAL_STORE_VADDR_128}
OTHER_SIMD_OPS_RDNA4 = {InstOpRDNA4.OTHER_VMEM, InstOpRDNA4.OTHER_VMEM_5, InstOpRDNA4.OTHER_LDS_1, InstOpRDNA4.OTHER_LDS_2}
# ═══════════════════════════════════════════════════════════════════════════════
# ROCPROF DECODER
# ═══════════════════════════════════════════════════════════════════════════════
def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int, target: str):
def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int):
"""Run rocprof decoder on SQTT blobs, returning raw occupancy and instruction records."""
image, sections, _ = elf_loader(lib)
text = next((sh for sh in sections if sh.name == ".text"), None)
assert text is not None, "no .text section found"
text_off, text_size = text.header.sh_addr, text.header.sh_size
blob_iter, current_blob = iter(blobs), [None] # type: ignore[var-annotated]
blob_iter, current_blob = iter(blobs), [None]
occupancy_records: list[tuple[int, int, int, int, bool]] = [] # (wave_id, simd, cu, time, is_start)
wave_insts: list[list[tuple[int, int]]] = [] # per-wave list of (time, stall)
@rocprof.rocprof_trace_decoder_se_data_callback_t
def copy_cb(buf, buf_size, _): # type: ignore[no-untyped-def]
def copy_cb(buf, buf_size, _):
blob = next(blob_iter, None)
if blob is None: return 0
current_blob[0] = (ctypes.c_ubyte * len(blob)).from_buffer_copy(blob) # type: ignore[call-overload]
buf[0] = ctypes.cast(current_blob[0], ctypes.POINTER(ctypes.c_ubyte)) # type: ignore[arg-type]
buf_size[0] = len(current_blob[0]) # type: ignore[arg-type]
return len(current_blob[0]) # type: ignore[arg-type]
current_blob[0] = (ctypes.c_ubyte * len(blob)).from_buffer_copy(blob)
buf[0] = ctypes.cast(current_blob[0], ctypes.POINTER(ctypes.c_ubyte))
buf_size[0] = len(current_blob[0])
return len(current_blob[0])
@rocprof.rocprof_trace_decoder_trace_callback_t
def trace_cb(record_type, events_ptr, n, _):
@@ -62,7 +58,6 @@ def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int, target: str):
wave_insts.append([(inst.time, inst.stall) for inst in insts])
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
arch = TARGET_TO_ARCH[target]
@rocprof.rocprof_trace_decoder_isa_callback_t
def isa_cb(instr_ptr, mem_size_ptr, size_ptr, pc, _):
offset = pc.address - base
@@ -70,9 +65,8 @@ def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int, target: str):
mem_size_ptr[0] = 0
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
try:
inst = decode_inst(image[offset:], arch=arch)
inst = decode_inst(image[offset:])
mem_size_ptr[0] = inst._size()
# this could be an error in our decode_inst
except (ValueError, AssertionError):
mem_size_ptr[0] = 0
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
@@ -89,20 +83,16 @@ def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int, target: str):
try: rocprof.rocprof_trace_decoder_parse_data(copy_cb, trace_cb, isa_cb, None)
except Exception as e: exc = e
(t:=threading.Thread(target=worker, daemon=True)).start()
t.join(timeout=5)
t.join(timeout=1)
if exc is not None: raise exc
if t.is_alive(): raise RuntimeError("rocprof decoder timeout")
return occupancy_records, wave_insts
class SQTTExamplesTestBase(unittest.TestCase):
target: str
examples: dict
class TestSQTTExamples(unittest.TestCase):
@classmethod
def setUpClass(cls):
if cls is SQTTExamplesTestBase: raise unittest.SkipTest("base class")
cls.examples = {}
for pkl_path in sorted((EXAMPLES_DIR/cls.target).glob("*.pkl")):
for pkl_path in sorted(EXAMPLES_DIR.glob("*.pkl")):
with open(pkl_path, "rb") as f:
data = pickle.load(f)
sqtt_events = [e for e in data if type(e).__name__ == "ProfileSQTTEvent"]
@@ -118,28 +108,24 @@ class SQTTExamplesTestBase(unittest.TestCase):
for i, event in enumerate(events):
with self.subTest(example=name, event=i):
packets = list(decode(event.blob))
if DEBUG >= 2:
print(f"\n=== {name} event {i} ===")
print_packets(packets)
if DEBUG >= 2: print(f"\n=== {name} event {i} ==="); print_packets(packets)
self.assertGreater(len(packets), 0, f"no packets decoded from {name} event {i}")
self.assertIsInstance(packets[0], LAYOUT_HEADER, f"first packet should be LAYOUT_HEADER in {name}")
def test_packet_types_valid(self):
all_classes = set(PACKET_TYPES_RDNA3.values()) | set(PACKET_TYPES_RDNA4.values()) | set(PACKET_TYPES_CDNA.values())
for name, (events, *_) in self.examples.items():
for i, event in enumerate(events):
with self.subTest(example=name, event=i):
for pkt in decode(event.blob):
# Use isinstance to handle layout-specific subclasses (e.g., WAVESTART_RDNA4)
self.assertTrue(any(isinstance(pkt, cls) for cls in all_classes), f"unknown packet type {type(pkt)} in {name}")
self.assertIn(type(pkt), PACKET_TYPES, f"unknown packet type {type(pkt)} in {name}")
def test_wave_lifecycle(self):
for name, (events, *_) in self.examples.items():
if "empty" in name: continue
with self.subTest(example=name):
all_packets = [p for e in events for p in decode(e.blob)]
self.assertGreater(len([p for p in all_packets if isinstance(p, (WAVESTART, WAVESTART_RDNA4, CDNA_WAVESTART))]), 0, f"no WAVESTART in {name}")
self.assertGreater(len([p for p in all_packets if isinstance(p, (WAVEEND, CDNA_WAVEEND))]), 0, f"no WAVEEND in {name}")
self.assertGreater(len([p for p in all_packets if isinstance(p, WAVESTART)]), 0, f"no WAVESTART in {name}")
self.assertGreater(len([p for p in all_packets if isinstance(p, WAVEEND)]), 0, f"no WAVEEND in {name}")
def test_time_monotonic(self):
for name, (events, *_) in self.examples.items():
@@ -153,25 +139,27 @@ class SQTTExamplesTestBase(unittest.TestCase):
if "gemm" not in name: continue
with self.subTest(example=name):
all_packets = [p for e in events for p in decode(e.blob)]
inst_packets = [p for p in all_packets if isinstance(p, (INST, INST_RDNA4, CDNA_INST))]
self.assertGreater(len(inst_packets), 0, f"no INST packets in {name}")
if isinstance(inst_packets[0], (INST, INST_RDNA4)):
self.assertGreater(len([p for p in inst_packets if p.op.name.startswith("JUMP")]), 0, f"no JUMP packets in {name}")
self.assertGreater(len([p for p in all_packets if isinstance(p, INST)]), 0, f"no INST packets in {name}")
expected: dict[str, list[int]] = {} # override in subclasses
def test_packet_counts(self):
if not self.expected: self.skipTest("no expected packet counts for this target")
expected = {
"profile_empty_run_0": [559, 600],
"profile_empty_run_1": [517, 570],
"profile_gemm_run_0": [1489, 604, 1789, 466, 17570, 407],
"profile_gemm_run_1": [1453, 604, 1871, 493, 17827, 460],
"profile_plus_run_0": [695, 668],
"profile_plus_run_1": [663, 593],
}
for name, (events, *_) in self.examples.items():
with self.subTest(example=name):
if not self.expected.get(name): continue
counts = [len(list(decode(e.blob))) for e in events]
self.assertEqual(counts, self.expected[name], f"packet count mismatch in {name}")
self.assertEqual(counts, expected[name], f"packet count mismatch in {name}")
def test_rocprof_wave_times_match(self):
"""Wave start/end times must match rocprof exactly."""
for name, (events, lib, base) in self.examples.items():
with self.subTest(example=name):
occupancy, _ = run_rocprof_decoder([e.blob for e in events], lib, base, self.target)
occupancy, _ = run_rocprof_decoder([e.blob for e in events], lib, base)
# extract from rocprof occupancy records
roc_starts: dict[tuple[int, int, int], int] = {}
roc_waves: list[tuple[int, int]] = []
@@ -184,8 +172,8 @@ class SQTTExamplesTestBase(unittest.TestCase):
for event in events:
wave_starts: dict[tuple[int, int, int], int] = {}
for p in decode(event.blob):
if isinstance(p, (WAVESTART, CDNA_WAVESTART, WAVESTART_RDNA4)): wave_starts[(p.wave, p.simd, p.cu)] = p._time
elif isinstance(p, (WAVEEND, CDNA_WAVEEND)) and (key := (p.wave, p.simd, p.cu)) in wave_starts:
if isinstance(p, WAVESTART): wave_starts[(p.wave, p.simd, p.cu)] = p._time
elif isinstance(p, WAVEEND) and (key := (p.wave, p.simd, p.cu)) in wave_starts:
our_waves.append((wave_starts[key], p._time))
self.assertEqual(sorted(our_waves), sorted(roc_waves), f"wave times mismatch in {name}")
@@ -193,7 +181,7 @@ class SQTTExamplesTestBase(unittest.TestCase):
"""Instruction times must match rocprof exactly (excluding s_endpgm)."""
for name, (events, lib, base) in self.examples.items():
with self.subTest(example=name):
_, wave_insts = run_rocprof_decoder([e.blob for e in events], lib, base, self.target)
_, wave_insts = run_rocprof_decoder([e.blob for e in events], lib, base)
# skip last inst per wave (s_endpgm) - it needs special handling (time + duration instead of time + stall)
roc_insts = [time + stall for insts in wave_insts for time, stall in insts[:-1]]
# extract from our decoder
@@ -201,32 +189,11 @@ class SQTTExamplesTestBase(unittest.TestCase):
for event in events:
for p in decode(event.blob):
if isinstance(p, INST) and p.op not in OTHER_SIMD_OPS: our_insts.append(p._time)
elif isinstance(p, INST_RDNA4) and p.op not in OTHER_SIMD_OPS_RDNA4: our_insts.append(p._time)
elif isinstance(p, VALUINST): our_insts.append(p._time)
elif isinstance(p, IMMEDIATE): our_insts.append(p._time)
elif isinstance(p, IMMEDIATE_MASK):
for _ in range(bin(p.mask).count('1')): our_insts.append(p._time)
self.assertEqual(sorted(our_insts), sorted(roc_insts), f"instruction times mismatch in {name}")
class TestSQTTExamplesRDNA3(SQTTExamplesTestBase):
target = "gfx1100"
expected = {
"profile_empty_run_0": [1880, 1867, 1920, 1971, 1998, 1904],
"profile_empty_run_1": [1880, 1867, 1920, 1971, 1998, 1904],
"profile_gemm_run_0": [3275, 3278, 2426, 2475, 2511, 2431],
"profile_gemm_run_1": [3264, 3268, 2420, 2469, 2504, 2401],
"profile_ops_run_0": [1944, 4903, 1984, 2035, 2062, 1968],
"profile_ops_run_1": [1944, 4918, 1984, 2035, 2062, 1968],
"profile_plus_run_0": [1938, 1932, 1978, 2029, 2056, 1962],
"profile_plus_run_1": [1891, 1874, 1931, 1982, 2009, 1915],
}
class TestSQTTExamplesRDNA4(SQTTExamplesTestBase): target = "gfx1200"
class TestSQTTExamplesCDNA(SQTTExamplesTestBase):
target = "gfx950"
def test_rocprof_wave_times_match(self): self.skipTest("TODO: requires timestamp patching")
def test_rocprof_inst_times_match(self): self.skipTest("TODO: requires timestamp patching")
if __name__ == "__main__":
unittest.main()
+1 -2
View File
@@ -34,8 +34,7 @@ class WallTimeEvent:
self.start = time.monotonic()
return self
def __exit__(self, *_):
self.time = time.monotonic() - self.start
_events[self.event]["wall"].append(self.time)
_events[self.event]["wall"].append(time.monotonic() - self.start)
return False
class KernelTimeEvent:

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