Files
tinygrad/.github/workflows/benchmark.yml
T

614 lines
28 KiB
YAML

name: Benchmarks
env:
# TODO: this rescheduling makes gpt2, mixtral and llama unjitted slower
# TODO: very slow for llama 70B and resnet training 6 GPU
CAPTURE_PROCESS_REPLAY: "1"
ASSERT_PROCESS_REPLAY: "0"
PYTHONPATH: .
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
on:
push:
branches:
- master
- update_benchmark
- update_benchmark_staging
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: 4
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
# 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 DEV=CL IMAGE=1 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
# TODO: reenable when not flaky
#testframeworkpytest:
# name: framework pytest
# env:
# CI: ""
# CAPTURE_PROCESS_REPLAY: "0"
# runs-on: [self-hosted, framework]
# timeout-minutes: 10
# defaults:
# run:
# shell: bash -e -o pipefail {0}
# if: github.repository_owner == 'tinygrad'
# steps:
# - name: Checkout Code
# uses: actions/checkout@v6
# - 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" >> $GITHUB_ENV
# rm -f /tmp/pytest-db-ci*
# - name: Run pytest -nauto
# run: |
# source /tmp/tinygrad_pytest_ci/bin/activate
# pytest -nauto --durations=20
llmbenchmark:
name: LLM (DEV=${{ matrix.dev }})
runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"]
strategy:
fail-fast: false
matrix:
dev: ['METAL', 'AMD', 'NV']
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup (AMD)
if: ${{ matrix.dev == 'AMD' }}
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py amd rmmod
./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s /raid/weights/LLaMA-3 weights/LLaMA-3
- 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: reset process replay
run: python3 test/external/process_replay/reset.py
- name: Run llama3.2
run: BENCHMARK_LOG=llama32_3b-f16 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 -m tinygrad.llm -m llama3.2:3b-f16 --benchmark --warmup
- name: Run qwen3.6
# qwen3.6:35b-a3b doesn't fit on mac
if: ${{ matrix.dev != 'METAL' }}
run: BENCHMARK_LOG=qwen36_35b-a3b JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 -m tinygrad.llm -m qwen3.6:35b-a3b --benchmark --warmup
- name: Run olmoe
# just metal for now
if: ${{ matrix.dev == 'METAL' }}
run: BENCHMARK_LOG=olmoe JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 -m tinygrad.llm -m olmoe --benchmark --warmup
- name: Run LLaMA-3 8B on 4 GPUs with BEAM
# only run on machines with multiple gpus
if: ${{ matrix.dev != 'METAL' }}
run: BENCHMARK_LOG=llama3_beam_4gpu JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run process replay tests
uses: ./.github/actions/process-replay
cifarbenchmark:
name: HLB-CIFAR10 (DEV=${{ matrix.dev }})
runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"]
strategy:
fail-fast: false
matrix:
dev: ['METAL', 'AMD', 'NV']
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup (AMD)
if: ${{ matrix.dev == 'AMD' }}
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py amd rmmod
./extra/hcq/hcq_smi.py amd kill_pids
- 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: reset process replay
run: python3 test/external/process_replay/reset.py
- name: Run 10 CIFAR training steps
env:
ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'NV' && '130' || matrix.dev == 'AMD' && '200' || '3000' }}
run: BENCHMARK_LOG=cifar_10steps STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
env:
ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'NV' && '120' || matrix.dev == 'AMD' && '235' || '3000' }}
run: BENCHMARK_LOG=cifar_10steps_half STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run full CIFAR training w 1 GPU
# slow on metal
if: ${{ matrix.dev != 'METAL' }}
run: time BENCHMARK_LOG=cifar 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
# only run on machines with multiple gpus
if: ${{ matrix.dev != 'METAL' }}
run: time BENCHMARK_LOG=cifar_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
mlperfbenchmark:
name: MLPerf (${{ matrix.dev }})
runs-on: [self-hosted, Linux, "${{ matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"]
strategy:
fail-fast: false
matrix:
dev: ['AMD', 'NV']
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup (AMD)
if: ${{ matrix.dev == 'AMD' }}
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py amd rmmod
./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Run MLPerf resnet eval on training data
run: time BENCHMARK_LOG=resnet_eval MODEL=resnet python3 examples/mlperf/model_eval.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf ResNet50 training steps (6 gpu)
run: BENCHMARK_LOG=resnet_10steps_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (6 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
sdbenchmark:
name: Stable Diffusion (DEV=${{ matrix.dev }})
runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"]
strategy:
fail-fast: false
matrix:
dev: ['METAL', 'AMD', 'NV']
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup (AMD)
if: ${{ matrix.dev == 'AMD' }}
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py amd rmmod
./extra/hcq/hcq_smi.py amd kill_pids
- 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: reset process replay
run: python3 test/external/process_replay/reset.py
- name: Run Stable Diffusion
env:
ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'METAL' && '720' || matrix.dev == 'AMD' && '550' || '0' }}
run: BENCHMARK_LOG=stable_diffusion python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
- name: Run SDXL
if: ${{ matrix.dev != 'NV' }}
env:
ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'METAL' && '5000' || matrix.dev == 'AMD' && '3200' || '2000' }}
run: BENCHMARK_LOG=stable_diffusion_xl CAPTURE_PROCESS_REPLAY=0 python3 examples/sdxl.py --seed 0 --noshow --timing
- name: Run process replay tests
uses: ./.github/actions/process-replay
tests:
name: Tests (DEV=${{ matrix.dev }})
runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"]
strategy:
fail-fast: false
matrix:
dev: ['METAL', 'AMD', 'NV']
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup (AMD)
if: ${{ matrix.dev == 'AMD' }}
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py amd rmmod
./extra/hcq/hcq_smi.py amd kill_pids
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: python3 test/external/process_replay/reset.py
- name: Test tiny
run: |
DEBUG=2 python -m pytest -rA test/test_tiny.py
if [[ "${{ matrix.dev }}" == "NV" ]]; then
DEBUG=2 DEV=CUDA python -m pytest -rA test/test_tiny.py
fi
- name: Test tensor cores
run: |
if [[ "${{ matrix.dev }}" == "METAL" ]]; then
python3 test/opt/test_tensor_cores.py
DEBUG=2 SHOULD_USE_TC=1 python3 extra/gemm/simple_matmul.py
DEBUG=2 SHOULD_USE_TC=1 HALF=1 python3 extra/gemm/simple_matmul.py
DEBUG=2 SHOULD_USE_TC=1 BFLOAT16=1 python3 extra/gemm/simple_matmul.py
M_START=6 M_STOP=10 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=6 K_STOP=24 K_STEP=1 TC_OPT=2 DEBUG=2 python3 ./extra/gemm/fuzz_matmul.py
elif [[ "${{ matrix.dev }}" == "NV" ]]; then
ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
DEV=NV:PTX ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
DEV=CUDA SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 ALLOW_TF32=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 FP8E4M3=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=NV:PTX SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
# TODO: too slow
# 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
# DEV=NV:PTX 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
else
python3 test/opt/test_tensor_cores.py
# TODO: this is flaky
# DEV=AMD:LLVM python3 test/opt/test_tensor_cores.py
SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
# TODO: AMD compiler bug causes this to fail
# HSA=1 M_START=12 M_STOP=20 M_STEP=1 N_START=12 N_STOP=20 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 DEBUG=2 python3 ./extra/gemm/fuzz_matmul.py
fi
- name: Run model inference benchmark
# TODO: unstable on AMD
if: ${{ matrix.dev != 'AMD' }}
run: CAPTURE_PROCESS_REPLAY=0 NOCLANG=1 python3 test/external/external_model_benchmark.py
- name: Test speed vs torch
# TODO: unstable on AMD
if: ${{ matrix.dev != 'AMD' }}
env:
HALF: ${{ matrix.dev == 'NV' && '1' || '0' }}
run: CAPTURE_PROCESS_REPLAY=0 BIG=2 ${{ matrix.dev == 'METAL' && 'MPS=1' || 'TORCHCUDA=1' }} python3 test/speed/external_test_speed_v_torch.py
- name: Test speed vs theoretical
# no targets for METAL
if: ${{ matrix.dev != 'METAL' }}
run: IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Train MNIST
run: time TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Test benchmark allreduce
if: ${{ matrix.dev == 'NV' }}
run: python test/external/external_benchmark_multitensor_allreduce.py
- name: HEVC Decode Benchmark
if: ${{ matrix.dev == 'NV' }}
run: VALIDATE=1 MAX_FRAMES=100 ASSERT_FPS=1400 JITBEAM=1 PYTHONPATH=. python3 extra/hevc/decode.py
- uses: actions/upload-artifact@v7
if: ${{ matrix.dev != 'AMD' }}
with:
name: Speed (${{ matrix.dev }})
path: |
onnx_inference_speed.csv
- name: Run process replay tests
uses: ./.github/actions/process-replay
testusbgpu:
name: UsbGPU Benchmark
runs-on: [self-hosted, macOS]
timeout-minutes: 10
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- 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: Kill stale pids
run: |
PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
PYTHONPATH=. ./extra/hcq/hcq_smi.py nv kill_pids
# since sudo is required for usbgpu on macos, do not write bytecode, as some of the files are owned by root
- name: UsbGPU boot time
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEBUG=2 AM_RESET=1 DEV=USB+AMD time python3.11 test/test_tiny.py TestTiny.test_plus
- name: UsbGPU tiny tests
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3.11 test/test_tiny.py
- name: UsbGPU copy speeds
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3.11 test/external/external_test_usb_asm24.py TestDevCopySpeeds
#- name: UsbGPU openpilot test
# run: sudo -E PYTHONPATH=. GMMU=0 DEV=USB+AMD GRAPH_ONE_KERNEL=1 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/9118973ed03c1ae1d40cf69a29507ec2cc78efd7/selfdrive/modeld/models/supercombo.onnx
- name: UsbGPU (USB4/TB) install script
run: PYTHONPATH=. sh extra/setup_tinygpu_osx.sh
- name: UsbGPU (USB4/TB) boot time
run: PYTHONPATH=. DEBUG=3 DEV=PCI+NV:NAK time python3.11 test/test_tiny.py TestTiny.test_plus
- name: UsbGPU (USB4/TB) tiny tests
run: PYTHONPATH=. DEV=PCI+NV:NAK python3.11 test/test_tiny.py
testcommalatest:
name: comma Benchmark (0.11.2)
runs-on: [self-hosted, Linux, comma]
timeout-minutes: 12
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- 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: reset process replay
run: test/external/process_replay/reset.py
- name: openpilot compile3 0.11.2 supercombo
run: BENCHMARK_LOG=openpilot_0_11_2_supercombo PYTHONPATH="." ASSERT_MIN_STEP_TIME=26 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/433f85f956837606ad1f1cbee4aa7e2158ad23c768dea914b20436c97232741b
- name: openpilot compile3 0.11.2 supercombo (from pickle)
run: BENCHMARK_LOG=openpilot_0_11_2_supercombo_run_pickle RUN_PICKLE=1 PYTHONPATH="." ASSERT_MIN_STEP_TIME=26 DEV=QCOM taskset -c 4-7 python3 examples/openpilot/compile3.py
- name: IR3 openpilot compile3 0.11.2 supercombo
run: BENCHMARK_LOG=ir3_openpilot_0_11_2_supercombo PYTHONPATH="." ASSERT_MIN_STEP_TIME=41 DEV=QCOM:IR3 FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/433f85f956837606ad1f1cbee4aa7e2158ad23c768dea914b20436c97232741b
- name: openpilot compile3 0.11.2 dmonitoring
run: BENCHMARK_LOG=openpilot_0_11_2_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/3e7b31dfbc0a5234f1baf196513b77fc6af12204b8a8ffe8ee0417e48352f316
- name: Run process replay tests
uses: ./.github/actions/process-replay
testcommaold:
name: comma Benchmark (0.11.0)
runs-on: [self-hosted, Linux, comma]
timeout-minutes: 12
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- 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: reset process replay
run: test/external/process_replay/reset.py
- name: openpilot compile3 0.11.0 driving_vision
run: BENCHMARK_LOG=openpilot_0_11_0_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.11.0 driving_vision (from pickle)
run: BENCHMARK_LOG=openpilot_0_11_0_vision_run_pickle RUN_PICKLE=1 PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM taskset -c 4-7 python3 examples/openpilot/compile3.py
- name: IR3 openpilot compile3 0.11.0 driving_vision
run: BENCHMARK_LOG=ir3_openpilot_0_11_0_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=18 DEV=QCOM:IR3 FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.11.0 driving_policy
run: BENCHMARK_LOG=openpilot_0_11_0_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3.2 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.11.0 dmonitoring
run: BENCHMARK_LOG=openpilot_0_11_0_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/dmonitoring_model.onnx
- name: Run process replay tests
uses: ./.github/actions/process-replay
testqualcommdsp:
name: DSP Benchmark
runs-on: [self-hosted, Linux, comma4]
timeout-minutes: 5
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- 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: reset process replay
run: test/external/process_replay/reset.py
- name: Checkout Code
uses: actions/checkout@v6
- 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: reset process replay
run: test/external/process_replay/reset.py
- name: benchmark MobileNetV2 on DSP
run: |
# generate quantized weights
ln -s /data/home/tiny/tinygrad/extra/datasets/imagenet extra/datasets/imagenet
ln -s /data/home/tiny/tinygrad/testsig-*.so .
PYTHONPATH=. DEV=CPU QUANT=1 CNT=0 python3 examples/test_onnx_imagenet.py https://github.com/xamcat/mobcat-samples/raw/refs/heads/master/onnx_runtime/InferencingSample/InferencingSample/mobilenetv2-7.onnx /tmp/model.quant.onnx
# benchmark on DSP with NOOPT=1, the devectorizer has issues
PYTHONPATH=. DEV=DSP NOOPT=1 CNT=2 DEBUG=2 python3 examples/test_onnx_imagenet.py /tmp/model.quant.onnx
- name: Run process replay tests
uses: ./.github/actions/process-replay
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@v6
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: openpilot compile3 big_driving_supercombo
run: BENCHMARK_LOG=usbgpu_openpilot_big_driving_supercombo PICKLE_OOB=1 PYTHONPATH="." TC_OPT=2 GMMU=0 DEV=USB+AMD:LLVM ASSERT_MIN_STEP_TIME=50 python3 examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/10926f2c0911821ca0e72439c1c3bf3ec11f0a08789aa14b7ee8f25379b2afa4 openpilot.pkl
- name: openpilot load_pickle big_driving_supercombo
run: BENCHMARK_LOG=usbgpu_openpilot_big_driving_supercombo_load_pickle PICKLE_OOB=1 PYTHONPATH="." GMMU=0 DEV=USB+AMD ASSERT_MIN_LOAD_TIME=25 python3 examples/openpilot/load_pickle.py openpilot.pkl
- name: openpilot run_pickle big_driving_supercombo
run: BENCHMARK_LOG=usbgpu_openpilot_big_driving_supercombo_run_pickle RUN_PICKLE=1 PICKLE_OOB=1 PYTHONPATH="." GMMU=0 DEV=USB+AMD ASSERT_MIN_STEP_TIME=50 python3 examples/openpilot/compile3.py - openpilot.pkl
- name: Test copy speeds
run: SIZE=64e6 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3 test/external/external_test_usb_asm24.py TestDevCopySpeeds
driverbenchmarks:
name: PCI Driver Benchmark (DEV=${{ matrix.dev }})
runs-on: [self-hosted, Linux, tinyboxrandom]
strategy:
fail-fast: false
matrix:
dev: ['AMD', 'NV']
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
env:
DEV: ${{ matrix.dev }}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup
run: |
./extra/amdpci/setup_python_cap.sh
./extra/hcq/hcq_smi.py ${{ matrix.dev == 'AMD' && 'amd' || 'nv' }} rmmod
./extra/hcq/hcq_smi.py ${{ matrix.dev == 'AMD' && 'amd' || 'nv' }} kill_pids
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- 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: reset process replay
run: test/external/process_replay/reset.py
- name: Test driver cold start time
run: time DEBUG=3 AM_RESET=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Test driver warm start time
if: ${{ matrix.dev == 'AMD' }}
run: time DEBUG=3 python3 test/test_tiny.py TestTiny.test_plus
- name: Test GPU crash recovery
if: ${{ matrix.dev == 'AMD' }}
run: python3 -m pytest -rA test/external/external_test_gpu_crash.py
- name: Test tensor cores
run: |
if [[ "${{ matrix.dev }}" == "AMD" ]]; then
# Fails on 9070
# python3 test/test_linearizer.py test/opt/test_tensor_cores.py
# DEV=AMD:LLVM python3 test/test_linearizer.py test/opt/test_tensor_cores.py
# SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
else
ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
fi
- name: Test DISK copy time
run: TESTFILE=/raid/downloads/llama3-8b-sfr/model-00001-of-00004.safetensors python3 test/external/external_benchmark_disk_raw.py
- name: Test CPU copy time
run: |
GRAPH_ONE_KERNEL=1 NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit
GRAPH_ONE_KERNEL=1 NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
if: ${{ matrix.dev == 'NV' }}
run: BENCHMARK_LOG=resnet_10steps MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (1 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Remote
run: |
pkill -f 'extra/remote/serve.py' || true
PYTHONPATH=. python3 extra/remote/serve.py 6482 &
sleep 1
DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6482 AM_RESET=1 python3 test/test_tiny.py
if [[ "${{ matrix.dev }}" == "AMD" ]]; then
DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6482 AM_RESET=1 AMD_AQL=1 python3 test/test_tiny.py
fi
pkill -f 'extra/remote/serve.py' || true
- name: Run process replay tests
uses: ./.github/actions/process-replay
llvmspeed:
name: LLVM Speed
runs-on: [self-hosted, Linux, tinyboxrandom]
timeout-minutes: 20
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Speed Test
run: DEV=CPU:LLVM THREADS=0 python3 test/speed/external_test_speed_v_torch.py
- name: Speed Test (BEAM=2)
run: BEAM=2 DEV=CPU:LLVM THREADS=0 python3 test/speed/external_test_speed_v_torch.py