Compare commits

...
Author SHA1 Message Date
geohot 05d27abcc2 tests pass 2025-12-30 13:49:05 +00:00
geohot 153c5a1670 assembly/amd: use Reg in emu 2025-12-30 12:52:03 +00:00
qazalandGitHub d7e1f26e3d command line interface for sqtt viz (#13891)
* command line interface for sqtt viz

* cleanup

* api surface area

* this confuses the llms

* document
2025-12-30 12:33:21 +09:00
chenyuandGitHub ab58926b00 update sampling in test_float_cast_to_unsigned (#13889)
filter is slow for small dtypes
2025-12-29 21:35:46 -05:00
sirhcmandGitHub 0497387e45 NIR: new-style (fix beam) (#13887)
* NIR: fix beam

* new reduce

* Revert "Revert "NIR: new-style compilers (#13875)" (#13888)"

This reverts commit fc4faed0b2.

* oops
2025-12-29 18:41:29 -05:00
sirhcmandGitHub fc4faed0b2 Revert "NIR: new-style compilers (#13875)" (#13888)
This reverts commit 72236bbd3d.
2025-12-29 17:42:28 -05:00
George HotzandGitHub 94bca91f3e assembly/amd: have asm go through the dsl (#13886)
* assembly/amd: have asm go through the dsl

* lil
2025-12-29 17:39:11 -05:00
George HotzandGitHub 7322d9ec4a assembly/amd: add new instruction support to pcode (#13885)
* assembly/amd: add new instruction support

* more

* regen all
2025-12-29 17:30:17 -05:00
George HotzandGitHub 0d326f5b9b fix missing instructions in psuedocode (#13884) 2025-12-29 16:11:22 -05:00
sirhcmandGitHub 9c6850fc01 remove try-catches on llvm import (#13883) 2025-12-29 15:56:17 -05:00
George HotzandGitHub 9d8397be11 add CDNA3+RDNA4 support (#13882)
* fix CI

* remove junk

* rename lib to dsl

* correct

* cleanups
2025-12-29 15:51:29 -05:00
sirhcmandGitHub 72236bbd3d NIR: new-style compilers (#13875)
* NIR: new-style compilers

* mypy

* simplify NIR compilers

* lvp compiler too

* mypy

* simplify

* mypy
2025-12-29 15:31:41 -05:00
George HotzandGitHub 81cf9ea0ab rename to extra.assembly.amd (#13879) 2025-12-29 14:10:55 -05:00
George HotzandGitHub 37f0fa11b6 rdna3 test cleanups (#13878)
* rdna3 test cleanups

* cleanups

* ugh DONT SKIP
2025-12-29 13:41:59 -05:00
George HotzandGitHub 35db73b231 add cdna4 support to parsers (#13877)
* add cdna4 support to parsers

* cdna4
2025-12-29 13:23:43 -05:00
Clément VerrierandGitHub d178235309 delete tree structure from CLAUDE.md (#13876)
Claude Code should be able to figure out the correct structure, and the
hardcoded tree structure might become outdated.
2025-12-29 13:23:20 -05:00
George HotzandGitHub ff856a74cb minor refactoring for rdna3 (#13873)
* minor refactoring for rdna3

* fix div scale stuff

* more bugfixes
2025-12-29 13:20:00 -05:00
C TandGitHub 39923203ba fix exception in cuda bindings code on windows (#13823)
* fix cuda on windows

* fix linter errors

* test github action install cuda-toolkit

* Revert "test github action install cuda-toolkit"

This reverts commit c18ad6f937.

* Revert "fix linter errors"

This reverts commit 00aa943e91.

* Revert "fix cuda on windows"

This reverts commit 7aea5256b1.

* fix windows sysconfig.get_config_var("MULTIARCH") is None
2025-12-29 12:58:22 -05:00
b1tgandGitHub 63a1bb8507 multi custom kernel: support input mixed with copy and shard (#13748) 2025-12-29 12:54:27 -05:00
chenyuandGitHub 0a98fd38b3 fix tests that failed locally on mac (#13872)
keccak output was silently broken without contiguous
2025-12-29 11:23:38 -05:00
0e409ff5ce fix indentation in UOp pretty_print for repeated references (#13857)
* fix correct indentation in UOp pretty_print for repeated references

When a UOp was referenced multiple times, the walrus operator notation
(e.g., x0:=) was correctly used for the first occurrence, but subsequent
references had misaligned indentation due to an extra space character.

Fix indentation misalignment in pretty_print() when UOps are referenced
multiple times.

* add simple unit tests for UOp repr

---------

Co-authored-by: chenyu <[email protected]>
2025-12-29 10:46:16 -05:00
George HotzandGitHub f1471a3b99 speed up rdna3 unit tests + add to CI (#13871)
* speed up rdna3 unit tests

* add test to CI

* faster and simpler

* speedups

* bugfixes

* use helper

* fix CI maybe

* test fixes

* llvm-21 on 24.04

* upd

* llvm-21

* fix test

* bring that back

* merge gen into lib

* test generators
2025-12-29 10:26:48 -05:00
h-vetinariandGitHub 37720fd6c0 also look for linux libraries in RHEL-themed paths (#13863) 2025-12-29 10:05:32 -05:00
George HotzandGitHub 25ef866e89 write python emulator from RDNA3 psuedocode in pdf (#13841)
* write python emulator from RDNA3 psuedocode in pdf

* emu2

* more emu

* working

* more psueod

* progress

* cleanups

* delete junk

* delete stale files

* just emu

* work

* emu compare

* bemu

* cleanups and more failures

* revert bench emu

* fix emu cmp

* four tests fail

* bugfixes

* dsl

* ext

* refactor

* dsl

* div scale fix

* test_emu

* fix emu tests

* pcode

* test pcode

* top imports

* fix test_emu to use run_asm

* emu tests on real hardware

* more tests

* more emu tests

* more

* work

* work

* bug fix

* bugfixes

* fix fp16 gemm

* all ops tests pass in emulator

* fix llvm tests

* fix a few more tests

* fix mockgpu timeout
2025-12-29 07:39:53 -05:00
nimlgenandGitHub 88eb230326 memory: correct pa allocator size (#13861) 2025-12-29 14:49:44 +03:00
qazalandGitHub f541540129 variable N for asm gemm (#13869)
* variable N for asm gemm

* cleanup spacing
2025-12-29 19:35:50 +09:00
nimlgenandGitHub c6769badc2 mockgpu: async support (#13868)
* mockgpu: async support

* cpu
2025-12-29 13:18:37 +03:00
qazalandGitHub fc5278746f mi350x assembly gemm cleanups (#13867) 2025-12-29 18:47:23 +09:00
George HotzandGitHub f07c39cfa4 hwtest fixes for rdna3 dsl (#13865) 2025-12-28 20:42:29 -05:00
George HotzandGitHub d9603c1bee improve asm dsl syntax (#13864)
* improve asm dsl syntax

* improve asm dsl syntax
2025-12-28 20:04:59 -05:00
chenyuandGitHub f5090192c8 reorder AMD tensor core benchmark test (#13860)
* reorder AMD tensor core benchmark test

* disable that
2025-12-28 12:29:51 -05:00
qazalandGitHub 066d96c397 print tflops in asm gemm test (#13859)
* print tflops in asm gemm test

* change order
2025-12-29 02:26:40 +09:00
chenyuandGitHub a03cd43e78 fix typing in compute_gradient (#13852) 2025-12-28 11:52:14 -05:00
chenyuandGitHub cba05acadf re-enable TYPED=1 import test (#13858) 2025-12-28 11:49:06 -05:00
qazalandGitHub 2cfbabdc34 mi350x 1tflop bf16 gemm in extra (#13702) 2025-12-28 21:45:42 +09:00
qazalandGitHub 2180eee5e4 use the asm dsl in remu hwtest.py (#13856)
* remu hw test with the asm dsl

* simpler

* nthreads and exec mask

* cmp/cmpx

* assembler error in s_mov_b32

* vopd in dsl?
2025-12-28 11:32:41 +09:00
chenyuandGitHub 784b919f7f Revert "optim empty shard #13513 (#13598)" (#13855)
* Revert "optim empty shard #13513 (#13598)"

This reverts commit 76d465dbc3.

* test_arange_shrink

* update test
2025-12-27 21:10:23 -05:00
anuandGitHub 9b4de8abc7 fix beam in python 3.14+ (#13836)
* fix beam search on python 3.14

* add PickleableCount class to helpers

* change name, add test, add step

* tidy count init
2025-12-27 16:24:22 -05:00
chenyuandGitHub 0f74909ae9 clean up rearrange (#13851) 2025-12-27 11:06:10 -05:00
qazalandGitHub f6c660f7fa simplify sqtt decoder infra (#13849)
* more work

* simpler
2025-12-28 00:31:16 +09:00
Clément VerrierandGitHub ae013beab8 handle empty VECTORIZE in UOp.render() (#13847)
`UOp.render()` crashed with `IndexError: tuple index out of range` when
the UOp graph contained a `VECTORIZE` with empty `src=()`. This occurs
when reshaping to scalar shape `()`, e.g., `Tensor.ones(4).sum()`.

The bug was in the renderer's VECTORIZE pattern: `all_same(())` returns
`True` (vacuous truth), causing the code to access `x.src[0]` on an
empty tuple.

- Fix `IndexError` when calling `UOp.render()` on graphs containing
  empty `VECTORIZE` nodes.
- Add test for empty `VECTORIZE` rendering.
2025-12-27 10:09:39 -05:00
qazalandGitHub a2da61d096 use new style amd compiler in viz (#13848)
* working version, handcode gfx1100 arch

* get target from device properties

* lib in cfg test program spec
2025-12-27 23:59:30 +09:00
JINO ROHITandGitHub 1ee92003ea minor typo (#13846) 2025-12-27 09:34:57 -05:00
nimlgenandGitHub 276159cb87 system: add base_class to pci_scan_bus (#13845)
* system: add base_class to pci_scan_bus

* fix
2025-12-27 13:22:21 +03:00
Francis LataandGitHub fac137779e remove flux1 seed image (#13843) 2025-12-27 00:45:11 -05:00
qazalandGitHub f6de9095a0 switch asm tests to dsl (#13840)
* switch asm tests to dsl

* labeled basic blocks also work

* indenting for basic blocks

* allow define from star import
2025-12-27 02:15:16 +09:00
chenyuandGitHub ba922094f2 remove redudant check in disk_supports_fast_copyout (#13838) 2025-12-26 11:30:55 -05:00
George HotzandGitHub e9f2aaba2a simplify rdna3 asm (#13835)
* simplify rdna3 asm

* cleanups

* fix names

* fix tests

* fixes

* more test fixes

* type fixes

* tests pass + mypy passes

* 3.11 syntax
2025-12-26 11:21:03 -05:00
nimlgenandGitHub c44b4f9ae0 am: fix sdma warm boot (#13837) 2025-12-26 12:38:06 +03:00
George HotzandGitHub c6937fa744 more work on RDNA3 asm (#13833)
* more llvm asm tests

* roundtrip test

* work

* more handwritten

* more handwritten

* work

* tests pass

* dual mov

* all tests pass

* all tests pass fast
2025-12-25 23:28:14 -05:00
George HotzandGitHub f1111ac7de move amd compilers to new style (#13831)
* move amd compilers to new style

* simplest diff

* AMDHIPrenderer
2025-12-25 13:42:24 -05:00
George HotzandGitHub 9d94b8c6b2 python asm dsl in extra + python REMU (#13436)
* having fun with python asm dsl

* rdna3

* meh

* all in rdna3

* work

* more work

* work

* integration

* tests

* simpler

* simpler

* asm

* better

* simpler

* progress

* emu

* simpler

* emu

* tests

* types

* vopd

* cleaups

* work

* memory ranges

* add tracing

* refactors

* run_asm exit

* more readable

* compare to remu

* test gemm

* bug + stale

* more tests

* refactor

* tests fix

* more ins

* more instructions

* refactor

* faster

* match case

* match case

* simpler

* work

* tests

* run_asm

* work

* bug fixes

* more emu

* alu/emu

* refactor

* no pipeline emu yet

* alu direct

* fix

* bugfixes + new test

* fix exceptions in emulators

* update gen.py

* pylint

* no pdf

* improve bench_emu

* speedups

* cleanups

* more tests
2025-12-25 13:04:14 -05:00
nimlgenandGitHub b5f3a5ad79 am: cleanup comment (#13828) 2025-12-25 18:00:28 +03:00
chenyuandGitHub 8985a4a023 one less branch in Buffer.view [pr] (#13829) 2025-12-25 09:34:15 -05:00
chenyuandGitHub 094753b4e0 renderer arch version cleanup [pr] (#13830) 2025-12-25 09:32:56 -05:00
chenyuandGitHub 54af29dbdb trange can just be a function (#13827) 2025-12-24 23:57:10 -05:00
qazalandGitHub a1c1684b91 set .amdhsa_kernarg_size in asm test (#13826) 2025-12-25 13:08:14 +09:00
chenyuandGitHub da1cb6a9ec update llama dataloader (#13825)
separate creating dataset from itererating over the dataset to not create eval data for each eval
2025-12-24 17:42:08 -05:00
chenyuandGitHub a7fc0c288b clean up BufferCopy init [pr] (#13824) 2025-12-24 10:40:15 -05:00
chenyuandGitHub 903753c60c llama wandb logging (#13822) 2025-12-24 10:24:59 -05:00
qazalandGitHub e3a646dce3 viz: skip plaintext disassemble for cfg (#13821) 2025-12-24 23:16:59 +09:00
chenyuandGitHub cb07c5d0e8 fewer import annotations (#13819) 2025-12-23 18:45:50 -05:00
George HotzandGitHub 43c6e973d8 add optional compiler in Renderer (#13817)
* add optional compiler in Renderer [pr]

* fix

* late init

* remove precompiled

* cleanup
2025-12-23 17:58:46 -05:00
George HotzandGitHub 8eab6175ee get_program refactor (#13816)
* get_program refactor

* fix docs

* cleanup
2025-12-23 16:44:46 -05:00
George HotzandGitHub 3d3c5b2fb9 add device to program (#13815)
* add device to program

* from_uop

* from_uop no renderer

* simpler global_size
2025-12-23 16:15:33 -05:00
nimlgenandGitHub 90b217896f am: xgmi p2p (#13811)
* system: use addr space

* am: xgmi

* fix

* ugh
2025-12-23 20:11:38 +03:00
George HotzandGitHub 6439a515be test fixups / speedups / var_vals refactor (#13812)
* no PYTHONPATH + llm server port 0

* llm tok speedup

* refactor var_vals
2025-12-23 12:05:59 -05:00
George HotzandGitHub 8dcba2e2cc no full_rewrite [pr] (#13809)
* no full_rewrite [pr]

* fix

* fix docs
2025-12-22 23:20:01 -05:00
George HotzandGitHub edce2303f4 rewrite to program (#13808) 2025-12-22 20:03:33 -05:00
George HotzandGitHub 2af2b4da5d Revert "rewrites for renderer and compiler (#13646)" (#13806)
This reverts commit 339dadf056.
2025-12-22 19:21:33 -05:00
George HotzandGitHub 339dadf056 rewrites for renderer and compiler (#13646)
* rewrites for renderer and compiler

* full_rewrite_to_program

* fix pre-commit

* compiler passed into get_program

* no pkl compiler

* lib on program spec

* fix spec

* fix test

* no device

* compiler_device

* nm

* fix nir

* fix

* simplest

* fix tests

* revert
2025-12-22 18:58:43 -05:00
Daniel XuandGitHub 4edaaf19e5 Handle tied embeddings for llama 3.2 1B (#13796)
Previously the output.weight layer would not be loaded, and would only
contain randomly initialized values. This led to junk when doing a
forward pass.

Signed-off-by: Daniel Xu <[email protected]>
2025-12-22 16:31:40 -05:00
chenyuandGitHub 7f1d41c9f9 delete files that import ShapeTracker (#13805) 2025-12-22 15:54:18 -05:00
qazalandGitHub b31373ca70 remove llvm-mca stuff from viz (#13802) 2025-12-23 01:41:51 +08:00
chenyuandGitHub 27d899ce97 TRAIN=0 to only eval llama (#13804) 2025-12-22 11:55:46 -05:00
chenyuandGitHub 39d962106f update llama logging (#13803)
```
REWRITE_STACK_LIMIT=1000000 SMALL=1 BASEDIR=/raid/datasets/c4-8b SAMPLES=1000 BS=8 DP=8 DEFAULT_FLOAT=bfloat16 OPTIM_DTYPE=bfloat16 LLAMA3_SIZE=8B SEQLEN=1024 PYTHONPATH=. MODEL=llama3 python3 examples/mlperf/model_train.py

    1 93.44 s run, 11.8750 loss, 0.000000000001 LR, 642.43 GB used,  19644.30 GFLOPS
    2 101.78 s run, 11.8750 loss, 0.000000000001 LR, 1454.57 GB used,  17039.35 GFLOPS
    3 7.34 s run, 11.8750 loss, 0.000000000002 LR, 1454.57 GB used, 236258.78 GFLOPS
    4 4.32 s run, 11.8750 loss, 0.000000000002 LR, 1454.57 GB used, 401488.40 GFLOPS
    5 4.36 s run, 11.9375 loss, 0.000000000003 LR, 1454.57 GB used, 398116.13 GFLOPS
    6 4.32 s run, 11.8750 loss, 0.000000000003 LR, 1454.57 GB used, 401878.60 GFLOPS
    7 4.34 s run, 11.8750 loss, 0.000000000004 LR, 1454.57 GB used, 399822.57 GFLOPS
    8 4.35 s run, 11.8750 loss, 0.000000000004 LR, 1454.57 GB used, 398512.24 GFLOPS
    9 4.36 s run, 11.8750 loss, 0.000000000005 LR, 1454.57 GB used, 397832.61 GFLOPS
   10 4.40 s run, 11.8750 loss, 0.000000000005 LR, 1454.57 GB used, 394520.83 GFLOPS
```
2025-12-22 11:28:29 -05:00
qazalandGitHub 389f01c7f4 viz: amdgpu assembly basic block graph (#13755) 2025-12-22 23:17:16 +08:00
George HotzandGitHub df0f9d6860 add olmoe support to llm (#13792)
* add olmoe support to llm

* cleanups

* simpler

* clean

* fix mypy

* lil

* remove dumb assert
2025-12-22 10:41:35 -04:00
qazalandGitHub 81d9053013 roc: cast to nullptr instead of changing header (#13801) 2025-12-22 22:34:06 +08:00
nimlgenandGitHub d299d30f2c am_smi: fix with new autogen (#13800) 2025-12-22 16:53:26 +03:00
nimlgenandGitHub f6bda6ae4e am: continue from saved state (#13799)
* am: gfx queue cont

* f

* reset

* f

* l
2025-12-22 15:55:07 +03:00
qazalandGitHub 6237bd86f6 sqtt/pmc viz improvements (#13797) 2025-12-22 18:16:35 +09:00
Sitananda PrasadandGitHub 3000b8d762 symbolic: add x ^ x -> 0 folding pattern (#13794) 2025-12-21 21:47:28 -04:00
chenyuandGitHub 5cb827f7bf clean up can_lossless_cast and add missing pairs [p] (#13793) 2025-12-21 12:18:33 -05:00
George HotzandGitHub 75a6a03664 add qwen3 moe support to tinygrad.apps.llm (#13775)
* qwen moe works

* simple moe

* one test

* integration
2025-12-21 12:36:02 -04:00
chenyuandGitHub 29ef0809bb can_safe_cast -> can_lossless_cast (#13789)
safe cast in numpy only means the result won't overflow, so lossless is more precise
2025-12-21 11:29:19 -05:00
chenyuandGitHub ed1fd7023b use getattr in dtype.truncate [pr] (#13788) 2025-12-21 11:05:43 -05:00
qazalandGitHub 9839838fdd viz UOp layout cleanup (#13787)
* use the same names in server and client

* first layout args, then renderer args
2025-12-21 22:11:40 +08:00
nimlgenandGitHub e523971028 am: make mqd contig (#13786) 2025-12-21 17:00:33 +03:00
qazalandGitHub 09e060eab5 simplify viz node labels (#13784) 2025-12-21 16:45:06 +08:00
qazalandGitHub dc660c9fc0 remove stale / untested viz related files (#13785) 2025-12-21 16:42:48 +08:00
149 changed files with 69101 additions and 2690 deletions
+8 -6
View File
@@ -429,13 +429,15 @@ jobs:
# LD_PRELOAD="/opt/rocm/lib/libhsa-runtime64.so" HSA=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py | tee torch_speed.txt
- name: Test speed vs theoretical
run: AMD=1 IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Test tensor cores
run: |
AMD=1 AMD_LLVM=0 python3 test/opt/test_tensor_cores.py
AMD=1 AMD_LLVM=1 python3 test/opt/test_tensor_cores.py
AMD=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Test tensor cores AMD_LLVM=0
run: AMD=1 AMD_LLVM=0 python3 test/opt/test_tensor_cores.py
# TODO: this is flaky
# - name: Test tensor cores AMD_LLVM=1
# run: AMD=1 AMD_LLVM=1 python3 test/opt/test_tensor_cores.py
- name: Run Tensor Core GEMM (AMD)
run: AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py | tee matmul_amd.txt
run: |
AMD=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py | tee matmul_amd.txt
- name: Test AMD=1
run: DEBUG=2 AMD=1 python -m pytest -rA test/test_tiny.py
#- name: Test HIP=1
+34 -4
View File
@@ -241,9 +241,8 @@ jobs:
run: |
python -m mypy --strict-equality --lineprecision-report .
cat lineprecision.txt
# broken because of UPatAny
#- name: Run TYPED=1
# run: TYPED=1 python -c "import tinygrad"
- name: Run TYPED=1
run: TYPED=1 python -c "import tinygrad"
unittest:
name: Unit Tests
@@ -642,7 +641,7 @@ jobs:
if: matrix.backend=='amdllvm'
run: python test/device/test_amd_llvm.py
- name: Run pytest (amd)
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 --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
@@ -655,6 +654,37 @@ jobs:
- name: Run process replay tests
uses: ./.github/actions/process-replay
testrdna3:
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'
- 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: Run RDNA3 emulator tests
run: python -m pytest -n=auto extra/assembly/amd/ --durations 20
- name: Install pdfplumber
run: pip install pdfplumber
- name: Verify AMD autogen is up to date
run: |
python -m extra.assembly.amd.dsl --arch all
python -m extra.assembly.amd.pcode --arch all
git diff --exit-code extra/assembly/amd/autogen/
testnvidia:
strategy:
fail-fast: false
+11 -28
View File
@@ -34,33 +34,6 @@ 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.
## Directory Structure
```
tinygrad/
├── tensor.py # Tensor class, user API
├── device.py # Buffer, device management
├── dtype.py # Data types
├── helpers.py # Utilities, environment vars
├── uop/
│ ├── ops.py # UOp class, Ops enum, PatternMatcher
│ ├── spec.py # UOp type verification
│ └── symbolic.py # Symbolic math simplification
├── engine/
│ ├── schedule.py # Schedule creation, caching
│ ├── realize.py # Tensor realization
│ ├── jit.py # JIT compilation
│ └── memory.py # Memory planning
├── schedule/
│ ├── rangeify.py # Convert movements to ranges
│ └── indexing.py # Index calculations
├── codegen/
│ ├── kernel.py # Kernel optimization
│ └── uopgraph.py # UOp graph transformations
├── renderer/ # Code generation (CUDA, Metal, etc.)
└── runtime/ # Device backends
```
## Testing
```bash
@@ -79,7 +52,7 @@ VIZ=1 python -c "from tinygrad import Tensor; Tensor.ones(10).sum().realize()"
## Common Environment Variables
- `DEBUG=1-4` - Increasing verbosity
- `DEBUG=1-7` - Increasing verbosity (7 shows assembly output)
- `VIZ=1` - Enable graph visualization
- `SPEC=1` - Enable UOp spec verification
- `NOOPT=1` - Disable optimizations
@@ -100,6 +73,16 @@ VIZ=1 python -c "from tinygrad import Tensor; Tensor.ones(10).sum().realize()"
- 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
+1 -1
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@@ -13,7 +13,7 @@ There's also a [doc describing speed](../developer/speed.md)
Everything in [Tensor](../tensor/index.md) is syntactic sugar around constructing a graph of [UOps](../developer/uop.md).
The `UOp` graph specifies the compute in terms of low level tinygrad ops. Not all UOps will actually become realized. There's two types of UOps, base and view. base contains compute into a contiguous buffer, and view is a view (specified by a ShapeTracker). Inputs to a base can be either base or view, inputs to a view can only be a single base.
The `UOp` graph specifies the compute in terms of low level tinygrad ops. Not all UOps will actually become realized. There's two types of UOps, base and view. base contains compute into a contiguous buffer, and view is a view. Inputs to a base can be either base or view, inputs to a view can only be a single base.
## Scheduling
+2 -2
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@@ -26,9 +26,9 @@ Transforms the ast into an optimized ast. This is where BEAM search and heuristi
## tinygrad/codegen
Transform the optimized ast into a linearized list of UOps.
Transform the optimized ast into a linearized and rendered program.
::: tinygrad.codegen.full_rewrite
::: tinygrad.codegen.get_program
options:
members: false
show_labels: false
-9
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@@ -1,9 +0,0 @@
import globals from "globals";
import pluginJs from "@eslint/js";
import pluginHtml from "eslint-plugin-html";
export default [
{files: ["**/*.html"], plugins: {html: pluginHtml}, rules:{"max-len": ["error", {"code": 150}]}},
{languageOptions: {globals: globals.browser}},
pluginJs.configs.recommended,
];
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@@ -763,48 +763,26 @@ class BlendedGPTDataset:
return dataset_idx, dataset_sample_idx
def batch_load_llama3(bs:int, samples:int, seqlen:int, base_dir:Path, seed:int=0, val:bool=True):
def get_llama3_dataset(samples:int, seqlen:int, base_dir:Path, seed:int=0, val:bool=True, small:bool=False) -> BlendedGPTDataset:
if small:
if val:
return BlendedGPTDataset(
[base_dir / "c4-validation-91205-samples.en_text_document"], [1.0], samples, seqlen, seed, shuffle=False)
return BlendedGPTDataset(
[base_dir / "c4-train.en_6_text_document"], [1.0], samples, seqlen, seed, shuffle=True)
if val:
dataset = BlendedGPTDataset([
base_dir / "validation" / "c4-validationn-91205-samples.en_text_document",
], [
1.0
], samples, seqlen, seed, False)
else:
dataset = BlendedGPTDataset([
base_dir / "c4-train.en_6_text_document",
base_dir / "c4-train.en_7_text_document",
], [
1.0, 1.0
], samples, seqlen, seed, True)
return BlendedGPTDataset(
[base_dir / "validation" / "c4-validationn-91205-samples.en_text_document"], [1.0], samples, seqlen, seed, shuffle=False)
return BlendedGPTDataset(
[base_dir / "c4-train.en_6_text_document", base_dir / "c4-train.en_7_text_document"], [1.0, 1.0], samples, seqlen, seed, shuffle=True)
for b in range(math.ceil(samples / bs)):
batch = []
for i in range(bs):
tokens = dataset.get(b * bs + i)
batch.append(tokens)
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)]
yield Tensor.stack(batch, dim=0)
def batch_load_llama3_small(bs:int, samples:int, seqlen:int, base_dir:Path, seed:int=0, val:bool=True):
if val:
dataset = BlendedGPTDataset([
base_dir / "c4-validation-91205-samples.en_text_document",
], [
1.0
], samples, seqlen, seed, False)
else:
dataset = BlendedGPTDataset([
base_dir / "c4-train.en_6_text_document",
], [
1.0
], samples, seqlen, seed, True)
for b in range(math.ceil(samples / bs)):
batch = []
for i in range(bs):
tokens = dataset.get(b * bs + i)
batch.append(tokens)
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)
if __name__ == "__main__":
def load_unet3d(val):
+3 -6
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@@ -234,12 +234,9 @@ def eval_llama3():
loss = logits.sparse_categorical_crossentropy(tokens[:, 1:])
return loss.flatten().float()
if SMALL:
from examples.mlperf.dataloader import batch_load_llama3_small
iter = batch_load_llama3_small(BS, 5760, SEQLEN, BASEDIR, val=True)
else:
from examples.mlperf.dataloader import batch_load_llama3
iter = batch_load_llama3(BS, 5760, SEQLEN, BASEDIR, val=True)
from examples.mlperf.dataloader import get_llama3_dataset, iterate_llama3_dataset
eval_dataset = get_llama3_dataset(5760, SEQLEN, BASEDIR, val=True, small=bool(SMALL))
iter = iterate_llama3_dataset(eval_dataset, BS)
losses = []
for tokens in tqdm(iter, total=5760//BS):
+48 -31
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@@ -1314,6 +1314,13 @@ def train_llama3():
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")
if WANDB:
import wandb
wandb_args = {"id": wandb_id, "resume": "must"} if (wandb_id := getenv("WANDB_RESUME", "")) else {}
wandb.init(config=config, **wandb_args, project="MLPerf-LLaMA3")
model_params = MODEL_PARAMS[getenv("LLAMA3_SIZE", "8B")]["args"]
# vocab_size from the mixtral tokenizer
if not SMALL: model_params |= {"vocab_size": 32000}
@@ -1417,49 +1424,56 @@ def train_llama3():
if getenv("FAKEDATA", 0):
return fake_data(BS, SAMPLES)
else:
if SMALL:
from examples.mlperf.dataloader import batch_load_llama3_small
return batch_load_llama3_small(BS, SAMPLES, SEQLEN, BASEDIR, seed=SEED, val=bool(TRAIN_ON_VAL))
else:
from examples.mlperf.dataloader import batch_load_llama3
return batch_load_llama3(BS, SAMPLES, SEQLEN, BASEDIR, seed=SEED, val=bool(TRAIN_ON_VAL))
from examples.mlperf.dataloader import batch_load_llama3
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(5760, SEQLEN, BASEDIR, val=True, small=bool(SMALL))
def get_eval_iter():
if getenv("FAKEDATA", 0):
if eval_dataset is None:
return fake_data(EVAL_BS, 5760)
else:
if SMALL:
from examples.mlperf.dataloader import batch_load_llama3_small
return batch_load_llama3_small(EVAL_BS, 5760, SEQLEN, BASEDIR, val=True)
else:
from examples.mlperf.dataloader import batch_load_llama3
return batch_load_llama3(EVAL_BS, 5760, SEQLEN, BASEDIR, val=True)
from examples.mlperf.dataloader import iterate_llama3_dataset
return iterate_llama3_dataset(eval_dataset, EVAL_BS)
iter = get_train_iter()
i, sequences_seen = resume_ckpt, 0
for tokens in tqdm(iter, total=SAMPLES//GBS):
t = time.perf_counter()
GlobalCounters.reset()
loss, lr = train_step(model, tokens)
loss = loss.float().item()
if getenv("TRAIN", 1):
t = time.perf_counter()
loss, lr = train_step(model, tokens)
loss = loss.float().item()
lr = lr.item()
i += 1
sequences_seen += tokens.shape[0]
i += 1
sequences_seen += tokens.shape[0]
tqdm.write(f"{loss:.4f} loss, {lr.item():.12f} LR, {GlobalCounters.mem_used / 1e9:.2f} GB used, {time.perf_counter()-t:.2f} s")
if (fname:=getenv("LOSS_FILE", "")):
with open(fname, "a") as f:
f.write(f"{i} {loss:.4f} {lr.item():.12f} {GlobalCounters.mem_used / 1e9:.2f}\n")
sec = time.perf_counter()-t
mem_gb = GlobalCounters.mem_used / 1e9
gflops = GlobalCounters.global_ops / 1e9 / sec
tqdm.write(
f"{i:5} {sec:.2f} s run, {loss:.4f} loss, {lr:.12f} LR, {mem_gb:.2f} GB used, {gflops:9.2f} GFLOPS")
if (ckpt_freq := getenv("CKPT")) and (i % ckpt_freq == 0 and (i != 1 or ckpt_freq == 1)):
tqdm.write("saving checkpoint")
if not os.path.exists(ckpt_dir := "./ckpts"): os.mkdir(ckpt_dir)
fn = f"{ckpt_dir}/llama3_{i}.safe"
safe_save(get_state_dict(model), fn)
if (fname:=getenv("LOSS_FILE", "")):
with open(fname, "a") as f:
f.write(f"{i} {loss:.4f} {lr:.12f} {mem_gb:.2f}\n")
tqdm.write("saving optim checkpoint")
fn = f"{ckpt_dir}/llama3_{i}_optim.safe"
safe_save(get_state_dict(scheduler), fn)
if WANDB:
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")
if not os.path.exists(ckpt_dir := "./ckpts"): os.mkdir(ckpt_dir)
fn = f"{ckpt_dir}/llama3_{i}.safe"
safe_save(get_state_dict(model), fn)
tqdm.write("saving optim checkpoint")
fn = f"{ckpt_dir}/llama3_{i}_optim.safe"
safe_save(get_state_dict(scheduler), fn)
if sequences_seen % EVAL_FREQ == 0 and (i != 1 or EVAL_FREQ == 1):
tqdm.write(f"evaluating after {sequences_seen} sequences")
@@ -1475,6 +1489,9 @@ def train_llama3():
tqdm.write(f"eval log perplexity: {log_perplexity:.4f}")
if WANDB:
wandb.log({"eval/log_perplexity": log_perplexity, "eval/sequences_seen": sequences_seen})
if log_perplexity < EVAL_TARGET:
tqdm.write(f"target achieved after {sequences_seen} sequences")
if getenv("CKPT"):
+2 -2
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@@ -184,7 +184,7 @@ class SMICtx:
if compact: return {k: temps[k] for k in ("Hotspot", "HBM") if temps.get(k, 0) != 0}
return {k: v for k, v in temps.items() if v != 0}
case _:
temps_keys = [(k, name) for k, name in dev.smu.smu_mod.c__EA_TEMP_e__enumvalues.items()
temps_keys = [(k, name) for k, name in dev.smu.smu_mod.TEMP_e.items()
if k < dev.smu.smu_mod.TEMP_COUNT and metrics.SmuMetrics.AvgTemperature[k] != 0]
if compact: temps_keys = [(k, name) for k, name in temps_keys if k in (dev.smu.smu_mod.TEMP_HOTSPOT, dev.smu.smu_mod.TEMP_MEM)]
return {name: metrics.SmuMetrics.AvgTemperature[k] for k, name in temps_keys}
@@ -193,7 +193,7 @@ class SMICtx:
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return {}
case _:
voltage_keys = [(k, name) for k, name in dev.smu.smu_mod.c__EA_SVI_PLANE_e__enumvalues.items()
voltage_keys = [(k, name) for k, name in dev.smu.smu_mod.SVI_PLANE_e.items()
if k < dev.smu.smu_mod.SVI_PLANE_COUNT and metrics.SmuMetrics.AvgVoltage[k] != 0]
return {name: metrics.SmuMetrics.AvgVoltage[k] for k, name in voltage_keys}
+760
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@@ -0,0 +1,760 @@
# RDNA3 assembler and disassembler
from __future__ import annotations
import re
from extra.assembly.amd.dsl import Inst, RawImm, Reg, SrcMod, SGPR, VGPR, TTMP, s, v, ttmp, _RegFactory, FLOAT_ENC, SRC_FIELDS, unwrap
from extra.assembly.amd.dsl import VCC_LO, VCC_HI, VCC, EXEC_LO, EXEC_HI, EXEC, SCC, M0, NULL, OFF
# Decoding helpers
SPECIAL_GPRS = {106: "vcc_lo", 107: "vcc_hi", 124: "null", 125: "m0", 126: "exec_lo", 127: "exec_hi", 253: "scc"}
SPECIAL_DEC = {**SPECIAL_GPRS, **{v: str(k) for k, v in FLOAT_ENC.items()}}
SPECIAL_PAIRS = {106: "vcc", 126: "exec"} # Special register pairs (for 64-bit ops)
# GFX11 hwreg names (IDs 16-17 are TBA - not supported, IDs 18-19 are PERF_SNAPSHOT)
HWREG_NAMES = {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_IDS = {v.lower(): k for k, v in HWREG_NAMES.items()} # Reverse map for assembler
MSG_NAMES = {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'}
_16BIT_TYPES = ('f16', 'i16', 'u16', 'b16')
def _is_16bit(s: str) -> bool: return any(s.endswith(x) for x in _16BIT_TYPES)
def decode_src(val: int) -> str:
if val <= 105: return f"s{val}"
if val in SPECIAL_DEC: return SPECIAL_DEC[val]
if 108 <= val <= 123: return f"ttmp{val - 108}"
if 128 <= val <= 192: return str(val - 128)
if 193 <= val <= 208: return str(-(val - 192))
if 256 <= val <= 511: return f"v{val - 256}"
return "lit" if val == 255 else f"?{val}"
def _reg(prefix: str, base: int, cnt: int = 1) -> str: return f"{prefix}{base}" if cnt == 1 else f"{prefix}[{base}:{base+cnt-1}]"
def _sreg(base: int, cnt: int = 1) -> str: return _reg("s", base, cnt)
def _vreg(base: int, cnt: int = 1) -> str: return _reg("v", base, cnt)
def _fmt_sdst(v: int, cnt: int = 1) -> str:
"""Format SGPR destination with special register names."""
if v == 124: return "null"
if 108 <= v <= 123: return _reg("ttmp", v - 108, cnt)
if cnt > 1 and v in SPECIAL_PAIRS: return SPECIAL_PAIRS[v]
if cnt > 1: return _sreg(v, cnt)
return {126: "exec_lo", 127: "exec_hi", 106: "vcc_lo", 107: "vcc_hi", 125: "m0"}.get(v, f"s{v}")
def _fmt_ssrc(v: int, cnt: int = 1) -> str:
"""Format SGPR source with special register names and pairs."""
if cnt == 2:
if v in SPECIAL_PAIRS: return SPECIAL_PAIRS[v]
if v <= 105: return _sreg(v, 2)
if 108 <= v <= 123: return _reg("ttmp", v - 108, 2)
return decode_src(v)
def _fmt_src_n(v: int, cnt: int) -> str:
"""Format source with given register count (1, 2, or 4)."""
if cnt == 1: return decode_src(v)
if v >= 256: return _vreg(v - 256, cnt)
if v <= 105: return _sreg(v, cnt)
if cnt == 2 and v in SPECIAL_PAIRS: return SPECIAL_PAIRS[v]
if 108 <= v <= 123: return _reg("ttmp", v - 108, cnt)
return decode_src(v)
def _fmt_src64(v: int) -> str:
"""Format 64-bit source (VGPR pair, SGPR pair, or special pair)."""
return _fmt_src_n(v, 2)
def _parse_sop_sizes(op_name: str) -> tuple[int, ...]:
"""Parse dst and src sizes from SOP instruction name. Returns (dst_cnt, src0_cnt) or (dst_cnt, src0_cnt, src1_cnt)."""
if op_name in ('s_bitset0_b64', 's_bitset1_b64'): return (2, 1)
if op_name in ('s_lshl_b64', 's_lshr_b64', 's_ashr_i64', 's_bfe_u64', 's_bfe_i64'): return (2, 2, 1)
if op_name in ('s_bfm_b64',): return (2, 1, 1)
# SOPC: s_bitcmp0_b64, s_bitcmp1_b64 - 64-bit src0, 32-bit src1 (bit index)
if op_name in ('s_bitcmp0_b64', 's_bitcmp1_b64'): return (1, 2, 1)
if m := re.search(r'_(b|i|u)(32|64)_(b|i|u)(32|64)$', op_name):
return (2 if m.group(2) == '64' else 1, 2 if m.group(4) == '64' else 1)
if m := re.search(r'_(b|i|u)(32|64)$', op_name):
sz = 2 if m.group(2) == '64' else 1
return (sz, sz)
return (1, 1)
# Waitcnt helpers (RDNA3 format: bits 15:10=vmcnt, bits 9:4=lgkmcnt, bits 3:0=expcnt)
def waitcnt(vmcnt: int = 0x3f, expcnt: int = 0x7, lgkmcnt: int = 0x3f) -> int:
return (expcnt & 0x7) | ((lgkmcnt & 0x3f) << 4) | ((vmcnt & 0x3f) << 10)
def decode_waitcnt(val: int) -> tuple[int, int, int]:
return (val >> 10) & 0x3f, val & 0xf, (val >> 4) & 0x3f # vmcnt, expcnt, lgkmcnt
# VOP3SD opcodes (shared encoding with VOP3 but different field layout)
# Note: opcodes 0-255 are VOPC promoted to VOP3 - never treat as VOP3SD
VOP3SD_OPCODES = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
# Disassembler
def disasm(inst: Inst) -> str:
op_val = unwrap(inst._values.get('op', 0))
cls_name = inst.__class__.__name__
# VOP3 and VOP3SD share encoding - check opcode to determine which
is_vop3sd = cls_name == 'VOP3' and op_val in VOP3SD_OPCODES
try:
from extra.assembly.amd.autogen import rdna3 as autogen
if is_vop3sd:
op_name = autogen.VOP3SDOp(op_val).name.lower()
else:
op_name = getattr(autogen, f"{cls_name}Op")(op_val).name.lower() if hasattr(autogen, f"{cls_name}Op") else f"op_{op_val}"
except (ValueError, KeyError): op_name = f"op_{op_val}"
def fmt_src(v): return f"0x{inst._literal:x}" if v == 255 and inst._literal is not None else decode_src(v)
# VOP1
if cls_name == 'VOP1':
vdst, src0 = unwrap(inst._values['vdst']), unwrap(inst._values['src0'])
if op_name == 'v_nop': return 'v_nop'
if op_name == 'v_pipeflush': return 'v_pipeflush'
parts = op_name.split('_')
is_16bit_dst = any(p in _16BIT_TYPES for p in parts[-2:-1]) or (len(parts) >= 2 and parts[-1] in _16BIT_TYPES and 'cvt' not in op_name)
is_16bit_src = parts[-1] in _16BIT_TYPES and 'sat_pk' not in op_name
_F64_OPS = ('v_ceil_f64', 'v_floor_f64', 'v_fract_f64', 'v_frexp_mant_f64', 'v_rcp_f64', 'v_rndne_f64', 'v_rsq_f64', 'v_sqrt_f64', 'v_trunc_f64')
is_f64_dst = op_name in _F64_OPS or op_name in ('v_cvt_f64_f32', 'v_cvt_f64_i32', 'v_cvt_f64_u32')
is_f64_src = op_name in _F64_OPS or op_name in ('v_cvt_f32_f64', 'v_cvt_i32_f64', 'v_cvt_u32_f64', 'v_frexp_exp_i32_f64')
if op_name == 'v_readfirstlane_b32':
return f"v_readfirstlane_b32 {decode_src(vdst)}, v{src0 - 256 if src0 >= 256 else src0}"
dst_str = _vreg(vdst, 2) if is_f64_dst else f"v{vdst & 0x7f}.{'h' if vdst >= 128 else 'l'}" if is_16bit_dst else f"v{vdst}"
src_str = _fmt_src64(src0) if is_f64_src else f"v{(src0 - 256) & 0x7f}.{'h' if src0 >= 384 else 'l'}" if is_16bit_src and src0 >= 256 else fmt_src(src0)
return f"{op_name}_e32 {dst_str}, {src_str}"
# VOP2
if cls_name == 'VOP2':
vdst, src0_raw, vsrc1 = unwrap(inst._values['vdst']), unwrap(inst._values['src0']), unwrap(inst._values['vsrc1'])
suffix = "" if op_name == "v_dot2acc_f32_f16" else "_e32"
is_16bit_op = ('_f16' in op_name or '_i16' in op_name or '_u16' in op_name) and '_f32' not in op_name and '_i32' not in op_name and 'pk_' not in op_name
if is_16bit_op:
dst_str = f"v{vdst & 0x7f}.{'h' if vdst >= 128 else 'l'}"
src0_str = f"v{(src0_raw - 256) & 0x7f}.{'h' if src0_raw >= 384 else 'l'}" if src0_raw >= 256 else fmt_src(src0_raw)
vsrc1_str = f"v{vsrc1 & 0x7f}.{'h' if vsrc1 >= 128 else 'l'}"
else:
dst_str, src0_str, vsrc1_str = f"v{vdst}", fmt_src(src0_raw), f"v{vsrc1}"
return f"{op_name}{suffix} {dst_str}, {src0_str}, {vsrc1_str}" + (", vcc_lo" if op_name == "v_cndmask_b32" else "")
# VOPC
if cls_name == 'VOPC':
src0, vsrc1 = unwrap(inst._values['src0']), unwrap(inst._values['vsrc1'])
is_64bit = any(x in op_name for x in ('f64', 'i64', 'u64'))
is_64bit_vsrc1 = is_64bit and 'class' not in op_name
is_16bit = any(x in op_name for x in ('_f16', '_i16', '_u16')) and 'f32' not in op_name
is_cmpx = op_name.startswith('v_cmpx') # VOPCX writes to exec, no vcc destination
src0_str = _fmt_src64(src0) if is_64bit else f"v{(src0 - 256) & 0x7f}.{'h' if src0 >= 384 else 'l'}" if is_16bit and src0 >= 256 else fmt_src(src0)
vsrc1_str = _vreg(vsrc1, 2) if is_64bit_vsrc1 else f"v{vsrc1 & 0x7f}.{'h' if vsrc1 >= 128 else 'l'}" if is_16bit else f"v{vsrc1}"
return f"{op_name}_e32 {src0_str}, {vsrc1_str}" if is_cmpx else f"{op_name}_e32 vcc_lo, {src0_str}, {vsrc1_str}"
# SOPP
if cls_name == 'SOPP':
simm16 = unwrap(inst._values.get('simm16', 0))
# No-operand instructions (simm16 is ignored)
no_imm_ops = ('s_endpgm', 's_barrier', 's_wakeup', 's_icache_inv', 's_ttracedata', 's_ttracedata_imm',
's_wait_idle', 's_endpgm_saved', 's_code_end', 's_endpgm_ordered_ps_done')
if op_name in no_imm_ops: return op_name
if op_name == 's_waitcnt':
vmcnt, expcnt, lgkmcnt = decode_waitcnt(simm16)
parts = []
if vmcnt != 0x3f: parts.append(f"vmcnt({vmcnt})")
if expcnt != 0x7: parts.append(f"expcnt({expcnt})")
if lgkmcnt != 0x3f: parts.append(f"lgkmcnt({lgkmcnt})")
return f"s_waitcnt {' '.join(parts)}" if parts else "s_waitcnt 0"
if op_name == 's_delay_alu':
dep_names = ['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']
skip_names = ['SAME','NEXT','SKIP_1','SKIP_2','SKIP_3','SKIP_4']
id0, skip, id1 = simm16 & 0xf, (simm16 >> 4) & 0x7, (simm16 >> 7) & 0xf
def dep_name(v): return dep_names[v-1] if 0 < v <= len(dep_names) else str(v)
parts = [f"instid0({dep_name(id0)})"] if id0 else []
if skip: parts.append(f"instskip({skip_names[skip]})")
if id1: parts.append(f"instid1({dep_name(id1)})")
return f"s_delay_alu {' | '.join(p for p in parts if p)}" if parts else "s_delay_alu 0"
if op_name.startswith('s_cbranch') or op_name.startswith('s_branch'):
return f"{op_name} {simm16}"
# Most SOPP ops require immediate (s_nop, s_setkill, s_sethalt, s_sleep, s_setprio, s_sendmsg*, etc.)
return f"{op_name} 0x{simm16:x}"
# SMEM
if cls_name == 'SMEM':
if op_name in ('s_gl1_inv', 's_dcache_inv'): return op_name
sdata, sbase, soffset, offset = unwrap(inst._values['sdata']), unwrap(inst._values['sbase']), unwrap(inst._values['soffset']), unwrap(inst._values.get('offset', 0))
glc, dlc = unwrap(inst._values.get('glc', 0)), unwrap(inst._values.get('dlc', 0))
# Format offset: "soffset offset:X" if both, "0x{offset:x}" if only imm, or decode_src(soffset)
off_str = f"{decode_src(soffset)} offset:0x{offset:x}" if offset and soffset != 124 else f"0x{offset:x}" if offset else decode_src(soffset)
sbase_idx, sbase_cnt = sbase * 2, 4 if (8 <= op_val <= 12 or op_name == 's_atc_probe_buffer') else 2
sbase_str = _fmt_ssrc(sbase_idx, sbase_cnt) if sbase_cnt == 2 else _sreg(sbase_idx, sbase_cnt) if sbase_idx <= 105 else _reg("ttmp", sbase_idx - 108, sbase_cnt)
if op_name in ('s_atc_probe', 's_atc_probe_buffer'): return f"{op_name} {sdata}, {sbase_str}, {off_str}"
width = {0:1, 1:2, 2:4, 3:8, 4:16, 8:1, 9:2, 10:4, 11:8, 12:16}.get(op_val, 1)
mods = [m for m in ["glc" if glc else "", "dlc" if dlc else ""] if m]
return f"{op_name} {_fmt_sdst(sdata, width)}, {sbase_str}, {off_str}" + (" " + " ".join(mods) if mods else "")
# FLAT
if cls_name == 'FLAT':
vdst, addr, data, saddr, offset, seg = [unwrap(inst._values.get(f, 0)) for f in ['vdst', 'addr', 'data', 'saddr', 'offset', 'seg']]
instr = f"{['flat', 'scratch', 'global'][seg] if seg < 3 else 'flat'}_{op_name.split('_', 1)[1] if '_' in op_name else op_name}"
width = {'b32':1, 'b64':2, 'b96':3, 'b128':4, 'u8':1, 'i8':1, 'u16':1, 'i16':1}.get(op_name.split('_')[-1], 1)
addr_str = _vreg(addr, 2) if saddr == 0x7F else _vreg(addr)
saddr_str = "" if saddr == 0x7F else f", {_sreg(saddr, 2)}" if saddr < 106 else ", off" if saddr == 124 else f", {decode_src(saddr)}"
off_str = f" offset:{offset}" if offset else ""
vdata_str = _vreg(data if 'store' in op_name else vdst, width)
return f"{instr} {addr_str}, {vdata_str}{saddr_str}{off_str}" if 'store' in op_name else f"{instr} {vdata_str}, {addr_str}{saddr_str}{off_str}"
# VOP3: vector ops with modifiers (can be 1, 2, or 3 sources depending on opcode range)
if cls_name == 'VOP3':
# Handle VOP3SD opcodes (same encoding, different field layout)
if is_vop3sd:
vdst = unwrap(inst._values.get('vdst', 0))
# VOP3SD: sdst is at bits [14:8], but VOP3 decodes opsel at [14:11], abs at [10:8], clmp at [15]
# We need to reconstruct sdst from these fields
opsel_raw = unwrap(inst._values.get('opsel', 0))
abs_raw = unwrap(inst._values.get('abs', 0))
clmp_raw = unwrap(inst._values.get('clmp', 0))
sdst = (clmp_raw << 7) | (opsel_raw << 3) | abs_raw
src0, src1, src2 = [unwrap(inst._values.get(f, 0)) for f in ('src0', 'src1', 'src2')]
neg = unwrap(inst._values.get('neg', 0))
omod = unwrap(inst._values.get('omod', 0))
omod_str = {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(omod, "")
is_f64 = 'f64' in op_name
# v_mad_i64_i32/v_mad_u64_u32: 64-bit dst and src2, 32-bit src0/src1
is_mad64 = 'mad_i64_i32' in op_name or 'mad_u64_u32' in op_name
def fmt_sd_src(v, neg_bit, is_64bit=False):
s = _fmt_src64(v) if (is_64bit or is_f64) else fmt_src(v)
return f"-{s}" if neg_bit else s
src0_str, src1_str = fmt_sd_src(src0, neg & 1), fmt_sd_src(src1, neg & 2)
src2_str = fmt_sd_src(src2, neg & 4, is_mad64)
dst_str = _vreg(vdst, 2) if (is_f64 or is_mad64) else f"v{vdst}"
sdst_str = _fmt_sdst(sdst, 1)
# v_add_co_u32, v_sub_co_u32, v_subrev_co_u32, v_add_co_ci_u32, etc. only use 2 sources
if op_name in ('v_add_co_u32', 'v_sub_co_u32', 'v_subrev_co_u32', 'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'):
return f"{op_name} {dst_str}, {sdst_str}, {src0_str}, {src1_str}"
# v_div_scale uses 3 sources
return f"{op_name} {dst_str}, {sdst_str}, {src0_str}, {src1_str}, {src2_str}" + omod_str
vdst = unwrap(inst._values.get('vdst', 0))
src0, src1, src2 = [unwrap(inst._values.get(f, 0)) for f in ('src0', 'src1', 'src2')]
neg, abs_, clmp = unwrap(inst._values.get('neg', 0)), unwrap(inst._values.get('abs', 0)), unwrap(inst._values.get('clmp', 0))
opsel = unwrap(inst._values.get('opsel', 0))
# Check if 64-bit op (needs register pairs)
is_f64 = 'f64' in op_name or 'i64' in op_name or 'u64' in op_name or 'b64' in op_name
# v_cmp_class_* has 64-bit src0 but 32-bit src1 (class mask)
is_class = 'class' in op_name
# Shift ops: v_*rev_*64 have 32-bit shift amount (src0), 64-bit value (src1)
is_shift64 = 'rev' in op_name and '64' in op_name and op_name.startswith('v_')
# v_ldexp_f64: 64-bit src0 (mantissa), 32-bit src1 (exponent)
is_ldexp64 = op_name == 'v_ldexp_f64'
# v_trig_preop_f64: 64-bit dst/src0, 32-bit src1 (exponent/scale)
is_trig_preop = op_name == 'v_trig_preop_f64'
# v_readlane_b32: destination is SGPR (despite vdst field)
is_readlane = op_name == 'v_readlane_b32'
# SAD/QSAD/MQSAD instructions have mixed sizes
# v_qsad_pk_u16_u8, v_mqsad_pk_u16_u8: 64-bit dst/src0/src2, 32-bit src1
# v_mqsad_u32_u8: 128-bit (4 reg) dst/src2, 64-bit src0, 32-bit src1
is_sad64 = any(x in op_name for x in ('qsad_pk', 'mqsad_pk'))
is_mqsad_u32 = 'mqsad_u32' in op_name
# Detect 16-bit and 64-bit operand sizes for various instruction patterns
if 'cvt_pk' in op_name:
is_f16_dst, is_f16_src, is_f16_src2 = False, op_name.endswith('16'), False
elif m := re.match(r'v_(?:cvt|frexp_exp)_([a-z0-9_]+)_([a-z0-9]+)', op_name):
dst_type, src_type = m.group(1), m.group(2)
is_f16_dst, is_f16_src, is_f16_src2 = _is_16bit(dst_type), _is_16bit(src_type), _is_16bit(src_type)
is_f64_dst, is_f64_src, is_f64 = '64' in dst_type, '64' in src_type, False
elif re.match(r'v_mad_[iu]32_[iu]16', op_name):
is_f16_dst, is_f16_src, is_f16_src2 = False, True, False # 32-bit dst, 16-bit src0/src1, 32-bit src2
elif 'pack_b32' in op_name:
is_f16_dst, is_f16_src, is_f16_src2 = False, True, True # 32-bit dst, 16-bit sources
else:
is_16bit_op = any(x in op_name for x in _16BIT_TYPES) and not any(x in op_name for x in ('dot2', 'pk_', 'sad', 'msad', 'qsad', 'mqsad'))
is_f16_dst = is_f16_src = is_f16_src2 = is_16bit_op
# Check if any opsel bit is set (any operand uses .h) - if so, we need explicit .l for low-half
any_hi = opsel != 0
def fmt_vop3_src(v, neg_bit, abs_bit, hi_bit=False, reg_cnt=1, is_16=False):
s = _fmt_src_n(v, reg_cnt) if reg_cnt > 1 else f"v{v - 256}.h" if is_16 and v >= 256 and hi_bit else f"v{v - 256}.l" if is_16 and v >= 256 and any_hi else fmt_src(v)
if abs_bit: s = f"|{s}|"
return f"-{s}" if neg_bit else s
# Determine register count for each source (check for cvt-specific 64-bit flags first)
is_src0_64 = locals().get('is_f64_src', is_f64 and not is_shift64) or is_sad64 or is_mqsad_u32
is_src1_64 = is_f64 and not is_class and not is_ldexp64 and not is_trig_preop
src0_cnt = 2 if is_src0_64 else 1
src1_cnt = 2 if is_src1_64 else 1
src2_cnt = 4 if is_mqsad_u32 else 2 if (is_f64 or is_sad64) else 1
src0_str = fmt_vop3_src(src0, neg & 1, abs_ & 1, opsel & 1, src0_cnt, is_f16_src)
src1_str = fmt_vop3_src(src1, neg & 2, abs_ & 2, opsel & 2, src1_cnt, is_f16_src)
src2_str = fmt_vop3_src(src2, neg & 4, abs_ & 4, opsel & 4, src2_cnt, is_f16_src2)
# Format destination - for 16-bit ops, use .h/.l suffix; readlane uses SGPR dest
is_dst_64 = locals().get('is_f64_dst', is_f64) or is_sad64
dst_cnt = 4 if is_mqsad_u32 else 2 if is_dst_64 else 1
if is_readlane:
dst_str = _fmt_sdst(vdst, 1)
elif dst_cnt > 1:
dst_str = _vreg(vdst, dst_cnt)
elif is_f16_dst:
dst_str = f"v{vdst}.h" if (opsel & 8) else f"v{vdst}.l" if any_hi else f"v{vdst}"
else:
dst_str = f"v{vdst}"
clamp_str = " clamp" if clmp else ""
omod = unwrap(inst._values.get('omod', 0))
omod_str = {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(omod, "")
# op_sel for non-VGPR sources (when opsel bits are set but source is not a VGPR)
# For 16-bit ops with VGPR sources, opsel is encoded in .h/.l suffix
# For non-VGPR sources or non-16-bit ops, we need explicit op_sel
has_nonvgpr_opsel = (src0 < 256 and (opsel & 1)) or (src1 < 256 and (opsel & 2)) or (src2 < 256 and (opsel & 4))
need_opsel = has_nonvgpr_opsel or (opsel and not is_f16_src)
# Helper to format opsel string based on source count
def fmt_opsel(num_src):
if not need_opsel: return ""
# When dst is .h (for 16-bit ops) and non-VGPR sources have opsel, use all 1s
if is_f16_dst and (opsel & 8): # dst is .h
return f" op_sel:[1,1,1{',1' if num_src == 3 else ''}]"
# Otherwise output actual opsel values
if num_src == 3:
return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1},{(opsel >> 3) & 1}]"
return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1}]"
# Determine number of sources based on opcode range:
# 0-255: VOPC promoted (comparison, 2 src, sdst)
# 256-383: VOP2 promoted (2 src)
# 384-511: VOP1 promoted (1 src)
# 512+: Native VOP3 (2 or 3 src depending on instruction)
if op_val < 256: # VOPC promoted
# VOPCX (v_cmpx_*) writes to exec, no explicit destination
if op_name.startswith('v_cmpx'):
return f"{op_name}_e64 {src0_str}, {src1_str}"
return f"{op_name}_e64 {_fmt_sdst(vdst, 1)}, {src0_str}, {src1_str}"
elif op_val < 384: # VOP2 promoted
# v_cndmask_b32 in VOP3 format has 3 sources (src2 is mask selector)
if 'cndmask' in op_name:
return f"{op_name}_e64 {dst_str}, {src0_str}, {src1_str}, {src2_str}" + fmt_opsel(3) + clamp_str + omod_str
return f"{op_name}_e64 {dst_str}, {src0_str}, {src1_str}" + fmt_opsel(2) + clamp_str + omod_str
elif op_val < 512: # VOP1 promoted
if op_name in ('v_nop', 'v_pipeflush'): return f"{op_name}_e64"
return f"{op_name}_e64 {dst_str}, {src0_str}" + fmt_opsel(1) + clamp_str + omod_str
else: # Native VOP3 - determine 2 vs 3 sources based on instruction name
# 3-source ops: fma, mad, min3, max3, med3, div_fixup, div_fmas, sad, msad, qsad, mqsad, lerp, alignbit/byte, cubeid/sc/tc/ma, bfe, bfi, perm_b32, permlane, cndmask
# Note: v_writelane_b32 is 2-src (src0, src1 with vdst as 3rd operand - read-modify-write)
is_3src = any(x in op_name for x in ('fma', 'mad', 'min3', 'max3', 'med3', 'div_fix', 'div_fmas', 'sad', 'lerp', 'align', 'cube',
'bfe', 'bfi', 'perm_b32', 'permlane', 'cndmask', 'xor3', 'or3', 'add3', 'lshl_or', 'and_or', 'lshl_add',
'add_lshl', 'xad', 'maxmin', 'minmax', 'dot2', 'cvt_pk_u8', 'mullit'))
if is_3src:
return f"{op_name} {dst_str}, {src0_str}, {src1_str}, {src2_str}" + fmt_opsel(3) + clamp_str + omod_str
return f"{op_name} {dst_str}, {src0_str}, {src1_str}" + fmt_opsel(2) + clamp_str + omod_str
# VOP3SD: 3-source with scalar destination (v_div_scale_*, v_add_co_u32, v_mad_*64_*32, etc.)
if cls_name == 'VOP3SD':
vdst, sdst = unwrap(inst._values.get('vdst', 0)), unwrap(inst._values.get('sdst', 0))
src0, src1, src2 = [unwrap(inst._values.get(f, 0)) for f in ('src0', 'src1', 'src2')]
neg, omod, clmp = unwrap(inst._values.get('neg', 0)), unwrap(inst._values.get('omod', 0)), unwrap(inst._values.get('clmp', 0))
is_f64, is_mad64 = 'f64' in op_name, 'mad_i64_i32' in op_name or 'mad_u64_u32' in op_name
def fmt_neg(v, neg_bit, is_64=False): return f"-{_fmt_src64(v) if (is_64 or is_f64) else fmt_src(v)}" if neg_bit else _fmt_src64(v) if (is_64 or is_f64) else fmt_src(v)
srcs = [fmt_neg(src0, neg & 1), fmt_neg(src1, neg & 2), fmt_neg(src2, neg & 4, is_mad64)]
dst_str, sdst_str = _vreg(vdst, 2) if (is_f64 or is_mad64) else f"v{vdst}", _fmt_sdst(sdst, 1)
clamp_str, omod_str = " clamp" if clmp else "", {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(omod, "")
is_2src = op_name in ('v_add_co_u32', 'v_sub_co_u32', 'v_subrev_co_u32')
suffix = "_e64" if op_name.startswith('v_') and 'co_' in op_name else ""
return f"{op_name}{suffix} {dst_str}, {sdst_str}, {', '.join(srcs[:2] if is_2src else srcs)}" + clamp_str + omod_str
# VOPD: dual-issue instructions
if cls_name == 'VOPD':
from extra.assembly.amd.autogen import rdna3 as autogen
opx, opy, vdstx, vdsty_enc = [unwrap(inst._values.get(f, 0)) for f in ('opx', 'opy', 'vdstx', 'vdsty')]
srcx0, vsrcx1, srcy0, vsrcy1 = [unwrap(inst._values.get(f, 0)) for f in ('srcx0', 'vsrcx1', 'srcy0', 'vsrcy1')]
vdsty = (vdsty_enc << 1) | ((vdstx & 1) ^ 1) # Decode vdsty
def fmt_vopd(op, vdst, src0, vsrc1):
try: name = autogen.VOPDOp(op).name.lower()
except (ValueError, KeyError): name = f"op_{op}"
return f"{name} v{vdst}, {fmt_src(src0)}" if 'mov' in name else f"{name} v{vdst}, {fmt_src(src0)}, v{vsrc1}"
return f"{fmt_vopd(opx, vdstx, srcx0, vsrcx1)} :: {fmt_vopd(opy, vdsty, srcy0, vsrcy1)}"
# VOP3P: packed vector ops
if cls_name == 'VOP3P':
vdst, clmp = unwrap(inst._values.get('vdst', 0)), unwrap(inst._values.get('clmp', 0))
src0, src1, src2 = [unwrap(inst._values.get(f, 0)) for f in ('src0', 'src1', 'src2')]
neg, neg_hi = unwrap(inst._values.get('neg', 0)), unwrap(inst._values.get('neg_hi', 0))
opsel, opsel_hi, opsel_hi2 = unwrap(inst._values.get('opsel', 0)), unwrap(inst._values.get('opsel_hi', 0)), unwrap(inst._values.get('opsel_hi2', 0))
is_wmma, is_3src = 'wmma' in op_name, any(x in op_name for x in ('fma', 'mad', 'dot', 'wmma'))
def fmt_bits(name, val, n): return f"{name}:[{','.join(str((val >> i) & 1) for i in range(n))}]"
# WMMA: f16/bf16 use 8-reg sources, iu8 uses 4-reg, iu4 uses 2-reg; all have 8-reg dst
if is_wmma:
src_cnt = 2 if 'iu4' in op_name else 4 if 'iu8' in op_name else 8
src0_str, src1_str, src2_str = _fmt_src_n(src0, src_cnt), _fmt_src_n(src1, src_cnt), _fmt_src_n(src2, 8)
dst_str = _vreg(vdst, 8)
else:
src0_str, src1_str, src2_str = _fmt_src_n(src0, 1), _fmt_src_n(src1, 1), _fmt_src_n(src2, 1)
dst_str = f"v{vdst}"
n = 3 if is_3src else 2
full_opsel_hi = opsel_hi | (opsel_hi2 << 2)
mods = [fmt_bits("op_sel", opsel, n)] if opsel else []
if full_opsel_hi != (0b111 if is_3src else 0b11): mods.append(fmt_bits("op_sel_hi", full_opsel_hi, n))
if neg: mods.append(fmt_bits("neg_lo", neg, n))
if neg_hi: mods.append(fmt_bits("neg_hi", neg_hi, n))
if clmp: mods.append("clamp")
mod_str = " " + " ".join(mods) if mods else ""
return f"{op_name} {dst_str}, {src0_str}, {src1_str}, {src2_str}{mod_str}" if is_3src else f"{op_name} {dst_str}, {src0_str}, {src1_str}{mod_str}"
# VINTERP: interpolation instructions
if cls_name == 'VINTERP':
vdst = unwrap(inst._values.get('vdst', 0))
src0, src1, src2 = [unwrap(inst._values.get(f, 0)) for f in ('src0', 'src1', 'src2')]
neg, waitexp, clmp = unwrap(inst._values.get('neg', 0)), unwrap(inst._values.get('waitexp', 0)), unwrap(inst._values.get('clmp', 0))
def fmt_neg_vi(v, neg_bit): return f"-{v}" if neg_bit else v
srcs = [fmt_neg_vi(f"v{s - 256}" if s >= 256 else fmt_src(s), neg & (1 << i)) for i, s in enumerate([src0, src1, src2])]
mods = [m for m in [f"wait_exp:{waitexp}" if waitexp else "", "clamp" if clmp else ""] if m]
return f"{op_name} v{vdst}, {', '.join(srcs)}" + (" " + " ".join(mods) if mods else "")
# MUBUF/MTBUF helpers
def _buf_vaddr(vaddr, offen, idxen): return _vreg(vaddr, 2) if offen and idxen else f"v{vaddr}" if offen or idxen else "off"
def _buf_srsrc(srsrc): srsrc_base = srsrc * 4; return _reg("ttmp", srsrc_base - 108, 4) if 108 <= srsrc_base <= 123 else _sreg(srsrc_base, 4)
# MUBUF: buffer load/store
if cls_name == 'MUBUF':
vdata, vaddr, srsrc, soffset = [unwrap(inst._values.get(f, 0)) for f in ('vdata', 'vaddr', 'srsrc', 'soffset')]
offset, offen, idxen = unwrap(inst._values.get('offset', 0)), unwrap(inst._values.get('offen', 0)), unwrap(inst._values.get('idxen', 0))
glc, dlc, slc, tfe = [unwrap(inst._values.get(f, 0)) for f in ('glc', 'dlc', 'slc', 'tfe')]
if op_name in ('buffer_gl0_inv', 'buffer_gl1_inv'): return op_name
# Determine data width from op name
if 'd16' in op_name: width = 2 if any(x in op_name for x in ('xyz', 'xyzw')) else 1
elif 'atomic' in op_name:
base_width = 2 if any(x in op_name for x in ('b64', 'u64', 'i64')) else 1
width = base_width * 2 if 'cmpswap' in op_name else base_width
else: width = {'b32':1, 'b64':2, 'b96':3, 'b128':4, 'b16':1, 'x':1, 'xy':2, 'xyz':3, 'xyzw':4}.get(op_name.split('_')[-1], 1)
if tfe: width += 1
mods = [m for m in ["offen" if offen else "", "idxen" if idxen else "", f"offset:{offset}" if offset else "",
"glc" if glc else "", "dlc" if dlc else "", "slc" if slc else "", "tfe" if tfe else ""] if m]
return f"{op_name} {_vreg(vdata, width)}, {_buf_vaddr(vaddr, offen, idxen)}, {_buf_srsrc(srsrc)}, {decode_src(soffset)}" + (" " + " ".join(mods) if mods else "")
# MTBUF: typed buffer load/store
if cls_name == 'MTBUF':
vdata, vaddr, srsrc, soffset = [unwrap(inst._values.get(f, 0)) for f in ('vdata', 'vaddr', 'srsrc', 'soffset')]
offset, tbuf_fmt, offen, idxen = [unwrap(inst._values.get(f, 0)) for f in ('offset', 'format', 'offen', 'idxen')]
glc, dlc, slc = [unwrap(inst._values.get(f, 0)) for f in ('glc', 'dlc', 'slc')]
mods = [f"format:{tbuf_fmt}"] + [m for m in ["idxen" if idxen else "", "offen" if offen else "", f"offset:{offset}" if offset else "",
"glc" if glc else "", "dlc" if dlc else "", "slc" if slc else ""] if m]
width = 2 if 'd16' in op_name and any(x in op_name for x in ('xyz', 'xyzw')) else 1 if 'd16' in op_name else {'x':1, 'xy':2, 'xyz':3, 'xyzw':4}.get(op_name.split('_')[-1], 1)
return f"{op_name} {_vreg(vdata, width)}, {_buf_vaddr(vaddr, offen, idxen)}, {_buf_srsrc(srsrc)}, {decode_src(soffset)} {' '.join(mods)}"
# SOP1/SOP2/SOPC/SOPK
if cls_name in ('SOP1', 'SOP2', 'SOPC', 'SOPK'):
sizes = _parse_sop_sizes(op_name)
dst_cnt, src0_cnt = sizes[0], sizes[1]
src1_cnt = sizes[2] if len(sizes) > 2 else src0_cnt
if cls_name == 'SOP1':
sdst, ssrc0 = unwrap(inst._values.get('sdst', 0)), unwrap(inst._values.get('ssrc0', 0))
if op_name == 's_getpc_b64': return f"{op_name} {_fmt_sdst(sdst, 2)}"
if op_name in ('s_setpc_b64', 's_rfe_b64'): return f"{op_name} {_fmt_ssrc(ssrc0, 2)}"
if op_name == 's_swappc_b64': return f"{op_name} {_fmt_sdst(sdst, 2)}, {_fmt_ssrc(ssrc0, 2)}"
if op_name in ('s_sendmsg_rtn_b32', 's_sendmsg_rtn_b64'):
return f"{op_name} {_fmt_sdst(sdst, 2 if 'b64' in op_name else 1)}, sendmsg({MSG_NAMES.get(ssrc0, str(ssrc0))})"
ssrc0_str = fmt_src(ssrc0) if src0_cnt == 1 else _fmt_ssrc(ssrc0, src0_cnt)
return f"{op_name} {_fmt_sdst(sdst, dst_cnt)}, {ssrc0_str}"
if cls_name == 'SOP2':
sdst, ssrc0, ssrc1 = [unwrap(inst._values.get(f, 0)) for f in ('sdst', 'ssrc0', 'ssrc1')]
ssrc0_str = fmt_src(ssrc0) if ssrc0 == 255 else _fmt_ssrc(ssrc0, src0_cnt)
ssrc1_str = fmt_src(ssrc1) if ssrc1 == 255 else _fmt_ssrc(ssrc1, src1_cnt)
return f"{op_name} {_fmt_sdst(sdst, dst_cnt)}, {ssrc0_str}, {ssrc1_str}"
if cls_name == 'SOPC':
return f"{op_name} {_fmt_ssrc(unwrap(inst._values.get('ssrc0', 0)), src0_cnt)}, {_fmt_ssrc(unwrap(inst._values.get('ssrc1', 0)), src1_cnt)}"
if cls_name == 'SOPK':
sdst, simm16 = unwrap(inst._values.get('sdst', 0)), unwrap(inst._values.get('simm16', 0))
if op_name == 's_version': return f"{op_name} 0x{simm16:x}"
if op_name in ('s_setreg_b32', 's_getreg_b32'):
hwreg_id, hwreg_offset, hwreg_size = simm16 & 0x3f, (simm16 >> 6) & 0x1f, ((simm16 >> 11) & 0x1f) + 1
hwreg_str = f"0x{simm16:x}" if hwreg_id in (16, 17) else f"hwreg({HWREG_NAMES.get(hwreg_id, str(hwreg_id))}, {hwreg_offset}, {hwreg_size})"
return f"{op_name} {hwreg_str}, {_fmt_sdst(sdst, 1)}" if op_name == 's_setreg_b32' else f"{op_name} {_fmt_sdst(sdst, 1)}, {hwreg_str}"
return f"{op_name} {_fmt_sdst(sdst, dst_cnt)}, 0x{simm16:x}"
# Generic fallback
def fmt_field(n, v):
v = unwrap(v)
if n in SRC_FIELDS: return fmt_src(v) if v != 255 else "0xff"
if n in ('sdst', 'vdst'): return f"{'s' if n == 'sdst' else 'v'}{v}"
return f"v{v}" if n == 'vsrc1' else f"0x{v:x}" if n == 'simm16' else str(v)
ops = [fmt_field(n, inst._values.get(n, 0)) for n in inst._fields if n not in ('encoding', 'op')]
return f"{op_name} {', '.join(ops)}" if ops else op_name
# Assembler
SPECIAL_REGS = {'vcc_lo': RawImm(106), 'vcc_hi': RawImm(107), 'vcc': RawImm(106), 'null': RawImm(124), 'off': RawImm(124), 'm0': RawImm(125),
'exec_lo': RawImm(126), 'exec_hi': RawImm(127), 'exec': RawImm(126), 'scc': RawImm(253), 'src_scc': RawImm(253)}
FLOAT_CONSTS = {'0.5': 0.5, '-0.5': -0.5, '1.0': 1.0, '-1.0': -1.0, '2.0': 2.0, '-2.0': -2.0, '4.0': 4.0, '-4.0': -4.0}
REG_MAP: dict[str, _RegFactory] = {'s': s, 'v': v, 't': ttmp, 'ttmp': ttmp}
def parse_operand(op: str) -> tuple:
op = op.strip().lower()
neg = op.startswith('-') and not op[1:2].isdigit(); op = op[1:] if neg else op
abs_ = op.startswith('|') and op.endswith('|') or op.startswith('abs(') and op.endswith(')')
op = op[1:-1] if op.startswith('|') else op[4:-1] if op.startswith('abs(') else op
hi_half = op.endswith('.h')
op = re.sub(r'\.[lh]$', '', op)
if op in FLOAT_CONSTS: return (FLOAT_CONSTS[op], neg, abs_, hi_half)
if re.match(r'^-?\d+$', op): return (int(op), neg, abs_, hi_half)
if m := re.match(r'^-?0x([0-9a-f]+)$', op):
v = -int(m.group(1), 16) if op.startswith('-') else int(m.group(1), 16)
return (v, neg, abs_, hi_half)
if op in SPECIAL_REGS: return (SPECIAL_REGS[op], neg, abs_, hi_half)
if op == 'lit': return (RawImm(255), neg, abs_, hi_half) # literal marker (actual value comes from literal word)
if m := re.match(r'^([svt](?:tmp)?)\[(\d+):(\d+)\]$', op): return (REG_MAP[m.group(1)][int(m.group(2)):int(m.group(3))], neg, abs_, hi_half)
if m := re.match(r'^([svt](?:tmp)?)(\d+)$', op):
reg = REG_MAP[m.group(1)][int(m.group(2))]
reg.hi = hi_half
return (reg, neg, abs_, hi_half)
# hwreg(name, offset, size) or hwreg(name) -> simm16 encoding
if m := re.match(r'^hwreg\((\w+)(?:,\s*(\d+),\s*(\d+))?\)$', op):
name_str = m.group(1).lower()
hwreg_id = HWREG_IDS.get(name_str, int(name_str) if name_str.isdigit() else None)
if hwreg_id is None: raise ValueError(f"unknown hwreg name: {name_str}")
offset, size = int(m.group(2)) if m.group(2) else 0, int(m.group(3)) if m.group(3) else 32
return (((size - 1) << 11) | (offset << 6) | hwreg_id, neg, abs_, hi_half)
raise ValueError(f"cannot parse operand: {op}")
SMEM_OPS = {'s_load_b32', 's_load_b64', 's_load_b128', 's_load_b256', 's_load_b512',
's_buffer_load_b32', 's_buffer_load_b64', 's_buffer_load_b128', 's_buffer_load_b256', 's_buffer_load_b512'}
SOP1_SRC_ONLY = {'s_setpc_b64', 's_rfe_b64'}
SOP1_MSG_IMM = {'s_sendmsg_rtn_b32', 's_sendmsg_rtn_b64'}
SOPK_IMM_ONLY = {'s_version'}
SOPK_IMM_FIRST = {'s_setreg_b32'}
SOPK_UNSUPPORTED = {'s_setreg_imm32_b32'}
def _operand_to_dsl(op: str) -> str:
"""Transform a single operand from LLVM assembly syntax to DSL expression string."""
op = op.strip()
# Handle negation prefix
neg = False
if op.startswith('-') and not (op[1:2].isdigit() or (len(op) > 2 and op[1] == '0' and op[2] in 'xX')):
neg, op = True, op[1:]
# Handle abs modifier: |x| or abs(x)
abs_ = False
if op.startswith('|') and op.endswith('|'):
abs_, op = True, op[1:-1]
elif op.startswith('abs(') and op.endswith(')'):
abs_, op = True, op[4:-1]
# Handle .h/.l suffix for 16-bit ops
hi_suffix = ""
if op.endswith('.h'): hi_suffix, op = ".h", op[:-2]
elif op.endswith('.l'): hi_suffix, op = ".l", op[:-2]
op_lower = op.lower()
# Helper to apply modifiers
def apply_mods(base: str) -> str:
if not neg and not abs_: return f"{base}{hi_suffix}"
if abs_: return f"{'-' if neg else ''}abs({base}){hi_suffix}"
return f"-{base}{hi_suffix}"
# Special registers - vcc maps to VCC_LO (64-bit alias)
special_map = {'vcc_lo': 'VCC_LO', 'vcc_hi': 'VCC_HI', 'vcc': 'VCC_LO', 'null': 'NULL', 'off': 'OFF',
'm0': 'M0', 'exec_lo': 'EXEC_LO', 'exec_hi': 'EXEC_HI', 'exec': 'EXEC_LO', 'scc': 'SCC',
'src_scc': 'SCC'}
if op_lower in special_map: return apply_mods(special_map[op_lower])
# Float constants
float_map = {'0.5': '0.5', '-0.5': '-0.5', '1.0': '1.0', '-1.0': '-1.0', '2.0': '2.0', '-2.0': '-2.0', '4.0': '4.0', '-4.0': '-4.0'}
if op in float_map: return apply_mods(float_map[op])
# Register range: v[0:3], s[4:7]
if m := re.match(r'^([svt](?:tmp)?)\[(\d+):(\d+)\]$', op_lower):
prefix = {'s': 's', 'v': 'v', 't': 'ttmp', 'ttmp': 'ttmp'}[m.group(1)]
return apply_mods(f"{prefix}[{m.group(2)}:{m.group(3)}]")
# Single register: v0, s1, ttmp5
if m := re.match(r'^([svt](?:tmp)?)(\d+)$', op_lower):
prefix = {'s': 's', 'v': 'v', 't': 'ttmp', 'ttmp': 'ttmp'}[m.group(1)]
return apply_mods(f"{prefix}[{m.group(2)}]")
# Integer literals (decimal or hex) - use SrcMod wrapper when modifiers present
if re.match(r'^-?\d+$', op) or re.match(r'^-?0x([0-9a-fA-F]+)$', op):
if neg or abs_:
return f"SrcMod({op}, neg={neg}, abs_={abs_})"
return op
# hwreg(name, offset, size) -> pass through
if op_lower.startswith('hwreg('): return apply_mods(op)
# sendmsg(...) -> pass through
if op_lower.startswith('sendmsg('): return apply_mods(op)
# Fallback: return as-is
return apply_mods(op)
def _parse_operands(op_str: str) -> list[str]:
"""Parse comma-separated operands, respecting brackets and pipes."""
operands, current, depth, in_pipe = [], "", 0, False
for ch in op_str:
if ch in '[(': depth += 1
elif ch in '])': depth -= 1
elif ch == '|': in_pipe = not in_pipe
if ch == ',' and depth == 0 and not in_pipe:
operands.append(current.strip())
current = ""
else:
current += ch
if current.strip(): operands.append(current.strip())
return operands
def _unwrap_dsl(s: str) -> str:
"""Unwrap a DSL expression to get the raw value for literals."""
if re.match(r'^-?\d+$', s): return s
if re.match(r'^-?0x[0-9a-fA-F]+$', s): return s
return s
def get_dsl(text: str) -> str:
"""Transform LLVM-style assembly instruction to Python DSL expression string."""
text = text.strip()
# Extract and remove trailing modifiers (must happen before operand parsing)
kwargs = []
# Extract mul:N and div:N modifiers (omod)
omod_val = 0
if m := re.search(r'\s+mul:2(?:\s|$)', text, re.I):
omod_val = 1; text = text[:m.start()] + text[m.end():]
elif m := re.search(r'\s+mul:4(?:\s|$)', text, re.I):
omod_val = 2; text = text[:m.start()] + text[m.end():]
elif m := re.search(r'\s+div:2(?:\s|$)', text, re.I):
omod_val = 3; text = text[:m.start()] + text[m.end():]
if omod_val: kwargs.append(f'omod={omod_val}')
# Extract clamp modifier
if m := re.search(r'\s+clamp(?:\s|$)', text, re.I):
kwargs.append('clmp=1')
text = text[:m.start()] + text[m.end():]
# Extract op_sel:[...] modifier - interpretation depends on format:
# VOP3: [src0, src1, dst] or [src0, src1, src2, dst] -> bits 0, 1, (2), 3
# VOP3P/WMMA: [src0, src1, src2] -> bits 0, 1, 2 (no dst bit, 3-source ops)
opsel_explicit = None
if m := re.search(r'\s+op_sel:\[([^\]]+)\]', text, re.I):
bits = [int(x.strip()) for x in m.group(1).split(',')]
# Check if this is a VOP3P instruction (v_pk_*, v_wmma_*, v_dot*)
mnemonic = text.split()[0].lower()
is_vop3p = mnemonic.startswith(('v_pk_', 'v_wmma_', 'v_dot'))
if len(bits) == 3:
if is_vop3p:
# VOP3P: [src0, src1, src2] -> bits 0, 1, 2
opsel_explicit = bits[0] | (bits[1] << 1) | (bits[2] << 2)
else:
# VOP3: [src0, src1, dst] -> bits 0, 1, 3
opsel_explicit = bits[0] | (bits[1] << 1) | (bits[2] << 3)
else:
opsel_explicit = sum(b << i for i, b in enumerate(bits))
text = text[:m.start()] + text[m.end():]
if m := re.search(r'\s+wait_exp:(\d+)', text, re.I):
kwargs.append(f'waitexp={m.group(1)}')
text = text[:m.start()] + text[m.end():]
# Extract offset:N for FLAT/GLOBAL/SCRATCH/SMEM (can be hex or decimal)
offset_val = None
if m := re.search(r'\s+offset:(0x[0-9a-fA-F]+|-?\d+)', text, re.I):
offset_val = m.group(1)
text = text[:m.start()] + text[m.end():]
# Extract dlc modifier (before glc to avoid partial match issues)
dlc_val = None
if m := re.search(r'\s+dlc(?:\s|$)', text, re.I):
dlc_val = 1
text = text[:m.start()] + text[m.end():]
# Extract glc modifier
glc_val = None
if m := re.search(r'\s+glc(?:\s|$)', text, re.I):
glc_val = 1
text = text[:m.start()] + text[m.end():]
# Extract neg_lo:[...] and neg_hi:[...] for VOP3P
neg_lo_val = None
if m := re.search(r'\s+neg_lo:\[([^\]]+)\]', text, re.I):
bits = [int(x.strip()) for x in m.group(1).split(',')]
neg_lo_val = sum(b << i for i, b in enumerate(bits))
text = text[:m.start()] + text[m.end():]
neg_hi_val = None
if m := re.search(r'\s+neg_hi:\[([^\]]+)\]', text, re.I):
bits = [int(x.strip()) for x in m.group(1).split(',')]
neg_hi_val = sum(b << i for i, b in enumerate(bits))
text = text[:m.start()] + text[m.end():]
parts = text.replace(',', ' ').split()
if not parts: raise ValueError("empty instruction")
mnemonic, op_str = parts[0].lower(), text[len(parts[0]):].strip()
# Handle s_waitcnt specially
if mnemonic == 's_waitcnt':
vmcnt, expcnt, lgkmcnt = 0x3f, 0x7, 0x3f
for part in op_str.replace(',', ' ').split():
if m := re.match(r'vmcnt\((\d+)\)', part): vmcnt = int(m.group(1))
elif m := re.match(r'expcnt\((\d+)\)', part): expcnt = int(m.group(1))
elif m := re.match(r'lgkmcnt\((\d+)\)', part): lgkmcnt = int(m.group(1))
elif re.match(r'^0x[0-9a-f]+$|^\d+$', part): return f"s_waitcnt(simm16={int(part, 0)})"
wc = waitcnt(vmcnt, expcnt, lgkmcnt)
return f"s_waitcnt(simm16={wc})"
# Handle VOPD dual-issue: opx dst, src :: opy dst, src
if '::' in text:
x_part, y_part = text.split('::')
x_parts, y_parts = x_part.strip().replace(',', ' ').split(), y_part.strip().replace(',', ' ').split()
opx_name, opy_name = x_parts[0].upper(), y_parts[0].upper()
x_ops = [_operand_to_dsl(p) for p in x_parts[1:]]
y_ops = [_operand_to_dsl(p) for p in y_parts[1:]]
vdstx, srcx0 = x_ops[0], x_ops[1] if len(x_ops) > 1 else '0'
vsrcx1 = x_ops[2] if len(x_ops) > 2 else 'v[0]'
vdsty, srcy0 = y_ops[0], y_ops[1] if len(y_ops) > 1 else '0'
vsrcy1 = y_ops[2] if len(y_ops) > 2 else 'v[0]'
lit = None
if 'fmaak' in opx_name.lower() and len(x_ops) > 3: lit = x_ops[3]
elif 'fmamk' in opx_name.lower() and len(x_ops) > 3: lit, vsrcx1 = x_ops[2], x_ops[3]
elif 'fmaak' in opy_name.lower() and len(y_ops) > 3: lit = y_ops[3]
elif 'fmamk' in opy_name.lower() and len(y_ops) > 3: lit, vsrcy1 = y_ops[2], y_ops[3]
lit_str = f", literal={lit}" if lit else ""
return f"VOPD(VOPDOp.{opx_name}, VOPDOp.{opy_name}, vdstx={vdstx}, vdsty={vdsty}, srcx0={srcx0}, vsrcx1={vsrcx1}, srcy0={srcy0}, vsrcy1={vsrcy1}{lit_str})"
operands = _parse_operands(op_str)
dsl_args = [_operand_to_dsl(op) for op in operands]
# Handle special instructions
if mnemonic in SOPK_UNSUPPORTED: raise ValueError(f"unsupported instruction: {mnemonic}")
if mnemonic in SOP1_SRC_ONLY: return f"{mnemonic}(ssrc0={dsl_args[0]})"
if mnemonic in SOP1_MSG_IMM: return f"{mnemonic}(sdst={dsl_args[0]}, ssrc0=RawImm({_unwrap_dsl(dsl_args[1])}))"
if mnemonic in SOPK_IMM_ONLY: return f"{mnemonic}(simm16={dsl_args[0]})"
if mnemonic in SOPK_IMM_FIRST: return f"{mnemonic}(simm16={dsl_args[0]}, sdst={dsl_args[1]})"
# SMEM with immediate offset (offset in operand[2] or offset: modifier)
if mnemonic in SMEM_OPS:
glc_str = ", glc=1" if glc_val else ""
dlc_str = ", dlc=1" if dlc_val else ""
# Pure immediate offset in operand[2]
if len(operands) >= 3 and re.match(r'^-?[0-9]|^-?0x', operands[2].strip().lower()):
return f"{mnemonic}(sdata={dsl_args[0]}, sbase={dsl_args[1]}, offset={dsl_args[2]}, soffset=RawImm(124){glc_str}{dlc_str})"
# Register soffset with offset: modifier
if offset_val and len(operands) >= 3:
return f"{mnemonic}(sdata={dsl_args[0]}, sbase={dsl_args[1]}, offset={offset_val}, soffset={dsl_args[2]}{glc_str}{dlc_str})"
# Register soffset only (no offset modifier)
if len(operands) >= 3:
return f"{mnemonic}(sdata={dsl_args[0]}, sbase={dsl_args[1]}, soffset={dsl_args[2]}{glc_str}{dlc_str})"
# Buffer ops with 'off'
if mnemonic.startswith('buffer_') and len(operands) >= 2 and operands[1].strip().lower() == 'off':
soff = f"RawImm({_unwrap_dsl(dsl_args[3])})" if len(dsl_args) > 3 else "RawImm(0)"
return f"{mnemonic}(vdata={dsl_args[0]}, vaddr=0, srsrc={dsl_args[2]}, soffset={soff})"
# FLAT/GLOBAL/SCRATCH load
if (mnemonic.startswith('flat_load') or mnemonic.startswith('global_load') or mnemonic.startswith('scratch_load')) and len(dsl_args) >= 3:
off = f", offset={offset_val}" if offset_val else ""
return f"{mnemonic}(vdst={dsl_args[0]}, addr={dsl_args[1]}, saddr={dsl_args[2]}{off})"
# FLAT/GLOBAL/SCRATCH store
if (mnemonic.startswith('flat_store') or mnemonic.startswith('global_store') or mnemonic.startswith('scratch_store')) and len(dsl_args) >= 3:
off = f", offset={offset_val}" if offset_val else ""
return f"{mnemonic}(addr={dsl_args[0]}, data={dsl_args[1]}, saddr={dsl_args[2]}{off})"
# Handle v_fmaak/v_fmamk literals
lit_str = ""
if mnemonic in ('v_fmaak_f32', 'v_fmaak_f16') and len(dsl_args) == 4:
lit_str, dsl_args = f", literal={_unwrap_dsl(dsl_args[3])}", dsl_args[:3]
elif mnemonic in ('v_fmamk_f32', 'v_fmamk_f16') and len(dsl_args) == 4:
lit_str, dsl_args = f", literal={_unwrap_dsl(dsl_args[2])}", [dsl_args[0], dsl_args[1], dsl_args[3]]
# Handle v_add_co_ci_u32_e32 etc with vcc operands - strip implicit vcc sdst and carry_in, add _e32 suffix
vcc_ops = {'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'}
if mnemonic.replace('_e32', '') in vcc_ops and len(dsl_args) >= 5:
mnemonic = mnemonic.replace('_e32', '') + '_e32' # Ensure _e32 suffix for VOP2 encoding
dsl_args = [dsl_args[0], dsl_args[2], dsl_args[3]]
# v_cmp_*_e32: strip implicit vcc_lo dest
if mnemonic.startswith('v_cmp') and not mnemonic.endswith('_e64') and len(dsl_args) >= 3 and operands[0].strip().lower() in ('vcc_lo', 'vcc_hi', 'vcc'):
dsl_args = dsl_args[1:]
# CMPX with _e64: prepend implicit EXEC_LO (vdst=126)
if 'cmpx' in mnemonic and mnemonic.endswith('_e64') and len(dsl_args) == 2:
dsl_args = ['RawImm(126)'] + dsl_args
# Build the function name - use mnemonic as-is, replacing . with _
func_name = mnemonic.replace('.', '_')
# When explicit opsel is given, strip .h/.l from register args (opsel overrides)
if opsel_explicit is not None:
dsl_args = [re.sub(r'\.[hl]$', '', a) for a in dsl_args]
args_str = ', '.join(dsl_args)
all_kwargs = list(kwargs)
if lit_str: all_kwargs.append(lit_str.lstrip(', '))
if opsel_explicit is not None: all_kwargs.append(f'opsel={opsel_explicit}')
if neg_lo_val is not None: all_kwargs.append(f'neg={neg_lo_val}')
if neg_hi_val is not None: all_kwargs.append(f'neg_hi={neg_hi_val}')
kwargs_str = ', '.join(all_kwargs)
if kwargs_str:
return f"{func_name}({args_str}, {kwargs_str})" if args_str else f"{func_name}({kwargs_str})"
return f"{func_name}({args_str})"
def asm(text: str) -> Inst:
"""Assemble LLVM-style instruction text to Inst by transforming to DSL and eval."""
from extra.assembly.amd.autogen import rdna3 as autogen
dsl_expr = get_dsl(text)
namespace = {name: getattr(autogen, name) for name in dir(autogen) if not name.startswith('_')}
namespace.update({'s': s, 'v': v, 'ttmp': ttmp, 'abs': abs, 'RawImm': RawImm, 'SrcMod': SrcMod, 'VGPR': VGPR, 'SGPR': SGPR, 'TTMP': TTMP,
'VCC_LO': VCC_LO, 'VCC_HI': VCC_HI, 'VCC': VCC, 'EXEC_LO': EXEC_LO, 'EXEC_HI': EXEC_HI, 'EXEC': EXEC,
'SCC': SCC, 'M0': M0, 'NULL': NULL, 'OFF': OFF})
try:
return eval(dsl_expr, namespace)
except NameError:
# Try with _e32 suffix for VOP1/VOP2/VOPC (only for v_* instructions)
if m := re.match(r'^(v_\w+)(\(.*\))$', dsl_expr):
return eval(f"{m.group(1)}_e32{m.group(2)}", namespace)
raise
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# library for RDNA3 assembly DSL
# mypy: ignore-errors
from __future__ import annotations
from enum import IntEnum
from typing import overload, Annotated, TypeVar, Generic
# Bit field DSL
class BitField:
def __init__(self, hi: int, lo: int, name: str | None = None): self.hi, self.lo, self.name = hi, lo, name
def __set_name__(self, owner, name): self.name, self._owner = name, owner
def __eq__(self, val: int) -> tuple[BitField, int]: return (self, val) # type: ignore
def mask(self) -> int: return (1 << (self.hi - self.lo + 1)) - 1
@property
def marker(self) -> type | None:
# Get marker from Annotated type hint if present
import typing
if hasattr(self, '_owner') and self.name:
hints = typing.get_type_hints(self._owner, include_extras=True)
if self.name in hints:
hint = hints[self.name]
if typing.get_origin(hint) is Annotated:
args = typing.get_args(hint)
return args[1] if len(args) > 1 else None
return None
@overload
def __get__(self, obj: None, objtype: type) -> BitField: ...
@overload
def __get__(self, obj: object, objtype: type | None = None) -> int: ...
def __get__(self, obj, objtype=None):
if obj is None: return self
val = unwrap(obj._values.get(self.name, 0))
# Convert to IntEnum if marker is an IntEnum subclass
if self.marker and isinstance(self.marker, type) and issubclass(self.marker, IntEnum):
try: return self.marker(val)
except ValueError: pass
return val
class _Bits:
def __getitem__(self, key) -> BitField: return BitField(key.start, key.stop) if isinstance(key, slice) else BitField(key, key)
bits = _Bits()
# Source operand with modifiers - base class for anything that can be a src with neg/abs
class SrcMod:
__slots__ = ('val', 'neg', 'abs_')
def __init__(self, val: int, neg: bool = False, abs_: bool = False): self.val, self.neg, self.abs_ = val, neg, abs_
def __repr__(self): return f"{'-' if self.neg else ''}{'|' if self.abs_ else ''}{self.val}{'|' if self.abs_ else ''}"
def __neg__(self): return SrcMod(self.val, not self.neg, self.abs_)
def __abs__(self): return SrcMod(self.val, self.neg, True)
# Register types
class Reg(SrcMod):
__slots__ = ('idx', 'count', 'hi')
def __init__(self, idx: int, count: int = 1, hi: bool = False, neg: bool = False, abs_: bool = False):
self.idx, self.count, self.hi = idx, count, hi
super().__init__(idx, neg, abs_)
def __repr__(self): return f"{self.__class__.__name__.lower()[0]}[{self.idx}]" if self.count == 1 else f"{self.__class__.__name__.lower()[0]}[{self.idx}:{self.idx + self.count}]"
def __neg__(self): return self.__class__(self.idx, self.count, self.hi, not self.neg, self.abs_)
def __abs__(self): return self.__class__(self.idx, self.count, self.hi, self.neg, True)
@property
def l(self): return self.__class__(self.idx, self.count, False, self.neg, self.abs_)
@property
def h(self): return self.__class__(self.idx, self.count, True, self.neg, self.abs_)
T = TypeVar('T', bound=Reg)
class _RegFactory(Generic[T]):
def __init__(self, cls: type[T], name: str): self._cls, self._name = cls, name
@overload
def __getitem__(self, key: int) -> Reg: ...
@overload
def __getitem__(self, key: slice) -> Reg: ...
def __getitem__(self, key: int | slice) -> Reg:
return self._cls(key.start, key.stop - key.start + 1) if isinstance(key, slice) else self._cls(key)
def __repr__(self): return f"<{self._name} factory>"
class SGPR(Reg): pass
class VGPR(Reg): pass
class TTMP(Reg): pass
s: _RegFactory[SGPR] = _RegFactory(SGPR, "SGPR")
v: _RegFactory[VGPR] = _RegFactory(VGPR, "VGPR")
ttmp: _RegFactory[TTMP] = _RegFactory(TTMP, "TTMP")
# Special registers as SrcMod objects (support -VCC_LO, abs(EXEC_LO), etc.)
VCC_LO, VCC_HI, VCC = SrcMod(106), SrcMod(107), SrcMod(106)
EXEC_LO, EXEC_HI, EXEC = SrcMod(126), SrcMod(127), SrcMod(126)
SCC, M0, NULL, OFF = SrcMod(253), SrcMod(125), SrcMod(124), SrcMod(124)
# Field type markers (runtime classes for validation)
class _SSrc: pass
class _Src: pass
class _Imm: pass
class _SImm: pass
class _VDSTYEnc: pass # VOPD vdsty: encoded = actual >> 1, actual = (encoded << 1) | ((vdstx & 1) ^ 1)
class _SGPRField: pass
class _VGPRField: pass
# Type aliases for annotations - tells mypy it's a BitField while preserving marker info
SSrc = Annotated[BitField, _SSrc]
Src = Annotated[BitField, _Src]
Imm = Annotated[BitField, _Imm]
SImm = Annotated[BitField, _SImm]
VDSTYEnc = Annotated[BitField, _VDSTYEnc]
SGPRField = Annotated[BitField, _SGPRField]
VGPRField = Annotated[BitField, _VGPRField]
class RawImm:
def __init__(self, val: int): self.val = val
def __repr__(self): return f"RawImm({self.val})"
def __eq__(self, other): return isinstance(other, RawImm) and self.val == other.val
def unwrap(val) -> int:
if isinstance(val, RawImm): return val.val
if isinstance(val, SrcMod) and not isinstance(val, Reg): return val.val # Special registers like VCC_LO, NULL
if hasattr(val, 'value'): return val.value # IntEnum
if hasattr(val, 'idx'): return val.idx # Reg
return val
# Encoding helpers
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}
SRC_FIELDS = {'src0', 'src1', 'src2', 'ssrc0', 'ssrc1', 'soffset', 'srcx0', 'srcy0'}
RAW_FIELDS = {'vdata', 'vdst', 'vaddr', 'addr', 'data', 'data0', 'data1', 'sdst', 'sdata', 'vsrc1'}
def _encode_reg(val: Reg) -> int:
if isinstance(val, TTMP): return 108 + val.idx
return val.idx # hi bit is handled via opsel, not in register encoding
def encode_src(val) -> int:
if isinstance(val, VGPR): return 256 + _encode_reg(val)
if isinstance(val, Reg): return _encode_reg(val)
if isinstance(val, SrcMod) and not isinstance(val, Reg):
# SrcMod wraps either special registers (VCC_LO=106, EXEC_LO=126, etc.) or literals
# Special register values are in valid encoding ranges - return as-is
# Literals (large integers) need 255 marker
v = val.val
# Valid source encoding ranges: 0-127 (SGPRs/special), 128-192 (inline const), 193-208 (neg inline), 240-247 (float), 251-253 (special)
if 0 <= v <= 127 or 240 <= v <= 255: return v # SGPRs, special regs, float constants
if 128 <= v <= 192: return v # Inline positive constants (0-64)
if 193 <= v <= 208: return v # Inline negative constants (-1 to -16)
return 255 # Literal marker - value stored separately
if hasattr(val, 'value'): return val.value # IntEnum
if isinstance(val, float): return 128 if val == 0.0 else FLOAT_ENC.get(val, 255)
return 128 + val if isinstance(val, int) and 0 <= val <= 64 else 192 + (-val) if isinstance(val, int) and -16 <= val <= -1 else 255
# Instruction base class
class Inst:
_fields: dict[str, BitField]
_encoding: tuple[BitField, int] | None = None
_defaults: dict[str, int] = {}
_values: dict[str, int | RawImm]
_words: int # size in 32-bit words, set by decode_program
_literal: int | None
def __init_subclass__(cls, **kwargs):
super().__init_subclass__(**kwargs)
cls._fields = {n: v[0] if isinstance(v, tuple) else v for n, v in cls.__dict__.items() if isinstance(v, BitField) or (isinstance(v, tuple) and len(v) == 2 and isinstance(v[0], BitField))}
if 'encoding' in cls._fields and isinstance(cls.__dict__.get('encoding'), tuple): cls._encoding = cls.__dict__['encoding']
def __init__(self, *args, literal: int | None = None, **kwargs):
self._values, self._literal = dict(self._defaults), literal
# Map positional args to field names
field_names = [n for n in self._fields if n != 'encoding']
orig_args = dict(zip(field_names, args))
orig_args.update(kwargs)
self._values.update(orig_args)
# Validate register counts for SMEM instructions (before encoding)
if self.__class__.__name__ == 'SMEM':
op_val = orig_args.get(field_names[0]) if args else orig_args.get('op')
if op_val is not None:
if hasattr(op_val, 'value'): op_val = op_val.value
expected_cnt = {0:1, 1:2, 2:4, 3:8, 4:16, 8:1, 9:2, 10:4, 11:8, 12:16}.get(op_val)
sdata_val = orig_args.get('sdata')
if expected_cnt is not None and isinstance(sdata_val, Reg) and sdata_val.count != expected_cnt:
raise ValueError(f"SMEM op {op_val} expects {expected_cnt} registers, got {sdata_val.count}")
# Validate register counts for SOP1 instructions (b32 = 1 reg, b64 = 2 regs)
if self.__class__.__name__ == 'SOP1':
op_val = orig_args.get(field_names[0]) if args else orig_args.get('op')
if op_val is not None and hasattr(op_val, 'name'):
expected = 2 if op_val.name.endswith('_B64') else 1
sdst_val, ssrc0_val = orig_args.get('sdst'), orig_args.get('ssrc0')
if isinstance(sdst_val, Reg) and sdst_val.count != expected:
raise ValueError(f"SOP1 {op_val.name} expects {expected} destination register(s), got {sdst_val.count}")
if isinstance(ssrc0_val, Reg) and ssrc0_val.count != expected:
raise ValueError(f"SOP1 {op_val.name} expects {expected} source register(s), got {ssrc0_val.count}")
# Type check and encode values
for name, val in list(self._values.items()):
if name == 'encoding': continue
# For RawImm, only process RAW_FIELDS to unwrap to int
if isinstance(val, RawImm):
if name in RAW_FIELDS: self._values[name] = val.val
continue
field = self._fields.get(name)
marker = field.marker if field else None
# Type validation
if marker is _SGPRField:
if isinstance(val, VGPR): raise TypeError(f"field '{name}' requires SGPR, got VGPR")
if not isinstance(val, (SGPR, TTMP, SrcMod, int, RawImm)): raise TypeError(f"field '{name}' requires SGPR, got {type(val).__name__}")
if marker is _VGPRField:
if not isinstance(val, VGPR): raise TypeError(f"field '{name}' requires VGPR, got {type(val).__name__}")
if marker is _SSrc and isinstance(val, VGPR): raise TypeError(f"field '{name}' requires scalar source, got VGPR")
# Encode source fields as RawImm for consistent disassembly
if name in SRC_FIELDS:
encoded = encode_src(val)
# For VOP1/VOP2/VOPC (no opsel field), encode hi bit in src value
if isinstance(val, Reg) and val.hi and 'opsel' not in self._fields:
encoded |= 0x80
self._values[name] = RawImm(encoded)
# Handle neg/abs/opsel modifiers for VOP3 instructions
if isinstance(val, SrcMod):
if val.neg and 'neg' in self._fields:
neg_bit = {'src0': 1, 'src1': 2, 'src2': 4}.get(name, 0)
cur_neg = self._values.get('neg', 0)
self._values['neg'] = (cur_neg.val if isinstance(cur_neg, RawImm) else cur_neg) | neg_bit
if val.abs_ and 'abs' in self._fields:
abs_bit = {'src0': 1, 'src1': 2, 'src2': 4}.get(name, 0)
cur_abs = self._values.get('abs', 0)
self._values['abs'] = (cur_abs.val if isinstance(cur_abs, RawImm) else cur_abs) | abs_bit
# Handle hi (opsel) for 16-bit ops - only for formats with opsel field
if isinstance(val, Reg) and val.hi and 'opsel' in self._fields:
opsel_bit = {'src0': 1, 'src1': 2, 'src2': 4}.get(name, 0)
cur_opsel = self._values.get('opsel', 0)
self._values['opsel'] = (cur_opsel.val if isinstance(cur_opsel, RawImm) else cur_opsel) | opsel_bit
# Track literal value if needed (encoded as 255)
# For 64-bit ops, store literal in high 32 bits (to match from_bytes decoding and to_bytes encoding)
if encoded == 255 and self._literal is None:
if isinstance(val, SrcMod) and not isinstance(val, Reg):
# SrcMod wrapping a literal value
self._literal = (val.val << 32) if self._is_64bit_op() else val.val
elif isinstance(val, int) and not isinstance(val, IntEnum):
self._literal = (val << 32) if self._is_64bit_op() else val
elif isinstance(val, float):
import struct
lit32 = struct.unpack('<I', struct.pack('<f', val))[0]
self._literal = (lit32 << 32) if self._is_64bit_op() else lit32
# Encode raw register fields for consistent repr
elif name in RAW_FIELDS:
if isinstance(val, Reg):
encoded = _encode_reg(val)
# For VOP1/VOP2/VOPC (no opsel field), encode hi bit in register value
if val.hi and 'opsel' not in self._fields:
encoded |= 0x80
self._values[name] = encoded
# Handle vdst hi (opsel bit 3) for 16-bit ops - only for formats with opsel field
if name == 'vdst' and val.hi and 'opsel' in self._fields:
cur_opsel = self._values.get('opsel', 0)
self._values['opsel'] = (cur_opsel.val if isinstance(cur_opsel, RawImm) else cur_opsel) | 8
elif hasattr(val, 'value'): self._values[name] = val.value # IntEnum like SrcEnum.NULL
# Encode sbase (divided by 2) and srsrc/ssamp (divided by 4)
elif name == 'sbase':
if isinstance(val, Reg): self._values[name] = val.idx // 2
elif isinstance(val, SrcMod): self._values[name] = val.val // 2 # Special regs like VCC_LO
elif name in {'srsrc', 'ssamp'} and isinstance(val, Reg):
self._values[name] = val.idx // 4
# VOPD vdsty: encode as actual >> 1 (constraint: vdsty parity must be opposite of vdstx)
elif marker is _VDSTYEnc and isinstance(val, VGPR):
self._values[name] = val.idx >> 1
def _encode_field(self, name: str, val) -> int:
if isinstance(val, RawImm): return val.val
if isinstance(val, SrcMod) and not isinstance(val, Reg): return val.val # Special regs like VCC_LO
if name in {'srsrc', 'ssamp'}: return val.idx // 4 if isinstance(val, Reg) else val
if name == 'sbase': return val.idx // 2 if isinstance(val, Reg) else val.val // 2 if isinstance(val, SrcMod) else val
if name in RAW_FIELDS: return _encode_reg(val) if isinstance(val, Reg) else val
if isinstance(val, Reg) or name in SRC_FIELDS: return encode_src(val)
return val.value if hasattr(val, 'value') else val
def to_int(self) -> int:
word = (self._encoding[1] & self._encoding[0].mask()) << self._encoding[0].lo if self._encoding else 0
for n, bf in self._fields.items():
if n != 'encoding' and n in self._values: word |= (self._encode_field(n, self._values[n]) & bf.mask()) << bf.lo
return word
def _get_literal(self) -> int | None:
for n in SRC_FIELDS:
if n in self._values and not isinstance(v := self._values[n], RawImm) and isinstance(v, int) and not isinstance(v, IntEnum) and not (0 <= v <= 64 or -16 <= v <= -1): return v
return None
def _is_64bit_op(self) -> bool:
"""Check if this instruction uses 64-bit operands (and thus 64-bit literals).
Exception: V_LDEXP_F64 has 32-bit integer src1, so its literal is 32-bit."""
op = self._values.get('op')
if op is None: return False
# op may be an enum (from __init__) or an int (from from_int)
op_name = op.name if hasattr(op, 'name') else None
if op_name is None and self.__class__.__name__ == 'VOP3':
from extra.assembly.amd.autogen.rdna3 import VOP3Op
try: op_name = VOP3Op(op).name
except ValueError: pass
if op_name is None: return False
# V_LDEXP_F64 has 32-bit integer exponent in src1, so literal is 32-bit
if op_name == 'V_LDEXP_F64': return False
return op_name.endswith(('_F64', '_B64', '_I64', '_U64'))
def to_bytes(self) -> bytes:
result = self.to_int().to_bytes(self._size(), 'little')
lit = self._get_literal() or getattr(self, '_literal', None)
if lit is None: return result
# For 64-bit ops, literal is stored in high 32 bits internally, but encoded as 4 bytes
lit32 = (lit >> 32) if self._is_64bit_op() else lit
return result + (lit32 & 0xffffffff).to_bytes(4, 'little')
@classmethod
def _size(cls) -> int: return 4 if issubclass(cls, Inst32) else 8
def size(self) -> int:
# Literal is always 4 bytes in the binary (for 64-bit ops, it's in high 32 bits)
return self._size() + (4 if self._literal is not None else 0)
@classmethod
def from_int(cls, word: int):
inst = object.__new__(cls)
inst._values = {n: RawImm(v) if n in SRC_FIELDS else v for n, bf in cls._fields.items() if n != 'encoding' for v in [(word >> bf.lo) & bf.mask()]}
inst._literal = None
return inst
@classmethod
def from_bytes(cls, data: bytes):
inst = cls.from_int(int.from_bytes(data[:cls._size()], 'little'))
op_val = inst._values.get('op', 0)
has_literal = cls.__name__ == 'VOP2' and op_val in (44, 45, 55, 56)
has_literal = has_literal or (cls.__name__ == 'SOP2' and op_val in (69, 70))
for n in SRC_FIELDS:
if n in inst._values and isinstance(inst._values[n], RawImm) and inst._values[n].val == 255: has_literal = True
if has_literal:
# For 64-bit ops, the literal is 32 bits placed in the HIGH 32 bits of the 64-bit value
# (low 32 bits are zero). This is how AMD hardware interprets 32-bit literals for 64-bit ops.
if len(data) >= cls._size() + 4:
lit32 = int.from_bytes(data[cls._size():cls._size()+4], 'little')
inst._literal = (lit32 << 32) if inst._is_64bit_op() else lit32
return inst
def __repr__(self):
# Use _fields order and exclude fields that are 0/default (for consistent repr after roundtrip)
def is_zero(v): return (isinstance(v, int) and v == 0) or (isinstance(v, VGPR) and v.idx == 0 and v.count == 1)
items = [(k, self._values[k]) for k in self._fields if k in self._values and k != 'encoding'
and not (is_zero(self._values[k]) and k not in {'op'})]
lit = f", literal={hex(self._literal)}" if self._literal is not None else ""
return f"{self.__class__.__name__}({', '.join(f'{k}={v}' for k, v in items)}{lit})"
def __eq__(self, other):
if not isinstance(other, Inst): return NotImplemented
return self.__class__ == other.__class__ and self._values == other._values and self._literal == other._literal
def __hash__(self): return hash((self.__class__.__name__, tuple(sorted((k, repr(v)) for k, v in self._values.items())), self._literal))
def disasm(self) -> str:
from extra.assembly.amd.asm import disasm
return disasm(self)
class Inst32(Inst): pass
class Inst64(Inst): pass
# ═══════════════════════════════════════════════════════════════════════════════
# CODE GENERATION: generates autogen/__init__.py by parsing AMD ISA PDFs
# Supports both RDNA3.5 and CDNA4 instruction set PDFs - auto-detects format
# ═══════════════════════════════════════════════════════════════════════════════
PDF_URLS = {
"rdna3": "https://docs.amd.com/api/khub/documents/UVVZM22UN7tMUeiW_4ShTQ/content", # RDNA3.5
"rdna4": "https://docs.amd.com/api/khub/documents/uQpkEvk3pv~kfAb2x~j4uw/content",
"cdna": ["https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-mi300-cdna3-instruction-set-architecture.pdf",
"https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-cdna4-instruction-set-architecture.pdf"],
}
FIELD_TYPES = {'SSRC0': 'SSrc', 'SSRC1': 'SSrc', 'SOFFSET': 'SSrc', 'SADDR': 'SSrc', 'SRC0': 'Src', 'SRC1': 'Src', 'SRC2': 'Src',
'SDST': 'SGPRField', 'SBASE': 'SGPRField', 'SDATA': 'SGPRField', 'SRSRC': 'SGPRField', 'VDST': 'VGPRField', 'VSRC1': 'VGPRField', 'VDATA': 'VGPRField',
'VADDR': 'VGPRField', 'ADDR': 'VGPRField', 'DATA': 'VGPRField', 'DATA0': 'VGPRField', 'DATA1': 'VGPRField', 'SIMM16': 'SImm', 'OFFSET': 'Imm',
'OPX': 'VOPDOp', 'OPY': 'VOPDOp', 'SRCX0': 'Src', 'SRCY0': 'Src', 'VSRCX1': 'VGPRField', 'VSRCY1': 'VGPRField', 'VDSTX': 'VGPRField', 'VDSTY': 'VDSTYEnc'}
FIELD_ORDER = {
'SOP2': ['op', 'sdst', 'ssrc0', 'ssrc1'], 'SOP1': ['op', 'sdst', 'ssrc0'], 'SOPC': ['op', 'ssrc0', 'ssrc1'],
'SOPK': ['op', 'sdst', 'simm16'], 'SOPP': ['op', 'simm16'], 'VOP1': ['op', 'vdst', 'src0'], 'VOPC': ['op', 'src0', 'vsrc1'],
'VOP2': ['op', 'vdst', 'src0', 'vsrc1'], 'VOP3SD': ['op', 'vdst', 'sdst', 'src0', 'src1', 'src2', 'clmp'],
'SMEM': ['op', 'sdata', 'sbase', 'soffset', 'offset', 'glc', 'dlc'], 'DS': ['op', 'vdst', 'addr', 'data0', 'data1'],
'VOP3': ['op', 'vdst', 'src0', 'src1', 'src2', 'omod', 'neg', 'abs', 'clmp', 'opsel'],
'VOP3P': ['op', 'vdst', 'src0', 'src1', 'src2', 'neg', 'neg_hi', 'opsel', 'opsel_hi', 'clmp'],
'FLAT': ['op', 'vdst', 'addr', 'data', 'saddr', 'offset', 'seg', 'dlc', 'glc', 'slc'],
'MUBUF': ['op', 'vdata', 'vaddr', 'srsrc', 'soffset', 'offset', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe'],
'MTBUF': ['op', 'vdata', 'vaddr', 'srsrc', 'soffset', 'offset', 'format', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe'],
'MIMG': ['op', 'vdata', 'vaddr', 'srsrc', 'ssamp', 'dmask', 'dim', 'unrm', 'dlc', 'glc', 'slc'],
'EXP': ['en', 'target', 'vsrc0', 'vsrc1', 'vsrc2', 'vsrc3', 'done', 'row'],
'VINTERP': ['op', 'vdst', 'src0', 'src1', 'src2', 'waitexp', 'clmp', 'opsel', 'neg'],
'VOPD': ['opx', 'opy', 'vdstx', 'vdsty', 'srcx0', 'vsrcx1', 'srcy0', 'vsrcy1'],
'LDSDIR': ['op', 'vdst', 'attr', 'attr_chan', 'wait_va']}
SRC_EXTRAS = {233: 'DPP8', 234: 'DPP8FI', 250: 'DPP16', 251: 'VCCZ', 252: 'EXECZ', 254: 'LDS_DIRECT'}
FLOAT_MAP = {'0.5': 'POS_HALF', '-0.5': 'NEG_HALF', '1.0': 'POS_ONE', '-1.0': 'NEG_ONE', '2.0': 'POS_TWO', '-2.0': 'NEG_TWO',
'4.0': 'POS_FOUR', '-4.0': 'NEG_FOUR', '1/(2*PI)': 'INV_2PI', '0': 'ZERO'}
def _parse_bits(s: str) -> tuple[int, int] | None:
import re
return (int(m.group(1)), int(m.group(2) or m.group(1))) if (m := re.match(r'\[(\d+)(?::(\d+))?\]', s)) else None
def _parse_fields_table(table: list, fmt: str, enums: set[str]) -> list[tuple]:
import re
fields = []
for row in table[1:]:
if not row or not row[0]: continue
name, bits_str = row[0].split('\n')[0].strip(), (row[1] or '').split('\n')[0].strip()
if not (bits := _parse_bits(bits_str)): continue
enc_val, hi, lo = None, bits[0], bits[1]
if name == 'ENCODING' and row[2]:
# Handle both RDNA3 ('bXX) and CDNA4 (Must be: XX) encoding formats
if m := re.search(r"(?:'b|Must be:\s*)([01_]+)", row[2]):
enc_bits = m.group(1).replace('_', '')
enc_val = int(enc_bits, 2)
declared_width, actual_width = hi - lo + 1, len(enc_bits)
if actual_width > declared_width: lo = hi - actual_width + 1
ftype = f"{fmt}Op" if name == 'OP' and f"{fmt}Op" in enums else FIELD_TYPES.get(name.upper())
fields.append((name, hi, lo, enc_val, ftype))
return fields
def _parse_single_pdf(url: str) -> dict:
"""Parse a single PDF and return raw data (formats, enums, src_enum, doc_name, is_cdna)."""
import re, pdfplumber
from tinygrad.helpers import fetch
pdf = pdfplumber.open(fetch(url))
# Auto-detect document type from first page
first_page_text = pdf.pages[0].extract_text() or ''
is_cdna4 = 'CDNA4' in first_page_text or 'CDNA 4' in first_page_text
is_cdna3 = 'CDNA3' in first_page_text or 'CDNA 3' in first_page_text or 'MI300' in first_page_text
is_cdna = is_cdna3 or is_cdna4
is_rdna4 = 'RDNA4' in first_page_text or 'RDNA 4' in first_page_text
is_rdna35 = 'RDNA3.5' in first_page_text or 'RDNA 3.5' in first_page_text # Check 3.5 before 3
is_rdna3 = not is_rdna35 and ('RDNA3' in first_page_text or 'RDNA 3' in first_page_text)
doc_name = "CDNA4" if is_cdna4 else "CDNA3" if is_cdna3 else "RDNA4" if is_rdna4 else "RDNA3.5" if is_rdna35 else "RDNA3" if is_rdna3 else "Unknown"
# Find the "Microcode Formats" section - search for SOP2 format definition
microcode_start = None
total_pages = len(pdf.pages)
# Search from likely locations (formats are typically 20-95% through the document - RDNA3 has them at ~25%)
for i in range(int(total_pages * 0.2), total_pages):
text = pdf.pages[i].extract_text() or ''
# Look for "X.Y.Z. SOP2" section header or "Chapter X. Microcode Formats"
if re.search(r'\d+\.\d+\.\d+\.\s+SOP2\b', text) or re.search(r'Chapter \d+\.\s+Microcode Formats', text):
microcode_start = i
break
if microcode_start is None: microcode_start = int(total_pages * 0.9)
pages = pdf.pages[microcode_start:microcode_start + 50]
page_texts = [p.extract_text() or '' for p in pages]
page_tables = [[t.extract() for t in p.find_tables()] for p in pages]
full_text = '\n'.join(page_texts)
# parse SSRC encoding from first page with VCC_LO
src_enum = dict(SRC_EXTRAS)
for text in page_texts[:10]:
if 'SSRC0' in text and 'VCC_LO' in text:
for m in re.finditer(r'^(\d+)\s+(\S+)', text, re.M):
val, name = int(m.group(1)), m.group(2).rstrip('.:')
if name in FLOAT_MAP: src_enum[val] = FLOAT_MAP[name]
elif re.match(r'^[A-Z][A-Z0-9_]*$', name): src_enum[val] = name
break
# parse opcode tables
enums: dict[str, dict[int, str]] = {}
for m in re.finditer(r'Table \d+\. (\w+) Opcodes(.*?)(?=Table \d+\.|\n\d+\.\d+\.\d+\.\s+\w+\s*\nDescription|$)', full_text, re.S):
if ops := {int(x.group(1)): x.group(2) for x in re.finditer(r'(\d+)\s+([A-Z][A-Z0-9_]+)', m.group(2))}:
enums[m.group(1) + "Op"] = ops
if vopd_m := re.search(r'Table \d+\. VOPD Y-Opcodes\n(.*?)(?=Table \d+\.|15\.\d)', full_text, re.S):
if ops := {int(x.group(1)): x.group(2) for x in re.finditer(r'(\d+)\s+(V_DUAL_\w+)', vopd_m.group(1))}:
enums["VOPDOp"] = ops
enum_names = set(enums.keys())
def is_fields_table(t) -> bool: return t and len(t) > 1 and t[0] and 'Field' in str(t[0][0] or '')
def has_encoding(fields) -> bool: return any(f[0] == 'ENCODING' for f in fields)
def has_header_before_fields(text) -> bool:
return (pos := text.find('Field Name')) != -1 and bool(re.search(r'\d+\.\d+\.\d+\.\s+\w+\s*\n', text[:pos]))
# find format headers with their page indices
format_headers = []
for i, text in enumerate(page_texts):
for m in re.finditer(r'\d+\.\d+\.\d+\.\s+(\w+)\s*\n?Description', text): format_headers.append((m.group(1), i, m.start()))
for m in re.finditer(r'\d+\.\d+\.\d+\.\s+(\w+)\s*\n', text):
fmt_name = m.group(1)
if is_cdna and fmt_name.isupper() and len(fmt_name) >= 2:
format_headers.append((fmt_name, i, m.start()))
elif m.start() > len(text) - 200 and 'Description' not in text[m.end():] and i + 1 < len(page_texts):
next_text = page_texts[i + 1].lstrip()
if next_text.startswith('Description') or (next_text.startswith('"RDNA') and 'Description' in next_text[:200]):
format_headers.append((fmt_name, i, m.start()))
# parse instruction formats
formats: dict[str, list] = {}
for fmt_name, page_idx, header_pos in format_headers:
if fmt_name in formats: continue
text, tables = page_texts[page_idx], page_tables[page_idx]
field_pos = text.find('Field Name', header_pos)
fields = None
for offset in range(3):
if page_idx + offset >= len(pages): break
if offset > 0 and has_header_before_fields(page_texts[page_idx + offset]): break
for t in page_tables[page_idx + offset] if offset > 0 or field_pos > header_pos else []:
if is_fields_table(t) and (f := _parse_fields_table(t, fmt_name, enum_names)) and has_encoding(f):
fields = f
break
if fields: break
if not fields and field_pos > header_pos:
for t in tables:
if is_fields_table(t) and (f := _parse_fields_table(t, fmt_name, enum_names)):
fields = f
break
if not fields: continue
field_names = {f[0] for f in fields}
for pg_offset in range(1, 3):
if page_idx + pg_offset >= len(pages) or has_header_before_fields(page_texts[page_idx + pg_offset]): break
for t in page_tables[page_idx + pg_offset]:
if is_fields_table(t) and (extra := _parse_fields_table(t, fmt_name, enum_names)) and not has_encoding(extra):
for ef in extra:
if ef[0] not in field_names:
fields.append(ef)
field_names.add(ef[0])
break
formats[fmt_name] = fields
# fix known PDF errors
if 'SMEM' in formats:
formats['SMEM'] = [(n, 13 if n == 'DLC' else 14 if n == 'GLC' else h, 13 if n == 'DLC' else 14 if n == 'GLC' else l, e, t)
for n, h, l, e, t in formats['SMEM']]
return {"formats": formats, "enums": enums, "src_enum": src_enum, "doc_name": doc_name, "is_cdna": is_cdna}
def _merge_results(results: list[dict]) -> dict:
"""Merge multiple PDF parse results into a superset. Asserts if any conflicts."""
merged = {"formats": {}, "enums": {}, "src_enum": dict(SRC_EXTRAS), "doc_names": [], "is_cdna": False}
for r in results:
merged["doc_names"].append(r["doc_name"])
merged["is_cdna"] = merged["is_cdna"] or r["is_cdna"]
# Merge src_enum (union, assert no conflicts)
for val, name in r["src_enum"].items():
if val in merged["src_enum"]:
assert merged["src_enum"][val] == name, f"SrcEnum conflict: {val} = {merged['src_enum'][val]} vs {name}"
else:
merged["src_enum"][val] = name
# Merge enums (union of ops per enum, assert no conflicts)
for enum_name, ops in r["enums"].items():
if enum_name not in merged["enums"]: merged["enums"][enum_name] = {}
for val, name in ops.items():
if val in merged["enums"][enum_name]:
assert merged["enums"][enum_name][val] == name, f"{enum_name} conflict: {val} = {merged['enums'][enum_name][val]} vs {name}"
else:
merged["enums"][enum_name][val] = name
# Merge formats (union of fields, assert no bit position conflicts for same field name)
for fmt_name, fields in r["formats"].items():
if fmt_name not in merged["formats"]:
merged["formats"][fmt_name] = list(fields)
else:
existing = {f[0]: (f[1], f[2]) for f in merged["formats"][fmt_name]} # name -> (hi, lo)
for f in fields:
name, hi, lo = f[0], f[1], f[2]
if name in existing:
assert existing[name] == (hi, lo), f"Format {fmt_name} field {name} conflict: bits {existing[name]} vs ({hi}, {lo})"
else:
merged["formats"][fmt_name].append(f)
return merged
def generate(output_path: str | None = None, arch: str = "rdna3") -> dict:
"""Generate instruction definitions from AMD ISA PDF(s). Returns dict with formats for testing."""
urls = PDF_URLS[arch]
if isinstance(urls, str): urls = [urls]
# Parse all PDFs and merge
results = [_parse_single_pdf(url) for url in urls]
if len(results) == 1:
merged = results[0]
doc_name = merged["doc_name"]
else:
merged = _merge_results(results)
doc_name = "+".join(merged["doc_names"])
formats, enums, src_enum = merged["formats"], merged["enums"], merged["src_enum"]
# generate output
def enum_lines(name, items):
return [f"class {name}(IntEnum):"] + [f" {n} = {v}" for v, n in sorted(items.items())] + [""]
def field_key(f): return order.index(f[0].lower()) if f[0].lower() in order else 1000
lines = [f"# autogenerated from AMD {doc_name} ISA PDF by dsl.py - do not edit", "from enum import IntEnum",
"from typing import Annotated",
"from extra.assembly.amd.dsl import bits, BitField, Inst32, Inst64, SGPR, VGPR, TTMP as TTMP, s as s, v as v, ttmp as ttmp, SSrc, Src, SImm, Imm, VDSTYEnc, SGPRField, VGPRField",
"import functools", ""]
lines += enum_lines("SrcEnum", src_enum) + sum([enum_lines(n, ops) for n, ops in sorted(enums.items())], [])
# Format-specific field defaults (verified against LLVM test vectors)
format_defaults = {'VOP3P': {'opsel_hi': 3, 'opsel_hi2': 1}}
lines.append("# instruction formats")
for fmt_name, fields in sorted(formats.items()):
base = "Inst64" if max(f[1] for f in fields) > 31 or fmt_name == 'VOP3SD' else "Inst32"
order = FIELD_ORDER.get(fmt_name, [])
lines.append(f"class {fmt_name}({base}):")
if enc := next((f for f in fields if f[0] == 'ENCODING'), None):
enc_str = f"bits[{enc[1]}:{enc[2]}] == 0b{enc[3]:b}" if enc[1] != enc[2] else f"bits[{enc[1]}] == {enc[3]}"
lines.append(f" encoding = {enc_str}")
if defaults := format_defaults.get(fmt_name):
lines.append(f" _defaults = {defaults}")
for name, hi, lo, _, ftype in sorted([f for f in fields if f[0] != 'ENCODING'], key=field_key):
if ftype and ftype.endswith('Op'):
ann = f":Annotated[BitField, {ftype}]"
else:
ann = f":{ftype}" if ftype else ""
lines.append(f" {name.lower()}{ann} = bits[{hi}]" if hi == lo else f" {name.lower()}{ann} = bits[{hi}:{lo}]")
lines.append("")
lines.append("# instruction helpers")
for cls_name, ops in sorted(enums.items()):
fmt = cls_name[:-2]
for op_val, name in sorted(ops.items()):
seg = {"GLOBAL": ", seg=2", "SCRATCH": ", seg=2"}.get(fmt, "")
tgt = {"GLOBAL": "FLAT, GLOBALOp", "SCRATCH": "FLAT, SCRATCHOp"}.get(fmt, f"{fmt}, {cls_name}")
if fmt in formats or fmt in ("GLOBAL", "SCRATCH"):
if fmt in ("VOP1", "VOP2", "VOPC"):
suffix = "_e32"
elif fmt == "VOP3" and op_val < 512:
suffix = "_e64"
else:
suffix = ""
if name in ('V_FMAMK_F32', 'V_FMAMK_F16'):
lines.append(f"def {name.lower()}{suffix}(vdst, src0, K, vsrc1): return {fmt}({cls_name}.{name}, vdst, src0, vsrc1, literal=K)")
elif name in ('V_FMAAK_F32', 'V_FMAAK_F16'):
lines.append(f"def {name.lower()}{suffix}(vdst, src0, vsrc1, K): return {fmt}({cls_name}.{name}, vdst, src0, vsrc1, literal=K)")
else:
lines.append(f"{name.lower()}{suffix} = functools.partial({tgt}.{name}{seg})")
skip_exports = {'DPP8', 'DPP16'}
src_names = {name for _, name in src_enum.items()}
lines += [""] + [f"{name} = SrcEnum.{name}" for _, name in sorted(src_enum.items()) if name not in skip_exports]
if "NULL" in src_names: lines.append("OFF = NULL\n")
if output_path is not None:
import pathlib
pathlib.Path(output_path).write_text('\n'.join(lines))
return {"formats": formats, "enums": enums, "src_enum": src_enum}
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Generate instruction definitions from AMD ISA PDF")
parser.add_argument("--arch", choices=list(PDF_URLS.keys()) + ["all"], default="rdna3", help="Target architecture (default: rdna3)")
args = parser.parse_args()
if args.arch == "all":
for arch in PDF_URLS.keys():
result = generate(f"extra/assembly/amd/autogen/{arch}/__init__.py", arch=arch)
print(f"{arch}: generated SrcEnum ({len(result['src_enum'])}) + {len(result['enums'])} opcode enums + {len(result['formats'])} format classes")
else:
result = generate(f"extra/assembly/amd/autogen/{args.arch}/__init__.py", arch=args.arch)
print(f"generated SrcEnum ({len(result['src_enum'])}) + {len(result['enums'])} opcode enums + {len(result['formats'])} format classes")
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# RDNA3 emulator - executes compiled pseudocode from AMD ISA PDF
# mypy: ignore-errors
from __future__ import annotations
import ctypes, os
from extra.assembly.amd.dsl import Inst, RawImm
from extra.assembly.amd.pcode import _f32, _i32, _sext, _f16, _i16, _f64, _i64, Reg
from extra.assembly.amd.autogen.rdna3.gen_pcode import get_compiled_functions
from extra.assembly.amd.autogen.rdna3 import (
SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, VOP1, VOP2, VOP3, VOP3SD, VOP3P, VOPC, DS, FLAT, VOPD, SrcEnum,
SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, SMEMOp, VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOP3POp, VOPCOp, DSOp, FLATOp, GLOBALOp, VOPDOp
)
Program = dict[int, Inst]
WAVE_SIZE, SGPR_COUNT, VGPR_COUNT = 32, 128, 256
VCC_LO, VCC_HI, NULL, EXEC_LO, EXEC_HI, SCC = SrcEnum.VCC_LO, SrcEnum.VCC_HI, SrcEnum.NULL, SrcEnum.EXEC_LO, SrcEnum.EXEC_HI, SrcEnum.SCC
# VOP3 ops that use 64-bit operands (and thus 64-bit literals when src is 255)
# Exception: V_LDEXP_F64 has 32-bit integer src1, so literal should NOT be 64-bit when src1=255
_VOP3_64BIT_OPS = {op.value for op in VOP3Op if op.name.endswith(('_F64', '_B64', '_I64', '_U64'))}
# Ops where src1 is 32-bit (exponent/shift amount) even though the op name suggests 64-bit
_VOP3_64BIT_OPS_32BIT_SRC1 = {VOP3Op.V_LDEXP_F64.value}
# Ops with 16-bit types in name (for source/dest handling)
# Exception: SAD/MSAD ops take 32-bit packed sources and extract 16-bit/8-bit chunks internally
_VOP3_16BIT_OPS = {op for op in VOP3Op if any(s in op.name for s in ('_F16', '_B16', '_I16', '_U16')) and 'SAD' not in op.name}
_VOP1_16BIT_OPS = {op for op in VOP1Op if any(s in op.name for s in ('_F16', '_B16', '_I16', '_U16'))}
_VOP2_16BIT_OPS = {op for op in VOP2Op if any(s in op.name for s in ('_F16', '_B16', '_I16', '_U16'))}
# CVT ops with 32/64-bit source (despite 16-bit in name)
_CVT_32_64_SRC_OPS = {op for op in VOP3Op if op.name.startswith('V_CVT_') and op.name.endswith(('_F32', '_I32', '_U32', '_F64', '_I64', '_U64'))} | \
{op for op in VOP1Op if op.name.startswith('V_CVT_') and op.name.endswith(('_F32', '_I32', '_U32', '_F64', '_I64', '_U64'))}
# 16-bit dst ops (PACK has 32-bit dst despite F16 in name)
_VOP3_16BIT_DST_OPS = {op for op in _VOP3_16BIT_OPS if 'PACK' not in op.name}
_VOP1_16BIT_DST_OPS = {op for op in _VOP1_16BIT_OPS if 'PACK' not in op.name}
# Inline constants for src operands 128-254. Build tables for f32, f16, and f64 formats.
import struct as _struct
_FLOAT_CONSTS = {SrcEnum.POS_HALF: 0.5, SrcEnum.NEG_HALF: -0.5, SrcEnum.POS_ONE: 1.0, SrcEnum.NEG_ONE: -1.0,
SrcEnum.POS_TWO: 2.0, SrcEnum.NEG_TWO: -2.0, SrcEnum.POS_FOUR: 4.0, SrcEnum.NEG_FOUR: -4.0, SrcEnum.INV_2PI: 0.15915494309189535}
def _build_inline_consts(neg_mask, float_to_bits):
tbl = list(range(65)) + [((-i) & neg_mask) for i in range(1, 17)] + [0] * (127 - 81)
for k, v in _FLOAT_CONSTS.items(): tbl[k - 128] = float_to_bits(v)
return tbl
_INLINE_CONSTS = _build_inline_consts(0xffffffff, lambda f: _struct.unpack('<I', _struct.pack('<f', f))[0])
_INLINE_CONSTS_F16 = _build_inline_consts(0xffff, lambda f: _struct.unpack('<H', _struct.pack('<e', f))[0])
_INLINE_CONSTS_F64 = _build_inline_consts(0xffffffffffffffff, lambda f: _struct.unpack('<Q', _struct.pack('<d', f))[0])
# 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:
for s, z in _valid_mem_ranges:
if s <= addr and addr + size <= s + z: return True
return not _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_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
# Memory op tables (not pseudocode - these are format descriptions)
def _mem_ops(ops, suffix_map):
return {getattr(e, f"{p}_{s}"): v for e in ops for s, v in suffix_map.items() for p in [e.__name__.replace("Op", "")]}
_LOAD_MAP = {'LOAD_B32': (1,4,0), 'LOAD_B64': (2,4,0), 'LOAD_B96': (3,4,0), 'LOAD_B128': (4,4,0), 'LOAD_U8': (1,1,0), 'LOAD_I8': (1,1,1), 'LOAD_U16': (1,2,0), 'LOAD_I16': (1,2,1)}
_STORE_MAP = {'STORE_B32': (1,4), 'STORE_B64': (2,4), 'STORE_B96': (3,4), 'STORE_B128': (4,4), 'STORE_B8': (1,1), 'STORE_B16': (1,2)}
FLAT_LOAD, FLAT_STORE = _mem_ops([GLOBALOp, FLATOp], _LOAD_MAP), _mem_ops([GLOBALOp, FLATOp], _STORE_MAP)
# D16 ops: load/store 16-bit to lower or upper half of VGPR. Format: (size, sign, hi) where hi=1 means upper 16 bits
_D16_LOAD_MAP = {'LOAD_D16_U8': (1,0,0), 'LOAD_D16_I8': (1,1,0), 'LOAD_D16_B16': (2,0,0),
'LOAD_D16_HI_U8': (1,0,1), 'LOAD_D16_HI_I8': (1,1,1), 'LOAD_D16_HI_B16': (2,0,1)}
_D16_STORE_MAP = {'STORE_D16_HI_B8': (1,1), 'STORE_D16_HI_B16': (2,1)} # (size, hi)
FLAT_D16_LOAD = _mem_ops([GLOBALOp, FLATOp], _D16_LOAD_MAP)
FLAT_D16_STORE = _mem_ops([GLOBALOp, FLATOp], _D16_STORE_MAP)
DS_LOAD = {DSOp.DS_LOAD_B32: (1,4,0), DSOp.DS_LOAD_B64: (2,4,0), DSOp.DS_LOAD_B128: (4,4,0), DSOp.DS_LOAD_U8: (1,1,0), DSOp.DS_LOAD_I8: (1,1,1), DSOp.DS_LOAD_U16: (1,2,0), DSOp.DS_LOAD_I16: (1,2,1)}
DS_STORE = {DSOp.DS_STORE_B32: (1,4), DSOp.DS_STORE_B64: (2,4), DSOp.DS_STORE_B128: (4,4), DSOp.DS_STORE_B8: (1,1), DSOp.DS_STORE_B16: (1,2)}
SMEM_LOAD = {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, VOPDOp.V_DUAL_FMAAK_F32: VOP2Op.V_FMAAK_F32, VOPDOp.V_DUAL_FMAMK_F32: VOP2Op.V_FMAMK_F32,
VOPDOp.V_DUAL_MUL_F32: VOP3Op.V_MUL_F32, VOPDOp.V_DUAL_ADD_F32: VOP3Op.V_ADD_F32, VOPDOp.V_DUAL_SUB_F32: VOP3Op.V_SUB_F32,
VOPDOp.V_DUAL_SUBREV_F32: VOP3Op.V_SUBREV_F32, VOPDOp.V_DUAL_MUL_DX9_ZERO_F32: VOP3Op.V_MUL_DX9_ZERO_F32,
VOPDOp.V_DUAL_MOV_B32: VOP3Op.V_MOV_B32, VOPDOp.V_DUAL_CNDMASK_B32: VOP3Op.V_CNDMASK_B32,
VOPDOp.V_DUAL_MAX_F32: VOP3Op.V_MAX_F32, VOPDOp.V_DUAL_MIN_F32: VOP3Op.V_MIN_F32,
VOPDOp.V_DUAL_ADD_NC_U32: VOP3Op.V_ADD_NC_U32, VOPDOp.V_DUAL_LSHLREV_B32: VOP3Op.V_LSHLREV_B32, VOPDOp.V_DUAL_AND_B32: VOP3Op.V_AND_B32,
}
# Compiled pseudocode functions (lazy loaded)
_COMPILED: dict | None = None
def _get_compiled() -> dict:
global _COMPILED
if _COMPILED is None: _COMPILED = get_compiled_functions()
return _COMPILED
class WaveState:
__slots__ = ('sgpr', 'vgpr', 'scc', 'pc', 'literal', '_pend_sgpr', '_scc_reg', '_vcc_reg', '_exec_reg')
def __init__(self):
self.sgpr = [Reg(0) for _ in range(SGPR_COUNT)]
self.vgpr = [[Reg(0) for _ in range(VGPR_COUNT)] for _ in range(WAVE_SIZE)]
self.sgpr[EXEC_LO]._val = 0xffffffff
self.scc, self.pc, self.literal, self._pend_sgpr = 0, 0, 0, {}
# Reg wrappers for pseudocode access
self._scc_reg = Reg(0)
self._vcc_reg = self.sgpr[VCC_LO]
self._exec_reg = self.sgpr[EXEC_LO]
@property
def vcc(self) -> int: return self.sgpr[VCC_LO]._val | (self.sgpr[VCC_HI]._val << 32)
@vcc.setter
def vcc(self, v: int): self.sgpr[VCC_LO]._val, self.sgpr[VCC_HI]._val = v & 0xffffffff, (v >> 32) & 0xffffffff
@property
def exec_mask(self) -> int: return self.sgpr[EXEC_LO]._val | (self.sgpr[EXEC_HI]._val << 32)
@exec_mask.setter
def exec_mask(self, v: int): self.sgpr[EXEC_LO]._val, self.sgpr[EXEC_HI]._val = v & 0xffffffff, (v >> 32) & 0xffffffff
def rsgpr(self, i: int) -> int: return 0 if i == NULL else self.scc if i == SCC else self.sgpr[i]._val if i < SGPR_COUNT else 0
def wsgpr(self, i: int, v: int):
if i < SGPR_COUNT and i != NULL: self.sgpr[i]._val = v & 0xffffffff
def rsgpr64(self, i: int) -> int: return self.rsgpr(i) | (self.rsgpr(i+1) << 32)
def wsgpr64(self, i: int, v: int): self.wsgpr(i, v & 0xffffffff); self.wsgpr(i+1, (v >> 32) & 0xffffffff)
def rsrc(self, v: int, lane: int) -> int:
if v < SGPR_COUNT: return self.sgpr[v]._val
if v == SCC: return self.scc
if v < 255: return _INLINE_CONSTS[v - 128]
if v == 255: return self.literal
return self.vgpr[lane][v - 256]._val if v <= 511 else 0
def rsrc_reg(self, v: int, lane: int) -> Reg:
"""Return the Reg object for a source operand."""
if v < SGPR_COUNT: return self.sgpr[v]
if v == SCC: self._scc_reg._val = self.scc; return self._scc_reg
if v < 255: return Reg(_INLINE_CONSTS[v - 128])
if v == 255: return Reg(self.literal)
return self.vgpr[lane][v - 256] if v <= 511 else Reg(0)
def rsrc_f16(self, v: int, lane: int) -> int:
"""Read source operand for VOP3P packed f16 operations. Uses f16 inline constants."""
if v < SGPR_COUNT: return self.sgpr[v]._val
if v == SCC: return self.scc
if v < 255: return _INLINE_CONSTS_F16[v - 128]
if v == 255: return self.literal
return self.vgpr[lane][v - 256]._val if v <= 511 else 0
def rsrc_reg_f16(self, v: int, lane: int) -> Reg:
"""Return Reg for VOP3P source. Inline constants are f16 in low 16 bits only."""
if v < SGPR_COUNT: return self.sgpr[v]
if v == SCC: self._scc_reg._val = self.scc; return self._scc_reg
if v < 255: return Reg(_INLINE_CONSTS_F16[v - 128]) # f16 inline constant
if v == 255: return Reg(self.literal)
return self.vgpr[lane][v - 256] if v <= 511 else Reg(0)
def rsrc64(self, v: int, lane: int) -> int:
"""Read 64-bit source operand. For inline constants, returns 64-bit representation."""
if 128 <= v < 255: return _INLINE_CONSTS_F64[v - 128]
if v == 255: return self.literal
return self.rsrc(v, lane) | ((self.rsrc(v+1, lane) if v < VCC_LO or 256 <= v <= 511 else 0) << 32)
def rsrc_reg64(self, v: int, lane: int) -> Reg:
"""Return Reg for 64-bit source operand. For inline constants, returns 64-bit f64 value."""
if 128 <= v < 255: return Reg(_INLINE_CONSTS_F64[v - 128])
if v == 255: return Reg(self.literal)
if v < SGPR_COUNT: return Reg(self.sgpr[v]._val | (self.sgpr[v+1]._val << 32))
if 256 <= v <= 511:
vgpr_idx = v - 256
return Reg(self.vgpr[lane][vgpr_idx]._val | (self.vgpr[lane][vgpr_idx + 1]._val << 32))
return Reg(0)
def pend_sgpr_lane(self, reg: int, 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 = val
self._pend_sgpr.clear()
# Instruction decode
def decode_format(word: int) -> tuple[type[Inst] | None, bool]:
hi2 = (word >> 30) & 0x3
if hi2 == 0b11:
enc = (word >> 26) & 0xf
if enc == 0b1101: return SMEM, True
if enc == 0b0101:
op = (word >> 16) & 0x3ff
return (VOP3SD, True) if op in (288, 289, 290, 764, 765, 766, 767, 768, 769, 770) else (VOP3, True)
return {0b0011: (VOP3P, True), 0b0110: (DS, True), 0b0111: (FLAT, True), 0b0010: (VOPD, True)}.get(enc, (None, True))
if hi2 == 0b10:
enc = (word >> 23) & 0x7f
return {0b1111101: (SOP1, False), 0b1111110: (SOPC, False), 0b1111111: (SOPP, False)}.get(enc, (SOPK, False) if ((word >> 28) & 0xf) == 0b1011 else (SOP2, False))
enc = (word >> 25) & 0x7f
return (VOPC, False) if enc == 0b0111110 else (VOP1, False) if enc == 0b0111111 else (VOP2, False)
def _unwrap(v) -> int: return v.val if isinstance(v, RawImm) else v.value if hasattr(v, 'value') else v
def decode_program(data: bytes) -> Program:
result: Program = {}
i = 0
while i < len(data):
word = int.from_bytes(data[i:i+4], 'little')
inst_class, is_64 = decode_format(word)
if inst_class is None: i += 4; continue
base_size = 8 if is_64 else 4
# Pass enough data for potential 64-bit literal (base + 8 bytes max)
inst = inst_class.from_bytes(data[i:i+base_size+8])
for name, val in inst._values.items(): setattr(inst, name, _unwrap(val))
# from_bytes already handles literal reading - only need fallback for cases it doesn't handle
if inst._literal is None:
has_literal = any(getattr(inst, fld, None) == 255 for fld in ('src0', 'src1', 'src2', 'ssrc0', 'ssrc1', 'srcx0', 'srcy0'))
if inst_class == VOP2 and inst.op in (44, 45, 55, 56): has_literal = True
if inst_class == VOPD and (inst.opx in (1, 2) or inst.opy in (1, 2)): has_literal = True
if inst_class == SOP2 and inst.op in (69, 70): has_literal = True
if has_literal:
# For 64-bit ops, the 32-bit literal is placed in HIGH 32 bits (low 32 bits = 0)
# Exception: some ops have mixed src sizes (e.g., V_LDEXP_F64 has 32-bit src1)
op_val = inst._values.get('op')
if hasattr(op_val, 'value'): op_val = op_val.value
is_64bit = inst_class is VOP3 and op_val in _VOP3_64BIT_OPS
# Don't treat literal as 64-bit if the op has 32-bit src1 and src1 is the literal
if is_64bit and op_val in _VOP3_64BIT_OPS_32BIT_SRC1 and getattr(inst, 'src1', None) == 255:
is_64bit = False
lit32 = int.from_bytes(data[i+base_size:i+base_size+4], 'little')
inst._literal = (lit32 << 32) if is_64bit else lit32
inst._words = inst.size() // 4
result[i // 4] = inst
i += inst._words * 4
return result
# ═══════════════════════════════════════════════════════════════════════════════
# EXECUTION - All ALU ops use pseudocode from PDF
# ═══════════════════════════════════════════════════════════════════════════════
def exec_scalar(st: WaveState, inst: Inst) -> int:
"""Execute scalar instruction. Returns PC delta or negative for special cases."""
compiled = _get_compiled()
inst_type = type(inst)
# SOPP: control flow (not ALU)
if inst_type is SOPP:
op = inst.op
if op == SOPPOp.S_ENDPGM: return -1
if op == SOPPOp.S_BARRIER: return -2
if op == SOPPOp.S_BRANCH: return _sext(inst.simm16, 16)
if op == SOPPOp.S_CBRANCH_SCC0: return _sext(inst.simm16, 16) if st.scc == 0 else 0
if op == SOPPOp.S_CBRANCH_SCC1: return _sext(inst.simm16, 16) if st.scc == 1 else 0
if op == SOPPOp.S_CBRANCH_VCCZ: return _sext(inst.simm16, 16) if (st.vcc & 0xffffffff) == 0 else 0
if op == SOPPOp.S_CBRANCH_VCCNZ: return _sext(inst.simm16, 16) if (st.vcc & 0xffffffff) != 0 else 0
if op == SOPPOp.S_CBRANCH_EXECZ: return _sext(inst.simm16, 16) if st.exec_mask == 0 else 0
if op == SOPPOp.S_CBRANCH_EXECNZ: return _sext(inst.simm16, 16) if st.exec_mask != 0 else 0
# Valid SOPP range is 0-61 (max defined opcode); anything above is invalid
if op > 61: raise NotImplementedError(f"Invalid SOPP opcode {op}")
return 0 # waits, hints, nops
# SMEM: memory loads (not ALU)
if inst_type is SMEM:
addr = st.rsgpr64(inst.sbase * 2) + _sext(inst.offset, 21)
if inst.soffset not in (NULL, 0x7f): addr += st.rsrc(inst.soffset, 0)
if (cnt := SMEM_LOAD.get(inst.op)) is None: raise NotImplementedError(f"SMEM op {inst.op}")
for i in range(cnt): st.wsgpr(inst.sdata + i, mem_read((addr + i * 4) & 0xffffffffffffffff, 4))
return 0
# SOP1: special handling for ops not in pseudocode
if inst_type is SOP1:
op = SOP1Op(inst.op)
# S_GETPC_B64: Get program counter (PC is stored as byte offset, convert from words)
if op == SOP1Op.S_GETPC_B64:
pc_bytes = st.pc * 4 # PC is in words, convert to bytes
st.wsgpr64(inst.sdst, pc_bytes)
return 0
# S_SETPC_B64: Set program counter to source value (indirect jump)
# Returns delta such that st.pc + inst_words + delta = target_words
if op == SOP1Op.S_SETPC_B64:
target_bytes = st.rsrc64(inst.ssrc0, 0)
target_words = target_bytes // 4
inst_words = 1 # SOP1 is always 1 word
return target_words - st.pc - inst_words
# Get op enum and lookup compiled function
if inst_type is SOP1: op_cls, ssrc0, sdst = SOP1Op, inst.ssrc0, inst.sdst
elif inst_type is SOP2: op_cls, ssrc0, sdst = SOP2Op, inst.ssrc0, inst.sdst
elif inst_type is SOPC: op_cls, ssrc0, sdst = SOPCOp, inst.ssrc0, None
elif inst_type is SOPK: op_cls, ssrc0, sdst = SOPKOp, inst.sdst, inst.sdst # sdst is both src and dst
else: raise NotImplementedError(f"Unknown scalar type {inst_type}")
op = op_cls(inst.op)
fn = compiled.get(op_cls, {}).get(op)
if fn is None: raise NotImplementedError(f"{op.name} not in pseudocode")
# Build context - handle 64-bit ops that need 64-bit source reads
# 64-bit source ops: name ends with _B64, _I64, _U64 or contains _U64, _I64 before last underscore
is_64bit_s0 = op.name.endswith(('_B64', '_I64', '_U64')) or '_U64_' in op.name or '_I64_' in op.name
is_64bit_s0s1 = op_cls is SOPCOp and op in (SOPCOp.S_CMP_EQ_U64, SOPCOp.S_CMP_LG_U64)
s0 = st.rsrc64(ssrc0, 0) if is_64bit_s0 or is_64bit_s0s1 else (st.rsrc(ssrc0, 0) if inst_type != SOPK else st.rsgpr(inst.sdst))
is_64bit_sop2 = is_64bit_s0 and inst_type is SOP2
s1 = st.rsrc64(inst.ssrc1, 0) if (is_64bit_sop2 or is_64bit_s0s1) else (st.rsrc(inst.ssrc1, 0) if inst_type in (SOP2, SOPC) else inst.simm16 if inst_type is SOPK else 0)
d0 = st.rsgpr64(sdst) if (is_64bit_s0 or is_64bit_s0s1) and sdst is not None else (st.rsgpr(sdst) if sdst is not None else 0)
literal = inst.simm16 if inst_type is SOPK else st.literal
# Create Reg objects for new calling convention
S0, S1, S2, D0 = Reg(s0), Reg(s1), Reg(0), Reg(d0)
SCC, VCC, EXEC = Reg(st.scc), Reg(st.vcc), Reg(st.exec_mask)
# Execute compiled function - fn(S0, S1, S2, D0, SCC, VCC, laneId, EXEC, SIMM16, VGPR, SRC0, VDST)
fn(S0, S1, S2, D0, SCC, VCC, 0, EXEC, Reg(literal), None, 0, 0)
# Apply results from Reg objects
is_64bit_d0 = is_64bit_s0 or is_64bit_s0s1
if sdst is not None:
if is_64bit_d0:
st.wsgpr64(sdst, D0._val)
else:
st.wsgpr(sdst, D0._val)
st.scc = SCC._val
st.exec_mask = EXEC._val
return 0
def exec_vector(st: WaveState, inst: Inst, lane: int, lds: bytearray | None = None,
d0_override: 'Reg | None' = None, vcc_override: 'Reg | None' = None) -> None:
"""Execute vector instruction for one lane.
d0_override: For VOPC/VOP3-VOPC, use this Reg instead of st.sgpr[vdst] for D0 output.
vcc_override: For VOP3SD, use this Reg instead of st.sgpr[sdst] for VCC output.
"""
compiled = _get_compiled()
inst_type, V = type(inst), st.vgpr[lane]
# Memory ops (not ALU pseudocode)
if inst_type is FLAT:
op, addr_reg, data_reg, vdst, offset, saddr = inst.op, inst.addr, inst.data, inst.vdst, _sext(inst.offset, 13), inst.saddr
addr = V[addr_reg]._val | (V[addr_reg+1]._val << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg]._val + offset) & 0xffffffffffffffff if saddr not in (NULL, 0x7f) else (addr + offset) & 0xffffffffffffffff
if op in FLAT_LOAD:
cnt, sz, sign = FLAT_LOAD[op]
for i in range(cnt): val = mem_read(addr + i * sz, sz); V[vdst + i]._val = _sext(val, sz * 8) & 0xffffffff if sign else val
elif op in FLAT_STORE:
cnt, sz = FLAT_STORE[op]
for i in range(cnt): mem_write(addr + i * sz, sz, V[data_reg + i]._val & ((1 << (sz * 8)) - 1))
elif op in FLAT_D16_LOAD:
sz, sign, hi = FLAT_D16_LOAD[op]
val = mem_read(addr, sz)
if sign: val = _sext(val, sz * 8) & 0xffff
if hi: V[vdst]._val = (V[vdst]._val & 0xffff) | (val << 16)
else: V[vdst]._val = (V[vdst]._val & 0xffff0000) | (val & 0xffff)
elif op in FLAT_D16_STORE:
sz, hi = FLAT_D16_STORE[op]
val = (V[data_reg]._val >> 16) & 0xffff if hi else V[data_reg]._val & 0xffff
mem_write(addr, sz, val & ((1 << (sz * 8)) - 1))
else: raise NotImplementedError(f"FLAT op {op}")
return
if inst_type is DS:
op, addr, vdst = inst.op, (V[inst.addr]._val + inst.offset0) & 0xffff, inst.vdst
if op in DS_LOAD:
cnt, sz, sign = DS_LOAD[op]
for i in range(cnt): val = int.from_bytes(lds[addr+i*sz:addr+i*sz+sz], 'little'); V[vdst + i]._val = _sext(val, sz * 8) & 0xffffffff if sign else val
elif op in DS_STORE:
cnt, sz = DS_STORE[op]
for i in range(cnt): lds[addr+i*sz:addr+i*sz+sz] = (V[inst.data0 + i]._val & ((1 << (sz * 8)) - 1)).to_bytes(sz, 'little')
else: raise NotImplementedError(f"DS op {op}")
return
# VOPD: dual-issue, execute two ops using VOP2/VOP3 compiled functions
if inst_type is VOPD:
vdsty = (inst.vdsty << 1) | ((inst.vdstx & 1) ^ 1)
# Read all source operands BEFORE any writes (dual-issue semantics)
sx0, sx1 = Reg(st.rsrc(inst.srcx0, lane)), Reg(V[inst.vsrcx1]._val)
sy0, sy1 = Reg(st.rsrc(inst.srcy0, lane)), Reg(V[inst.vsrcy1]._val)
dx0, dy0 = Reg(V[inst.vdstx]._val), Reg(V[vdsty]._val)
st._scc_reg._val = st.scc
if (op_x := _VOPD_TO_VOP.get(inst.opx)):
if (fn_x := compiled.get(type(op_x), {}).get(op_x)):
fn_x(sx0, sx1, Reg(0), dx0, st._scc_reg, st.sgpr[VCC_LO], lane, st.sgpr[EXEC_LO], Reg(st.literal), None, Reg(0), Reg(inst.vdstx))
if (op_y := _VOPD_TO_VOP.get(inst.opy)):
if (fn_y := compiled.get(type(op_y), {}).get(op_y)):
fn_y(sy0, sy1, Reg(0), dy0, st._scc_reg, st.sgpr[VCC_LO], lane, st.sgpr[EXEC_LO], Reg(st.literal), None, Reg(0), Reg(vdsty))
V[inst.vdstx]._val, V[vdsty]._val = dx0._val, dy0._val
st.scc = st._scc_reg._val
return
# Determine instruction format and get function
is_vop3_vopc = False
is_readlane = False
if inst_type is VOP1:
if inst.op == VOP1Op.V_NOP: return
op_cls, op, src0, src1, src2, vdst = VOP1Op, VOP1Op(inst.op), inst.src0, None, None, inst.vdst
# V_READFIRSTLANE_B32 writes to SGPR, not VGPR
is_readlane = inst.op == VOP1Op.V_READFIRSTLANE_B32
elif inst_type is VOP2:
op_cls, op, src0, src1, src2, vdst = VOP2Op, VOP2Op(inst.op), inst.src0, inst.vsrc1 + 256, None, inst.vdst
elif inst_type is VOP3:
if inst.op < 256:
# VOP3-encoded VOPC - destination is an SGPR (vdst field)
op_cls, op, src0, src1, src2, vdst = VOPCOp, VOPCOp(inst.op), inst.src0, inst.src1, None, inst.vdst
is_vop3_vopc = True
else:
op_cls, op, src0, src1, src2, vdst = VOP3Op, VOP3Op(inst.op), inst.src0, inst.src1, inst.src2, inst.vdst
# V_READFIRSTLANE_B32 and V_READLANE_B32 write to SGPR
is_readlane = inst.op in (VOP3Op.V_READFIRSTLANE_B32, VOP3Op.V_READLANE_B32)
elif inst_type is VOP3SD:
op_cls, op, src0, src1, src2, vdst = VOP3SDOp, VOP3SDOp(inst.op), inst.src0, inst.src1, inst.src2, inst.vdst
elif inst_type is VOPC:
op_cls, op, src0, src1, src2, vdst = VOPCOp, VOPCOp(inst.op), inst.src0, inst.vsrc1 + 256, None, VCC_LO
elif inst_type is VOP3P:
op_cls, op, src0, src1, src2, vdst = VOP3POp, VOP3POp(inst.op), inst.src0, inst.src1, inst.src2, inst.vdst
# WMMA instructions are handled specially (only execute for lane 0)
if op in (VOP3POp.V_WMMA_F32_16X16X16_F16, VOP3POp.V_WMMA_F16_16X16X16_F16):
if lane == 0: exec_wmma(st, inst, op)
return
else: raise NotImplementedError(f"Unknown vector type {inst_type}")
fn = compiled.get(op_cls, {}).get(op)
if fn is None: raise NotImplementedError(f"{op.name} not in pseudocode")
# Build source Regs - get the actual register or create temp for inline constants
# VOP3P uses f16 inline constants (16-bit value in low half only)
if inst_type is VOP3P:
S0 = st.rsrc_reg_f16(src0, lane)
S1 = st.rsrc_reg_f16(src1, lane) if src1 is not None else Reg(0)
S2 = st.rsrc_reg_f16(src2, lane) if src2 is not None else Reg(0)
# Apply op_sel_hi modifiers: control which half is used for hi-half computation
# opsel_hi[0]=0 means src0 hi comes from lo half, =1 means from hi half (default)
# opsel_hi[1]=0 means src1 hi comes from lo half, =1 means from hi half (default)
# opsel_hi2=0 means src2 hi comes from lo half, =1 means from hi half (default)
opsel_hi = getattr(inst, 'opsel_hi', 3) # default 0b11
opsel_hi2 = getattr(inst, 'opsel_hi2', 1) # default 1
# If opsel_hi bit is 0, replicate lo half to hi half
if not (opsel_hi & 1): # src0 hi from lo
lo = S0._val & 0xffff
S0 = Reg((lo << 16) | lo)
if not (opsel_hi & 2): # src1 hi from lo
lo = S1._val & 0xffff
S1 = Reg((lo << 16) | lo)
if not opsel_hi2: # src2 hi from lo
lo = S2._val & 0xffff
S2 = Reg((lo << 16) | lo)
else:
# Check if this is a 64-bit F64 op - needs 64-bit source reads for f64 operands
# V_LDEXP_F64: S0 is f64, S1 is i32 (exponent)
# V_ADD_F64, V_MUL_F64, etc: S0 and S1 are f64
# VOP1 F64 ops (V_TRUNC_F64, V_FLOOR_F64, etc): S0 is f64
is_f64_op = hasattr(op, 'name') and '_F64' in op.name
is_ldexp_f64 = hasattr(op, 'name') and op.name == 'V_LDEXP_F64'
if is_f64_op:
S0 = st.rsrc_reg64(src0, lane)
# V_LDEXP_F64: S1 is i32 exponent, not f64
if is_ldexp_f64:
S1 = st.rsrc_reg(src1, lane) if src1 is not None else Reg(0)
else:
S1 = st.rsrc_reg64(src1, lane) if src1 is not None else Reg(0)
S2 = st.rsrc_reg64(src2, lane) if src2 is not None else Reg(0)
else:
S0 = st.rsrc_reg(src0, lane)
S1 = st.rsrc_reg(src1, lane) if src1 is not None else Reg(0)
S2 = st.rsrc_reg(src2, lane) if src2 is not None else Reg(0)
# VOP3SD V_MAD_U64_U32 and V_MAD_I64_I32 need S2 as 64-bit from VGPR pair
if inst_type is VOP3SD and op in (VOP3SDOp.V_MAD_U64_U32, VOP3SDOp.V_MAD_I64_I32) and src2 is not None:
if 256 <= src2 <= 511: # VGPR
vgpr_idx = src2 - 256
S2 = Reg(V[vgpr_idx]._val | (V[vgpr_idx + 1]._val << 32))
# Apply source modifiers (neg, abs) for VOP3/VOP3SD
if inst_type in (VOP3, VOP3SD):
neg, abs_mod = getattr(inst, 'neg', 0), getattr(inst, 'abs', 0)
if neg or abs_mod:
# Apply to f32 values - need to handle as float
import struct
def apply_mods(reg, neg_bit, abs_bit):
val = reg._val
f = struct.unpack('<f', struct.pack('<I', val & 0xffffffff))[0]
if abs_bit: f = abs(f)
if neg_bit: f = -f
return Reg(struct.unpack('<I', struct.pack('<f', f))[0])
if neg & 1 or abs_mod & 1: S0 = apply_mods(S0, neg & 1, abs_mod & 1)
if neg & 2 or abs_mod & 2: S1 = apply_mods(S1, neg & 2, abs_mod & 2)
if neg & 4 or abs_mod & 4: S2 = apply_mods(S2, neg & 4, abs_mod & 4)
# Apply opsel for VOP3 f16 operations - select which half to use
# opsel[0]: src0, opsel[1]: src1, opsel[2]: src2 (0=lo, 1=hi)
if inst_type is VOP3:
opsel = getattr(inst, 'opsel', 0)
if opsel:
# If opsel bit is set, swap lo and hi so that .f16 reads the hi half
if opsel & 1: # src0 from hi
S0 = Reg(((S0._val >> 16) & 0xffff) | (S0._val << 16))
if opsel & 2: # src1 from hi
S1 = Reg(((S1._val >> 16) & 0xffff) | (S1._val << 16))
if opsel & 4: # src2 from hi
S2 = Reg(((S2._val >> 16) & 0xffff) | (S2._val << 16))
# For VOPC and VOP3-encoded VOPC, D0 is an SGPR (VCC_LO for VOPC, vdst for VOP3 VOPC)
# V_READFIRSTLANE_B32 and V_READLANE_B32 also write to SGPR
# Use d0_override if provided (for batch execution with shared output register)
is_vopc = inst_type is VOPC or (inst_type is VOP3 and is_vop3_vopc)
if is_vopc:
D0 = d0_override if d0_override is not None else st.sgpr[VCC_LO if inst_type is VOPC else vdst]
elif is_readlane:
D0 = st.sgpr[vdst]
else:
D0 = V[vdst]
# Execute compiled function - D0 is modified in place
st._scc_reg._val = st.scc
# For VOP3SD, pass sdst register as VCC parameter (carry-out destination)
# Use vcc_override if provided (for batch execution with shared output register)
# For VOP3 V_CNDMASK_B32, src2 specifies the condition selector (not VCC)
if inst_type is VOP3SD:
vcc_reg = vcc_override if vcc_override is not None else st.sgpr[inst.sdst]
elif inst_type is VOP3 and op == VOP3Op.V_CNDMASK_B32 and src2 is not None:
vcc_reg = st.rsrc_reg(src2, lane) # Use src2 as condition
else:
vcc_reg = st.sgpr[VCC_LO]
# SRC0/VDST are VGPR indices (0-255), not hardware encoding (256-511)
src0_idx = (src0 - 256) if src0 and src0 >= 256 else (src0 if src0 else 0)
result = fn(S0, S1, S2, D0, st._scc_reg, vcc_reg, lane, st.sgpr[EXEC_LO], Reg(st.literal), st.vgpr, Reg(src0_idx), Reg(vdst))
st.scc = st._scc_reg._val
# Handle special results
if result:
if 'vgpr_write' in result:
wr_lane, wr_idx, wr_val = result['vgpr_write']
st.vgpr[wr_lane][wr_idx]._val = wr_val
# 64-bit destination: write high 32 bits to next VGPR (determined from op name)
is_64bit_dst = not is_vopc and not is_readlane and hasattr(op, 'name') and \
any(s in op.name for s in ('_B64', '_I64', '_U64', '_F64'))
if is_64bit_dst:
V[vdst + 1]._val = (D0._val >> 32) & 0xffffffff
D0._val = D0._val & 0xffffffff # Keep only low 32 bits in D0
# ═══════════════════════════════════════════════════════════════════════════════
# 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, inst.src1, inst.src2, inst.vdst
# Read matrix A (16x16 f16/bf16) from lanes 0-15, VGPRs src0 to src0+7 (2 f16 per VGPR = 16 values per lane)
# Layout: A[row][k] where row = lane (0-15), k comes from 8 VGPRs × 2 halves
mat_a = []
for lane in range(16):
for reg in range(8):
val = st.vgpr[lane][src0 - 256 + reg] if src0 >= 256 else st.rsgpr(src0 + reg)
mat_a.append(_f16(val & 0xffff))
mat_a.append(_f16((val >> 16) & 0xffff))
# Read matrix B (16x16 f16/bf16) - same layout, B[col][k] where col comes from lane
mat_b = []
for lane in range(16):
for reg in range(8):
val = st.vgpr[lane][src1 - 256 + reg] if src1 >= 256 else st.rsgpr(src1 + reg)
mat_b.append(_f16(val & 0xffff))
mat_b.append(_f16((val >> 16) & 0xffff))
# Read matrix C (16x16 f32) from lanes 0-31, VGPRs src2 to src2+7
# Layout: element i is at lane (i % 32), VGPR (i // 32) + src2
mat_c = []
for i in range(256):
lane, reg = i % 32, i // 32
val = st.vgpr[lane][src2 - 256 + reg] if src2 >= 256 else st.rsgpr(src2 + reg)
mat_c.append(_f32(val))
# Compute D = A × B + C (16x16 matrix multiply)
mat_d = [0.0] * 256
for row in range(16):
for col in range(16):
acc = 0.0
for k in range(16):
a_val = mat_a[row * 16 + k]
b_val = mat_b[col * 16 + k]
acc += a_val * b_val
mat_d[row * 16 + col] = acc + mat_c[row * 16 + col]
# Write result matrix D back - same layout as C
if op == VOP3POp.V_WMMA_F16_16X16X16_F16:
# Output is f16, pack 2 values per VGPR
for i in range(0, 256, 2):
lane, reg = (i // 2) % 32, (i // 2) // 32
lo = _i16(mat_d[i]) & 0xffff
hi = _i16(mat_d[i + 1]) & 0xffff
st.vgpr[lane][vdst + reg]._val = (hi << 16) | lo
else:
# Output is f32
for i in range(256):
lane, reg = i % 32, i // 32
st.vgpr[lane][vdst + reg]._val = _i32(mat_d[i])
# ═══════════════════════════════════════════════════════════════════════════════
# MAIN EXECUTION LOOP
# ═══════════════════════════════════════════════════════════════════════════════
SCALAR_TYPES = {SOP1, SOP2, SOPC, SOPK, SOPP, SMEM}
VECTOR_TYPES = {VOP1, VOP2, VOP3, VOP3SD, VOPC, FLAT, DS, VOPD, VOP3P}
# Pre-cache compiled functions for fast lookup
_COMPILED_CACHE: dict | None = None
def _get_fn(op_cls, op):
global _COMPILED_CACHE
if _COMPILED_CACHE is None: _COMPILED_CACHE = _get_compiled()
return _COMPILED_CACHE.get(op_cls, {}).get(op)
def exec_vector_batch(st: WaveState, inst: Inst, exec_mask: int, n_lanes: int, lds: bytearray | None = None) -> None:
"""Execute vector instruction for all active lanes at once."""
compiled = _get_compiled()
inst_type = type(inst)
vgpr = st.vgpr
# Memory ops - still per-lane but inlined
if inst_type is FLAT:
op, addr_reg, data_reg, vdst, offset, saddr = inst.op, inst.addr, inst.data, inst.vdst, _sext(inst.offset, 13), inst.saddr
if op in FLAT_LOAD:
cnt, sz, sign = FLAT_LOAD[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = V[addr_reg]._val | (V[addr_reg+1]._val << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg]._val + offset) & 0xffffffffffffffff if saddr not in (NULL, 0x7f) else (addr + offset) & 0xffffffffffffffff
for i in range(cnt): val = mem_read(addr + i * sz, sz); V[vdst + i]._val = _sext(val, sz * 8) & 0xffffffff if sign else val
elif op in FLAT_STORE:
cnt, sz = FLAT_STORE[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = V[addr_reg]._val | (V[addr_reg+1]._val << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg]._val + offset) & 0xffffffffffffffff if saddr not in (NULL, 0x7f) else (addr + offset) & 0xffffffffffffffff
for i in range(cnt): mem_write(addr + i * sz, sz, V[data_reg + i]._val & ((1 << (sz * 8)) - 1))
elif op in FLAT_D16_LOAD:
sz, sign, hi = FLAT_D16_LOAD[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = V[addr_reg]._val | (V[addr_reg+1]._val << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg]._val + offset) & 0xffffffffffffffff if saddr not in (NULL, 0x7f) else (addr + offset) & 0xffffffffffffffff
val = mem_read(addr, sz)
if sign: val = _sext(val, sz * 8) & 0xffff
if hi: V[vdst]._val = (V[vdst]._val & 0xffff) | (val << 16)
else: V[vdst]._val = (V[vdst]._val & 0xffff0000) | (val & 0xffff)
elif op in FLAT_D16_STORE:
sz, hi = FLAT_D16_STORE[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = V[addr_reg]._val | (V[addr_reg+1]._val << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg]._val + offset) & 0xffffffffffffffff if saddr not in (NULL, 0x7f) else (addr + offset) & 0xffffffffffffffff
val = (V[data_reg]._val >> 16) & 0xffff if hi else V[data_reg]._val & 0xffff
mem_write(addr, sz, val & ((1 << (sz * 8)) - 1))
else: raise NotImplementedError(f"FLAT op {op}")
return
if inst_type is DS:
op, vdst = inst.op, inst.vdst
if op in DS_LOAD:
cnt, sz, sign = DS_LOAD[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = (V[inst.addr]._val + inst.offset0) & 0xffff
for i in range(cnt): val = int.from_bytes(lds[addr+i*sz:addr+i*sz+sz], 'little'); V[vdst + i]._val = _sext(val, sz * 8) & 0xffffffff if sign else val
elif op in DS_STORE:
cnt, sz = DS_STORE[op]
for lane in range(n_lanes):
if not (exec_mask & (1 << lane)): continue
V = vgpr[lane]
addr = (V[inst.addr]._val + inst.offset0) & 0xffff
for i in range(cnt): lds[addr+i*sz:addr+i*sz+sz] = (V[inst.data0 + i]._val & ((1 << (sz * 8)) - 1)).to_bytes(sz, 'little')
else: raise NotImplementedError(f"DS op {op}")
return
# For VOPC, VOP3-encoded VOPC, and VOP3SD, we write per-lane bits to an SGPR.
# The pseudocode does D0.u64[laneId] = bit or VCC.u64[laneId] = bit.
# To avoid corrupting reads from the same SGPR, use a shared output Reg(0).
# Exception: CMPX instructions write to EXEC (not D0/VCC).
d0_override, vcc_override = None, None
vopc_dst, vop3sd_dst = None, None
is_cmpx = False
if inst_type is VOPC:
op = VOPCOp(inst.op)
is_cmpx = 'CMPX' in op.name
if not is_cmpx: # Regular CMP writes to VCC
d0_override, vopc_dst = Reg(0), VCC_LO
else: # CMPX writes to EXEC - clear it first, accumulate per-lane
st.sgpr[EXEC_LO]._val = 0
elif inst_type is VOP3 and inst.op < 256: # VOP3-encoded VOPC
op = VOPCOp(inst.op)
is_cmpx = 'CMPX' in op.name
if not is_cmpx: # Regular CMP writes to destination SGPR
d0_override, vopc_dst = Reg(0), inst.vdst
else: # CMPX writes to EXEC - clear it first, accumulate per-lane
st.sgpr[EXEC_LO]._val = 0
if inst_type is VOP3SD:
vcc_override, vop3sd_dst = Reg(0), inst.sdst
# For other vector ops, dispatch to exec_vector per lane (can optimize later)
for lane in range(n_lanes):
if exec_mask & (1 << lane): exec_vector(st, inst, lane, lds, d0_override, vcc_override)
# Write accumulated per-lane bit results to destination SGPRs
# (CMPX writes directly to EXEC in the pseudocode, so no separate write needed)
if vopc_dst is not None: st.sgpr[vopc_dst]._val = d0_override._val
if vop3sd_dst is not None: st.sgpr[vop3sd_dst]._val = vcc_override._val
def step_wave(program: Program, st: WaveState, lds: bytearray, n_lanes: int) -> int:
inst = program.get(st.pc)
if inst is None: return 1
inst_words, st.literal, inst_type = inst._words, getattr(inst, '_literal', None) or 0, type(inst)
if inst_type in SCALAR_TYPES:
delta = exec_scalar(st, inst)
if delta == -1: return -1 # endpgm
if delta == -2: st.pc += inst_words; return -2 # barrier
st.pc += inst_words + delta
else:
# V_READFIRSTLANE_B32 and V_READLANE_B32 write to SGPR, so they should only execute once per wave (lane 0)
is_readlane = (inst_type is VOP1 and inst.op == VOP1Op.V_READFIRSTLANE_B32) or \
(inst_type is VOP3 and inst.op in (VOP3Op.V_READFIRSTLANE_B32, VOP3Op.V_READLANE_B32))
if is_readlane:
exec_vector(st, inst, 0, lds) # Execute once with lane 0
else:
exec_vector_batch(st, inst, st.exec_mask, n_lanes, lds)
st.commit_pends()
st.pc += inst_words
return 0
def exec_wave(program: Program, st: WaveState, lds: bytearray, n_lanes: int) -> int:
while st.pc in program:
result = step_wave(program, st, lds, n_lanes)
if result == -1: return 0
if result == -2: return -2
return 0
def exec_workgroup(program: Program, workgroup_id: tuple[int, int, int], local_size: tuple[int, int, int], args_ptr: int,
wg_id_sgpr_base: int, wg_id_enables: tuple[bool, bool, bool]) -> None:
lx, ly, lz = local_size
total_threads, lds = lx * ly * lz, bytearray(65536)
waves: list[tuple[WaveState, int, int]] = []
for wave_start in range(0, total_threads, WAVE_SIZE):
n_lanes, st = min(WAVE_SIZE, total_threads - wave_start), WaveState()
st.exec_mask = (1 << n_lanes) - 1
st.wsgpr64(0, args_ptr)
gx, gy, gz = workgroup_id
# Set workgroup IDs in SGPRs based on USER_SGPR_COUNT and enable flags from COMPUTE_PGM_RSRC2
sgpr_idx = wg_id_sgpr_base
if wg_id_enables[0]: st.sgpr[sgpr_idx]._val = gx; sgpr_idx += 1
if wg_id_enables[1]: st.sgpr[sgpr_idx]._val = gy; sgpr_idx += 1
if wg_id_enables[2]: st.sgpr[sgpr_idx]._val = gz
for i in range(n_lanes):
tid = wave_start + i
st.vgpr[i][0]._val = tid if local_size == (lx, 1, 1) else ((tid // (lx * ly)) << 20) | (((tid // lx) % ly) << 10) | (tid % lx)
waves.append((st, n_lanes, wave_start))
has_barrier = any(isinstance(inst, SOPP) and inst.op == SOPPOp.S_BARRIER for inst in program.values())
for _ in range(2 if has_barrier else 1):
for st, n_lanes, _ in waves: exec_wave(program, st, lds, n_lanes)
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:
data = (ctypes.c_char * lib_sz).from_address(lib).raw
program = decode_program(data)
if not program: return -1
# Parse COMPUTE_PGM_RSRC2 for SGPR layout
user_sgpr_count = (rsrc2 >> 1) & 0x1f
enable_wg_id_x = bool((rsrc2 >> 7) & 1)
enable_wg_id_y = bool((rsrc2 >> 8) & 1)
enable_wg_id_z = bool((rsrc2 >> 9) & 1)
wg_id_enables = (enable_wg_id_x, enable_wg_id_y, enable_wg_id_z)
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, user_sgpr_count, wg_id_enables)
return 0
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#!/usr/bin/env python3
"""Benchmark comparing Python vs Rust RDNA3 emulators on synthetic and real tinygrad kernels."""
import ctypes, time, os, struct, cProfile, pstats, io
from pathlib import Path
from typing import Callable
# 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, step_wave, WaveState, WAVE_SIZE
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, 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)
# 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)
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 create_synthetic_kernel(n_ops: int) -> bytes:
"""Create a synthetic kernel with n_ops vector operations."""
instructions = []
# VOP2 instructions: v_add_f32, v_mul_f32, v_max_f32, v_min_f32
ops = [
(0b0000011 << 25) | (1 << 17) | (0 << 9) | 256, # v_add_f32 v0, v0, v1
(0b0001000 << 25) | (1 << 17) | (0 << 9) | 256, # v_mul_f32 v0, v0, v1
(0b0010000 << 25) | (1 << 17) | (0 << 9) | 256, # v_max_f32 v0, v0, v1
(0b0001111 << 25) | (1 << 17) | (0 << 9) | 256, # v_min_f32 v0, v0, v1
]
for i in range(n_ops):
instructions.append(ops[i % len(ops)])
# S_ENDPGM
instructions.append((0b101111111 << 23) | (48 << 16) | 0)
return b''.join(struct.pack('<I', inst) for inst in instructions)
def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], dict[int, bytes]] | None:
"""Get a real tinygrad kernel by operation name. Returns (code, global_size, local_size, buf_sizes, buf_data)."""
try:
from tinygrad import Tensor
from tinygrad.runtime.support.elf import elf_loader
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)
_, sections, _ = elf_loader(lib)
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
return (bytes(sec.content), tuple(lowered.prg.p.global_size), tuple(lowered.prg.p.local_size), buf_sizes, buf_data)
return None
except Exception as e:
print(f" Error getting kernel: {e}")
return None
def profile_python_emu(kernel: bytes, global_size, local_size, args_ptr, n_runs: int = 1):
"""Profile the Python emulator to find bottlenecks."""
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)
pr = cProfile.Profile()
pr.enable()
for _ in range(n_runs):
python_run_asm(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr)
pr.disable()
s = io.StringIO()
ps = pstats.Stats(pr, stream=s).sort_stats('cumulative')
ps.print_stats(20)
return s.getvalue()
def measure_step_rate(kernel: bytes, n_steps: int = 10000) -> float:
"""Measure raw step_wave() performance (steps per second)."""
program = decode_program(kernel)
if not program: return 0.0
st = WaveState()
st.exec_mask = 0xffffffff
lds = bytearray(65536)
n_lanes = 32
# Reset PC for each measurement
start = time.perf_counter()
for _ in range(n_steps):
st.pc = 0
while st.pc in program:
result = step_wave(program, st, lds, n_lanes)
if result == -1: break
elapsed = time.perf_counter() - start
return n_steps / elapsed if elapsed > 0 else 0
# Test configurations
SYNTHETIC_TESTS = [
("synthetic_10ops", 10, (1, 1, 1), (32, 1, 1)),
("synthetic_100ops", 100, (1, 1, 1), (32, 1, 1)),
("synthetic_500ops", 500, (1, 1, 1), (32, 1, 1)),
("synthetic_100ops_4wg", 100, (4, 1, 1), (32, 1, 1)),
("synthetic_100ops_16wg", 100, (16, 1, 1), (32, 1, 1)),
]
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("--profile", action="store_true", help="Profile Python emulator")
parser.add_argument("--synthetic-only", action="store_true", help="Only run synthetic tests")
parser.add_argument("--tinygrad-only", action="store_true", help="Only run tinygrad tests")
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 = []
# Synthetic workloads
if not args.tinygrad_only:
print("\n[SYNTHETIC WORKLOADS]")
print("-" * 90)
for name, n_ops, global_size, local_size in SYNTHETIC_TESTS:
kernel = create_synthetic_kernel(n_ops)
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{name}: {n_insts} insts × {n_workgroups} WGs × {n_threads} threads = {total_work:,} ops")
buf_sizes = [4096]
buffers, args_arr, args_ptr, ranges = setup_buffers(buf_sizes)
set_valid_mem_ranges(ranges)
# Benchmark
py_time = benchmark_emulator("Python", python_run_asm, kernel, global_size, local_size, args_ptr, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, 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(("synthetic", name, n_insts, n_workgroups, py_time, rust_time))
# Tinygrad kernels
if not args.synthetic_only:
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 = 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, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, 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(("tinygrad", op_name, n_insts, n_workgroups, py_time, rust_time))
# Optional profiling
if args.profile and py_time:
print("\n [PROFILE - Top 10 functions]")
profile_output = profile_python_emu(kernel, global_size, local_size, args_ptr)
for line in profile_output.split('\n')[5:15]:
if line.strip(): print(f" {line}")
# Summary table
print("\n" + "=" * 90)
print("SUMMARY")
print("=" * 90)
print(f"{'Type':<10} {'Name':<25} {'Insts':<8} {'WGs':<6} {'Python (ms)':<14} {'Rust (ms)':<14} {'Speedup':<10}")
print("-" * 90)
for test_type, 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"{test_type:<10} {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 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()
+24
View File
@@ -0,0 +1,24 @@
"""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")
@@ -0,0 +1,398 @@
# Test to compare Python and Rust RDNA3 emulators by running real tinygrad kernels
import unittest, ctypes, os
from dataclasses import dataclass
from pathlib import Path
# 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"
from extra.assembly.amd.emu import WaveState, decode_program, step_wave, WAVE_SIZE, set_valid_mem_ranges
from extra.assembly.amd.test.helpers import KernelInfo
REMU_PATH = Path(__file__).parents[3] / "remu/target/release/libremu.so"
def _is_f32_nan(bits: int) -> bool:
"""Check if 32-bit value is a NaN (exponent all 1s, mantissa non-zero)."""
return (bits & 0x7f800000) == 0x7f800000 and (bits & 0x007fffff) != 0
def _vals_equal(a: int, b: int) -> bool:
"""Compare two 32-bit values, treating all NaN bit patterns as equal."""
if a == b: return True
return _is_f32_nan(a) and _is_f32_nan(b)
@dataclass
class StateSnapshot:
pc: int
scc: int
vcc: int
exec_mask: int
sgpr: list[int]
vgpr: list[list[int]]
def diff(self, other: 'StateSnapshot', n_lanes: int, arrow: str = " vs ") -> list[str]:
"""Return list of differences between two states."""
diffs = []
if self.pc != other.pc: diffs.append(f"pc: {self.pc}{arrow}{other.pc}")
if self.scc != other.scc: diffs.append(f"scc: {self.scc}{arrow}{other.scc}")
if self.vcc != other.vcc: diffs.append(f"vcc: 0x{self.vcc:08x}{arrow}0x{other.vcc:08x}")
if self.exec_mask != other.exec_mask: diffs.append(f"exec: 0x{self.exec_mask:08x}{arrow}0x{other.exec_mask:08x}")
for i, (a, b) in enumerate(zip(self.sgpr, other.sgpr)):
# Skip VCC_LO/HI (106/107) and EXEC_LO/HI (126/127) as they alias vcc/exec_mask which are compared separately
if i in (106, 107, 126, 127): continue
if not _vals_equal(a, b): diffs.append(f"sgpr[{i}]: 0x{a:08x}{arrow}0x{b:08x}")
for lane in range(n_lanes):
for i, (a, b) in enumerate(zip(self.vgpr[lane], other.vgpr[lane])):
if not _vals_equal(a, b): diffs.append(f"vgpr[{lane}][{i}]: 0x{a:08x}{arrow}0x{b:08x}")
return diffs
class CStateSnapshot(ctypes.Structure):
_fields_ = [("pc", ctypes.c_uint32), ("scc", ctypes.c_uint32), ("vcc", ctypes.c_uint32), ("exec_mask", ctypes.c_uint32),
("sgpr", ctypes.c_uint32 * 128), ("vgpr", (ctypes.c_uint32 * 256) * 32)]
def to_snapshot(self) -> StateSnapshot:
return StateSnapshot(pc=self.pc, scc=self.scc, vcc=self.vcc, exec_mask=self.exec_mask,
sgpr=list(self.sgpr), vgpr=[list(self.vgpr[i]) for i in range(32)])
class RustEmulator:
def __init__(self):
self.lib = ctypes.CDLL(str(REMU_PATH))
self.lib.wave_create.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32]
self.lib.wave_create.restype = ctypes.c_void_p
self.lib.wave_step.argtypes = [ctypes.c_void_p]
self.lib.wave_step.restype = ctypes.c_int32
self.lib.wave_get_snapshot.argtypes = [ctypes.c_void_p, ctypes.POINTER(CStateSnapshot)]
self.lib.wave_set_sgpr.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32]
self.lib.wave_set_vgpr.argtypes = [ctypes.c_void_p, ctypes.c_uint32, ctypes.c_uint32, ctypes.c_uint32]
self.lib.wave_init_lds.argtypes = [ctypes.c_void_p, ctypes.c_uint32]
self.lib.wave_free.argtypes = [ctypes.c_void_p]
self.ctx = None
def create(self, kernel: bytes, n_lanes: int):
kernel_buf = (ctypes.c_char * len(kernel)).from_buffer_copy(kernel)
self.ctx = self.lib.wave_create(ctypes.addressof(kernel_buf), len(kernel), n_lanes)
self._kernel_buf = kernel_buf
def step(self) -> int: return self.lib.wave_step(self.ctx)
def set_sgpr(self, idx: int, val: int): self.lib.wave_set_sgpr(self.ctx, idx, val)
def set_vgpr(self, lane: int, idx: int, val: int): self.lib.wave_set_vgpr(self.ctx, lane, idx, val)
def init_lds(self, size: int): self.lib.wave_init_lds(self.ctx, size)
def get_snapshot(self) -> StateSnapshot:
snap = CStateSnapshot()
self.lib.wave_get_snapshot(self.ctx, ctypes.byref(snap))
return snap.to_snapshot()
def free(self):
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 | None = None
self.lds: bytearray | None = None
self.n_lanes = 0
def create(self, kernel: bytes, n_lanes: int):
self.program = decode_program(kernel)
self.state = WaveState()
self.state.exec_mask = (1 << n_lanes) - 1
self.lds = bytearray(65536)
self.n_lanes = n_lanes
def step(self) -> int:
assert self.program is not None and self.state is not None and self.lds is not None
return step_wave(self.program, self.state, self.lds, self.n_lanes)
def set_sgpr(self, idx: int, val: int):
assert self.state is not None
self.state.sgpr[idx]._val = val & 0xffffffff
def set_vgpr(self, lane: int, idx: int, val: int):
assert self.state is not None
self.state.vgpr[lane][idx]._val = val & 0xffffffff
def get_snapshot(self) -> StateSnapshot:
assert self.state is not None
return StateSnapshot(pc=self.state.pc, scc=self.state.scc, vcc=self.state.vcc & 0xffffffff,
exec_mask=self.state.exec_mask & 0xffffffff, sgpr=[r._val for r in self.state.sgpr],
vgpr=[[r._val for r in 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],
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
total_steps = 0
wg_count = 0
for gidz in range(gz):
for gidy in range(gy):
for gidx in range(gx):
if wg_count >= max_workgroups: return True, f"Completed {wg_count} workgroups (limit reached)", total_steps
wg_count += 1
rust = RustEmulator()
python = PythonEmulator()
rust.create(kernel, n_lanes)
python.create(kernel, n_lanes)
# Initialize LDS (64KB, standard size for AMD GPUs)
rust.init_lds(65536)
for emu in (rust, python):
emu.set_sgpr(0, args_ptr & 0xffffffff)
emu.set_sgpr(1, (args_ptr >> 32) & 0xffffffff)
emu.set_sgpr(13, gidx)
emu.set_sgpr(14, gidy)
emu.set_sgpr(15, gidz)
step = 0
trace: list[tuple[int, int, str, StateSnapshot, StateSnapshot]] = []
try:
while step < max_steps:
rust_before = rust.get_snapshot()
python_before = python.get_snapshot()
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 - 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
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'))
diffs = rust_before.diff(python_before, n_lanes)
if diffs:
trace_lines = []
for idx, (s, pc, d, rb, pb) in enumerate(trace):
trace_lines.append(f" step {s}: PC={pc:3d} {d}")
if idx < len(trace) - 1:
next_rb, next_pb = trace[idx + 1][3:5]
rust_diffs = rb.diff(next_rb, n_lanes, "->")
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(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(f" python: (no changes)")
trace_str = "\n".join(trace_lines)
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()
if rust_result != python_result:
trace_str = "\n".join(f" step {s}: PC={pc:3d} {d}" for s, pc, d, _, _ in trace)
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:
rust_after = rust.get_snapshot()
for i in range(128): python.set_sgpr(i, rust_after.sgpr[i])
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
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
break
if rust_result == 1:
total_steps += step + 1
break
if rust_result < 0 and rust_result != -2:
return False, f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Step {step}: error code {rust_result}", total_steps
step += 1
else:
return False, f"K{kernel_idx} WG({gidx},{gidy},{gidz}) Max steps ({max_steps}) reached", total_steps
finally:
rust.free()
return True, f"Completed {gx*gy*gz} workgroups", total_steps
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 = {}
# Allocate shared buffer pool with padding for over-reads (GPU loads up to 16 bytes at once)
buf_id_to_ptr: dict[int, int] = {}
buffers = []
for buf_id, size in buf_pool.items():
padded_size = ((size + 15) // 16) * 16 + 16 # round up to 16 bytes + extra padding
# Initialize with data from COPY if available
init_data = buf_data.get(buf_id, b'\x00' * padded_size)
init_list = list(init_data) + [0] * (padded_size - len(init_data))
buf = (ctypes.c_uint8 * padded_size)(*init_list[:padded_size])
buffers.append((buf, padded_size))
buf_id_to_ptr[buf_id] = ctypes.addressof(buf)
# Set up valid memory ranges
ranges = {(ctypes.addressof(b), size) for b, size in buffers}
total_steps = 0
for ki, kernel in enumerate(kernels):
# Create args array for this kernel's buffers
args = (ctypes.c_uint64 * len(kernel.buf_idxs))(*[buf_id_to_ptr[bid] for bid in kernel.buf_idxs])
args_ptr = ctypes.addressof(args)
# Update valid ranges to include this args array
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,
program, max_steps, debug, trace_len, ki
)
total_steps += steps
if not ok:
return False, msg
return True, f"Completed {len(kernels)} kernels, {total_steps} total steps"
def compare_emulators_with_memory(kernel: bytes, n_lanes: int, buf_sizes: list, max_steps: int = 1000, debug: bool = False,
global_size: tuple[int, int, int] = (1, 1, 1), trace_len: int = 10) -> tuple[bool, str]:
"""Run both emulators with memory set up for tinygrad kernels, executing all workgroups. Legacy wrapper."""
# Allocate buffers
buffers = []
for size in buf_sizes:
buf = (ctypes.c_uint8 * size)(*[0] * size)
buffers.append(buf)
# Create args array with buffer pointers
args = (ctypes.c_uint64 * len(buffers))(*[ctypes.addressof(b) for b in buffers])
args_ptr = ctypes.addressof(args)
# Set up valid memory ranges for Python emulator
ranges = {(ctypes.addressof(b), len(b)) for b in buffers}
ranges.add((args_ptr, ctypes.sizeof(args)))
set_valid_mem_ranges(ranges)
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[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
out = op_fn(Tensor)
sched = out.schedule()
kernels = []
buf_pool: dict[int, int] = {} # buffer id -> size
buf_data: dict[int, bytes] = {} # buffer id -> initial data from COPY
for ei in sched:
lowered = ei.lower()
if ei.ast.op.name == 'COPY':
# Handle COPY: extract source data to initialize destination buffer
if len(lowered.bufs) >= 2:
dst_buf, src_buf = lowered.bufs[0], lowered.bufs[1]
dst_id = id(dst_buf)
if dst_id not in buf_pool:
buf_pool[dst_id] = dst_buf.nbytes
# Get source data if it's from numpy/CPU
if hasattr(src_buf, 'base') and src_buf.base is not None and hasattr(src_buf.base, '_buf'):
src_data = bytes(src_buf.base._buf)
buf_data[dst_id] = src_data
elif ei.ast.op.name == 'SINK':
if lowered.prg and lowered.prg.p.lib:
lib = bytes(lowered.prg.p.lib)
_, sections, _ = elf_loader(lib)
for sec in sections:
if sec.name == '.text':
buf_idxs = []
buf_sizes = []
for b in lowered.bufs:
buf_id = id(b)
if buf_id not in buf_pool:
buf_pool[buf_id] = b.nbytes
buf_idxs.append(buf_id)
buf_sizes.append(b.nbytes)
kernels.append(KernelInfo(
code=bytes(sec.content),
global_size=tuple(lowered.prg.p.global_size),
local_size=tuple(lowered.prg.p.local_size),
buf_idxs=buf_idxs,
buf_sizes=buf_sizes
))
if not kernels: raise RuntimeError("No kernel found")
return kernels, buf_pool, buf_data
def get_kernel_from_tinygrad(op_fn) -> tuple[bytes, tuple[int, int, int], tuple[int, int, int], list]:
"""Compile a tinygrad operation and extract the last (main) kernel binary. Legacy wrapper."""
kernels, _, _ = get_kernels_from_tinygrad(op_fn)
k = kernels[-1]
return k.code, k.global_size, k.local_size, k.buf_sizes
class TestTinygradKernels(unittest.TestCase):
"""Compare emulators on real tinygrad-compiled kernels."""
def _test_kernel(self, op_fn, max_steps=10000):
kernels, buf_pool, buf_data = get_kernels_from_tinygrad(op_fn)
ok, msg = compare_emulators_multi_kernel(kernels, buf_pool, max_steps=max_steps, buf_data=buf_data)
self.assertTrue(ok, msg)
# Basic ops - consolidated tests covering key instruction patterns
def test_unary_ops(self): self._test_kernel(lambda T: T([-1.0, 0.0, 1.0, 2.0]).relu().exp().log().sqrt().reciprocal())
def test_binary_ops(self): self._test_kernel(lambda T: (T([1.0, 2.0]) + T([3.0, 4.0])) * T([0.5, 0.5]) - T([1.0, 1.0]))
def test_trig(self): self._test_kernel(lambda T: T([0.1, 1.0, 3.14, -1.0]*8).sin() + T([0.1, 1.0, 3.14, -1.0]*8).cos())
def test_compare(self): self._test_kernel(lambda T: (T.empty(64) < T.empty(64)).where(T.empty(64), T.empty(64)))
def test_bitwise(self): self._test_kernel(lambda T: (T([0xF0, 0x0F, 0xFF]*11).int() & T([0x0F, 0x0F, 0x00]*11).int()) | T([1]*33).int())
def test_int_ops(self): self._test_kernel(lambda T: ((T.empty(64).int() + T.empty(64).int()) * T.empty(64).int()).float())
# Reductions
def test_reduce(self): self._test_kernel(lambda T: T.empty(64).sum() + T.empty(64).max())
def test_argmax(self): self._test_kernel(lambda T: T.empty(64).argmax())
# Matmul
def test_gemm(self): self._test_kernel(lambda T: T.empty(8, 8) @ T.empty(8, 8), max_steps=100000)
def test_gemm_fp16(self): self._test_kernel(lambda T: T.empty(16, 16).half() @ T.empty(16, 16).half(), max_steps=100000)
# Complex ops
def test_softmax(self): self._test_kernel(lambda T: T.empty(16).softmax())
def test_layernorm(self): self._test_kernel(lambda T: T.empty(8, 8).layernorm())
# Memory patterns
def test_memory(self): self._test_kernel(lambda T: T.empty(4, 4).permute(1, 0).contiguous() + T.empty(4, 1).expand(4, 4))
# Cast ops
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)))
# 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)
# Regression tests
def test_topk(self): self._test_kernel(lambda T: T.empty(64).topk(3)[0])
def test_interpolate(self): self._test_kernel(lambda T: T.empty(1,2,16,16).relu().cast('uint8').interpolate((8,8), mode="linear"))
def test_index_int64(self):
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_cross_entropy(self):
import numpy as np
np.random.seed(0)
classes = np.random.randint(0, 10, (16,), dtype=np.int32).tolist()
x_np = np.random.randn(16, 10).astype(np.float32)
self._test_kernel(lambda T: (T(x_np.tolist()).reshape(16,10) + 0).cross_entropy((T(classes).int().reshape(16) + 0)))
def test_isinf(self): self._test_kernel(lambda T: T([float('-inf'), 0., float('inf'), 1.1]*8).isinf())
if __name__ == "__main__":
unittest.main()
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#!/usr/bin/env python3
"""Test MUBUF, MTBUF, MIMG, EXP, DS formats against LLVM."""
import unittest
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.dsl import encode_src
class TestMUBUF(unittest.TestCase):
"""Test MUBUF (buffer) instructions."""
def test_buffer_load_b32_basic(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_idxen(self):
# buffer_load_b32 v5, v0, s[8:11], s3 idxen offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x82,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, idxen=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x82,0x03]))
def test_buffer_load_b32_offen(self):
# buffer_load_b32 v5, v0, s[8:11], s3 offen offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x42,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, offen=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x42,0x03]))
def test_buffer_load_b32_glc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 glc
# GFX11: encoding: [0xff,0x4f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x4f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_slc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 slc
# GFX11: encoding: [0xff,0x1f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, slc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x1f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_dlc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 dlc
# GFX11: encoding: [0xff,0x2f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x2f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_all_flags(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 glc slc dlc
# GFX11: encoding: [0xff,0x7f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1, slc=1, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x7f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_store_b32(self):
# buffer_store_b32 v1, off, s[12:15], s4 offset:4095
# GFX11: encoding: [0xff,0x0f,0x68,0xe0,0x00,0x01,0x03,0x04]
inst = buffer_store_b32(vdata=v[1], vaddr=v[0], srsrc=s[12:16], soffset=s[4], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x68,0xe0,0x00,0x01,0x03,0x04]))
def test_buffer_load_b64(self):
# buffer_load_b64 v[5:6], off, s[8:11], s3 offset:4095
# GFX11: encoding: [0xff,0x0f,0x54,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b64(vdata=v[5:7], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x54,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_soffset_m0(self):
# buffer_load_b32 v5, off, s[8:11], m0 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x7d]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=M0, offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x7d]))
def test_buffer_load_soffset_inline_const(self):
# buffer_load_b32 v5, off, s[8:11], 0 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x80]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=0, offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x80]))
def test_buffer_disasm_roundtrip(self):
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1)
decoded = MUBUF.from_bytes(inst.to_bytes())
self.assertEqual(decoded.to_bytes(), inst.to_bytes())
class TestMTBUF(unittest.TestCase):
"""Test MTBUF (typed buffer) instructions."""
def test_tbuffer_load_format_x(self):
# tbuffer_load_format_x v5, off, s[8:11], s3 format:[BUF_FMT_32_FLOAT] offset:4095
# BUF_FMT_32_FLOAT = 22
# GFX11: encoding: [0xff,0x0f,0xb0,0xe8,0x00,0x05,0x02,0x03]
inst = tbuffer_load_format_x(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=22)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0xb0,0xe8,0x00,0x05,0x02,0x03]))
def test_tbuffer_store_format_x(self):
# tbuffer_store_format_x v5, off, s[8:11], s3 format:[BUF_FMT_32_FLOAT] offset:4095
# BUF_FMT_32_FLOAT = 22
# GFX11: encoding: [0xff,0x0f,0xb2,0xe8,0x00,0x05,0x02,0x03]
inst = tbuffer_store_format_x(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=22)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0xb2,0xe8,0x00,0x05,0x02,0x03]))
def test_tbuffer_load_format_xy(self):
# tbuffer_load_format_xy v[5:6], off, s[8:11], s3 format:[BUF_FMT_32_32_FLOAT] offset:4095
# BUF_FMT_32_32_FLOAT = 50
# GFX11: encoding: [0xff,0x8f,0x90,0xe9,0x00,0x05,0x02,0x03]
inst = tbuffer_load_format_xy(vdata=v[5:7], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=50)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x8f,0x90,0xe9,0x00,0x05,0x02,0x03]))
class TestMIMG(unittest.TestCase):
"""Test MIMG (image) instructions."""
def test_image_load_2d(self):
# image_load v[0:3], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1) # dim=1 is SQ_RSRC_IMG_2D
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]))
def test_image_store_2d(self):
# image_store v[0:3], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x18,0xf0,0x04,0x00,0x00,0x00]
inst = image_store(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x18,0xf0,0x04,0x00,0x00,0x00]))
def test_image_load_1d(self):
# image_load v[0:3], v4, s[0:7] dmask:0xf dim:SQ_RSRC_IMG_1D
# GFX11: encoding: [0x00,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:4], vaddr=v[4], srsrc=s[0:8], dmask=0xf, dim=0) # dim=0 is SQ_RSRC_IMG_1D
self.assertEqual(inst.to_bytes(), bytes([0x00,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]))
def test_image_sample(self):
# image_sample v[0:3], v[4:5], s[0:7], s[8:11] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x6c,0xf0,0x04,0x00,0x00,0x08]
inst = image_sample(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], ssamp=s[8:12], dmask=0xf, dim=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x6c,0xf0,0x04,0x00,0x00,0x08]))
def test_image_load_d16(self):
# image_load v[0:1], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D d16
# GFX11: encoding: [0x04,0x0f,0x02,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:2], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1, d16=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x02,0xf0,0x04,0x00,0x00,0x00]))
class TestEXP(unittest.TestCase):
"""Test EXP (export) instructions."""
def test_exp_mrt0(self):
# exp mrt0 v0, v1, v2, v3
# GFX11: encoding: [0x0f,0x00,0x00,0xf8,0x00,0x01,0x02,0x03]
inst = EXP(en=0xf, target=0, vsrc0=v[0], vsrc1=v[1], vsrc2=v[2], vsrc3=v[3])
self.assertEqual(inst.to_bytes(), bytes([0x0f,0x00,0x00,0xf8,0x00,0x01,0x02,0x03]))
def test_exp_mrtz(self):
# exp mrtz v4, v3, v2, v1
# GFX11: encoding: [0x8f,0x00,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[1])
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x00,0x00,0xf8,0x04,0x03,0x02,0x01]))
def test_exp_mrtz_done(self):
# exp mrtz v4, v3, v2, v1 done
# GFX11: encoding: [0x8f,0x08,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[3], done=1)
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x08,0x00,0xf8,0x04,0x03,0x02,0x03]))
def test_exp_partial_mask(self):
# exp mrt0 v0, v1, off, off (en=0x3, only first two components)
# GFX11: encoding: [0x03,0x00,0x00,0xf8,0x00,0x01,0x00,0x00]
inst = EXP(en=0x3, target=0, vsrc0=v[0], vsrc1=v[1], vsrc2=v[0], vsrc3=v[0])
self.assertEqual(inst.to_bytes(), bytes([0x03,0x00,0x00,0xf8,0x00,0x01,0x00,0x00]))
def test_exp_row_en(self):
# exp mrtz v4, v3, v2, v1 row_en
# GFX11: encoding: [0x8f,0x20,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[1], row=1)
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x20,0x00,0xf8,0x04,0x03,0x02,0x01]))
class TestDS(unittest.TestCase):
"""Test DS (data share / LDS) instructions."""
def test_ds_store_b32(self):
# ds_store_b32 v0, v1
# GFX11: encoding: [0x00,0x00,0x34,0xd8,0x00,0x01,0x00,0x00]
inst = ds_store_b32(addr=v[0], data0=v[1])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x34,0xd8,0x00,0x01,0x00,0x00]))
def test_ds_load_b32(self):
# ds_load_b32 v0, v1
# GFX11: encoding: [0x00,0x00,0xd8,0xd8,0x01,0x00,0x00,0x00]
inst = ds_load_b32(vdst=v[0], addr=v[1])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0xd8,0xd8,0x01,0x00,0x00,0x00]))
def test_ds_store_b32_offset(self):
# ds_store_b32 v0, v1 offset:64
# GFX11: encoding: [0x40,0x00,0x34,0xd8,0x00,0x01,0x00,0x00]
inst = ds_store_b32(addr=v[0], data0=v[1], offset0=64)
self.assertEqual(inst.to_bytes(), bytes([0x40,0x00,0x34,0xd8,0x00,0x01,0x00,0x00]))
def test_ds_load_b64(self):
# ds_load_b64 v[0:1], v2
# GFX11: encoding: [0x00,0x00,0xd8,0xd9,0x02,0x00,0x00,0x00]
inst = ds_load_b64(vdst=v[0:2], addr=v[2])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0xd8,0xd9,0x02,0x00,0x00,0x00]))
def test_ds_add_u32(self):
# ds_add_u32 v0, v1
# GFX11: encoding: [0x00,0x00,0x00,0xd8,0x00,0x01,0x00,0x00]
inst = ds_add_u32(addr=v[0], data0=v[1])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x00,0xd8,0x00,0x01,0x00,0x00]))
def test_ds_store_b32_gds(self):
# ds_store_b32 v0, v1 gds
# GFX11: encoding: [0x00,0x00,0x36,0xd8,0x00,0x01,0x00,0x00]
inst = ds_store_b32(addr=v[0], data0=v[1], gds=1)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x36,0xd8,0x00,0x01,0x00,0x00]))
class TestVOP3(unittest.TestCase):
"""Test VOP3 (3-operand vector) instructions."""
def test_v_fma_f32(self):
# v_fma_f32 v0, v1, v2, v3
# GFX11: encoding: [0x00,0x00,0x13,0xd6,0x01,0x05,0x0e,0x04]
inst = v_fma_f32(vdst=v[0], src0=v[1], src1=v[2], src2=v[3])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x13,0xd6,0x01,0x05,0x0e,0x04]))
def test_v_mad_f32(self):
# v_fmac_f32_e64 v0, v1, v2 (fmac is fma with implicit dst as src2)
# Use v_fma_f32 with vdst == src2
inst = v_fma_f32(vdst=v[0], src0=v[1], src1=v[2], src2=v[0])
self.assertEqual(inst.to_bytes()[:4], bytes([0x00,0x00,0x13,0xd6]))
def test_v_add3_u32(self):
# v_add3_u32 v0, v1, v2, v3
# GFX11: encoding: [0x00,0x00,0x55,0xd6,0x01,0x05,0x0e,0x04]
inst = v_add3_u32(vdst=v[0], src0=v[1], src1=v[2], src2=v[3])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x55,0xd6,0x01,0x05,0x0e,0x04]))
class TestFLAT(unittest.TestCase):
"""Test FLAT/GLOBAL/SCRATCH memory instructions."""
def test_global_load_b32(self):
# global_load_b32 v0, v[1:2], off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x52,0xdc,0x01,0x00,0x7c,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1:3], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x52,0xdc,0x01,0x00,0x7c,0x00]))
def test_global_store_b32(self):
# global_store_b32 v[0:1], v2, off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x6a,0xdc,0x00,0x02,0x7c,0x00]
inst = global_store_b32(addr=v[0:2], data=v[2], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x6a,0xdc,0x00,0x02,0x7c,0x00]))
def test_global_load_b32_saddr(self):
# global_load_b32 v0, v1, s[0:1] (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x52,0xdc,0x01,0x00,0x00,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1], saddr=s[0:2])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x52,0xdc,0x01,0x00,0x00,0x00]))
def test_global_load_b32_offset(self):
# global_load_b32 v0, v[1:2], off offset:256 (seg=2 for global)
# GFX11: encoding: [0x00,0x01,0x52,0xdc,0x01,0x00,0x7c,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1:3], saddr=OFF, offset=256)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x01,0x52,0xdc,0x01,0x00,0x7c,0x00]))
def test_global_load_b64(self):
# global_load_b64 v[0:1], v[2:3], off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x56,0xdc,0x02,0x00,0x7c,0x00]
inst = global_load_b64(vdst=v[0:2], addr=v[2:4], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x56,0xdc,0x02,0x00,0x7c,0x00]))
class TestSMEM(unittest.TestCase):
"""Test SMEM (scalar memory) instructions - regression tests for glc/dlc bit positions."""
def test_smem_dlc_bit_position(self):
# s_load_b32 s5, s[2:3], s0 dlc - tests that DLC is at bit 13 (not bit 14)
# GFX11: encoding: [0x41,0x21,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x21,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_glc_bit_position(self):
# s_load_b32 s5, s[2:3], s0 glc - tests that GLC is at bit 14 (not bit 16)
# GFX11: encoding: [0x41,0x41,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], glc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x41,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_glc_dlc_combined(self):
# s_load_b32 s5, s[2:3], s0 glc dlc - tests both flags together
# GFX11: encoding: [0x41,0x61,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], glc=1, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x61,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_disasm_roundtrip_dlc(self):
# Test that disassembly/reassembly preserves DLC bit correctly
data = bytes([0x41,0x21,0x00,0xf4,0x00,0x00,0x00,0x00])
decoded = SMEM.from_bytes(data)
self.assertEqual(decoded.to_bytes(), data)
def test_smem_disasm_roundtrip_glc_dlc(self):
# Test that disassembly/reassembly preserves GLC+DLC bits correctly
data = bytes([0x41,0x61,0x00,0xf4,0x00,0x00,0x00,0x00])
decoded = SMEM.from_bytes(data)
self.assertEqual(decoded.to_bytes(), data)
class TestVOP3Literal(unittest.TestCase):
"""Test VOP3 literal handling - regression tests for Inst64 literal encoding."""
def test_vop3_with_literal(self):
# v_add3_u32 v5, vcc_hi, 0xaf123456, v255
# GFX11: encoding: [0x05,0x00,0x55,0xd6,0x6b,0xfe,0xfd,0x07,0x56,0x34,0x12,0xaf]
from extra.assembly.amd.dsl import RawImm
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=RawImm(107), src1=0xaf123456, src2=v[255])
expected = bytes([0x05,0x00,0x55,0xd6,0x6b,0xfe,0xfd,0x07,0x56,0x34,0x12,0xaf])
self.assertEqual(inst.to_bytes(), expected)
def test_vop3_literal_null_operand(self):
# v_add3_u32 v5, null, exec_lo, 0xaf123456
# GFX11: encoding: [0x05,0x00,0x55,0xd6,0x7c,0xfc,0xfc,0x03,0x56,0x34,0x12,0xaf]
from extra.assembly.amd.dsl import RawImm
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=NULL, src1=RawImm(126), src2=0xaf123456)
expected = bytes([0x05,0x00,0x55,0xd6,0x7c,0xfc,0xfc,0x03,0x56,0x34,0x12,0xaf])
self.assertEqual(inst.to_bytes(), expected)
def test_vop3p_with_literal(self):
# Test VOP3P literal encoding (also uses Inst64)
from extra.assembly.amd.dsl import RawImm
inst = VOP3P(VOP3POp.V_PK_ADD_F16, vdst=v[5], src0=RawImm(240), src1=0x12345678, src2=v[0])
self.assertEqual(len(inst.to_bytes()), 12) # 8 bytes + 4 byte literal
if __name__ == "__main__":
unittest.main()
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# do not change these tests. we need to fix bugs to make them pass
# the Inst constructor should be looking at the types of the fields to correctly set the value
import unittest, struct
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.asm import asm
from extra.assembly.amd.test.test_roundtrip import compile_asm
class TestIntegration(unittest.TestCase):
inst: Inst
def tearDown(self):
if not hasattr(self, 'inst'): return
b = self.inst.to_bytes()
st = self.inst.disasm()
reasm = asm(st)
desc = f"{st:25s} {self.inst} {b!r} {reasm}"
self.assertEqual(b, compile_asm(st), desc)
# TODO: this compare should work for valid things
#self.assertEqual(self.inst, reasm)
self.assertEqual(repr(self.inst), repr(reasm))
print(desc)
def test_load_b128(self):
self.inst = s_load_b128(s[4:7], s[0:1], NULL, 0)
def test_load_b128_wrong_size(self):
# this should have to be 4 regs on the loaded to
with self.assertRaises(Exception):
self.inst = s_load_b128(s[4:6], s[0:1], NULL, 0)
def test_mov_b32(self):
self.inst = s_mov_b32(s[80], s[0])
def test_mov_b64(self):
self.inst = s_mov_b64(s[80:81], s[0:1])
def test_mov_b32_wrong(self):
with self.assertRaises(Exception):
self.inst = s_mov_b32(s[80:81], s[0:1])
with self.assertRaises(Exception):
self.inst = s_mov_b32(s[80:81], s[0])
with self.assertRaises(Exception):
self.inst = s_mov_b32(s[80], s[0:1])
def test_mov_b64_wrong(self):
with self.assertRaises(Exception):
self.inst = s_mov_b64(s[80], s[0])
with self.assertRaises(Exception):
self.inst = s_mov_b64(s[80], s[0:1])
with self.assertRaises(Exception):
self.inst = s_mov_b64(s[80:81], s[0])
def test_load_b128_no_0(self):
self.inst = s_load_b128(s[4:7], s[0:1], NULL)
def test_load_b128_s(self):
self.inst = s_load_b128(s[4:7], s[0:1], s[8], 0)
def test_load_b128_v(self):
with self.assertRaises(TypeError):
self.inst = s_load_b128(s[4:7], s[0:1], v[8], 0)
def test_load_b128_off(self):
self.inst = s_load_b128(s[4:7], s[0:1], NULL, 3)
def test_simple_stos(self):
self.inst = s_mov_b32(s[0], s[1])
def test_simple_wrong(self):
with self.assertRaises(TypeError):
self.inst = s_mov_b32(v[0], s[1])
def test_simple_vtov(self):
self.inst = v_mov_b32_e32(v[0], v[1])
def test_simple_stov(self):
self.inst = v_mov_b32_e32(v[0], s[2])
def test_simple_float_to_v(self):
self.inst = v_mov_b32_e32(v[0], 1.0)
def test_simple_v_to_float(self):
with self.assertRaises(TypeError):
self.inst = v_mov_b32_e32(1, v[0])
def test_simple_int_to_v(self):
self.inst = v_mov_b32_e32(v[0], 1)
def test_three_add(self):
self.inst = v_add_co_ci_u32_e32(v[3], s[7], v[3])
def test_three_add_v(self):
self.inst = v_add_co_ci_u32_e32(v[3], v[7], v[3])
def test_three_add_const(self):
self.inst = v_add_co_ci_u32_e32(v[3], 2.0, v[3])
def test_swaitcnt_lgkm(self): self.inst = s_waitcnt(0xfc07)
def test_swaitcnt_vm(self): self.inst = s_waitcnt(0x03f7)
def test_vmad(self):
self.inst = v_mad_u64_u32(v[1:2], NULL, s[2], 3, v[1:2])
def test_large_imm(self):
self.inst = v_mov_b32_e32(v[0], 0x1234)
def test_dual_mov(self):
self.inst = VOPD(VOPDOp.V_DUAL_MOV_B32, VOPDOp.V_DUAL_MOV_B32, vdstx=v[0], vdsty=v[1], srcx0=v[2], srcy0=v[4])
def test_dual_mul(self):
self.inst = v_dual_mul_f32(VOPDOp.V_DUAL_MUL_F32, vdstx=v[0], vdsty=v[1], srcx0=v[2], vsrcx1=v[3], srcy0=v[4], vsrcy1=v[5])
def test_simple_int_to_s(self):
self.inst = s_mov_b32(s[0], 3)
def test_complex_int_to_s(self):
self.inst = s_mov_b32(s[0], 0x235646)
def test_simple_float_to_s(self):
self.inst = s_mov_b32(s[0], 1.0)
def test_complex_float_to_s(self):
self.inst = s_mov_b32(s[0], 1337.0)
int_inst = s_mov_b32(s[0], struct.unpack("I", struct.pack("f", 1337.0))[0])
self.assertEqual(self.inst, int_inst)
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 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")
if __name__ == "__main__":
unittest.main()
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#!/usr/bin/env python3
"""Integration test: round-trip RDNA3 assembly through AMD toolchain."""
import unittest, re, io, sys, subprocess
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.asm import waitcnt, asm
from extra.assembly.amd.test.helpers import get_llvm_mc
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 assembler 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[0:2], NULL),
s_waitcnt(simm16=waitcnt(lgkmcnt=0)),
global_store_b32(addr=v[0:2], 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[0:2], 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[0:2], 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 TestAsm(unittest.TestCase):
"""Test asm() string parsing."""
def test_asm_basic(self):
"""Test basic instruction parsing."""
inst = asm('s_mov_b32 s0, s1')
self.assertEqual(inst.to_bytes(), s_mov_b32(s[0], s[1]).to_bytes())
def test_asm_with_immediates(self):
"""Test parsing with immediate values."""
inst = asm('s_add_u32 s0, s1, 10')
self.assertEqual(inst.to_bytes(), s_add_u32(s[0], s[1], 10).to_bytes())
def test_asm_float_const(self):
"""Test parsing float constants."""
inst = asm('v_mul_f32_e32 v0, 1.0, v1')
self.assertEqual(inst.to_bytes(), v_mul_f32_e32(v[0], 1.0, v[1]).to_bytes())
def test_asm_hex_immediate(self):
"""Test parsing hex immediates."""
inst = asm('s_waitcnt 0xfc07')
self.assertEqual(inst.to_bytes(), s_waitcnt(simm16=0xfc07).to_bytes())
def test_asm_special_regs(self):
"""Test parsing special registers."""
inst = asm('s_mov_b32 s0, vcc_lo')
self.assertEqual(inst.to_bytes(), s_mov_b32(s[0], VCC_LO).to_bytes())
def test_asm_register_range(self):
"""Test parsing register ranges."""
inst = asm('s_load_b128 s[4:7], s[0:1], null')
self.assertEqual(inst.to_bytes(), s_load_b128(s[4:7], s[0:1], NULL).to_bytes())
def test_asm_matches_llvm(self):
"""Test asm() output matches LLVM assembler."""
from tinygrad.runtime.support.compiler_amd import HIPCompiler
compiler = HIPCompiler('gfx1100')
def get_llvm_bytes(instr: str) -> bytes:
src = f'.text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n{instr}\n'
lib = compiler.compile(src)
raw = disassemble(lib)
for line in raw.splitlines():
if instr.split()[0] in line and '//' in line:
hex_str = line.split('//')[1].strip().split(':')[1].strip()
return bytes.fromhex(hex_str)[::-1]
return b''
tests = ['s_mov_b32 s0, s1', 's_endpgm', 'v_add_f32_e32 v0, v1, v2']
for t in tests:
self.assertEqual(asm(t).to_bytes(), get_llvm_bytes(t), f"mismatch for: {t}")
def test_asm_vop3_modifiers(self):
"""Test asm() with VOP3 modifiers (neg, abs, clamp)."""
def get_llvm_encoding(instr: str) -> str:
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-show-encoding'],
input=instr, capture_output=True, text=True)
if m := re.search(r'encoding:\s*\[(.*?)\]', result.stdout):
return m.group(1).replace('0x','').replace(',','').replace(' ','')
return ''
tests = [
'v_fma_f32 v0, -v1, v2, v3', # neg on src0
'v_fma_f32 v0, v1, |v2|, v3', # abs on src1
'v_fma_f32 v0, v1, v2, v3 clamp', # clamp
'v_fma_f32 v0, -v1, |v2|, v3 clamp', # all modifiers
'v_fma_f32 v0, -|v1|, v2, v3', # neg+abs on same operand
]
for t in tests:
our_hex = asm(t).to_bytes().hex()
llvm_hex = get_llvm_encoding(t)
self.assertEqual(our_hex, llvm_hex, f"mismatch for: {t}")
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()
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#!/usr/bin/env python3
"""Test RDNA3 assembler/disassembler against LLVM test vectors."""
import unittest, re, subprocess
from tinygrad.helpers import fetch
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.asm import asm
from extra.assembly.amd.test.helpers import get_llvm_mc
LLVM_BASE = "https://raw.githubusercontent.com/llvm/llvm-project/main/llvm/test/MC/AMDGPU"
# Format info: (filename, format_class, op_enum)
LLVM_TEST_FILES = {
# Scalar ALU
'sop1': ('gfx11_asm_sop1.s', SOP1, SOP1Op),
'sop2': ('gfx11_asm_sop2.s', SOP2, SOP2Op),
'sopp': ('gfx11_asm_sopp.s', SOPP, SOPPOp),
'sopk': ('gfx11_asm_sopk.s', SOPK, SOPKOp),
'sopc': ('gfx11_asm_sopc.s', SOPC, SOPCOp),
# Vector ALU
'vop1': ('gfx11_asm_vop1.s', VOP1, VOP1Op),
'vop2': ('gfx11_asm_vop2.s', VOP2, VOP2Op),
'vopc': ('gfx11_asm_vopc.s', VOPC, VOPCOp),
'vop3': ('gfx11_asm_vop3.s', VOP3, VOP3Op),
'vop3p': ('gfx11_asm_vop3p.s', VOP3P, VOP3POp),
'vop3sd': ('gfx11_asm_vop3.s', VOP3SD, VOP3SDOp), # VOP3SD shares file with VOP3
'vinterp': ('gfx11_asm_vinterp.s', VINTERP, VINTERPOp),
'vopd': ('gfx11_asm_vopd.s', VOPD, VOPDOp),
'vopcx': ('gfx11_asm_vopcx.s', VOPC, VOPCOp), # VOPCX uses VOPC format
# VOP3 promotions (VOP1/VOP2/VOPC promoted to VOP3 encoding)
'vop3_from_vop1': ('gfx11_asm_vop3_from_vop1.s', VOP3, VOP3Op),
'vop3_from_vop2': ('gfx11_asm_vop3_from_vop2.s', VOP3, VOP3Op),
'vop3_from_vopc': ('gfx11_asm_vop3_from_vopc.s', VOP3, VOP3Op),
'vop3_from_vopcx': ('gfx11_asm_vop3_from_vopcx.s', VOP3, VOP3Op),
# Memory
'ds': ('gfx11_asm_ds.s', DS, DSOp),
'smem': ('gfx11_asm_smem.s', SMEM, SMEMOp),
'flat': ('gfx11_asm_flat.s', FLAT, FLATOp),
'mubuf': ('gfx11_asm_mubuf.s', MUBUF, MUBUFOp),
'mtbuf': ('gfx11_asm_mtbuf.s', MTBUF, MTBUFOp),
'mimg': ('gfx11_asm_mimg.s', MIMG, MIMGOp),
# WMMA (matrix multiply)
'wmma': ('gfx11_asm_wmma.s', VOP3P, VOP3POp),
# Additional features
'vop3_features': ('gfx11_asm_vop3_features.s', VOP3, VOP3Op),
'vop3p_features': ('gfx11_asm_vop3p_features.s', VOP3P, VOP3POp),
'vopd_features': ('gfx11_asm_vopd_features.s', VOPD, VOPDOp),
# Alias files (alternative mnemonics)
'vop3_alias': ('gfx11_asm_vop3_alias.s', VOP3, VOP3Op),
'vop3p_alias': ('gfx11_asm_vop3p_alias.s', VOP3P, VOP3POp),
'vopc_alias': ('gfx11_asm_vopc_alias.s', VOPC, VOPCOp),
'vopcx_alias': ('gfx11_asm_vopcx_alias.s', VOPC, VOPCOp),
'vinterp_alias': ('gfx11_asm_vinterp_alias.s', VINTERP, VINTERPOp),
'smem_alias': ('gfx11_asm_smem_alias.s', SMEM, SMEMOp),
'mubuf_alias': ('gfx11_asm_mubuf_alias.s', MUBUF, MUBUFOp),
'mtbuf_alias': ('gfx11_asm_mtbuf_alias.s', MTBUF, MTBUFOp),
}
def parse_llvm_tests(text: str) -> list[tuple[str, bytes]]:
"""Parse LLVM test format into (asm, expected_bytes) pairs."""
tests, lines = [], text.split('\n')
for i, line in enumerate(lines):
line = line.strip()
if not line or line.startswith(('//', '.', ';')): continue
asm_text = line.split('//')[0].strip()
if not asm_text: continue
for j in range(i, min(i + 3, len(lines))):
# Match GFX11, W32, or W64 encodings (all valid for gfx11)
if m := re.search(r'(?:GFX11|W32|W64)[^:]*:.*?encoding:\s*\[(.*?)\]', lines[j]):
hex_bytes = m.group(1).replace('0x', '').replace(',', '').replace(' ', '')
if hex_bytes:
try: tests.append((asm_text, bytes.fromhex(hex_bytes)))
except ValueError: pass
break
return tests
def try_assemble(text: str):
"""Try to assemble instruction text, return bytes or None on failure."""
try: return asm(text).to_bytes()
except: return None
def compile_asm_batch(instrs: list[str]) -> list[bytes]:
"""Compile multiple instructions with a single llvm-mc call."""
if not instrs: return []
asm_text = ".text\n" + "\n".join(instrs) + "\n"
result = subprocess.run(
[get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=asm_text, capture_output=True, text=True, timeout=30)
if result.returncode != 0: raise RuntimeError(f"llvm-mc batch failed: {result.stderr.strip()}")
# Parse all encodings from output
results = []
for line in result.stdout.split('\n'):
if 'encoding:' not in line: continue
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
results.append(bytes.fromhex(enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')))
if len(results) != len(instrs): raise RuntimeError(f"expected {len(instrs)} encodings, got {len(results)}")
return results
class TestLLVM(unittest.TestCase):
"""Test assembler and disassembler against all LLVM test vectors."""
tests: dict[str, list[tuple[str, bytes]]] = {}
@classmethod
def setUpClass(cls):
for name, (filename, _, _) in LLVM_TEST_FILES.items():
try:
data = fetch(f"{LLVM_BASE}/{filename}").read_bytes()
cls.tests[name] = parse_llvm_tests(data.decode('utf-8', errors='ignore'))
except Exception as e:
print(f"Warning: couldn't fetch {filename}: {e}")
cls.tests[name] = []
# Generate test methods dynamically for each format
def _make_asm_test(name):
def test(self):
passed, failed, skipped = 0, 0, 0
for asm_text, expected in self.tests.get(name, []):
result = try_assemble(asm_text)
if result is None: skipped += 1
elif result == expected: passed += 1
else: failed += 1
print(f"{name.upper()} asm: {passed} passed, {failed} failed, {skipped} skipped")
self.assertEqual(failed, 0)
return test
def _make_disasm_test(name):
def test(self):
_, fmt_cls, op_enum = LLVM_TEST_FILES[name]
# VOP3SD opcodes that share encoding with VOP3 (only for vop3sd test, not vopc promotions)
vop3sd_opcodes = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
is_vopc_promotion = name in ('vop3_from_vopc', 'vop3_from_vopcx')
undocumented = {'smem': {34, 35}, 'sopk': {22, 23}, 'sopp': {8, 58, 59}}
# First pass: decode all instructions and collect disasm strings
to_test: list[tuple[str, bytes, str | None, str | None]] = [] # (asm_text, data, disasm_str, error)
skipped = 0
for asm_text, data in self.tests.get(name, []):
if len(data) > fmt_cls._size(): continue
temp_inst = fmt_cls.from_bytes(data)
temp_op = temp_inst._values.get('op', 0)
temp_op = temp_op.val if hasattr(temp_op, 'val') else temp_op
if temp_op in undocumented.get(name, set()): skipped += 1; continue
if name == 'sopp':
simm16 = temp_inst._values.get('simm16', 0)
simm16 = simm16.val if hasattr(simm16, 'val') else simm16
sopp_no_imm = {48, 54, 53, 55, 60, 61, 62}
if temp_op in sopp_no_imm and simm16 != 0: skipped += 1; continue
try:
if fmt_cls.__name__ in ('VOP3', 'VOP3SD'):
temp = VOP3.from_bytes(data)
op_val = temp._values.get('op', 0)
op_val = op_val.val if hasattr(op_val, 'val') else op_val
is_vop3sd = (op_val in vop3sd_opcodes) and not is_vopc_promotion
decoded = VOP3SD.from_bytes(data) if is_vop3sd else VOP3.from_bytes(data)
if is_vop3sd: VOP3SDOp(op_val)
else: VOP3Op(op_val)
else:
decoded = fmt_cls.from_bytes(data)
op_val = decoded._values.get('op', 0)
op_val = op_val.val if hasattr(op_val, 'val') else op_val
op_enum(op_val)
if decoded.to_bytes()[:len(data)] != data:
to_test.append((asm_text, data, None, "decode roundtrip failed"))
continue
to_test.append((asm_text, data, decoded.disasm(), None))
except Exception as e:
to_test.append((asm_text, data, None, f"exception: {e}"))
# Batch compile all disasm strings with single llvm-mc call
disasm_strs = [(i, t[2]) for i, t in enumerate(to_test) if t[2] is not None]
llvm_results = compile_asm_batch([s for _, s in disasm_strs]) if disasm_strs else []
llvm_map = {i: llvm_results[j] for j, (i, _) in enumerate(disasm_strs)}
# Match results back
passed, failed = 0, 0
failures: list[str] = []
for idx, (asm_text, data, disasm_str, error) in enumerate(to_test):
if error:
failed += 1; failures.append(f"{error} for {data.hex()}")
elif disasm_str is not None and idx in llvm_map:
llvm_bytes = llvm_map[idx]
if llvm_bytes is not None and llvm_bytes == data: passed += 1
elif llvm_bytes is not None: failed += 1; failures.append(f"'{disasm_str}': expected={data.hex()} got={llvm_bytes.hex()}")
print(f"{name.upper()} disasm: {passed} passed, {failed} failed" + (f", {skipped} skipped" if skipped else ""))
if failures[:10]: print(" " + "\n ".join(failures[:10]))
self.assertEqual(failed, 0)
return test
for name in LLVM_TEST_FILES:
setattr(TestLLVM, f'test_{name}_asm', _make_asm_test(name))
setattr(TestLLVM, f'test_{name}_disasm', _make_disasm_test(name))
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,55 @@
#!/usr/bin/env python3
"""Test that invalid instructions raise exceptions through the mock GPU stack."""
import unittest, subprocess, os, time
class TestMockGPUInvalidInstruction(unittest.TestCase):
def test_unsupported_instruction_raises(self):
"""Test that unsupported instructions raise immediately through the full MOCKGPU stack."""
test_code = '''
import struct
from tinygrad import Device, Tensor
from tinygrad.engine.realize import get_runner
from tinygrad.runtime.ops_amd import AMDProgram
dev = Device["AMD"]
a = Tensor([1.0]).realize()
b = a + 1
si = b.schedule()[-1]
runner = get_runner(dev.device, si.ast)
prg = runner._prg
lib = bytearray(prg.lib)
# Find s_endpgm (0xBFB00000) and replace with invalid SOPP op=127 (0xBFFF0000)
found = False
for i in range(0, len(lib) - 4, 4):
if struct.unpack("<I", lib[i:i+4])[0] == 0xBFB00000:
lib[i:i+4] = struct.pack("<I", 0xBFFF0000)
found = True
break
assert found, "s_endpgm not found"
patched_prg = AMDProgram(dev, "patched", bytes(lib))
b.uop.buffer.allocate()
patched_prg(b.uop.buffer._buf, a.uop.buffer._buf, global_size=(1,1,1), local_size=(1,1,1))
dev.synchronize()
'''
env = os.environ.copy()
env["AMD"] = "1"
env["MOCKGPU"] = "1"
env["PYTHON_REMU"] = "1"
env["HCQDEV_WAIT_TIMEOUT_MS"] = "10000"
st = time.perf_counter()
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")
self.assertTrue("NotImplementedError" in result.stderr or "ValueError" in result.stderr,
f"expected NotImplementedError or ValueError in stderr")
# Should exit immediately, not wait for the full timeout
self.assertLess(elapsed, 9.0, f"should exit immediately on emulator exception, took {elapsed:.1f}s")
if __name__ == "__main__":
unittest.main()
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#!/usr/bin/env python3
"""Tests for the RDNA3 pseudocode DSL."""
import unittest
from extra.assembly.amd.pcode import (Reg, TypedView, SliceProxy, ExecContext, compile_pseudocode, _expr, 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)
from extra.assembly.amd.autogen.rdna3.gen_pcode import _VOP3SDOp_V_DIV_SCALE_F32, _VOPCOp_V_CMP_CLASS_F32
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 SliceProxy 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] # SliceProxy, 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 TestSliceProxy(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
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 set VCC bit for the lane when scaling is needed.
The new calling convention uses Reg objects and modifies VCC in place."""
# Normal case: 1.0 / 3.0, no scaling needed, VCC should be 0
S0 = Reg(0x3f800000) # 1.0
S1 = Reg(0x40400000) # 3.0
S2 = Reg(0x3f800000) # 1.0 (numerator)
D0 = Reg(0)
VCC = Reg(0)
_VOP3SDOp_V_DIV_SCALE_F32(S0, S1, S2, D0, Reg(0), VCC, 0, Reg(0xffffffff), Reg(0), None, Reg(0), Reg(0))
# VCC bit 0 should be 0 when no scaling needed
self.assertEqual(VCC._val & 1, 0, "VCC bit 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
D0 = Reg(0)
_VOPCOp_V_CMP_CLASS_F32(Reg(quiet_nan), Reg(s1_quiet), Reg(0), D0, Reg(0), Reg(0), 0, Reg(0xffffffff), Reg(0), None, Reg(0), Reg(0))
self.assertEqual(D0._val & 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
D0 = Reg(0)
_VOPCOp_V_CMP_CLASS_F32(Reg(signal_nan), Reg(s1_signal), Reg(0), D0, Reg(0), Reg(0), 0, Reg(0xffffffff), Reg(0), None, Reg(0), Reg(0))
self.assertEqual(D0._val & 1, 1, "Should detect signaling NaN with signaling NaN mask")
# Test that quiet NaN doesn't match signaling NaN mask
D0 = Reg(0)
_VOPCOp_V_CMP_CLASS_F32(Reg(quiet_nan), Reg(s1_signal), Reg(0), D0, Reg(0), Reg(0), 0, Reg(0xffffffff), Reg(0), None, Reg(0), Reg(0))
self.assertEqual(D0._val & 1, 0, "Quiet NaN should not match signaling NaN mask")
# Test that signaling NaN doesn't match quiet NaN mask
D0 = Reg(0)
_VOPCOp_V_CMP_CLASS_F32(Reg(signal_nan), Reg(s1_quiet), Reg(0), D0, Reg(0), Reg(0), 0, Reg(0xffffffff), Reg(0), None, Reg(0), Reg(0))
self.assertEqual(D0._val & 1, 0, "Signaling NaN should not match quiet NaN mask")
def test_isnan_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 SliceProxy.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()
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#!/usr/bin/env python3
"""Test that PDF parser correctly extracts format fields."""
import unittest, os
from extra.assembly.amd.autogen.rdna3 import (
SOP1, SOP2, SOPK, SOPP, VOP1, VOP2, VOP3SD, VOPC, FLAT, VOPD,
SOP1Op, SOP2Op, VOP1Op, VOP3Op
)
# expected formats with key fields and whether they have ENCODING
EXPECTED_FORMATS = {
'DPP16': (['SRC0', 'DPP_CTRL', 'BANK_MASK', 'ROW_MASK'], False),
'DPP8': (['SRC0', 'LANE_SEL0', 'LANE_SEL7'], False),
'DS': (['OP', 'ADDR', 'DATA0', 'DATA1', 'VDST'], True),
'EXP': (['EN', 'TARGET', 'VSRC0', 'VSRC1', 'VSRC2', 'VSRC3'], True),
'FLAT': (['OP', 'ADDR', 'DATA', 'SADDR', 'VDST', 'OFFSET'], True),
'LDSDIR': (['VDST', 'OP'], True),
'MIMG': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'DMASK'], True),
'MTBUF': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'FORMAT', 'SOFFSET'], True),
'MUBUF': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'SOFFSET'], True),
'SMEM': (['OP', 'SBASE', 'SDATA', 'OFFSET', 'SOFFSET'], True),
'SOP1': (['OP', 'SDST', 'SSRC0'], True),
'SOP2': (['OP', 'SDST', 'SSRC0', 'SSRC1'], True),
'SOPC': (['OP', 'SSRC0', 'SSRC1'], True),
'SOPK': (['OP', 'SDST', 'SIMM16'], True),
'SOPP': (['OP', 'SIMM16'], True),
'VINTERP': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP1': (['OP', 'VDST', 'SRC0'], True),
'VOP2': (['OP', 'VDST', 'SRC0', 'VSRC1'], True),
'VOP3': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP3P': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP3SD': (['OP', 'VDST', 'SDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOPC': (['OP', 'SRC0', 'VSRC1'], True),
'VOPD': (['OPX', 'OPY', 'SRCX0', 'SRCY0', 'VDSTX', 'VDSTY'], True),
}
# Skip PDF parsing tests by default - only run with TEST_PDF_PARSER=1
# These are slow (~5s) and only needed when regenerating autogen/
@unittest.skipUnless(os.environ.get("TEST_PDF_PARSER"), "set TEST_PDF_PARSER=1 to run PDF parser tests")
class TestPDFParserGenerate(unittest.TestCase):
"""Test the PDF parser by running generate() and checking results."""
def test_pdf_parser(self):
"""Single test that validates all PDF parser outputs."""
from extra.assembly.amd.dsl import generate
result = generate()
# test_all_formats_present
for fmt_name in EXPECTED_FORMATS:
self.assertIn(fmt_name, result["formats"], f"missing format {fmt_name}")
# test_format_count
self.assertEqual(len(result["formats"]), 23)
# test_no_duplicate_fields
for fmt_name, fields in result["formats"].items():
field_names = [f[0] for f in fields]
self.assertEqual(len(field_names), len(set(field_names)), f"{fmt_name} has duplicate fields: {field_names}")
# test_expected_fields
for fmt_name, (expected_fields, has_encoding) in EXPECTED_FORMATS.items():
fields = {f[0] for f in result["formats"].get(fmt_name, [])}
for field in expected_fields:
self.assertIn(field, fields, f"{fmt_name} missing {field}")
if has_encoding:
self.assertIn("ENCODING", fields, f"{fmt_name} should have ENCODING")
else:
self.assertNotIn("ENCODING", fields, f"{fmt_name} should not have ENCODING")
# test_vopd_no_dpp16_fields
vopd_fields = {f[0] for f in result["formats"].get("VOPD", [])}
for field in ['DPP_CTRL', 'BANK_MASK', 'ROW_MASK']:
self.assertNotIn(field, vopd_fields, f"VOPD should not have {field}")
# test_dpp16_no_vinterp_fields
dpp16_fields = {f[0] for f in result["formats"].get("DPP16", [])}
for field in ['VDST', 'WAITEXP']:
self.assertNotIn(field, dpp16_fields, f"DPP16 should not have {field}")
# test_sopp_no_smem_fields
sopp_fields = {f[0] for f in result["formats"].get("SOPP", [])}
for field in ['SBASE', 'SDATA']:
self.assertNotIn(field, sopp_fields, f"SOPP should not have {field}")
class TestPDFParser(unittest.TestCase):
"""Verify format classes have correct fields from PDF parsing."""
def test_sop2_fields(self):
"""SOP2 should have op, sdst, ssrc0, ssrc1."""
for field in ['op', 'sdst', 'ssrc0', 'ssrc1']:
self.assertIn(field, SOP2._fields)
self.assertEqual(SOP2._fields['op'].hi, 29)
self.assertEqual(SOP2._fields['op'].lo, 23)
def test_sop1_fields(self):
"""SOP1 should have op, sdst, ssrc0 with correct bit positions."""
for field in ['op', 'sdst', 'ssrc0']:
self.assertIn(field, SOP1._fields)
self.assertNotIn('simm16', SOP1._fields)
self.assertEqual(SOP1._fields['ssrc0'].hi, 7)
self.assertEqual(SOP1._fields['ssrc0'].lo, 0)
assert SOP1._encoding is not None
self.assertEqual(SOP1._encoding[0].hi, 31)
self.assertEqual(SOP1._encoding[1], 0b101111101)
def test_vop3sd_fields(self):
"""VOP3SD should have all fields including src0/src1/src2 from page continuation."""
for field in ['op', 'vdst', 'sdst', 'src0', 'src1', 'src2']:
self.assertIn(field, VOP3SD._fields)
self.assertEqual(VOP3SD._fields['src0'].hi, 40)
self.assertEqual(VOP3SD._fields['src0'].lo, 32)
self.assertEqual(VOP3SD._size(), 8)
def test_flat_has_vdst(self):
"""FLAT should have vdst field."""
self.assertIn('vdst', FLAT._fields)
self.assertEqual(FLAT._fields['vdst'].hi, 63)
self.assertEqual(FLAT._fields['vdst'].lo, 56)
def test_encoding_bits(self):
"""Verify encoding bits are correct for major formats."""
tests = [
(SOP2, 31, 30, 0b10),
(SOPK, 31, 28, 0b1011),
(SOPP, 31, 23, 0b101111111),
(VOP1, 31, 25, 0b0111111),
(VOP2, 31, 31, 0b0),
(VOPC, 31, 25, 0b0111110),
(FLAT, 31, 26, 0b110111),
]
for cls, hi, lo, val in tests:
assert cls._encoding is not None
self.assertEqual(cls._encoding[0].hi, hi, f"{cls.__name__} encoding hi")
self.assertEqual(cls._encoding[0].lo, lo, f"{cls.__name__} encoding lo")
self.assertEqual(cls._encoding[1], val, f"{cls.__name__} encoding val")
def test_opcode_enums_exist(self):
"""Verify opcode enums are generated with expected counts."""
self.assertGreater(len(SOP1Op), 50)
self.assertGreater(len(SOP2Op), 50)
self.assertGreater(len(VOP1Op), 50)
self.assertGreater(len(VOP3Op), 200)
def test_vopd_no_duplicate_fields(self):
"""VOPD should not have duplicate fields and should not include DPP16 fields."""
field_names = list(VOPD._fields.keys())
self.assertEqual(len(field_names), len(set(field_names)))
for field in ['srcx0', 'srcy0', 'opx', 'opy']:
self.assertIn(field, VOPD._fields)
for field in ['dpp_ctrl', 'bank_mask', 'row_mask']:
self.assertNotIn(field, VOPD._fields)
if __name__ == "__main__":
unittest.main()
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#!/usr/bin/env python3
import unittest, subprocess
from extra.assembly.amd.autogen.rdna3 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], 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], 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()
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#!/usr/bin/env python3
"""Roundtrip tests: generate tinygrad kernels, decode instructions, re-encode, verify match."""
import unittest, io, sys, re, subprocess, os
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.asm import asm
from extra.assembly.amd.test.helpers import get_llvm_mc, get_llvm_objdump
# Instruction format detection based on encoding bits
def detect_format(data: bytes) -> type[Inst] | None:
"""Detect instruction format from machine code bytes."""
if len(data) < 4: return None
word = int.from_bytes(data[:4], 'little')
enc_9bit = (word >> 23) & 0x1FF # 9-bit encoding for SOP1/SOPC/SOPP
enc_8bit = (word >> 24) & 0xFF
# Check 9-bit encodings first (most specific)
if enc_9bit == 0x17D: return SOP1 # bits 31:23 = 101111101
if enc_9bit == 0x17E: return SOPC # bits 31:23 = 101111110
if enc_9bit == 0x17F: return SOPP # bits 31:23 = 101111111
# SOPK: bits 31:28 = 1011, bits 27:23 = opcode (check after SOP1/SOPC/SOPP)
if enc_8bit in range(0xB0, 0xC0): return SOPK
# SOP2: bits 31:23 in range 0x100-0x17C (0x80-0xBE in bits 31:24, but not SOPK)
if 0x80 <= enc_8bit <= 0x9F: return SOP2
# VOP1: bits 31:25 = 0111111 (0x3F)
if (word >> 25) == 0x3F: return VOP1
# VOPC: bits 31:25 = 0111110 (0x3E)
if (word >> 25) == 0x3E: return VOPC
# VOP2: bits 31:30 = 00
if (word >> 30) == 0: return VOP2
# Check 64-bit formats
if len(data) >= 8:
if enc_8bit in (0xD4, 0xD5, 0xD7): return VOP3
if enc_8bit == 0xD6: return VOP3SD
if enc_8bit == 0xCC: return VOP3P
if enc_8bit == 0xCD: return VINTERP
if enc_8bit in (0xC8, 0xC9): return VOPD
if enc_8bit == 0xF4: return SMEM
if enc_8bit == 0xD8: return DS
if enc_8bit in (0xDC, 0xDD, 0xDE, 0xDF): return FLAT
if enc_8bit in (0xE0, 0xE1, 0xE2, 0xE3): return MUBUF
if enc_8bit in (0xE8, 0xE9, 0xEA, 0xEB): return MTBUF
return None
def disassemble_lib(lib: bytes, compiler) -> list[tuple[str, bytes]]:
"""Disassemble ELF binary and return list of (instruction_text, machine_code_bytes)."""
old_stdout = sys.stdout
sys.stdout = io.StringIO()
compiler.disassemble(lib)
output = sys.stdout.getvalue()
sys.stdout = old_stdout
results = []
for line in output.splitlines():
if '//' not in line: continue
instr = line.split('//')[0].strip()
if not instr: continue
comment = line.split('//')[1].strip()
if ':' not in comment: continue
hex_str = comment.split(':')[1].strip().split()[0]
try:
machine_bytes = bytes.fromhex(hex_str)[::-1] # big-endian to little-endian
results.append((instr, machine_bytes))
except ValueError:
continue
return results
def compile_asm(instr: str, compiler=None) -> bytes:
"""Compile a single instruction with llvm-mc and return the machine code bytes."""
llvm_mc = get_llvm_mc()
result = subprocess.run(
[llvm_mc, '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=f".text\n{instr}\n", capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed for '{instr}': {result.stderr.strip()}")
# Parse encoding: [0x01,0x39,0x0a,0x7e]
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
hex_vals = enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')
return bytes.fromhex(hex_vals)
raise RuntimeError(f"no encoding found in llvm-mc output for: {instr}")
def compile_asm_batch(instrs: list[str]) -> list[bytes]:
"""Compile multiple instructions with a single llvm-mc call."""
if not instrs: return []
llvm_mc = get_llvm_mc()
src = ".text\n" + "\n".join(instrs) + "\n"
result = subprocess.run(
[llvm_mc, '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=src, capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc batch failed: {result.stderr.strip()}")
# Parse all encodings in order
encodings = []
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
hex_vals = enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')
encodings.append(bytes.fromhex(hex_vals))
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], compiler) -> list[str]:
"""Compile instructions with LLVM and get LLVM's disassembly."""
import tempfile, os
if not instrs: return []
# Build assembly source with all instructions
src = ".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n"
src += "\n".join(f" {instr}" for instr in instrs) + "\n"
# Use llvm-mc to assemble to object file
with tempfile.NamedTemporaryFile(suffix='.o', delete=False) as f:
obj_path = f.name
try:
result = subprocess.run(
[get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-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()}")
# Disassemble with llvm-objdump
result = subprocess.run([get_llvm_objdump(), '-d', '--mcpu=gfx1100', obj_path], capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-objdump failed: {result.stderr.strip()}")
# Parse disassembly output
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)
class TestTinygradKernelRoundtrip(unittest.TestCase):
"""Test roundtrip on real tinygrad-generated kernels using get_kernels_from_tinygrad pattern."""
def _test_kernel_roundtrip(self, op_fn):
"""Generate kernel from op_fn, test:
1. decode -> reencode matches original bytes
2. asm(disasm()) matches LLVM output
3. our disasm() matches LLVM's disassembly string exactly
"""
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)
compiler = HIPCompiler('gfx1100')
# 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
while offset < len(kernel.code):
remaining = kernel.code[offset:]
fmt = detect_format(remaining)
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
try:
decoded = fmt.from_bytes(remaining) # pass all remaining bytes so from_bytes can read literal
size = decoded.size() # actual size including literal
orig_bytes = remaining[:size]
reencoded = decoded.to_bytes()
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))
except Exception as e:
decoded_instrs.append((ki, offset, remaining[:base_size], None, None, False, str(e)))
size = base_size
offset += size
# Collect disasm strings for batched LLVM calls - skip unknown opcodes (op_X) that LLVM can't compile
asm_test_instrs: list[tuple[int, str]] = [] # (idx, our_disasm) for asm test
disasm_test_instrs: list[tuple[int, str]] = [] # (idx, our_disasm) for disasm comparison test
for idx, (ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err) in enumerate(decoded_instrs):
if our_disasm is None: continue
# Skip unknown opcodes and malformed instructions for both tests
if our_disasm.startswith('op_') or re.search(r', \d+, \d+, \d+,', our_disasm): continue
asm_test_instrs.append((idx, our_disasm))
disasm_test_instrs.append((idx, our_disasm))
# Batch compile for asm test
asm_llvm_results = compile_asm_batch([d for _, d in asm_test_instrs])
asm_llvm_map = {idx: result for (idx, _), result in zip(asm_test_instrs, asm_llvm_results)}
# Batch compile+disasm for disasm comparison test
disasm_llvm_results = compile_and_disasm_batch([d for _, d in disasm_test_instrs], compiler)
disasm_llvm_map = {idx: result for (idx, _), result in zip(disasm_test_instrs, disasm_llvm_results)}
# Now evaluate results
decode_passed, decode_failed, decode_skipped = 0, 0, 0
asm_passed, asm_failed, asm_skipped = 0, 0, 0
disasm_passed, disasm_failed, disasm_skipped = 0, 0, 0
decode_failures: list[str] = []
asm_failures: list[str] = []
disasm_failures: list[str] = []
for idx, (ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err) in enumerate(decoded_instrs):
# Decode test
if decode_ok:
decode_passed += 1
elif decode_err == "no format":
decode_skipped += 1
else:
decode_failed += 1
decode_failures.append(f"K{ki}@{offset}: {our_disasm}: {decode_err}")
# Asm test
if our_disasm is None:
asm_skipped += 1
elif idx in asm_llvm_map:
llvm_bytes = asm_llvm_map[idx]
try:
our_bytes = asm(our_disasm).to_bytes()
if our_bytes[:len(llvm_bytes)] == llvm_bytes:
asm_passed += 1
else:
asm_failed += 1
asm_failures.append(f"K{ki}@{offset}: '{our_disasm}': ours={our_bytes[:len(llvm_bytes)].hex()} llvm={llvm_bytes.hex()}")
except Exception:
asm_skipped += 1
else:
asm_skipped += 1
# Disasm comparison test
if our_disasm is None:
disasm_skipped += 1
elif idx in disasm_llvm_map:
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}'")
else:
disasm_skipped += 1
print(f"decode roundtrip: {decode_passed} passed, {decode_failed} failed, {decode_skipped} skipped")
print(f"asm vs llvm: {asm_passed} passed, {asm_failed} failed, {asm_skipped} skipped")
print(f"disasm vs llvm: {disasm_passed} passed, {disasm_failed} failed, {disasm_skipped} skipped")
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
def test_neg(self): self._test_kernel_roundtrip(lambda T: -T([1.0, -2.0, 3.0, -4.0]))
def test_relu(self): self._test_kernel_roundtrip(lambda T: T([-1.0, 0.0, 1.0, 2.0]).relu())
def test_exp(self): self._test_kernel_roundtrip(lambda T: T([0.0, 1.0, 2.0]).exp())
def test_log(self): self._test_kernel_roundtrip(lambda T: T([1.0, 2.0, 3.0]).log())
def test_sin(self): self._test_kernel_roundtrip(lambda T: T([0.0, 1.0, 2.0]).sin())
def test_sqrt(self): self._test_kernel_roundtrip(lambda T: T([1.0, 4.0, 9.0]).sqrt())
def test_recip(self): self._test_kernel_roundtrip(lambda T: T([1.0, 2.0, 4.0]).reciprocal())
# Binary ops
def test_add(self): self._test_kernel_roundtrip(lambda T: T([1.0, 2.0]) + T([3.0, 4.0]))
def test_sub(self): self._test_kernel_roundtrip(lambda T: T([5.0, 6.0]) - T([1.0, 2.0]))
def test_mul(self): self._test_kernel_roundtrip(lambda T: T([2.0, 3.0]) * T([4.0, 5.0]))
def test_div(self): self._test_kernel_roundtrip(lambda T: T([10.0, 20.0]) / T([2.0, 4.0]))
def test_max_binary(self): self._test_kernel_roundtrip(lambda T: T([1.0, 5.0]).maximum(T([3.0, 2.0])))
# Reductions
def test_sum_reduce(self): self._test_kernel_roundtrip(lambda T: T.empty(64).sum())
def test_max_reduce(self): self._test_kernel_roundtrip(lambda T: T.empty(64).max())
def test_mean_reduce(self): self._test_kernel_roundtrip(lambda T: T.empty(32).mean())
# Matmul
def test_gemm_4x4(self): self._test_kernel_roundtrip(lambda T: T.empty(4, 4) @ T.empty(4, 4))
def test_gemv(self): self._test_kernel_roundtrip(lambda T: T.empty(1, 16) @ T.empty(16, 16))
# Complex ops
def test_softmax(self): self._test_kernel_roundtrip(lambda T: T.empty(16).softmax())
def test_layernorm(self): self._test_kernel_roundtrip(lambda T: T.empty(8, 8).layernorm())
# Memory patterns
def test_contiguous(self): self._test_kernel_roundtrip(lambda T: T.empty(4, 4).permute(1, 0).contiguous())
def test_reshape(self): self._test_kernel_roundtrip(lambda T: (T.empty(16) + 1).reshape(4, 4).contiguous())
def test_expand(self): self._test_kernel_roundtrip(lambda T: T.empty(4, 1).expand(4, 4).contiguous())
# Cast ops
def test_cast_int(self): self._test_kernel_roundtrip(lambda T: T.empty(16).int().float())
def test_cast_half(self): self._test_kernel_roundtrip(lambda T: T.empty(16).half().float())
# Comparison ops
def test_cmp_lt(self): self._test_kernel_roundtrip(lambda T: (T.empty(64) < T.empty(64)).where(T.empty(64), T.empty(64)))
def test_where(self): self._test_kernel_roundtrip(lambda T: (T.empty(64) > 0).where(T.empty(64), T.empty(64)))
# 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])))
if __name__ == "__main__":
unittest.main()
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@@ -1,136 +0,0 @@
import os, sys, struct
sys.path.append(os.getcwd())
# PROFILE=1 to use
#os.environ["PROFILE"] = "1"
os.environ["SQTT"] = "1"
os.environ["SQTT_ITRACE_SE_MASK"] = "1"
os.environ["SQTT_LIMIT_SE"] = "1"
import xml.etree.ElementTree as ET
from tinygrad import nn, Tensor, Device
from tinygrad.helpers import get_single_element
from tinygrad.runtime.support.elf import elf_loader
from tinygrad.runtime.ops_amd import ProfileSQTTEvent
from extra.sqtt.attempt_sqtt_parse import parse_sqtt_print_packets
def disassemble(text, root:ET.Element):
i = 0
while i < len(text):
ins = struct.unpack("I", text[i:i+4])[0]
# 1. Get the encoding
did_match = False
for enc_el in root.findall("./ISA/Encodings/Encoding"):
mask = enc_el.findtext("EncodingIdentifierMask")
assert len(mask)%32 == 0
bit_mask = int(mask, 2)
iden = [int(x.text, 2) for x in enc_el.find("EncodingIdentifiers").findall("EncodingIdentifier")]
for ide in iden:
if ins&bit_mask == ide:
did_match = True
break
if did_match: break
if not did_match: raise RuntimeError(f"unknown instruction {ins:08X}")
if len(mask) >= 64: ins = (struct.unpack("I", text[i+4:i+8])[0]<<32) | ins
if len(mask) >= 96: ins = (struct.unpack("I", text[i+8:i+12])[0]<<64) | ins
encoding_name = enc_el.findtext("EncodingName")
#print(ET.tostring(enc_el).decode())
# 2. Parse the Fields for this Encoding
field_data = {}
for field in enc_el.findall("MicrocodeFormat/BitMap/Field"):
# Fields can be split into multiple ranges (RangeCount > 1)
ranges = sorted(field.findall("BitLayout/Range"), key=lambda x: int(x.attrib.get('Order')))
val = 0
current_shift = 0
for rng in ranges:
width = int(rng.find("BitCount").text)
chunk = (ins >> int(rng.find("BitOffset").text)) & ((1 << width) - 1)
val |= (chunk << current_shift)
current_shift += width
field_data[field.find("FieldName").text] = val
# this is already used
del field_data["ENCODING"]
# 3. Extract the instruction
did_match = False
for ins_el in root.findall("./ISA/Instructions/Instruction"):
ins_name = ins_el.findtext("InstructionName")
for ins_enc in ins_el.findall("InstructionEncodings/InstructionEncoding"):
if ins_enc.findtext("EncodingName") == encoding_name:
opcode = int(ins_enc.findtext("Opcode"))
if "OP" in field_data and opcode == field_data["OP"]:
did_match = True
del field_data["OP"]
break
if did_match: break
if did_match: break
#print(ET.tostring(ins_enc).decode())
#print()
#print(field_data)
if not did_match:
print(f"{i:4X} : {ins:16x} -- {encoding_name}")
elif did_match:
params = []
#print(ET.tostring(ins_el).decode())
# 4. Extract the opcodes
for op_ins in ins_enc.findall("Operands/Operand"):
op_type = op_ins.findtext("OperandType")
op_size = op_ins.findtext("OperandSize")
op_fmt = op_ins.findtext("DataFormatName")
op_field_name = op_ins.findtext("FieldName")
if op_field_name is None: continue
assert op_field_name in field_data
# loop through operands for compare
for op_el in root.findall("./ISA/OperandTypes/OperandType"):
test_op_type = op_el.findtext("OperandTypeName")
val_dict = {}
for op_val in op_el.findall("OperandPredefinedValues/PredefinedValue"):
val_dict[int(op_val.findtext("Value"))] = op_val.findtext("Name")
if op_type == test_op_type:
if field_data[op_field_name] in val_dict:
print(op_type, op_size, op_fmt)
params.append(val_dict[field_data[op_field_name]])
else:
params.append(f"{op_type}({field_data[op_field_name]})")
del field_data[op_field_name]
#print(op_type, op_size, op_fmt, op_el, op_field_name,
# field_data[op_field_name],
# val_dict.get(field_data[op_field_name], "<UNK>"))
#print(ET.tostring(op_el).decode())
print(f"{i:4X} : {ins:16x} -- {ins_name.lower()} {', '.join(params)}", field_data)
# advance
i += len(mask) // 8
#print(ET.tostring(root).decode())
if __name__ == "__main__":
# human readable manual at https://docs.amd.com/v/u/en-US/rdna35_instruction_set_architecture
fns = nn.state.zip_extract(Tensor.from_url("https://gpuopen.com/download/machine-readable-isa/latest/"))
xml_str = fns['amdgpu_isa_rdna3_5.xml'].to("CPU").data()
with open("/tmp/rdna35.xml", "wb") as f: f.write(bytes(xml_str))
root = ET.fromstring(xml_str)
a = Tensor.empty(16)+1
for ei in a.schedule():
ei.lower()
# get text
_, hdr, _ = elf_loader(ei.prg.lib)
text = get_single_element([x for x in hdr if x.name==".text"]).content
# llvm disassembler
Device["AMD"].compiler.disassemble(ei.prg.lib)
# run program
ei.run()
sqtt_events = [e for e in Device["AMD"].profile_events if isinstance(e, ProfileSQTTEvent)]
for e in sqtt_events[0:1]: # only the first SE
parse_sqtt_print_packets(e.blob)
disassemble(text[:0x40], root)
-15
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@@ -1,15 +0,0 @@
from tinygrad import Tensor, nn
import xml.etree.ElementTree as ET
if __name__ == "__main__":
# human readable manual at https://docs.amd.com/v/u/en-US/rdna35_instruction_set_architecture
fns = nn.state.zip_extract(Tensor.from_url("https://gpuopen.com/download/machine-readable-isa/latest/"))
xml_str = fns['amdgpu_isa_rdna3_5.xml'].to("CPU").data()
root = ET.fromstring(xml_str)
for op_el in root.findall("./ISA/OperandTypes/OperandType"):
op_name = op_el.findtext("OperandTypeName")
val_dict = {}
for op_val in op_el.findall("OperandPredefinedValues/PredefinedValue"):
val_dict[int(op_val.findtext("Value"))] = op_val.findtext("Name")
print(op_name, val_dict)
-4
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@@ -1,4 +0,0 @@
*.deb
build
src
sniffer/sniff.so
-20
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@@ -1,20 +0,0 @@
Built ROCT-Thunk-Interface (hsakmt)
hsakmt-roct-dev_5.4.4.99999-local_amd64.deb
note: installs to /opt/rocm
Built ROCm-Device-Libs
Works with ROCM_PATH=/home/tiny/build/ROCm-Device-Libs/build/dist
rocm-device-libs_1.0.0.99999-local_amd64.deb
Built ROCm-CompilerSupport (amd_comgr)
no deb, sudo make install to /usr/local
Built ROCR-Runtime
hsa-rocr_1.8.0-local_amd64.deb
hsa-rocr-dev_1.8.0-local_amd64.deb
Built ROCm-OpenCL-Runtime
rocm-ocl-icd_2.0.0-local_amd64.deb
ISSUE: these depend on "comgr"
rocm-opencl_2.0.0-local_amd64.deb
rocm-opencl-dev_2.0.0-local_amd64.deb
Did sudo make install
-41
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@@ -1,41 +0,0 @@
# run two "rocm-bandwidth-test" in a loop
# amdgpu-6.0.5-1581431.20.04
# fixed in kernel 6.2.14
[ 72.153646] RIP: 0010:pm_send_runlist+0x4a/0x630 [amdgpu]
[ 72.153815] Code: 30 65 48 8b 04 25 28 00 00 00 48 89 45 d0 31 c0 80 fb 01 0f 87 aa 9d 49 00 83 e3 01 0f 85 1c 05 00 00 49 8b 3f b8 01 00 00 00 <48> 8b 97 30 01 00 00 44 8b b7 6c 01 00 00 8b 9f 70 01 00 00 8b 8a
[ 72.153900] RSP: 0018:ffffb48445c03c30 EFLAGS: 00010246
[ 72.153928] RAX: 0000000000000001 RBX: 0000000000000000 RCX: 0000000000000000
[ 72.153962] RDX: 000000000000007b RSI: ffff9395e1562558 RDI: 0000000000000000
[ 72.153996] RBP: ffffb48445c03cb8 R08: 0000000000000000 R09: 0000000000000001
[ 72.154030] R10: ffff9395c900d840 R11: 0000000000000000 R12: 0000000000000000
[ 72.154065] R13: ffff9395c9e00400 R14: 0000000000000001 R15: ffff9395e15624e0
[ 72.154099] FS: 00007f345c6463c0(0000) GS:ffff93a4aee80000(0000) knlGS:0000000000000000
[ 72.154137] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[ 72.154165] CR2: 0000000000000130 CR3: 0000000112840000 CR4: 0000000000750ee0
[ 72.154201] PKRU: 55555554
[ 72.154215] Call Trace:
[ 72.154230] <TASK>
[ 72.154244] map_queues_cpsch+0x75/0xc0 [amdgpu]
[ 72.154365] debug_map_and_unlock+0x51/0x90 [amdgpu]
[ 72.154480] debug_refresh_runlist+0x1f/0x30 [amdgpu]
[ 72.154591] kfd_dbg_runtime_disable+0x13c/0x240 [amdgpu]
[ 72.154705] kfd_ioctl_dbg_set_debug_trap+0x69d/0x8b0 [amdgpu]
[ 72.154820] kfd_ioctl+0x24a/0x5b0 [amdgpu]
[ 72.154925] ? kfd_ioctl_create_queue+0x770/0x770 [amdgpu]
[ 72.155035] ? syscall_exit_to_user_mode+0x27/0x50
[ 72.155061] ? exit_to_user_mode_prepare+0x3d/0x1c0
[ 72.155088] __x64_sys_ioctl+0x95/0xd0
[ 72.155109] do_syscall_64+0x5c/0xc0
[ 72.155128] ? syscall_exit_to_user_mode+0x27/0x50
[ 72.155151] ? do_syscall_64+0x69/0xc0
[ 72.155172] entry_SYSCALL_64_after_hwframe+0x61/0xcb
[ 72.155198] RIP: 0033:0x7f345c7f63ab
[ 72.155218] Code: 0f 1e fa 48 8b 05 e5 7a 0d 00 64 c7 00 26 00 00 00 48 c7 c0 ff ff ff ff c3 66 0f 1f 44 00 00 f3 0f 1e fa b8 10 00 00 00 0f 05 <48> 3d 01 f0 ff ff 73 01 c3 48 8b 0d b5 7a 0d 00 f7 d8 64 89 01 48
[ 72.155301] RSP: 002b:00007ffc97cc89f8 EFLAGS: 00000246 ORIG_RAX: 0000000000000010
[ 72.155339] RAX: ffffffffffffffda RBX: 00007ffc97cc8a30 RCX: 00007f345c7f63ab
[ 72.155375] RDX: 00007ffc97cc8a30 RSI: 00000000c0284b82 RDI: 0000000000000003
[ 72.155411] RBP: 00000000c0284b82 R08: 0000000000000000 R09: 0000000000000000
[ 72.155447] R10: 00007f345cd4ddb0 R11: 0000000000000246 R12: 00007ffc97cc8a30
[ 72.155481] R13: 0000000000000003 R14: 00007ffc97cc8d20 R15: 0000000000000000
[ 72.155517] </TASK>
-41
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@@ -1,41 +0,0 @@
# run two tinygrad matrix example in a loop
# amdgpu-6.0.5-1581431.20.04
# NOT fixed in kernel 6.2.14
[ 553.016624] gmc_v11_0_process_interrupt: 30 callbacks suppressed
[ 553.016631] amdgpu 0000:0b:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:9 pasid:32770, for process python3 pid 10001 thread python3 pid 10001)
[ 553.016790] amdgpu 0000:0b:00.0: amdgpu: in page starting at address 0x00007f0000000000 from client 10
[ 553.016892] amdgpu 0000:0b:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00901A30
[ 553.016974] amdgpu 0000:0b:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
[ 553.017051] amdgpu 0000:0b:00.0: amdgpu: MORE_FAULTS: 0x0
[ 553.017111] amdgpu 0000:0b:00.0: amdgpu: WALKER_ERROR: 0x0
[ 553.017173] amdgpu 0000:0b:00.0: amdgpu: PERMISSION_FAULTS: 0x3
[ 553.017238] amdgpu 0000:0b:00.0: amdgpu: MAPPING_ERROR: 0x0
[ 553.017300] amdgpu 0000:0b:00.0: amdgpu: RW: 0x0
[ 553.123921] [drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=2
[ 553.124153] amdgpu: failed to add hardware queue to MES, doorbell=0x1a16
[ 553.124195] amdgpu: MES might be in unrecoverable state, issue a GPU reset
[ 553.124237] amdgpu: Failed to restore queue 2
[ 553.124266] amdgpu: Failed to restore process queues
[ 553.124270] amdgpu: Failed to evict queue 3
[ 553.124297] amdgpu: amdgpu_amdkfd_restore_userptr_worker: Failed to resume KFD
# alternative crash in kernel 6.2.14
[ 151.097948] gmc_v11_0_process_interrupt: 30 callbacks suppressed
[ 151.097953] amdgpu 0000:0b:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32771, for process python3 pid 7525 thread python3 pid 7525)
[ 151.097993] amdgpu 0000:0b:00.0: amdgpu: in page starting at address 0x00007f0000000000 from client 10
[ 151.098008] amdgpu 0000:0b:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A30
[ 151.098020] amdgpu 0000:0b:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
[ 151.098032] amdgpu 0000:0b:00.0: amdgpu: MORE_FAULTS: 0x0
[ 151.098042] amdgpu 0000:0b:00.0: amdgpu: WALKER_ERROR: 0x0
[ 151.098052] amdgpu 0000:0b:00.0: amdgpu: PERMISSION_FAULTS: 0x3
[ 151.098062] amdgpu 0000:0b:00.0: amdgpu: MAPPING_ERROR: 0x0
[ 151.098071] amdgpu 0000:0b:00.0: amdgpu: RW: 0x0
[ 151.209517] [drm:mes_v11_0_submit_pkt_and_poll_completion.constprop.0 [amdgpu]] *ERROR* MES failed to response msg=2
[ 151.209724] amdgpu: failed to add hardware queue to MES, doorbell=0x1002
[ 151.209734] amdgpu: MES might be in unrecoverable state, issue a GPU reset
[ 151.209743] amdgpu: Failed to restore queue 1
[ 151.209751] amdgpu: Failed to restore process queues
[ 151.209759] amdgpu: amdgpu_amdkfd_restore_userptr_worker: Failed to resume KFD
[ 151.209858] amdgpu 0000:0b:00.0: amdgpu: GPU reset begin!
-20
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@@ -1,20 +0,0 @@
# two tinygrad + two bandwidth test
# RDNA2, driver 6.0.5
# recovered from this!
[ 136.971209] gmc_v10_0_process_interrupt: 39 callbacks suppressed
[ 136.971218] amdgpu 0000:0b:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:11 pasid:32773, for process rocm-bandwidth- pid 20281 thread rocm-bandwidth- pid 20281)
[ 136.971228] amdgpu 0000:0b:00.0: amdgpu: in page starting at address 0x00007f5c2b800000 from client 0x1b (UTCL2)
[ 136.971232] amdgpu 0000:0b:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00B01A31
[ 136.971233] amdgpu 0000:0b:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
[ 136.971235] amdgpu 0000:0b:00.0: amdgpu: MORE_FAULTS: 0x1
[ 136.971236] amdgpu 0000:0b:00.0: amdgpu: WALKER_ERROR: 0x0
[ 136.971236] amdgpu 0000:0b:00.0: amdgpu: PERMISSION_FAULTS: 0x3
[ 136.971237] amdgpu 0000:0b:00.0: amdgpu: MAPPING_ERROR: 0x0
[ 136.971238] amdgpu 0000:0b:00.0: amdgpu: RW: 0x0
...
[ 136.993979] amdgpu 0000:0b:00.0: amdgpu: IH ring buffer overflow (0x000BE5A0, 0x0003C480, 0x0003E5C0)
[ 138.209072] amdgpu 0000:0b:00.0: AMD-Vi: Event logged [IO_PAGE_FAULT domain=0x001a address=0x7c00004000 flags=0x0000]
[ 138.209078] amdgpu 0000:0b:00.0: AMD-Vi: Event logged [IO_PAGE_FAULT domain=0x001a address=0x7c00004d80 flags=0x0000]
[ 138.209081] amdgpu 0000:0b:00.0: AMD-Vi: Event logged [IO_PAGE_FAULT domain=0x001a address=0x7c00005000 flags=0x0000]
[ 138.209084] amdgpu 0000:0b:00.0: AMD-Vi: Event logged [IO_PAGE_FAULT domain=0x001a address=0x7c00005d80 flags=0x0000]
-33
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@@ -1,33 +0,0 @@
# ROCK-Kernel-Driver 0b579de9622f5c93021dcb7927d13926313740a2
# non fatal "crash"
[ 127.418045] ------------[ cut here ]------------
[ 127.418046] User pages unexpectedly invalid
[ 127.418056] WARNING: CPU: 16 PID: 260 at drivers/gpu/drm/amd/amdgpu/amdgpu_amdkfd_gpuvm.c:3000 amdgpu_amdkfd_restore_userptr_worker+0x4d9/0x500 [amdgpu]
[ 127.418235] Modules linked in: rfcomm cmac algif_hash algif_skcipher af_alg bnep nls_iso8859_1 iwlmvm mac80211 intel_rapl_msr intel_rapl_common edac_mce_amd snd_hda_codec_realtek snd_hda_codec_generic snd_hda_codec_hdmi kvm_amd binfmt_misc snd_hda_intel snd_intel_dspcfg kvm libarc4 snd_intel_sdw_acpi snd_hda_codec btusb iwlwifi btrtl snd_hda_core btbcm btintel irqbypass btmtk snd_hwdep crct10dif_pclmul snd_pcm polyval_clmulni bluetooth snd_seq_midi snd_seq_midi_event snd_rawmidi snd_seq polyval_generic cfg80211 ghash_clmulni_intel eeepc_wmi snd_seq_device snd_timer aesni_intel asus_wmi ecdh_generic snd platform_profile crypto_simd ledtrig_audio cryptd ecc ccp soundcore sparse_keymap rapl k10temp wmi_bmof mac_hid sch_fq_codel msr parport_pc ppdev lp parport ramoops pstore_blk efi_pstore reed_solomon pstore_zone ip_tables x_tables autofs4 amdgpu hid_generic usbhid hid i2c_algo_bit drm_ttm_helper ttm video iommu_v2 drm_buddy gpu_sched drm_display_helper drm_kms_helper syscopyarea
[ 127.418276] sysfillrect sysimgblt fb_sys_fops drm nvme nvme_core cec r8169 ahci crc32_pclmul rc_core i2c_piix4 xhci_pci libahci nvme_common xhci_pci_renesas realtek wmi
[ 127.418284] CPU: 16 PID: 260 Comm: kworker/16:1 Tainted: G W 6.0.0 #4
[ 127.418286] Hardware name: System manufacturer System Product Name/TUF GAMING X570-PLUS (WI-FI), BIOS 3603 03/20/2021
[ 127.418287] Workqueue: events amdgpu_amdkfd_restore_userptr_worker [amdgpu]
[ 127.418455] RIP: 0010:amdgpu_amdkfd_restore_userptr_worker+0x4d9/0x500 [amdgpu]
[ 127.418601] Code: ff e8 2b 8a 96 d1 e9 66 fe ff ff 48 c7 c7 40 4f f5 c0 e8 56 7b 8a d1 0f 0b e9 2e ff ff ff 48 c7 c7 d8 d0 ed c0 e8 43 7b 8a d1 <0f> 0b e9 0a fe ff ff 4c 89 ef e8 f8 89 96 d1 e9 cb fd ff ff e8 ce
[ 127.418603] RSP: 0018:ffffb36740a83dc8 EFLAGS: 00010282
[ 127.418604] RAX: 0000000000000000 RBX: ffff9d159ee9df30 RCX: 0000000000000027
[ 127.418605] RDX: 0000000000000027 RSI: ffffb36740a83c88 RDI: ffff9d242a220568
[ 127.418606] RBP: ffffb36740a83e58 R08: ffff9d242a220560 R09: 0000000000000001
[ 127.418607] R10: 0000000000000001 R11: 0000000000000020 R12: ffff9d159ee9df98
[ 127.418607] R13: ffff9d159ee9df70 R14: ffff9d159ee9dee0 R15: ffff9d159ee9dee0
[ 127.418608] FS: 0000000000000000(0000) GS:ffff9d242a200000(0000) knlGS:0000000000000000
[ 127.418609] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[ 127.418610] CR2: 00007fd5d4715000 CR3: 0000000120ffe000 CR4: 0000000000750ee0
[ 127.418611] PKRU: 55555554
[ 127.418611] Call Trace:
[ 127.418612] <TASK>
[ 127.418613] process_one_work+0x21f/0x3f0
[ 127.418615] worker_thread+0x4a/0x3c0
[ 127.418617] ? process_one_work+0x3f0/0x3f0
[ 127.418618] kthread+0xf0/0x120
[ 127.418619] ? kthread_complete_and_exit+0x20/0x20
[ 127.418620] ret_from_fork+0x22/0x30
[ 127.418622] </TASK>
[ 127.418623] ---[ end trace 0000000000000000 ]---
-80
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@@ -1,80 +0,0 @@
import numpy as np
import pathlib
from hexdump import hexdump
from tinygrad.helpers import colored
from extra.helpers import enable_early_exec
early_exec = enable_early_exec()
from tinygrad.runtime.ops_cl import CLProgram, CLBuffer, ROCM_LLVM_PATH
ENABLE_NON_ASM = False
WMMA = True
DUAL_ALU = True
F32 = True
if ENABLE_NON_ASM:
buf = CLBuffer.fromCPU(np.zeros(10, np.float32))
prg_empty = CLProgram("code", "__kernel void code(__global float *a) { a[0] = 1; }")
asm_real = prg_empty.binary()
with open("/tmp/cc.elf", "wb") as f:
f.write(asm_real)
prg_empty([1], [1], buf, wait=True)
print(buf.toCPU())
print(colored("creating CLBuffer", "green"))
buf = CLBuffer.fromCPU(np.zeros(10, np.float32))
code = open(pathlib.Path(__file__).parent / "prog.s", "r").read()
gen = []
FLOPS = 0
MAX_REG = 251
for j in range(1):
if WMMA:
KY, KX = 4, 4
for y in range(KY):
for x in range(KX):
c = (y*KX+x)*8
a = (KY*KX*8) + y*8
b = (KY*KX*8) + (KY*8) + x*8
gen.append(f"v_wmma_f32_16x16x16_f16 v[{c}:{c+7}], v[{a}:{a+7}], v[{b}:{b+7}], v[{c}:{c+7}]")
FLOPS += 16*8*2
else:
for i in range(0, MAX_REG, 6):
if DUAL_ALU:
if F32:
gen.append(f"v_dual_fmac_f32 v{i+0}, v{i+1}, v{i+2} :: v_dual_fmac_f32 v{i+3}, v{i+4}, v{i+5}")
FLOPS += 4
else:
gen.append(f"v_dual_dot2acc_f32_f16 v{i+0}, v{i+1}, v{i+2} :: v_dual_dot2acc_f32_f16 v{i+3}, v{i+4}, v{i+5}")
FLOPS += 8
else:
assert F32
gen.append(f"v_fmac_f32 v{i+0}, v{i+1}, v{i+2}")
gen.append(f"v_fmac_f32 v{i+3}, v{i+4}, v{i+5}")
code = code.replace("// FLOPS", '\n'.join(gen))
print(code)
# fix: COMGR failed to get code object ISA name. set triple to 'amdgcn-amd-amdhsa'
object = early_exec(([ROCM_LLVM_PATH / "llvm-mc", '--arch=amdgcn', '--mcpu=gfx1100', '--triple=amdgcn-amd-amdhsa', '--filetype=obj', '-'], code.encode("utf-8")))
asm = early_exec(([ROCM_LLVM_PATH / "ld.lld", "/dev/stdin", "-o", "/dev/stdout", "--pie"], object))
with open("/tmp/cc2.o", "wb") as f:
f.write(object)
with open("/tmp/cc2.elf", "wb") as f:
f.write(asm)
print(colored("creating CLProgram", "green"))
prg = CLProgram("code", asm)
print(colored("running program", "green"))
G = 512
FLOPS *= 100000*G*G # loop * global_size
for i in range(3):
tm = prg(buf, global_size=[G//256, G, 1], local_size=[256, 1, 1], wait=True)
print(f"ran in {tm*1e3:.2f} ms, {FLOPS/(tm*1e9):.2f} GFLOPS")
print(colored("transferring buffer", "green"))
print(buf.toCPU())
-80
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@@ -1,80 +0,0 @@
.global _start
_start:
.rodata
.align 0x10
.global code.kd
.type code.kd,STT_OBJECT
# amd_kernel_code_t (must be at 0x440 for kernel_code_entry_byte_offset to be right)
code.kd:
# amd_kernel_..., amd_machine_...
.long 0,0,0,0
# kernel_code_entry_byte_offset, kernel_code_prefetch_byte_offset
.long 0x00000bc0,0x00000000,0x00000000,0x00000000
# kernel_code_prefetch_byte_size, max_scratch_backing_memory_byte_size
.long 0,0,0,0
# compute_pgm_rsrc1, compute_pgm_rsrc2, kernel_code_properties, workitem_private_segment_byte_size
.long 0x60af0000,0x0000009e,0x00000408,0x00000000
# compute_pgm_rsrc1 |= AMD_COMPUTE_PGM_RSRC_ONE_FLOAT_DENORM_MODE_32 | AMD_COMPUTE_PGM_RSRC_ONE_FLOAT_DENORM_MODE_16_64
# compute_pgm_rsrc1 |= AMD_COMPUTE_PGM_RSRC_ONE_ENABLE_DX10_CLAMP | AMD_COMPUTE_PGM_RSRC_ONE_ENABLE_IEEE_MODE
# compute_pgm_rsrc2 |= AMD_COMPUTE_PGM_RSRC_TWO_USER_SGPR_COUNT = 0xF
# compute_pgm_rsrc2 |= AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_X
# kernel_code_properties |= AMD_KERNEL_CODE_PROPERTIES_ENABLE_SGPR_KERNARG_SEGMENT_PTR = 1
# kernel_code_properties |= AMD_KERNEL_CODE_PROPERTIES_RESERVED1 = 1
.text
.global code
.type code,STT_FUNC
code:
# https://llvm.org/docs/AMDGPUUsage.html#initial-kernel-execution-state
# s[0:1] contains the kernarg_address
# TODO: can we use s[2:3] if this was really a wave since we only alloced 2 SGPRs?
s_load_b64 s[2:3], s[0:1], null
s_mov_b32 s8, 0
loop:
s_addk_i32 s8, 1
s_cmp_eq_u32 s8, 100000
// FLOPS
s_cbranch_scc0 loop
# wait for the s_load_b64
s_waitcnt lgkmcnt(0)
v_dual_mov_b32 v0, 4 :: v_dual_mov_b32 v1, 2.0
global_store_b32 v0, v1, s[2:3]
# Deallocate all VGPRs for this wave. Use only when next instruction is S_ENDPGM.
s_sendmsg sendmsg(MSG_DEALLOC_VGPRS)
s_endpgm
s_code_end
.amdgpu_metadata
amdhsa.kernels:
- .args:
- .address_space: global
.name: a
.offset: 0
.size: 8
.type_name: 'float*'
.value_kind: global_buffer
.group_segment_fixed_size: 0
.kernarg_segment_align: 8
.kernarg_segment_size: 8
.language: OpenCL C
.language_version:
- 1
- 2
.max_flat_workgroup_size: 256
.name: code
.private_segment_fixed_size: 0
.sgpr_count: 2
.sgpr_spill_count: 0
.symbol: code.kd
.uses_dynamic_stack: false
.vgpr_count: 256
.vgpr_spill_count: 0
.wavefront_size: 32
amdhsa.target: amdgcn-amd-amdhsa--gfx1100
amdhsa.version:
- 1
- 2
.end_amdgpu_metadata
-11
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@@ -1,11 +0,0 @@
#!/bin/bash
mkdir -p src
cd src
git clone https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface.git -b rocm-5.5.0
git clone https://github.com/RadeonOpenCompute/ROCm-Device-Libs.git -b rocm-5.5.0
git clone https://github.com/RadeonOpenCompute/llvm-project.git -b rocm-5.5.0 --depth 1
git clone https://github.com/RadeonOpenCompute/ROCR-Runtime.git -b rocm-5.5.0
git clone https://github.com/ROCm-Developer-Tools/ROCclr.git -b rocm-5.5.0
git clone https://github.com/RadeonOpenCompute/ROCm-CompilerSupport.git -b rocm-5.5.0
git clone https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime.git -b rocm-5.5.0
cd ../
-69
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@@ -1,69 +0,0 @@
#!/bin/bash
mkdir -p build/debs
cd build
# ROCT-Thunk-Interface (hsakmt)
if [ ! -f debs/hsakmt-roct-dev_5.5.0.99999-local_amd64.deb ]
then
mkdir -p ROCT-Thunk-Interface
cd ROCT-Thunk-Interface
cmake ../../src/ROCT-Thunk-Interface
make -j32 package
cp hsakmt-roct-dev_5.5.0.99999-local_amd64.deb ../debs
cd ../
fi
# build custom LLVM
if [ ! -f llvm-project/bin/clang ]
then
mkdir -p llvm-project
cd llvm-project
cmake -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_PROJECTS="llvm;clang;lld" -DLLVM_TARGETS_TO_BUILD="AMDGPU;X86" ../../src/llvm-project/llvm
make -j32
cd ..
fi
# use custom LLVM
export PATH="$PWD/llvm-project/bin:$PATH"
# ROCm-Device-Libs
if [ ! -f debs/rocm-device-libs_1.0.0.99999-local_amd64.deb ]
then
mkdir -p ROCm-Device-Libs
cd ROCm-Device-Libs
cmake ../../src/ROCm-Device-Libs
make -j32 package
cp rocm-device-libs_1.0.0.99999-local_amd64.deb ../debs
cd ../
fi
# ROCR-Runtime
if [ ! -f debs/hsa-rocr_1.8.0-local_amd64.deb ]
then
mkdir -p ROCR-Runtime
cd ROCR-Runtime
cmake ../../src/ROCR-Runtime/src
make -j32 package
cp hsa-rocr_1.8.0-local_amd64.deb ../debs
cp hsa-rocr-dev_1.8.0-local_amd64.deb ../debs
cd ../
fi
# ROCm-OpenCL-Runtime (needs ROCclr)
if [ ! -f debs/rocm-opencl_2.0.0-local_amd64.deb ]
then
mkdir -p ROCm-OpenCL-Runtime
cd ROCm-OpenCL-Runtime
cmake ../../src/ROCm-OpenCL-Runtime
make -j32 package
cp rocm-opencl_2.0.0-local_amd64.deb ../debs
cp rocm-opencl-dev_2.0.0-local_amd64.deb ../debs
cp rocm-ocl-icd_2.0.0-local_amd64.deb ../debs
fi
# ROCm-CompilerSupport (broken)
#mkdir -p ROCm-CompilerSupport
#cd ROCm-CompilerSupport
#cmake ../../src/ROCm-CompilerSupport/lib/comgr
#make -j32
-14
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@@ -1,14 +0,0 @@
#!/bin/bash
rm amdgpu-install_5.5.50500-1_all.deb
wget https://repo.radeon.com/amdgpu-install/5.5/ubuntu/$(lsb_release -cs)/amdgpu-install_5.5.50500-1_all.deb
sudo dpkg -i amdgpu-install_5.5.50500-1_all.deb
sudo apt-get update
# kernel driver
sudo apt-get install amdgpu-dkms
# for opencl
sudo apt-get install rocm-opencl-runtime
# for HIP
sudo apt-get install hip-runtime-amd rocm-device-libs hip-dev
-11
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@@ -1,11 +0,0 @@
#!/bin/bash -e
clang sniff.cc -Werror -shared -fPIC -I../src/ -I../src/ROCT-Thunk-Interface/include -I../src/ROCm-Device-Libs/ockl/inc -o sniff.so -lstdc++
#AMD_LOG_LEVEL=4 HSAKMT_DEBUG_LEVEL=7 LD_PRELOAD=$PWD/sniff.so /home/tiny/build/HIP-Examples/HIP-Examples-Applications/HelloWorld/HelloWorld
#AMD_LOG_LEVEL=4 LD_PRELOAD=$PWD/sniff.so $HOME/build/HIP-Examples/HIP-Examples-Applications/HelloWorld/HelloWorld
#AMD_LOG_LEVEL=5 LD_PRELOAD=$PWD/sniff.so python3 ../rdna3/asm.py
DEBUG=5 LD_PRELOAD=$PWD/sniff.so python3 ../rdna3/asm.py
#AMD_LOG_LEVEL=5 HSAKMT_DEBUG_LEVEL=7 DEBUG=5 LD_PRELOAD=$PWD/sniff.so strace -F python3 ../rdna3/asm.py
#LD_PRELOAD=$PWD/sniff.so python3 ../rdna3/asm.py
#AMD_LOG_LEVEL=4 LD_PRELOAD=$PWD/sniff.so FORWARD_ONLY=1 DEBUG=2 python3 ../../../test/test_ops.py TestOps.test_add
#AMD_LOG_LEVEL=4 HSAKMT_DEBUG_LEVEL=7 LD_PRELOAD=$PWD/sniff.so rocm-bandwidth-test -s 0 -d 1 -m 1
#AMD_LOG_LEVEL=4 HSAKMT_DEBUG_LEVEL=7 LD_PRELOAD=$PWD/sniff.so rocm-bandwidth-test -s 1 -d 2 -m 1
-282
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@@ -1,282 +0,0 @@
// template copied from https://github.com/geohot/cuda_ioctl_sniffer/blob/master/sniff.cc
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <dlfcn.h>
#include <signal.h>
#include <ucontext.h>
#include <sys/mman.h>
// includes from the ROCm sources
#include <linux/kfd_ioctl.h>
#include <hsa.h>
#include <amd_hsa_kernel_code.h>
#include <ROCR-Runtime/src/core/inc/sdma_registers.h>
using namespace rocr::AMD;
#include <string>
#include <map>
std::map<int, std::string> files;
std::map<uint64_t, uint64_t> ring_base_addresses;
#define D(args...) fprintf(stderr, args)
uint64_t doorbell_offset = -1;
std::map<uint64_t, int> queue_types;
void hexdump(void *d, int l) {
for (int i = 0; i < l; i++) {
if (i%0x10 == 0 && i != 0) printf("\n");
if (i%0x10 == 8) printf(" ");
if (i%0x10 == 0) printf("%8X: ", i);
printf("%2.2X ", ((uint8_t*)d)[i]);
}
printf("\n");
}
extern "C" {
// https://defuse.ca/online-x86-assembler.htm#disassembly2
static void handler(int sig, siginfo_t *si, void *unused) {
ucontext_t *u = (ucontext_t *)unused;
uint8_t *rip = (uint8_t*)u->uc_mcontext.gregs[REG_RIP];
int store_size = 0;
uint64_t value;
if (rip[0] == 0x48 && rip[1] == 0x89 && rip[2] == 0x30) {
// 0: 48 89 30 mov QWORD PTR [rax],rsi
store_size = 8;
value = u->uc_mcontext.gregs[REG_RSI];
u->uc_mcontext.gregs[REG_RIP] += 3;
} else if (rip[0] == 0x4c && rip[1] == 0x89 && rip[2] == 0x28) {
// 0: 4c 89 28 mov QWORD PTR [rax],r13
store_size = 8;
value = u->uc_mcontext.gregs[REG_R13];
u->uc_mcontext.gregs[REG_RIP] += 3;
} else {
D("segfault %02X %02X %02X %02X %02X %02X %02X %02X rip: %p addr: %p\n", rip[0], rip[1], rip[2], rip[3], rip[4], rip[5], rip[6], rip[7], rip, si->si_addr);
D("rax: %llx rcx: %llx rdx: %llx rsi: %llx rbx: %llx\n", u->uc_mcontext.gregs[REG_RAX], u->uc_mcontext.gregs[REG_RCX], u->uc_mcontext.gregs[REG_RDX], u->uc_mcontext.gregs[REG_RSI], u->uc_mcontext.gregs[REG_RBX]);
exit(-1);
}
uint64_t ring_base_address = ring_base_addresses[((uint64_t)si->si_addr)&0xFFF];
int queue_type = queue_types[((uint64_t)si->si_addr)&0xFFF];
D("%16p: \u001b[31mDING DONG\u001b[0m (queue_type %d) store(%d): 0x%8lx -> %p ring_base_address:0x%lx\n", rip, queue_type, store_size, value, si->si_addr, ring_base_address);
if (queue_type == KFD_IOC_QUEUE_TYPE_SDMA) {
uint8_t *sdma_ptr = (uint8_t*)(ring_base_address);
while (sdma_ptr < ((uint8_t*)(ring_base_address)+value)) {
D("0x%3lx: ", sdma_ptr-(uint8_t*)(ring_base_address));
if (sdma_ptr[0] == SDMA_OP_TIMESTAMP) {
D("SDMA_PKT_TIMESTAMP\n");
sdma_ptr += sizeof(SDMA_PKT_TIMESTAMP);
} else if (sdma_ptr[0] == SDMA_OP_GCR) {
D("SDMA_PKT_GCR\n");
sdma_ptr += sizeof(SDMA_PKT_GCR);
} else if (sdma_ptr[0] == SDMA_OP_ATOMIC) {
D("SDMA_PKT_ATOMIC\n");
sdma_ptr += sizeof(SDMA_PKT_ATOMIC);
} else if (sdma_ptr[0] == SDMA_OP_FENCE) {
D("SDMA_PKT_FENCE\n");
sdma_ptr += sizeof(SDMA_PKT_FENCE);
} else if (sdma_ptr[0] == SDMA_OP_TRAP) {
D("SDMA_PKT_TRAP\n");
sdma_ptr += sizeof(SDMA_PKT_TRAP);
} else if (sdma_ptr[0] == SDMA_OP_COPY && sdma_ptr[1] == SDMA_SUBOP_COPY_LINEAR) {
SDMA_PKT_COPY_LINEAR *pkt = (SDMA_PKT_COPY_LINEAR *)sdma_ptr;
D("SDMA_PKT_COPY_LINEAR: count:0x%x src:0x%lx dst:0x%lx\n", pkt->COUNT_UNION.count+1,
(uint64_t)pkt->SRC_ADDR_LO_UNION.src_addr_31_0 | ((uint64_t)pkt->SRC_ADDR_HI_UNION.src_addr_63_32 << 32),
(uint64_t)pkt->DST_ADDR_LO_UNION.dst_addr_31_0 | ((uint64_t)pkt->DST_ADDR_HI_UNION.dst_addr_63_32 << 32)
);
sdma_ptr += sizeof(SDMA_PKT_COPY_LINEAR);
} else {
D("unhandled packet type %d %d, exiting\n", sdma_ptr[0], sdma_ptr[1]);
break;
}
}
//hexdump((void*)(ring_base_address), 0x100);
} else if (queue_type == KFD_IOC_QUEUE_TYPE_COMPUTE_AQL) {
hsa_kernel_dispatch_packet_t *pkt = (hsa_kernel_dispatch_packet_t *)(ring_base_address+value*0x40);
if ((pkt->header&0xFF) == HSA_PACKET_TYPE_KERNEL_DISPATCH) {
D("HSA_PACKET_TYPE_KERNEL_DISPATCH -- setup:%d workgroup[%d, %d, %d] grid[%d, %d, %d] kernel_object:0x%lx kernarg_address:%p\n", pkt->setup, pkt->workgroup_size_x, pkt->workgroup_size_y, pkt->workgroup_size_z, pkt->grid_size_x, pkt->grid_size_y, pkt->grid_size_z, pkt->kernel_object, pkt->kernarg_address);
amd_kernel_code_t *code = (amd_kernel_code_t *)pkt->kernel_object;
D("kernel_code_entry_byte_offset:%lx\n", code->kernel_code_entry_byte_offset);
uint32_t *kernel_code = (uint32_t*)(pkt->kernel_object + code->kernel_code_entry_byte_offset);
int code_len = 0;
while (kernel_code[code_len] != 0xbf9f0000 && kernel_code[code_len] != 0) code_len++;
hexdump(kernel_code, code_len*4);
/*FILE *f = fopen("/tmp/kernel_code", "wb");
fwrite(kernel_code, 4, code_len, f);
fclose(f);
system("python -c 'print(\" \".join([(\"0x%02X\"%x) for x in open(\"/tmp/kernel_code\", \"rb\").read()]))' | ../build/llvm-project/bin/llvm-mc --disassemble --arch=amdgcn --mcpu=gfx1100 --show-encoding");*/
D("kernargs (kernarg_segment_byte_size:0x%lx)\n", code->kernarg_segment_byte_size);
// get length
int i;
for (i = 0; i < 0x400; i+=0x10) {
if (memcmp((void*)((uint64_t)pkt->kernarg_address+i), "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00", 0x10) == 0) break;
}
hexdump((void*)pkt->kernarg_address, i+0x10);
} else if ((pkt->header&0xFF) == HSA_PACKET_TYPE_BARRIER_AND) {
hsa_barrier_and_packet_t *pkt_and = (hsa_barrier_and_packet_t *)(ring_base_address+value*0x40);
D("HSA_PACKET_TYPE_BARRIER_AND completion_signal:0x%lx\n", pkt_and->completion_signal.handle);
//hexdump((void*)(ring_base_address+value*0x40), 0x40);
} else if ((pkt->header&0xFF) == HSA_PACKET_TYPE_VENDOR_SPECIFIC) {
D("HSA_PACKET_TYPE_VENDOR_SPECIFIC\n");
hexdump((void*)(ring_base_address+value*0x40), 0x40);
} else {
hexdump((void*)(ring_base_address+value*0x40), 0x40);
}
}
mprotect((void *)((uint64_t)si->si_addr & ~0xFFF), 0x2000, PROT_READ | PROT_WRITE);
if (store_size == 8) {
*(volatile uint64_t*)(si->si_addr) = value;
} else if (store_size == 4) {
*(volatile uint32_t*)(si->si_addr) = value;
} else if (store_size == 2) {
*(volatile uint16_t*)(si->si_addr) = value;
} else {
D("store size not supported\n");
exit(-1);
}
mprotect((void *)((uint64_t)si->si_addr & ~0xFFF), 0x2000, PROT_NONE);
}
void register_sigsegv_handler() {
struct sigaction sa = {0};
sa.sa_flags = SA_SIGINFO;
sigemptyset(&sa.sa_mask);
sa.sa_sigaction = handler;
if (sigaction(SIGSEGV, &sa, NULL) == -1) {
D("ERROR: failed to register sigsegv handler");
exit(-1);
}
// NOTE: python (or ocl runtime?) blocks the SIGSEGV signal
sigset_t x;
sigemptyset(&x);
sigaddset(&x, SIGSEGV);
sigprocmask(SIG_UNBLOCK, &x, NULL);
}
int (*my_open)(const char *pathname, int flags, mode_t mode);
#undef open
int open(const char *pathname, int flags, mode_t mode) {
if (my_open == NULL) my_open = reinterpret_cast<decltype(my_open)>(dlsym(RTLD_NEXT, "open"));
int ret = my_open(pathname, flags, mode);
//D("open %s (0o%o) = %d\n", pathname, flags, ret);
files[ret] = pathname;
return ret;
}
int (*my_open64)(const char *pathname, int flags, mode_t mode);
#undef open
int open64(const char *pathname, int flags, mode_t mode) {
if (my_open64 == NULL) my_open64 = reinterpret_cast<decltype(my_open64)>(dlsym(RTLD_NEXT, "open64"));
int ret = my_open64(pathname, flags, mode);
//D("open %s (0o%o) = %d\n", pathname, flags, ret);
files[ret] = pathname;
return ret;
}
void *(*my_mmap)(void *addr, size_t length, int prot, int flags, int fd, off_t offset);
#undef mmap
void *mmap(void *addr, size_t length, int prot, int flags, int fd, off_t offset) {
if (my_mmap == NULL) my_mmap = reinterpret_cast<decltype(my_mmap)>(dlsym(RTLD_NEXT, "mmap"));
void *ret = my_mmap(addr, length, prot, flags, fd, offset);
if (doorbell_offset != -1 && offset == doorbell_offset) {
D("HIDDEN DOORBELL %p, handled by %p\n", addr, handler);
register_sigsegv_handler();
mprotect(addr, length, PROT_NONE);
}
if (fd != -1) D("mmapped %p (target %p) with flags 0x%x length 0x%zx fd %d %s offset 0x%lx\n", ret, addr, flags, length, fd, files[fd].c_str(), offset);
return ret;
}
void *(*my_mmap64)(void *addr, size_t length, int prot, int flags, int fd, off_t offset);
#undef mmap64
void *mmap64(void *addr, size_t length, int prot, int flags, int fd, off_t offset) { return mmap(addr, length, prot, flags, fd, offset); }
int ioctl_num = 1;
int (*my_ioctl)(int filedes, unsigned long request, void *argp) = NULL;
#undef ioctl
int ioctl(int filedes, unsigned long request, void *argp) {
if (my_ioctl == NULL) my_ioctl = reinterpret_cast<decltype(my_ioctl)>(dlsym(RTLD_NEXT, "ioctl"));
int ret = 0;
ret = my_ioctl(filedes, request, argp);
if (!files.count(filedes)) return ret;
uint8_t type = (request >> 8) & 0xFF;
uint8_t nr = (request >> 0) & 0xFF;
uint16_t size = (request >> 16) & 0xFFF;
D("%3d: %d = %3d(%20s) 0x%3x ", ioctl_num, ret, filedes, files[filedes].c_str(), size);
if (request == AMDKFD_IOC_SET_EVENT) {
kfd_ioctl_set_event_args *args = (kfd_ioctl_set_event_args *)argp;
D("AMDKFD_IOC_SET_EVENT event_id:%d", args->event_id);
} else if (request == AMDKFD_IOC_ALLOC_MEMORY_OF_GPU) {
kfd_ioctl_alloc_memory_of_gpu_args *args = (kfd_ioctl_alloc_memory_of_gpu_args *)argp;
D("AMDKFD_IOC_ALLOC_MEMORY_OF_GPU va_addr:0x%llx size:0x%llx handle:%llX gpu_id:0x%x", args->va_addr, args->size, args->handle, args->gpu_id);
} else if (request == AMDKFD_IOC_MAP_MEMORY_TO_GPU) {
kfd_ioctl_map_memory_to_gpu_args *args = (kfd_ioctl_map_memory_to_gpu_args *)argp;
D("AMDKFD_IOC_MAP_MEMORY_TO_GPU handle:%llX", args->handle);
} else if (request == AMDKFD_IOC_CREATE_EVENT) {
kfd_ioctl_create_event_args *args = (kfd_ioctl_create_event_args *)argp;
D("AMDKFD_IOC_CREATE_EVENT event_page_offset:0x%llx event_type:%d event_id:%d", args->event_page_offset, args->event_type, args->event_id);
} else if (request == AMDKFD_IOC_WAIT_EVENTS) {
D("AMDKFD_IOC_WAIT_EVENTS");
} else if (request == AMDKFD_IOC_SET_XNACK_MODE) {
D("AMDKFD_IOC_SET_XNACK_MODE");
} else if (request == AMDKFD_IOC_SVM || (type == 0x4b && nr == 0x20)) {
// NOTE: this one is variable length
kfd_ioctl_svm_args *args = (kfd_ioctl_svm_args *)argp;
D("AMDKFD_IOC_SVM start_addr:0x%llx size:0x%llx op:%d", args->start_addr, args->size, args->op);
} else if (request == AMDKFD_IOC_UNMAP_MEMORY_FROM_GPU) {
kfd_ioctl_unmap_memory_from_gpu_args *args = (kfd_ioctl_unmap_memory_from_gpu_args *)argp;
D("AMDKFD_IOC_UNMAP_MEMORY_FROM_GPU handle:%llX", args->handle);
} else if (request == AMDKFD_IOC_FREE_MEMORY_OF_GPU) {
D("AMDKFD_IOC_FREE_MEMORY_OF_GPU");
} else if (request == AMDKFD_IOC_SET_SCRATCH_BACKING_VA) {
D("AMDKFD_IOC_SET_SCRATCH_BACKING_VA");
} else if (request == AMDKFD_IOC_GET_TILE_CONFIG) {
D("AMDKFD_IOC_GET_TILE_CONFIG");
} else if (request == AMDKFD_IOC_SET_TRAP_HANDLER) {
D("AMDKFD_IOC_SET_TRAP_HANDLER");
} else if (request == AMDKFD_IOC_GET_VERSION) {
kfd_ioctl_get_version_args *args = (kfd_ioctl_get_version_args *)argp;
D("AMDKFD_IOC_GET_VERSION major_version:%d minor_version:%d", args->major_version, args->minor_version);
} else if (request == AMDKFD_IOC_GET_PROCESS_APERTURES_NEW) {
D("AMDKFD_IOC_GET_PROCESS_APERTURES_NEW");
} else if (request == AMDKFD_IOC_ACQUIRE_VM) {
D("AMDKFD_IOC_ACQUIRE_VM");
} else if (request == AMDKFD_IOC_SET_MEMORY_POLICY) {
D("AMDKFD_IOC_SET_MEMORY_POLICY");
} else if (request == AMDKFD_IOC_GET_CLOCK_COUNTERS) {
D("AMDKFD_IOC_GET_CLOCK_COUNTERS");
} else if (request == AMDKFD_IOC_CREATE_QUEUE) {
kfd_ioctl_create_queue_args *args = (kfd_ioctl_create_queue_args *)argp;
D("AMDKFD_IOC_CREATE_QUEUE\n");
D("queue_type:%d ring_base_address:0x%llx\n", args->queue_type, args->ring_base_address);
D("eop_buffer_address:0x%llx ctx_save_restore_address:0x%llx\n", args->eop_buffer_address, args->ctx_save_restore_address);
D("ring_size:0x%x queue_priority:%d\n", args->ring_size, args->queue_priority);
D("RETURNS write_pointer_address:0x%llx read_pointer_address:0x%llx doorbell_offset:0x%llx queue_id:%d\n", args->write_pointer_address, args->read_pointer_address, args->doorbell_offset, args->queue_id);
//D("RETURNS *write_pointer_address:0x%llx *read_pointer_address:0x%llx\n", *(uint64_t*)args->write_pointer_address, *(uint64_t*)args->read_pointer_address);
ring_base_addresses[args->doorbell_offset&0xFFF] = args->ring_base_address;
queue_types[args->doorbell_offset&0xFFF] = args->queue_type;
doorbell_offset = args->doorbell_offset&~0xFFF;
} else {
D("type:0x%x nr:0x%x size:0x%x", type, nr, size);
}
D("\n");
ioctl_num++;
return ret;
}
}
-1
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@@ -1,3 +1,2 @@
*.s
*.ll
fp32_sgemm_amd
File diff suppressed because it is too large Load Diff
+72
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@@ -0,0 +1,72 @@
# Run assembly on the AMD runtime and check correctness
# VIZ=2 to profile
import pathlib
from tinygrad import Tensor, Device, dtypes
from tinygrad.engine.realize import ExecItem, CompiledRunner
from tinygrad.renderer import ProgramSpec
from tinygrad.uop.ops import track_rewrites, UOp
from tinygrad.helpers import TracingKey, getenv
fp = pathlib.Path(__file__).parent/"gemm.s"
N = getenv("N", 8192)
THREADS_PER_WG = 256
NUM_WG = N//THREADS_PER_WG * N//THREADS_PER_WG
assert N % THREADS_PER_WG == 0, "N must be divisible by THREADS_PER_WG"
# ** generate inputs on CPU
scale = 10.0
import torch
torch.manual_seed(0)
A = (torch.randn(N, N, dtype=torch.float32, device="cpu") / scale).to(torch.bfloat16).contiguous()
B = (torch.randn(N, N, dtype=torch.float32, device="cpu") / scale).to(torch.bfloat16).contiguous()
Bt = B.t().contiguous() # transpose B for the baseline gemm
C_torch = A@Bt
# ** copy buffers to AMD
# input creation and validation run on the copy engine for simpler tracing
def from_torch(t:torch.Tensor) -> Tensor:
return Tensor.from_blob(t.data_ptr(), t.shape, dtype=dtypes.bfloat16, device="cpu").to(Device.DEFAULT).realize()
C_tiny = Tensor.matmul(from_torch(A), from_torch(Bt), dtype=dtypes.float32).cast(dtypes.bfloat16)
C_asm = Tensor.empty_like(C_tiny)
C_asm.uop.buffer.allocate()
# ** run gemms
# baseline tinygrad
sched = C_tiny.schedule()
assert len(sched) == 1
eis:list[ExecItem] = [sched[-1].lower()]
ast = sched[-1].ast
# assembly gemm
@track_rewrites(name=lambda ret: TracingKey(ret.name, (ret.function_name,), ret))
def get_asm_prg() -> ProgramSpec:
src = fp.read_text()
lib = Device[Device.DEFAULT].compiler.compile(src)
return ProgramSpec("gemm", src, Device.DEFAULT, ast, lib=lib, global_size=[NUM_WG, 1, 1], local_size=[THREADS_PER_WG, 1, 1],
globals=[0, 1, 2], vars=[UOp.variable("SZ", 256, 8192), UOp.variable("NUM_WG", 1, 1024)])
eis.append(ExecItem(ast, [C_asm.uop.buffer, from_torch(B).uop.buffer, from_torch(A).uop.buffer], fixedvars={"SZ":N, "NUM_WG":NUM_WG},
prg=CompiledRunner(get_asm_prg())))
for ei in eis:
et = ei.run(wait=True)
print(f"{(N*N*N*2 / et)*1e-12:.2f} REAL TFLOPS")
# ** correctness
import ctypes
def torch_bf16(t:Tensor) -> torch.tensor:
asm_out = t.to("cpu").realize().uop.buffer._buf
buf = (ctypes.c_uint16*C_asm.uop.size).from_address(asm_out.va_addr)
return torch.frombuffer(buf, dtype=torch.bfloat16, count=C_asm.uop.size).reshape(C_asm.shape)
assert torch.allclose(torch_bf16(C_asm), C_torch, rtol=1e-2, atol=1e-3)
assert torch.allclose(torch_bf16(C_tiny), C_torch, rtol=1e-2, atol=1e-3)
+179
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@@ -0,0 +1,179 @@
# unpack the complete kernel descriptor of an amdgpu ELF of for gfx950
# https://rocm.docs.amd.com/projects/llvm-project/en/latest/LLVM/llvm/html/AMDGPUUsage.html#code-object-v3-kernel-descriptor
import struct, pathlib
from tinygrad.runtime.support.elf import elf_loader
def bits(x, lo, hi): return (x >> lo) & ((1 << (hi - lo + 1)) - 1)
def assert_zero(x, lo, hi): assert bits(x, lo, hi) == 0
with open(fp:=pathlib.Path(__file__).parent/"lib", "rb") as f:
lib = f.read()
image, sections, relocs = elf_loader(lib)
rodata_entry = next((sh.header.sh_addr for sh in sections if sh.name == ".rodata"))
# rodata is exactly 64 bytes
kd = image[rodata_entry:rodata_entry+64]
desc = int.from_bytes(kd, byteorder="little")
group_segment_fixed_size = bits(desc, 0, 31)
private_segment_fixed_size = bits(desc, 32, 63)
kernarg_size = bits(desc, 64, 95)
reserved_127_96 = bits(desc, 96, 127)
assert reserved_127_96 == 0
print("GROUP_SEGMENT_FIXED_SIZE:", group_segment_fixed_size)
print("PRIVATE_SEGMENT_FIXED_SIZE:", private_segment_fixed_size)
print("KERNARG_SIZE:", kernarg_size)
print("RESERVED 127:96:", reserved_127_96)
entry_off = bits(desc, 128, 191)
# sign-extend manually if needed
if entry_off & (1 << 63):
entry_off -= 1 << 64
print("KERNEL_CODE_ENTRY_BYTE_OFFSET:", entry_off)
kd_addr = 0x1840
entry_addr = kd_addr + entry_off
print("Computed entry address: 0x%016x" % entry_addr)
print("256B aligned:", entry_addr % 256 == 0)
pgm_rsrc3 = bits(desc, 352, 383)
pgm_rsrc1 = bits(desc, 384, 415)
pgm_rsrc2 = bits(desc, 416, 447)
print("COMPUTE_PGM_RSRC3: 0x%08x" % pgm_rsrc3)
print("COMPUTE_PGM_RSRC1: 0x%08x" % pgm_rsrc1)
print("COMPUTE_PGM_RSRC2: 0x%08x" % pgm_rsrc2)
# rsrc 3
accum_offset_raw = bits(pgm_rsrc3, 0, 5)
assert_zero(pgm_rsrc3, 6, 15)
tg_split = bits(pgm_rsrc3, 16, 16)
accum_offset_vgprs = (accum_offset_raw + 1) * 4
print("RSRC3.ACCUM_OFFSET (AccVGPR index):", accum_offset_vgprs)
print("RSRC3.TG_SPLIT:", tg_split)
# rsrc 1
vgpr_gran = bits(pgm_rsrc1, 0, 5)
sgpr_gran = bits(pgm_rsrc1, 6, 9)
assert_zero(pgm_rsrc1, 27, 28)
# NOTE: this is vgprs + agprs
vgprs_used = (vgpr_gran + 1) * 8
assert 0 <= vgprs_used <= 512
k = sgpr_gran // 2
sgprs_used = (k + 1) * 16
print("RSRC1.VGPRS:", vgprs_used)
print("RSRC1.SGPRS:", sgprs_used)
assert_zero(pgm_rsrc1, 10, 11)
float_round_mode_32 = bits(pgm_rsrc1, 12, 13)
float_round_mode_16_64 = bits(pgm_rsrc1, 15, 14)
float_denorm_mode_32 = bits(pgm_rsrc1, 16, 17)
float_denorm_mode_16_64 = bits(pgm_rsrc1, 18, 19)
priv = bits(pgm_rsrc1, 20, 20)
assert priv == 0
enable_dx10_clamp_wg_rr_en = bits(pgm_rsrc1, 21, 21)
debug_mode = bits(pgm_rsrc1, 22, 22)
enable_ieee_mode = bits(pgm_rsrc1, 23, 23)
bulky = bits(pgm_rsrc1, 24, 24)
assert bulky == 0
cdbg_user = bits(pgm_rsrc1, 25, 25)
assert cdbg_user == 0
fp16_ovfl = bits(pgm_rsrc1, 26, 26)
assert_zero(pgm_rsrc1, 27, 28) # reserved
assert_zero(pgm_rsrc1, 29, 29) # WGP_MODE (reserved on gfx9)
assert_zero(pgm_rsrc1, 30, 30) # MEM_ORDERED (reserved on gfx9)
assert_zero(pgm_rsrc1, 31, 31) # FWD_PROGRESS (reserved on gfx9)
# rsrc 2
enable_private_segment = bits(pgm_rsrc2, 0, 0) # SCRATCH_EN
user_sgpr_count = bits(pgm_rsrc2, 1, 5) # USER_SGPR
enable_trap_handler = bits(pgm_rsrc2, 6, 6) # TRAP_PRESENT (must be 0 here)
assert enable_trap_handler == 0
enable_sgpr_workgroup_id_x = bits(pgm_rsrc2, 7, 7)
enable_sgpr_workgroup_id_y = bits(pgm_rsrc2, 8, 8)
enable_sgpr_workgroup_id_z = bits(pgm_rsrc2, 9, 9)
enable_sgpr_workgroup_info = bits(pgm_rsrc2, 10, 10)
enable_vgpr_workitem_id = bits(pgm_rsrc2, 11, 12) # TIDIG_CMP_CNT enum (0..3)
enable_exception_address_watch = bits(pgm_rsrc2, 13, 13)
assert enable_exception_address_watch == 0
enable_exception_memory = bits(pgm_rsrc2, 14, 14)
assert enable_exception_memory == 0
granulated_lds_size = bits(pgm_rsrc2, 15, 23)
assert granulated_lds_size == 0 # spec: must be 0; CP uses dispatch packet rounding
enable_exception_fp_invalid = bits(pgm_rsrc2, 24, 24)
enable_exception_fp_denorm_src = bits(pgm_rsrc2, 25, 25)
enable_exception_fp_div0 = bits(pgm_rsrc2, 26, 26)
enable_exception_fp_overflow = bits(pgm_rsrc2, 27, 27)
enable_exception_fp_underflow = bits(pgm_rsrc2, 28, 28)
enable_exception_fp_inexact = bits(pgm_rsrc2, 29, 29)
enable_exception_int_div0 = bits(pgm_rsrc2, 30, 30)
assert_zero(pgm_rsrc2, 31, 31)
print("RSRC2.ENABLE_PRIVATE_SEGMENT:", enable_private_segment)
print("RSRC2.USER_SGPR_COUNT:", user_sgpr_count)
print("RSRC2.ENABLE_SGPR_WORKGROUP_ID_X:", enable_sgpr_workgroup_id_x)
print("RSRC2.ENABLE_SGPR_WORKGROUP_ID_Y:", enable_sgpr_workgroup_id_y)
print("RSRC2.ENABLE_SGPR_WORKGROUP_ID_Z:", enable_sgpr_workgroup_id_z)
print("RSRC2.ENABLE_SGPR_WORKGROUP_INFO:", enable_sgpr_workgroup_info)
print("RSRC2.ENABLE_VGPR_WORKITEM_ID (enum):", enable_vgpr_workitem_id)
print("RSRC2.EXC_FP_INVALID:", enable_exception_fp_invalid)
print("RSRC2.EXC_FP_DENORM_SRC:", enable_exception_fp_denorm_src)
print("RSRC2.EXC_FP_DIV0:", enable_exception_fp_div0)
print("RSRC2.EXC_FP_OVERFLOW:", enable_exception_fp_overflow)
print("RSRC2.EXC_FP_UNDERFLOW:", enable_exception_fp_underflow)
print("RSRC2.EXC_FP_INEXACT:", enable_exception_fp_inexact)
print("RSRC2.EXC_INT_DIV0:", enable_exception_int_div0)
# user sgprs
enable_sgpr_private_segment_buffer = bits(desc, 448, 448)
enable_sgpr_dispatch_ptr = bits(desc, 449, 449)
enable_sgpr_queue_ptr = bits(desc, 450, 450)
enable_sgpr_kernarg_segment_ptr = bits(desc, 451, 451)
enable_sgpr_dispatch_id = bits(desc, 452, 452)
enable_sgpr_flat_scratch_init = bits(desc, 453, 453)
enable_sgpr_private_segment_size = bits(desc, 454, 454)
assert_zero(desc, 455, 457)
print("DESC.ENABLE_SGPR_PRIVATE_SEGMENT_BUFFER:", enable_sgpr_private_segment_buffer)
print("DESC.ENABLE_SGPR_DISPATCH_PTR:", enable_sgpr_dispatch_ptr)
print("DESC.ENABLE_SGPR_QUEUE_PTR:", enable_sgpr_queue_ptr)
print("DESC.ENABLE_SGPR_KERNARG_SEGMENT_PTR:", enable_sgpr_kernarg_segment_ptr)
print("DESC.ENABLE_SGPR_DISPATCH_ID:", enable_sgpr_dispatch_id)
print("DESC.ENABLE_SGPR_FLAT_SCRATCH_INIT:", enable_sgpr_flat_scratch_init)
print("DESC.ENABLE_SGPR_PRIVATE_SEGMENT_SIZE:", enable_sgpr_private_segment_size)
assert_zero(desc, 458, 459)
uses_dynamic_stack = bits(desc, 459, 460)
print("DESC.USES_DYNAMIC_STACK:", uses_dynamic_stack)
assert_zero(desc, 460, 463)
kernarg_preload_spec_length = bits(desc, 464, 470)
print("DESC.KERNARG_PRELOAD_SPEC_LENGTH:", kernarg_preload_spec_length)
kernarg_preload_spec_offset = bits(desc, 471, 479)
print("DESC.KERNARG_PRELOAD_SPEC_OFFSET:", kernarg_preload_spec_offset)
assert_zero(desc, 480, 511)
+5
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@@ -245,6 +245,11 @@ def convert_from_huggingface(weights:dict[str, Tensor], n_layers: int, n_heads:
continue
sd[keymap[k]] = v
for k,v in experts.items(): sd[k] = Tensor.stack(*[v[i] for i in range(len(v))])
# Handle tied embeddings (e.g., Llama 3.2 1B Instruct where lm_head shares weights with embed_tokens)
if "output.weight" not in sd and "tok_embeddings.weight" in sd:
sd["output.weight"] = sd["tok_embeddings.weight"]
return sd
def convert_from_gguf(weights:dict[str, Tensor], n_layers:int):
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@@ -1,114 +0,0 @@
import os, sys, sqlite3, pickle, random
from tqdm import tqdm, trange
from copy import deepcopy
from tinygrad.nn import Linear
from tinygrad.tensor import Tensor
from tinygrad.nn.optim import Adam
from tinygrad.nn.state import get_parameters, get_state_dict, safe_save, safe_load, load_state_dict
from tinygrad.codegen.opt.search import actions
from extra.optimization.helpers import load_worlds, ast_str_to_lin, lin_to_feats, assert_same_lin
from tinygrad.codegen.opt.kernel import Kernel
from tinygrad.helpers import getenv
# stuff needed to unpack a kernel
from tinygrad.uop.ops import LazyOp, TernaryOps, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer
from tinygrad.dtype import dtypes
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
from tinygrad.uop.ops import Variable
inf, nan = float('inf'), float('nan')
from tinygrad.codegen.opt.kernel import Opt, OptOps
INNER = 256
class PolicyNet:
def __init__(self):
self.l1 = Linear(1021,INNER)
self.l2 = Linear(INNER,INNER)
self.l3 = Linear(INNER,1+len(actions))
def __call__(self, x):
x = self.l1(x).relu()
x = self.l2(x).relu().dropout(0.9)
return self.l3(x).log_softmax()
def dataset_from_cache(fn):
conn = sqlite3.connect(fn)
cur = conn.cursor()
cur.execute("SELECT * FROM beam_search")
X,A = [], []
for f in tqdm(cur.fetchall()):
Xs,As = [], []
try:
lin = Kernel(eval(f[0]))
opts = pickle.loads(f[-1])
for o in opts:
Xs.append(lin_to_feats(lin, use_sts=True))
As.append(actions.index(o))
lin.apply_opt(o)
Xs.append(lin_to_feats(lin, use_sts=True))
As.append(0)
except Exception:
pass
X += Xs
A += As
return X,A
if __name__ == "__main__":
if getenv("REGEN"):
X,V = dataset_from_cache(sys.argv[1] if len(sys.argv) > 1 else "/tmp/tinygrad_cache")
safe_save({"X": Tensor(X), "V": Tensor(V)}, "/tmp/dataset_policy")
else:
ld = safe_load("/tmp/dataset_policy")
X,V = ld['X'].numpy(), ld['V'].numpy()
print(X.shape, V.shape)
order = list(range(X.shape[0]))
random.shuffle(order)
X, V = X[order], V[order]
ratio = -256
X_test, V_test = Tensor(X[ratio:]), Tensor(V[ratio:])
X,V = X[:ratio], V[:ratio]
print(X.shape, V.shape)
net = PolicyNet()
#if os.path.isfile("/tmp/policynet.safetensors"): load_state_dict(net, safe_load("/tmp/policynet.safetensors"))
optim = Adam(get_parameters(net))
def get_minibatch(X,Y,bs):
xs, ys = [], []
for _ in range(bs):
sel = random.randint(0, len(X)-1)
xs.append(X[sel])
ys.append(Y[sel])
return Tensor(xs), Tensor(ys)
Tensor.training = True
losses = []
test_losses = []
test_accuracy = 0
test_loss = float('inf')
for i in (t:=trange(500)):
x,y = get_minibatch(X,V,bs=256)
out = net(x)
loss = out.sparse_categorical_crossentropy(y)
optim.zero_grad()
loss.backward()
optim.step()
cat = out.argmax(axis=-1)
accuracy = (cat == y).mean()
t.set_description(f"loss {loss.numpy():7.2f} accuracy {accuracy.numpy()*100:7.2f}%, test loss {test_loss:7.2f} test accuracy {test_accuracy*100:7.2f}%")
losses.append(loss.numpy().item())
test_losses.append(test_loss)
if i % 10:
out = net(X_test)
test_loss = out.sparse_categorical_crossentropy(V_test).square().mean().numpy().item()
cat = out.argmax(axis=-1)
test_accuracy = (cat == y).mean().numpy()
safe_save(get_state_dict(net), "/tmp/policynet.safetensors")
import matplotlib.pyplot as plt
plt.plot(losses[10:])
plt.plot(test_losses[10:])
plt.show()
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@@ -1,129 +0,0 @@
import sys, sqlite3, pickle, math
from collections import defaultdict
from tqdm import tqdm, trange
import numpy as np
# stuff needed to unpack a kernel
from tinygrad.uop.ops import LazyOp, TernaryOps, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer
from tinygrad.dtype import dtypes
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
from tinygrad.uop.ops import Variable
inf, nan = float('inf'), float('nan')
from tinygrad.codegen.opt.kernel import Opt, OptOps
# more stuff
from tinygrad.codegen.opt.kernel import Kernel
from tinygrad.codegen.opt.search import actions
from extra.optimization.helpers import lin_to_feats
from extra.optimization.pretrain_valuenet import ValueNet
from tinygrad.nn.optim import Adam
from tinygrad.nn.state import get_parameters, get_state_dict, safe_save, safe_load, load_state_dict
import random
from tinygrad.tensor import Tensor
from tinygrad.helpers import getenv
def dataset_from_cache(fn):
conn = sqlite3.connect(fn)
cur = conn.cursor()
cur.execute("SELECT * FROM time_linearizer")
grouped = defaultdict(dict)
for f in tqdm(cur.fetchall()): grouped[f[0]][f[1:-1]] = pickle.loads(f[-1])
opts_to_outcome = {}
for ast,sk in grouped.items():
cnts = defaultdict(int)
for sks,tm in sk.items():
if sks[1] != 1: continue
opts = eval(sks[0])
cnts[(len(opts), sks[1])] += 1
opts_to_outcome[(ast, tuple(opts))] = tm
#print(cnts)
S,A,V = [], [], []
for ast,k in tqdm(opts_to_outcome):
if len(k) == 0: continue
old_tm = min(opts_to_outcome[(ast,k[:-1])])
new_tm = min(opts_to_outcome[(ast,k)])
if math.isinf(old_tm) or math.isinf(new_tm) or old_tm < 1e-9 or new_tm < 1e-9: continue
try:
lin = Kernel(eval(ast))
except Exception:
continue
lin.apply_opts(k[:-1])
act = k[-1]
log_ratio = math.log(old_tm/new_tm)
#print(f"ratio: {old_tm/new_tm:6.2f}x (log {log_ratio:5.2f}) from {str(act):50s} on {lin.colored_shape()}")
S.append(lin_to_feats(lin, use_sts=True))
A.append(actions.index(act))
V.append([log_ratio]) # NOTE: i have written the bug many times with this having the wrong dim
S, A, V = np.array(S), np.array(A), np.array(V, dtype=np.float32)
X = np.zeros((S.shape[0], S.shape[1]+len(actions)), dtype=np.float32)
X[:, :S.shape[1]] = S
X[range(S.shape[0]), S.shape[1]+A] = 1.0
return X, V
def log_likelihood(x:Tensor, mu:Tensor, log_sigma:Tensor):
#print(x.shape, mu.shape, log_sigma.shape)
#return (x-mu).abs() * (-log_sigma).exp() + log_sigma
return (x-mu).square() * (-2*log_sigma).exp() / 2 + log_sigma
if __name__ == "__main__":
if getenv("REGEN"):
X,V = dataset_from_cache(sys.argv[1] if len(sys.argv) > 1 else "/tmp/tinygrad_cache")
safe_save({"X": Tensor(X), "V": Tensor(V)}, "/tmp/dataset")
else:
ld = safe_load("/tmp/dataset")
X,V = ld['X'].numpy(), ld['V'].numpy()
print(X.shape, V.shape)
order = list(range(X.shape[0]))
random.shuffle(order)
X, V = X[order], V[order]
ratio = -512
X_test, V_test = Tensor(X[ratio:]), Tensor(V[ratio:])
X,V = X[:ratio], V[:ratio]
print(X.shape, V.shape)
#print(X[0], V[0])
#print(X[-1], V[-1])
print(X.shape)
net = ValueNet(X.shape[1], 2)
optim = Adam(get_parameters(net))
def get_minibatch(X,Y,bs):
xs, ys = [], []
#random.seed(1337)
for _ in range(bs):
sel = random.randint(0, len(X)-1)
xs.append(X[sel])
ys.append(Y[sel])
return Tensor(xs), Tensor(ys)
Tensor.training = True
losses = []
test_losses = []
test_loss = float('inf')
for i in (t:=trange(2000)):
x,y = get_minibatch(X,V,bs=256)
out = net(x)
#loss = (out-y).square().mean()
loss = log_likelihood(y, out[:, 0:1], out[:, 1:2]).mean()
optim.zero_grad()
loss.backward()
optim.step()
t.set_description(f"loss {loss.numpy():7.2f}, test loss {test_loss:7.2f}")
losses.append(loss.numpy().item())
test_losses.append(test_loss)
if i % 10: test_loss = (net(X_test)[:, 0:1]-V_test).square().mean().numpy().item()
safe_save(get_state_dict(net), "/tmp/qnet.safetensors")
import matplotlib.pyplot as plt
plt.plot(losses[20:])
plt.plot(test_losses[20:])
plt.show()
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@@ -1,124 +0,0 @@
# stuff needed to unpack a kernel
from tinygrad import Variable
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.dtype import dtypes, PtrDType
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
from tinygrad.helpers import getenv
from tinygrad.engine.realize import get_program
inf, nan = float('inf'), float('nan')
UOps = Ops
# kernel unpacker
from tinygrad.codegen.opt.kernel import Kernel
def ast_str_to_ast(ast_str:str) -> UOp: return eval(ast_str)
def ast_str_to_lin(ast_str:str, opts=None): return Kernel(ast_str_to_ast(ast_str), opts=opts)
def kern_str_to_lin(kern_str:str, opts=None):
(ast, applied_opts,) = eval(kern_str)
k = Kernel(ast, opts=opts)
k.apply_opts(applied_opts)
return k
# load worlds, a dataset of about 12k kernels
import gzip
from pathlib import Path
import random
from tinygrad.helpers import dedup, DEBUG
def load_worlds(filter_reduce=True, filter_noimage=True, filter_novariable=True):
fn = Path(__file__).parent.parent / "datasets/sops.gz"
ast_strs = dedup(gzip.open(fn).read().decode('utf-8').strip().split("\n"))
assert len(ast_strs) >= getenv("MIN_ASTS", 1000), f"dataset size = {len(ast_strs)} is too small"
if DEBUG >= 1: print(f"loaded {len(ast_strs)=} before filters")
if filter_reduce: ast_strs = [x for x in ast_strs if "REDUCE_AXIS" in x]
if filter_noimage: ast_strs = [x for x in ast_strs if "dtypes.image" not in x]
if filter_novariable: ast_strs = [x for x in ast_strs if "DEFINE_VAR" not in x]
if DEBUG >= 1: print(f"loaded {len(ast_strs)=} after filters {filter_reduce=}, {filter_noimage=}, {filter_novariable=}")
random.seed(1337)
random.shuffle(ast_strs)
return ast_strs
def assert_same_lin(l1, l2):
assert l1.colored_shape() == l2.colored_shape()
assert all(x==y for x,y in zip(l1.sts, l2.sts))
# get features
import math
MAX_DIMS = 16
MAX_BUFS = 9
def lin_to_feats(lin:Kernel, use_sts=True):
assert lin.shape_len < MAX_DIMS, "too many dims"
all_colors = ["blue", "cyan", "white", "green", "red", "magenta", "yellow"]
lc = [all_colors.index(x) for x in lin.colors()]
ret = []
# before, some generic linearizer stuff
ret.append(lin.upcasted)
ret.append(lin.local_dims)
# first, the full shape, including the colors
for s,os,c in zip(lin.full_shape,lin.output_shape,lc):
if isinstance(s, UOp):
ret.append(False)
ret += [0]*9
else:
ret.append(True)
ret.append(math.log2(s))
ret.append(min(33, s))
ret.append(math.log2(os))
ret.append(min(33, os))
ret.append(s%2 == 0)
ret.append(s%3 == 0)
ret.append(s%4 == 0)
ret.append(s%8 == 0)
ret.append(s%16 == 0)
cc = [0]*7
cc[c] = 1
ret += cc
ret += [0] * (17*(MAX_DIMS-len(lin.full_shape)))
ret = [float(x) for x in ret]
if use_sts:
my_sts = dedup([(x.shape == lin.full_shape, x.is_expanded(), any(v.mask is not None for v in x.views), len(x.views)) for x in lin.sts])
assert len(my_sts) < MAX_BUFS
sts_len = 3 + 5*MAX_DIMS
for s in my_sts:
ret.append(s[0]) # reduce
ret.append(s[2]) # has mask
ret.append(s[3]) # len views
for d in s[1]:
ret.append(d is None)
ret.append(d == 0)
ret.append(d == 1)
ret.append(min(33, d) if d is not None else -1)
if d is not None and d >= 1: ret.append(math.log2(d))
else: ret.append(-1)
ret += [0] * (5*(MAX_DIMS - len(s[1])))
ret += [0] * (sts_len*(MAX_BUFS - len(my_sts)))
assert len(ret) == 1021, f"wrong len {len(ret)}"
else:
assert len(ret) == 274, f"wrong len {len(ret)}"
return ret
from tinygrad.device import Device, Buffer
from tinygrad.codegen.opt.search import _ensure_buffer_alloc, _time_program
from tinygrad.helpers import to_function_name, CACHELEVEL, diskcache_get, diskcache_put
def time_linearizer(lin:Kernel, rawbufs:list[Buffer], allow_test_size=True, max_global_size=65536, cnt=3, disable_cache=False, clear_l2=False) -> float: # noqa: E501
key = {"ast": lin.ast.key, "opts": str(lin.applied_opts), "allow_test_size": allow_test_size,
"max_global_size": max_global_size, "clear_l2": clear_l2, "device": lin.opts.device, "suffix": lin.opts.suffix}
if not disable_cache and CACHELEVEL >= 2 and (val:=diskcache_get("time_linearizer", key)) is not None: return min(val)
dev = Device[lin.opts.device]
assert dev.compiler is not None
rawbufs = _ensure_buffer_alloc(rawbufs)
var_vals: dict[str, int] = {k.expr:int(k.vmax+k.vmin)//2 for k in lin.ast.variables()}
p = get_program(lin.get_optimized_ast(), lin.opts)
tms = _time_program(p, dev.compiler.compile(p.src), var_vals, rawbufs,
max_global_size=max_global_size if allow_test_size else None, clear_l2=clear_l2, cnt=cnt, name=to_function_name(lin.name))
if CACHELEVEL >= 2: diskcache_put("time_linearizer", key, tms)
return min(tms)
-88
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@@ -1,88 +0,0 @@
from tinygrad.codegen.opt.kernel import Kernel
from tqdm import tqdm, trange
import math
import random
from tinygrad.tensor import Tensor
from tinygrad.nn import Linear
from tinygrad.nn.optim import Adam
from tinygrad.nn.state import get_parameters, get_state_dict, safe_save, safe_load, load_state_dict
# stuff needed to unpack a kernel
from tinygrad.uop.ops import LazyOp, TernaryOps, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer
from tinygrad.dtype import dtypes
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
from tinygrad.uop.ops import Variable
inf, nan = float('inf'), float('nan')
from tinygrad.codegen.opt.kernel import Opt, OptOps
from extra.optimization.helpers import lin_to_feats, MAX_DIMS
# NOTE: this is not real value of the state, it's just a prediction of the runtime
INNER = 512
class ValueNet:
def __init__(self, feats=240, out=1):
self.l1 = Linear(feats,INNER)
self.l2 = Linear(INNER,INNER)
self.l3 = Linear(INNER,INNER)
self.l4 = Linear(INNER,out)
def __call__(self, x):
x = self.l1(x).relu()
x = self.l2(x).relu()
x = self.l3(x).relu().dropout(0.8)
return self.l4(x)
if __name__ == "__main__":
net = ValueNet()
optim = Adam(get_parameters(net))
TEST_SIZE = 256
dset = open("/tmp/logtm").read().strip().split("\n")
random.seed(1337)
random.shuffle(dset)
X,Y = [], []
for i,x in enumerate(tqdm(dset)):
ast, opts, tms = eval(x)
lin = Kernel(ast)
for o in opts: lin.apply_opt(o)
if lin.shape_len >= MAX_DIMS: continue
if min(tms) == float('inf'): continue
X.append(lin_to_feats(lin))
Y.append([math.log(min(tms))])
print(f"got {len(X)} samples")
X_test,Y_test = Tensor(X[-TEST_SIZE:]), Tensor(Y[-TEST_SIZE:])
X,Y = X[:-TEST_SIZE], Y[:-TEST_SIZE]
def get_minibatch(X,Y,bs):
xs, ys = [], []
for _ in range(bs):
sel = random.randint(0, len(X)-1)
xs.append(X[sel])
ys.append(Y[sel])
return Tensor(xs), Tensor(ys)
Tensor.training = True
losses = []
test_losses = []
test_loss = float('inf')
for i in (t:=trange(2000)):
x,y = get_minibatch(X,Y,bs=256)
out = net(x)
loss = (out-y).square().mean()
optim.zero_grad()
loss.backward()
optim.step()
t.set_description(f"loss {loss.numpy():7.2f}, test loss {test_loss:7.2f}")
losses.append(loss.numpy().item())
test_losses.append(test_loss)
if i % 10: test_loss = (net(X_test)-Y_test).square().mean().numpy().item()
safe_save(get_state_dict(net), "/tmp/valuenet.safetensors")
import matplotlib.pyplot as plt
plt.plot(losses[200:])
plt.plot(test_losses[200:])
plt.show()
+46 -1
View File
@@ -1,4 +1,5 @@
use crate::work_group::WorkGroup;
use crate::state::StateSnapshot;
use crate::work_group::{WaveContext, WorkGroup};
use std::os::raw::c_char;
use std::slice;
mod helpers;
@@ -30,3 +31,47 @@ pub extern "C" fn run_asm(lib: *const c_char, lib_sz: u32, gx: u32, gy: u32, gz:
}
0
}
// FFI functions for single-stepping comparison tests
#[no_mangle]
pub extern "C" fn wave_create(lib: *const c_char, lib_sz: u32, n_lanes: u32) -> *mut WaveContext {
if lib.is_null() || (lib_sz % 4) != 0 { return std::ptr::null_mut(); }
let kernel = unsafe { slice::from_raw_parts(lib as *const u32, (lib_sz / 4) as usize).to_vec() };
Box::into_raw(Box::new(WaveContext::new(kernel, n_lanes as usize)))
}
#[no_mangle]
pub extern "C" fn wave_step(ctx: *mut WaveContext) -> i32 {
if ctx.is_null() { return -99; }
unsafe { (*ctx).step() }
}
#[no_mangle]
pub extern "C" fn wave_get_snapshot(ctx: *const WaveContext, out: *mut StateSnapshot) {
if ctx.is_null() || out.is_null() { return; }
unsafe { *out = (*ctx).get_snapshot(); }
}
#[no_mangle]
pub extern "C" fn wave_set_sgpr(ctx: *mut WaveContext, idx: u32, val: u32) {
if ctx.is_null() || idx >= 128 { return; }
unsafe { (*ctx).scalar_reg[idx as usize] = val; }
}
#[no_mangle]
pub extern "C" fn wave_set_vgpr(ctx: *mut WaveContext, lane: u32, idx: u32, val: u32) {
if ctx.is_null() || lane >= 32 || idx >= 256 { return; }
unsafe { (*ctx).vec_reg.get_lane_mut(lane as usize)[idx as usize] = val; }
}
#[no_mangle]
pub extern "C" fn wave_init_lds(ctx: *mut WaveContext, size: u32) {
if ctx.is_null() { return; }
unsafe { (*ctx).lds.data.resize(size as usize, 0); }
}
#[no_mangle]
pub extern "C" fn wave_free(ctx: *mut WaveContext) {
if !ctx.is_null() { unsafe { drop(Box::from_raw(ctx)); } }
}
+18
View File
@@ -96,6 +96,24 @@ impl WaveValue {
}
}
/// C-compatible state snapshot for FFI - used for comparing emulator states
#[repr(C)]
#[derive(Clone, Debug)]
pub struct StateSnapshot {
pub pc: u32,
pub scc: u32,
pub vcc: u32,
pub exec_mask: u32,
pub sgpr: [u32; 128],
pub vgpr: [[u32; 256]; 32],
}
impl StateSnapshot {
pub fn new() -> Self {
Self { pc: 0, scc: 0, vcc: 0, exec_mask: 0, sgpr: [0; 128], vgpr: [[0; 256]; 32] }
}
}
#[derive(Clone, Debug)]
pub struct VecDataStore {
pub data: Vec<u8>,
+91 -1
View File
@@ -1,5 +1,5 @@
use crate::helpers::{colored, DEBUG};
use crate::state::{Register, VecDataStore, WaveValue, VGPR};
use crate::state::{Register, StateSnapshot, VecDataStore, WaveValue, VGPR};
use crate::thread::{Thread, END_PRG, SGPR_COUNT};
use std::collections::HashMap;
@@ -28,6 +28,96 @@ struct WaveState {
const SYNCS: [u32; 4] = [0xBF89FC07, 0xBC7C0000, 0xBF890007, 0xbFB60003];
const S_BARRIER: u32 = 0xBFBD0000;
/// Context for single-stepping through a wave - holds all mutable state
pub struct WaveContext {
pub kernel: Vec<u32>,
pub scalar_reg: [u32; SGPR_COUNT],
pub scc: u32,
pub pc: usize,
pub vec_reg: VGPR,
pub vcc: WaveValue,
pub exec: WaveValue,
pub lds: VecDataStore,
pub sds: HashMap<usize, VecDataStore>,
pub n_lanes: usize,
}
impl WaveContext {
pub fn new(kernel: Vec<u32>, n_lanes: usize) -> Self {
let active = (!0u32).wrapping_shr(32 - (n_lanes as u32));
Self {
kernel,
scalar_reg: [0; SGPR_COUNT],
scc: 0,
pc: 0,
vec_reg: VGPR::new(),
vcc: WaveValue::new(0, n_lanes),
exec: WaveValue::new(active, n_lanes),
lds: VecDataStore::new(),
sds: (0..=31).map(|i| (i, VecDataStore::new())).collect(),
n_lanes,
}
}
/// Execute a single instruction. Returns: 0=continue, -1=endpgm, -2=barrier, 1=done (pc past program), negative=error
pub fn step(&mut self) -> i32 {
if self.pc >= self.kernel.len() { return 1; }
if self.kernel[self.pc] == END_PRG { return -1; }
if self.kernel[self.pc] == S_BARRIER { self.pc += 1; return -2; }
// Skip sync/nop instructions
if SYNCS.contains(&self.kernel[self.pc]) || self.kernel[self.pc] >> 20 == 0xbf8 || self.kernel[self.pc] == 0x7E000000 {
self.pc += 1;
return 0;
}
let mut sgpr_co = None;
for lane_id in 0..self.n_lanes {
self.vec_reg.default_lane = Some(lane_id);
self.vcc.default_lane = Some(lane_id);
self.exec.default_lane = Some(lane_id);
let mut thread = Thread {
scalar_reg: &mut self.scalar_reg,
scc: &mut self.scc,
vec_reg: &mut self.vec_reg,
vcc: &mut self.vcc,
exec: &mut self.exec,
lds: &mut self.lds,
sds: &mut self.sds.get_mut(&lane_id).unwrap(),
pc_offset: 0,
stream: self.kernel[self.pc..].to_vec(),
scalar: false,
simm: None,
warp_size: self.n_lanes,
sgpr_co: &mut sgpr_co,
};
if let Err(e) = thread.interpret() { return e; }
if thread.scalar {
self.pc = ((self.pc as isize) + 1 + (thread.pc_offset as isize)) as usize;
break;
}
if lane_id == self.n_lanes - 1 {
self.pc = ((self.pc as isize) + 1 + (thread.pc_offset as isize)) as usize;
}
}
if self.vcc.mutations.is_some() { self.vcc.apply_muts(); self.vcc.mutations = None; }
if self.exec.mutations.is_some() { self.exec.apply_muts(); self.exec.mutations = None; }
if let Some((idx, mut wv)) = sgpr_co.take() { wv.apply_muts(); self.scalar_reg[idx] = wv.value; }
0
}
pub fn get_snapshot(&self) -> StateSnapshot {
let mut snap = StateSnapshot::new();
snap.pc = self.pc as u32;
snap.scc = self.scc;
snap.vcc = self.vcc.value;
snap.exec_mask = self.exec.value;
snap.sgpr = self.scalar_reg;
for lane in 0..32 { snap.vgpr[lane] = self.vec_reg.get_lane(lane); }
snap
}
}
impl<'a> WorkGroup<'a> {
pub fn new(dispatch_dim: u32, id: [u32; 3], launch_bounds: [u32; 3], kernel: &'a Vec<u32>, kernel_args: *const u64) -> Self {
Self { dispatch_dim, id, kernel, launch_bounds, kernel_args, lds: VecDataStore::new(), wave_state: HashMap::new() }
+105 -91
View File
@@ -1,32 +1,37 @@
# ruff: noqa: F405, F403
# allow define from star imports
import numpy as np
import unittest
import subprocess, struct, math
import subprocess, struct, math, textwrap
from tinygrad import Tensor, dtypes, Device, UOp
from tinygrad.uop.ops import Ops
from tinygrad.helpers import getenv
from tinygrad.runtime.support.compiler_amd import amdgpu_disassemble
from tinygrad.renderer import ProgramSpec
from tinygrad.engine.realize import CompiledRunner
def get_output(asm:str, n_threads:int=1):
input_asm = "\n".join([ln if ln.strip().startswith('asm volatile') else f'asm volatile("{ln.strip().lstrip()}" : "+v"(a), "+v"(b));'
for ln in asm.strip().splitlines() if ln.strip()])
src = f"""
typedef long unsigned int size_t;
extern "C" __attribute__((device, const)) size_t __ockl_get_local_id(unsigned int);
extern "C" __attribute__((global)) void __attribute__((amdgpu_flat_work_group_size(1, {n_threads}))) test(unsigned int* data0_1) {{
int l = __ockl_get_local_id(0);
unsigned a = 0, b = 0, c = 0;
{input_asm}
unsigned res;
asm volatile("v_mov_b32 %0, %1" : "=v"(res) : "v"(a));
*(data0_1+l) = res;
}}"""
t = Tensor.zeros(n_threads, dtype=dtypes.uint32).contiguous().realize()
prg = ProgramSpec("test", src, Device.DEFAULT, UOp.sink(t), global_size=[1, 1, 1], local_size=[n_threads, 1, 1])
from extra.assembly.amd.autogen.rdna3 import *
from extra.assembly.amd.asm import waitcnt
from test.testextra.test_cfg_viz import template
def get_output(asm:list, n_threads:int=1, vdst:VGPR=v[1]):
out = Tensor([0]*n_threads, dtype=dtypes.uint32).realize()
src = "\n".join(inst.disasm() for inst in [
s_load_b64(s[0:1], s[0:1], NULL),
*asm,
v_lshlrev_b32_e32(v[0], 2, v[0]),
s_waitcnt(simm16=waitcnt(lgkmcnt=0)),
#global_store_b32(v[0], v[1], s[0:1]),
global_store_b32(addr=v[0], data=vdst, saddr=s[0:1]),
s_endpgm()
])
prg = ProgramSpec("test", template.replace("fn_name", "test").replace("INSTRUCTION", textwrap.dedent(src)), Device.DEFAULT, UOp(Ops.SINK),
global_size=[1, 1, 1], local_size=[n_threads, 1, 1], globals=[0])
car = CompiledRunner(prg)
if getenv("PRINT_ASM"): amdgpu_disassemble(car.lib)
car([t.uop.buffer], {}, wait=True)
return t.numpy()
car([out.uop.buffer], {}, wait=True)
return out.tolist()
def f16_to_bits(x:float) -> int: return struct.unpack('<H', struct.pack('<e', x))[0]
def f32_from_bits(x:int) -> float: return struct.unpack('<f', struct.pack('<I', x))[0]
@@ -37,83 +42,89 @@ class TestHW(unittest.TestCase):
def setUp(self):
if getenv("MOCKGPU"): subprocess.run(["cargo", "build", "--release", "--manifest-path", "./extra/remu/Cargo.toml"], check=True)
def test_simple(self):
out = get_output("""
v_mov_b32_e32 %1 42
v_mov_b32_e32 %2 %1
""")[0]
np.testing.assert_equal(out, 42)
def test_simple_v_mov(self):
out = get_output([
v_mov_b32_e32(v[1], 2),
])
self.assertEqual(out, [2])
def test_simple_s_mov(self):
out = get_output([
s_mov_b32(s[7], 0x7fffffff),
v_mov_b32_e32(v[1], s[7]),
])
self.assertEqual(out, [0x7fffffff])
def test_exec_mov(self):
out = get_output("""
v_mov_b32_e32 %1 42
s_mov_b32_e32 exec_lo 0b10
v_mov_b32_e32 %1 10
s_mov_b32_e32 exec_lo 0b11
v_mov_b32_e32 %2 %1
""", n_threads=2)
out = get_output([
v_mov_b32_e32(v[1], 42),
s_mov_b32(EXEC_LO, 0b10),
v_mov_b32_e32(v[1], 10),
s_mov_b32(EXEC_LO, 0b11),
], n_threads=2)
np.testing.assert_equal(out, [42, 10])
def test_exec_cmp_vopc(self):
out = get_output("""
s_mov_b32 vcc_lo 0 // reset vcc
v_mov_b32_e32 %1 42
v_mov_b32_e32 %2 10
s_mov_b32_e32 exec_lo 0b01
v_cmp_ne_u32 %1 %2
s_mov_b32_e32 exec_lo 0b11
v_mov_b32_e32 %2 vcc_lo
""", n_threads=2)
np.testing.assert_equal(out, 0b01)
out = get_output([
s_mov_b32(VCC_LO, 0), # reset vcc
v_mov_b32_e32(v[1], 42),
v_mov_b32_e32(v[2], 10),
s_mov_b32(EXEC_LO, 0b01),
v_cmp_ne_u32_e32(v[1], v[2]),
s_mov_b32(EXEC_LO, 0b11),
v_mov_b32_e32(v[1], VCC_LO),
], n_threads=2)[0]
np.testing.assert_equal(out, 1)
def test_exec_cmpx_vop3(self):
out = get_output("""
s_mov_b32_e32 exec_lo 0b11
v_mov_b32_e32 %1 42
v_mov_b32_e32 %2 10
s_mov_b32_e32 exec_lo 0b01
v_cmpx_ne_u32 %1 %2
s_mov_b32_e32 s10 exec_lo
s_mov_b32_e32 exec_lo 0b11
v_mov_b32_e32 %2 s10
""", n_threads=2)[0]
out = get_output([
s_mov_b32(EXEC_LO, 0b11),
v_mov_b32_e32(v[1], 42),
v_mov_b32_e32(v[2], 10),
s_mov_b32(EXEC_LO, 0b01),
v_cmpx_ne_u32_e32(v[1], v[2]),
s_mov_b32(s[10], EXEC_LO),
s_mov_b32(EXEC_LO, 0b11),
v_mov_b32_e32(v[1], s[10]),
], n_threads=2)[0]
np.testing.assert_equal(out & 0b11, 0b01)
def test_fmac_vop3_modifier(self):
init_state = f"""
asm volatile("v_mov_b32_e32 %1, {f16_to_bits(4.0)}" : "+v"(a));
asm volatile("v_mov_b32_e32 %1, {f16_to_bits(3.0)}" : "+v"(b));
asm volatile("v_mov_b32_e32 %1, {f16_to_bits(2.0)}" : "+v"(c));
"""
mov = """asm volatile("v_mov_b32_e32 %1, %2" : "+v"(c), "+v"(a));"""
def fmac(a, b, c): return f"""asm volatile("v_fmac_f16_e64 {c}, {a}, {b}" : "+v"(c) : "v"(a), "v"(b));"""+"\n"+mov
self.assertEqual(get_output(init_state+"\n"+fmac("%1", "%2", "%3")), f16_to_bits(14.))
self.assertEqual(get_output(init_state+"\n"+fmac("%1", "-%2", "%3")), f16_to_bits(-10.))
self.assertEqual(get_output(init_state+"\n"+fmac("-%1", "-%2", "%3")), f16_to_bits(14.))
init_state = [
v_mov_b32_e32(a:=v[1], f16_to_bits(4.0)),
v_mov_b32_e32(b:=v[2], f16_to_bits(3.0)),
v_mov_b32_e32(c:=v[3], f16_to_bits(2.0)),
]
def run_fmac(a, b): return get_output(init_state+[v_fmac_f16_e64(c, a, b)], vdst=c)[0]
self.assertEqual(run_fmac(a, b), f16_to_bits(14.0))
self.assertEqual(run_fmac(a, -b), f16_to_bits(-10.0))
self.assertEqual(run_fmac(-a, -b), f16_to_bits(14.0))
def test_s_abs_i32(self):
def s_abs_i32(x, y, dst="s10", scc=0):
for reg,val in [(dst, y), ("scc", scc)]:
self.assertEqual(get_output(f"""
s_mov_b32_e32 {dst} {x}
s_abs_i32 {dst} {dst}
v_mov_b32_e32 %2 {reg}
""")[0], val)
s_abs_i32(0x00000001, 0x00000001, scc=1)
s_abs_i32(0x7fffffff, 0x7fffffff, scc=1)
s_abs_i32(0x80000000, 0x80000000, scc=1)
s_abs_i32(0x80000001, 0x7fffffff, scc=1)
s_abs_i32(0x80000002, 0x7ffffffe, scc=1)
s_abs_i32(0xffffffff, 0x00000001, scc=1)
s_abs_i32(0, 0, scc=0)
def check(x, y, dst=s[10], scc=0):
for reg,val in [(dst, y), (SCC, scc)]:
self.assertEqual(get_output([
s_mov_b32(dst, x),
s_abs_i32(dst, dst),
v_mov_b32_e32(v[1], reg)
])[0], val)
check(0x00000001, 0x00000001, scc=1)
check(0x7fffffff, 0x7fffffff, scc=1)
check(0x80000000, 0x80000000, scc=1)
check(0x80000001, 0x7fffffff, scc=1)
check(0x80000002, 0x7ffffffe, scc=1)
check(0xffffffff, 0x00000001, scc=1)
check(0, 0, scc=0)
def test_v_rcp_f32_neg_vop3(self):
def v_neg_rcp_f32(x:float, y:float):
out = get_output(f"""
v_mov_b32_e32 %2 {f32_to_bits(x)}
v_rcp_f32_e64 %2, -%2
""")[0]
out = get_output([
v_mov_b32_e32(v[2], f32_to_bits(x)),
v_rcp_f32_e64(v[2], -v[2]),
], vdst=v[2])[0]
assert out == f32_to_bits(y), f"{f32_from_bits(out)} != {y} / {out} != {f32_to_bits(y)}"
v_neg_rcp_f32(math.inf, -0.0)
v_neg_rcp_f32(-math.inf, 0.0)
v_neg_rcp_f32(0.0, -math.inf)
@@ -122,25 +133,28 @@ class TestHW(unittest.TestCase):
v_neg_rcp_f32(2.0, -0.5)
def test_v_cndmask_b32_neg(self):
def v_neg(x:int|float, y:float):
# always pick -v1
out = get_output(f"""
v_mov_b32_e32 %2 {f32_to_bits(x)}
s_mov_b32_e32 s10 1
v_cndmask_b32 %2, %2, -%2 s10
""")[0]
def v_neg(x:float, y:float):
out = get_output([
v_mov_b32_e32(v[1], f32_to_bits(x)),
s_mov_b32(s[10], 1),
v_cndmask_b32_e64(v[1], v[1], -v[1], s[10]),
])[0]
assert out == f32_to_bits(y), f"{f32_from_bits(out)} != {y} / {out} != {f32_to_bits(y)}"
v_neg(-0.0, 0.0)
v_neg(0.0, -0.0)
v_neg(2.0, -2.0)
v_neg(math.inf, -math.inf)
v_neg(-math.inf, math.inf)
@unittest.skip("how does VOPD work in the dsl")
def test_v_subrev_wrap(self):
out = get_output("""
v_dual_mov_b32 %1, 0xffffffff :: v_dual_mov_b32 %2, 0x0
v_subrev_co_u32 %2, vcc_lo, %2, %1
""")[0]
out = get_output([
#v_dual_mov_b32(v[1], 0xffffffff, v[2], 0x0),
#v_dual_mov_b32(vdstx=v[1], srcx=0xffffffff, vdsty=v[2], srcy=0x0),
#VOPD(opx=VOPDOp.V_DUAL_MOV_B32, opy=VOPDOp.V_DUAL_MOV_B32, vdstx=v[1], srcx=0xffffffff, vdsty=v[2], srcy=0x0),
v_subrev_co_u32(v[2], VCC_LO, v[2], v[1]),
], vdst=v[2])[0]
self.assertEqual(out, 0xffff_ffff)
if __name__ == "__main__":
+2 -2
View File
@@ -534,8 +534,8 @@ def parse_sqtt_print_packets(data: bytes, filter=DEFAULT_FILTER, verbose=True) -
def parse(fn:str):
with Timing(f"unpickle {fn}: "): dat = pickle.load(open(fn, "rb"))
if getenv("ROCM", 0):
with Timing(f"decode {fn}: "): ctx = decode(dat)
#if getenv("ROCM", 0):
# with Timing(f"decode {fn}: "): ctx = decode(dat)
dat_sqtt = [x for x in dat if isinstance(x, ProfileSQTTEvent)]
print(f"got {len(dat_sqtt)} SQTT events in {fn}")
return dat_sqtt
Regular → Executable
+46 -58
View File
@@ -1,33 +1,9 @@
import ctypes, pathlib, argparse, pickle, re, functools, dataclasses, itertools, threading
#!/usr/bin/env python3
import ctypes, pathlib, argparse, pickle, dataclasses, threading
from typing import Generator
from tinygrad.helpers import temp, unwrap, DEBUG
from tinygrad.device import ProfileEvent, ProfileDeviceEvent, ProfileProgramEvent
from tinygrad.runtime.ops_amd import ProfileSQTTEvent, ProfilePMCEvent
from tinygrad.runtime.autogen import llvm, rocprof
from tinygrad.runtime.support.elf import elf_loader
# to pass NULL to callbacks
llvm.LLVMCreateDisasmCPUFeatures.argtypes = tuple(llvm.LLVMCreateDisasmCPUFeatures.argtypes[:5]) + (ctypes.c_void_p, ctypes.c_void_p)
def llvm_disasm(arch:str, lib:bytes) -> dict[int, tuple[str, int]]:
llvm.LLVMInitializeAMDGPUTargetInfo()
llvm.LLVMInitializeAMDGPUTargetMC()
llvm.LLVMInitializeAMDGPUAsmParser()
llvm.LLVMInitializeAMDGPUDisassembler()
ctx = llvm.LLVMCreateDisasmCPUFeatures("amdgcn-amd-amdhsa".encode(), arch.encode(), "".encode(), None, 0, None, None)
image, sections, relocs = elf_loader(lib)
text = next((sh.header for sh in sections if sh.name == ".text"), None)
off, sz = unwrap(text).sh_addr, unwrap(text).sh_size
addr_table:dict[int, tuple[str, int]] = {}
out = ctypes.create_string_buffer(128)
cur_off = off
while cur_off < sz + off:
view = (ctypes.c_ubyte * ((sz + off) - cur_off)).from_buffer_copy(memoryview(image)[cur_off:])
instr_sz = llvm.LLVMDisasmInstruction(ctx, view, ctypes.c_uint64(len(view)), ctypes.c_uint64(0), out, ctypes.c_size_t(128))
addr_table[cur_off] = (out.value.decode("utf-8", "replace").strip(), instr_sz)
cur_off += instr_sz
return addr_table
from tinygrad.runtime.ops_amd import ProfileSQTTEvent
from tinygrad.runtime.autogen import rocprof
@dataclasses.dataclass(frozen=True)
class InstExec:
@@ -70,17 +46,11 @@ class OccEvent(WaveSlot):
RunKey = tuple[str, int]
class _ROCParseCtx:
def __init__(self, dev_evs:dict[str, ProfileDeviceEvent], sqtt_evs:list[ProfileSQTTEvent], prog_evs:list[ProfileProgramEvent]):
self.dev_evs, self.sqtt_evs, self.prog_evs = dev_evs, iter(sqtt_evs), prog_evs
self.disasms:dict[str, dict[int, tuple[str, int]]] = {}
def __init__(self, sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, tuple[str, int]]]):
self.sqtt_evs, self.disasms = iter(sqtt_evs), disasms
self.inst_execs:dict[RunKey, list[WaveExec]] = {}
self.occ_events:dict[RunKey, list[OccEvent]] = {}
for prog in prog_evs:
arch = "gfx%d%x%x" % ((trgt:=unwrap(dev_evs[prog.device].props)['gfx_target_version']) // 10000, (trgt // 100) % 100, trgt % 100)
base = unwrap(prog.base)
self.disasms[prog.name] = asm = {base+addr:info for addr,info in llvm_disasm(arch, unwrap(prog.lib)).items()}
def next_sqtt(self):
x = next(self.sqtt_evs, None)
self.active_run = (x.kern, x.exec_tag) if x is not None else None
@@ -103,16 +73,8 @@ class _ROCParseCtx:
self.inst_execs.setdefault(unwrap(self.active_run), []).append(WaveExec(ev.wave_id, ev.cu, ev.simd, unwrap(self.active_se), ev.begin_time,
ev.end_time, insts_blob))
def decode(profile:list[ProfileEvent]) -> _ROCParseCtx:
dev_events:dict[str, ProfileDeviceEvent] = {}
sqtt_events:list[ProfileSQTTEvent] = []
prog_events:list[ProfileProgramEvent] = []
for e in profile:
if isinstance(e, ProfileDeviceEvent): dev_events[e.device] = e
if isinstance(e, ProfileSQTTEvent): sqtt_events.append(e)
if isinstance(e, ProfileProgramEvent) and e.device.startswith("AMD"): prog_events.append(e)
ROCParseCtx = _ROCParseCtx(dev_events, sqtt_events, prog_events)
def decode(sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, tuple[str, int]]]) -> _ROCParseCtx:
ROCParseCtx = _ROCParseCtx(sqtt_evs, disasms)
@rocprof.rocprof_trace_decoder_se_data_callback_t
def copy_cb(buf, buf_size, _):
@@ -153,26 +115,52 @@ def decode(profile:list[ProfileEvent]) -> _ROCParseCtx:
def worker():
try: rocprof.rocprof_trace_decoder_parse_data(copy_cb, trace_cb, isa_cb, None)
except AttributeError as e: raise RuntimeError("Failed to find rocprof-trace-decoder. Run sudo ./extra/sqtt/install_sqtt_decoder.py to install") from e
except AttributeError as e:
raise RuntimeError("Failed to find rocprof-trace-decoder. Run sudo ./extra/sqtt/install_sqtt_decoder.py to install") from e
(t:=threading.Thread(target=worker, daemon=True)).start()
t.join()
return ROCParseCtx
def print_pmc(events:list[ProfilePMCEvent]) -> None:
from tinygrad.viz.serve import unpack_pmc
def print_data(data:dict) -> None:
from tabulate import tabulate
for e in events:
print("**", e.kern)
data = unpack_pmc(e)
print(tabulate([r[:-1] for r in data["rows"]], headers=data["cols"], tablefmt="github"))
# plaintext
if "src" in data: print(data["src"])
# table format
elif "cols" in data:
print(tabulate([r[:len(data["cols"])] for r in data["rows"]], headers=data["cols"], tablefmt="github"))
def main() -> None:
import tinygrad.viz.serve as viz
viz.ctxs = []
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--profile', type=pathlib.Path, help='Path to profile', default=pathlib.Path(temp("profile.pkl", append_user=True)))
parser.add_argument('--profile', type=pathlib.Path, metavar="PATH", help='Path to profile (optional file, default: latest profile)',
default=pathlib.Path(temp("profile.pkl", append_user=True)))
parser.add_argument('--kernel', type=str, default=None, metavar="NAME", help='Kernel to focus on (optional name, default: all kernels)')
parser.add_argument('-n', type=int, default=3, metavar="NUM", help='Max traces to print (optional number, default: 3 traces)')
args = parser.parse_args()
with args.profile.open("rb") as f: profile = pickle.load(f)
rctx = decode(profile)
print('SQTT:', rctx.inst_execs.keys())
print_pmc([ev for ev in profile if isinstance(ev, ProfilePMCEvent)])
viz.get_profile(profile)
# List all kernels
if args.kernel is None:
for c in viz.ctxs:
print(c["name"])
for s in c["steps"]: print(" "+s["name"])
return None
# Find kernel trace
trace = next((c for c in viz.ctxs if c["name"] == f"Exec {args.kernel}"), None)
if not trace: raise RuntimeError(f"no matching trace for {args.kernel}")
n = 0
for s in trace["steps"]:
print(s["name"])
data = viz.get_render(s["query"])
print_data(data)
n += 1
if n > args.n: break
if __name__ == "__main__":
main()
-20
View File
@@ -1,20 +0,0 @@
from extra.optimization.helpers import load_worlds, ast_str_to_ast
from tinygrad.helpers import tqdm
from tinygrad.uop.ops import pyrender, UOp, Ops
from tinygrad import dtypes
from tinygrad.shape.shapetracker import ShapeTracker, View
inf, nan = float('inf'), float('nan')
if __name__ == "__main__":
ast_strs = load_worlds()
for i, ast_str in enumerate(tqdm(ast_strs)):
good_ast = ast_str_to_ast(ast_str)
code = '\n'.join(pyrender(good_ast))
print("\n***************\n\n"+code)
exec(code)
if str(good_ast) != str(ast):
print(code)
print("MISMATCH")
print(good_ast)
print(ast)
break
+1 -1
View File
@@ -1 +1 @@
{"$schema": "https://opencode.ai/config.json", "formatter": false}
{"$schema": "https://opencode.ai/config.json", "formatter": false, "lsp": false}
View File
+1 -1
View File
@@ -76,7 +76,7 @@ class TestHCQ(unittest.TestCase):
TestHCQ.d0.timeline_signal.wait(TestHCQ.d0.timeline_value)
TestHCQ.d0.timeline_value += 1
@unittest.skipIf(MOCKGPU or Device.DEFAULT in {"CPU"}, "Can't handle async update on MOCKGPU for now")
@unittest.skipIf(Device.DEFAULT in {"CPU"}, "Can't handle async update on CPU device")
def test_wait_late_set(self):
for queue_type in [TestHCQ.d0.hw_compute_queue_t, TestHCQ.d0.hw_copy_queue_t]:
if queue_type is None: continue
+4 -10
View File
@@ -1,10 +1,9 @@
# ruff: noqa: E501 E712 F401
from dataclasses import replace
from tinygrad import dtypes, Device
from tinygrad.uop.ops import UOp, AxisType, Ops, KernelInfo
from tinygrad.codegen import full_rewrite
from tinygrad.codegen.opt import Opt, OptOps # pylint: disable=unused-import
from tinygrad.renderer import ProgramSpec
from tinygrad.engine.realize import CompiledRunner
from tinygrad.engine.realize import CompiledRunner, get_program
from tinygrad.helpers import dedup, getenv
from tinygrad.device import Buffer
from tinygrad.dtype import ImageDType, Invalid
@@ -86,16 +85,11 @@ def dm_conv_172():
ast = {143: vision_conv_143, 153: vision_conv_153, 172: dm_conv_172}[getenv("NUM", 143)]()
compiler = Device.default.compiler
renderer = Device.default.renderer
allocator = Device.default.allocator
uops = full_rewrite(ast, renderer)
src = renderer.render(uops)
lib = compiler.compile(src)
ps = ProgramSpec("conv", src, Device.DEFAULT, ast, uops)
cr = CompiledRunner(ps, precompiled=lib)
ps = get_program(ast, renderer)
cr = CompiledRunner(replace(ps, device=Device.DEFAULT))
gs = sorted(dedup([u for u in ast.toposort() if u.op is Ops.DEFINE_GLOBAL]), key=lambda u: u.arg)
# print(len(gs))
-225
View File
@@ -1,225 +0,0 @@
# [<buf device:HIP size:1605632 dtype:dtypes.float>, <buf device:HIP size:301506 dtype:dtypes.float>, <buf device:HIP size:9408 dtype:dtypes.float>]
from tinygrad import Device, dtypes
from tinygrad.device import Buffer, CompiledRunner
import ctypes
import gpuctypes.hip as hip
from tinygrad.helpers import to_char_p_p, init_c_var
def get_bytes(arg, get_sz, get_str, check) -> bytes: return (sz := init_c_var(ctypes.c_size_t(), lambda x: check(get_sz(arg, ctypes.byref(x)))), ctypes.string_at(init_c_var(ctypes.create_string_buffer(sz.value), lambda x: check(get_str(arg, x))), size=sz.value))[1] # noqa: E501
def check(status):
if status != 0: raise RuntimeError(f"HIP Error {status}, {ctypes.string_at(hip.hipGetErrorString(status)).decode()}")
def compile_hip(prg:str, arch="gfx1100") -> bytes:
check(hip.hiprtcCreateProgram(ctypes.byref(prog := hip.hiprtcProgram()), prg.encode(), "<null>".encode(), 0, None, None))
compile_options = [f'--offload-arch={arch}', '-I/opt/rocm/include']
status = hip.hiprtcCompileProgram(prog, len(compile_options), to_char_p_p([o.encode() for o in compile_options]))
if status != 0: raise RuntimeError(f"compile failed: {get_bytes(prog, hip.hiprtcGetProgramLogSize, hip.hiprtcGetProgramLog, check).decode()}")
return get_bytes(prog, hip.hiprtcGetCodeSize, hip.hiprtcGetCode, check)
prefix = """
typedef long unsigned int size_t;
extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_local_id(unsigned int);
extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_group_id(unsigned int);
extern "C" __attribute__((device)) __attribute__((const)) size_t __ockl_get_local_size(unsigned int);
typedef float float2 __attribute__((ext_vector_type(2)));
static inline __attribute__((device)) float2 make_float2(float x, float y) { return {x, y}; }
"""
code = """
extern "C" __attribute__((global))void r_2_8_7_7_4_8_3_7_7_4_4_2_2(float* data0, const float* data1, const float* data2) {
int gidx0 = __ockl_get_group_id(2); /* 2 */
int gidx1 = __ockl_get_group_id(1); /* 8 */
int gidx2 = __ockl_get_group_id(0); /* 49 */
int lidx4 = __ockl_get_local_id(1); /* 4 */
int lidx5 = __ockl_get_local_id(0); /* 8 */
float2 acc0 = make_float2(0.0f,0.0f);
float2 acc1 = make_float2(0.0f,0.0f);
float2 acc2 = make_float2(0.0f,0.0f);
float2 acc3 = make_float2(0.0f,0.0f);
float2 acc4 = make_float2(0.0f,0.0f);
float2 acc5 = make_float2(0.0f,0.0f);
float2 acc6 = make_float2(0.0f,0.0f);
float2 acc7 = make_float2(0.0f,0.0f);
float2 acc8 = make_float2(0.0f,0.0f);
float2 acc9 = make_float2(0.0f,0.0f);
float2 acc10 = make_float2(0.0f,0.0f);
float2 acc11 = make_float2(0.0f,0.0f);
float2 acc12 = make_float2(0.0f,0.0f);
float2 acc13 = make_float2(0.0f,0.0f);
float2 acc14 = make_float2(0.0f,0.0f);
float2 acc15 = make_float2(0.0f,0.0f);
float2 acc16 = make_float2(0.0f,0.0f);
float2 acc17 = make_float2(0.0f,0.0f);
float2 acc18 = make_float2(0.0f,0.0f);
float2 acc19 = make_float2(0.0f,0.0f);
float2 acc20 = make_float2(0.0f,0.0f);
float2 acc21 = make_float2(0.0f,0.0f);
float2 acc22 = make_float2(0.0f,0.0f);
float2 acc23 = make_float2(0.0f,0.0f);
float2 acc24 = make_float2(0.0f,0.0f);
float2 acc25 = make_float2(0.0f,0.0f);
float2 acc26 = make_float2(0.0f,0.0f);
float2 acc27 = make_float2(0.0f,0.0f);
float2 acc28 = make_float2(0.0f,0.0f);
float2 acc29 = make_float2(0.0f,0.0f);
float2 acc30 = make_float2(0.0f,0.0f);
float2 acc31 = make_float2(0.0f,0.0f);
int alu0 = (gidx2/7);
int alu1 = (gidx2%7);
int alu2 = (alu1*32);
int alu3 = (lidx5*4);
int alu4 = ((gidx0*802816)+(gidx1*100352)+(alu0*1792)+(alu1*16)+(lidx4*448)+(lidx5*2));
for (int ridx0 = 0; ridx0 < 3; ridx0++) {
for (int ridx1 = 0; ridx1 < 7; ridx1++) {
int alu5 = ((alu0*(-32))+(lidx4*(-8))+(ridx1*(-1)));
bool alu6 = (alu5<(-2));
bool alu7 = (alu5<0);
bool alu8 = (((alu0*32)+(lidx4*8)+ridx1)<221);
for (int ridx2 = 0; ridx2 < 7; ridx2++) {
int alu9 = ((gidx0*150528)+(ridx0*50176)+(alu0*7168)+(lidx4*1792)+(ridx1*224)+alu2+alu3+ridx2);
int alu10 = ((alu1*(-32))+(lidx5*(-4))+(ridx2*(-1)));
bool alu11 = (alu10<(-2));
float val0 = 0.0f;
if ((alu6*alu11)) { val0 = data1[alu9+(-675)]; }
float val1 = 0.0f;
if ((alu7*alu11)) { val1 = data1[alu9+(-227)]; }
float val2 = 0.0f;
if (alu11) { val2 = data1[alu9+221]; }
float val3 = 0.0f;
if ((alu8*alu11)) { val3 = data1[alu9+669]; }
bool alu12 = (alu10<0);
bool alu13 = ((alu2+alu3+ridx2)<225);
float val4 = 0.0f;
if ((alu6*alu12*alu13)) { val4 = data1[alu9+(-673)]; }
float val5 = 0.0f;
if ((alu7*alu12*alu13)) { val5 = data1[alu9+(-225)]; }
float val6 = 0.0f;
if ((alu12*alu13)) { val6 = data1[alu9+223]; }
float val7 = 0.0f;
if ((alu8*alu12*alu13)) { val7 = data1[alu9+671]; }
int alu14 = ((gidx1*1176)+(ridx0*49)+(ridx1*7)+ridx2);
float val8 = data2[alu14];
float val9 = data2[alu14+147];
float val10 = data2[alu14+294];
float val11 = data2[alu14+441];
float val12 = data2[alu14+588];
float val13 = data2[alu14+735];
float val14 = data2[alu14+882];
float val15 = data2[alu14+1029];
(acc0).x = ((val0*val8)+(acc0).x);
(acc1).x = ((val0*val9)+(acc1).x);
(acc2).x = ((val0*val10)+(acc2).x);
(acc3).x = ((val0*val11)+(acc3).x);
(acc4).x = ((val1*val8)+(acc4).x);
(acc5).x = ((val1*val9)+(acc5).x);
(acc6).x = ((val1*val10)+(acc6).x);
(acc7).x = ((val1*val11)+(acc7).x);
(acc8).x = ((val2*val8)+(acc8).x);
(acc9).x = ((val2*val9)+(acc9).x);
(acc10).x = ((val2*val10)+(acc10).x);
(acc11).x = ((val2*val11)+(acc11).x);
(acc12).x = ((val3*val8)+(acc12).x);
(acc13).x = ((val3*val9)+(acc13).x);
(acc14).x = ((val3*val10)+(acc14).x);
(acc15).x = ((val3*val11)+(acc15).x);
(acc16).x = ((val0*val12)+(acc16).x);
(acc17).x = ((val0*val13)+(acc17).x);
(acc18).x = ((val0*val14)+(acc18).x);
(acc19).x = ((val0*val15)+(acc19).x);
(acc20).x = ((val1*val12)+(acc20).x);
(acc21).x = ((val1*val13)+(acc21).x);
(acc22).x = ((val1*val14)+(acc22).x);
(acc23).x = ((val1*val15)+(acc23).x);
(acc24).x = ((val2*val12)+(acc24).x);
(acc25).x = ((val2*val13)+(acc25).x);
(acc26).x = ((val2*val14)+(acc26).x);
(acc27).x = ((val2*val15)+(acc27).x);
(acc28).x = ((val3*val12)+(acc28).x);
(acc29).x = ((val3*val13)+(acc29).x);
(acc30).x = ((val3*val14)+(acc30).x);
(acc31).x = ((val3*val15)+(acc31).x);
(acc0).y = ((val4*val8)+(acc0).y);
(acc1).y = ((val4*val9)+(acc1).y);
(acc2).y = ((val4*val10)+(acc2).y);
(acc3).y = ((val4*val11)+(acc3).y);
(acc4).y = ((val5*val8)+(acc4).y);
(acc5).y = ((val5*val9)+(acc5).y);
(acc6).y = ((val5*val10)+(acc6).y);
(acc7).y = ((val5*val11)+(acc7).y);
(acc8).y = ((val6*val8)+(acc8).y);
(acc9).y = ((val6*val9)+(acc9).y);
(acc10).y = ((val6*val10)+(acc10).y);
(acc11).y = ((val6*val11)+(acc11).y);
(acc12).y = ((val7*val8)+(acc12).y);
(acc13).y = ((val7*val9)+(acc13).y);
(acc14).y = ((val7*val10)+(acc14).y);
(acc15).y = ((val7*val11)+(acc15).y);
(acc16).y = ((val4*val12)+(acc16).y);
(acc17).y = ((val4*val13)+(acc17).y);
(acc18).y = ((val4*val14)+(acc18).y);
(acc19).y = ((val4*val15)+(acc19).y);
(acc20).y = ((val5*val12)+(acc20).y);
(acc21).y = ((val5*val13)+(acc21).y);
(acc22).y = ((val5*val14)+(acc22).y);
(acc23).y = ((val5*val15)+(acc23).y);
(acc24).y = ((val6*val12)+(acc24).y);
(acc25).y = ((val6*val13)+(acc25).y);
(acc26).y = ((val6*val14)+(acc26).y);
(acc27).y = ((val6*val15)+(acc27).y);
(acc28).y = ((val7*val12)+(acc28).y);
(acc29).y = ((val7*val13)+(acc29).y);
(acc30).y = ((val7*val14)+(acc30).y);
(acc31).y = ((val7*val15)+(acc31).y);
}
}
}
*((float2*)(data0+alu4)) = acc0;
*((float2*)(data0+alu4+12544)) = acc1;
*((float2*)(data0+alu4+25088)) = acc2;
*((float2*)(data0+alu4+37632)) = acc3;
*((float2*)(data0+alu4+112)) = acc4;
*((float2*)(data0+alu4+12656)) = acc5;
*((float2*)(data0+alu4+25200)) = acc6;
*((float2*)(data0+alu4+37744)) = acc7;
*((float2*)(data0+alu4+224)) = acc8;
*((float2*)(data0+alu4+12768)) = acc9;
*((float2*)(data0+alu4+25312)) = acc10;
*((float2*)(data0+alu4+37856)) = acc11;
*((float2*)(data0+alu4+336)) = acc12;
*((float2*)(data0+alu4+12880)) = acc13;
*((float2*)(data0+alu4+25424)) = acc14;
*((float2*)(data0+alu4+37968)) = acc15;
*((float2*)(data0+alu4+50176)) = acc16;
*((float2*)(data0+alu4+62720)) = acc17;
*((float2*)(data0+alu4+75264)) = acc18;
*((float2*)(data0+alu4+87808)) = acc19;
*((float2*)(data0+alu4+50288)) = acc20;
*((float2*)(data0+alu4+62832)) = acc21;
*((float2*)(data0+alu4+75376)) = acc22;
*((float2*)(data0+alu4+87920)) = acc23;
*((float2*)(data0+alu4+50400)) = acc24;
*((float2*)(data0+alu4+62944)) = acc25;
*((float2*)(data0+alu4+75488)) = acc26;
*((float2*)(data0+alu4+88032)) = acc27;
*((float2*)(data0+alu4+50512)) = acc28;
*((float2*)(data0+alu4+63056)) = acc29;
*((float2*)(data0+alu4+75600)) = acc30;
*((float2*)(data0+alu4+88144)) = acc31;
}
"""
dev = "HIP"
lib = Device[dev].compiler.compile(prefix+code)
#lib = compile_hip(code)
b0 = Buffer(dev, 1605632, dtypes.float)
b1 = Buffer(dev, 301506, dtypes.float)
b2 = Buffer(dev, 9408, dtypes.float)
print(hex(b0._buf.value), hex(b0._buf.value+1605632*4))
print(hex(b1._buf.value))
print(hex(b2._buf.value))
#prg = CompiledRunner("r_2_8_7_7_4_8_3_7_7_4_4_2_2", "", dev, [7, 1, 1], [8, 4, 1], precompiled=lib)
prg = CompiledRunner("r_2_8_7_7_4_8_3_7_7_4_4_2_2", "", dev, [49, 8, 2], [8, 4, 1], precompiled=lib)
print("compiled")
prg([b0, b1, b2], {})
print("ran")
Device[dev].synchronize()
print("sync")
+16 -16
View File
@@ -2,7 +2,7 @@ import unittest
from tinygrad.runtime.support.am.amdev import AMMemoryManager, AMPageTableEntry
from tinygrad.runtime.support.am.ip import AM_GMC
from tinygrad.runtime.support.hcq import MMIOInterface
from tinygrad.runtime.support.memory import PageTableTraverseContext
from tinygrad.runtime.support.memory import PageTableTraverseContext, AddrSpace
from tinygrad.runtime.autogen.am import am
from tinygrad.helpers import mv_address
@@ -70,7 +70,7 @@ class TestAMPageTable(unittest.TestCase):
for va,sz in [(0x10000, 0x3000), (0x11000, 0x300000), (0x10000, 0x2000), (0x11000, 0x5000),
(0x2000000, 0x2000), (0x4000000, 0x4000000), (0x38000, 0x303000), (0x8000, 0x1000)]:
mm.map_range(vaddr=helper_va(va), size=sz, paddrs=[(va, sz)])
mm.map_range(vaddr=helper_va(va), size=sz, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
ctx = PageTableTraverseContext(self.d[0], mm.root_page_table, helper_va(va))
results = list(ctx.next(sz))
@@ -102,8 +102,8 @@ class TestAMPageTable(unittest.TestCase):
mm0 = self.d[0].mm
for (va1,sz1),(va2,sz2) in [((0x10000, (0x1000)), (0x11000, (2 << 20)))]:
mm0.map_range(vaddr=helper_va(va1), size=sz1, paddrs=[(va1, sz1)])
mm0.map_range(vaddr=helper_va(va2), size=sz2, paddrs=[(va2, sz2)])
mm0.map_range(vaddr=helper_va(va1), size=sz1, paddrs=[(va1, sz1)], aspace=AddrSpace.PHYS)
mm0.map_range(vaddr=helper_va(va2), size=sz2, paddrs=[(va2, sz2)], aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(va2), sz2)
mm0.unmap_range(helper_va(va1), sz1)
@@ -112,24 +112,24 @@ class TestAMPageTable(unittest.TestCase):
for va,sz in [(0x10000, 0x3000), (0x1000000, 0x1000000), (0x12000, 0x4000)]:
exteranl_va = helper_va(va)
mm0.map_range(vaddr=exteranl_va, size=sz, paddrs=[(va, sz)])
mm0.map_range(vaddr=exteranl_va, size=sz, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
with self.assertRaises(AssertionError):
mm0.map_range(vaddr=exteranl_va, size=0x1000, paddrs=[(va, sz)])
mm0.map_range(vaddr=exteranl_va, size=0x1000, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
with self.assertRaises(AssertionError):
mm0.map_range(vaddr=exteranl_va, size=0x100000, paddrs=[(va, sz)])
mm0.map_range(vaddr=exteranl_va, size=0x100000, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
with self.assertRaises(AssertionError):
mm0.map_range(vaddr=exteranl_va + 0x1000, size=0x1000, paddrs=[(va, sz)])
mm0.map_range(vaddr=exteranl_va + 0x1000, size=0x1000, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
with self.assertRaises(AssertionError):
mm0.map_range(vaddr=exteranl_va + 0x2000, size=0x100000, paddrs=[(va, sz)])
mm0.map_range(vaddr=exteranl_va + 0x2000, size=0x100000, paddrs=[(va, sz)], aspace=AddrSpace.PHYS)
mm0.unmap_range(vaddr=exteranl_va, size=sz)
# Finally can map and check paddrs
mm0.map_range(vaddr=exteranl_va + 0x2000, size=0x100000, paddrs=[(0xdead0000, 0x1000), (0xdead1000, 0xff000)])
mm0.map_range(vaddr=exteranl_va + 0x2000, size=0x100000, paddrs=[(0xdead0000, 0x1000), (0xdead1000, 0xff000)], aspace=AddrSpace.PHYS)
ctx = PageTableTraverseContext(self.d[0], mm0.root_page_table, exteranl_va + 0x2000)
for tup in ctx.next(0x100000):
@@ -147,13 +147,13 @@ class TestAMPageTable(unittest.TestCase):
with self.assertRaises(AssertionError):
mm0.unmap_range(helper_va(0x10000), 0x3000)
mm0.map_range(helper_va(0x10000), 0x3000, paddrs=[(0x10000, 0x3000)])
mm0.map_range(helper_va(0x10000), 0x3000, paddrs=[(0x10000, 0x3000)], aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x10000), 0x3000)
with self.assertRaises(AssertionError):
mm0.unmap_range(helper_va(0x10000), 0x3000)
mm0.map_range(helper_va(0x10000), 0x3000, paddrs=[(0x10000, 0x3000)])
mm0.map_range(helper_va(0x10000), 0x3000, paddrs=[(0x10000, 0x3000)], aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x10000), 0x3000)
with self.assertRaises(AssertionError):
@@ -164,16 +164,16 @@ class TestAMPageTable(unittest.TestCase):
# offset from start
for off in [0, 0x3000, 0x10000]:
mm0.map_range(helper_va(0x1000000) + off, (2 << 20) - off, paddrs=[(0x10000, 0x1000)] * (512 - off // 0x1000))
mm0.map_range(helper_va(0x1000000) + off, (2 << 20) - off, paddrs=[(0x10000, 0x1000)] * (512 - off // 0x1000), aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x1000000) + off, (2 << 20) - off)
mm0.map_range(helper_va(0x1000000), 2 << 20, paddrs=[(0x10000, 2 << 20)])
mm0.map_range(helper_va(0x1000000), 2 << 20, paddrs=[(0x10000, 2 << 20)], aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x1000000), 2 << 20)
# offset from end
for off in [0x1000, 0x20000]:
mm0.map_range(helper_va(0x1000000), (2 << 20) - off, paddrs=[(0x10000, 0x1000)] * (512 - off // 0x1000))
mm0.map_range(helper_va(0x1000000), (2 << 20) - off, paddrs=[(0x10000, 0x1000)] * (512 - off // 0x1000), aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x1000000), (2 << 20) - off)
mm0.map_range(helper_va(0x1000000), 2 << 20, paddrs=[(0x10000, 2 << 20)])
mm0.map_range(helper_va(0x1000000), 2 << 20, paddrs=[(0x10000, 2 << 20)], aspace=AddrSpace.PHYS)
mm0.unmap_range(helper_va(0x1000000), 2 << 20)
def test_frag_size(self):
File diff suppressed because one or more lines are too long
-60
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@@ -1,60 +0,0 @@
import unittest, struct, array, ctypes
from tinygrad import Device, dtypes, Tensor
from tinygrad.helpers import to_mv
from tinygrad.runtime.ops_nv import NVDevice, HWQueue
from tinygrad.codegen.opt.search import Opt, OptOps
from tinygrad.engine.realize import get_runner, CompiledRunner, get_program
from test.external.fuzz_linearizer import get_fuzz_rawbufs
from tinygrad.codegen.opt.kernel import Kernel
from tinygrad.uop.ops import LazyOp, Ops, ReduceOps, BufferOps, MemBuffer
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
@unittest.skipUnless(Device.DEFAULT == "NV", "NV specific tests/fixes")
class TestNV(unittest.TestCase):
@classmethod
def setUpClass(self):
TestNV.d0: NVDevice = Device["NV"]
TestNV.a = Tensor([0.,1.], device="NV").realize()
TestNV.b = self.a + 1
si = self.b.schedule()[-1]
TestNV.d0_runner = get_runner(TestNV.d0.device, si.ast)
TestNV.b.uop.buffer.allocate()
TestNV.addr = struct.pack("QQ", TestNV.b.uop.buffer._buf.va_addr, TestNV.a.uop.buffer._buf.va_addr)
def test_error_on_huge_dims(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=Ops.CAST, src=(LazyOp(op=Ops.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 683), strides=(0, 0, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 683), strides=(0, 0, 683, 1), offset=0, mask=None, contiguous=True),))))), arg=None),), arg=dtypes.float),), arg=(3,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 1), strides=(0, 0, 1, 0), offset=0, mask=None, contiguous=True),)))) # noqa: E501
opts = [Opt(op=OptOps.GROUP, axis=0, arg=0), Opt(op=OptOps.PADTO, axis=1, arg=32), Opt(op=OptOps.UNROLL, axis=0, arg=4), Opt(op=OptOps.LOCAL, axis=0, arg=2), Opt(op=OptOps.LOCAL, axis=0, arg=2)] # noqa: E501
with self.assertRaises(RuntimeError) as cm:
lin = Kernel(ast)
lin.apply_opts(opts)
rawbufs = get_fuzz_rawbufs(lin)
prg = CompiledRunner(get_program(lin.get_optimized_ast(), lin.opts))
prg(rawbufs, {}, wait=True)
self.assertEqual(str(cm.exception), "This is a runtime error message")
def test_buf4_usage(self):
TestNV.along = Tensor([105615], device="NV").realize()
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=Ops.SIN, src=(LazyOp(op=Ops.CAST, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.ulong, st=ShapeTracker(views=(View(shape=(3,), strides=(1,), offset=0, mask=None, contiguous=True),)))),), arg=dtypes.float),), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(3,), strides=(1,), offset=0, mask=None, contiguous=True),)))) # noqa: E501
temp_runner = get_runner(TestNV.d0.device, (ast,))
temp_runner([TestNV.b.uop.buffer, TestNV.along.uop.buffer], var_vals={})
val = TestNV.b.uop.buffer.as_buffer().cast("f")[0]
assert abs(val - 0.80647) < 0.001, f"got val {val}"
def test_kernargs_no_oob_access(self):
kernargs_start = TestNV.d0._gpu_alloc((2 << 20), map_to_cpu=True).va_addr
kernargs = kernargs_start + ((2 << 20) - TestNV.d0_runner._prg.kernargs_alloc_size)
to_mv(kernargs, 0x160).cast('I')[:] = array.array('I', TestNV.d0_runner._prg.constbuffer_0)
ctypes.memmove(kernargs + TestNV.d0_runner._prg.kernargs_offset, TestNV.addr, len(TestNV.addr))
q = HWQueue()
q.exec(TestNV.d0_runner._prg, kernargs, TestNV.d0_runner.global_size, TestNV.d0_runner.local_size)
q.signal(TestNV.d0.timeline_signal, TestNV.d0.timeline_value).submit(TestNV.d0)
TestNV.d0._wait_signal(TestNV.d0.timeline_signal, TestNV.d0.timeline_value)
TestNV.d0.timeline_value += 1
val = TestNV.b.uop.buffer.as_buffer().cast("f")[0]
assert val == 1.0, f"got val {val}"
if __name__ == "__main__":
unittest.main()
-61
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@@ -1,61 +0,0 @@
import random
from tinygrad.helpers import DEBUG, getenv
from test.unit.test_shapetracker import CheckingShapeTracker
def do_permute(st):
perm = list(range(0, len(st.shape)))
random.shuffle(perm)
perm = tuple(perm)
if DEBUG >= 1: print("st.permute(", perm, ")")
st.permute(perm)
def do_pad(st):
c = random.randint(0, len(st.shape)-1)
pad = tuple((random.randint(0,2), random.randint(0,2)) if i==c else (0,0) for i in range(len(st.shape)))
if DEBUG >= 1: print("st.pad(", pad, ")")
st.pad(pad)
def do_reshape_split_one(st):
c = random.randint(0, len(st.shape)-1)
poss = [n for n in [1,2,3,4,5] if st.shape[c]%n == 0]
spl = random.choice(poss)
shp = st.shape[0:c] + (st.shape[c]//spl, spl) + st.shape[c+1:]
if DEBUG >= 1: print("st.reshape(", shp, ")")
st.reshape(shp)
def do_reshape_combine_two(st):
if len(st.shape) < 2: return
c = random.randint(0, len(st.shape)-2)
shp = st.shape[:c] + (st.shape[c] * st.shape[c+1], ) + st.shape[c+2:]
if DEBUG >= 1: print("st.reshape(", shp, ")")
st.reshape(shp)
def do_shrink(st):
c = random.randint(0, len(st.shape)-1)
while 1:
shrink = tuple((random.randint(0,s), random.randint(0,s)) if i == c else (0,s) for i,s in enumerate(st.shape))
if all(x<y for (x,y) in shrink): break
if DEBUG >= 1: print("st.shrink(", shrink, ")")
st.shrink(shrink)
def do_flip(st):
flip = tuple(random.random() < 0.5 for _ in st.shape)
if DEBUG >= 1: print("st.flip(", flip, ")")
st.flip(flip)
def do_expand(st):
c = [i for i,s in enumerate(st.shape) if s==1]
if len(c) == 0: return
c = random.choice(c)
expand = tuple(random.choice([2,3,4]) if i==c else s for i,s in enumerate(st.shape))
if DEBUG >= 1: print("st.expand(", expand, ")")
st.expand(expand)
shapetracker_ops = [do_permute, do_pad, do_shrink, do_reshape_split_one, do_reshape_combine_two, do_flip, do_expand]
if __name__ == "__main__":
random.seed(42)
for _ in range(getenv("CNT", 200)):
st = CheckingShapeTracker((random.randint(2, 10), random.randint(2, 10), random.randint(2, 10)))
for i in range(8): random.choice(shapetracker_ops)(st)
st.assert_same()
-34
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@@ -1,34 +0,0 @@
import random
from tinygrad.helpers import getenv, DEBUG, colored, trange
from tinygrad.shape.shapetracker import ShapeTracker
from test.external.fuzz_shapetracker import shapetracker_ops
from test.unit.test_shapetracker_math import st_equal, MultiShapeTracker
def fuzz_plus() -> tuple[ShapeTracker, ShapeTracker]:
m = MultiShapeTracker([ShapeTracker.from_shape((random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)))])
for _ in range(4): random.choice(shapetracker_ops)(m)
backup = m.sts[0]
m.sts.append(ShapeTracker.from_shape(m.sts[0].shape))
for _ in range(4): random.choice(shapetracker_ops)(m)
st_sum = backup + m.sts[1]
return m.sts[0], st_sum
if __name__ == "__main__":
if seed:=getenv("SEED"): random.seed(seed)
total = getenv("CNT", 1000)
for fuzz in [globals()[f'fuzz_{x}'] for x in getenv("FUZZ", "plus").split(",")]:
same_but_neq = 0
for _ in trange(total, desc=f"{fuzz}"):
st1, st2 = fuzz()
eq = st_equal(st1, st2)
if getenv("CHECK_NEQ") and eq and st1.simplify() != st2.simplify():
print(colored("same but unequal", "yellow"))
print(st1.simplify())
print(st2.simplify())
same_but_neq += 1
if DEBUG >= 1:
print(f"EXP: {st1}")
print(f"GOT: {st2}")
print(colored("****", "green" if eq else "red"))
if not eq: exit(0)
if getenv("CHECK_NEQ"): print(f"same but unequal {same_but_neq}/{total} = {(same_but_neq/total)*100:.2f}%")
+16 -8
View File
@@ -2,18 +2,27 @@ import os, time, struct, functools, unittest
from typing import Any, Callable
import numpy as np
from tinygrad import Tensor, dtypes, Device
from tinygrad.uop.ops import UOp, Ops
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.tensor import _to_np_dtype
from tinygrad.engine.realize import Runner
from tinygrad.engine.realize import Runner, get_program
from tinygrad.dtype import DType
from tinygrad.nn.state import get_parameters
from tinygrad.helpers import T, CI
from tinygrad.codegen import full_rewrite
from tinygrad.renderer import Renderer
from tinygrad.codegen import full_rewrite_to_sink, line_rewrite, pm_linearize_cleanups
from tinygrad.codegen.late.linearizer import linearize
# decorator to skip slow tests by default, run with RUN_SLOW=1 to include them
slow = unittest.skipUnless(os.getenv("RUN_SLOW"), "slow test, set RUN_SLOW=1 to run")
from tinygrad.runtime.ops_python import PythonProgram, PythonRenderer, PythonCompiler
def get_uops(sink:UOp, ren:Renderer|None=None) -> list[UOp]:
"""Extract linearized UOps from a sink. Test helper that only does linearization (no render)."""
if ren is None: ren = Renderer()
if sink.arg is None: sink = sink.replace(arg=KernelInfo())
full_sink = full_rewrite_to_sink(sink, ren, optimize=sink.tag is None)
return line_rewrite(linearize(full_sink), pm_linearize_cleanups)
def derandomize_model(model):
for p in get_parameters(model):
p.replace(Tensor.empty(p.shape, device=p.device, dtype=p.dtype))
@@ -51,13 +60,12 @@ def eval_uop(uop:UOp, inputs:list[tuple[DType, list[Any]]]|None=None):
bufs = []
for buf_dt, data in inputs or []:
bufs.append(buf:=allocator.alloc(len(data) * buf_dt.itemsize))
allocator._copyin(buf, memoryview(struct.pack(str(len(data)) + buf_dt.fmt, *data)))
allocator._copyin(buf, memoryview(struct.pack(str(len(data)) + (buf_dt.fmt or ""), *data)))
g = UOp(Ops.DEFINE_GLOBAL, uop.dtype.ptr(), arg=0, src=())
opts = PythonRenderer()
lst = full_rewrite(UOp.store(g.index(UOp.const(dtypes.int, 0)), uop).sink(), opts)
prog = PythonProgram("run", PythonCompiler().compile(opts.render(lst)))
prg = get_program(UOp.store(g.index(UOp.const(dtypes.int, 0)), uop).sink(), PythonRenderer())
prog = PythonProgram("run", PythonCompiler().compile(prg.src))
prog(out_buf:=allocator.alloc(uop.dtype.itemsize), *bufs)
return out_buf.cast(uop.dtype.fmt).tolist()[0]
return out_buf.cast(uop.dtype.fmt or "").tolist()[0]
def not_support_multi_device():
# CL and CUDA don't support multi device if in CI
+15 -6
View File
@@ -52,6 +52,7 @@ class AMDDriver(VirtDriver):
self.doorbells = {}
self.next_doorbell = collections.defaultdict(int)
self.mmu_event_ids = []
self._executing = False # re-entrancy guard for _emulate_execute
for i in range(gpus): self._prepare_gpu(i+1)
@@ -125,6 +126,9 @@ class AMDDriver(VirtDriver):
if struct.gpu_id not in self.gpus: return -1
struct.handle = self._alloc_handle()
self.object_by_handle[struct.handle] = copy.deepcopy(struct) # save memory struct to know what mem it is
# Track signal memory (uncached + coherent) - progress queues when written to
if struct.flags & kfd.KFD_IOC_ALLOC_MEM_FLAGS_UNCACHED:
self.track_address(struct.va_addr, struct.va_addr + struct.size, lambda mv,off: None, lambda mv, off: self._emulate_execute())
elif nr == kfd_ioctls.AMDKFD_IOC_FREE_MEMORY_OF_GPU:
self.object_by_handle.pop(struct.handle)
elif nr == kfd_ioctls.AMDKFD_IOC_MAP_MEMORY_TO_GPU:
@@ -173,9 +177,14 @@ class AMDDriver(VirtDriver):
return 0
def _emulate_execute(self):
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.executing: any_progress |= q.execute() > 0
if self._executing: return # prevent re-entrancy
self._executing = True
try:
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.executing: any_progress |= q.execute() > 0
finally:
self._executing = False
+5
View File
@@ -7,6 +7,7 @@ import tinygrad.runtime.autogen.amd_gpu as amd_gpu, tinygrad.runtime.autogen.am.
SDMA_MAX_COPY_SIZE = 0x400000
regCOMPUTE_PGM_LO = 0x1bac + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_PGM_RSRC2 = 0x1bb3 + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_USER_DATA_0 = 0x1be0 + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_NUM_THREAD_X = 0x1ba7 + amd_gpu.GC_BASE__INST0_SEG0
regGRBM_GFX_INDEX = 0x2200 + amd_gpu.GC_BASE__INST0_SEG1
@@ -179,12 +180,16 @@ class PM4Executor(AMDQueue):
prg_addr = (self.gpu.regs[regCOMPUTE_PGM_LO] + (self.gpu.regs[regCOMPUTE_PGM_LO + 1] << 32)) << 8
args_addr = self.gpu.regs[regCOMPUTE_USER_DATA_0] + (self.gpu.regs[regCOMPUTE_USER_DATA_0 + 1] << 32)
lc = [self.gpu.regs[i] for i in range(regCOMPUTE_NUM_THREAD_X, regCOMPUTE_NUM_THREAD_X+3)]
rsrc2 = self.gpu.regs[regCOMPUTE_PGM_RSRC2]
prg_sz = 0
for st,sz in self.gpu.mapped_ranges:
if st <= prg_addr < st+sz: prg_sz = sz - (prg_addr - st)
assert prg_sz > 0, "Invalid prg ptr (not found in mapped ranges)"
# Pass valid memory ranges and rsrc2 to Python emulator for bounds checking and SGPR layout
if hasattr(remu, 'valid_mem_ranges'): remu.valid_mem_ranges = self.gpu.mapped_ranges
if hasattr(remu, 'rsrc2'): remu.rsrc2 = rsrc2
err = remu.run_asm(prg_addr, prg_sz, *gl, *lc, args_addr)
if err != 0: raise RuntimeError("remu does not support the new instruction introduced in this kernel")
+15
View File
@@ -1,4 +1,5 @@
import ctypes, ctypes.util
from tinygrad.helpers import getenv
def _try_dlopen_gpuocelot():
GPUOCELOT_PATHS = [ctypes.util.find_library("gpuocelot")] if ctypes.util.find_library("gpuocelot") is not None else []
@@ -14,7 +15,21 @@ def _try_dlopen_gpuocelot():
print("Could not find libgpuocelot.so")
return None
class PythonRemu:
"""Python RDNA3 emulator wrapper that matches the libremu.so interface."""
valid_mem_ranges: set[tuple[int, int]] = set()
rsrc2: int = 0x19c # Default: USER_SGPR_COUNT=14, enable X and Y workgroup IDs
def run_asm(self, lib: int, lib_sz: int, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, args_ptr: int) -> int:
from extra.assembly.amd.emu import run_asm, set_valid_mem_ranges
# Pad ranges to handle GPU loads that may read past small buffers (e.g. s_load_b128 on 12-byte buffer)
set_valid_mem_ranges({(start, size + 4096) for start, size in self.valid_mem_ranges})
return run_asm(lib, lib_sz, gx, gy, gz, lx, ly, lz, args_ptr, self.rsrc2)
def _try_dlopen_remu():
# Use Python emulator only if PYTHON_REMU=1
if getenv("PYTHON_REMU"):
return PythonRemu()
REMU_PATHS = ["extra/remu/target/release/libremu.so", "libremu.so", "/usr/local/lib/libremu.so",
"extra/remu/target/release/libremu.dylib", "libremu.dylib", "/usr/local/lib/libremu.dylib", "/opt/homebrew/lib/libremu.dylib"]
for path in REMU_PATHS:
+33 -12
View File
@@ -15,7 +15,7 @@ libc.munmap.restype = ctypes.c_int
NVSubDevice = collections.namedtuple('NVSubDevice', ['device'])
NVUserMode = collections.namedtuple('NVUserMode', ['subdevice'])
NVVASpace = collections.namedtuple('NVVASpace', ['device'])
NVAllocation = collections.namedtuple('NVAllocation', ['device', 'size'])
NVAllocation = collections.namedtuple('NVAllocation', ['device', 'size', 'is_signal'])
NVChannelGroup = collections.namedtuple('NVChannelGroup', ['device'])
NVContextShare = collections.namedtuple('NVContextShare', ['channel_group'])
NVGPFIFO = collections.namedtuple('NVGPFIFO', ['device', 'token'])
@@ -41,12 +41,14 @@ class NVDevFileDesc(VirtFileDesc):
super().__init__(fd)
self.driver, self.gpu = driver, gpu
self._mapping_userland = False
self._mapping_signal = False
def ioctl(self, fd, request, argp): return self.driver.dev_ioctl(self.gpu, request, argp)
def mmap(self, start, sz, prot, flags, fd, offset):
start = libc.mmap(start, sz, prot, flags|mmap.MAP_ANONYMOUS, -1, 0)
if self._mapping_userland:
if self._mapping_userland or self._mapping_signal:
self.driver.track_address(start, start+sz, lambda mv,off: None, lambda mv, off: self.driver._gpu_mmio_write(mv, off, self.gpu))
self._mapping_signal = False
return start
class NVDriver(VirtDriver):
@@ -65,6 +67,7 @@ class NVDriver(VirtDriver):
self.object_by_handle = {}
self.opened_fds = {}
self.next_doorbell = collections.defaultdict(int)
self._executing = False # re-entrancy guard for _gpu_mmio_write
for i in range(gpus): self._prepare_gpu(i)
@@ -115,7 +118,8 @@ class NVDriver(VirtDriver):
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
params = nv_gpu.NV_MEMORY_ALLOCATION_PARAMS.from_address(params_ptr)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVAllocation(self.object_by_handle[struct.hObjectParent], params.size)
is_signal = struct.hClass == nv_gpu.NV1_MEMORY_SYSTEM # signal memory uses NV1_MEMORY_SYSTEM (uncached)
self.object_by_handle[struct.hObjectNew] = NVAllocation(self.object_by_handle[struct.hObjectParent], params.size, is_signal)
elif struct.hClass == nv_gpu.KEPLER_CHANNEL_GROUP_A:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
struct.hObjectNew = self._alloc_handle()
@@ -206,7 +210,6 @@ class NVDriver(VirtDriver):
def ctl_ioctl(self, req, argp):
nr = req & 0xff
if nr == nv_gpu.NV_ESC_RM_ALLOC: return self.rm_alloc(argp)
elif nr == nv_gpu.NV_ESC_RM_ALLOC_MEMORY: pass
elif nr == nv_gpu.NV_ESC_RM_CONTROL: return self.rm_control(argp)
elif nr == nv_gpu.NV_ESC_RM_MAP_MEMORY:
st:Any = nv_gpu.nv_ioctl_nvos33_parameters_with_fd.from_address(argp)
@@ -215,6 +218,10 @@ class NVDriver(VirtDriver):
file = self.opened_fds[st.fd]
assert isinstance(file, NVDevFileDesc)
file._mapping_userland = True
elif isinstance(obj, NVAllocation) and obj.is_signal:
file = self.opened_fds[st.fd]
assert isinstance(file, NVDevFileDesc)
file._mapping_signal = True
elif nr == nv_gpu.NV_ESC_RM_FREE:
st = nv_gpu.NVOS00_PARAMETERS.from_address(argp)
self.object_by_handle.pop(st.hObjectOld)
@@ -256,12 +263,26 @@ class NVDriver(VirtDriver):
else: raise RuntimeError(f"Unknown {nr} to nvidia-uvm")
return 0
def dev_ioctl(self, dev, req, argp): return 0
def dev_ioctl(self, dev, req, argp):
nr = req & 0xff
# Handle NV_ESC_RM_ALLOC_MEMORY for host/signal memory
if nr == nv_gpu.NV_ESC_RM_ALLOC_MEMORY:
st:Any = nv_gpu.nv_ioctl_nvos02_parameters_with_fd.from_address(argp)
# Track host memory (signal memory) - progress queues when written to
if st.params.hClass == nv_gpu.NV01_MEMORY_SYSTEM_OS_DESCRIPTOR:
self.track_address(st.params.pMemory, st.params.pMemory + st.params.limit + 1,
lambda mv,off: None, lambda mv, off: self._gpu_mmio_write(mv, off, None))
return 0
def _gpu_mmio_write(self, mv, off, gpu):
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.ctrl.GPGet != q.ctrl.GPPut:
any_progress |= q.execute()
if self._executing: return # prevent re-entrancy
self._executing = True
try:
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.ctrl.GPGet != q.ctrl.GPPut:
any_progress |= q.execute()
finally:
self._executing = False
+2
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@@ -1,4 +1,6 @@
#!/usr/bin/env python
import os
os.environ['USE_TF'] = '0' # prevent transformers from importing tensorflow
import unittest
from tinygrad import Tensor
import numpy as np
+1 -1
View File
@@ -68,7 +68,7 @@ class TestEfficientNet(unittest.TestCase):
self.assertEqual(_LABELS[labels[0]], "sports car, sport car")
def test_chicken_car(self):
labels = _infer(self.model, np.concat([chicken_img, car_img], axis=0))
labels = _infer(self.model, np.concatenate([chicken_img, car_img], axis=0))
self.assertEqual(_LABELS[labels[0]], "hen")
self.assertEqual(_LABELS[labels[1]], "sports car, sport car")
+10
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@@ -193,6 +193,16 @@ class TestCustomKernel(unittest.TestCase):
err = (tst - (a@b)).square().max()
self.assertLess(err.item(), 1e-6)
def test_gemm_multi(self):
devs = ("CPU:0", "CPU:1")
N = 16
a = Tensor.randn(N, N).shard_(devs, axis=0)
b = Tensor.randn(N, N).to(devs)
c = Tensor(Tensor.empty(N//2, N, device=devs).uop.multi(0), device=devs)
tst = Tensor.custom_kernel(c, a, b, fxn=custom_gemm)[0]
err = (tst - (a@b)).square().max()
self.assertLess(err.item(), 1e-6)
def test_gemm_backward_custom(self): self.test_gemm_backward(True)
# NOTE: grad_fxn doesn't work with pyrender
def test_gemm_backward(self, custom_backward_gemm=False):
+10 -16
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@@ -9,7 +9,7 @@ from tinygrad.renderer.ptx import PTXRenderer
from tinygrad.renderer.nir import NIRRenderer
import numpy as np
import pytest
from hypothesis import assume, given, strategies as strat, settings, HealthCheck
from hypothesis import assume, given, strategies as strat, settings
pytestmark = pytest.mark.filterwarnings("ignore")
@@ -206,29 +206,23 @@ class TestDTypeALU(unittest.TestCase):
@given(ht.int32, strat.sampled_from(dtypes_float+dtypes_int+dtypes_bool))
def test_int32_cast(self, a, dtype): universal_test_cast(a, dtypes.int32, dtype)
@settings(suppress_health_check=[HealthCheck.filter_too_much])
@given(strat.data(), strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
@given(strat.floats(width=32, min_value=1.0, max_value=254.0, allow_subnormal=False),
strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
def test_float_cast_to_unsigned(self, a, float_dtype, unsigned_dtype):
if not is_dtype_supported(float_dtype): float_dtype = dtypes.float32
float_strat = {dtypes.float16: ht.float16, dtypes.float32: ht.float32, dtypes.float64: ht.float64}[float_dtype]
float_strat = float_strat.filter(lambda x: 0 < x < dtypes.max(unsigned_dtype))
universal_test_cast(a.draw(float_strat), float_dtype, unsigned_dtype)
universal_test_cast(a, float_dtype, unsigned_dtype)
@settings(suppress_health_check=[HealthCheck.filter_too_much])
@given(strat.data(), strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
@given(strat.floats(width=32, min_value=256.0, max_value=65000.0, allow_subnormal=False),
strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
def test_float_cast_to_unsigned_overflow(self, a, float_dtype, unsigned_dtype):
if not is_dtype_supported(float_dtype): float_dtype = dtypes.float32
float_strat = {dtypes.float16: ht.float16, dtypes.float32: ht.float32, dtypes.float64: ht.float64}[float_dtype]
overflow_strat = float_strat.filter(lambda x: x > dtypes.max(unsigned_dtype) and x <= dtypes.max(dtypes.int32))
universal_test_cast(a.draw(overflow_strat), float_dtype, unsigned_dtype)
universal_test_cast(a, float_dtype, unsigned_dtype)
@settings(suppress_health_check=[HealthCheck.filter_too_much])
@given(strat.data(), strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
@given(strat.floats(width=32, min_value=-65000.0, max_value=-1.0, allow_subnormal=False),
strat.sampled_from(dtypes_float), strat.sampled_from((dtypes.uint8, dtypes.uint16)))
def test_float_cast_to_unsigned_underflow(self, a, float_dtype, unsigned_dtype):
if not is_dtype_supported(float_dtype): float_dtype = dtypes.float32
float_strat = {dtypes.float16: ht.float16, dtypes.float32: ht.float32, dtypes.float64: ht.float64}[float_dtype]
underflow_strat = float_strat.filter(lambda x: x < 0 and x >= dtypes.min(dtypes.int32))
universal_test_cast(a.draw(underflow_strat), float_dtype, unsigned_dtype)
universal_test_cast(a, float_dtype, unsigned_dtype)
@unittest.expectedFailure
def test_unsafe_cast_float_to_int_failure(self):
+6
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@@ -57,12 +57,18 @@ class TestMultiTensor(unittest.TestCase):
assert lb.shape == (128,)
(X + X).realize()
@unittest.expectedFailure # TODO: fix
def test_shard_empty(self):
GlobalCounters.reset()
X = Tensor.empty(256).shard(devices_2, 0).realize()
assert GlobalCounters.kernel_count == 0
(X + X).realize()
def test_arange_shrink(self):
x = Tensor.arange(4)
self.assertEqual(x.shard(devices_2, 0).realize().shrink(((2, 4),)).tolist(), [2, 3])
self.assertEqual(x.shard(devices_2, 0).realize().shrink(((0, 2),)).tolist(), [0, 1])
def test_shard_like(self):
X = Tensor.ones(256).shard(devices_2, 0)
Y = Tensor.zeros(256).shard_like(X)
+16 -20
View File
@@ -1,30 +1,26 @@
import unittest
import numpy as np
from dataclasses import replace
from tinygrad.device import Buffer, Device, is_dtype_supported
from tinygrad.dtype import dtypes, ConstType
from tinygrad.engine.realize import CompiledRunner
from tinygrad.helpers import dedup, flatten, prod
from tinygrad.engine.realize import CompiledRunner, get_program
from tinygrad.helpers import prod
from tinygrad.renderer.cstyle import CStyleLanguage
from tinygrad.renderer.ptx import PTXRenderer
from tinygrad.renderer.wgsl import WGSLRenderer
from tinygrad.runtime.ops_python import PythonRenderer
from tinygrad.uop.ops import UOp, Ops, python_alu
from tinygrad.renderer import ProgramSpec
from tinygrad.tensor import Tensor, _to_np_dtype
from tinygrad.codegen import full_rewrite
def _test_uop_result(inputs:list[Tensor], stores:list[UOp], local_size=None):
def _test_uop_result(inputs:list[Tensor], prg, local_size=None):
for x in inputs: x.realize()
# NOTE: we only toposort the stores
uops: list[UOp] = []
def _recursive_add(uop:UOp) -> list[UOp]: return flatten([_recursive_add(x) for x in uop.src])+[uop]
uops = dedup(flatten(_recursive_add(st) for st in stores))
uops = prg.uops
outbufs = [Buffer(Device.DEFAULT, sz:=(1 if local_size is None else prod(local_size)), (dtype:=u.src[1].dtype), \
initial_value=np.zeros(sz, dtype=_to_np_dtype(dtype)).data) for u in uops if u.op is Ops.STORE]
inbufs = [x.uop.base.buffer for x in inputs]
src = Device[Device.DEFAULT].renderer.render(uops)
ei = CompiledRunner(ProgramSpec(uops[-1].arg.name if uops[-1].arg is not None else "test",
src, Device.DEFAULT, uops[-1], uops=uops, local_size=local_size))
prg = replace(prg, device=Device.DEFAULT)
if local_size is not None: prg = replace(prg, local_size=local_size)
ei = CompiledRunner(prg)
ei.exec(outbufs+inbufs)
return [np.frombuffer(x.as_buffer(), _to_np_dtype(x.dtype)) for x in outbufs]
@@ -37,8 +33,8 @@ def _setup_and_test_alu(alu_op:Ops, input_val:ConstType, *alu_src_uops:UOp):
alu = ld.alu(alu_op, *alu_src_uops)
store = UOp.store(a.index(idx), alu)
sink = UOp(Ops.SINK, dtypes.void, (store,))
uops = full_rewrite(sink, Device[Device.DEFAULT].renderer)
return _test_uop_result([Tensor([input_val])], uops)[0]
prg = get_program(sink, Device[Device.DEFAULT].renderer)
return _test_uop_result([Tensor([input_val])], prg)[0]
class TestRendererFailures(unittest.TestCase):
@unittest.skipIf(not isinstance(Device[Device.DEFAULT].renderer, (PTXRenderer, PythonRenderer)), "test is for ptx or python renderer")
@@ -47,8 +43,8 @@ class TestRendererFailures(unittest.TestCase):
gate_alu = (lidx0:=UOp(Ops.SPECIAL, dtypes.int, (UOp.const(dtypes.int, 4),), 'lidx0')).ne(0)
gated_alu_store = UOp(Ops.STORE, dtypes.void, (a.index(lidx0.valid(gate_alu)), UOp.const(dtypes.int, 1)))
sink = UOp(Ops.SINK, dtypes.void, (gated_alu_store,))
uops = full_rewrite(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], uops, local_size=[4, 1, 1])[0]
prg = get_program(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], prg, local_size=[4, 1, 1])[0]
np.testing.assert_equal(ret, [0, 1, 1, 1])
@unittest.skipIf(not isinstance(Device[Device.DEFAULT].renderer, (PTXRenderer, PythonRenderer)), "test is for ptx or python renderer")
@@ -58,8 +54,8 @@ class TestRendererFailures(unittest.TestCase):
gate_alu_1 = (lidx1:=UOp(Ops.SPECIAL, dtypes.int, (UOp.const(dtypes.int, 2),), 'lidx1')).ne(0)
gated_alu_store = UOp(Ops.STORE, dtypes.void, (a.index((lidx0+lidx1*4).valid(gate_alu_0&gate_alu_1)), UOp.const(dtypes.int, 1)))
sink = UOp(Ops.SINK, dtypes.void, (gated_alu_store,))
uops = full_rewrite(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], uops, local_size=[4, 2, 1])[0]
prg = get_program(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], prg, local_size=[4, 2, 1])[0]
np.testing.assert_equal(ret, [0, 0, 0, 0, 0, 1, 1, 1])
@unittest.skipIf(not isinstance(Device[Device.DEFAULT].renderer, CStyleLanguage), "uops are for cstyle")
@@ -104,8 +100,8 @@ class TestPTXFailures(unittest.TestCase):
if_uop = UOp(Ops.IF, dtypes.void, (gate_alu,))
gated_alu_store = UOp(Ops.STORE, dtypes.void, (a.index(lidx0, if_uop), val))
sink = UOp(Ops.SINK, dtypes.void, (gated_alu_store,))
uops = full_rewrite(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], uops, local_size=[4, 1, 1])[0]
prg = get_program(sink, Device[Device.DEFAULT].renderer)
ret = _test_uop_result([], prg, local_size=[4, 1, 1])[0]
np.testing.assert_equal(ret, [0, 1, 1, 1])
@unittest.skipUnless(is_dtype_supported(dtypes.half), "need half")
+3 -4
View File
@@ -10,7 +10,7 @@ from tinygrad.device import is_dtype_supported
from tinygrad.uop.ops import Ops, UOp
from tinygrad.renderer.ptx import PTXRenderer
from tinygrad.renderer.nir import NIRRenderer
from tinygrad.codegen import full_rewrite
from tinygrad.engine.realize import get_program
from tinygrad.dtype import DType
settings.register_profile("my_profile", max_examples=200, deadline=None, derandomize=getenv("DERANDOMIZE_CI", False))
@@ -869,9 +869,8 @@ class TestIdxUpcast(unittest.TestCase):
for s in schedule:
if s.ast.op is Ops.SINK:
renderer = Device[s.bufs[0].device].renderer
uops = full_rewrite(s.ast, renderer)
renderer.render(uops)
return uops
prg = get_program(s.ast, renderer)
return prg.uops
def _assert(self, dtype: DType, a: Tensor):
uops = self._schedule_render(a)
+11 -8
View File
@@ -7,30 +7,27 @@ from tinygrad.dtype import dtypes, DType, AddrSpace
from tinygrad.device import Buffer, Device
from tinygrad.uop.ops import Ops, UOp, UPat, KernelInfo, exec_alu, AxisType
from tinygrad.uop.spec import shared_spec
from tinygrad.renderer import ProgramSpec
from tinygrad.renderer.cstyle import CStyleLanguage
from tinygrad.engine.realize import CompiledRunner, get_program, get_runner
from tinygrad.engine.schedule import ExecItem
from tinygrad.codegen import full_rewrite
from tinygrad.uop.symbolic import sym
from tinygrad.device import is_dtype_supported
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.renderer.ptx import PTXRenderer
from test.helpers import get_uops
from dataclasses import replace
def to_uops_list(u:list[UOp], ren=None) -> list[UOp]:
sink = UOp.group(*u)
for r in sink.ranges: sink = sink.end(r)
# we strip the SINK here for legacy reasons
ret = full_rewrite(sink.sink(arg=KernelInfo(opts_to_apply=())), ren)
ret = get_uops(sink.sink(arg=KernelInfo(opts_to_apply=())), ren)
assert ret[-1].op is Ops.SINK
return ret[:-1]
def _uops_to_prg(uops_list):
uops = full_rewrite(ast:=UOp.sink(*uops_list), ren=Device[Device.DEFAULT].renderer)
src = Device[Device.DEFAULT].renderer.render(uops)
has_local = Device[Device.DEFAULT].renderer.has_local
return CompiledRunner(ProgramSpec(uops[-1].arg.name if uops[-1].arg is not None else "test", src, Device.DEFAULT, ast, uops=uops,
global_size=[1,1,1] if has_local else None, local_size=[1,1,1] if has_local else None))
prg = get_program(UOp.sink(*uops_list), Device[Device.DEFAULT].renderer)
return CompiledRunner(replace(prg, device=Device.DEFAULT))
def uop(uops:list[UOp], uop:Ops, dtype:Optional[DType], src:tuple[UOp, ...], arg:Any=None) -> UOp:
uops.append(UOp(uop, dtype, tuple(src), arg))
@@ -547,6 +544,12 @@ class TestUopsObject(unittest.TestCase):
self.assertEqual(a.device, Device.DEFAULT)
class TestUOpRender(unittest.TestCase):
def test_render_vectorize_empty(self):
u = UOp(Ops.VECTORIZE, dtype=dtypes.int.vec(0), src=())
self.assertEqual(u.render(simplify=False), "{}")
def test_render_vectorize_empty_simplified(self):
u = UOp(Ops.VECTORIZE, dtype=dtypes.int.vec(0), src=())
self.assertEqual(u.render(), "{}")
def test_render_vectorize_same(self):
u = UOp(Ops.VECTORIZE, dtype=dtypes.int.vec(3), src=(UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 0)))
self.assertEqual(u.render(simplify=False), "{0, ...}")
+2 -3
View File
@@ -4,7 +4,6 @@ from tinygrad.helpers import getenv, GlobalCounters, EMULATE
from tinygrad.engine.realize import get_program
from tinygrad.renderer import ProgramSpec
from tinygrad.renderer import Estimates
from tinygrad.codegen import full_rewrite
from tinygrad.uop.ops import Ops, UOp
from tinygrad.dtype import dtypes
from tinygrad.codegen.opt import Opt, OptOps, KernelOptError
@@ -146,7 +145,7 @@ class TestUOpsStats(unittest.TestCase):
u3 = UOp(Ops.CONST, dtypes.int, tuple(), 3)
u4 = UOp(Ops.MUL, dtypes.int, (u1,u2))
u5 = UOp(Ops.ADD, dtypes.int, (u4,u3))
uops = full_rewrite(u5.sink())
uops = list(u5.toposort())
globl = UOp(Ops.DEFINE_GLOBAL, dtypes.int.ptr(), tuple())
o1 = UOp(Ops.CONST, dtypes.int, tuple(), 1)
@@ -155,7 +154,7 @@ class TestUOpsStats(unittest.TestCase):
u2 = globl.index(o2)
u3 = UOp(Ops.CONST, dtypes.int, tuple(), 3)
u4 = UOp(Ops.MULACC, dtypes.int, (u1,u2,u3))
uops_fma = full_rewrite(u4.sink())
uops_fma = list(u4.toposort())
self.assertEqual(flops_mem(uops), flops_mem(uops_fma))
+180
View File
@@ -0,0 +1,180 @@
# ruff: noqa: F405, F403
# allow define from star imports
import unittest
import textwrap
from tinygrad import Device, Tensor
from tinygrad.uop.ops import UOp, Ops, track_rewrites
from tinygrad.renderer import ProgramSpec
from tinygrad.helpers import TracingKey, getenv
from tinygrad.engine.realize import ExecItem, CompiledRunner
from extra.assembly.amd.autogen.rdna3 import *
# TODO: use the RDNA3 renderer when it's in master
template = """.text
.globl fn_name
.p2align 8
.type fn_name,@function
fn_name:
INSTRUCTION
.rodata
.p2align 6
.amdhsa_kernel fn_name
.amdhsa_kernarg_size 8
.amdhsa_user_sgpr_kernarg_segment_ptr 1
.amdhsa_next_free_vgpr .amdgcn.next_free_vgpr
.amdhsa_next_free_sgpr .amdgcn.next_free_sgpr
.amdhsa_wavefront_size32 1
.end_amdhsa_kernel
.amdgpu_metadata
---
amdhsa.version:
- 1
- 0
amdhsa.kernels:
- .name: fn_name
.symbol: fn_name.kd
.group_segment_fixed_size: 0
.private_segment_fixed_size: 0
.wavefront_size: 32
.sgpr_count: 8
.vgpr_count: 8
.max_flat_workgroup_size: 1024
.kernarg_segment_align: 8
.kernarg_segment_size: 8
.args:
- .address_space: global
.name: a
.offset: 0
.size: 8
.type_name: 'float*'
.value_kind: global_buffer
...
.end_amdgpu_metadata
"""
@track_rewrites(name=lambda *args,ret,**kwargs: TracingKey(ret.name, ret=ret))
def run_asm(name:str, insts:list) -> ProgramSpec:
src = "\n".join([inst if isinstance(inst, str) else inst.disasm() for inst in insts])
prg = ProgramSpec(name, src:=template.replace("fn_name", name).replace("INSTRUCTION", textwrap.dedent(src)), Device.DEFAULT, UOp(Ops.SINK),
lib=Device[Device.DEFAULT].compiler.compile(src), global_size=[1, 1, 1], local_size=[1, 1, 1], globals=[0])
ei = ExecItem(UOp(Ops.SINK), [Tensor.empty(1).uop.buffer.ensure_allocated()], prg=CompiledRunner(prg))
ei.run()
return prg
@unittest.skipUnless(Device.DEFAULT == "AMD" and not getenv("AMD_LLVM"), "only on AMD with comgr")
class TestCfg(unittest.TestCase):
def setUp(self):
arch = Device["AMD"].arch
if not any(arch.startswith(a) for a in {"gfx11", "gfx12"}):
self.skipTest(f"tests written for RDNA, got arch {arch}")
def test_simple(self):
run_asm("simple", [
"entry:",
s_branch("bb1"),
"bb1:",
s_endpgm(),
])
def test_diamond(self):
run_asm("diamond", [
"entry:",
s_cmp_eq_i32(s[0], 0),
s_cbranch_scc1("if"),
s_branch("else"),
"if:",
s_nop(1),
s_branch("end"),
"else:",
s_nop(0),
"end:",
s_endpgm(),
])
def test_loop(self):
run_asm("simple_loop", [
"entry:",
s_mov_b32(s[1], 4),
"loop:",
s_add_u32(s[1], s[1], -1),
s_cmp_eq_i32(s[1], 0),
s_cbranch_scc0("loop"),
s_endpgm(),
])
def test_loop_branch(self):
run_asm("loop_if", [
"entry:",
s_mov_b32(s[1], 4),
"loop:",
s_add_u32(s[1], s[1], -1),
s_cmp_eq_i32(s[1], 2),
s_cbranch_scc1("cond"),
s_branch("cont"),
"cond:",
s_add_u32(s[1], s[1], -2),
"cont:",
s_cmp_eq_i32(s[1], 0),
s_cbranch_scc0("loop"),
s_endpgm(),
])
def test_loop_break(self):
run_asm("loop_break", [
"entry:",
s_mov_b32(s[1], 8),
"loop:",
s_add_u32(s[1], s[1], -1),
s_cmp_eq_i32(s[1], 5),
s_cbranch_scc1("break"),
s_cmp_eq_i32(s[1], 0),
s_cbranch_scc0("loop"),
"break:",
s_endpgm(),
])
def test_switch(self):
run_asm("switch_case", [
"entry:",
s_cmp_eq_i32(s[0], 0),
s_cbranch_scc1("case0"),
s_cmp_eq_i32(s[0], 1),
s_cbranch_scc1("case1"),
s_branch("case2"),
"case0:",
s_nop(0),
s_branch("join"),
"case1:",
s_nop(1),
s_branch("join"),
"case2:",
s_nop(2),
s_branch("join"),
"join:",
s_endpgm(),
])
def test_ping_pong(self):
run_asm("ping_pong", [
"entry:",
s_cmp_eq_i32(s[0], 0),
s_cbranch_scc1("ping"),
s_branch("pong"),
"ping:",
s_cmp_eq_i32(s[1], 0),
s_cbranch_scc1("pong"),
s_branch("end"),
"pong:",
s_cmp_eq_i32(s[2], 0),
s_cbranch_scc1("ping"),
"end:",
s_endpgm(),
])
if __name__ == "__main__":
unittest.main()
+16
View File
@@ -66,5 +66,21 @@ class TestDtypeTolist(unittest.TestCase):
# 57344
self.assertEqual(Tensor([-30000, 1.5, 3.1, 30000], device="PYTHON", dtype=dtypes.fp8e5m2).tolist(), [-28672.0, 1.5, 3.0, 28672.0])
class TestCanLosslessCast(unittest.TestCase):
def test_can_lossless_cast(self):
from tinygrad.dtype import can_lossless_cast
# signed -> unsigned is NOT lossless (negative values wrap)
self.assertFalse(can_lossless_cast(dtypes.int8, dtypes.uint64))
self.assertFalse(can_lossless_cast(dtypes.int32, dtypes.uint32))
# unsigned -> larger signed is lossless
self.assertTrue(can_lossless_cast(dtypes.uint8, dtypes.int16))
self.assertTrue(can_lossless_cast(dtypes.uint32, dtypes.int64))
# large ints don't fit in floats
self.assertFalse(can_lossless_cast(dtypes.int32, dtypes.float))
self.assertFalse(can_lossless_cast(dtypes.int64, dtypes.double))
# half has more mantissa bits
self.assertTrue(can_lossless_cast(dtypes.int8, dtypes.half))
self.assertFalse(can_lossless_cast(dtypes.int8, dtypes.bfloat16))
if __name__ == "__main__":
unittest.main()
+1 -1
View File
@@ -8,7 +8,7 @@ from hypothesis import given, settings, strategies as strat
import numpy as np
import torch
settings.register_profile("my_profile", max_examples=200, deadline=None, derandomize=getenv("DERANDOMIZE_CI", False))
settings.register_profile("my_profile", max_examples=50, deadline=None, derandomize=getenv("DERANDOMIZE_CI", False))
settings.load_profile("my_profile")
core_dtypes = list(DTYPES_DICT.values())
+1 -1
View File
@@ -1,5 +1,5 @@
import unittest, subprocess, platform
from tinygrad.runtime.ops_cpu import ClangJITCompiler
from tinygrad.runtime.support.compiler_cpu import ClangJITCompiler
from tinygrad.runtime.support.elf import elf_loader
class TestElfLoader(unittest.TestCase):
+2 -2
View File
@@ -47,10 +47,10 @@ class TestKeccak(unittest.TestCase):
ha_ref, hb_ref = hasher(a), hasher(b)
tres = Tensor.stack(*(Tensor(d) for d in (a, b))).keccak(name)
ha, hb = tres[0].data(), tres[1].data()
ha, hb = bytes(tres[0].data()), bytes(tres[1].data())
self.assertEqual(ha_ref, ha)
self.assertEqual(ha_ref, Tensor(a).keccak(name).data())
self.assertEqual(ha_ref, bytes(Tensor(a).keccak(name).data()))
self.assertEqual(hb_ref, hb)
def test_referenced(self):
+14 -2
View File
@@ -1,6 +1,6 @@
import ctypes, gzip, unittest, timeit
import ctypes, gzip, unittest, timeit, pickle
from tinygrad import Variable
from tinygrad.helpers import Context, ContextVar, argfix, colored, word_wrap, is_numpy_ndarray, mv_address, get_contraction
from tinygrad.helpers import Context, ContextVar, argfix, colored, word_wrap, is_numpy_ndarray, mv_address, get_contraction, count
from tinygrad.helpers import merge_dicts, strip_parens, prod, round_up, fetch, fully_flatten, from_mv, to_mv, polyN, time_to_str, cdiv, cmod, getbits
from tinygrad.tensor import Tensor, get_shape
import numpy as np
@@ -120,6 +120,18 @@ class TestRoundUp(unittest.TestCase):
self.assertEqual(round_up(232, 24984), 24984)
self.assertEqual(round_up(24984, 232), 25056)
class TestCount(unittest.TestCase):
def test_count_basic(self):
c = count(3)
self.assertEqual(next(c), 3)
self.assertEqual(next(c), 4)
def test_count_step_pickle(self):
c = count(1, 2)
self.assertEqual(next(c), 1)
c2 = pickle.loads(pickle.dumps(c))
self.assertEqual(next(c2), 3)
@unittest.skip("no fetch tests because they need internet")
class TestFetch(unittest.TestCase):
def test_fetch_bad_http(self):
+53
View File
@@ -0,0 +1,53 @@
import unittest
import numpy as np
from tinygrad import Tensor
class TestMoEFeedForward(unittest.TestCase):
def test_moe_feed_forward(self):
from tinygrad.apps.llm import TransformerBlock
dim, hidden, n_heads = 8, 16, 2
num_experts, k = 4, 2
block = TransformerBlock(dim, hidden, n_heads, n_heads, norm_eps=1e-5, head_dim=dim//n_heads,
rope_theta=10000, max_context=16, num_experts=num_experts, num_experts_per_tok=k)
# set up weights: gate scales by (expert_id+1), up/down are identity-ish, router picks experts 0,2
block.ffn_gate_exps.weight = Tensor.stack(*[Tensor.eye(hidden, dim) * (i + 1) for i in range(num_experts)])
block.ffn_up_exps.weight = Tensor.stack(*[Tensor.eye(hidden, dim) for _ in range(num_experts)])
block.ffn_down_exps.weight = Tensor.stack(*[Tensor.eye(dim, hidden) for _ in range(num_experts)])
block.ffn_gate_inp.weight = Tensor([[1, 0, 1, 0]] * dim).T # router strongly prefers experts 0 and 2
block.ffn_norm.weight = Tensor.ones(dim) # identity norm
# input of ones -> after norm still ~ones -> experts 0,2 selected -> weighted sum of silu outputs
h = Tensor.ones(1, 1, dim)
out = block._feed_forward(h)
# expected: residual + moe_output ≈ 1 + avg(silu(1), silu(3))
expected = 1 + (Tensor([1.0]).silu().item() + Tensor([3.0]).silu().item()) / 2
np.testing.assert_allclose(out.numpy()[0, 0, 0], expected, rtol=1e-2)
def test_moe_feed_forward_batched(self):
from tinygrad.apps.llm import TransformerBlock
dim, hidden, n_heads = 8, 16, 2
num_experts, k = 4, 2
block = TransformerBlock(dim, hidden, n_heads, n_heads, norm_eps=1e-5, head_dim=dim//n_heads,
rope_theta=10000, max_context=16, num_experts=num_experts, num_experts_per_tok=k)
# same setup as BS=1 test
block.ffn_gate_exps.weight = Tensor.stack(*[Tensor.eye(hidden, dim) * (i + 1) for i in range(num_experts)])
block.ffn_up_exps.weight = Tensor.stack(*[Tensor.eye(hidden, dim) for _ in range(num_experts)])
block.ffn_down_exps.weight = Tensor.stack(*[Tensor.eye(dim, hidden) for _ in range(num_experts)])
block.ffn_gate_inp.weight = Tensor([[1, 0, 1, 0]] * dim).T
block.ffn_norm.weight = Tensor.ones(dim)
# test with BS=2, T=3
h = Tensor.ones(2, 3, dim)
out = block._feed_forward(h)
# all outputs should match the BS=1 expected value
expected = 1 + (Tensor([1.0]).silu().item() + Tensor([3.0]).silu().item()) / 2
np.testing.assert_allclose(out.numpy(), expected, rtol=1e-2)
if __name__ == '__main__':
unittest.main()
+2 -2
View File
@@ -27,8 +27,8 @@ class TestLLMServer(unittest.TestCase):
from tinygrad.apps.llm import Handler
from tinygrad.helpers import TCPServerWithReuse
cls.port = 11435
cls.server = TCPServerWithReuse(('127.0.0.1', cls.port), Handler)
cls.server = TCPServerWithReuse(('127.0.0.1', 0), Handler)
cls.port = cls.server.server_address[1]
cls.server_thread = threading.Thread(target=cls.server.serve_forever, daemon=True)
cls.server_thread.start()
time.sleep(0.1)
+2 -2
View File
@@ -3,7 +3,7 @@ from unittest.mock import patch
from io import StringIO
from collections import namedtuple
from tqdm import tqdm
from tinygrad.helpers import tqdm as tinytqdm, trange as tinytrange
from tinygrad.helpers import tqdm as tinytqdm, trange
import numpy as np
def _get_iter_per_second(raw:str) -> float:
@@ -165,7 +165,7 @@ class TestProgressBar(unittest.TestCase):
mock_stderr.truncate(0)
# compare bars at each iteration (only when tinytqdm bar has been updated)
for n in (bar := tinytrange(total, desc="Test")):
for n in (bar := trange(total, desc="Test")):
if bar.i % bar.skip != 0: continue
tiny_output = mock_stderr.getvalue().split("\r")[-1].rstrip()
iters_per_sec = float(tiny_output.split("it/s")[-2].split(" ")[-1]) if n>0 else 0
+38
View File
@@ -0,0 +1,38 @@
import unittest
from tinygrad import UOp, dtypes
class TestUOpRepr(unittest.TestCase):
def test_simple_const(self):
a = UOp.const(dtypes.int, 42)
self.assertEqual(repr(a), "UOp(Ops.CONST, dtypes.int, arg=42, src=())")
def test_different_consts(self):
a, b = UOp.const(dtypes.int, 42), UOp.const(dtypes.int, 3)
expected = (
"UOp(Ops.ADD, dtypes.int, arg=None, src=(\n" +
" UOp(Ops.CONST, dtypes.int, arg=42, src=()),\n" +
" UOp(Ops.CONST, dtypes.int, arg=3, src=()),))"
)
self.assertEqual(repr(a+b), expected)
def test_walrus_operator_indentation(self):
# The reference should have the same indentation as the definition
a = UOp.const(dtypes.int, 42)
expected = (
"UOp(Ops.ADD, dtypes.int, arg=None, src=(\n" +
" x0:=UOp(Ops.CONST, dtypes.int, arg=42, src=()),\n" +
" x0,))"
)
self.assertEqual(repr(a+a), expected)
def test_nested_walrus_indentation(self):
# Ensure indentation is consistent at multiple levels
b = (a:=UOp.const(dtypes.int, 1)) + a
expected = (
"UOp(Ops.MUL, dtypes.int, arg=None, src=(\n" +
" x0:=UOp(Ops.ADD, dtypes.int, arg=None, src=(\n" +
" x1:=UOp(Ops.CONST, dtypes.int, arg=1, src=()),\n" +
" x1,)),\n" +
" x0,))"
)
self.assertEqual(repr(b*b), expected)
if __name__ == '__main__':
unittest.main()

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