github/tinygrad
1
1
Fork 0
mirror of https://github.com/tinygrad/tinygrad.git synced 2026-01-09 06:58:11 -05:00
Code Issues Packages Projects Releases Wiki Activity

few more KFD -> AMD (#4262)

Browse Source 
benchmark gemm and default_parallel
This commit is contained in:
chenyu
2024-04-23 10:15:37 -04:00
committed by GitHub
parent 6c25f1abf7
commit 759b4f41c3
2 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
.github/workflows/benchmark.yml vendored
View File

@@ -206,11 +206,11 @@ jobs:
- name: Test tensor cores
run: |
HSA=1 python3 test/test_linearizer.py TestLinearizer.test_tensor_cores TestLinearizer.test_tensor_cores_padded
KFD=1 python3 test/test_linearizer.py TestLinearizer.test_tensor_cores TestLinearizer.test_tensor_cores_padded
AMD=1 python3 test/test_linearizer.py TestLinearizer.test_tensor_cores TestLinearizer.test_tensor_cores_padded
- name: Run Tensor Core GEMM (HSA)
run: HSA=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul.txt
- name: Run Tensor Core GEMM (KFD)
run: KFD=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_kfd.txt
- name: Run Tensor Core GEMM (AMD)
run: AMD=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_kfd.txt
# TODO: AMD compiler bug causes this to fail
#- name: Fuzz Padded Tensor Core GEMM
# run: HSA=1 M_START=12 M_STOP=20 M_STEP=1 N_START=12 N_STOP=20 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 DEBUG=2 python3 ./extra/gemm/fuzz_matmul.py

2
tinygrad/features/search.py
View File

@@ -111,7 +111,7 @@ def beam_search(lin:Linearizer, rawbufs:List[Buffer], amt:int, allow_test_size=T
beam: List[Tuple[Linearizer, float]] = []
seen_libs = set()
default_parallel, min_progress_micros = 1 if lin.opts.device in {"CUDA", "HSA", "KFD", "NV"} else 0, getenv("BEAM_MIN_PROGRESS",0.01)
default_parallel, min_progress_micros = 1 if lin.opts.device in {"CUDA", "HSA", "AMD", "NV"} else 0, getenv("BEAM_MIN_PROGRESS",0.01)
if beam_pool is None and getenv("PARALLEL", default_parallel):
beam_pool = multiprocessing.get_context("spawn").Pool(multiprocessing.cpu_count(), _init_worker, (), getenv("BEAM_MAX_TASKS_PER_CHILD", 16))