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[AMD] Remove the deprecated C10_WARP_SIZE #9356
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Summary of Changes
Hello @hubertlu-tw, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request updates the WARP_SIZE
definition within the sgl-kernel
to remove the deprecated C10_WARP_SIZE
macro from PyTorch. The change ensures compatibility with newer PyTorch versions by dynamically determining the warp_size
for ROCm based on the graphics architecture, specifically checking for __GFX9__
to set it to 64, otherwise defaulting to 32. This update ensures proper warp_size
configuration for different ROCm architectures.
Highlights
- Deprecation Removal: Replaced the deprecated
C10_WARP_SIZE
macro, which was previously used for determiningWARP_SIZE
in ROCm environments. - ROCm Warp Size Logic Update: Introduced conditional compilation to determine
WARP_SIZE
for ROCm. If__GFX9__
is defined or__HIP_DEVICE_COMPILE__
is not defined,WARP_SIZE
is set to 64; otherwise, it defaults to 32. - Header Clean-up: Removed unnecessary includes for
ATen/cuda/CUDAContext.h
andc10/macros/Macros.h
as they are no longer needed forWARP_SIZE
determination.
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Code Review
This pull request removes the deprecated C10_WARP_SIZE
and updates the logic for determining WARP_SIZE
for ROCm builds. While removing the deprecated macro is a good improvement, the new logic sets WARP_SIZE
to 64 for GFX9+ architectures, which is not compatible with the existing warpReduceMax
function. This function is hardcoded for a 32-wide warp, and using it with a 64-wide warp will lead to incorrect calculations. I've identified this as a critical issue and provided a suggestion for fixing the reduction function.
#if defined(__GFX9__) || !defined(__HIP_DEVICE_COMPILE__) | ||
#define WARP_SIZE 64 | ||
#else | ||
#define WARP_SIZE 32 | ||
#endif |
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This change correctly removes the deprecated C10_WARP_SIZE
. However, by defining WARP_SIZE
as 64 for GFX9+ architectures, it introduces a bug in the warpReduceMax
function (lines 400-407), which is hardcoded for a warp size of 32.
With WARP_SIZE=64
, warpReduceMax
will only perform a partial reduction, leading to incorrect results. The blockReduceMax
function (line 409) will also be affected as it relies on both warpReduceMax
and WARP_SIZE
.
To fix this, warpReduceMax
must be updated to handle a 64-wide warp. Here is a suggested implementation:
__device__ __forceinline__ float warpReduceMax(float value) {
#if WARP_SIZE == 64
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 32));
#endif
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 16));
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 8));
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 4));
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 2));
value = fmaxf(value, __shfl_xor_sync(FULL_MASK, value, 1));
return value;
}
Motivation
C10_WARP_SIZE
is deprecated in newer pytorch versions.Modifications
Use gfx arch to determine warp_size for ROCm.
Accuracy Tests
Benchmarking and Profiling
Checklist
CC: @sogalin @HaiShaw @zhyncs