Meta28 optimization upstream#113
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shbiswas834 wants to merge 26 commits intoshbiswas/upstream_0815from
Open
Meta28 optimization upstream#113shbiswas834 wants to merge 26 commits intoshbiswas/upstream_0815from
shbiswas834 wants to merge 26 commits intoshbiswas/upstream_0815from
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liligwu
requested changes
Aug 18, 2025
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| const bool use_deterministic_algorithms = at::globalContext().deterministicAlgorithms(); | ||
| const int max_segment_length_per_cta = use_deterministic_algorithms ? INT_MAX : 1024; | ||
| const int max_segment_length_per_cta = use_deterministic_algorithms ? INT_MAX : 4096; |
Collaborator
There was a problem hiding this comment.
We need to guard the change by #ifdef USE_ROCM
| // Compute shared memory size for cta_per_row | ||
| constexpr auto kCacheAccBytes = sizeof(at::acc_type<cache_t, true>); | ||
| int32_t num_cta_per_row_groups = kMaxThreads / kWarpSize; | ||
| int32_t num_cta_per_row_groups = (kMaxThreads/4) / kWarpSize; |
Collaborator
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We need to guard the change by #ifdef USE_ROCM
| || dev_weights.scalar_type() == at::ScalarType::Float; | ||
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| if (use_hip_kernel && supported_weights_type && !mixed_D && rocm::is_supported_cdna()) | ||
| if (use_hip_kernel && !mixed_D && supported_weights_type && rocm::is_supported_cdna()) |
| // (vector is very large). | ||
| std::sort( | ||
| std::execution::par, | ||
| // std::execution::par, |
kudomcho
reviewed
Aug 18, 2025
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| const int32_t cta_per_row_grid_size = std::min( | ||
| div_round_up(total_unique_indices, kMaxThreads), | ||
| div_round_up(total_unique_indices, (kMaxThreads/4)), |
Author
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@liligwu changes are tested. Builds successfully. Few backwards and forwards were tested. no regression |
avbokovoy
approved these changes
Aug 19, 2025
fbgemm_gpu/cmake/Hip.cmake
Outdated
| list(APPEND HIP_CXX_FLAGS -mf16c) | ||
| list(APPEND HIP_CXX_FLAGS -mfma) | ||
| list(APPEND HIP_CXX_FLAGS -std=c++20) | ||
| list(APPEND HIP_CXX_FLAGS -g) |
There was a problem hiding this comment.
I suggest to revert the whole file changes since it only increases build time and diff in this context
| // Now sort the indices by their tags. Use parallel sort for some extra speed | ||
| // (vector is very large). | ||
| std::sort( | ||
| std::execution::par, |
warp per row wg change
…d opt size and adjusted WG size for L=1 on hip split embed kernel
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