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[rocm-libraries] ROCm/rocm-libraries#4354 (commit d41f08a)
[CK TILE] fix numerical errors of preshuffle_b This pull request introduces several improvements and fixes related to quantized grouped GEMM (General Matrix Multiply) pipelines and their supporting utilities. # The numerical issue ## Steps to reproduce ```bash Run ./bin/tile_example_gemm_weight_preshuffle -prec=fp8 ./bin/tile_example_gemm_weight_preshuffle -prec=int4 ``` # Solution The main changes address type correctness, improve data layout and shuffling logic, and expand test coverage to better validate different GEMM configurations. **Key changes include:** ### Data layout and shuffling logic * Refactored the logic in `shuffle_b_permuteN` to use `constexpr` variables for `KLane` and `ItemsPerAccess`, simplifying tile view construction and correcting the permutation order for improved efficiency and correctness (`tensor_shuffle_utils.hpp`). * Fixed the calculation of `KLaneBytes` in weight preshuffle pipeline policies to account for internal data type conversion (e.g., from `pk_int4_t` to `fp8`), ensuring accurate memory access and alignment in quantized GEMM policies (`wp_pipeline_agmem_bgmem_creg_base_policy.hpp`, `gemm_wp_abquant_pipeline_ag_bg_cr_base_policy.hpp`). [[1]](diffhunk://#diff-93f16cd76e6e24404777e682a5ac8e039913ddd6a438c7efd61fdda42276e4efL274-R275) [[2]](diffhunk://#diff-9c3d0fc3c014feed435bfd93ba1f8f9fb3e054dcc322deada3addf70bee5a58cL100-R105) ### Test infrastructure enhancements * Unit tests did not catch this issue since there were no tests for fp8. Added new configuration structs (`config_mn_16x16`, `config_mn_32x32`) to support additional GEMM tile shapes and updated tests to run with these configurations for broader coverage (`test_gemm_pipeline_util.hpp`). [[1]](diffhunk://#diff-5a5962b2c4aa7f6a87d1d6201ad383135e30df13b42654e997d870d57420d5b8R86-R103) [[2]](diffhunk://#diff-5a5962b2c4aa7f6a87d1d6201ad383135e30df13b42654e997d870d57420d5b8L255-R269) Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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@@ -75,8 +75,8 @@ float grouped_gemm_abquant(const std::vector<grouped_gemm_kargs>& gemm_descs,
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ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
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using BaseGemmPipeline =
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GemmQuantConfig<QuantMode>::template BaseGemmPipeline<GemmPipelineProblem,
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GemmConfig::PreshuffleB>;
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typename GemmQuantConfig<QuantMode>::template BaseGemmPipeline<GemmPipelineProblem,
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GemmConfig::PreshuffleB>;
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const ck_tile::index_t k_grain = gemm_descs[0].k_batch * GemmConfig::K_Tile;
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const ck_tile::index_t K_split = (gemm_descs[0].K + k_grain - 1) / k_grain * GemmConfig::K_Tile;
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@@ -108,8 +108,8 @@ float grouped_gemm_abquant(const std::vector<grouped_gemm_kargs>& gemm_descs,
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tail_number_v>;
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using GemmPipeline =
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GemmQuantConfig<QuantMode>::template GemmPipeline<QuantGemmProblem,
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GemmConfig::PreshuffleB>;
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typename GemmQuantConfig<QuantMode>::template GemmPipeline<QuantGemmProblem,
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GemmConfig::PreshuffleB>;
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using GemmEpilogue = ck_tile::CShuffleEpilogue<
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ck_tile::CShuffleEpilogueProblem<ADataType,
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@@ -227,8 +227,9 @@ float grouped_gemm_tileloop(const ck_tile::stream_config& s,
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BQuantGroupSize,
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GemmConfig::TransposeC>;
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using GemmPipeline = GemmQuantConfig<QuantMode>::template GemmPipeline<QuantGemmProblem,
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GemmConfig::PreshuffleB>;
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using GemmPipeline =
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typename GemmQuantConfig<QuantMode>::template GemmPipeline<QuantGemmProblem,
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GemmConfig::PreshuffleB>;
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using GemmEpilogue = ck_tile::CShuffleEpilogue<
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ck_tile::CShuffleEpilogueProblem<ADataType,
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