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https://github.com/ROCm/composable_kernel.git
synced 2026-07-07 07:37:01 +00:00
Fixed review comments and added executable to cmakeLists
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@@ -109,3 +109,10 @@ add_example_executable(example_gemm_wmma_bf16 gemm_wmma_bf16.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_bf16)
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add_example_executable(example_gemm_wmma_int8 gemm_wmma_int8.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_int8)
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add_example_executable(example_gemm_wmma_bf16_bf16_bf16_v3 gemm_wmma_bf16_bf16_bf16_v3.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_bf16_bf16_bf16_v3)
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add_example_executable(example_gemm_wmma_f8_f8_bf16_v3 gemm_wmma_f8_f8_bf16_v3.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_f8_f8_bf16_v3)
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add_example_executable(example_gemm_wmma_f16_f16_f16_v3 gemm_wmma_f16_f16_f16_v3.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_f16_f16_f16_v3)
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@@ -5,22 +5,21 @@
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3.hpp.hpp"
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using F8 = f8_t;
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using BF16 = bhalf_t;
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using F32 = float;
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using F16 = half_t;
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using F32 = float;
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using Row = tensor_layout::gemm::RowMajor;
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using Col = tensor_layout::gemm::ColumnMajor;
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using PassThrough = element_wise::PassThrough;
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using ADataType = F8;
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using BDataType = F8;
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using ADataType = F16;
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using BDataType = F16;
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using AccDataType = F32;
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using CShuffleDataType = BF16;
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using CDataType = BF16;
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using CShuffleDataType = F16;
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using CDataType = F16;
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using ALayout = Row;
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using ALayout = Col;
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using BLayout = Row;
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using CLayout = Row;
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@@ -35,16 +34,16 @@ using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Wmma_CShuffl
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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PassThrough, PassThrough, PassThrough, GemmSpec,
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32,
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16, 16,
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128,
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128, 64,
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64, 8, 8,
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16, 16,
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1, 1,
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S<2, 16, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 8, 8, 1,
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S<2, 16, 1>, S<0, 2, 1>, S<0, 2, 1>,
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1, 1, 4, 0, 1, 1,
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S<1, 16, 1, 2>, 8,
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4, 2,
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S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>,
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1, 1, 8, 1,
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S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>,
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1, 1, 8, 1, 1, 1,
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S<1, 32, 1, 4>, 8,
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ck::BlockGemmPipelineScheduler::Intrawave,ck::BlockGemmPipelineVersion::v3>;
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// clang-format on
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@@ -5,6 +5,7 @@
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3.hpp.hpp"
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using F8 = f8_t;
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using BF16 = bhalf_t;
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using F32 = float;
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@@ -13,8 +14,8 @@ using Col = tensor_layout::gemm::ColumnMajor;
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using PassThrough = element_wise::PassThrough;
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using ADataType = BF16;
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using BDataType = BF16;
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using ADataType = F8;
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using BDataType = F8;
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using AccDataType = F32;
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using CShuffleDataType = BF16;
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using CDataType = BF16;
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@@ -34,14 +35,16 @@ using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Wmma_CShuffl
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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PassThrough, PassThrough, PassThrough, GemmSpec,
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256,
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128, 128,
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32, 8, 8,
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32,
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16, 16,
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64, 8, 8,
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16, 16,
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4, 2,
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S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>,
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1, 1, 8, 1, 1, 1,
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S<1, 32, 1, 8>, 8,
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1, 1,
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S<2, 16, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 8, 8, 1,
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S<2, 16, 1>, S<0, 2, 1>, S<0, 2, 1>,
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1, 1, 4, 0, 1, 1,
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S<1, 16, 1, 2>, 8,
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ck::BlockGemmPipelineScheduler::Intrawave,ck::BlockGemmPipelineVersion::v3>;
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// clang-format on
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