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https://github.com/ROCm/composable_kernel.git
synced 2026-05-14 02:02:46 +00:00
WMMA support for GEMM reduce (#2823)
Added gemm + reduce instance library for RDNA4. This includes:
- New device implementation running GEMM and reduction kernel
- instances for wmma (xdl parity)
- examples for wmma (xdl parity)
- tests for existing xdl and wmma
[ROCm/composable_kernel commit: b25d4d684a]
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@@ -10,6 +10,7 @@
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v3r1.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3r1.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/tensor_operation_instance/gpu/gemm_universal_reduce.hpp"
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@@ -86,10 +87,21 @@ bool profile_gemm_universal_reduce_impl(int do_verification,
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switch(init_method)
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{
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case 0: break;
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case 0:
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a_m_k.GenerateTensorValue(GeneratorTensor_1<ADataType>{1});
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b_k_n.GenerateTensorValue(GeneratorTensor_1<BDataType>{1});
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break;
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case 1:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-1, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-1, 2});
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a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{-0.5, 0.5});
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b_k_n.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
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break;
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case 2:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
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break;
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case 3:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_1<BDataType>{1});
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break;
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default:
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a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
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@@ -68,7 +68,6 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
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list(APPEND PROFILER_OPS profile_gemm_splitk.cpp)
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list(APPEND PROFILER_OPS profile_batched_gemm_b_scale.cpp)
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list(APPEND PROFILER_OPS profile_gemm_universal_batched.cpp)
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list(APPEND PROFILER_OPS profile_gemm_universal_reduce.cpp)
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list(APPEND PROFILER_OPS profile_gemm_universal_streamk.cpp)
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list(APPEND PROFILER_OPS profile_conv_fwd_bias_relu.cpp)
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list(APPEND PROFILER_OPS profile_conv_fwd_bias_relu_add.cpp)
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@@ -90,6 +89,7 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9" OR SUPPORTED_GPU_TARGETS MATCHES "gfx1[1
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list(APPEND PROFILER_OPS profile_gemm_universal.cpp)
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list(APPEND PROFILER_OPS profile_batched_gemm.cpp)
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list(APPEND PROFILER_OPS profile_gemm_b_scale.cpp)
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list(APPEND PROFILER_OPS profile_gemm_universal_reduce.cpp)
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list(APPEND PROFILER_OPS profile_grouped_conv_fwd.cpp)
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list(APPEND PROFILER_OPS profile_grouped_conv_fwd_bias_clamp.cpp)
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list(APPEND PROFILER_OPS profile_grouped_conv_fwd_clamp.cpp)
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@@ -185,7 +185,6 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
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list(APPEND DEVICE_INSTANCES device_gemm_splitk_instance)
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list(APPEND DEVICE_INSTANCES device_batched_gemm_b_scale_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_universal_batched_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_universal_reduce_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_universal_streamk_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_add_multiply_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_add_instance)
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@@ -221,6 +220,7 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9" OR SUPPORTED_GPU_TARGETS MATCHES "gfx1[1
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list(APPEND DEVICE_INSTANCES device_gemm_universal_instance)
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list(APPEND DEVICE_INSTANCES device_batched_gemm_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_b_scale_instance)
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list(APPEND DEVICE_INSTANCES device_gemm_universal_reduce_instance)
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list(APPEND DEVICE_INSTANCES device_grouped_conv3d_fwd_instance)
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list(APPEND DEVICE_INSTANCES device_grouped_conv2d_bwd_data_instance)
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list(APPEND DEVICE_INSTANCES device_grouped_conv3d_bwd_data_instance)
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