mirror of
https://github.com/ROCm/composable_kernel.git
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Added gemm_fp8xint4_Bpreshuffle files, function not checked yet
This commit is contained in:
mtgu0705
@@ -1,9 +1,9 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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#include "common.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v3.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v3_b_preshuffle.hpp"
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using F8 = ck::f8_t;
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using I4 = ck::pk_i4_t;
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@@ -63,7 +63,7 @@ static constexpr ck::index_t KPerBlock = 128;
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// clang-format off
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using DeviceGemmV2Instance =
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ck::tensor_operation::device::DeviceGemm_Xdl_CShuffleV3<
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ck::tensor_operation::device::DeviceGemm_Xdl_CShuffleV3_BPreshuffle<
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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AElementOp, BElementOp, CElementOp, GemmDefault,
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@@ -77,7 +77,7 @@ using DeviceGemmV2Instance =
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S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 32, 32, 0,
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1, 1, S<1, 16, 1, 8>, 4,
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ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, ADataType, ADataType, PermuteA, PermuteB>;
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ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, F8, F8, PermuteA, PermuteB>;
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// clang-format on
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@@ -174,8 +174,8 @@ bool run_gemm(const ProblemType& problem_size, const ExecutionConfig& config)
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DeviceMem b_k_n_device_buf(sizeof(BDataType) * b_k_n_permute.mDesc.GetElementSpaceSize());
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DeviceMem c_m_n_device_buf(sizeof(CDataType) * c_m_n_device_result.mDesc.GetElementSpaceSize());
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// int NperXdl= 16;
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// preShuffleBuffer(b_k_n.mData.data(), b_k_n_preshuffled.mData.data(), N, K, NperXdl);
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int NperXdl = GetPreShuffleParameters;
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preShuffleBuffer(b_k_n.mData.data(), b_k_n_preshuffled.mData.data(), N, K, NperXdl);
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// weight permute
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if constexpr(PermuteB)
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@@ -190,7 +190,7 @@ bool run_gemm(const ProblemType& problem_size, const ExecutionConfig& config)
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{
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for(int jj = 0; jj < K1; jj++)
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{
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b_k_n_permute(j * N * K1 + i * K1 + jj) = b_k_n(i * K + (j * K1 + jj));
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b_k_n_permute(j * N * K1 + i * K1 + jj) = b_k_n_preshuffled(i * K + (j * K1 + jj));
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}
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}
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}
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@@ -201,7 +201,7 @@ bool run_gemm(const ProblemType& problem_size, const ExecutionConfig& config)
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{
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for(int j = 0; j < K; j++)
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{
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b_k_n_permute(i * K + j) = b_k_n(i * K + j);
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b_k_n_permute(i * K + j) = b_k_n_preshuffled(i * K + j);
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}
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}
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}
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@@ -1,11 +1,12 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v1.hpp"
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#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v2.hpp"
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#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v3.hpp"
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namespace ck {
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template <BlockGemmPipelineVersion BlkGemmPipelineVer,
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@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -305,9 +305,6 @@ struct BlockwiseGemmXdlops_pipeline_bpreshuffle_v1<BlockGemmPipelineScheduler::I
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a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, local_read_buf);
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a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
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// printf("bid %d tid %d %f %f\n", blockIdx.x, threadIdx.x,
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// type_convert<float>(a_thread_buf[I0]),
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// type_convert<float>(b_thread_bufs[mfma_reg_buf][I0]));
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static_for<0, MRepeat, 1>{}([&](auto m0) {
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static_for<0, NRepeat, 1>{}([&](auto n0) {
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static_for<0, KRepeat, 1>{}([&](auto k0) {
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@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -114,6 +114,38 @@ struct DeviceGemmV2BScale : public BaseOperator
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virtual ck::index_t GetKPerBlock() = 0;
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};
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template <typename ALayout,
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typename BLayout,
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typename CLayout,
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typename ADataType,
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typename BDataType,
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typename CDataType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation>
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struct DeviceGemmV2BPreshuffle : public BaseOperator
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{
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virtual std::unique_ptr<BaseArgument>
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MakeArgumentPointer(const void* p_a,
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const void* p_b,
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void* p_c,
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ck::index_t M,
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ck::index_t N,
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ck::index_t K,
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ck::index_t StrideA,
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ck::index_t StrideB,
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ck::index_t StrideC,
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ck::index_t KSplit,
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AElementwiseOperation a_element_op,
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BElementwiseOperation b_element_op,
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CElementwiseOperation c_element_op) = 0;
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virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
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virtual bool GetPermuteB() = 0;
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virtual ck::index_t GetKPerBlock() = 0;
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};
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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@@ -0,0 +1,514 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <iostream>
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#include <sstream>
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#include "ck/utility/common_header.hpp"
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#include "ck/tensor_description/tensor_descriptor.hpp"
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#include "ck/tensor_description/tensor_descriptor_helper.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/device_gemm_v2.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3_b_preshuffle.hpp"
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#include "ck/host_utility/device_prop.hpp"
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#include "ck/host_utility/kernel_launch.hpp"
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#include "ck/host_utility/flush_cache.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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template <typename ALayout,
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typename BLayout,
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typename CLayout,
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typename ADataType,
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typename BDataType,
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typename CDataType,
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typename GemmAccDataType,
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typename CShuffleDataType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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GemmSpecialization GemmSpec,
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index_t BlockSize,
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index_t MPerBlock,
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index_t NPerBlock,
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index_t KPerBlock,
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index_t AK1,
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index_t BK1,
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index_t MPerXDL,
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index_t NPerXDL,
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index_t MXdlPerWave,
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index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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index_t ABlockTransferSrcVectorDim,
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index_t ABlockTransferSrcScalarPerVector,
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index_t ABlockTransferDstScalarPerVector_AK1,
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bool ABlockLdsExtraM,
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typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
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typename BBlockTransferThreadClusterArrangeOrder,
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typename BBlockTransferSrcAccessOrder,
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index_t BBlockTransferSrcVectorDim,
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index_t BBlockTransferSrcScalarPerVector,
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index_t BBlockTransferDstScalarPerVector_BK1,
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bool BBlockLdsExtraN,
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index_t CShuffleMXdlPerWavePerShuffle,
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index_t CShuffleNXdlPerWavePerShuffle,
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typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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index_t CShuffleBlockTransferScalarPerVector_NPerBlock,
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BlockGemmPipelineScheduler BlkGemmPipeSched = BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion BlkGemmPipelineVer = BlockGemmPipelineVersion::v1,
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typename ComputeTypeA = CDataType,
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typename ComputeTypeB = ComputeTypeA,
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bool PermuteA = false,
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bool PermuteB = false>
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struct DeviceGemm_Xdl_CShuffleV3_BPreshuffle : public DeviceGemmV2BPreshuffle<ALayout,
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BLayout,
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CLayout,
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ADataType,
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BDataType,
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CDataType,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation>
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{
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// GridwiseGemm
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using GridwiseGemm = GridwiseGemm_xdl_cshuffle_v3_b_preshuffle<
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ALayout,
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BLayout,
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CLayout,
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ADataType,
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BDataType,
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GemmAccDataType,
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CShuffleDataType,
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CDataType,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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GemmSpec,
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BlockSize,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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AK1,
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BK1,
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MPerXDL,
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NPerXDL,
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MXdlPerWave,
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NXdlPerWave,
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ABlockTransferThreadClusterLengths_AK0_M_AK1,
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ABlockTransferThreadClusterArrangeOrder,
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ABlockTransferSrcAccessOrder,
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ABlockTransferSrcVectorDim,
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ABlockTransferSrcScalarPerVector,
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ABlockTransferDstScalarPerVector_AK1,
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false,
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ABlockLdsExtraM,
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BBlockTransferThreadClusterLengths_BK0_N_BK1,
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BBlockTransferThreadClusterArrangeOrder,
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BBlockTransferSrcAccessOrder,
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BBlockTransferSrcVectorDim,
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BBlockTransferSrcScalarPerVector,
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BBlockTransferDstScalarPerVector_BK1,
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false,
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BBlockLdsExtraN,
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CShuffleMXdlPerWavePerShuffle,
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CShuffleNXdlPerWavePerShuffle,
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CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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CShuffleBlockTransferScalarPerVector_NPerBlock,
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BlkGemmPipeSched,
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BlkGemmPipelineVer,
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ComputeTypeA,
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ComputeTypeB,
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PermuteA,
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PermuteB>;
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using Argument = typename GridwiseGemm::Argument;
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int GetPreShuffleParameters() override { return NPerXDL; }
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// Invoker
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struct Invoker : public BaseInvoker
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{
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float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
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{
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if(stream_config.log_level_ > 0)
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{
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arg.Print();
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GridwiseGemm::BlockwiseGemmPipe::HotLoopInstList::Print();
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}
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if(!GridwiseGemm::CheckValidity(arg))
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{
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throw std::runtime_error("wrong! GridwiseGemm has invalid setting");
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}
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index_t gdx, gdy, gdz;
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std::tie(gdx, gdy, gdz) = GridwiseGemm::CalculateGridSize(arg.M, arg.N, arg.KBatch);
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float ave_time = 0;
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index_t k_grain = arg.KBatch * KPerBlock;
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index_t K_split = (arg.K + k_grain - 1) / k_grain * KPerBlock;
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const bool has_main_k_block_loop = GridwiseGemm::CalculateHasMainKBlockLoop(K_split);
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const auto Run = [&](const auto& kernel) {
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if(stream_config.flush_cache)
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{
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Argument arg_ = arg;
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const auto a_grid_desc_ak0_m_ak1 = GridwiseGemm::MakeAGridDescriptor_AK0_M_AK1(
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arg_.M, arg_.MPadded, arg_.K, arg_.KPadded, arg_.StrideA, arg_.AK0);
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const auto b_grid_desc_bk0_n_bk1 = GridwiseGemm::MakeBGridDescriptor_BK0_N_BK1(
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arg_.K, arg_.KPadded, arg_.N, arg_.NPadded, arg_.StrideB, arg_.BK0);
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auto size_a_buffer =
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a_grid_desc_ak0_m_ak1.GetElementSpaceSize() * sizeof(ADataType);
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auto size_b_buffer =
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b_grid_desc_bk0_n_bk1.GetElementSpaceSize() * sizeof(BDataType);
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ck::utility::RotatingMemWrapper<Argument> rotating_mem(
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arg_, stream_config.rotating_count, size_a_buffer, size_b_buffer);
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rotating_mem.Print();
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auto run_flush_cache = [&]() {
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// flush icache
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ck::utility::flush_icache();
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// rotating mem
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rotating_mem.Next();
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// clear c mem
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if(arg_.KBatch > 1)
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hipGetErrorString(hipMemsetAsync(arg_.p_c_grid,
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0,
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arg_.M * arg_.N * sizeof(CDataType),
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stream_config.stream_id_));
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};
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ave_time = ck::utility::launch_and_time_kernel_with_preprocess<false>(
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stream_config,
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run_flush_cache,
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kernel,
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dim3(gdx, gdy, gdz),
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dim3(BlockSize),
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0,
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arg_);
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}
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else
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{
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if(arg.KBatch > 1)
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hipGetErrorString(hipMemsetAsync(arg.p_c_grid,
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0,
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arg.M * arg.N * sizeof(CDataType),
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stream_config.stream_id_));
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ave_time = launch_and_time_kernel(
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stream_config, kernel, dim3(gdx, gdy, gdz), dim3(BlockSize), 0, arg);
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}
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};
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constexpr auto estimated_reg_a = MPerBlock * KPerBlock * sizeof(ADataType) / BlockSize /
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4 * (1 + GridwiseGemm::NWave);
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constexpr auto estimated_reg_b =
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NPerBlock * KPerBlock * sizeof(BDataType) / BlockSize / 4 * (2);
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constexpr auto estimated_reg_c =
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MPerBlock * NPerBlock * sizeof(GemmAccDataType) / BlockSize / 4;
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constexpr auto estimated_reg_total =
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estimated_reg_a + estimated_reg_b + estimated_reg_c;
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constexpr index_t minimum_occupancy = (estimated_reg_total >= 256) ? 1 : 2;
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if(has_main_k_block_loop)
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{
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// Tail number always full
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
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{
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if(arg.KBatch > 1)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Odd>;
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Run(kernel);
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}
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else
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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||||
minimum_occupancy,
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TailNumber::Even>;
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Run(kernel);
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}
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||||
}
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||||
else
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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||||
{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle<
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GridwiseGemm,
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||||
true,
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||||
InMemoryDataOperationEnum::Set,
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||||
minimum_occupancy,
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||||
TailNumber::Odd>;
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||||
Run(kernel);
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||||
}
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||||
else
|
||||
{
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||||
const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle<
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||||
GridwiseGemm,
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||||
true,
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||||
InMemoryDataOperationEnum::Set,
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||||
minimum_occupancy,
|
||||
TailNumber::Even>;
|
||||
Run(kernel);
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||||
}
|
||||
}
|
||||
}
|
||||
else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2 ||
|
||||
BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
|
||||
{
|
||||
if(arg.KBatch > 1)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle_2lds<
|
||||
GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::AtomicAdd,
|
||||
minimum_occupancy,
|
||||
TailNumber::Odd>;
|
||||
Run(kernel);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle_2lds<
|
||||
GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::AtomicAdd,
|
||||
minimum_occupancy,
|
||||
TailNumber::Even>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle_2lds<
|
||||
GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Odd>;
|
||||
Run(kernel);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdl_cshuffle_v3_b_preshuffle_2lds<
|
||||
GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Even>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::runtime_error("Only support pipeline ver v1, v2, v3 now!");
|
||||
}
|
||||
#if 0
|
||||
else
|
||||
{
|
||||
// Tail number always 1
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
|
||||
{
|
||||
if(arg.KBatch > 1)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
false,
|
||||
InMemoryDataOperationEnum::AtomicAdd,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
false,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
return ave_time;
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
float Run(const BaseArgument* p_arg,
|
||||
const StreamConfig& stream_config = StreamConfig{}) override
|
||||
{
|
||||
return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
|
||||
}
|
||||
};
|
||||
|
||||
static constexpr bool IsValidCompilationParameter()
|
||||
{
|
||||
// TODO: properly implement this check
|
||||
return true;
|
||||
}
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!ck::is_xdl_supported())
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
if(!is_bf16_atomic_supported() && std::is_same_v<CDataType, ck::bhalf_t> && arg.KBatch > 1)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
if((arg.K % AK1 != 0 || arg.K % BK1 != 0) && !(GemmSpec == GemmSpecialization::MKPadding ||
|
||||
GemmSpec == GemmSpecialization::NKPadding ||
|
||||
GemmSpec == GemmSpecialization::MNKPadding ||
|
||||
GemmSpec == GemmSpecialization::KPadding))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
bool IsSupportedArgument(const BaseArgument* p_arg) override
|
||||
{
|
||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
|
||||
}
|
||||
|
||||
index_t GetKPerBlock() override { return KPerBlock; }
|
||||
|
||||
bool GetPermuteA() override { return PermuteA; }
|
||||
bool GetPermuteB() override { return PermuteB; }
|
||||
|
||||
static auto MakeArgument(const ADataType* p_a,
|
||||
const BDataType* p_b,
|
||||
CDataType* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
index_t KBatch,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation)
|
||||
{
|
||||
return Argument{p_a, p_b, p_c, M, N, K, StrideA, StrideB, StrideC, KBatch};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
void* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
index_t KBatch,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation) override
|
||||
{
|
||||
return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
|
||||
static_cast<const BDataType*>(p_b),
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
KBatch);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
std::map<BlockGemmPipelineScheduler, std::string> BlkGemmPipelineSchedulerToString{
|
||||
{BlockGemmPipelineScheduler::Intrawave, "Intrawave"},
|
||||
{BlockGemmPipelineScheduler::Interwave, "Interwave"}};
|
||||
|
||||
std::map<BlockGemmPipelineVersion, std::string> BlkGemmPipelineVersionToString{
|
||||
{BlockGemmPipelineVersion::v1, "v1"},
|
||||
{BlockGemmPipelineVersion::v2, "v2"},
|
||||
{BlockGemmPipelineVersion::v3, "v3"},
|
||||
{BlockGemmPipelineVersion::v4, "v4"},
|
||||
{BlockGemmPipelineVersion::v5, "v5"}};
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmXdlUniversal"
|
||||
<< "<"
|
||||
<< getGemmSpecializationString(GemmSpec) << ", "
|
||||
<< std::string(ALayout::name)[0]
|
||||
<< std::string(BLayout::name)[0]
|
||||
<< std::string(CLayout::name)[0]
|
||||
<< ">"
|
||||
<< " BlkSize: "
|
||||
<< BlockSize << ", "
|
||||
<< "BlkTile: "
|
||||
<< MPerBlock<<"x"<<NPerBlock<<"x"<<KPerBlock << ", "
|
||||
<< "WaveTile: "
|
||||
<< MPerXDL<<"x"<<NPerXDL << ", "
|
||||
<< "WaveMap: "
|
||||
<< MXdlPerWave<<"x" << NXdlPerWave<<", "
|
||||
<< "VmemReadVec: "
|
||||
<< ABlockTransferSrcScalarPerVector<<"x"<<BBlockTransferSrcScalarPerVector<<", "
|
||||
<< "BlkGemmPipelineScheduler: "
|
||||
<< BlkGemmPipelineSchedulerToString[BlkGemmPipeSched] << ", "
|
||||
<< "BlkGemmPipelineVersion: "
|
||||
<< BlkGemmPipelineVersionToString[BlkGemmPipelineVer] << ", "
|
||||
<< "BlkGemmPipelinePrefetchStages: "
|
||||
<< GridwiseGemm::BlockwiseGemmPipe::PrefetchStages << ", "
|
||||
<< "Kpack: "
|
||||
<< GridwiseGemm::BlockwiseGemmPipe::AMmaKStride;
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
REGISTER_EXTRA_PRINTING_METHODS
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user