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Add gemm_shuffle host api (#71)
* [What]
1. Add DeviceGemmXdl_C_Shuffle
2. Revise example of gemm_xdl
[Why] Prepare to add shuffle version of D = alpha * (A * B) + beta * C
[How] Imitate DeviceGemmXdl and device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
[ROCm/composable_kernel commit: 4d40b1974e]
This commit is contained in:
rocking5566
473
device_operation/include/device_gemm_xdl_c_shuffle.hpp
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473
device_operation/include/device_gemm_xdl_c_shuffle.hpp
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#ifndef DEVICE_GEMM_XDL_C_SHUFFLE_HPP
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#define DEVICE_GEMM_XDL_C_SHUFFLE_HPP
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#include <iostream>
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#include <sstream>
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#include "device.hpp"
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#include "device_base.hpp"
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#include "device_gemm.hpp"
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#include "device_gemm_xdl.hpp"
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#include "common_header.hpp"
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#include "tensor_layout.hpp"
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#include "tensor_descriptor.hpp"
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#include "tensor_descriptor_helper.hpp"
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#include "gridwise_gemm_xdlops_v3r1.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 <
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typename ADataType,
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typename BDataType,
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typename CDataType,
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typename AccDataType,
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typename ALayout,
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typename BLayout,
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typename CLayout,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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ck::index_t BlockSize,
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ck::index_t MPerBlock,
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ck::index_t NPerBlock,
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ck::index_t K0PerBlock,
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ck::index_t K1,
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ck::index_t MPerXDL,
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ck::index_t NPerXDL,
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ck::index_t MXdlPerWave,
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ck::index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_K0_M_K1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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ck::index_t ABlockTransferSrcVectorDim,
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ck::index_t ABlockTransferSrcScalarPerVector,
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ck::index_t ABlockTransferDstScalarPerVector_K1,
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bool ABlockLdsAddExtraM,
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typename BBlockTransferThreadClusterLengths_K0_N_K1,
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typename BBlockTransferThreadClusterArrangeOrder,
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typename BBlockTransferSrcAccessOrder,
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ck::index_t BBlockTransferSrcVectorDim,
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ck::index_t BBlockTransferSrcScalarPerVector,
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ck::index_t BBlockTransferDstScalarPerVector_K1,
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bool BBlockLdsAddExtraN,
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index_t CShuffleMXdlPerWavePerShuffle,
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index_t CShuffleNXdlPerWavePerShuffle,
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typename CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl,
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index_t CBlockTransferScalarPerVector_NWaveNPerXdl>
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struct DeviceGemmXdl_C_Shuffle
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: public DeviceGemm<AElementwiseOperation, BElementwiseOperation, CElementwiseOperation>
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{
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static constexpr auto I0 = Number<0>{};
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static constexpr auto I1 = Number<1>{};
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static constexpr auto I2 = Number<2>{};
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static constexpr auto K1Number = Number<K1>{};
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static auto MakeAGridDescriptor_K0_M_K1(index_t M, index_t K, index_t StrideA)
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{
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assert(K % K1 == 0);
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const index_t K0 = K / K1;
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const auto a_grid_desc_m_k = [&]() {
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if constexpr(is_same<tensor_layout::gemm::RowMajor, ALayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(StrideA, I1));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, ALayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(I1, StrideA));
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}
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}();
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const auto a_grid_desc_k0_m_k1 =
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transform_tensor_descriptor(a_grid_desc_m_k,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_pass_through_transform(M)),
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make_tuple(Sequence<1>{}, Sequence<0>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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return a_grid_desc_k0_m_k1;
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}
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static auto MakeBGridDescriptor_K0_N_K1(index_t K, index_t N, index_t StrideB)
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{
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assert(K % K1 == 0);
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const index_t K0 = K / K1;
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const auto b_grid_desc_k_n = [&]() {
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if constexpr(is_same<tensor_layout::gemm::RowMajor, BLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(K, N), make_tuple(StrideB, I1));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(K, N), make_tuple(I1, StrideB));
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}
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}();
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const auto b_grid_desc_k0_n_k1 =
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transform_tensor_descriptor(b_grid_desc_k_n,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_pass_through_transform(N)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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return b_grid_desc_k0_n_k1;
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}
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static auto MakeCGridDescriptor_M_N(index_t M, index_t N, index_t StrideC)
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{
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if constexpr(is_same<tensor_layout::gemm::RowMajor, CLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(StrideC, I1));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, CLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(I1, StrideC));
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}
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}
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using AGridDesc_K0_M_K1 = decltype(MakeAGridDescriptor_K0_M_K1(1, 1, 1));
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using BGridDesc_K0_N_K1 = decltype(MakeBGridDescriptor_K0_N_K1(1, 1, 1));
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using CGridDesc_M_N = decltype(MakeCGridDescriptor_M_N(1, 1, 1));
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// GridwiseGemm
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using GridwiseGemm = GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1<
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BlockSize,
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ADataType, // TODO: distinguish A/B datatype
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AccDataType,
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CDataType,
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InMemoryDataOperationEnum_t::Set,
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AGridDesc_K0_M_K1,
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BGridDesc_K0_N_K1,
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CGridDesc_M_N,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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MPerBlock,
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NPerBlock,
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K0PerBlock,
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MPerXDL,
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NPerXDL,
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K1,
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MXdlPerWave,
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NXdlPerWave,
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ABlockTransferThreadClusterLengths_K0_M_K1,
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Sequence<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder,
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Sequence<1, 0, 2>, // ABlockTransferSrcAccessOrder,
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2, // ABlockTransferSrcVectorDim,
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ABlockTransferSrcScalarPerVector,
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ABlockTransferDstScalarPerVector_K1,
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false, // AThreadTransferSrcResetCoordinateAfterRun,
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ABlockLdsAddExtraM,
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BBlockTransferThreadClusterLengths_K0_N_K1,
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Sequence<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder,
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Sequence<1, 0, 2>, // BBlockTransferSrcAccessOrder,
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2, // BBlockTransferSrcVectorDim,
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BBlockTransferSrcScalarPerVector,
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BBlockTransferDstScalarPerVector_K1,
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false, // BThreadTransferSrcResetCoordinateAfterRun,
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BBlockLdsAddExtraN,
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CShuffleMXdlPerWavePerShuffle,
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CShuffleNXdlPerWavePerShuffle,
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CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl,
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CBlockTransferScalarPerVector_NWaveNPerXdl>;
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// Argument
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struct Argument : public BaseArgument
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{
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Argument(const ADataType* p_a_grid,
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const BDataType* p_b_grid,
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CDataType* p_c_grid,
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index_t M,
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index_t N,
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index_t K,
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index_t StrideA,
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index_t StrideB,
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index_t StrideC,
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index_t M01,
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index_t N01,
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AElementwiseOperation a_element_op,
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BElementwiseOperation b_element_op,
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CElementwiseOperation c_element_op)
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: p_a_grid_{p_a_grid},
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p_b_grid_{p_b_grid},
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p_c_grid_{p_c_grid},
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a_grid_desc_k0_m_k1_{},
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b_grid_desc_k0_n_k1_{},
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c_grid_desc_m_n_{},
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c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl_{},
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block_2_ctile_map_{},
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M01_{M01},
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N01_{N01},
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a_element_op_{a_element_op},
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b_element_op_{b_element_op},
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c_element_op_{c_element_op}
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{
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a_grid_desc_k0_m_k1_ =
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DeviceGemmXdl_C_Shuffle::MakeAGridDescriptor_K0_M_K1(M, K, StrideA);
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b_grid_desc_k0_n_k1_ =
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DeviceGemmXdl_C_Shuffle::MakeBGridDescriptor_K0_N_K1(K, N, StrideB);
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c_grid_desc_m_n_ = DeviceGemmXdl_C_Shuffle::MakeCGridDescriptor_M_N(M, N, StrideC);
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if(GridwiseGemm::CheckValidity(
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a_grid_desc_k0_m_k1_, b_grid_desc_k0_n_k1_, c_grid_desc_m_n_, M01_, N01_))
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{
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c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl_ =
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GridwiseGemm::
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MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
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c_grid_desc_m_n_);
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block_2_ctile_map_ = GridwiseGemm::MakeBlock2CTileMap(c_grid_desc_m_n_, M01, N01);
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}
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}
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// private:
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const ADataType* p_a_grid_;
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const BDataType* p_b_grid_;
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CDataType* p_c_grid_;
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AGridDesc_K0_M_K1 a_grid_desc_k0_m_k1_;
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BGridDesc_K0_N_K1 b_grid_desc_k0_n_k1_;
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CGridDesc_M_N c_grid_desc_m_n_;
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typename GridwiseGemm::
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CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl
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c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl_;
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typename GridwiseGemm::Block2CTileMap block_2_ctile_map_;
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index_t M01_;
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index_t N01_;
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AElementwiseOperation a_element_op_;
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BElementwiseOperation b_element_op_;
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CElementwiseOperation c_element_op_;
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};
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// Invoker
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struct Invoker : public BaseInvoker
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{
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using Argument = DeviceGemmXdl_C_Shuffle::Argument;
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float Run(const Argument& arg, int nrepeat = 1)
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{
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{
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std::cout << "arg.a_grid_desc_k0_m_k1_{" << arg.a_grid_desc_k0_m_k1_.GetLength(I0)
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<< ", " << arg.a_grid_desc_k0_m_k1_.GetLength(I1) << ", "
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<< arg.a_grid_desc_k0_m_k1_.GetLength(I2) << "}" << std::endl;
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std::cout << "arg.b_grid_desc_k0_n_k1_{" << arg.b_grid_desc_k0_n_k1_.GetLength(I0)
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<< ", " << arg.b_grid_desc_k0_n_k1_.GetLength(I1) << ", "
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<< arg.b_grid_desc_k0_n_k1_.GetLength(I2) << "}" << std::endl;
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std::cout << "arg.c_grid_desc_m_n_{ " << arg.c_grid_desc_m_n_.GetLength(I0) << ", "
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<< arg.c_grid_desc_m_n_.GetLength(I1) << "}" << std::endl;
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}
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if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_k0_m_k1_,
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arg.b_grid_desc_k0_n_k1_,
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arg.c_grid_desc_m_n_,
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arg.M01_,
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arg.N01_))
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{
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throw std::runtime_error(
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"wrong! GridwiseGemm_km_kn_m0m1n0n1_xdlops_v2r3 has invalid setting");
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}
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const index_t grid_size = GridwiseGemm::CalculateGridSize(arg.c_grid_desc_m_n_);
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const auto K0 = arg.a_grid_desc_k0_m_k1_.GetLength(I0);
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const bool has_main_k0_block_loop = GridwiseGemm::CalculateHasMainK0BlockLoop(K0);
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float ave_time = 0;
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if(has_main_k0_block_loop)
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{
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const auto kernel = kernel_gemm_xdlops_v3r1<
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GridwiseGemm,
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ADataType, // TODO: distiguish A/B datatype
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CDataType,
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remove_reference_t<DeviceGemmXdl_C_Shuffle::AGridDesc_K0_M_K1>,
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remove_reference_t<DeviceGemmXdl_C_Shuffle::BGridDesc_K0_N_K1>,
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remove_reference_t<
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typename GridwiseGemm::
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CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl>,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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remove_reference_t<typename GridwiseGemm::Block2CTileMap>,
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true>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(grid_size),
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dim3(BlockSize),
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0,
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arg.p_a_grid_,
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arg.p_b_grid_,
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arg.p_c_grid_,
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arg.a_grid_desc_k0_m_k1_,
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arg.b_grid_desc_k0_n_k1_,
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arg.c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl_,
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arg.a_element_op_,
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arg.b_element_op_,
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arg.c_element_op_,
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arg.block_2_ctile_map_);
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}
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else
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{
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const auto kernel = kernel_gemm_xdlops_v2r3<
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GridwiseGemm,
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ADataType, // TODO: distiguish A/B datatype
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CDataType,
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remove_reference_t<DeviceGemmXdl_C_Shuffle::AGridDesc_K0_M_K1>,
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remove_reference_t<DeviceGemmXdl_C_Shuffle::BGridDesc_K0_N_K1>,
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remove_reference_t<
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typename GridwiseGemm::
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CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl>,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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remove_reference_t<typename GridwiseGemm::Block2CTileMap>,
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false>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(grid_size),
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dim3(BlockSize),
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0,
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arg.p_a_grid_,
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arg.p_b_grid_,
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arg.p_c_grid_,
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arg.a_grid_desc_k0_m_k1_,
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arg.b_grid_desc_k0_n_k1_,
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arg.c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl_,
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arg.a_element_op_,
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arg.b_element_op_,
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arg.c_element_op_,
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arg.block_2_ctile_map_);
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}
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return ave_time;
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}
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// polymorphic
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float Run(const BaseArgument* p_arg, int nrepeat = 1) override
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{
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return Run(*dynamic_cast<const Argument*>(p_arg), nrepeat);
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}
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||||
};
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||||
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static constexpr bool IsValidCompilationParameter()
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{
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// TODO: properly implement this check
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return true;
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}
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static bool IsSupportedArgument(const Argument& arg)
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{
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return GridwiseGemm::CheckValidity(arg.a_grid_desc_k0_m_k1_,
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arg.b_grid_desc_k0_n_k1_,
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arg.c_grid_desc_m_n_,
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arg.M01_,
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arg.N01_);
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}
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// polymorphic
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bool IsSupportedArgument(const BaseArgument* p_arg) override
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||||
{
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||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
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||||
}
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||||
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static auto MakeArgument(const ADataType* p_a,
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const BDataType* p_b,
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CDataType* p_c,
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||||
index_t M,
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||||
index_t N,
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||||
index_t K,
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||||
index_t StrideA,
|
||||
index_t StrideB,
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||||
index_t StrideC,
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||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op)
|
||||
{
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||||
return Argument{p_a,
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||||
p_b,
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||||
p_c,
|
||||
M,
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||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op};
|
||||
}
|
||||
|
||||
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,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op) 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,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmXdl"
|
||||
<< "<"
|
||||
<< BlockSize << ", "
|
||||
<< MPerBlock << ", "
|
||||
<< NPerBlock << ", "
|
||||
<< K0PerBlock
|
||||
<< ">";
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
#endif
|
||||
@@ -12,7 +12,7 @@
|
||||
#include "host_gemm.hpp"
|
||||
#include "device_tensor.hpp"
|
||||
#include "device_base.hpp"
|
||||
#include "device_gemm_xdl.hpp"
|
||||
#include "device_gemm_xdl_c_shuffle.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
|
||||
template <ck::index_t... Is>
|
||||
@@ -31,14 +31,45 @@ using AElementOp = ck::tensor_operation::element_wise::PassThrough;
|
||||
using BElementOp = ck::tensor_operation::element_wise::PassThrough;
|
||||
using CElementOp = ck::tensor_operation::element_wise::PassThrough;
|
||||
|
||||
// Compilation parameters for NT problem
|
||||
// clang-format off
|
||||
using DeviceGemmInstance =
|
||||
//#########################################| AData| BData| CData| AccData| ALayout| BLayout| CLayout| AElementwise| BElementwise| CElementwise| Block| MPer| NPer| K0Per| K1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CThreadTransfer| CThreadTransfer|
|
||||
//#########################################| Type| Type| Type| Type| | | | Operation| Operation| Operation| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| SrcDstVectorDim| DstScalar|
|
||||
//#########################################| | | | | | | | | | | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | | PerVector|
|
||||
//#########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
||||
ck::tensor_operation::device::DeviceGemmXdl< ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, 256, 256, 128, 4, 8, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, 7, 1>;
|
||||
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdl_C_Shuffle<
|
||||
ADataType, // ADataType
|
||||
BDataType, // BDataType
|
||||
CDataType, // CDataType
|
||||
AccDataType, // AccDataType
|
||||
ALayout, // ALayout
|
||||
BLayout, // BLayout
|
||||
CLayout, // CLayout
|
||||
AElementOp, // AElementwiseOperation
|
||||
BElementOp, // BElementwiseOperation
|
||||
CElementOp, // CElementwiseOperation
|
||||
256, // BlockSize
|
||||
256, // MPerBlock
|
||||
128, // NPerBlock
|
||||
4, // K0PerBlock
|
||||
8, // K1
|
||||
32, // MPerXDL
|
||||
32, // NPerXDL
|
||||
4, // MXdlPerWave
|
||||
2, // NXdlPerWave
|
||||
S<4, 64, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
|
||||
S<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
|
||||
S<1, 0, 2>, // ABlockTransferSrcAccessOrder
|
||||
2, // ABlockTransferSrcVectorDim
|
||||
8, // ABlockTransferSrcScalarPerVector
|
||||
8, // ABlockTransferDstScalarPerVector_K1
|
||||
true, // ABlockLdsAddExtraM
|
||||
S<4, 64, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
|
||||
S<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
|
||||
S<1, 0, 2>, // BBlockTransferSrcAccessOrder
|
||||
2, // BBlockTransferSrcVectorDim
|
||||
8, // BBlockTransferSrcScalarPerVector
|
||||
8, // BBlockTransferDstScalarPerVector_K1
|
||||
true, // BBlockLdsAddExtraN
|
||||
1, // CShuffleMXdlPerWavePerShuffle
|
||||
1, // CShuffleNXdlPerWavePerShuffle
|
||||
S<1, 1, 32, 1, 1, 8>, // CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl
|
||||
8>; // CBlockTransferScalarPerVector_NWaveNPerXdl
|
||||
// clang-format on
|
||||
|
||||
template <typename AType,
|
||||
|
||||
2
script/clang-format-overwrite.sh
Normal file
2
script/clang-format-overwrite.sh
Normal file
@@ -0,0 +1,2 @@
|
||||
find . -name deps -prune -o -name build -prune -o -iname '*.h' -o -iname '*.hpp' -o -iname '*.cpp' -o -iname '*.h.in' -o -iname '*.hpp.in' -o -iname '*.cpp.in' -o -iname '*.cl' -o -iname '*.cuh' -o -iname '*.cu' | xargs -n 1 -P 16 -I{} -t sh -c 'clang-format-10 -i -style=file {}'
|
||||
|
||||
Reference in New Issue
Block a user