mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 08:50:17 +00:00
load smaller weight tensor
This commit is contained in:
Chao Liu
@@ -4,6 +4,7 @@
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#include "gridwise_convolution_wrapper.hip.hpp"
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#include "gridwise_convolution_implicit_gemm_v1_chwn_cyxk_khwn.hip.hpp"
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#include "gridwise_convolution_implicit_gemm_v1_chwn_cyxk_khwn_lds_double_buffer.hip.hpp"
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#include "gridwise_convolution_implicit_gemm_v1r2_chwn_cyxk_khwn.hip.hpp"
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template <class T, class InDesc, class WeiDesc, class OutDesc>
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void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
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@@ -178,33 +179,12 @@ void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t BlockSize = 128;
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#elif 0
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// for 7x7, 38x38
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constexpr index_t NPerBlock = 8;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 1;
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constexpr index_t HoPerBlock = 4;
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constexpr index_t WoPerBlock = 4;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t WeiBlockCopyThreadPerDim0 = 4;
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constexpr index_t WeiBlockCopyThreadPerDim1 = 32;
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constexpr index_t InBlockCopyDataPerRead = 4; // not used, yet
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constexpr index_t WeiBlockCopyDataPerRead = 4;
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constexpr index_t BlockSize = 128;
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#elif 1
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// for 3x3, 56x56
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constexpr index_t NPerBlock = 32;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 4;
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// for 7x7, 38x38
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constexpr index_t NPerBlock = 16;
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constexpr index_t KPerBlock = 128;
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constexpr index_t CPerBlock = 8;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 2;
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@@ -216,19 +196,50 @@ void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
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constexpr index_t GemmMPerThreadSubC = 4;
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constexpr index_t GemmNPerThreadSubC = 4;
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constexpr index_t GemmMLevel0Cluster = 4;
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constexpr index_t GemmNLevel0Cluster = 4;
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constexpr index_t GemmMLevel1Cluster = 2;
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constexpr index_t GemmNLevel0Cluster = 2;
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constexpr index_t GemmMLevel1Cluster = 4;
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constexpr index_t GemmNLevel1Cluster = 2;
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constexpr index_t GemmKPerThreadLoop = 1;
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constexpr index_t InBlockCopy_ThreadPerDimC = 1;
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constexpr index_t InBlockCopy_ThreadPerDimC = 2;
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constexpr index_t InBlockCopy_ThreadPerDimH = 4;
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constexpr index_t InBlockCopy_ThreadPerDimW = 4;
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constexpr index_t InBlockCopy_ThreadPerDimN = 8;
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constexpr index_t InBlockCopy_ThreadPerDimN = 4;
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constexpr index_t InBlockCopyDataPerRead = 4;
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constexpr index_t WeiBlockCopyDataPerRead = 4;
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constexpr index_t OutThreadCopyDataPerWrite = 2;
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constexpr index_t OutThreadCopyDataPerWrite = 4;
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constexpr index_t BlockSize = 128;
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#elif 1
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// for 3x3, 56x56
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constexpr index_t NPerBlock = 16;
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constexpr index_t KPerBlock = 128;
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constexpr index_t CPerBlock = 8;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 2;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 8;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 2;
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constexpr index_t GemmMPerThreadSubC = 4;
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constexpr index_t GemmNPerThreadSubC = 4;
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constexpr index_t GemmMLevel0Cluster = 4;
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constexpr index_t GemmNLevel0Cluster = 2;
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constexpr index_t GemmMLevel1Cluster = 4;
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constexpr index_t GemmNLevel1Cluster = 2;
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constexpr index_t GemmKPerThreadLoop = 1;
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constexpr index_t InBlockCopy_ThreadPerDimC = 2;
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constexpr index_t InBlockCopy_ThreadPerDimH = 4;
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constexpr index_t InBlockCopy_ThreadPerDimW = 4;
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constexpr index_t InBlockCopy_ThreadPerDimN = 4;
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constexpr index_t InBlockCopyDataPerRead = 4;
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constexpr index_t WeiBlockCopyDataPerRead = 4;
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constexpr index_t OutThreadCopyDataPerWrite = 4;
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constexpr index_t BlockSize = 128;
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#elif 0
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@@ -264,7 +275,7 @@ void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
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constexpr index_t OutThreadCopyDataPerWrite = 2;
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constexpr index_t BlockSize = 128;
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#elif 0
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#elif 1
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// for 1x1, 14x14, Pascal
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constexpr index_t NPerBlock = 16;
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constexpr index_t KPerBlock = 128;
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@@ -306,9 +317,11 @@ void device_implicit_gemm_convolution_1_chwn_cyxk_khwn(InDesc,
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for(index_t i = 0; i < nrepeat; ++i)
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{
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constexpr auto gridwise_conv =
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#if 1
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#if 0
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GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
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#else
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#elif 1
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GridwiseConvolutionImplicitGemm_v1r2_chwn_cyxk_khwn
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#elif 0
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GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn_lds_double_buffer
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#endif
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<GridSize,
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@@ -421,13 +421,13 @@ int main(int argc, char* argv[])
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 1
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#elif 0
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// 3x3, 56x56
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constexpr index_t N = 64;
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constexpr index_t C = 64;
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constexpr index_t HI = 56;
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constexpr index_t WI = 56;
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constexpr index_t K = 64;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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@@ -454,13 +454,13 @@ int main(int argc, char* argv[])
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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#elif 1
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// 7x7, 38x38
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constexpr index_t N = 64;
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constexpr index_t C = 256;
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constexpr index_t HI = 38;
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constexpr index_t WI = 38;
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constexpr index_t K = 64;
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constexpr index_t K = 128;
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constexpr index_t Y = 7;
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constexpr index_t X = 7;
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@@ -644,6 +644,9 @@ int main(int argc, char* argv[])
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#if 0
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in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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#elif 0
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in_nchw.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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#elif 1
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in_nchw.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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@@ -666,7 +669,7 @@ int main(int argc, char* argv[])
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device_direct_convolution_2_vectorized_nchw_kcyx_nkhw
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#elif 1
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device_implicit_gemm_convolution_1_chwn_cyxk_khwn
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#elif 1
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#elif 0
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device_implicit_gemm_convolution_2_chwn_cyxk_khwn
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#endif
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(in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
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@@ -95,15 +95,18 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
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// tensor view of blockwise input and weight in LDS
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// be careful of alignment
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constexpr index_t max_align =
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mod_conv::max(index_t(4), InBlockCopyDataPerRead, WeiBlockCopyDataPerRead);
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constexpr auto in_chwn_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, HiPerBlock, WiPerBlock, NPerBlock>{},
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Number<InBlockCopyDataPerRead>{});
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Number<max_align>{});
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constexpr auto wei_ek_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock * Y * X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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Sequence<CPerBlock * Y * X, KPerBlock>{}, Number<max_align>{});
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constexpr auto wei_cyxk_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, Y, X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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Sequence<CPerBlock, Y, X, KPerBlock>{}, Number<max_align>{});
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// tensor view of threadwise output in register
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constexpr auto out_khwn_thread_desc = make_ConstantTensorDescriptor(
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@@ -147,7 +150,7 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
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constexpr auto c_kxwn_thread_mtx_desc =
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make_ConstantMatrixDescriptor(Number<KPerThread>{},
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Number<WoPerThread * NPerThread>{},
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Number<out_khwn_thread_desc.GetStride(I1)>{});
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Number<out_khwn_thread_desc.GetStride(I0)>{});
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const auto blockwise_batch_gemm =
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BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2<
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@@ -169,9 +172,6 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn
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HoPerThread>{};
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// LDS: be careful of alignment
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constexpr index_t max_align =
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mod_conv::max(index_t(4), InBlockCopyDataPerRead, WeiBlockCopyDataPerRead);
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constexpr index_t in_block_space = in_chwn_block_desc.GetElementSpace(Number<max_align>{});
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constexpr index_t wei_block_space =
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@@ -98,15 +98,18 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn_lds_double_buffer
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// tensor view of blockwise input and weight in LDS
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// be careful of alignment
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constexpr index_t max_align =
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mod_conv::max(index_t(4), InBlockCopyDataPerRead, WeiBlockCopyDataPerRead);
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constexpr auto in_chwn_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, HiPerBlock, WiPerBlock, NPerBlock>{},
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Number<InBlockCopyDataPerRead>{});
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Number<max_align>{});
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constexpr auto wei_ek_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock * Y * X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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Sequence<CPerBlock * Y * X, KPerBlock>{}, Number<max_align>{});
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constexpr auto wei_cyxk_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, Y, X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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Sequence<CPerBlock, Y, X, KPerBlock>{}, Number<max_align>{});
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// tensor view of threadwise output in register
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constexpr auto out_khwn_thread_desc = make_ConstantTensorDescriptor(
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@@ -150,7 +153,7 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn_lds_double_buffer
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constexpr auto c_kxwn_thread_mtx_desc =
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make_ConstantMatrixDescriptor(Number<KPerThread>{},
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Number<WoPerThread * NPerThread>{},
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Number<out_khwn_thread_desc.GetStride(I1)>{});
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Number<out_khwn_thread_desc.GetStride(I0)>{});
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const auto blockwise_batch_gemm =
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BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2<
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@@ -172,9 +175,6 @@ struct GridwiseConvolutionImplicitGemm_v1_chwn_cyxk_khwn_lds_double_buffer
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HoPerThread>{};
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// LDS: be careful of alignment
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constexpr index_t max_align =
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mod_conv::max(index_t(4), InBlockCopyDataPerRead, WeiBlockCopyDataPerRead);
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constexpr index_t in_block_space = in_chwn_block_desc.GetElementSpace(Number<max_align>{});
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constexpr index_t wei_block_space =
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@@ -0,0 +1,335 @@
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#pragma once
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#include "common.hip.hpp"
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#include "ConstantTensorDescriptor.hip.hpp"
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#include "ConstantMatrixDescriptor.hip.hpp"
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#include "blockwise_4d_tensor_op.hip.hpp"
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#include "blockwise_2d_tensor_op.hip.hpp"
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#include "threadwise_nd_tensor_op.hip.hpp"
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#include "threadwise_4d_tensor_op.hip.hpp"
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#include "blockwise_batched_gemm.hip.hpp"
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template <index_t GridSize,
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index_t BlockSize,
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class Float,
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class InGlobalDesc,
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class WeiGlobalDesc,
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class OutGlobalDesc,
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index_t NPerBlock,
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index_t KPerBlock,
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index_t CPerBlock,
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index_t HoPerBlock,
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index_t WoPerBlock,
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index_t NPerThread,
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index_t KPerThread,
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index_t HoPerThread,
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index_t WoPerThread,
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index_t GemmMPerThreadSubC,
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index_t GemmNPerThreadSubC,
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index_t GemmMLevel0Cluster,
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index_t GemmNLevel0Cluster,
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index_t GemmMLevel1Cluster,
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index_t GemmNLevel1Cluster,
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index_t GemmKPerThreadLoop,
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class InBlockCopyThreadPerDims,
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index_t InBlockCopyDataPerRead,
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index_t WeiBlockCopyDataPerRead,
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index_t OutThreadCopyDataPerWrite>
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struct GridwiseConvolutionImplicitGemm_v1r2_chwn_cyxk_khwn
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{
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__device__ void Run(const Float* const __restrict__ p_in_global,
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const Float* const __restrict__ p_wei_global,
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Float* const __restrict__ p_out_global) const
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{
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// be careful of this assertion
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static_assert(NPerThread <= NPerBlock && NPerBlock % NPerThread == 0,
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"wrong! should satisfy: NPerThread <= NPerBlock && NPerBlock % NPerThread == 0");
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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constexpr auto in_chwn_global_desc = InGlobalDesc{};
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constexpr auto wei_cyxk_global_desc = WeiGlobalDesc{};
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constexpr auto out_khwn_global_desc = OutGlobalDesc{};
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constexpr index_t C = in_chwn_global_desc.GetLength(I0);
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constexpr index_t K = out_khwn_global_desc.GetLength(I0);
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constexpr index_t Ho = out_khwn_global_desc.GetLength(I1);
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constexpr index_t Wo = out_khwn_global_desc.GetLength(I2);
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constexpr index_t N = out_khwn_global_desc.GetLength(I3);
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constexpr index_t Y = wei_cyxk_global_desc.GetLength(I1);
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constexpr index_t X = wei_cyxk_global_desc.GetLength(I2);
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constexpr index_t HiPerBlock = HoPerBlock + Y - 1;
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constexpr index_t WiPerBlock = WoPerBlock + X - 1;
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// divide block work: [K, Ho, Wo, N]
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static_assert(N % NPerBlock == 0 && K % KPerBlock == 0 && C % CPerBlock == 0 && Ho % HoPerBlock == 0 && Wo % WoPerBlock == 0,
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"wrong! cannot evenly divide work for workgroup ");
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constexpr index_t KBlockWork = (K + KPerBlock - 1) / KPerBlock;
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constexpr index_t HBlockWork = (Ho + HoPerBlock - 1) / HoPerBlock;
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constexpr index_t WBlockWork = (Wo + WoPerBlock - 1) / WoPerBlock;
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constexpr index_t NBlockWork = (N + NPerBlock - 1) / NPerBlock;
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const index_t k_block_work_id = get_block_1d_id() / (HBlockWork * WBlockWork * NBlockWork);
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index_t itmp = get_block_1d_id() - k_block_work_id * (HBlockWork * WBlockWork * NBlockWork);
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const index_t h_block_work_id = itmp / (WBlockWork * NBlockWork);
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itmp -= h_block_work_id * (WBlockWork * NBlockWork);
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const index_t w_block_work_id = itmp / NBlockWork;
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const index_t n_block_work_id = itmp - w_block_work_id * NBlockWork;
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const index_t k_block_data_begin = k_block_work_id * KPerBlock;
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const index_t ho_block_data_begin = h_block_work_id * HoPerBlock;
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const index_t wo_block_data_begin = w_block_work_id * WoPerBlock;
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const index_t n_block_data_begin = n_block_work_id * NPerBlock;
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const index_t hi_block_data_begin = ho_block_data_begin;
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const index_t wi_block_data_begin = wo_block_data_begin;
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// 2d tensor view of gridwise weight
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constexpr auto wei_ck_global_desc = make_ConstantTensorDescriptor(Sequence<C, K>{}, Sequence<Y * X * K, 1>{});
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// tensor view of blockwise input and weight in LDS
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// be careful of alignment
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constexpr index_t max_align =
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mod_conv::max(index_t(4), InBlockCopyDataPerRead, WeiBlockCopyDataPerRead);
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constexpr auto in_chwn_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, HiPerBlock, WiPerBlock, NPerBlock>{}, Number<max_align>{});
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constexpr auto wei_ck_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, KPerBlock>{}, Number<max_align>{});
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// tensor view of threadwise output in register
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constexpr auto out_khwn_thread_desc = make_ConstantTensorDescriptor(
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Sequence<KPerThread, HoPerThread, WoPerThread, NPerThread>{});
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// blockwise copy
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// input: format is [C, Hi, Wi, N]
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const auto blockwise_in_copy =
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Blockwise4dTensorCopy3<BlockSize,
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Float,
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decltype(in_chwn_global_desc),
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decltype(in_chwn_block_desc),
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decltype(in_chwn_block_desc.GetLengths()),
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InBlockCopyThreadPerDims,
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InBlockCopyDataPerRead>{};
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// blockwise wei copy
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// format is [CPerBlock, KPerBlock]
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const auto blockwise_wei_copy =
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#if 0//debug
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Blockwise2dTensorCopy1<BlockSize,
|
||||
Float,
|
||||
decltype(wei_ck_global_desc),
|
||||
decltype(wei_ck_block_desc),
|
||||
decltype(wei_ck_block_desc.GetLengths())>{};
|
||||
#else
|
||||
Blockwise2dTensorCopy3<BlockSize,
|
||||
Float,
|
||||
decltype(wei_ck_global_desc),
|
||||
decltype(wei_ck_block_desc),
|
||||
decltype(wei_ck_block_desc.GetLengths()),
|
||||
WeiBlockCopyDataPerRead>{};
|
||||
#endif
|
||||
|
||||
// a series of blockwise batched GEMM
|
||||
// C_matrix += transpose(A_matrix) * B_matrix
|
||||
// A_matrix and B_matrix saved in LDS, C_matrix saved in register
|
||||
// A_matrix[C,K] is a sub-matrix of wei_block[C,K]
|
||||
// B_matrix[C,Wo*N] is a sub-matrix of in_block[C,Hi,Wi,N]
|
||||
// C_matrix[K,Wo*N] is a sub-matrix of out_block[K,Ho,Wo,N]
|
||||
constexpr auto a_cxk_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{}, Number<KPerBlock>{}, Number<wei_ck_block_desc.GetStride(I0)>{});
|
||||
|
||||
constexpr auto b_cxwn_block_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<CPerBlock>{},
|
||||
Number<WoPerBlock * NPerBlock>{},
|
||||
Number<in_chwn_block_desc.GetStride(I0)>{});
|
||||
|
||||
constexpr auto c_kxwn_thread_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<KPerThread>{},
|
||||
Number<WoPerThread * NPerThread>{},
|
||||
Number<out_khwn_thread_desc.GetStride(I0)>{});
|
||||
|
||||
const auto blockwise_batch_gemm =
|
||||
BlockwiseBatchGemmBlockABlockBThreadCTransANormalBNormalC_V2<
|
||||
BlockSize,
|
||||
decltype(a_cxk_block_mtx_desc),
|
||||
decltype(b_cxwn_block_mtx_desc),
|
||||
decltype(c_kxwn_thread_mtx_desc),
|
||||
0,
|
||||
in_chwn_block_desc.GetStride(I1),
|
||||
out_khwn_thread_desc.GetStride(I1),
|
||||
HoPerBlock,
|
||||
GemmMPerThreadSubC,
|
||||
GemmNPerThreadSubC,
|
||||
GemmMLevel0Cluster,
|
||||
GemmNLevel0Cluster,
|
||||
GemmMLevel1Cluster,
|
||||
GemmNLevel1Cluster,
|
||||
GemmKPerThreadLoop,
|
||||
HoPerThread>{};
|
||||
|
||||
// LDS: be careful of alignment
|
||||
constexpr index_t in_block_space = in_chwn_block_desc.GetElementSpace(Number<max_align>{});
|
||||
constexpr index_t wei_block_space = wei_ck_block_desc.GetElementSpace(Number<max_align>{});
|
||||
|
||||
__shared__ Float p_in_block[in_block_space];
|
||||
__shared__ Float p_wei_block[wei_block_space];
|
||||
|
||||
// register
|
||||
Float p_out_thread[out_khwn_thread_desc.GetElementSpace()];
|
||||
|
||||
#if 1
|
||||
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
|
||||
{
|
||||
print_ConstantTensorDescriptor(in_chwn_global_desc, "in_chwn_global_desc");
|
||||
print_ConstantTensorDescriptor(wei_cyxk_global_desc, "wei_cyxk_global_desc");
|
||||
print_ConstantTensorDescriptor(wei_ck_global_desc, "wei_ck_global_desc");
|
||||
|
||||
print_ConstantTensorDescriptor(in_chwn_block_desc, "in_chwn_block_desc");
|
||||
print_ConstantTensorDescriptor(wei_ck_block_desc, "wei_ck_block_desc");
|
||||
|
||||
printf("in_block_space %u, wei_block_space %u\n", in_block_space, wei_block_space);
|
||||
}
|
||||
#endif
|
||||
|
||||
// set threadwise output tensor to 0
|
||||
threadwise_4d_tensor_set_zero(out_khwn_thread_desc, p_out_thread);
|
||||
|
||||
const Float* p_in_global_block_offset =
|
||||
p_in_global +
|
||||
in_chwn_global_desc.Get1dIndex(
|
||||
0, hi_block_data_begin, wi_block_data_begin, n_block_data_begin);
|
||||
|
||||
const Float* p_wei_global_block_offset =
|
||||
p_wei_global + wei_cyxk_global_desc.Get1dIndex(0, 0, 0, k_block_data_begin);
|
||||
|
||||
for(index_t c_block_data_begin = 0; c_block_data_begin < C; c_block_data_begin += CPerBlock,
|
||||
p_in_global_block_offset += CPerBlock * in_chwn_global_desc.GetStride(I0),
|
||||
p_wei_global_block_offset += CPerBlock * wei_cyxk_global_desc.GetStride(I0))
|
||||
{
|
||||
// input: global mem to LDS
|
||||
blockwise_in_copy.Run(p_in_global_block_offset, p_in_block);
|
||||
|
||||
for(index_t y = 0; y < Y; ++y)
|
||||
{
|
||||
for(index_t x = 0; x < X; ++x)
|
||||
{
|
||||
// weight: global mem to LDS
|
||||
blockwise_wei_copy.Run(p_wei_global_block_offset +
|
||||
wei_cyxk_global_desc.Get1dIndex(0, y, x, 0),
|
||||
p_wei_block);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
blockwise_batch_gemm.Run(p_wei_block,
|
||||
p_in_block + in_chwn_block_desc.Get1dIndex(0, y, x, 0),
|
||||
p_out_thread);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// output: register to global mem,
|
||||
#if 0
|
||||
const auto c_thread_mtx_begin =
|
||||
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
|
||||
|
||||
for(index_t k = 0; k < out_khwn_thread_desc.GetLength(I0); ++k)
|
||||
{
|
||||
for(index_t ho = 0; ho < out_khwn_thread_desc.GetLength(I1); ++ho)
|
||||
{
|
||||
for(index_t wo = 0; wo < out_khwn_thread_desc.GetLength(I2); ++wo)
|
||||
{
|
||||
for(index_t n = 0; n < out_khwn_thread_desc.GetLength(I3); ++n)
|
||||
{
|
||||
const index_t b = out_khwn_thread_desc.Get1dIndex(0, 0, wo, n);
|
||||
|
||||
const auto c_thread_mtx_distance =
|
||||
blockwise_batch_gemm.GetDistanceFromBeginOfThreadMatrixC(ho, k, b);
|
||||
|
||||
const index_t ho_thread =
|
||||
c_thread_mtx_begin.batch + c_thread_mtx_distance.batch;
|
||||
const index_t k_thread = c_thread_mtx_begin.row + c_thread_mtx_distance.row;
|
||||
const index_t b_thread = c_thread_mtx_begin.col + c_thread_mtx_distance.col;
|
||||
|
||||
const index_t wo_thread = b_thread / NPerBlock;
|
||||
const index_t n_thread = b_thread % NPerBlock;
|
||||
|
||||
p_out_global[out_khwn_global_desc.Get1dIndex(k_block_data_begin + k_thread,
|
||||
ho_block_data_begin + ho_thread,
|
||||
wo_block_data_begin + wo_thread,
|
||||
n_block_data_begin + n_thread)] =
|
||||
p_out_thread[out_khwn_thread_desc.Get1dIndex(k, ho, wo, n)];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
#elif 1
|
||||
const auto c_thread_mtx_begin =
|
||||
blockwise_batch_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
|
||||
|
||||
const index_t k_thread_data_begin = c_thread_mtx_begin.row;
|
||||
const index_t ho_thread_data_begin = c_thread_mtx_begin.batch;
|
||||
const index_t wo_thread_data_begin = c_thread_mtx_begin.col / NPerBlock;
|
||||
const index_t n_thread_data_begin =
|
||||
c_thread_mtx_begin.col - NPerBlock * wo_thread_data_begin;
|
||||
|
||||
// output is a 10d tensor
|
||||
constexpr index_t N2 = GemmNPerThreadSubC;
|
||||
constexpr index_t N1 = NPerBlock / N2;
|
||||
|
||||
constexpr index_t W2 =
|
||||
(GemmNLevel0Cluster * GemmNLevel1Cluster) / (NPerBlock / GemmNPerThreadSubC);
|
||||
constexpr index_t W1 = WoPerBlock / W2;
|
||||
|
||||
constexpr index_t K2 = GemmMPerThreadSubC;
|
||||
constexpr index_t K1 = KPerBlock / KPerThread;
|
||||
|
||||
constexpr auto out_10d_global_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<K / (K1 * K2),
|
||||
K1,
|
||||
K2,
|
||||
Ho,
|
||||
Wo / (W1 * W2),
|
||||
W1,
|
||||
W2,
|
||||
N / (N1 * N2),
|
||||
N1,
|
||||
N2>{});
|
||||
|
||||
constexpr auto out_10d_thread_desc = make_ConstantTensorDescriptor(
|
||||
Sequence<KPerThread / K2, 1, K2, HoPerThread, 1, W1, 1, 1, 1, N2>{});
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
|
||||
{
|
||||
print_ConstantTensorDescriptor(out_khwn_thread_desc, "out_khwn_thread_desc");
|
||||
print_ConstantTensorDescriptor(out_10d_thread_desc, "out_10d_thread_desc");
|
||||
|
||||
print_ConstantTensorDescriptor(out_khwn_global_desc, "out_khwn_global_desc");
|
||||
print_ConstantTensorDescriptor(out_10d_global_desc, "out_10d_global_desc");
|
||||
}
|
||||
#endif
|
||||
|
||||
threadwise_10d_tensor_copy(
|
||||
out_10d_thread_desc,
|
||||
p_out_thread,
|
||||
out_10d_global_desc,
|
||||
p_out_global +
|
||||
out_khwn_global_desc.Get1dIndex(k_block_data_begin + k_thread_data_begin,
|
||||
ho_block_data_begin + ho_thread_data_begin,
|
||||
wo_block_data_begin + wo_thread_data_begin,
|
||||
n_block_data_begin + n_thread_data_begin),
|
||||
out_10d_thread_desc.GetLengths(),
|
||||
Number<OutThreadCopyDataPerWrite>{});
|
||||
#endif
|
||||
}
|
||||
};
|
||||
Reference in New Issue
Block a user