Skip to content

GitLab

"tests/pipelines/wuerstchen/test_wuerstchen_decoder.py" did not exist on "32ea2142c056fae722b0cabaa799697a861cd039"
Unverified Commit 31b40352 authored by Chao Liu's avatar Chao Liu Committed by GitHub
Browse files

Merge pull request #16 from ROCmSoftwarePlatform/develop 

Merge develop into master
parents 5781adf5 b62bf8c3
Hide whitespace changes
Inline Side-by-side
Showing with 1090 additions and 6129 deletions
composable_kernel/src/kernel_wrapper/dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.cpp → composable_kernel/src/kernel_wrapper/convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.cpp
View file @ 31b40352
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_gemm_xdlops_v2r3.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_gemm_xdlops_v2r3.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw.hpp"
using namespace ck;
......@@ -60,8 +60,7 @@ using CThreadTransferSrcDstAccessOrder = Sequence<CK_PARAM_CThreadTransferSrcDst
constexpr index_t CThreadTransferSrcDstVectorDim = CK_PARAM_CThreadTransferSrcDstVectorDim;
constexpr index_t CThreadTransferDstScalarPerVector = CK_PARAM_CThreadTransferDstScalarPerVector;
extern "C" __global__ void
dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw_prepare(
extern "C" __global__ void convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw_prepare(
int n,
int c,
int hi,
......@@ -89,12 +88,9 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw_prepare(
const index_t ho = (hi + leftPadH + rightPadH - convDilationY * (y - 1) - 1) / convStrideH + 1;
const index_t wo = (wi + leftPadW + rightPadW - convDilationX * (x - 1) - 1) / convStrideW + 1;
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, c, hi, wi));
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(k, c, y, x));
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, k, ho, wo));
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(make_tuple(n, c, hi, wi));
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(make_tuple(k, c, y, x));
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(make_tuple(n, k, ho, wo));
const auto descs = transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
wei_k_c_y_x_desc,
......@@ -114,12 +110,12 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw_prepare(
using BK0NK1GridDesc = decltype(b_k0_n_k1_grid_desc);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using AGridIteratorHacks = decltype(make_tuple(
using AGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{})));
using BGridIteratorHacks =
using BGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -127,68 +123,68 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw_prepare(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using GridwiseGemm =
GridwiseDynamicGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks,
false>;
GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks,
false>;
auto c_m0_m1_m2_n_grid_desc = GridwiseGemm::MakeCM0M1M2NGridDescriptor(c_m_n_grid_desc);
......@@ -212,7 +208,7 @@ extern "C" __global__ void
#if CK_USE_LAUNCH_BOUNDS
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
#endif
dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw(
convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw(
const FloatAB* __restrict__ p_a_grid,
const FloatAB* __restrict__ p_b_grid,
FloatC* __restrict__ p_c_grid,
......@@ -227,11 +223,11 @@ extern "C" __global__ void
constexpr auto I2 = Number<2>{};
constexpr auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 3, 3));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 3, 3));
constexpr auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto descs =
transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(wei_k_c_y_x_desc,
......@@ -247,12 +243,12 @@ extern "C" __global__ void
constexpr auto b_k0_n_k1_grid_desc_tmp = descs[I1];
constexpr auto c_m_n_grid_desc = descs[I2];
using AGridIteratorHacks = decltype(make_tuple(
using AGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{})));
using BGridIteratorHacks =
using BGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -260,72 +256,72 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using AK0MK1GridDesc = decltype(a_k0_m_k1_grid_desc_tmp);
using BK0NK1GridDesc = decltype(b_k0_n_k1_grid_desc_tmp);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using GridwiseGemm =
GridwiseDynamicGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks,
false>;
GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks,
false>;
constexpr auto c_m0_m1_m2_n_grid_desc_tmp =
GridwiseGemm::MakeCM0M1M2NGridDescriptor(c_m_n_grid_desc);
......
composable_kernel/src/kernel_wrapper/dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk.cpp → composable_kernel/src/kernel_wrapper/convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk.cpp
View file @ 31b40352
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_gemm_xdlops_v2r3.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_gemm_xdlops_v2r3.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk.hpp"
using namespace ck;
......@@ -60,8 +60,7 @@ using CThreadTransferSrcDstAccessOrder = Sequence<CK_PARAM_CThreadTransferSrcDst
constexpr index_t CThreadTransferSrcDstVectorDim = CK_PARAM_CThreadTransferSrcDstVectorDim;
constexpr index_t CThreadTransferDstScalarPerVector = CK_PARAM_CThreadTransferDstScalarPerVector;
extern "C" __global__ void
dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk_prepare(
extern "C" __global__ void convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk_prepare(
int n,
int hi,
int wi,
......@@ -89,12 +88,9 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk_prepare(
const index_t ho = (hi + leftPadH + rightPadH - convDilationY * (y - 1) - 1) / convStrideH + 1;
const index_t wo = (wi + leftPadW + rightPadW - convDilationX * (x - 1) - 1) / convStrideW + 1;
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, hi, wi, c));
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(k, y, x, c));
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(n, ho, wo, k));
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(make_tuple(n, hi, wi, c));
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(make_tuple(k, y, x, c));
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(make_tuple(n, ho, wo, k));
const auto descs = transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(
in_n_hi_wi_c_desc,
......@@ -114,12 +110,12 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk_prepare(
using BK0NK1GridDesc = decltype(b_k0_n_k1_grid_desc);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using BGridIteratorHacks = decltype(make_tuple(
using BGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{})));
using AGridIteratorHacks =
using AGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -127,68 +123,68 @@ dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk_prepare(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using GridwiseGemm =
GridwiseDynamicGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks,
false>;
GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks,
false>;
auto c_m0_m1_m2_n_grid_desc = GridwiseGemm::MakeCM0M1M2NGridDescriptor(c_m_n_grid_desc);
......@@ -212,7 +208,7 @@ extern "C" __global__ void
#if CK_USE_LAUNCH_BOUNDS
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
#endif
dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk(
convolution_forward_implicit_gemm_v4r4_xdlops_nhwc_kyxc_nhwk(
const FloatAB* __restrict__ p_a_grid,
const FloatAB* __restrict__ p_b_grid,
FloatC* __restrict__ p_c_grid,
......@@ -225,14 +221,13 @@ extern "C" __global__ void
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 28, 28, 256));
make_naive_tensor_descriptor_packed(make_tuple(256, 28, 28, 256));
constexpr auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 3, 3, 256));
make_naive_tensor_descriptor_packed(make_tuple(256, 3, 3, 256));
constexpr auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 28, 28, 256));
make_naive_tensor_descriptor_packed(make_tuple(256, 28, 28, 256));
constexpr auto descs =
transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk_pad(in_n_hi_wi_c_desc,
......@@ -252,12 +247,12 @@ extern "C" __global__ void
using BK0NK1GridDesc = decltype(b_k0_n_k1_grid_desc_tmp);
using CMNGridDesc = decltype(c_m_n_grid_desc);
using BGridIteratorHacks = decltype(make_tuple(
using BGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{})));
using AGridIteratorHacks =
using AGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -265,68 +260,68 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{})));
using CGridIteratorHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using BGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0>;
using CGridStepHacks = decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{}),
make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{})));
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>;
using BGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0>;
using GridwiseGemm =
GridwiseDynamicGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks,
false>;
GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3<BlockSize,
FloatAB,
FloatAcc,
FloatC,
InMemoryDataOperationEnum_t::Set,
AK0MK1GridDesc,
BK0NK1GridDesc,
CMNGridDesc,
MPerBlock,
NPerBlock,
KPerBlock,
MPerWave,
NPerWave,
K1,
MRepeat,
NRepeat,
ABlockTransferThreadSliceLengths_K0_M_K1,
ABlockTransferThreadClusterLengths_K0_M_K1,
ABlockTransferThreadClusterArrangeOrder,
ABlockTransferSrcAccessOrder,
ABlockTransferSrcVectorDim,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_K1,
AThreadTransferSrcResetCoordinateAfterRun,
BBlockTransferThreadSliceLengths_K0_N_K1,
BBlockTransferThreadClusterLengths_K0_N_K1,
BBlockTransferThreadClusterArrangeOrder,
BBlockTransferSrcAccessOrder,
BBlockTransferSrcVectorDim,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_K1,
BThreadTransferSrcResetCoordinateAfterRun,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks,
false>;
constexpr auto c_m0_m1_m2_n_grid_desc_tmp =
GridwiseGemm::MakeCM0M1M2NGridDescriptor(c_m_n_grid_desc);
constexpr auto c_blockid_to_m0_n0_block_cluster_adaptor_tmp =
......
composable_kernel/src/kernel_wrapper/dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw.cpp → composable_kernel/src/kernel_wrapper/convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw.cpp
View file @ 31b40352
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_contraction_dlops_v1r2.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_contraction_dlops_v1r2.hpp"
#include "transform_forward_convolution_into_gemm_v6r1_nchw_kcyx_nkhw.hpp"
using namespace ck;
......@@ -62,23 +62,39 @@ constexpr bool HasMainKBlockLoop = static_cast<bool>(CK_PARAM_HasMainKBloc
constexpr bool HasDoubleTailKBlockLoop = static_cast<bool>(CK_PARAM_HasDoubleTailKBlockLoop);
extern "C" __global__ void
dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(index_t N,
index_t C,
index_t Hi,
index_t Wi,
index_t K,
index_t Y,
index_t X,
index_t ConvStrideH,
index_t ConvStrideW,
index_t ConvDilationH,
index_t ConvDilationW,
index_t InLeftPadH,
index_t InLeftPadW,
index_t InRightPadH,
index_t InRightPadW,
void* p_desc_tuple)
convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(int N_,
int C_,
int Hi_,
int Wi_,
int K_,
int Y_,
int X_,
int ConvStrideH_,
int ConvStrideW_,
int ConvDilationH_,
int ConvDilationW_,
int InLeftPadH_,
int InLeftPadW_,
int InRightPadH_,
int InRightPadW_,
void* p_desc_tuple)
{
index_t N = static_cast<index_t>(N_);
index_t C = static_cast<index_t>(C_);
index_t Hi = static_cast<index_t>(Hi_);
index_t Wi = static_cast<index_t>(Wi_);
index_t K = static_cast<index_t>(K_);
index_t Y = static_cast<index_t>(Y_);
index_t X = static_cast<index_t>(X_);
index_t ConvStrideH = static_cast<index_t>(ConvStrideH_);
index_t ConvStrideW = static_cast<index_t>(ConvStrideW_);
index_t ConvDilationH = static_cast<index_t>(ConvDilationH_);
index_t ConvDilationW = static_cast<index_t>(ConvDilationW_);
index_t InLeftPadH = static_cast<index_t>(InLeftPadH_);
index_t InLeftPadW = static_cast<index_t>(InLeftPadW_);
index_t InRightPadH = static_cast<index_t>(InRightPadH_);
index_t InRightPadW = static_cast<index_t>(InRightPadW_);
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
......@@ -88,12 +104,9 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
const index_t Wo =
(Wi + InLeftPadW + InRightPadW - ConvDilationW * (X - 1) - 1) / ConvStrideW + 1;
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, C, Hi, Wi));
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C, Y, X));
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho, Wo));
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(make_tuple(N, C, Hi, Wi));
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(make_tuple(K, C, Y, X));
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho, Wo));
const auto descs = transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(
wei_k_c_y_x_desc,
......@@ -114,7 +127,7 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
using BGridDesc_GK0_GN0_GN1_GK1 = decltype(b_grid_desc_gk0_gn0_gn1_gk1);
using CGridDesc_GM0_GM1_GN0_GN1 = decltype(c_grid_desc_gm0_gm1_gn0_gn1);
using AGridIteratorHacks =
using AGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 1+: GM0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 2+: GM10
......@@ -126,7 +139,7 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 3-: GM11
Sequence<0, 0, 0, 0, 0, 0, 0>{}))); // 4-: GK1
using BGridIteratorHacks = decltype(make_tuple(
using BGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 1+: GN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 2+: GN10
......@@ -138,7 +151,7 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0>{}, // 3-: GN11
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}))); // 4-: GK1
using CGridIteratorHacks = decltype(make_tuple(
using CGridStepHacks = decltype(make_tuple(
make_tuple(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GM10
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0>{}, // 1+: BM0
......@@ -154,13 +167,13 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{}, // 4-: BN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{}))); // 5-: GN1
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0>;
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks =
using BGridMoveSliceWindowStepHacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0>;
using GridwiseContraction =
GridwiseDynamicContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
GridwiseContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
BlockSize,
FloatAB,
FloatAcc,
......@@ -194,11 +207,11 @@ dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw_prepare(inde
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks>;
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks>;
if(get_block_1d_id() == 0 && get_thread_local_1d_id() == 0)
{
......@@ -220,7 +233,7 @@ extern "C" __global__ void
#if CK_USE_LAUNCH_BOUNDS
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
#endif
dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
const FloatAB* __restrict__ p_a_grid,
const FloatAB* __restrict__ p_b_grid,
FloatC* __restrict__ p_c_grid,
......@@ -232,11 +245,11 @@ extern "C" __global__ void
constexpr auto I3 = Number<3>{};
constexpr auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 3, 3));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 3, 3));
constexpr auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(256, 256, 28, 28));
make_naive_tensor_descriptor_packed(make_tuple(256, 256, 28, 28));
constexpr auto descs =
transform_forward_convolution_into_contraction_v6r1_nchw_kcyx_nkhw_pad(wei_k_c_y_x_desc,
......@@ -257,7 +270,7 @@ extern "C" __global__ void
using BGridDesc_GK0_GN0_GN1_GK1 = decltype(b_grid_desc_gk0_gn0_gn1_gk1);
using CGridDesc_GM0_GM1_GN0_GN1 = decltype(c_grid_desc_gm0_gm1_gn0_gn1);
using AGridIteratorHacks =
using AGridStepHacks =
decltype(make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 1+: GM0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 2+: GM10
......@@ -269,7 +282,7 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 3-: GM11
Sequence<0, 0, 0, 0, 0, 0, 0>{}))); // 4-: GK1
using BGridIteratorHacks = decltype(make_tuple(
using BGridStepHacks = decltype(make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 1+: GN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 2+: GN10
......@@ -281,7 +294,7 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0>{}, // 3-: GN11
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}))); // 4-: GK1
using CGridIteratorHacks = decltype(make_tuple(
using CGridStepHacks = decltype(make_tuple(
make_tuple(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GM10
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0>{}, // 1+: BM0
......@@ -297,13 +310,13 @@ extern "C" __global__ void
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{}, // 4-: BN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{}))); // 5-: GN1
using AGridMoveSliceWindowIteratorHacks = Sequence<0, 0, 0, 0, 0, 0, 0>;
using AGridMoveSliceWindowStepHacks = Sequence<0, 0, 0, 0, 0, 0, 0>;
using BGridMoveSliceWindowIteratorHacks =
using BGridMoveSliceWindowStepHacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0>;
using GridwiseContraction =
GridwiseDynamicContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
GridwiseContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
BlockSize,
FloatAB,
FloatAcc,
......@@ -337,11 +350,11 @@ extern "C" __global__ void
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks>;
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks>;
using AGridDesc_GK0_GM0_GM10_GM11_GK1 =
decltype(GridwiseContraction::MakeAGridDescriptor_GK0_GM0_GM10_GM11_GK1(
......
external/half/include/half.hpp deleted 100644 → 0
View file @ 5781adf5
This source diff could not be displayed because it is too large. You can view the blob instead.
host/CMakeLists.txt
View file @ 31b40352
add_subdirectory(host_tensor)
add_subdirectory(online_compile)
add_subdirectory(driver_offline)
add_subdirectory(driver_online)
host/driver_offline/CMakeLists.txt
View file @ 31b40352
......@@ -9,11 +9,10 @@ include_directories(BEFORE
${PROJECT_SOURCE_DIR}/composable_kernel/include/problem_transform
${PROJECT_SOURCE_DIR}/composable_kernel/include/driver
${PROJECT_SOURCE_DIR}/external/rocm/include
${PROJECT_SOURCE_DIR}/external/half/include
)
set(CONV_FWD_DRIVER_OFFLINE_SOURCE conv_fwd_driver_offline.cpp)
set(CONV_BWD_DRIVER_OFFLINE_SOURCE conv_bwd_driver_offline.cpp)
set(CONV_FWD_DRIVER_OFFLINE_SOURCE src/conv_fwd_driver_offline.cpp)
set(CONV_BWD_DRIVER_OFFLINE_SOURCE src/conv_bwd_driver_offline.cpp)
add_executable(conv_fwd_driver_offline ${CONV_FWD_DRIVER_OFFLINE_SOURCE})
add_executable(conv_bwd_driver_offline ${CONV_BWD_DRIVER_OFFLINE_SOURCE})
......
host/driver_offline/include/device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_backward_data_convolution_into_gemm_v4r1_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_xdlops_v2r3.hpp"
#include "driver_gemm_xdlops_v2r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyxc_nhwk(
void device_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -35,11 +35,6 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_hi_wi_c_device_buf(sizeof(TInWei) * in_n_hi_wi_c.mDesc.GetElementSpace());
DeviceMem wei_k_y_x_c_device_buf(sizeof(TInWei) * wei_k_y_x_c.mDesc.GetElementSpace());
......@@ -49,12 +44,9 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 1
// [M, N, K0, K1] = [128, 128, 4, 4] for fp32
......@@ -215,7 +207,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
const auto in_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks =
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 0+: gemmk0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: gemmm
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 2+: gemmk1
......@@ -223,7 +215,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1-: Gemmm
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 2-: Gemmk1
constexpr auto out_gemmk0_gemmn_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto out_gemmk0_gemmn_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 0+: gemmk0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0>{}, // 1+: gemmn
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 2+: gemmk1
......@@ -231,7 +223,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0>{}, // 1-: gemmn
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 2-: gemmk1
constexpr auto in_m0_m1_m2_n_grid_iterator_hacks = make_tuple(
constexpr auto in_m0_m1_m2_n_grid_step_hacks = make_tuple(
make_tuple(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: MRepeat
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 1+: NRepeat
......@@ -251,15 +243,15 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 6-: M2
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{})); // 7-: N1
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{};
constexpr auto out_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto out_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r3<
float ave_time = driver_gemm_xdlops_v2r3<
BlockSize,
TInWei,
TAcc,
......@@ -295,11 +287,11 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
Sequence<1, 3, 7, 0, 2, 4, 5, 6>,
6,
GemmCThreadTransferDstScalarPerVector,
decltype(wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(out_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(in_m0_m1_m2_n_grid_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(out_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(out_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(in_m0_m1_m2_n_grid_step_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(out_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks),
false // CAccessOrderMRepeatNRepeat
>(static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_ho_wo_k_device_buf.GetDeviceBuffer()),
......@@ -307,11 +299,11 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
wei_gemmk0_gemmm_gemmk1_grid_desc,
out_gemmk0_gemmn_gemmk1_grid_desc,
in_gemmm_gemmn_grid_desc,
wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
out_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
in_m0_m1_m2_n_grid_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
out_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_step_hacks,
out_gemmk0_gemmn_gemmk1_grid_step_hacks,
in_m0_m1_m2_n_grid_step_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
out_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......@@ -319,16 +311,13 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1_xdlops_nhwc_kyx
const auto K = out_n_ho_wo_k_lengths[I3];
const auto C = wei_k_y_x_c_lengths[I3];
const auto Hi = in_n_hi_wi_c_lengths[I1];
const auto Wi = in_n_hi_wi_c_lengths[I2];
const auto Ho = out_n_ho_wo_k_lengths[I1];
const auto Wo = out_n_ho_wo_k_lengths[I2];
const auto Y = wei_k_y_x_c_lengths[I1];
const auto X = wei_k_y_x_c_lengths[I2];
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
float perf = static_cast<float>((std::size_t(2) * N * K * Ho * Wo * C * Y * X)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
......
host/driver_offline/include/device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_backward_data_convolution_into_gemm_v4r1r2_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_xdlops_v2r3.hpp"
#include "driver_gemm_xdlops_v2r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk(
void device_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -35,11 +35,6 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_hi_wi_c_device_buf(sizeof(TInWei) * in_n_hi_wi_c.mDesc.GetElementSpace());
DeviceMem wei_k_y_x_c_device_buf(sizeof(TInWei) * wei_k_y_x_c.mDesc.GetElementSpace());
......@@ -49,12 +44,9 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 0
// [M, N, K0, K1] = [256, 128, 4, 4] for fp32
......@@ -187,7 +179,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
const auto in_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto out_gemmk0_gemmm_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto out_gemmk0_gemmm_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 0+: gemmk0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0>{}, // 1+: gemmm
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 2+: gemmk1
......@@ -195,7 +187,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0>{}, // 1-: gemmm
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 2-: gemmk1
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks =
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 0+: gemmk0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: gemmn
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 2+: gemmk1
......@@ -203,7 +195,7 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1-: Gemmn
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 2-: Gemmk1
constexpr auto in_m0_m1_m2_n_grid_iterator_hacks = make_tuple(
constexpr auto in_m0_m1_m2_n_grid_step_hacks = make_tuple(
make_tuple(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}, // 0+: MRepeat
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: NRepeat
......@@ -223,15 +215,15 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{}, // 6-: M2
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 7-: N1
constexpr auto out_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto out_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0>{};
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r3<
float ave_time = driver_gemm_xdlops_v2r3<
BlockSize,
TInWei,
TAcc,
......@@ -271,11 +263,11 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
#endif
7,
GemmCThreadTransferDstScalarPerVector,
decltype(out_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(in_m0_m1_m2_n_grid_iterator_hacks),
decltype(out_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(out_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(in_m0_m1_m2_n_grid_step_hacks),
decltype(out_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks),
true // CAccessOrderMRepeatNRepeat
>(static_cast<TOut*>(out_n_ho_wo_k_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
......@@ -283,11 +275,11 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
out_gemmk0_gemmm_gemmk1_grid_desc,
wei_gemmk0_gemmn_gemmk1_grid_desc,
in_gemmm_gemmn_grid_desc,
out_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
in_m0_m1_m2_n_grid_iterator_hacks,
out_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
out_gemmk0_gemmm_gemmk1_grid_step_hacks,
wei_gemmk0_gemmn_gemmk1_grid_step_hacks,
in_m0_m1_m2_n_grid_step_hacks,
out_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......@@ -295,16 +287,13 @@ void device_dynamic_convolution_backward_data_implicit_gemm_v4r1r2_xdlops_nhwc_k
const auto K = out_n_ho_wo_k_lengths[I3];
const auto C = wei_k_y_x_c_lengths[I3];
const auto Hi = in_n_hi_wi_c_lengths[I1];
const auto Wi = in_n_hi_wi_c_lengths[I2];
const auto Ho = out_n_ho_wo_k_lengths[I1];
const auto Wo = out_n_ho_wo_k_lengths[I2];
const auto Y = wei_k_y_x_c_lengths[I1];
const auto X = wei_k_y_x_c_lengths[I2];
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
float perf = static_cast<float>((std::size_t(2) * N * K * Ho * Wo * C * Y * X)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4_nchw_kcyx_nkhw.hpp"
#include "driver_dynamic_gemm_dlops_v1r2.hpp"
#include "driver_gemm_dlops_v1r2.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
void device_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
const InLengths& in_n_c_hi_wi_lengths,
const WeiLengths& wei_k_c_y_x_lengths,
const OutLengths& out_n_k_ho_wo_lengths,
......@@ -34,12 +34,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_c_hi_wi_device_buf(sizeof(TInWei) * in_n_c_hi_wi.mDesc.GetElementSpace());
DeviceMem wei_k_c_y_x_device_buf(sizeof(TInWei) * wei_k_c_y_x.mDesc.GetElementSpace());
......@@ -49,12 +43,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
wei_k_c_y_x_device_buf.ToDevice(wei_k_c_y_x.mData.data());
out_n_k_ho_wo_device_buf.ToDevice(out_n_k_ho_wo.mData.data());
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_k_ho_wo_lengths);
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(out_n_k_ho_wo_lengths);
#if 1
// cdata = 64, BlockSize = 256, 128x128x8
......@@ -98,7 +89,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
in_right_pads);
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_gemmk_gemmm0_gemmn1_grid_iterator_hacks =
constexpr auto wei_gemmk_gemmm0_gemmn1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -108,7 +99,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{}));
constexpr auto in_gemmk_gemmn0_gemmn1_grid_iterator_hacks =
constexpr auto in_gemmk_gemmn0_gemmn1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}),
......@@ -116,7 +107,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{}));
constexpr auto out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks =
constexpr auto out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -130,10 +121,10 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 2, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{}));
constexpr auto wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0>{};
constexpr auto in_gemmk_gemmn0_gemmn1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk_gemmn0_gemmn1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>{};
const auto wei_gemmk_gemmm_grid_desc = descs[I0];
......@@ -142,7 +133,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_dlops_v1r2<
float ave_time = driver_gemm_dlops_v1r2<
BlockSize,
TInWei,
TAcc,
......@@ -180,26 +171,26 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_dlops_nchw_kcyx_nkhw(
Sequence<3, 4, 5, 0, 1, 2>, // CThreadTransferSrcDstAccessOrder
5, // CThreadTransferSrcDstVectorDim
GemmCThreadTransferDstScalarPerVector_N11,
decltype(wei_gemmk_gemmm0_gemmn1_grid_iterator_hacks),
decltype(in_gemmk_gemmn0_gemmn1_grid_iterator_hacks),
decltype(out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks),
decltype(wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_iterator_hacks),
decltype(in_gemmk_gemmn0_gemmn1_grid_move_slice_window_iterator_hacks)>(
decltype(wei_gemmk_gemmm0_gemmn1_grid_step_hacks),
decltype(in_gemmk_gemmn0_gemmn1_grid_step_hacks),
decltype(out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks),
decltype(wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_step_hacks),
decltype(in_gemmk_gemmn0_gemmn1_grid_move_slice_window_step_hacks)>(
static_cast<TInWei*>(wei_k_c_y_x_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(in_n_c_hi_wi_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_k_ho_wo_device_buf.GetDeviceBuffer()),
wei_gemmk_gemmm_grid_desc,
in_gemmk_gemmn_grid_desc,
out_gemmm_gemmn_grid_desc,
wei_gemmk_gemmm0_gemmn1_grid_iterator_hacks,
in_gemmk_gemmn0_gemmn1_grid_iterator_hacks,
out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks,
wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_iterator_hacks,
in_gemmk_gemmn0_gemmn1_grid_move_slice_window_iterator_hacks,
wei_gemmk_gemmm0_gemmn1_grid_step_hacks,
in_gemmk_gemmn0_gemmn1_grid_step_hacks,
out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks,
wei_gemmk_gemmm0_gemmm1_grid_move_slice_window_step_hacks,
in_gemmk_gemmn0_gemmn1_grid_move_slice_window_step_hacks,
nrepeat);
float perf = (float)calculate_convolution_flops(
in_n_c_hi_wi_desc, wei_k_c_y_x_desc, out_n_k_ho_wo_desc) /
float perf = static_cast<float>(calculate_convolution_flops(
in_n_c_hi_wi_desc, wei_k_c_y_x_desc, out_n_k_ho_wo_desc)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s" << std::endl;
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
#include <unistd.h>
#include "device.hpp"
#include "host_tensor.hpp"
#include "driver_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp"
#include "driver_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp"
template <typename TInWei,
typename TAcc,
......@@ -13,7 +13,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw(
void device_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw(
const InLengths& in_n_c_hi_wi_lengths,
const WeiLengths& wei_k_c_y_x_lengths,
const OutLengths& out_n_k_ho_wo_lengths,
......@@ -48,12 +48,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw
wei_k_c_y_x_device_buf.ToDevice(wei_k_c_y_x.mData.data());
out_n_k_ho_wo_device_buf.ToDevice(out_n_k_ho_wo.mData.data());
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_k_ho_wo_lengths);
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(out_n_k_ho_wo_lengths);
#if 0
constexpr index_t BlockSize = 256;
......@@ -212,9 +209,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw
for(index_t i = 0; i < 5; ++i)
{
#if 0
float ave_time = launch_kernel_dynamic_gemm_xdlops_v1
float ave_time = launch_kernel_gemm_xdlops_v1
#else
float ave_time = launch_kernel_dynamic_gemm_xdlops_v2
float ave_time = launch_kernel_gemm_xdlops_v2
#endif
<BlockSize,
TInWei,
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_dlops_v1r3.hpp"
#include "driver_gemm_dlops_v1r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhwk(
void device_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -35,11 +35,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_hi_wi_c_device_buf(sizeof(TInWei) * in_n_hi_wi_c.mDesc.GetElementSpace());
DeviceMem wei_k_y_x_c_device_buf(sizeof(TInWei) * wei_k_y_x_c.mDesc.GetElementSpace());
......@@ -49,14 +44,11 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 1
#if 0
// [M, N, K0, K1] = [128, 128, 8, 1] for fp32
// cdata = 64, BlockSize = 256
constexpr index_t BlockSize = 256;
......@@ -163,7 +155,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
const auto out_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto in_gemmk0_gemmm0_gemmm1_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto in_gemmk0_gemmm0_gemmm1_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0>{}, // 0+: GemmK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 1+: GemmM0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 2+: GemmM1
......@@ -173,7 +165,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0>{}, // 3-: GemmM1
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0>{})); // 3-: GemmK1
constexpr auto wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_iterator_hacks =
constexpr auto wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GemmK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: GemmN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0>{}, // 2+: GemmN1
......@@ -183,7 +175,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
Sequence<0, 0, 0, 0, 0, 0, 0, 0>{}, // 2-: GemmN1
Sequence<0, 0, 0, 0, 0, 0, 0, 0>{})); // 3-: GemmK1
constexpr auto out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks =
constexpr auto out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{}, // 0+: GemmM0
Sequence<0, 0, 0, 0, 0>{}, // 1+: GemmM10
Sequence<0, 0, 0, 0, 0>{}, // 2+: GemmM11
......@@ -197,15 +189,15 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
Sequence<0, 0, 0, 0, 0>{}, // 4-: GemmN10
Sequence<0, 0, 0, 0, 0>{})); // 5-: GemmN11
constexpr auto in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0>{};
constexpr auto wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_dlops_v1r3<
float ave_time = driver_gemm_dlops_v1r3<
BlockSize,
TInWei,
TAcc,
......@@ -239,22 +231,22 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
Sequence<0, 1, 2, 3, 4, 5>, // CThreadTransferSrcDstAccessOrder
5, // CThreadTransferSrcDstVectorDim
GemmCThreadTransferDstScalarPerVector_N11,
decltype(in_gemmk0_gemmm0_gemmm1_gemmk1_grid_iterator_hacks),
decltype(wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_iterator_hacks),
decltype(out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks),
decltype(in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_iterator_hacks)>(
decltype(in_gemmk0_gemmm0_gemmm1_gemmk1_grid_step_hacks),
decltype(wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_step_hacks),
decltype(out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks),
decltype(in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_step_hacks),
decltype(wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_step_hacks)>(
static_cast<TInWei*>(in_n_hi_wi_c_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_ho_wo_k_device_buf.GetDeviceBuffer()),
in_gemmk0_gemmm_gemmk1_grid_desc,
wei_gemmk0_gemmn_gemmk1_grid_desc,
out_gemmm_gemmn_grid_desc,
in_gemmk0_gemmm0_gemmm1_gemmk1_grid_iterator_hacks,
wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_iterator_hacks,
out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_iterator_hacks,
in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_iterator_hacks,
in_gemmk0_gemmm0_gemmm1_gemmk1_grid_step_hacks,
wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_step_hacks,
out_gemmm0_gemmm10_gemmm11_gemmn0_gemmn10_gemmn11_grid_step_hacks,
in_gemmk0_gemmm0_gemmm1_gemmk1_grid_move_slice_window_step_hacks,
wei_gemmk0_gemmn0_gemmn1_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......@@ -262,16 +254,13 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_dlops_nhwc_kyxc_nhw
const auto K = out_n_ho_wo_k_lengths[I3];
const auto C = wei_k_y_x_c_lengths[I3];
const auto Hi = in_n_hi_wi_c_lengths[I1];
const auto Wi = in_n_hi_wi_c_lengths[I2];
const auto Ho = out_n_ho_wo_k_lengths[I1];
const auto Wo = out_n_ho_wo_k_lengths[I2];
const auto Y = wei_k_y_x_c_lengths[I1];
const auto X = wei_k_y_x_c_lengths[I2];
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
float perf = static_cast<float>(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw.hpp"
#include "driver_dynamic_gemm_xdlops_v2r3.hpp"
#include "driver_gemm_xdlops_v2r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw(
void device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw(
const InLengths& in_n_c_hi_wi_lengths,
const WeiLengths& wei_k_c_y_x_lengths,
const OutLengths& out_n_k_ho_wo_lengths,
......@@ -34,12 +34,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_c_hi_wi_device_buf(sizeof(TInWei) * in_n_c_hi_wi.mDesc.GetElementSpace());
DeviceMem wei_k_c_y_x_device_buf(sizeof(TInWei) * wei_k_c_y_x.mDesc.GetElementSpace());
......@@ -49,12 +43,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
wei_k_c_y_x_device_buf.ToDevice(wei_k_c_y_x.mData.data());
out_n_k_ho_wo_device_buf.ToDevice(out_n_k_ho_wo.mData.data());
const auto in_n_c_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_k_ho_wo_lengths);
const auto in_n_c_hi_wi_desc = make_naive_tensor_descriptor_packed(in_n_c_hi_wi_lengths);
const auto wei_k_c_y_x_desc = make_naive_tensor_descriptor_packed(wei_k_c_y_x_lengths);
const auto out_n_k_ho_wo_desc = make_naive_tensor_descriptor_packed(out_n_k_ho_wo_lengths);
#if 1
// [M, N, K0, K1] = [256, 128, 4, 8] for fp16
......@@ -101,12 +92,12 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
const auto out_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}));
constexpr auto in_gemmk0_gemmn_gemmk1_grid_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -114,7 +105,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{}));
constexpr auto out_m0_m1_m2_n_grid_iterator_hacks =
constexpr auto out_m0_m1_m2_n_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -132,15 +123,15 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{}));
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0>{};
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r3<
float ave_time = driver_gemm_xdlops_v2r3<
BlockSize,
TInWei,
TAcc,
......@@ -176,26 +167,26 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
Sequence<3, 0, 1, 2, 7, 5, 4, 6>,
7,
GemmCThreadTransferDstScalarPerVector,
decltype(wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(out_m0_m1_m2_n_grid_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(out_m0_m1_m2_n_grid_step_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks),
false>(static_cast<TInWei*>(wei_k_c_y_x_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(in_n_c_hi_wi_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_k_ho_wo_device_buf.GetDeviceBuffer()),
wei_gemmk0_gemmm_gemmk1_grid_desc,
in_gemmk0_gemmn_gemmk1_grid_desc,
out_gemmm_gemmn_grid_desc,
wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
out_m0_m1_m2_n_grid_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_step_hacks,
out_m0_m1_m2_n_grid_step_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
float perf = (float)calculate_convolution_flops(
in_n_c_hi_wi_desc, wei_k_c_y_x_desc, out_n_k_ho_wo_desc) /
float perf = static_cast<float>(calculate_convolution_flops(
in_n_c_hi_wi_desc, wei_k_c_y_x_desc, out_n_k_ho_wo_desc)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s" << std::endl;
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_xdlops_v2r2.hpp"
#include "driver_gemm_xdlops_v2r2.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nhwk(
void device_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -35,11 +35,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_hi_wi_c_device_buf(sizeof(TInWei) * in_n_hi_wi_c.mDesc.GetElementSpace());
DeviceMem wei_k_y_x_c_device_buf(sizeof(TInWei) * wei_k_y_x_c.mDesc.GetElementSpace());
......@@ -49,12 +44,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 1
// [M, N, K0, K1] = [256, 128, 4, 4] for fp32
......@@ -129,12 +121,12 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
const auto out_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}));
constexpr auto in_gemmk0_gemmn_gemmk1_grid_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -142,7 +134,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{}));
constexpr auto out_m0_m1_m2_n_grid_iterator_hacks =
constexpr auto out_m0_m1_m2_n_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -152,15 +144,15 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{}));
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0>{};
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r2<
float ave_time = driver_gemm_xdlops_v2r2<
BlockSize,
TInWei,
TAcc,
......@@ -195,22 +187,22 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
Sequence<2, 3, 0, 1>,
2,
GemmCThreadTransferDstScalarPerVector,
decltype(wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(out_m0_m1_m2_n_grid_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks)>(
decltype(wei_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(out_m0_m1_m2_n_grid_step_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks)>(
static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(in_n_hi_wi_c_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_ho_wo_k_device_buf.GetDeviceBuffer()),
wei_gemmk0_gemmm_gemmk1_grid_desc,
in_gemmk0_gemmn_gemmk1_grid_desc,
out_gemmm_gemmn_grid_desc,
wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
out_m0_m1_m2_n_grid_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_step_hacks,
out_m0_m1_m2_n_grid_step_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......@@ -218,9 +210,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r2_xdlops_nhwc_kyxc_nh
const auto K = out_n_ho_wo_k_lengths[I3];
const auto C = wei_k_y_x_c_lengths[I3];
const auto Hi = in_n_hi_wi_c_lengths[I1];
const auto Wi = in_n_hi_wi_c_lengths[I2];
const auto Ho = out_n_ho_wo_k_lengths[I1];
const auto Wo = out_n_ho_wo_k_lengths[I2];
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r2_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_xdlops_v2r3.hpp"
#include "driver_gemm_xdlops_v2r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nhwk(
void device_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -49,12 +49,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 1
// [M, N, K0, K1] = [256, 128, 4, 4] for fp32
......@@ -185,12 +182,12 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
const auto out_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks = make_tuple(
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}),
make_tuple(
Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}));
constexpr auto in_gemmk0_gemmn_gemmk1_grid_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}),
......@@ -198,7 +195,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{}));
constexpr auto out_m0_m1_m2_n_grid_iterator_hacks =
constexpr auto out_m0_m1_m2_n_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 1, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -216,15 +213,15 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 2, 0, 0>{}));
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0>{};
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r3<
float ave_time = driver_gemm_xdlops_v2r3<
BlockSize,
TInWei,
TAcc,
......@@ -259,11 +256,11 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
Sequence<2, 3, 0, 1, 7, 5, 4, 6>,
6,
GemmCThreadTransferDstScalarPerVector,
decltype(wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(out_m0_m1_m2_n_grid_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(out_m0_m1_m2_n_grid_step_hacks),
decltype(wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks),
false // CAccessOrderMRepeatNRepeat
>(static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(in_n_hi_wi_c_device_buf.GetDeviceBuffer()),
......@@ -271,11 +268,11 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r3_xdlops_nhwc_kyxc_nh
wei_gemmk0_gemmm_gemmk1_grid_desc,
in_gemmk0_gemmn_gemmk1_grid_desc,
out_gemmm_gemmn_grid_desc,
wei_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
out_m0_m1_m2_n_grid_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmm_gemmk1_grid_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_step_hacks,
out_m0_m1_m2_n_grid_step_hacks,
wei_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
in_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk.hpp
View file @ 31b40352
......@@ -2,7 +2,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v4r4r4_nhwc_kyxc_nhwk.hpp"
#include "driver_dynamic_gemm_xdlops_v2r3.hpp"
#include "driver_gemm_xdlops_v2r3.hpp"
template <typename TInWei,
typename TAcc,
......@@ -14,7 +14,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk(
void device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nhwk(
const InLengths& in_n_hi_wi_c_lengths,
const WeiLengths& wei_k_y_x_c_lengths,
const OutLengths& out_n_ho_wo_k_lengths,
......@@ -35,11 +35,6 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
constexpr auto I4 = Number<4>{};
constexpr auto I5 = Number<5>{};
constexpr auto I6 = Number<6>{};
constexpr auto I7 = Number<7>{};
constexpr auto I8 = Number<8>{};
DeviceMem in_n_hi_wi_c_device_buf(sizeof(TInWei) * in_n_hi_wi_c.mDesc.GetElementSpace());
DeviceMem wei_k_y_x_c_device_buf(sizeof(TInWei) * wei_k_y_x_c.mDesc.GetElementSpace());
......@@ -49,12 +44,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
wei_k_y_x_c_device_buf.ToDevice(wei_k_y_x_c.mData.data());
out_n_ho_wo_k_device_buf.ToDevice(out_n_ho_wo_k.mData.data());
const auto in_n_hi_wi_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_ho_wo_k_lengths);
const auto in_n_hi_wi_c_desc = make_naive_tensor_descriptor_packed(in_n_hi_wi_c_lengths);
const auto wei_k_y_x_c_desc = make_naive_tensor_descriptor_packed(wei_k_y_x_c_lengths);
const auto out_n_ho_wo_k_desc = make_naive_tensor_descriptor_packed(out_n_ho_wo_k_lengths);
#if 0
// [M, N, K0, K1] = [256, 128, 4, 4] for fp32
......@@ -241,7 +233,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
const auto out_gemmm_gemmn_grid_desc = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto in_gemmk0_gemmm_gemmk1_grid_iterator_hacks =
constexpr auto in_gemmk0_gemmm_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}, // 0+: GemmK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{}, // 1+: GemmM
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{}), // 2+: GemmK1
......@@ -249,7 +241,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0>{}, // 1-: GemmM
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0>{})); // 2-: GemmK1
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks =
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{}, // 0+: GemmK0
Sequence<0, 0, 0, 0, 0>{}, // 1+: GemmN
Sequence<0, 0, 0, 0, 0>{}), // 2+: GemmK1
......@@ -257,7 +249,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0>{}, // 1-: GemmN
Sequence<0, 0, 0, 0, 0>{})); // 2-: GemmK1
constexpr auto out_m0_m1_m2_n_grid_iterator_hacks =
constexpr auto out_m0_m1_m2_n_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{}, // 0+: MRepeat
Sequence<0, 0, 0, 0, 0>{}, // 1+: NRepeat
Sequence<0, 0, 0, 0, 0>{}, // 2+: MWaves
......@@ -275,15 +267,15 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
Sequence<0, 0, 0, 0, 0>{}, // 6-: M2
Sequence<0, 0, 0, 0, 0>{})); // 7-: N1
constexpr auto in_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto in_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0>{};
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks =
constexpr auto wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_gemm_xdlops_v2r3<
float ave_time = driver_gemm_xdlops_v2r3<
BlockSize,
TInWei,
TAcc,
......@@ -319,11 +311,11 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
Sequence<2, 3, 0, 1, 7, 5, 4, 6>,
7,
GemmCThreadTransferDstScalarPerVector,
decltype(in_gemmk0_gemmm_gemmk1_grid_iterator_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks),
decltype(out_m0_m1_m2_n_grid_iterator_hacks),
decltype(in_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks),
decltype(in_gemmk0_gemmm_gemmk1_grid_step_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_step_hacks),
decltype(out_m0_m1_m2_n_grid_step_hacks),
decltype(in_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks),
decltype(wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks),
false // CAccessOrderMRepeatNRepeat
>(static_cast<TInWei*>(in_n_hi_wi_c_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(wei_k_y_x_c_device_buf.GetDeviceBuffer()),
......@@ -331,11 +323,11 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
in_gemmk0_gemmm_gemmk1_grid_desc,
wei_gemmk0_gemmn_gemmk1_grid_desc,
out_gemmm_gemmn_grid_desc,
in_gemmk0_gemmm_gemmk1_grid_iterator_hacks,
wei_gemmk0_gemmn_gemmk1_grid_iterator_hacks,
out_m0_m1_m2_n_grid_iterator_hacks,
in_gemmk0_gemmm_gemmk1_grid_move_slice_window_iterator_hacks,
wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_iterator_hacks,
in_gemmk0_gemmm_gemmk1_grid_step_hacks,
wei_gemmk0_gemmn_gemmk1_grid_step_hacks,
out_m0_m1_m2_n_grid_step_hacks,
in_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks,
wei_gemmk0_gemmn_gemmk1_grid_move_slice_window_step_hacks,
nrepeat);
{
......@@ -343,16 +335,13 @@ void device_dynamic_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwc_kyxc_nh
const auto K = out_n_ho_wo_k_lengths[I3];
const auto C = wei_k_y_x_c_lengths[I3];
const auto Hi = in_n_hi_wi_c_lengths[I1];
const auto Wi = in_n_hi_wi_c_lengths[I2];
const auto Ho = out_n_ho_wo_k_lengths[I1];
const auto Wo = out_n_ho_wo_k_lengths[I2];
const auto Y = wei_k_y_x_c_lengths[I1];
const auto X = wei_k_y_x_c_lengths[I2];
float perf = (float)(std::size_t(2) * N * K * Ho * Wo * C * Y * X) /
float perf = static_cast<float>((std::size_t(2) * N * K * Ho * Wo * C * Y * X)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
#include <unistd.h>
#include "device.hpp"
#include "host_tensor.hpp"
#include "driver_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp"
#include "driver_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw_outpad.hpp"
#include "driver_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp"
#include "driver_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw_outpad.hpp"
template <typename TInWei,
ck::index_t InWeiVectorSize,
......@@ -15,7 +15,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw(
void device_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw(
const InLengths& in_n_c_hi_wi_lengths,
const WeiLengths& wei_k_c_y_x_lengths,
const OutLengths& out_n_k_ho_wo_lengths,
......@@ -26,7 +26,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw(
const Tensor<TInWei>& in_n_c_hi_wi,
const Tensor<TInWei>& wei_k_c_y_x,
Tensor<TOut>& out_n_k_ho_wo,
ck::index_t nrepeat)
ck::index_t /* nrepeat */)
{
using namespace ck;
......@@ -85,12 +85,10 @@ void device_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw(
in_n_c0_hi_wi_c1_device_buf.ToDevice(in_n_c0_hi_wi_c1.mData.data());
wei_k_c0_y_x_c1_device_buf.ToDevice(wei_k_c0_y_x_c1.mData.data());
const auto in_n_c0_hi_wi_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, C0, Hi, Wi));
const auto wei_k_c0_y_x_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C0, Y, X));
const auto in_n_c0_hi_wi_desc = make_naive_tensor_descriptor_packed(make_tuple(N, C0, Hi, Wi));
const auto wei_k_c0_y_x_desc = make_naive_tensor_descriptor_packed(make_tuple(K, C0, Y, X));
const auto out_n_k0_ho_wo_k1_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K0, Ho, Wo, K1));
make_naive_tensor_descriptor_packed(make_tuple(N, K0, Ho, Wo, K1));
#if 1
// cdata = 64, BlockSize = 64, 16x8x32x4
......
host/driver_offline/include/device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/device_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
......@@ -3,7 +3,7 @@
#include "device.hpp"
#include "host_tensor.hpp"
#include "transform_forward_convolution_into_gemm_v6r1_nchw_kcyx_nkhw.hpp"
#include "driver_dynamic_contraction_dlops_v1r2.hpp"
#include "driver_contraction_dlops_v1r2.hpp"
template <typename TInWei,
typename TAcc,
......@@ -15,7 +15,7 @@ template <typename TInWei,
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
void device_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
const InLengths& in_n_c_hi_wi_lengths,
const WeiLengths& wei_k_c_y_x_lengths,
const OutLengths& out_n_k_ho_wo_lengths,
......@@ -44,12 +44,9 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
wei_k_c_y_x_device_buf.ToDevice(wei_k_c_y_x.mData.data());
out_n_k_ho_wo_device_buf.ToDevice(out_n_k_ho_wo.mData.data());
const auto in_desc_n_c_hi_wi =
make_dynamic_naive_tensor_descriptor_packed_v2(in_n_c_hi_wi_lengths);
const auto wei_desc_k_c_y_x =
make_dynamic_naive_tensor_descriptor_packed_v2(wei_k_c_y_x_lengths);
const auto out_desc_n_k_ho_wo =
make_dynamic_naive_tensor_descriptor_packed_v2(out_n_k_ho_wo_lengths);
const auto in_desc_n_c_hi_wi = make_naive_tensor_descriptor_packed(in_n_c_hi_wi_lengths);
const auto wei_desc_k_c_y_x = make_naive_tensor_descriptor_packed(wei_k_c_y_x_lengths);
const auto out_desc_n_k_ho_wo = make_naive_tensor_descriptor_packed(out_n_k_ho_wo_lengths);
#if 1
// [8, 1, 128, 1] * [8, 4, 32, 1] = [1, 128, 4, 32] for fp32
......@@ -133,7 +130,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
const auto out_grid_desc_gm0_gm1_gn0_gn1 = descs[I2];
// HACK: hacks that control index calculation when iterating over A, B, C matrix
constexpr auto wei_grid_iterator_hacks =
constexpr auto wei_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 1+: GM0
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 2+: GM10
......@@ -145,7 +142,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 0, 0, 0, 0, 0>{}, // 3-: GM11
Sequence<0, 0, 0, 0, 0, 0, 0>{})); // 4-: GK1
constexpr auto in_grid_iterator_hacks = make_tuple(
constexpr auto in_grid_step_hacks = make_tuple(
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GK0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 1+: GN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0>{}, // 2+: GN10
......@@ -157,7 +154,7 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0>{}, // 3-: GN11
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 4-: GK1
constexpr auto out_grid_iterator_hacks = make_tuple(
constexpr auto out_grid_step_hacks = make_tuple(
make_tuple(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: GM10
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0>{}, // 1+: BM0
......@@ -173,14 +170,14 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{}, // 4-: BN0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0>{})); // 5-: GN1
constexpr auto wei_grid_move_slice_window_iterator_hacks = Sequence<0, 0, 0, 0, 0, 0, 0>{};
constexpr auto wei_grid_move_slice_window_step_hacks = Sequence<0, 0, 0, 0, 0, 0, 0>{};
constexpr auto in_grid_move_slice_window_iterator_hacks =
constexpr auto in_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0>{};
for(index_t i = 0; i < 5; ++i)
{
float ave_time = driver_dynamic_contraction_dlops_v1r2<
float ave_time = driver_contraction_dlops_v1r2<
BlockSize,
TInWei,
TAcc,
......@@ -214,26 +211,26 @@ void device_dynamic_convolution_forward_implicit_gemm_v6r1_dlops_nchw_kcyx_nkhw(
Sequence<3, 4, 5, 0, 1, 2>, // CThreadTransferSrcDstAccessOrder
5, // CThreadTransferSrcDstVectorDim
CThreadTransferDstScalarPerVector_BN1,
decltype(wei_grid_iterator_hacks),
decltype(in_grid_iterator_hacks),
decltype(out_grid_iterator_hacks),
decltype(wei_grid_move_slice_window_iterator_hacks),
decltype(in_grid_move_slice_window_iterator_hacks)>(
decltype(wei_grid_step_hacks),
decltype(in_grid_step_hacks),
decltype(out_grid_step_hacks),
decltype(wei_grid_move_slice_window_step_hacks),
decltype(in_grid_move_slice_window_step_hacks)>(
static_cast<TInWei*>(wei_k_c_y_x_device_buf.GetDeviceBuffer()),
static_cast<TInWei*>(in_n_c_hi_wi_device_buf.GetDeviceBuffer()),
static_cast<TOut*>(out_n_k_ho_wo_device_buf.GetDeviceBuffer()),
wei_grid_desc_gk0_gm0_gm1_gk1,
in_grid_desc_gk0_gn0_gn1_gk1,
out_grid_desc_gm0_gm1_gn0_gn1,
wei_grid_iterator_hacks,
in_grid_iterator_hacks,
out_grid_iterator_hacks,
wei_grid_move_slice_window_iterator_hacks,
in_grid_move_slice_window_iterator_hacks,
wei_grid_step_hacks,
in_grid_step_hacks,
out_grid_step_hacks,
wei_grid_move_slice_window_step_hacks,
in_grid_move_slice_window_step_hacks,
nrepeat);
float perf = (float)calculate_convolution_flops(
in_desc_n_c_hi_wi, wei_desc_k_c_y_x, out_desc_n_k_ho_wo) /
float perf = static_cast<float>(calculate_convolution_flops(
in_desc_n_c_hi_wi, wei_desc_k_c_y_x, out_desc_n_k_ho_wo)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s" << std::endl;
......
host/driver_offline/include/driver_dynamic_contraction_dlops_v1r2.hpp → host/driver_offline/include/driver_contraction_dlops_v1r2.hpp
View file @ 31b40352
#ifndef DRIVER_DYNAMIC_CONTRACTION_DLOPS_V1R2_HPP
#define DRIVER_DYNAMIC_CONTRACTION_DLOPS_V1R2_HPP
#ifndef DRIVER_CONTRACTION_DLOPS_V1R2_HPP
#define DRIVER_CONTRACTION_DLOPS_V1R2_HPP
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_contraction_dlops_v1r2.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_contraction_dlops_v1r2.hpp"
template <ck::index_t BlockSize,
typename FloatAB,
......@@ -39,24 +39,24 @@ template <ck::index_t BlockSize,
typename CThreadTransferSrcDstAccessOrder,
ck::index_t CThreadTransferSrcDstVectorDim,
ck::index_t CThreadTransferDstScalarPerVector,
typename AGridIteratorHacks,
typename BGridIteratorHacks,
typename CGridIteratorHacks,
typename AGridMoveSliceWindowIteratorHacks,
typename BGridMoveSliceWindowIteratorHacks>
typename AGridStepHacks,
typename BGridStepHacks,
typename CGridStepHacks,
typename AGridMoveSliceWindowStepHacks,
typename BGridMoveSliceWindowStepHacks>
__host__ float
driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
const FloatAB* p_b_grid,
FloatC* p_c_grid,
const AGridDesc_GK0_GM0_GM1_GK1& a_grid_desc_gk0_gm0_gm1_gk1,
const BGridDesc_GK0_GN0_GN1_GK1& b_grid_desc_gk0_gn0_gn1_gk1,
const CGridDesc_GM0_GM1_GN0_GN1& c_grid_desc_gm0_gm1_gn0_gn1,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks,
ck::index_t nrepeat)
driver_contraction_dlops_v1r2(const FloatAB* p_a_grid,
const FloatAB* p_b_grid,
FloatC* p_c_grid,
const AGridDesc_GK0_GM0_GM1_GK1& a_grid_desc_gk0_gm0_gm1_gk1,
const BGridDesc_GK0_GN0_GN1_GK1& b_grid_desc_gk0_gn0_gn1_gk1,
const CGridDesc_GM0_GM1_GN0_GN1& c_grid_desc_gm0_gm1_gn0_gn1,
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks,
ck::index_t nrepeat)
{
using namespace ck;
......@@ -70,7 +70,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
// GEMM
using GridwiseContraction =
GridwiseDynamicContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
GridwiseContractionDlops_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_GM0_GM1_GN0_GN1<
BlockSize,
FloatAB,
FloatAcc,
......@@ -104,11 +104,11 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AGridIteratorHacks,
BGridIteratorHacks,
CGridIteratorHacks,
AGridMoveSliceWindowIteratorHacks,
BGridMoveSliceWindowIteratorHacks>;
AGridStepHacks,
BGridStepHacks,
CGridStepHacks,
AGridMoveSliceWindowStepHacks,
BGridMoveSliceWindowStepHacks>;
const auto GK0 = a_grid_desc_gk0_gm0_gm1_gk1.GetLength(I0);
......@@ -116,7 +116,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
a_grid_desc_gk0_gm0_gm1_gk1, b_grid_desc_gk0_gn0_gn1_gk1, c_grid_desc_gm0_gm1_gn0_gn1))
{
throw std::runtime_error("wrong! "
"GridwiseDynamicContraction_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_"
"GridwiseContraction_A_GK0_GM0_GM1_GK1_B_GK0_GN0_GN1_GK1_C_"
"GM0_GM1_GN0_GN1 has invalid setting");
}
......@@ -178,7 +178,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
if(has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel = kernel_dynamic_contraction_dlops_v1r2<
const auto kernel = kernel_contraction_dlops_v1r2<
GridwiseContraction,
FloatAB,
FloatC,
......@@ -194,7 +194,6 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
dim3(grid_size),
dim3(BlockSize),
0,
0,
p_a_grid,
p_b_grid,
p_c_grid,
......@@ -205,7 +204,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
}
else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
{
const auto kernel = kernel_dynamic_contraction_dlops_v1r2<
const auto kernel = kernel_contraction_dlops_v1r2<
GridwiseContraction,
FloatAB,
FloatC,
......@@ -221,7 +220,6 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
dim3(grid_size),
dim3(BlockSize),
0,
0,
p_a_grid,
p_b_grid,
p_c_grid,
......@@ -232,7 +230,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
}
else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
{
const auto kernel = kernel_dynamic_contraction_dlops_v1r2<
const auto kernel = kernel_contraction_dlops_v1r2<
GridwiseContraction,
FloatAB,
FloatC,
......@@ -248,7 +246,6 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
dim3(grid_size),
dim3(BlockSize),
0,
0,
p_a_grid,
p_b_grid,
p_c_grid,
......@@ -259,7 +256,7 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
}
else
{
const auto kernel = kernel_dynamic_contraction_dlops_v1r2<
const auto kernel = kernel_contraction_dlops_v1r2<
GridwiseContraction,
FloatAB,
FloatC,
......@@ -275,7 +272,6 @@ driver_dynamic_contraction_dlops_v1r2(const FloatAB* p_a_grid,
dim3(grid_size),
dim3(BlockSize),
0,
0,
p_a_grid,
p_b_grid,
p_c_grid,
......
host/driver_offline/include/driver_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp → host/driver_offline/include/driver_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw.hpp
View file @ 31b40352
#ifndef DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_NCHW_KCYX_NKHW_HPP
#define DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_NCHW_KCYX_NKHW_HPP
#ifndef DRIVER_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_NCHW_KCYX_NKHW_HPP
#define DRIVER_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_NCHW_KCYX_NKHW_HPP
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_gemm_dlops_v2.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_gemm_dlops_v2.hpp"
#include "gridwise_operation_wrapper.hpp"
template <ck::index_t BlockSize,
......@@ -34,9 +34,9 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
__host__ void Run(const ck::DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
const ck::DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
const ck::DynamicTensorDescriptor<Out...>& out_n_k0_ho_wo_k1_global_desc,
__host__ void Run(const ck::TensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
const ck::TensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
const ck::TensorDescriptor<Out...>& out_n_k0_ho_wo_k1_global_desc,
const ConvStrides& conv_strides,
const ConvDilations& conv_dilations,
const InLeftPads& in_left_pads,
......@@ -82,14 +82,14 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
const auto InRightPadW = in_right_pads[I1];
// weight tensor
const auto wei_e_k_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
const auto wei_e_k_global_desc = transform_tensor_descriptor(
make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<1>{}, Sequence<0>{}));
// input tensor
const auto in_n_c_hip_wip_global_desc = transform_dynamic_tensor_descriptor(
const auto in_n_c_hip_wip_global_desc = transform_tensor_descriptor(
in_n_c_hi_wi_global_desc,
make_tuple(make_pass_through_transform(N),
make_pass_through_transform(C),
......@@ -98,7 +98,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor(
const auto in_n_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
in_n_c_hip_wip_global_desc,
make_tuple(
make_pass_through_transform(N),
......@@ -108,7 +108,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
const auto in_e_n_ho_wo_global_desc = transform_dynamic_tensor_descriptor(
const auto in_e_n_ho_wo_global_desc = transform_tensor_descriptor(
in_n_c_y_ho_x_wo_global_desc,
make_tuple(make_merge_transform(make_tuple(C, Y, X)),
make_pass_through_transform(N),
......@@ -118,8 +118,8 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
// output tensor
const auto out_k_n_ho_wo_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K0, Ho, Wo, K1)),
const auto out_k_n_ho_wo_global_desc = transform_tensor_descriptor(
make_naive_tensor_descriptor_packed(make_tuple(N, K0, Ho, Wo, K1)),
make_tuple(make_merge_transform(make_tuple(K0, K1)),
make_pass_through_transform(N),
make_pass_through_transform(Ho),
......@@ -136,13 +136,13 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
}
// hack to control index calculation when iterating over a_k_m_global tensor
constexpr auto a_e_k_global_iterator_hacks =
constexpr auto a_e_k_global_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}));
constexpr auto a_e_k_global_move_slice_window_iterator_hack = Sequence<0, 0, 0>{};
constexpr auto a_e_k_global_move_slice_window_step_hack = Sequence<0, 0, 0>{};
constexpr auto b_e_n_ho_wo_global_iterator_hacks =
constexpr auto b_e_n_ho_wo_global_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
......@@ -152,12 +152,12 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}));
constexpr auto b_e_n_ho_wo_global_move_slice_window_iterator_hack =
constexpr auto b_e_n_ho_wo_global_move_slice_window_step_hack =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{};
// hack to control index calculation when iterating over c_m0_m1_n0_n1_global tensor
// hack for NKHW format
constexpr auto c_k_n_ho_wo_global_tensor_iterator_hacks =
constexpr auto c_k_n_ho_wo_global_tensor_step_hacks =
make_tuple(make_tuple(Sequence<0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -169,7 +169,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
#if 1
// GEMM
using gridwise_gemm = GridwiseDynamicGemmDlops_km_kn_mn_v3<
using gridwise_gemm = GridwiseGemmDlops_km_kn_mn_v3<
BlockSize,
FloatAB,
FloatAcc,
......@@ -202,11 +202,11 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
Sequence<0, 2, 3, 1>,
0,
CThreadTransferDstScalarPerVector_W,
decltype(a_e_k_global_iterator_hacks),
decltype(b_e_n_ho_wo_global_iterator_hacks),
decltype(c_k_n_ho_wo_global_tensor_iterator_hacks),
decltype(a_e_k_global_move_slice_window_iterator_hack),
decltype(b_e_n_ho_wo_global_move_slice_window_iterator_hack)>;
decltype(a_e_k_global_step_hacks),
decltype(b_e_n_ho_wo_global_step_hacks),
decltype(c_k_n_ho_wo_global_tensor_step_hacks),
decltype(a_e_k_global_move_slice_window_step_hack),
decltype(b_e_n_ho_wo_global_move_slice_window_step_hack)>;
const auto GridSize = (K / KPerBlock) * (Ho / HoPerBlock) * (Wo / WoPerBlock) * N;
......@@ -244,7 +244,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -270,7 +269,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -296,7 +294,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -322,7 +319,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -338,10 +334,11 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_pad
float ave_time = timer.GetElapsedTime() / nrepeat;
float perf = (float)calculate_convolution_flops(in_n_c_hi_wi_global_desc,
wei_k_c_y_x_global_desc,
out_n_k0_ho_wo_k1_global_desc) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
float perf =
static_cast<float>(calculate_convolution_flops(in_n_c_hi_wi_global_desc,
wei_k_c_y_x_global_desc,
out_n_k0_ho_wo_k1_global_desc)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
<< std::endl;
......
host/driver_offline/include/driver_dynamic_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw_outpad.hpp → host/driver_offline/include/driver_convolution_forward_implicit_gemm_v5r1_dlops_nchw_kcyx_nkhw_outpad.hpp
View file @ 31b40352
#ifndef DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_DLOPS_NCHW_KCYX_NKHW_OUTPAD_HPP
#define DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_DLOPS_NCHW_KCYX_NKHW_OUTPAD_HPP
#ifndef DRIVER_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_DLOPS_NCHW_KCYX_NKHW_OUTPAD_HPP
#define DRIVER_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V5R1_DLOPS_NCHW_KCYX_NKHW_OUTPAD_HPP
#include "common_header.hpp"
#include "dynamic_tensor_descriptor.hpp"
#include "dynamic_tensor_descriptor_helper.hpp"
#include "gridwise_dynamic_gemm_dlops_v2.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "gridwise_gemm_dlops_v2.hpp"
#include "gridwise_operation_wrapper.hpp"
template <ck::index_t BlockSize,
......@@ -34,9 +34,9 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
typename ConvDilations,
typename InLeftPads,
typename InRightPads>
__host__ void Run(const ck::DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
const ck::DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
const ck::DynamicTensorDescriptor<Out...>& out_n_k0_ho_wo_k1_global_desc,
__host__ void Run(const ck::TensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
const ck::TensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
const ck::TensorDescriptor<Out...>& out_n_k0_ho_wo_k1_global_desc,
const ConvStrides& conv_strides,
const ConvDilations& conv_dilations,
const InLeftPads& in_left_pads,
......@@ -93,14 +93,14 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
<< std::endl;
// weight tensor
const auto wei_e_k_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
const auto wei_e_k_global_desc = transform_tensor_descriptor(
make_naive_tensor_descriptor_packed(make_tuple(K, C * Y * X)),
make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<1>{}, Sequence<0>{}));
// input tensor
const auto in_n_c_hip_wip_global_desc = transform_dynamic_tensor_descriptor(
const auto in_n_c_hip_wip_global_desc = transform_tensor_descriptor(
in_n_c_hi_wi_global_desc,
make_tuple(make_pass_through_transform(N),
make_pass_through_transform(C),
......@@ -109,7 +109,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor(
const auto in_n_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
in_n_c_hip_wip_global_desc,
make_tuple(
make_pass_through_transform(N),
......@@ -119,7 +119,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
const auto in_e_n_ho_wo_global_desc = transform_dynamic_tensor_descriptor(
const auto in_e_n_ho_wo_global_desc = transform_tensor_descriptor(
in_n_c_y_ho_x_wo_global_desc,
make_tuple(make_merge_transform(make_tuple(C, Y, X)),
make_pass_through_transform(N),
......@@ -129,8 +129,8 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
// output tensor
const auto out_k_n_hop_wop_global_desc = transform_dynamic_tensor_descriptor(
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K0, Ho, Wo, K1)),
const auto out_k_n_hop_wop_global_desc = transform_tensor_descriptor(
make_naive_tensor_descriptor_packed(make_tuple(N, K0, Ho, Wo, K1)),
make_tuple(make_merge_transform(make_tuple(K0, K1)),
make_pass_through_transform(N),
make_pad_transform(Ho, 0, OutRightPadH),
......@@ -149,13 +149,13 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
}
// hack to control index calculation when iterating over a_k_m_global tensor
constexpr auto a_e_k_global_iterator_hacks =
constexpr auto a_e_k_global_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}),
make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}));
constexpr auto a_e_k_global_move_slice_window_iterator_hack = Sequence<0, 0, 0>{};
constexpr auto a_e_k_global_move_slice_window_step_hack = Sequence<0, 0, 0>{};
constexpr auto b_e_n_ho_wo_global_iterator_hacks =
constexpr auto b_e_n_ho_wo_global_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
......@@ -165,12 +165,12 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}));
constexpr auto b_e_n_ho_wo_global_move_slice_window_iterator_hack =
constexpr auto b_e_n_ho_wo_global_move_slice_window_step_hack =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0>{};
// hack to control index calculation when iterating over c_m0_m1_n0_n1_global tensor
// hack for NKHW format
constexpr auto c_k_n_ho_wo_global_tensor_iterator_hacks =
constexpr auto c_k_n_ho_wo_global_tensor_step_hacks =
make_tuple(make_tuple(Sequence<0, 1, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
Sequence<0, 0, 0, 0, 0>{},
......@@ -181,7 +181,7 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
Sequence<0, 0, 0, 0, 0>{}));
// GEMM
using gridwise_gemm = GridwiseDynamicGemmDlops_km_kn_mn_v3<
using gridwise_gemm = GridwiseGemmDlops_km_kn_mn_v3<
BlockSize,
FloatAB,
FloatAcc,
......@@ -214,11 +214,11 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
Sequence<0, 2, 3, 1>,
0,
CThreadTransferDstScalarPerVector_W,
decltype(a_e_k_global_iterator_hacks),
decltype(b_e_n_ho_wo_global_iterator_hacks),
decltype(c_k_n_ho_wo_global_tensor_iterator_hacks),
decltype(a_e_k_global_move_slice_window_iterator_hack),
decltype(b_e_n_ho_wo_global_move_slice_window_iterator_hack)>;
decltype(a_e_k_global_step_hacks),
decltype(b_e_n_ho_wo_global_step_hacks),
decltype(c_k_n_ho_wo_global_tensor_step_hacks),
decltype(a_e_k_global_move_slice_window_step_hack),
decltype(b_e_n_ho_wo_global_move_slice_window_step_hack)>;
const auto GridSize = (K / KPerBlock) * (Hop / HoPerBlock) * (Wop / WoPerBlock) * N;
......@@ -257,7 +257,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -284,7 +283,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -311,7 +309,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -338,7 +335,6 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
dim3(GridSize),
dim3(BlockSize),
0,
0,
wei_e_k_global_desc,
p_wei_global,
in_e_n_ho_wo_global_desc,
......@@ -354,10 +350,11 @@ struct DriverDynamicConvolutionForwardImplicitGemmDlops_v5r1_nchw_kcyx_nkhw_outp
float ave_time = timer.GetElapsedTime() / nrepeat;
float perf = (float)calculate_convolution_flops(in_n_c_hi_wi_global_desc,
wei_k_c_y_x_global_desc,
out_n_k0_ho_wo_k1_global_desc) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
float perf =
static_cast<float>(calculate_convolution_flops(in_n_c_hi_wi_global_desc,
wei_k_c_y_x_global_desc,
out_n_k0_ho_wo_k1_global_desc)) /
(std::size_t(1000) * 1000 * 1000) / ave_time;
std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s"
<< std::endl;
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment