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https://github.com/ROCm/composable_kernel.git
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579be5a97b
* Suppress additional warnings for googltest.
* Rename file conv_fwd_util to conv_util.
* Update includes and ConvParams member access.
* Formatting.
* Change conv_fwd_util target to conv_util
* Fix compiler errors.
* Fix leftovers.
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
[ROCm/composable_kernel commit: 712e464c4e]
82 lines
3.3 KiB
C++
82 lines
3.3 KiB
C++
#ifndef TEST_CONV_UTIL_HPP
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#define TEST_CONV_UTIL_HPP
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#include <tuple>
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#include "config.hpp"
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#include "device_convnd_fwd_xdl_nhwc_kyxc_nhwk.hpp"
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#include "element_wise_operation.hpp"
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#include "host_tensor.hpp"
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#include "sequence.hpp"
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namespace test {
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namespace conv {
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template <ck::index_t... Is>
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using S = ck::Sequence<Is...>;
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using InElementOp = ck::tensor_operation::element_wise::PassThrough;
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using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
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using OutElementOp = ck::tensor_operation::element_wise::PassThrough;
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using DeviceConvFwdNoOpPtr =
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ck::tensor_operation::device::DeviceConvFwdPtr<InElementOp, WeiElementOp, OutElementOp>;
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static constexpr auto ConvFwdDefault =
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ck::tensor_operation::device::ConvolutionForwardSpecialization::Default;
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template <ck::index_t SpatialDims, typename InDataType, typename WeiDataType, typename OutDataType>
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using DeviceConvNDFwdInstance = ck::tensor_operation::device::
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DeviceConvNDFwdXdl_Input_N_Hi_Wi_C_Weight_K_Y_X_C_Output_N_Ho_Wo_K<
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// clang-format off
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InDataType, //
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WeiDataType, //
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OutDataType, //
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InDataType, //
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InElementOp, // Input Elementwise Operation
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WeiElementOp, // Weights Elementwise Operation
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OutElementOp, // Output Elementwise Operation
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ConvFwdDefault, // ConvForwardSpecialization
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SpatialDims, // SptialDims
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64, // BlockSize
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16, // MPerBlock
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16, // NPerBlock
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4, // K0PerBlock
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1, // K1
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16, // MPerXDL
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16, // NPerXDL
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1, // MXdlPerWave
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1, // NXdlPerWave
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S<1, 16, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
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S<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
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S<1, 0, 2>, // ABlockTransferSrcAccessOrder
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2, // ABlockTransferSrcVectorDim
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1, // ABlockTransferSrcScalarPerVector
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1, // ABlockTransferDstScalarPerVector_K1
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true, // ABlockLdsAddExtraM
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S<1, 16, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
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S<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
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S<1, 0, 2>, // BBlockTransferSrcAccessOrder
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2, // BBlockTransferSrcVectorDim
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1, // BBlockTransferSrcScalarPerVector
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1, // BBlockTransferDstScalarPerVector_K1
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true, // BBlockTransferAddExtraN
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7, // CThreadTransferSrcDstVectorDim
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1>; // CThreadTransferDstScalarPerVector
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// clang-format on
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template <ck::index_t NDim,
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typename InDataType = float,
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typename WeiDataType = float,
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typename OutDataType = float>
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void get_test_convolution_fwd_instance(std::vector<DeviceConvFwdNoOpPtr>& instances)
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{
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using ConvInstanceT = DeviceConvNDFwdInstance<NDim, InDataType, WeiDataType, OutDataType>;
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instances.emplace_back(std::make_unique<ConvInstanceT>());
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}
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} // namespace conv
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} // namespace test
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#endif
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