// SPDX-License-Identifier: MIT // Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved. #include #include #include #include #include #include #include "ck/ck.hpp" #include "ck/tensor_operation/gpu/device/tensor_layout.hpp" #include "ck/tensor_operation/gpu/device/gemm_specialization.hpp" #include "ck/tensor_operation/gpu/device/device_gemm.hpp" #include "ck/tensor_operation/gpu/element/element_wise_operation.hpp" #include "ck/library/utility/check_err.hpp" #include "ck/library/host_tensor/device_memory.hpp" #include "ck/library/host_tensor/host_tensor.hpp" #include "ck/library/host_tensor/host_tensor_generator.hpp" #include "ck/library/reference_tensor_operation/cpu/reference_gemm.hpp" #include "test/gemm/gemm_util.hpp" using PassThrough = ck::tensor_operation::element_wise::PassThrough; using DeviceGemmNoOpPtr = ck::tensor_operation::device::DeviceGemmPtr; namespace ck { namespace tensor_operation { namespace device { namespace device_gemm_instance { void add_device_gemm_xdl_f64_f64_f64_km_kn_mn_instances(std::vector&); void add_device_gemm_xdl_f64_f64_f64_km_nk_mn_instances(std::vector&); void add_device_gemm_xdl_f64_f64_f64_mk_nk_mn_instances(std::vector&); void add_device_gemm_xdl_f64_f64_f64_mk_kn_mn_instances(std::vector&); } // namespace device_gemm_instance } // namespace device } // namespace tensor_operation } // namespace ck inline std::string get_device_name() { hipDeviceProp_t props{}; int device; auto status = hipGetDevice(&device); if(status != hipSuccess) { return std::string(); } status = hipGetDeviceProperties(&props, device); if(status != hipSuccess) { return std::string(); } const std::string name(props.gcnArchName); return name; } int main() { if(get_device_name().find("gfx90a") == std::string::npos) { std::cout << "TestGemm ..... SUCCESS" << std::endl; return 0; } using ADataType = double; using BDataType = double; using CDataType = double; using AccDataType = double; using RowMajor = ck::tensor_layout::gemm::RowMajor; using ColumnMajor = ck::tensor_layout::gemm::ColumnMajor; bool res = true; std::vector gemmPtrs; ck::tensor_operation::device::device_gemm_instance:: add_device_gemm_xdl_f64_f64_f64_km_kn_mn_instances(gemmPtrs); for(auto& gemmPtr : gemmPtrs) { res &= ck::gemm_util::TestGemm{}(gemmPtr); } gemmPtrs.clear(); ck::tensor_operation::device::device_gemm_instance:: add_device_gemm_xdl_f64_f64_f64_km_nk_mn_instances(gemmPtrs); for(auto& gemmPtr : gemmPtrs) { res &= ck::gemm_util::TestGemm{}(gemmPtr); } gemmPtrs.clear(); ck::tensor_operation::device::device_gemm_instance:: add_device_gemm_xdl_f64_f64_f64_mk_kn_mn_instances(gemmPtrs); for(auto& gemmPtr : gemmPtrs) { res &= ck::gemm_util::TestGemm{}(gemmPtr); } gemmPtrs.clear(); ck::tensor_operation::device::device_gemm_instance:: add_device_gemm_xdl_f64_f64_f64_mk_nk_mn_instances(gemmPtrs); for(auto& gemmPtr : gemmPtrs) { res &= ck::gemm_util::TestGemm{}(gemmPtr); } std::cout << "TestGemm ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; return res ? 0 : 1; }