forked from huawei/mindspore2022
66 lines
2.6 KiB
C++
66 lines
2.6 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "device/gpu/gpu_kernel_build.h"
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#include <string>
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#include "kernel/kernel.h"
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#include "kernel/akg/akgkernelbuild.h"
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#include "kernel/akg/gpu/akg_gpu_kernel_build.h"
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#include "kernel/gpu/gpu_kernel_factory.h"
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#include "operator/ops.h"
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#include "pybind11/stl.h"
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#include "session/anf_runtime_algorithm.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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namespace py = pybind11;
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void GpuBuild(const KernelGraphPtr &kernel_graph) {
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kernel::KernelMeta *bin_map = kernel::KernelMeta::GetInstance();
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if (!bin_map->ReadIndex(kernel::kGpuKernelMeta)) {
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MS_LOG(INFO) << "kernel cache miss, cache directory will be created later.";
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} else {
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MS_LOG(INFO) << "cache initialize to[" << kernel::kGpuKernelMeta << "].";
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}
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MS_EXCEPTION_IF_NULL(kernel_graph);
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auto kernels = kernel_graph->execution_order();
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for (const auto &kernel : kernels) {
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std::string kernel_name = session::AnfRuntimeAlgorithm::GetCNodeName(kernel);
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if (kernel_name == prim::kPrimTupleGetItem->name() || kernel_name == prim::kPrimMakeTuple->name() ||
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kernel_name == prim::kPrimDepend->name() || kernel_name == prim::kPrimStateSetItem->name()) {
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continue;
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}
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if (session::AnfRuntimeAlgorithm::GetKernelType(kernel) == KernelType::AUTO_DIFF_KERNEL) {
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auto gpu_kernel_ptr = kernel::AkgGpuKernelBuild(kernel);
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if (!gpu_kernel_ptr) {
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MS_LOG(EXCEPTION) << "Build akg kernel op[" << kernel_name << "] failed";
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}
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session::AnfRuntimeAlgorithm::SetKernelMod(gpu_kernel_ptr, kernel.get());
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} else {
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auto gpu_kernel_ptr = kernel::GpuKernelFactory::GetInstance().Create(kernel_name, kernel);
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if (!gpu_kernel_ptr) {
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MS_LOG(EXCEPTION) << "Build gpu kernel op[" << kernel_name << "] failed";
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}
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if (!gpu_kernel_ptr->Init(kernel)) {
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MS_LOG(EXCEPTION) << "Initialize gpu kernel op[" << kernel_name << "] failed.";
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}
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session::AnfRuntimeAlgorithm::SetKernelMod((kernel::KernelModPtr)gpu_kernel_ptr, kernel.get());
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}
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}
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}
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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