forked from huawei/mindspore2022
107 lines
4.2 KiB
C++
107 lines
4.2 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 "backend/kernel_compiler/kernel_fusion.h"
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#include <map>
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#include <string>
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#include <memory>
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#include "backend/kernel_compiler/tbe/tbe_kernel_build.h"
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#include "backend/kernel_compiler/tbe/tbe_kernel_parallel_build.h"
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#include "backend/kernel_compiler/tbe/tbe_utils.h"
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#include "backend/kernel_compiler/tbe/tbe_convert_utils.h"
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#include "utils/ms_context.h"
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namespace mindspore {
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namespace kernel {
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using mindspore::kernel::tbe::TbeUtils;
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std::map<int32_t, KernelModPtr> KernelFusion(const std::vector<FusionScopeInfo> &fusion_scopes) {
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MS_LOG(INFO) << "kernel fusion build start, scope size:" << fusion_scopes.size();
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std::map<int32_t, KernelModPtr> kernel_mod_ret;
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auto build_manger = std::make_shared<ParallelBuildManager>();
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MS_EXCEPTION_IF_NULL(build_manger);
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for (const auto &fusion_scope_iter : fusion_scopes) {
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string fusion_kernel_name;
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nlohmann::json fusion_op;
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if (!TbeKernelBuild::GenFusionScopeJson(fusion_scope_iter.input_nodes, fusion_scope_iter.compute_nodes, &fusion_op,
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&fusion_kernel_name)) {
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continue;
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}
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// gen kernel_name & check cache
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std::string json_str = fusion_op.dump();
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size_t hash_id = std::hash<std::string>()(json_str);
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auto context_ptr = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(context_ptr);
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auto device_id = context_ptr->device_id();
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auto json_name =
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fusion_kernel_name.append("_").append(std::to_string(hash_id)).append("_").append(std::to_string(device_id));
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fusion_op["fusion_op_name"] = json_name;
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// get io size
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std::vector<size_t> input_size_list;
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std::vector<size_t> output_size_list;
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if (!TbeKernelBuild::GetIOSize(fusion_op["op_list"], fusion_scope_iter.output_nodes, &input_size_list,
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&output_size_list)) {
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continue;
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}
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// search cache
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auto kernel_pack = TbeUtils::SearchCache(json_name, tbe::kProcessorAiCore);
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if (kernel_pack != nullptr) {
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MS_LOG(INFO) << "Use cached kernel, kernel json name: " << json_name;
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auto kernel_mod =
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build_manger->GenKernelMod(json_name, tbe::kProcessorAiCore, input_size_list, output_size_list, kernel_pack);
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if (kernel_mod != nullptr) {
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kernel_mod_ret[fusion_scope_iter.scope_id] = kernel_mod;
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continue;
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}
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}
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// fusion build
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nlohmann::json fusion_json;
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fusion_json["fusion_op"] = fusion_op;
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auto task_id = build_manger->StartCompileOp(fusion_json);
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TbeUtils::SaveJsonInfo(json_name, fusion_json.dump());
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if (task_id < 0) {
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MS_EXCEPTION(ArgumentError) << "start compile failed.";
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}
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build_manger->SaveTaskInfo(task_id, nullptr, json_name, input_size_list, output_size_list,
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fusion_scope_iter.scope_id);
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}
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int build_failed_num = 0;
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while (!build_manger->IsAllTaskFinish()) {
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int task_id = -1;
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std::string task_result;
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std::string pre_build_result;
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auto ret = build_manger->WaitOne(&task_id, &task_result, &pre_build_result);
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if (!ret) {
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MS_EXCEPTION(ArgumentError) << "Build Failed. wait one ret:" << ret << ", task id:" << task_id;
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}
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if (task_result != "Success") {
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MS_LOG(INFO) << "Fusion warning: Fuison op build failed, err log: " << task_result
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<< " change to single op build.";
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build_failed_num++;
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}
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auto kernel_mod_item = build_manger->TaskFinishProcess(task_id, false);
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if (kernel_mod_item.second != nullptr) {
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(void)kernel_mod_ret.emplace(kernel_mod_item);
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}
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}
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MS_LOG(INFO) << "Build Fusion Kernel Failed Num: " << build_failed_num;
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return kernel_mod_ret;
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}
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} // namespace kernel
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} // namespace mindspore
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