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140 lines
5.5 KiB
140 lines
5.5 KiB
/**
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* Copyright 2020 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 "graph/passes/constant_folding_pass.h"
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#include <vector>
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#include "graph/operator_factory.h"
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#include "graph/utils/node_utils.h"
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#include "graph/utils/type_utils.h"
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#include "init/gelib.h"
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namespace ge {
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const int64_t kStartCallNum = 1;
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const std::string kKernelLibName = "aicpu_tf_kernel";
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// tf_kernel.json opsFlag config
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const std::string kOpsFlagClose = "0";
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Status RunOpKernelWithCheck(NodePtr &node,
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const vector<ConstGeTensorPtr> &inputs,
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std::vector<GeTensorPtr> &outputs) {
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std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
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if ((instance_ptr == nullptr) || (!instance_ptr->InitFlag())) {
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GELOGE(GE_CLI_GE_NOT_INITIALIZED, "GE is not initialized or is finalized.");
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return UNSUPPORTED;
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}
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OpsKernelInfoStorePtr kernel_info = instance_ptr->OpsKernelManagerObj().GetOpsKernelInfoStore(kKernelLibName);
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if (kernel_info == nullptr) {
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GELOGE(FAILED, "Get op kernel info store %s failed", kKernelLibName.c_str());
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return UNSUPPORTED;
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}
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std::string ops_flag;
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kernel_info->opsFlagCheck(*node, ops_flag);
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if (ops_flag == kOpsFlagClose) {
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return UNSUPPORTED;
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}
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return FoldingPass::RunOpKernel(node, inputs, outputs);
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}
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const std::unordered_map<std::string, std::pair<std::uint64_t, uint64_t>>
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&ConstantFoldingPass::GetGeConstantFoldingPerfStatistic() const {
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return statistic_of_ge_constant_folding_;
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}
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const std::unordered_map<std::string, std::pair<std::uint64_t, uint64_t>>
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&ConstantFoldingPass::GetOpConstantFoldingPerfStatistic() const {
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return statistic_of_op_constant_folding_;
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}
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Status ConstantFoldingPass::Run(ge::NodePtr &node) {
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GE_CHECK_NOTNULL(node);
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GELOGD("Begin to run constant folding on node %s", node->GetName().c_str());
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if (folding_pass::IsNoNeedConstantFolding(node)) {
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return SUCCESS;
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}
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OpDescPtr node_desc = node->GetOpDesc();
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DataType data_type = node_desc->GetOutputDesc(0).GetDataType();
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Format format = node_desc->GetOutputDesc(0).GetFormat();
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GELOGD("Current [node:%s, type:%s] info: format: %s, datatype:%s", node->GetName().c_str(), node->GetType().c_str(),
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TypeUtils::FormatToSerialString(format).c_str(), TypeUtils::DataTypeToSerialString(data_type).c_str());
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auto input_nodes = OpDescUtils::GetConstInputNode(*node);
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if (input_nodes.empty() || input_nodes.size() != node_desc->GetInputsSize()) {
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GELOGD("Node:%s, const input nodes size is %zu, and nodeDesc inputsSize is %zu.", node->GetName().c_str(),
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input_nodes.size(), node_desc->GetInputsSize());
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return SUCCESS;
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}
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auto inputs = OpDescUtils::GetInputData(input_nodes);
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vector<GeTensorPtr> outputs;
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// Statistic of ge constant folding kernel
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uint64_t start_time = GetCurrentTimestamp();
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auto ret = RunOpKernelWithCheck(node, inputs, outputs);
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if (ret != SUCCESS) {
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auto op_kernel = folding_pass::GetKernelByType(node);
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if (op_kernel == nullptr) {
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GELOGD("No op kernel for node %s type %s, skip the constant folding", node->GetName().c_str(),
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node->GetType().c_str());
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return SUCCESS;
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}
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// Statistic of op and fe constant folding kernel
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start_time = GetCurrentTimestamp();
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ret = op_kernel->Compute(node_desc, inputs, outputs);
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uint64_t cost_time = GetCurrentTimestamp() - start_time;
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if (statistic_of_ge_constant_folding_.find(node->GetType()) != statistic_of_ge_constant_folding_.end()) {
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uint64_t &cnt = statistic_of_ge_constant_folding_[node->GetType()].first;
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uint64_t &cur_cost_time = statistic_of_ge_constant_folding_[node->GetType()].second;
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cnt++;
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cur_cost_time += cost_time;
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} else {
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statistic_of_ge_constant_folding_[node->GetType()] = std::pair<uint64_t, uint64_t>(kStartCallNum, cost_time);
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}
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if (ret != SUCCESS) {
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if (ret == NOT_CHANGED) {
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GELOGD("Node %s type %s, compute terminates and exits the constant folding.", node->GetName().c_str(),
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node->GetType().c_str());
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return SUCCESS;
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}
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GELOGE(INTERNAL_ERROR, "Calculate for node %s failed in constant folding", node->GetName().c_str());
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return ret;
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}
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GELOGI("Node %s type %s, constant folding compute success.", node->GetName().c_str(), node->GetType().c_str());
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} else {
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if (statistic_of_op_constant_folding_.find(node->GetType()) != statistic_of_op_constant_folding_.end()) {
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uint64_t &cnt = statistic_of_op_constant_folding_[node->GetType()].first;
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uint64_t &cost_time = statistic_of_op_constant_folding_[node->GetType()].second;
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cnt++;
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cost_time += GetCurrentTimestamp() - start_time;
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} else {
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statistic_of_op_constant_folding_[node->GetType()] =
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std::pair<uint64_t, uint64_t>(kStartCallNum, GetCurrentTimestamp() - start_time);
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}
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}
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if (outputs.empty()) {
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GELOGE(INTERNAL_ERROR,
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"Failed to constant folding on node %s,"
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" no output weight",
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node->GetName().c_str());
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return INTERNAL_ERROR;
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}
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return Folding(node, outputs);
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}
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} // namespace ge
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