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Paddle/paddle/fluid/inference/api/details/reset_tensor_array.cc

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2.2 KiB

// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/inference/api/details/reset_tensor_array.h"
namespace paddle {
namespace details {
// Should be called after the parameters are loaded.
void TensorArrayBatchCleaner::CollectTensorArrays(framework::Scope *scope) {
if (flag_) {
for (auto &var_name : scope->LocalVarNames()) {
auto *var = scope->FindVar(var_name);
// TODO(Superjomn) should avoid the case when a TensorArray is a
// parameter.
if (var_name == "feed" || var_name == "fetch") continue;
if (var->IsType<framework::LoDTensorArray>()) {
VLOG(4) << "collect " << var_name;
arrays_.push_back(var->GetMutable<framework::LoDTensorArray>());
}
}
for (auto *kid : scope->kids()) {
CollectTensorArrays(kid);
}
VLOG(3) << "Collect " << arrays_.size() << " arrays";
flag_ = false;
}
}
// Should be called when `Run` finished.
void TensorArrayBatchCleaner::ResetTensorArray() {
for (auto *arr : arrays_) {
arr->clear();
}
}
void TensorArrayBatchCleaner::CollectNoTensorVars(framework::Scope *scope) {
if (no_tensor_flag_) {
for (auto &var_name : scope->LocalVarNames()) {
auto *var = scope->FindVar(var_name);
if (!var->IsInitialized()) continue;
if (!valid_types_.count(var->Type())) {
no_tensor_vars_.insert(var);
}
}
for (auto *kid : scope->kids()) {
CollectTensorArrays(kid);
}
no_tensor_flag_ = false; // Only collect one time.
}
}
void TensorArrayBatchCleaner::ResetNoTensorVars() {
for (auto *var : no_tensor_vars_) {
var->Clear();
}
}
} // namespace details
} // namespace paddle