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79 lines
3.1 KiB
79 lines
3.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/fluid/operators/controlflow/conditional_block_op.h"
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namespace paddle {
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namespace operators {
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/* We will implement the op with block separately in the future.
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* The main reason is that some of the training requirements
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* in these OPS can lead to problems(such as memory leaks) during inference.
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*/
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class ConditionalBlockInferOp : public ConditionalOp {
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public:
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ConditionalBlockInferOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: ConditionalOp(type, inputs, outputs, attrs) {}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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bool need_run;
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if (Attr<bool>("is_scalar_condition")) {
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// When is_scalar_condition is True, the conditional variable is a scalar,
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// whether need to execute the operators in sub-block depends on the
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// conditional variable (Cond).
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auto xs = InputTensors(scope, "Cond");
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need_run = ScalarCondition(xs);
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} else {
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// When is_scalar_condition is False, the conditional variable maybe a
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// vector or tensor, whether need to execute the operators in sub-block
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// depends on the input variables (Input).
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auto xs = InputTensors(scope, "Input");
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need_run = std::all_of(
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xs.begin(), xs.end(),
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[](const framework::LoDTensor *t) { return t->numel() != 0; });
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}
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if (need_run) {
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auto *scope_var = scope.FindVar(Output("Scope"));
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PADDLE_ENFORCE_NOT_NULL(
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scope_var, platform::errors::PreconditionNotMet(
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"Scope must be set in ConditionalBlockInferOp."));
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auto *scopes = scope_var->GetMutable<std::vector<framework::Scope *>>();
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scopes->resize(1);
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scopes->front() = &scope.NewScope();
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auto &cur_scope = *scopes->front();
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framework::Executor exec(dev_place);
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auto *block = Attr<framework::BlockDesc *>("sub_block");
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exec.Run(*block->Program(), &cur_scope, block->ID(), false);
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scope.DeleteScope(scopes->front());
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(
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conditional_block_infer, ops::ConditionalBlockInferOp,
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ops::ConditionalBlockOpProtoMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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