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98 lines
3.8 KiB
98 lines
3.8 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "paddle/fluid/operators/reader/lod_tensor_blocking_queue.h"
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using LoDTensor = paddle::framework::LoDTensor;
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using LoDTensorBlockingQueueHolder =
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paddle::operators::reader::LoDTensorBlockingQueueHolder;
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namespace paddle {
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namespace operators {
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class DequeueOp : public framework::OperatorBase {
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public:
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using framework::OperatorBase::OperatorBase;
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DequeueOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(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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const std::string& queue_name = Attr<std::string>("queue_name");
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auto* queue_holder_var = scope.FindVar(queue_name);
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PADDLE_ENFORCE_NOT_NULL(
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queue_holder_var,
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platform::errors::NotFound(
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"No LoDTensorBlockingQueueHolder variable with name %s found.",
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queue_name));
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auto* queue_holder =
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queue_holder_var->template GetMutable<LoDTensorBlockingQueueHolder>();
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auto& out_names = Outputs("Out");
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PADDLE_ENFORCE_GT(out_names.size(), 0,
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platform::errors::InvalidArgument(
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"The output for Op(dequeue) must be set."));
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for (size_t i = 0; i < out_names.size(); ++i) {
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auto out_var = scope.FindVar(out_names[i]);
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PADDLE_ENFORCE_NOT_NULL(
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out_var, platform::errors::NotFound("No variable with name %s found",
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out_names[i]));
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auto* out_tensor = out_var->GetMutable<LoDTensor>();
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PADDLE_ENFORCE_NOT_NULL(
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out_tensor,
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platform::errors::InvalidArgument(
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"Variable with name %s has not been initialized.", out_names[i]));
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std::vector<LoDTensor> lod_tensor_vec;
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bool success = false;
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lod_tensor_vec = queue_holder->GetQueue()->Pop(&success);
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PADDLE_ENFORCE_EQ(lod_tensor_vec.size(), 1,
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platform::errors::InvalidArgument(
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"Expected to pop only one element per Pop call for "
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"Op(dequeue), but poped %d element.",
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lod_tensor_vec.size()));
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for (size_t j = 0; j < lod_tensor_vec.size(); ++j) {
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TensorCopySync(lod_tensor_vec[j], dev_place, out_tensor);
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}
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}
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}
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};
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class DequeueOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddAttr<std::string>("queue_name",
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"Name of the `LoDTensorBlockingQueueHolder` variable");
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AddOutput("Out", "A list of `lod_tensor` to dequeue and assigned.")
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.AsDuplicable();
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AddComment(R"DOC(
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Dequeue operator.
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)DOC");
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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_OP_WITHOUT_GRADIENT(dequeue, ops::DequeueOp, ops::DequeueOpMaker);
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