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124 lines
4.6 KiB
124 lines
4.6 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 "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/reader.h"
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#include "paddle/fluid/operators/detail/safe_ref.h"
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#include "paddle/fluid/platform/profiler.h"
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namespace paddle {
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namespace operators {
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class ReadInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Reader"),
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"The ReadOp must take a reader as input.");
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PADDLE_ENFORCE(ctx->HasOutputs("Out"),
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"The ReadOp should be assigned with output.");
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std::vector<framework::DDim> reader_dims = ctx->GetReaderDims("Reader");
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std::vector<std::string> out_names = ctx->Outputs("Out");
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PADDLE_ENFORCE_EQ(
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reader_dims.size(), out_names.size(),
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"The reader's dim number doesn't match the output number.");
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ctx->SetOutputsDim("Out", reader_dims);
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}
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};
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class ReadInferVarType : public framework::VarTypeInference {
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public:
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void operator()(const framework::OpDesc& op_desc,
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framework::BlockDesc* block) const override {
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std::string reader_name = op_desc.Input("Reader")[0];
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std::vector<std::string> out_names = op_desc.Output("Out");
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framework::VarDesc* reader = block->FindVarRecursive(reader_name);
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auto dtypes = reader->GetDataTypes();
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PADDLE_ENFORCE_EQ(dtypes.size(), out_names.size());
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for (size_t i = 0; i < dtypes.size(); ++i) {
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framework::VarDesc& out = block->FindRecursiveOrCreateVar(out_names[i]);
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out.SetType(framework::proto::VarType::LOD_TENSOR);
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out.SetDataType(dtypes[i]);
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}
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}
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};
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class ReadOp : public framework::OperatorBase {
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public:
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using framework::OperatorBase::OperatorBase;
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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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framework::ReaderHolder* reader =
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detail::Ref(scope.FindVar(Input("Reader")),
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"Cannot find reader variable %s", Input("Reader"))
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.GetMutable<framework::ReaderHolder>();
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std::vector<std::string> out_arg_names = Outputs("Out");
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std::vector<framework::LoDTensor> ins;
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// For profiling
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platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
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auto& ctx = *pool.Get(dev_place);
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platform::RecordEvent record_event(Type(), &ctx);
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reader->ReadNext(&ins);
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if (ins.empty()) {
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if (Attr<bool>("throw_eof_exp")) {
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PADDLE_THROW_EOF();
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} else {
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ins.resize(out_arg_names.size());
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for (auto& tensor : ins) {
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// data type is not important for subsequent DataBalanceOpHandle
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tensor.mutable_data<float>(framework::make_ddim({0}), dev_place);
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}
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}
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}
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PADDLE_ENFORCE_EQ(ins.size(), out_arg_names.size());
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for (size_t i = 0; i < out_arg_names.size(); ++i) {
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auto* out =
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scope.FindVar(out_arg_names[i])->GetMutable<framework::LoDTensor>();
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out->ShareDataWith(ins[i]);
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out->set_lod(ins[i].lod());
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}
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}
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};
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class ReadOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Reader", "(ReaderHolder) The executed reader.");
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AddOutput("Out", "(LoDTensor) The output data.").AsDuplicable();
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AddAttr<bool>(
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"throw_eof_exp",
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"If set true, an exception will be thrown when the Reader "
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"yields empty (which means there is no next data).\n"
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"NOTES: This flag must be true always. It will be set to false"
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" only when the data-balance is enabled in ParallelExecutor"
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" and it is set by ParallelExecutor instance, not users.")
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.SetDefault(true);
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AddComment(R"DOC(
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Read Operator
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Execute a given reader once and output data.
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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_OPERATOR(read, ops::ReadOp, ops::ReadInferShape, ops::ReadOpMaker,
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paddle::framework::EmptyGradOpMaker, ops::ReadInferVarType);
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