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247 lines
10 KiB
247 lines
10 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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namespace paddle {
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namespace operators {
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static std::vector<framework::DDim> RestoreShapes(
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const std::vector<int>& shape_concat, const std::vector<int>& ranks) {
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std::vector<framework::DDim> res;
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int offset = 0;
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for (int len : ranks) {
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auto start_it = shape_concat.begin() + offset;
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auto end_it = start_it + len;
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res.push_back(framework::make_ddim(std::vector<int>(start_it, end_it)));
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offset += len;
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}
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return res;
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}
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// general infershape for file readers
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class CreateFileReaderInferShape : 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->HasOutput("Out"),
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"The output file reader should not be null.");
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const auto shape_concat =
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ctx->Attrs().Get<std::vector<int>>("shape_concat");
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const auto ranks = ctx->Attrs().Get<std::vector<int>>("ranks");
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std::vector<framework::DDim> shapes = RestoreShapes(shape_concat, ranks);
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ctx->SetReaderDims("Out", shapes);
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if (ctx->IsRuntime()) {
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const auto lod_levels = ctx->Attrs().Get<std::vector<int>>("lod_levels");
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PADDLE_ENFORCE_EQ(
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lod_levels.size(), shapes.size(),
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"The number of 'lod_levels'(%d) doesn't match the number "
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"of 'shapes'(%d).",
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lod_levels.size(), shapes.size());
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framework::VarDesc* reader =
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boost::get<framework::VarDesc*>(ctx->GetOutputVarPtrs("Out")[0]);
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reader->SetLoDLevels(lod_levels);
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}
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}
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};
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// general infershape for decorated readers
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class CreateDecoratedReaderInferShape : 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("UnderlyingReader"),
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"Input(UnderlyingReader) should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"The output decorated reader should not be null.");
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ctx->SetReaderDims("Out", ctx->GetReaderDims("UnderlyingReader"));
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if (ctx->IsRuntime()) {
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framework::VarDesc* in_reader = boost::get<framework::VarDesc*>(
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ctx->GetInputVarPtrs("UnderlyingReader")[0]);
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framework::VarDesc* out_reader =
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boost::get<framework::VarDesc*>(ctx->GetOutputVarPtrs("Out")[0]);
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out_reader->SetLoDLevels(in_reader->GetLoDLevels());
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}
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}
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};
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// general var type inference for file readers
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class CreateFileReaderInferVarType : 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.Output("Out")[0];
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framework::VarDesc* reader = block->FindVarRecursive(reader_name);
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reader->SetType(framework::proto::VarType::READER);
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}
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};
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// general var type inference for decorated readers
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class CreateDecoratedReaderInferVarType : 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 in_reader_name = op_desc.Input("UnderlyingReader")[0];
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framework::VarDesc* in_reader = block->FindVarRecursive(in_reader_name);
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std::string out_reader_name = op_desc.Output("Out")[0];
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framework::VarDesc* out_reader = block->FindVarRecursive(out_reader_name);
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out_reader->SetType(framework::proto::VarType::READER);
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out_reader->SetDataTypes(in_reader->GetDataTypes());
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}
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};
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template <typename T>
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class CreateRandomDataGeneratorOp : 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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const auto& shape_concat = Attr<std::vector<int>>("shape_concat");
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const auto& ranks = Attr<std::vector<int>>("ranks");
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PADDLE_ENFORCE(!shape_concat.empty() && !ranks.empty());
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PADDLE_ENFORCE_EQ(std::accumulate(ranks.begin(), ranks.end(), 0),
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int(shape_concat.size()),
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"The accumulate of all ranks should be equal to the "
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"shape concat's length.");
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std::vector<framework::DDim> shapes = RestoreShapes(shape_concat, ranks);
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auto* out = scope.FindVar(Output("Out"))
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->template GetMutable<framework::ReaderHolder>();
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out->Reset(new framework::RandomDataGenerator<T>(shapes, Attr<float>("min"),
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Attr<float>("max")));
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}
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};
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class CreateRandomDataGeneratorOpMaker
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: public framework::OpProtoAndCheckerMaker {
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public:
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CreateRandomDataGeneratorOpMaker(OpProto* op_proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(op_proto, op_checker) {
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AddOutput("Out", "(ReaderHolder) The created random reader.");
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AddAttr<std::vector<int>>("shape_concat",
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"The concat of all data's shapes.");
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AddAttr<std::vector<int>>(
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"ranks",
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"The ranks of each data."
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"e.g."
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"shape_concat = [2,3,4,5,6]"
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"ranks = [3,2]"
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"It means the reader will generate two data each time,"
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"whose shapes are [2,3,4] and [5,6] respectively.");
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AddAttr<std::vector<int>>("lod_levels", "The LoD levels of each data.");
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AddAttr<float>("min", "The lower bound of reader's uniform distribution.");
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AddAttr<float>("max", "The upper bound of reader's uniform distribution.");
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AddComment(R"DOC(
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CreateRandomDataGenerator Operator
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This Op creates a random reader.
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The reader generates random data instead of really reading from files.
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Generated data follow an uniform distribution between 'min' and 'max'.
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)DOC");
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}
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};
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class CreateShuffleReaderOp : 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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const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
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->Get<framework::ReaderHolder>();
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auto* out = scope.FindVar(Output("Out"))
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->template GetMutable<framework::ReaderHolder>();
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out->Reset(new framework::ShuffleReader(underlying_reader.Get(),
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Attr<int>("buffer_size")));
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}
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};
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class CreateShuffleReaderOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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CreateShuffleReaderOpMaker(OpProto* op_proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(op_proto, op_checker) {
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AddInput(
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"UnderlyingReader",
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"(ReaderHolder) The underlying reader for creating a shuffle reader.");
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AddOutput("Out", "(ReaderHolder) The created shuffle reader.");
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AddAttr<int>("buffer_size", "The shuffle buffer size.").GreaterThan(0);
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AddComment(R"DOC(
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CreateShuffleReader Operator
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A shuffle reader takes another reader as its 'underlying reader'
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and yields the underlying reader's outputs in a shuffled order.
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)DOC");
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}
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};
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class CreateBatchReaderOp : 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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const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
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->Get<framework::ReaderHolder>();
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auto* out = scope.FindVar(Output("Out"))
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->template GetMutable<framework::ReaderHolder>();
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out->Reset(new framework::BatchReader(underlying_reader.Get(),
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Attr<int>("batch_size")));
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}
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};
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class CreateBatchReaderOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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CreateBatchReaderOpMaker(OpProto* op_proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(op_proto, op_checker) {
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AddInput(
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"UnderlyingReader",
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"(ReaderHolder) The underlying reader for creating a batch reader.");
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AddOutput("Out", "(ReaderHolder) The created batch reader.");
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AddAttr<int>("batch_size",
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"How many instances the batch reader yields each time.")
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.GreaterThan(0);
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AddComment(R"DOC(
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CreateBatchReader Operator
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A batch reader takes another reader as its 'underlying reader',
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gathers the underlying reader's outputs and then yields them in batches.
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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(create_random_data_generator,
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ops::CreateRandomDataGeneratorOp<float>,
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ops::CreateFileReaderInferShape,
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ops::CreateRandomDataGeneratorOpMaker,
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paddle::framework::EmptyGradOpMaker,
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ops::CreateFileReaderInferVarType);
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REGISTER_OPERATOR(create_shuffle_reader, ops::CreateShuffleReaderOp,
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ops::CreateDecoratedReaderInferShape,
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ops::CreateShuffleReaderOpMaker,
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paddle::framework::EmptyGradOpMaker,
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ops::CreateDecoratedReaderInferVarType);
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REGISTER_OPERATOR(create_batch_reader, ops::CreateBatchReaderOp,
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ops::CreateDecoratedReaderInferShape,
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ops::CreateBatchReaderOpMaker,
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paddle::framework::EmptyGradOpMaker,
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ops::CreateDecoratedReaderInferVarType);
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