chore: import upstream snapshot with attribution
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// Copyright (c) 2024 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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#pragma once
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#include <memory>
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#include <unordered_set>
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#include <utility>
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#include <vector>
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#include "paddle/common/ddim.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/framework/framework.pb.h"
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#include "paddle/phi/core/tensor_array.h"
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namespace paddle {
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namespace framework {
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class ReaderBase {
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public:
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explicit ReaderBase(const std::vector<DDim>& shapes,
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const std::vector<proto::VarType::Type>& var_types,
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const std::vector<bool>& need_check_feed)
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: shapes_(shapes),
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var_types_(var_types),
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need_check_feed_(need_check_feed) {
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PADDLE_ENFORCE_EQ(
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shapes_.size(),
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need_check_feed_.size(),
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common::errors::InvalidArgument(
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"Construct ReaderBase with mismatched sizes of shapes "
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"and need_check_feed"));
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PADDLE_ENFORCE_EQ(
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var_types_.size(),
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need_check_feed_.size(),
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common::errors::InvalidArgument(
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"Construct ReaderBase with mismatched sizes of var_types "
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"and need_check_feed"));
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}
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PADDLE_API virtual void ReadNext(phi::TensorArray* out);
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PADDLE_API virtual void Shutdown();
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PADDLE_API virtual void Start();
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// Return the readers which are the end of decorating chain. Basically
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// they are readers just before read op.
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PADDLE_API std::unordered_set<ReaderBase*> GetEndPoints();
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// Returns the shapes of the fed variables
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const std::vector<DDim>& Shapes() const { return shapes_; }
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// Returns the dtypes of the fed variables
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const std::vector<proto::VarType::Type>& VarTypes() const {
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return var_types_;
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}
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// For Backward compatibility, old fluid.layers.data doesn't check shape.
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// This function returns whether you have the check shape for this Reader.
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const std::vector<bool>& NeedCheckFeed() const { return need_check_feed_; }
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PADDLE_API virtual ~ReaderBase();
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protected:
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virtual void ReadNextImpl(phi::TensorArray* out UNUSED) {}
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virtual void ShutdownImpl() {}
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virtual void StartImpl() {}
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enum ReaderStatus { kRunning, kStopped };
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ReaderStatus status_{kRunning};
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mutable std::mutex mu_;
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// The shapes of the fed variables.
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std::vector<DDim> shapes_;
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// The dtypes of the fed variables.
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std::vector<proto::VarType::Type> var_types_;
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// Whether to check the shape and dtype of fed variables.
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std::vector<bool> need_check_feed_;
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private:
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friend class DecoratedReader;
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// These methods can be only invoked inside DecoratedReader to record the
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// decorating chain.
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PADDLE_API void InsertDecoratedReader(
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const std::shared_ptr<ReaderBase>& decorated_reader);
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// A set of which readers that decorated this reader.
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std::vector<std::weak_ptr<ReaderBase>> decorated_readers_;
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};
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class DecoratedReader : public ReaderBase,
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public std::enable_shared_from_this<DecoratedReader> {
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public:
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explicit DecoratedReader(const std::shared_ptr<ReaderBase>& reader)
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: ReaderBase(
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reader->Shapes(), reader->VarTypes(), reader->NeedCheckFeed()),
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reader_(reader) {
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PADDLE_ENFORCE_NOT_NULL(
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reader_,
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common::errors::InvalidArgument(
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"The underlying reader of DecoratedReader should not be null"));
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}
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void RegisterDecorateChain() {
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reader_->InsertDecoratedReader(shared_from_this());
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}
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PADDLE_API ~DecoratedReader();
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const std::shared_ptr<ReaderBase>& UnderlyingReader() const {
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return reader_;
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}
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protected:
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void ShutdownImpl() override { reader_->Shutdown(); }
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void StartImpl() override { reader_->Start(); }
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std::shared_ptr<ReaderBase> reader_;
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};
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// FileReader is just a conceptual class.
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class FileReader : public ReaderBase {
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public:
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explicit FileReader(const std::vector<DDim>& shapes,
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const std::vector<proto::VarType::Type>& var_types,
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const std::vector<bool>& need_check_feed)
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: ReaderBase(shapes, var_types, need_check_feed) {}
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};
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// The ReaderHolder is used as reader' unified wrapper,
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// making it easier to access different type reader in Variables.
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class ReaderHolder {
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public:
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template <typename T>
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void Reset(const std::shared_ptr<T>& reader) {
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auto reader_base = std::dynamic_pointer_cast<ReaderBase>(reader);
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PADDLE_ENFORCE_NOT_NULL(
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reader_base,
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common::errors::InvalidArgument(
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"The underlying reader of ReaderHolder should not be null"));
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reader_ = reader_base;
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}
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~ReaderHolder() {}
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const std::shared_ptr<ReaderBase>& Get() const { return reader_; }
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void ReadNext(phi::TensorArray* out) {
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PADDLE_ENFORCE_NOT_NULL(
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reader_,
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common::errors::InvalidArgument(
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"The underlying reader of ReaderHolder should not be null"));
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reader_->ReadNext(out);
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}
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void ResetAll() {
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auto end_readers = reader_->GetEndPoints();
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for (auto* reader : end_readers) {
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reader->Shutdown();
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}
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for (auto* reader : end_readers) {
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reader->Start();
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}
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}
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void Shutdown() {
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PADDLE_ENFORCE_NOT_NULL(
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reader_,
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common::errors::InvalidArgument(
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"The underlying reader of ReaderHolder should not be null"));
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reader_->Shutdown();
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}
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void Start() {
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PADDLE_ENFORCE_NOT_NULL(
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reader_,
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common::errors::InvalidArgument(
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"The underlying reader of ReaderHolder should not be null"));
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reader_->Start();
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}
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const std::vector<DDim>& Shapes() const { return reader_->Shapes(); }
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const std::vector<proto::VarType::Type>& VarTypes() const {
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return reader_->VarTypes();
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}
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const std::vector<bool>& NeedCheckFeed() const {
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return reader_->NeedCheckFeed();
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}
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void Clear() { reader_.reset(); }
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operator const std::shared_ptr<ReaderBase>&() const { return this->reader_; }
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private:
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std::shared_ptr<ReaderBase> reader_;
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};
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template <typename T, typename... ARGS>
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inline std::shared_ptr<DecoratedReader> MakeDecoratedReader(ARGS&&... args) {
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std::shared_ptr<DecoratedReader> reader(new T(std::forward<ARGS>(args)...));
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reader->RegisterDecorateChain();
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return reader;
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}
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} // namespace framework
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} // namespace paddle
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