chore: import upstream snapshot with attribution
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// 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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#pragma once
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#include <memory>
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#include <string>
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#include <typeindex>
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#include <typeinfo>
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#include "paddle/fluid/framework/selected_rows_utils.h"
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#include "paddle/fluid/framework/var_type_traits.h"
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namespace paddle {
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namespace framework {
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class Variable {
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public:
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template <typename T>
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const T& Get() const {
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static_assert(
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IsRegisteredVarType<T>(),
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"Not registered type. Please register T inside var_type_traits.h");
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PADDLE_ENFORCE_NOT_NULL(
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holder_, common::errors::NotFound("Variable is not initialized."));
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PADDLE_ENFORCE_EQ(
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holder_->Type(),
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VarTypeTrait<T>::kId,
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common::errors::InvalidArgument(
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"The Variable type must be %s, but the type it holds is %s.",
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ToTypeName(VarTypeTrait<T>::kId),
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ToTypeName(holder_->Type())));
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return *static_cast<const T*>(holder_->Ptr());
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}
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bool IsInitialized() const { return holder_ != nullptr; }
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template <typename T>
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T* GetMutable() {
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if (!holder_) {
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holder_.reset(new PlaceholderImpl<T>());
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} else {
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// If holder_ is RawTensor, call holder_->Ptr() GetMutable again. Used for
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// load_combine.
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if (holder_->Type() == VarTypeTrait<RawTensor>::kId &&
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holder_->Type() != VarTypeTrait<T>::kId) {
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return static_cast<RawTensor*>(holder_->Ptr())->GetMutable<T>();
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}
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PADDLE_ENFORCE_EQ(
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holder_->Type(),
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VarTypeTrait<T>::kId,
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common::errors::InvalidArgument(
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"The Variable type must be %s, but the type it holds is %s.",
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ToTypeName(VarTypeTrait<T>::kId),
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ToTypeName(holder_->Type())));
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}
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return static_cast<T*>(holder_->Ptr());
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}
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template <typename T>
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bool IsType() const {
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return holder_ && holder_->Type() == VarTypeTrait<T>::kId;
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}
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void Clear() { holder_.reset(); }
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int Type() const {
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PADDLE_ENFORCE_NOT_NULL(
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holder_, common::errors::NotFound("Variable is not initialized."));
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return holder_->Type();
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}
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private:
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// This method hides type T, so it doesn't appear as a template parameter of
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// Variable.
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phi::DenseTensor::InplaceVersion* InplaceVersionCounter();
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public:
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void SetInplaceVersionToZero();
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uint32_t CurrentInplaceVersion();
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void BumpInplaceVersion();
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private:
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struct Placeholder {
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virtual ~Placeholder() PADDLE_MAY_THROW {}
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inline int Type() const { return type_; }
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inline const void* Ptr() const { return ptr_; }
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inline void* Ptr() { return ptr_; }
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protected:
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inline void Init(void* p, int type) {
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ptr_ = p;
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type_ = type;
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}
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void* ptr_;
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int type_;
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};
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// Placeholder hides type T, so it doesn't appear as a template
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// parameter of Variable.
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template <typename T>
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struct PlaceholderImpl : public Placeholder {
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static_assert(
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IsRegisteredVarType<T>(),
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"Not registered type. Please register T inside var_type_traits.h");
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PlaceholderImpl() { this->Init(&obj_, VarTypeTrait<T>::kId); }
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private:
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T obj_;
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};
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// pointers to a PlaceholderImpl object indeed.
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std::shared_ptr<Placeholder> holder_;
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};
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inline phi::DenseTensor::InplaceVersion* Variable::InplaceVersionCounter() {
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phi::DenseTensor::InplaceVersion* version_counter_ptr(nullptr);
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if (IsType<DenseTensor>()) {
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version_counter_ptr = &GetMutable<DenseTensor>()->InplaceVersionCounter();
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} else if (IsType<DenseTensor>()) {
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version_counter_ptr = &GetMutable<DenseTensor>()->InplaceVersionCounter();
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} else if (IsType<phi::SelectedRows>()) {
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version_counter_ptr = &GetMutable<phi::SelectedRows>()
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->mutable_value()
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->InplaceVersionCounter();
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} else {
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VLOG(4) << "Only supports phi::DenseTensor, phi::DenseTensor, SelectedRows "
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"to have "
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"TensorInplaceVersion, but received type "
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<< common::demangle(framework::ToTypeName(Type()));
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}
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return version_counter_ptr;
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}
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inline void Variable::SetInplaceVersionToZero() {
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auto inplace_version_counter = this->InplaceVersionCounter();
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if (inplace_version_counter)
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inplace_version_counter->SetInplaceVersionToZero();
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}
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inline uint32_t Variable::CurrentInplaceVersion() {
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auto version_counter_ptr = InplaceVersionCounter();
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if (version_counter_ptr) {
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return version_counter_ptr->CurrentVersion();
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} else {
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return 0;
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}
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}
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inline void Variable::BumpInplaceVersion() {
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auto version_counter_ptr = InplaceVersionCounter();
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if (version_counter_ptr) {
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return version_counter_ptr->Bump();
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} else {
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VLOG(4) << "Only supports phi::DenseTensor, phi::DenseTensor, SelectedRows "
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"to have "
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"TensorInplaceVersion, but received type "
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<< common::demangle(framework::ToTypeName(Type()));
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}
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}
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} // namespace framework
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} // namespace paddle
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