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paddlepaddle--paddle/paddle/fluid/imperative/layer.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include <algorithm>
#include <cstdint>
#include <list>
#include <map>
#include <memory>
#include <set>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
#include "paddle/common/macros.h"
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/type_defs.h"
#include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/framework/variable.h"
#include "paddle/fluid/imperative/flags.h"
#include "paddle/fluid/imperative/hooks.h"
#include "paddle/fluid/imperative/saved_variable_wrapper_list.h"
#include "paddle/fluid/imperative/type_defs.h"
#include "paddle/fluid/imperative/variable_wrapper.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/utils/test_macros.h"
namespace paddle {
namespace framework {
class Variable;
} // namespace framework
} // namespace paddle
namespace paddle {
namespace imperative {
class GradOpNode;
class OpBase;
class VariableWrapper;
#ifdef _WIN32
PADDLE_API void TestSetForwardDataTypeOfGradVarsEager(
const NameVarMap<egr::EagerVariable>& outs);
PADDLE_API std::string LayerDebugString(const std::string& op_type,
const NameVarMap<VarBase>& ins,
const NameVarMap<VarBase>& outs);
PADDLE_API std::string LayerDebugString(
const std::string& op_type,
const NameVarMap<VariableWrapper>& ins,
const NameVarMap<VariableWrapper>& outs);
PADDLE_API std::string LayerDebugString(
const std::string& op_type,
const NameVarMap<egr::EagerVariable>& ins,
const NameVarMap<egr::EagerVariable>& outs);
#endif
class TEST_API ThreadSafeNameSet {
public:
void Insert(const std::string& name);
void Remove(const std::string& name);
std::vector<std::string> Names() const;
private:
std::multiset<std::string> set_;
mutable std::mutex mtx_;
};
class VarBase {
DISABLE_COPY_AND_ASSIGN(VarBase);
public:
static std::vector<std::string> AliveVarNames();
public:
explicit VarBase(bool has_grad, const std::string& name)
: var_(std::make_shared<VariableWrapper>(name)),
grad_var_(has_grad ? new VarBase(false, GradVarName()) : nullptr) {
if (has_grad) {
var_->SetGradVar(grad_var_->var_);
}
if (IsDebugEnabled()) {
VLOG(10) << "Construct VarBase: " << Name();
name_set_.Insert(Name());
}
}
explicit VarBase(const std::string& name) : VarBase(true, name) {}
// NOTE(zengjinle): be careful when you use this constructor!!!
// Unpack VarBase from VariableWrapper.
explicit VarBase(const std::shared_ptr<VariableWrapper>& var);
~VarBase() {
VLOG(10) << "Destruct VarBase: " << Name();
if (IsDebugEnabled()) {
name_set_.Remove(Name());
}
}
const std::shared_ptr<VariableWrapper>& SharedVar() const { return var_; }
const framework::Variable& Var() const { return var_->Var(); }
framework::Variable* MutableVar() { return var_->MutableVar(); }
bool HasGradVar() const { return grad_var_ != nullptr; }
const std::shared_ptr<VarBase>& GradVarBase() const { return grad_var_; }
void ClearGradVarBase() { grad_var_ = nullptr; }
void SetGradVarBase(const VarBase& grad_var) {
MutableGradVarBase()->CopyFrom(grad_var, true);
MutableGradVarBase()->SharedVar()->SetIsEmpty(false);
}
const std::shared_ptr<VarBase>& MutableGradVarBase() {
if (grad_var_ == nullptr) {
if (auto grad_var_wrapper = var_->GetGradVar()) {
grad_var_ = std::make_shared<VarBase>(grad_var_wrapper);
} else {
grad_var_ = std::make_shared<VarBase>(false, GradVarName());
var_->SetGradVar(grad_var_->var_);
grad_var_->var_->SetGradNode(grad_var_->grad_node_);
}
// NOTE(zhiqiu): we should keep grad_var_'s stop_gradient property
// same as fwd varbase
grad_var_->SetOverriddenStopGradient(var_->InnerOverriddenStopGradient());
}
return grad_var_;
}
const framework::Variable& GradVar() const {
PADDLE_ENFORCE_NOT_NULL(
grad_var_,
common::errors::NotFound("Gradient of %s does not exist", Name()));
return grad_var_->Var();
}
framework::Variable* MutableGradVar() {
PADDLE_ENFORCE_NOT_NULL(
grad_var_,
common::errors::NotFound("Gradient of %s does not exist", Name()));
return grad_var_->MutableVar();
}
bool IsLeaf() const { return var_->IsLeaf(); }
void SetOverriddenStopGradient(bool stop_gradient) {
var_->SetOverriddenStopGradient(stop_gradient);
if (grad_var_) {
grad_var_->SetOverriddenStopGradient(stop_gradient);
}
}
bool OverriddenStopGradient() const { return var_->OverriddenStopGradient(); }
void InnerSetOverriddenStopGradient(bool stop_gradient) {
if (InnerOverriddenStopGradient() == -1) {
var_->InnerSetOverriddenStopGradient(stop_gradient);
if (grad_var_) {
grad_var_->InnerSetOverriddenStopGradient(stop_gradient);
}
}
}
int InnerOverriddenStopGradient() const {
return var_->InnerOverriddenStopGradient();
}
void SetPersistable(bool persistable) { var_->SetPersistable(persistable); }
bool Persistable() const { return var_->Persistable(); }
// Only grad var is allowed to call these 2 methods
void SetGradNode(const std::shared_ptr<GradOpNode>& node) {
grad_node_ = node;
var_->SetGradNode(node);
}
PADDLE_API size_t GradOpNum() const;
const std::shared_ptr<GradOpNode>& GradNode() const { return grad_node_; }
void ClearGradNode() { SetGradNode(nullptr); }
const std::string& Name() const { return var_->Name(); }
void SetName(const std::string& name) {
var_->SetName(name);
if (grad_var_) {
grad_var_->SetName(GradVarName());
}
}
std::string GradVarName() { return framework::GradVarName(Name()); }
void SetGraphIsFreed(bool free) { graph_is_free_ = free; }
const bool& GraphIsFreed() const { return graph_is_free_; }
void SetType(framework::proto::VarType::Type type) { var_->SetType(type); }
framework::proto::VarType::Type Type() const { return var_->Type(); }
void SetDataType(framework::proto::VarType::Type data_type) {
var_->SetDataType(data_type);
if (grad_var_) {
grad_var_->SetDataType(data_type);
}
}
framework::proto::VarType::Type DataType() const { return var_->DataType(); }
void SetDataLayout(phi::DataLayout data_layout) {
var_->SetDataLayout(data_layout);
}
phi::DataLayout DataLayout() const { return var_->DataLayout(); }
size_t ElementSize() const { return framework::SizeOfType(var_->DataType()); }
void SetForwardDataType(framework::proto::VarType::Type data_type) {
var_->SetForwardDataType(data_type);
}
framework::proto::VarType::Type ForwardDataType() const {
return var_->ForwardDataType();
}
const phi::Place Place() const { return var_->Place(); }
void ClearGradient(bool set_to_zero = true);
void _GradientSetEmpty(bool is_empty = true);
bool _IsGradientSetEmpty();
PADDLE_API std::shared_ptr<VarBase> NewVarBase(const phi::Place& dst_place,
const bool blocking) const;
PADDLE_API void CopyFrom(const imperative::VarBase& src, bool blocking);
PADDLE_API void BumpInplaceVersion();
PADDLE_API void _CopyGradientFrom(const imperative::VarBase& src);
/* Hook related method: now only used for GradVarBase */
bool HasVariableWrapperHook() const { return var_->HasVariableWrapperHook(); }
int64_t AddVariableWrapperHook(std::shared_ptr<VariableWrapperHook>&& hook) {
return var_->AddVariableWrapperHook(
std::forward<std::shared_ptr<VariableWrapperHook>>(hook));
}
bool RemoveVariableWrapperHook(const int64_t& hook_id) {
return var_->RemoveVariableWrapperHook(hook_id);
}
const std::map<int64_t, std::shared_ptr<VariableWrapperHook>>&
GetVariableWrapperHooks() const {
return var_->GetVariableWrapperHooks();
}
void AddVoidHook(std::shared_ptr<std::function<void()>>&& hook) {
var_->AddVoidHook(
std::forward<std::shared_ptr<std::function<void()>>>(hook));
}
private:
/**
* NOTE(zengjinle): never remove the const qualifier of `var_` if you are
* not very familiar with the autograd idea (including the higher order
* derivative).
*/
const std::shared_ptr<VariableWrapper> var_;
std::shared_ptr<VarBase> grad_var_;
/**
* NOTE(zengjinle): should consider whether to implement an inlined vector
* or other things like that.
*/
std::shared_ptr<GradOpNode> grad_node_;
bool graph_is_free_ = false;
mutable size_t copied_counter_ = 0;
TEST_API static ThreadSafeNameSet name_set_;
};
PADDLE_API std::shared_ptr<GradOpNode> CreateGradOpNode(
const framework::OperatorBase& op,
const NameVarBaseMap& ins,
const NameVarBaseMap& outs,
const framework::AttributeMap& attrs,
const framework::AttributeMap& default_attrs,
const phi::Place& place,
const std::map<std::string, std::string>& inplace_map);
PADDLE_API std::shared_ptr<GradOpNode> CreateGradOpNode(
const framework::OperatorBase& op,
const NameTensorMap& ins,
const NameTensorMap& outs,
const framework::AttributeMap& attrs,
const framework::AttributeMap& default_attrs,
const phi::Place& place,
const std::map<std::string, std::string>& inplace_map);
PADDLE_API void ClearNoNeedBufferInputs(OpBase* op);
} // namespace imperative
} // namespace paddle