244 lines
8.2 KiB
C++
244 lines
8.2 KiB
C++
/*******************************************************************************
|
|
* Copyright (c) 2015-2018 Skymind, Inc.
|
|
*
|
|
* This program and the accompanying materials are made available under the
|
|
* terms of the Apache License, Version 2.0 which is available at
|
|
* https://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.
|
|
*
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
******************************************************************************/
|
|
|
|
//
|
|
// @author raver119@gmail.com
|
|
//
|
|
|
|
#ifndef LIBND4J_GNODE_H
|
|
#define LIBND4J_GNODE_H
|
|
|
|
#include <atomic>
|
|
#include <system/pointercast.h>
|
|
#include <string>
|
|
#include <array/NDArray.h>
|
|
#include "Context.h"
|
|
#include <ops/declarable/DeclarableOp.h>
|
|
#include <graph/generated/node_generated.h>
|
|
|
|
|
|
namespace sd {
|
|
namespace graph {
|
|
|
|
|
|
class Graph;
|
|
|
|
class ND4J_EXPORT Node {
|
|
protected:
|
|
// TODO: this field must be removed
|
|
sd::DataType _dataType;
|
|
|
|
OpType _opType;
|
|
ContextPrototype* _protoContext = nullptr;
|
|
Nd4jLong _opNum;
|
|
int _id;
|
|
std::vector<std::pair<int, int>> _input;
|
|
std::vector<std::pair<int, int>> _output;
|
|
std::vector<int> _dimensions;
|
|
|
|
std::vector<int> _referencedBy;
|
|
|
|
int * _dim = nullptr;
|
|
std::string _name;
|
|
|
|
|
|
// this variable points to onion layer within graph
|
|
int _layer = -1;
|
|
|
|
// many ops require extra parameters to run
|
|
double *_extraParams = nullptr;
|
|
|
|
|
|
// optional scalar. used in scalar ops and in summary stats
|
|
// TODO: this field must be removed
|
|
NDArray _scalar;
|
|
|
|
bool _hasExternalOutputs;
|
|
bool _hasExternalInputs;
|
|
bool _hasInternalOutputs;
|
|
bool _hasInternalInputs;
|
|
|
|
// this field is used to check, if op should be used in-place (so it can/will modify its inputs)
|
|
bool _isInplace = false;
|
|
|
|
// this field is used to delete attached customOp
|
|
bool _isDeductable = false;
|
|
|
|
OpClass _opClass;
|
|
|
|
// these fields are used to store embedded CustomOps and Graph in case of Graph-in-Graph scenario
|
|
sd::graph::Graph * _graph= nullptr;
|
|
sd::ops::DeclarableOp *_customOp = nullptr;
|
|
|
|
// each node can be active or inactive, if used with divergents, like IF statements
|
|
bool _active = true;
|
|
|
|
// these fields contain information about Scope these ops are related to
|
|
int _scope_id = 0;
|
|
std::string _scope_name;
|
|
|
|
// TODO: these 3 fields should be removed
|
|
int _rewindNode = -1;
|
|
std::pair<int, int> _rewindLayer = {-1, -1};
|
|
Nd4jLong _frameId = -1;
|
|
|
|
public:
|
|
explicit Node(sd::ops::DeclarableOp *customOp, int id = 0, std::initializer_list<int> input = {}, std::initializer_list<int> output = {}, std::initializer_list<int> dimensions = {}, float scalar = 0.0f, std::initializer_list<double> tArgs = {}, std::initializer_list<int> iArgs = {});
|
|
explicit Node(OpType opType = OpType_TRANSFORM_SAME, int opNum = 0, int id = 0, std::initializer_list<int> input = {}, std::initializer_list<int> output = {}, std::initializer_list<int> dimensions = {}, float scalar = 0.0f, std::initializer_list<double> tArgs = {}, std::initializer_list<int> iArgs = {});
|
|
explicit Node(const sd::graph::FlatNode *node);
|
|
~Node();
|
|
|
|
bool equals(Node *other);
|
|
|
|
sd::DataType dataType();
|
|
ContextPrototype *protoContext();
|
|
OpType opType();
|
|
Nd4jLong opNum();
|
|
int id();
|
|
std::vector<std::pair<int,int>> *input();
|
|
std::vector<std::pair<int, int>> *output();
|
|
|
|
Nd4jLong getFrameId();
|
|
void setFrameId(Nd4jLong frameId);
|
|
|
|
int getRewindNode();
|
|
void setRewindNode(int nodeId);
|
|
|
|
std::pair<int, int>& getRewindLayer();
|
|
void setRewindLayer(int layerId, int stepId = 0);
|
|
|
|
void setId(int id);
|
|
|
|
double *extraParams();
|
|
|
|
bool isMultiInput();
|
|
bool isMultiOutput();
|
|
|
|
int getLayer();
|
|
void setLayer(int layer);
|
|
|
|
bool isDivergencePoint();
|
|
void setActive(bool reallyActive);
|
|
bool isActive();
|
|
|
|
bool hasExternalOutputs();
|
|
bool hasExternalInputs();
|
|
bool hasInternalOutputs();
|
|
bool hasInternalInputs();
|
|
|
|
double scalar();
|
|
|
|
std::vector<int> * getDimensions();
|
|
int * getDimensionsPtr();
|
|
|
|
|
|
void pickOutputOnce(int outputId);
|
|
void pickOutput(int outputId);
|
|
void pickOutput(int nodeId, int outputId);
|
|
void pickExternalOutput(int outputId);
|
|
void pickInput(int inputId);
|
|
void pickInput(int nodeId, int outputId);
|
|
void pickInput(std::pair<int,int>& id);
|
|
|
|
bool isDeductable();
|
|
void setDeductable(bool reallyDeductable);
|
|
|
|
void setName(std::string *name);
|
|
void setName(const std::string& name);
|
|
std::string * getName();
|
|
std::string * name();
|
|
|
|
int totalReferences();
|
|
void addReference(int nodeId);
|
|
|
|
void setContextPrototype(ContextPrototype *block);
|
|
ContextPrototype* getContextPrototype();
|
|
bool hasBlockAttached();
|
|
|
|
void setCustomOp(sd::ops::DeclarableOp *customOp = nullptr);
|
|
sd::ops::DeclarableOp* getCustomOp();
|
|
bool hasCustomOp();
|
|
|
|
void setGraph(sd::graph::Graph* graph = nullptr);
|
|
sd::graph::Graph* getGraph();
|
|
bool hasGraphEmbedded();
|
|
|
|
bool isInplace();
|
|
void markInplace(bool reallyInplace);
|
|
|
|
|
|
OpClass getOpClass();
|
|
|
|
// these methods are used for internal profiling
|
|
void setOuterTime(Nd4jLong time);
|
|
void setInnerTime(Nd4jLong time);
|
|
|
|
// methods related to scopes
|
|
bool isScoped();
|
|
void setScopeInfo(int id, const char* name = nullptr);
|
|
int scopeId();
|
|
std::string* scopeName();
|
|
|
|
void setOpType(OpType opType);
|
|
|
|
// clone Node
|
|
Node* clone();
|
|
|
|
template <typename T>
|
|
Node* asT();
|
|
|
|
FORCEINLINE void pullValues(Node *other) {
|
|
|
|
if (this->_protoContext != nullptr)
|
|
delete _protoContext;
|
|
|
|
this->_dataType = other->dataType();
|
|
this->_protoContext = other->protoContext()->clone();
|
|
this->_scalar = other->scalar();
|
|
this->_hasExternalInputs = other->hasExternalInputs();
|
|
this->_hasExternalOutputs = other->hasExternalOutputs();
|
|
this->_hasInternalInputs = other->hasInternalInputs();
|
|
this->_hasInternalOutputs = other->hasInternalOutputs();
|
|
|
|
this->markInplace(other->isInplace());
|
|
this->setActive(other->isActive());
|
|
this->setScopeInfo(other->scopeId(), other->scopeName()->c_str());
|
|
this->setLayer(other->getLayer());
|
|
this->setDeductable(other->isDeductable());
|
|
|
|
|
|
if (this->_customOp != nullptr && _isDeductable)
|
|
delete this->_customOp;
|
|
|
|
for (auto v: *other->input())
|
|
this->_input.emplace_back(v);
|
|
|
|
for (auto v: *other->output())
|
|
this->_output.emplace_back(v);
|
|
|
|
for (auto v: *other->getDimensions())
|
|
this->_dimensions.emplace_back(v);
|
|
|
|
}
|
|
|
|
static sd::ops::DeclarableOp* buildOpByType(OpType opType, int numInputs, int numIArgs, int numTArgs, int opNum, NDArray *scalar);
|
|
static void deleteOpByType(OpType opType, void *op);
|
|
};
|
|
}
|
|
}
|
|
|
|
#endif //LIBND4J_GNODE_H
|