154 lines
4.2 KiB
C++
154 lines
4.2 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#ifndef LIBND4J_VARIABLE_H
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#define LIBND4J_VARIABLE_H
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#include <string>
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#include <array/NDArray.h>
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#include <array/NDArrayList.h>
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#include <graph/VariableType.h>
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#include <graph/generated/array_generated.h>
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#include <graph/generated/node_generated.h>
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#include <graph/generated/graph_generated.h>
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#ifndef __JAVACPP_HACK__
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namespace std {
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template <>
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class ND4J_EXPORT hash<std::pair<int, int>> {
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public:
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size_t operator()(const std::pair<int,int>& k) const;
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};
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template <>
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class ND4J_EXPORT hash<bfloat16> {
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public:
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size_t operator()(const bfloat16& k) const;
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};
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template <>
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class ND4J_EXPORT hash<float16> {
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public:
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size_t operator()(const float16& k) const;
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};
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};
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#endif
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namespace sd {
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namespace graph {
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class ND4J_EXPORT Variable {
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protected:
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int _id = 0;
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int _index = 0;
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sd::NDArray *_ndarray = nullptr;
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std::string _name;
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std::vector<Nd4jLong> _shape;
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bool _external = false;
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bool _readOnly = false;
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bool _placeholder = false;
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bool _removable = true;
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// for now we're setting default to numeric
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// in future we'll be fetching it right from the array,
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//InputType _variableType = InputType_UNDEFINED;
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//DataType _dataType = INHERIT;
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sd::NDArrayList *_list = nullptr;
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VariableType _variableType = VariableType::NDARRAY;
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public:
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Variable(bool placeHolder);
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Variable(sd::NDArray *arrayw, const char *name, int id, int idx = 0);
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Variable(sd::NDArray *array = nullptr, const char *name = nullptr);
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#ifndef __JAVACPP_HACK__
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Variable(const sd::graph::FlatVariable *flatVariable);
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#endif
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~Variable();
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Variable* clone();
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template <typename N>
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ND4J_EXPORT Variable* asT();
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bool hasNDArray();
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sd::NDArray* getNDArray();
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void setNDArray(sd::NDArray *array);
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bool hasNDArrayList();
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sd::NDArrayList* getNDArrayList();
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void setNDArrayList(sd::NDArrayList* list);
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bool isExternal();
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bool isReadOnly();
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bool isEmpty();
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bool isRemovable();
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bool isPlaceholder();
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VariableType variableType();
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void setVariableType(VariableType variableType);
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/**
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* This method returns InputType of this variable
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*/
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//InputType variableType() {
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// return _variableType;
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//}
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void markExternal(bool reallyExternal);
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void markReadOnly(bool reallyReadOnly);
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void markRemovable(bool reallyRemovable);
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int id();
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int index();
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void setIndex(int index);
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void setId(int id);
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void setId(int id, int idx);
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std::string *getName();
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void setName(std::string *name);
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std::vector<Nd4jLong>& shape();
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#ifndef __JAVACPP_HACK__
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/**
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* This method returns offset to this Variable in FlatBuffer
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* @param builder
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* @return
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*/
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flatbuffers::Offset<FlatVariable> asFlatVariable(flatbuffers::FlatBufferBuilder &builder);
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#endif
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};
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}
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}
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#endif //LIBND4J_VARIABLE_H
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