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Legacy API changes (#441)
* initial commit

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* another initial commit

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* another initial commit

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* one more initial commit

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* next step

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* next step

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* next step

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* next step

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* Refactored buffer() and shapeInfo() methods usage with NDArray class.

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* Adopt Graph class methods to use const shapes.

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* Adopt choose op to use constant shapes.

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* Adopt where op shape method to use constant shapes.

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* Adopt lstsq op to use constant empty shapes.

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* Adopt matrix_diag_part op shape routine to use constant shapes.

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* Adopt determinant ops to use constant shapes.

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* Adopt mean_pairwssqerr_loss ops to use constant shapes.

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* Adopt ops shape methods.

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* Adopt shape methods for loss ops.

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* Adopt log_loss op shape method.

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* Adopt shape methods for ops.

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* Adopt dilation2d ops shape methods.

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* Adopted deconv2d ops shape methods.

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* Adopted dynamicRNN op shape method.

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* Adopted shape methods for ops.

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* Adopted shape methods for lstm layer ops.

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* few updates

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* first cuda tweak

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* Adopt constant shapes for sconv2d ops.

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* Adopt constant shapes for gru ops.

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* Adopt constant shapes with shape methods for segment ops and so on.

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* Adopted constant shapes with unsorted_segment_* ops.

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* Adopted constant shapes with gamma op shape method.

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* Adopted shape methods of reduce_stddev ops.

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* Adopted shape methods for reduce_* ops.

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* Adopt shape method for squeeze op.

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* Adopt strided_slice shape method.

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* Refactored concat op shape method to adopt constant shapes.

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* Adopted shape method for mirror_pad op.

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* Adopted split op shape method.

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* Adopted tile ops shape methods.

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* Added const cast for mkldnn routines handles.

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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.

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* Cosmetic changes to proper usage of constant pointers.

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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.

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* Refactored depthToSpace helpers.

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* Refactored histogram helpers.

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* Refactored im2col helpers.

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* Refactored gather and gatherND helpers.

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* Fixed buffer usage on percentile helper.

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* Fixed gather shape with helpers and range buffer usage.

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* Fixed buffer usage with space to depth helpers.

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* Fixed buffer usage and constant shapes.

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* Fixed buffer usage with LUP decomposition>

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* Refactored onehot_ helper.

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* Refactored pad and prefix to use constant shapes.

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* Refactoed softmax helpers.

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* Fixed space to batch helpers to use buffers properly.

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* Fixed stack and split helpers.

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* Fixed buffer usage with sparse to dense helpers.

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* Fixed buffer usage with mindistance_ helpers.

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* Fixed buffer usage with tile helper.

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* Fixed constant shape usage.

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* Fixed constant shape usage with legacy pairwise bool ops.

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* Refactored a couple of methods to adopt constant shape usage.

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* Fixed broadcasting with constant shape."

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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.

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* Refactored legacy ops with const shapes.

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* Refactored sort to adopt constant shapes.

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* Corrected sort for constant shape usage.

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* Fixed constant shape usage with special methods.

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* Refactored Context to conform with constant shape usage.

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* CUDA broadcasting headers

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* pairwise/indexreduce/random headers

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* Refactored native ops to adopt constant shapes.

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* legacy reduce3/scalar headers

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* Corrected pullRow signature and tests.

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* Corrected routines to proper use of constant shapes.

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* Refactored tests to use constant shapes properly.

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* Refactored legacy ops tests to use constant shapes properly.

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* Refactored buffer usage with NDArray tests.

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* Fixed native ops tests.

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* Fixed special concat routine.

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* Fixed buffer usage with test.

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* Fixed buffer usage with a test.

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* Refactored TAD.h and tests.

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* Refactored calcStrides* routines to use constant shapes.

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* Fixed miscelaneous errors with constant shapes.

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* NativeOps const changes

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* Corrected definitions for declared functions.

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* NativeOps const changes

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* few more const changes

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* Fixed const shapes with shape routines.

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* few more const changes

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* Fixed shape method for broadcastable case.

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* few more const changes

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* xw_plus_b BP shape fn restored

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* Fixed signatures with broadcasting.

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* Repaired backprops shape methods for a set of operations.

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* Refactored broadcast bool for cuda.

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* Refactored methods for 3 args with const qualifier.

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* Fixed a couple of kernel signatures for broadcasting.

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* Fixed kernels signatures for const buffers and shapes.

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* Refactored pairwise methods to persistent buffers and shapes usage.

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* Adopt const to buffers and shapes with kernels.

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* Adopt const to buffers and shapes with scalar kernels.

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* Refactored indexreduce kernels signatures to use const buffers and shapes.

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* Refactored pairwise kernels to adopt cons shapes and buffers.

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* Refactored pairwise bool kernels to adopt cons shapes and buffers.

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* Refactored random special ops to conform with const shapes and buffers.

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* Refactored native ops to conform with const shapes and buffers under cuda platform.

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* Cosmetical changes only.

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* Fixed const shapes and buffers error.

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* Corrected start pos routine.

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* Refactored methods to conform with const shapes and buffers.

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* Refactored helpers to use proper methods instead.

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* bunch of changes

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* next bunch of changes

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* next bunch of changes

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* Fixed execScalar declaration.

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* Fixed execScalar declaration.

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* Corrected const shape cases with sort and so on.

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* Fixed const shapes for sort.

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* Refactored kernel declarations to adopt const shapes.

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* Fixed kernels declarations to adopt const shapes.

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* Corrected kernel declarations to adopt const shapes and buffers.

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* Fixed kernels declarations to adopt const shapes.

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* Fixed segment helpers kernels declarations and so on to adopt const shapes.

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* Fixed const shape usage with segment and solve helpers.

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* Fixed kernel declaration with adjustWeight helper.

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* Fixed cuda implementations for constant shape helpers.

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* Adopted const shape usage with kernels.

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* Adopted top_k kernels to use const shapes and buffers.

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* Corrected kernels declarations to adopt const shapes with helpers.

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* Refactored NDArray definitions to adopt const shapes and buffers.

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* Fixed const shapes with image suppression helpers.

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* Slight improvement with buffers.

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* Refactored buffer usage.

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* Refactored buffer usage with tests.

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* Fixed const shape usage with definitions.

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* minor updates on cpu side

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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.

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* Refactored tear and tile kernels to adopt with const shapes.

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* softmax_loop fix

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* update missing signature

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* softmax again

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* few more missing consts

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* new methods updated

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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00

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8.7 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019-2020 Konduit K.K.
*
* 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_CONTEXT_H
#define LIBND4J_CONTEXT_H
#include <vector>
#include <array/NDArray.h>
#include <graph/Variable.h>
#include <graph/VariableSpace.h>
#include <graph/ContextPrototype.h>
#include <memory/Workspace.h>
#include <execution/Engine.h>
// CUDA-specific includes
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cuda_runtime.h>
#include <cuda_device_runtime_api.h>
#endif
namespace sd {
namespace graph {
/**
* This class defines input desired for any given node/operation within graph
*/
class ND4J_EXPORT Context : public sd::graph::ContextPrototype {
protected:
sd::memory::Workspace* _workspace = nullptr;
sd::graph::VariableSpace* _variableSpace = nullptr;
std::pair<Nd4jLong, Nd4jLong> _executionTime;
sd::random::RandomBuffer* _rng = nullptr;
sd::DataType _dataType = sd::DataType::FLOAT32;
// branch for divergent_op
int _branch = 0;
// temporary context for standalone ops execution
LaunchContext* _context = nullptr;
std::vector<sd::DataType> _dataTypes;
// fields for fast execution (out-of-graph ops use)
std::vector<NDArray*> _fastpath_in;
std::vector<NDArray*> _fastpath_out;
std::vector<NDArray*> _handles;
bool _helpersAllowed = true;
// in some cases we might be able to skip shape function for validation purposes
bool _shapeFunctionOverride = false;
// special flag used during conversion from Graph exec to FastPath exec
bool _forbidFastPath = false;
public:
Context(ContextPrototype* prototype, VariableSpace* variableSpace);
explicit Context(int nodeId, VariableSpace *variableSpace = nullptr);
Context(int nodeId, VariableSpace *variableSpace, bool isInplace);
// default destructor
~Context();
// these methods are for execution timing
void setOuterTime(Nd4jLong time);
void setInnerTime(Nd4jLong time);
Nd4jLong getOuterTime();
Nd4jLong getInnerTime();
sd::DataType dataType() override;
sd::DataType dataType(int index) override;
void setDataType(int index, sd::DataType type) override;
// these methods are related to Workspace abstraction
bool hasWorkspaceProvided();
void attachWorkspace(sd::memory::Workspace* workspace);
void forgetWorkspace();
// these methods return full-time workspace
sd::memory::Workspace* getWorkspace();
sd::memory::Workspace* workspace();
sd::memory::Workspace* fWorkspace();
// this method returns workspace for temporary allocations
sd::memory::Workspace* tWorkspace();
// this method returns workspace for object allocations
sd::memory::Workspace* oWorkspace();
void setVariableSpace(VariableSpace* variableSpace);
sd::random::RandomBuffer* getRNG();
void setRNG(sd::random::RandomBuffer* rng);
void setTargetEngine(samediff::Engine engine);
VariableSpace *getVariableSpace();
LaunchContext* launchContext();
// these fields define, if we can execute specific node in-place, without generating new array
// these variables are only for Divergent Nodes
int getBranch();
void setBranch(int branch);
/**
*
* @return
*/
Stash* getStash();
/**
*
*/
void trackList(NDArrayList* list);
/**
* This method returns variable for a given input index for this block
* @param idx
* @return
*/
Variable* getVariable(int idx);
Variable* variable(int idx);
/**
* This method is shortcut to getVariable(int idx);
*
* + it check fastpath for array availability (preferred)
* @return
*/
NDArray* getNDArray(int idx);
NDArray* array(int idx);
/**
* This method fetches variable from VariableSpace DIRECTLY
* @param p
* @return
*/
Variable* variable(int node, int index);
Variable* variable(std::pair<int,int>& p);
Variable* variable(std::initializer_list<int> p);
void pushNDArrayToVariableSpace(int nodeId, int index, NDArray* array, bool removable = true);
void pushNDArrayToVariableSpace(std::pair<int, int>& pair, NDArray* array, bool removable = true);
void pushNDArrayListToVariableSpace(int nodeId, int index, NDArrayList* list, bool track = true);
void pushNDArrayListToVariableSpace(std::pair<int, int>& pair, NDArrayList* list, bool track = true);
bool isValueAvailable(int idx = 0);
Variable* ensureVariable(int idx = 0);
unsigned long width() override;
// methods used in java interop
/**
* This method checks if Context uses fastpath variable access
* @return
*/
bool isFastPath();
/**
* Method allows to forbid FastPath execution
* @param reallyForbid
*/
void forbidFastPath(bool reallyForbid);
#ifndef __JAVACPP_HACK__
std::vector<NDArray*>& fastpath_in();
std::vector<NDArray*>& fastpath_out();
#endif
void setInputArray(int index, NDArray *array, bool removable = false);
void setInputArray(int index, void *buffer, void const* shapeInfo, void *specialBuffer, void const* specialShapeInfo);
void setInputArray(int index, void *buffer, void * shapeInfo, void *specialBuffer, void * specialShapeInfo);
void setInputArray(int index, void *databuffer, void const* shapeInfo, void const* specialShapeInfo);
void setOutputArray(int index, NDArray *array, bool removable = false);
void setOutputArray(int index, void *buffer, const void * shapeInfo, void *specialBuffer, const void * specialShapeInfo);
void setOutputArray(int index, void *buffer, void * shapeInfo, void *specialBuffer, void * specialShapeInfo);
void setOutputArray(int index, void *databuffer, void const* shapeInfo, void const* specialShapeInfo);
void setTArguments(double *arguments, int numberOfArguments);
void setIArguments(Nd4jLong *arguments, int numberOfArguments);
void setBArguments(bool *arguments, int numberOfArguments);
void setDArguments(sd::DataType *arguments, int numberOfArguments);
void setTArguments(const std::vector<double> &tArgs);
void setIArguments(const std::vector<Nd4jLong> &tArgs);
void setBArguments(const std::vector<bool> &tArgs);
void setDArguments(const std::vector<sd::DataType> &dArgs);
/**
* This method purges fastpath in/out contents and releases all the handles.
*
* PLEASE NOTE: I/T/B/D args will stay intact
*/
void clearFastPath();
void setCudaContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer, Nd4jPointer allocationPointer);
void allowHelpers(bool reallyAllow);
bool helpersAllowed();
void setShapeFunctionOverride(bool reallyOverride);
bool shapeFunctionOverride();
samediff::ExecutionMode executionMode();
void setExecutionMode(samediff::ExecutionMode executionMode);
bool isTraining();
bool isInference();
};
}
}
#endif //LIBND4J_BLOCK_H