cavis/libnd4j/include/helpers/ConstantShapeHelper.h
Samuel Audet 029b84e2b7
Development updates (#9053)
* RL4J: Add generic update rule (#502)

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* Shyrma reduce (#481)

* - start working on improving of cpu legacy code for reduce ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on improving legacy loops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - still working on improving reduce ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on improving reduce ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing speed run of new reduce op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - working on improvement of default loop for reduce op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - update signatures of stuff which calls reduce ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - make corrections in cuda reduce kernels

Signed-off-by: Yurii <iuriish@yahoo.com>

* - change loop for default case in broadcast legacy ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - comment some shape stuff

Signed-off-by: Yurii <iuriish@yahoo.com>

* - comment unnecessary prints in RNGtests

Signed-off-by: Yurii <iuriish@yahoo.com>

* - finish to resolve conflicts after master has been merged

Signed-off-by: Yurii <iuriish@yahoo.com>

* - get rid of some compilation mistakes of cuda stuff

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor changes

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further search for bug causing crash on java test

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add scalar case in reduce_ ... exec stuff

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor corrections in NAtiveOps.cu

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add switch to scalar case execReduceXD functions

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add support for vectors old shape in ConstantShapeHelper::createShapeInfoWithNoUnitiesForReduce

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct cuda mirrorPad

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add support for vectors old shape in cuda createShapeInfoWithNoUnitiesForReduce

Signed-off-by: Yurii <iuriish@yahoo.com>

Co-authored-by: raver119 <raver119@gmail.com>

* Add support for CUDA 11.0 (#492)

* Add support for CUDA 11.0

* libnd4j tweaks for CUDA 11

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* bindings update, again?

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* * Update versions of JavaCPP Presets for FFmpeg, OpenBLAS, and NumPy

* update API to match CUDA 8

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* * Update version of JavaCPP Presets for CPython

* C++ updated for cuDNN 8.0

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* one more test

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* one more test

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* one more test

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* 128-bit alignment for workspaces

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* change seed in 1 test

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* Fix dependecy duplication in python4j-parent pom

* Fix group id for in python4j-numpy

* few tests tweaked

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* Remove macosx-x86_64-gpu from nd4j-tests-tensorflow

* few minor tweaks for IndexReduce

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

* one test removed

Signed-off-by: raver119@gmail.com <raver119@gmail.com>

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>

* RL4J: Add SyncTrainer and AgentLearnerBuilder for a few algorithms (#504)

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
2020-07-26 21:59:27 +09:00

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3.9 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 DEV_TESTS_CONSTANTSHAPEHELPER_H
#define DEV_TESTS_CONSTANTSHAPEHELPER_H
#include <system/dll.h>
#include <system/pointercast.h>
#include <map>
#include <mutex>
#include <vector>
#include <array/ShapeDescriptor.h>
#include <array/ConstantShapeBuffer.h>
#include <memory/Workspace.h>
#include <system/op_boilerplate.h>
namespace sd {
class ND4J_EXPORT ConstantShapeHelper {
private:
std::mutex _mutex;
std::vector<MAP_IMPL<ShapeDescriptor, ConstantShapeBuffer>> _cache;
ConstantShapeHelper();
public:
~ConstantShapeHelper() = default;
static ConstantShapeHelper & getInstance();
ConstantShapeBuffer& bufferForShapeInfo(sd::DataType dataType, char order, const std::vector<Nd4jLong> &shape);
ConstantShapeBuffer& bufferForShapeInfo(const ShapeDescriptor &descriptor);
ConstantShapeBuffer& bufferForShapeInfo(const Nd4jLong *shapeInfo);
ConstantShapeBuffer& bufferForShapeInfo(sd::DataType dataType, char order, int rank, const Nd4jLong* shape);
ConstantShapeBuffer& createShapeInfoWithUnitiesForBroadcast(const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, sd::memory::Workspace* workspace = nullptr, const std::vector<int> &dimensions = {});
ConstantShapeBuffer& createShapeInfoWithNoUnitiesForReduce(const Nd4jLong* maxShapeInfo, const std::vector<int> &dimsWithUnities, sd::memory::Workspace* workspace = nullptr);
ConstantShapeBuffer& createSubArrShapeInfo(const Nd4jLong* inShapeInfo, const int* dims, const int dimsSize, sd::memory::Workspace* workspace = nullptr);
const Nd4jLong* emptyShapeInfo(sd::DataType dataType);
const Nd4jLong* scalarShapeInfo(sd::DataType dataType);
const Nd4jLong* vectorShapeInfo(Nd4jLong length, sd::DataType dataType);
const Nd4jLong* createShapeInfo(const ShapeDescriptor &descriptor);
const Nd4jLong* createShapeInfo(sd::DataType dataType, char order, const std::vector<Nd4jLong> &shape);
const Nd4jLong* createShapeInfo(sd::DataType dataType, char order, int rank, const Nd4jLong* shape);
const Nd4jLong* createShapeInfo(sd::DataType dataType, const Nd4jLong* shapeInfo);
const Nd4jLong* createFromExisting(Nd4jLong *shapeInfo, sd::memory::Workspace *workspace);
const Nd4jLong* createFromExisting(Nd4jLong *shapeInfo, bool destroyOriginal = true);
bool checkBufferExistenceForShapeInfo(ShapeDescriptor &descriptor);
/**
* This method returns number of cached TAD shapes/offsets on specific device
* @return
*/
FORCEINLINE int cachedEntriesForDevice(int deviceId) {
if (deviceId > _cache.size())
throw std::runtime_error("deviceId > number of actual devices");
return _cache[deviceId].size();
}
/**
* This method returns total number of cached TAD shapes/offsets on all devices
* @return
*/
FORCEINLINE int totalCachedEntries() {
int total = 0;
for (int e = 0; e < _cache.size(); e++)
total += _cache[e].size();
return total;
}
};
}
#endif //DEV_TESTS_CONSTANTSHAPEHELPER_H