cavis/libnd4j/include/helpers/ConstantTadHelper.h

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/*******************************************************************************
* 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_CONSTANTTADHELPER_H
#define DEV_TESTS_CONSTANTTADHELPER_H
#include <dll.h>
#include <op_boilerplate.h>
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#include <pointercast.h>
#include <map>
#include <vector>
#include <mutex>
#include <array/ShapeDescriptor.h>
#include <array/TadDescriptor.h>
#include <array/TadPack.h>
namespace nd4j {
class ND4J_EXPORT ConstantTadHelper {
private:
static ConstantTadHelper *_INSTANCE;
std::mutex _mutex;
std::vector<std::map<TadDescriptor, TadPack>> _cache;
ConstantTadHelper();
public:
~ConstantTadHelper() = default;
static ConstantTadHelper* getInstance();
/**
* These methods calculate Tensor-Along-Dimension(s) shape and offsets
*
* @param originalShape
* @param dimensions
* @param keepUnitiesInShape
* @return
*/
[WIP] More of CUDA operations (#69) * initial commit Signed-off-by: raver119 <raver119@gmail.com> * - gruCell_bp further Signed-off-by: Yurii <yurii@skymind.io> * - further work on gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * Inverse matrix cublas implementation. Partial working revision. * Separation of segment ops helpers. Max separation. * Separated segment_min ops. * Separation of segment_mean/sum/prod/sqrtN ops heleprs. * Fixed diagonal processing with LUP decomposition. * Modified inversion approach using current state of LU decomposition. * Implementation of matrix_inverse op with cuda kernels. Working revision. * Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests. * - further work on gruCell_bp (ff/cuda) Signed-off-by: Yurii <yurii@skymind.io> * comment one test for gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * - provide cuda static_rnn Signed-off-by: Yurii <yurii@skymind.io> * Refactored random_shuffle op to use new random generator. * Refactored random_shuffle op helper. * Fixed debug tests with random ops tests. * Implement random_shuffle op cuda kernel helper and tests. * - provide cuda scatter_update Signed-off-by: Yurii <yurii@skymind.io> * Implementation of random_shuffle for linear case with cuda kernels and tests. * Implemented random_shuffle with cuda kernels. Final revision. * - finally gruCell_bp is completed Signed-off-by: Yurii <yurii@skymind.io> * Dropout op cuda helper implementation. * Implemented dropout_bp cuda helper. * Implemented alpha_dropout_bp with cuda kernel helpers. * Refactored helper. * Implementation of suppresion helper with cuda kernels. * - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue Signed-off-by: Yurii <yurii@skymind.io> * Using sort by value method. * Implementation of image.non_max_suppression op cuda-based helper. * - correcting and testing adjust_hue, adjust_saturation cpu/cuda code Signed-off-by: Yurii <yurii@skymind.io> * Added cuda device prefixes to declarations. * Implementation of hashcode op with cuda helper. Initital revision. * rnn cu impl removed Signed-off-by: raver119 <raver119@gmail.com>
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TadPack& tadForDimensions(const Nd4jLong *originalShape, const std::vector<int> &dimensions, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(const Nd4jLong *originalShape, int* dimensions, int dimLength, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(const Nd4jLong *originalShape, int dimensions, const bool keepUnitiesInShape = false);
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TadPack& tadForDimensions(ShapeDescriptor &descriptor, std::vector<int> &dimensions, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(TadDescriptor &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;
}
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};
}
#endif //DEV_TESTS_CONSTANTTADHELPER_H