cavis/libnd4j/include/loops/random.h

102 lines
4.7 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_RANDOM_H
#define LIBND4J_RANDOM_H
#include <helpers/shape.h>
#include <helpers/helper_random.h>
#include <ops/random_ops.h>
#include <ops/special_random_ops.h>
#include <loops/legacy_ops.h>
namespace functions {
namespace random {
template<typename X>
class RandomFunction {
public:
#ifdef __CUDABLAS__
template<typename OpClass>
static _CUDA_D void execTransformCuda(Nd4jPointer state,
const void *x, const Nd4jLong *xShapeBuffer,
const void *y, const Nd4jLong *yShapeBuffer,
void *z, const Nd4jLong *zShapeBuffer,
void *extraArguments);
template<typename OpClass>
static _CUDA_D void execTransformCuda(Nd4jPointer state,
const void *x, const Nd4jLong *xShapeBuffer,
void *z, const Nd4jLong *zShapeBuffer,
void *extraArguments);
template<typename OpClass>
static _CUDA_D void execTransformCuda(Nd4jPointer state, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
static _CUDA_H void executeCudaSingle(dim3& launchDims, cudaStream_t* stream,
int opNum,
Nd4jPointer stateHost,
void *z, const Nd4jLong *zShapeBuffer,
void *extraArguments);
static _CUDA_H void executeCudaDouble(dim3& launchDims, cudaStream_t* stream,
int opNum,
Nd4jPointer stateHost,
const void *x, const Nd4jLong *xShapeBuffer,
void *z, const Nd4jLong *zShapeBuffer,
void *extraArguments);
static _CUDA_H void executeCudaTriple(dim3& launchDims, cudaStream_t* stream,
int opNum,
Nd4jPointer stateHost,
const void *x, const Nd4jLong *xShapeBuffer,
const void *y, const Nd4jLong *yShapeBuffer,
void *z, const Nd4jLong* zShapeBuffer,
void *extraArguments);
#else
template<typename OpClass>
static void execTransform(Nd4jPointer state, const void *x, const Nd4jLong *xShapeBuffer, const void *y, const Nd4jLong *yShapeBuffer, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
template<typename OpClass>
static void execTransform(Nd4jPointer state, const void *x, const Nd4jLong *xShapeBuffer, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
template<typename OpClass>
static void execTransform(Nd4jPointer state, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
static void execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeBuffer, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
static void execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeBuffer, const void *y, const Nd4jLong *yShapeBuffer, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
static void execTransform(int opNum, Nd4jPointer state, void *z, const Nd4jLong *zShapeBuffer, void *extraArguments);
#endif
};
}
}
#endif //LIBND4J_RANDOM_H