/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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
******************************************************************************/
/*
* scalar.h
*
* Created on: Dec 28, 2015
* Author: agibsonccc
*/
#ifndef SCALAR_INT_H_
#define SCALAR_INT_H_
#include <system/dll.h>
#ifdef __JNI__
#include <jni.h>
#endif
#include <math/templatemath.h>
#include <ops/ops.h>
#include <system/op_boilerplate.h>
#include "helpers/logger.h"
#include <helpers/OmpLaunchHelper.h>
#include <helpers/DebugHelper.h>
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#include <types/float16.h>
#endif
#include "legacy_ops.h"
namespace functions {
namespace scalar {
/**
* Apply a scalar
* operation to an array
*/
template<typename X>
class ScalarIntTransform {
public:
#ifdef __CUDACC__
template<typename OpType>
__device__
static void transformCuda(const void* scalar,
const void *vy, const Nd4jLong *shapeInfo,
void *vparams,
void *vresult, const Nd4jLong *resultShapeInfo,
int *allocationBuffer);
template<typename OpType>
__device__
static void transformCuda(Nd4jLong n,
const void* vx, const void *vy, Nd4jLong yEWS,
void *vparams,
void *vz, Nd4jLong zEWS,
int *allocationBuffer);
template<typename OpType>
__device__
static void transformCuda(const void *vx, const Nd4jLong *xShapeInfo,
void *vextraParams,
void *vz, const Nd4jLong *zShapeInfo,
const void *vscalars,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ);
template <typename OpType>
__host__
static void intermediateAlongDimension(dim3& launchDims, cudaStream_t *stream,
const void *x, const Nd4jLong *xShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
const void *scalars,
void *extraParams,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ);
template <typename OpType>
__host__
static void intermediateShaped(dim3& launchDims, cudaStream_t *stream,
const void *vx, const Nd4jLong *xShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
const void* vscalar,
void *vextraParams,
int *allocPointer);
__host__
static void executeCudaShaped(dim3& launchDims, cudaStream_t *stream,
int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *result, const Nd4jLong *resultShapeInfo,
const void* scalar,
void *extraParams);
__host__
static void executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream,
int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
const void *scalars,
void *extraParams,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ);
#else
template <typename OpType>
static void transform(const void *x, const Nd4jLong *xShapeInfo,
void *extraParams,
void *z, const Nd4jLong *zShapeInfo,
const void *scalars,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ,
uint64_t start, uint64_t stop);
static void transform(int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *extraParams,
void *z, const Nd4jLong *zShapeInfo,
const void *scalars,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ,
uint64_t start, uint64_t stop);
static void transform(int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *result, const Nd4jLong *resultShapeInfo,
const void *scalar,
void *extraParams,
uint64_t start,
uint64_t stop);
static void transform(int opNum,
const void *x, Nd4jLong xStride,
void *result, Nd4jLong resultStride,
const void *scalar,
void *extraParams,
uint64_t n, uint64_t start, uint64_t stop);
/*
* ScalarOp along dimension
*/
/**
* CPU implementation of scalar operation
* @param x the input
* @param xStride the stride for the input
* @param result the result buffer
* @param resultStride the stride for the result
* @param scalar the scalar to apply
* @param extraParams the extra parameters where
* neccssary
* @param n the number of elements to loop over
*/
template<typename OpType>
static void transform(const void *x, const Nd4jLong *xShapeInfo,
void *result, const Nd4jLong *resultShapeInfo,
const void *scalar,
void *extraParams,
uint64_t start, uint64_t stop);
/**
* CPU implementation of scalar operation
* @param x the input
* @param xStride the stride for the input
* @param result the result buffer
* @param resultStride the stride for the result
* @param scalar the scalar to apply
* @param extraParams the extra parameters where
* neccssary
* @param n the number of elements to loop over
*/
template<typename OpType>
static void transform(const void *x, Nd4jLong xStride,
void *result, Nd4jLong resultStride,
const void *scalar,
void *extraParams,
uint64_t n, uint64_t start, uint64_t stop);
#endif
};
}
}
#endif /* SCALAR_H_ */