cavis/libnd4j/include/loops/cuda/inplace_loops/scalar_inplace.h

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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_SCALAR_INPLACE_H
#define DEV_TESTS_SCALAR_INPLACE_H
#include <ops.h>
#include <types/types.h>
#include <op_boilerplate.h>
#include <shape.h>
using namespace simdOps;
namespace functions {
namespace scalar {
template <typename X, typename Y, typename Z>
class ScalarInplace {
public:
static FORCEINLINE _CUDA_D void transformCudaLegacy(int opNum, void* vscalar, void *vy, Nd4jLong *yShapeInfo, void *vparams, void *vz, Nd4jLong *zShapeInfo, int *allocationBuffer);
template <typename OpClass>
static FORCEINLINE _CUDA_D void transformCuda(void* vscalar, void *vy, Nd4jLong *yShapeInfo, void *vparams, void *vz, Nd4jLong *zShapeInfo, int *allocationBuffer);
};
template<typename X, typename Y, typename Z>
FORCEINLINE _CUDA_D void ScalarInplace<X,Y,Z>::transformCudaLegacy(int opNum, void* vscalar,
void *vy, Nd4jLong *yShapeInfo,
void *vparams,
void *vz, Nd4jLong *zShapeInfo,
int *allocationBuffer) {
DISPATCH_BY_OPNUM_TTT(transformCuda, PARAMS(vscalar, vy, yShapeInfo, vparams, vz, zShapeInfo, allocationBuffer), SCALAR_OPS);
}
template<typename X, typename Y, typename Z>
template<typename OpType>
FORCEINLINE _CUDA_D void ScalarInplace<X,Y,Z>::transformCuda(void* vscalar,
void *vy, Nd4jLong *yShapeInfo,
void *vparams,
void *vz, Nd4jLong *zShapeInfo,
int *allocationBuffer) {
auto scalar = reinterpret_cast<X*>(vscalar)[0];
auto y = reinterpret_cast<Y*>(vy);
auto params = reinterpret_cast<Z*>(vparams);
auto z = reinterpret_cast<Z*>(vz);
int totalThreads = gridDim.x * blockDim.x;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
__shared__ Nd4jLong length;
if(threadIdx.x == 0)
length = shape::length(yShapeInfo);
__syncthreads();
for (Nd4jLong i = tid; i < length; i+= totalThreads) {
z[shape::getIndexOffset(i, zShapeInfo, length)] = OpType::op(y[shape::getIndexOffset(i, yShapeInfo, length)], scalar, params);
}
}
}
}
#endif //DEV_TESTS_SCALAR_INPLACE_H