cavis/libnd4j/include/loops/cpu/transform/transform_any.cpp

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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
//
#include <op_boilerplate.h>
#include <Loops.h>
#include <types/types.h>
#include <loops/transform_any.h>
#include <loops/legacy_ops.h>
using namespace simdOps;
namespace functions {
namespace transform {
template <typename X, typename Y>
void TransformAny<X, Y>::exec(
int opNum,
void *x,
Nd4jLong *xShapeInfo,
void *z,
Nd4jLong *zShapeInfo,
void *extraParams,
uint64_t threadId, uint64_t numThreads) {
DISPATCH_BY_OPNUM_TT(exec, PARAMS(x, xShapeInfo, z, zShapeInfo, extraParams, threadId, numThreads), TRANSFORM_ANY_OPS);
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}
/////////////////////////////////////////////////////////////////////
template <typename X, typename Z>
template<typename OpType>
void _CUDA_H TransformAny<X, Z>::exec(void *vx, Nd4jLong *xShapeInfo,
void *vz,Nd4jLong *zShapeInfo,
void *vextraParams, uint64_t threadId, uint64_t numThreads) {
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auto x = reinterpret_cast<X *>(vx);
auto z = reinterpret_cast<Z *>(vz);
auto extraParams = reinterpret_cast<X *>(vextraParams);
nd4j::TransformLoops<X,Z,X>::template loopTransform<OpType>(x, xShapeInfo, z, zShapeInfo, extraParams, threadId, numThreads);
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}
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT TransformAny, , LIBND4J_TYPES, LIBND4J_TYPES);
}
}