2019-06-06 14:21:15 +02:00
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <op_boilerplate.h>
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#include <Loops.h>
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#include <types/types.h>
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#include <loops/transform_same.h>
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#include <loops/legacy_ops.h>
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using namespace simdOps;
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namespace functions {
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namespace transform {
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template <typename X>
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void TransformSame<X>::exec(
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int opNum,
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void *x,
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Nd4jLong *xShapeInfo,
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void *z,
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Nd4jLong *zShapeInfo,
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2019-11-13 15:04:59 +01:00
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void *extraParams, uint64_t threadId, uint64_t numThreads) {
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DISPATCH_BY_OPNUM_T(exec, PARAMS(x, xShapeInfo, z, zShapeInfo, extraParams, threadId, numThreads), TRANSFORM_SAME_OPS);
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2019-06-06 14:21:15 +02:00
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}
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template <typename X>
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template<typename OpType>
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void _CUDA_H TransformSame<X>::exec(void *vx, Nd4jLong *xShapeInfo,
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void *vz, Nd4jLong *zShapeInfo,
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void *vextraParams,
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2019-11-13 15:04:59 +01:00
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uint64_t threadId, uint64_t numThreads) {
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2019-06-06 14:21:15 +02:00
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auto x = reinterpret_cast<X *>(vx);
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auto z = reinterpret_cast<X *>(vz);
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auto extraParams = reinterpret_cast<X *>(vextraParams);
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2019-11-13 15:04:59 +01:00
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nd4j::TransformLoops<X,X,X>::template loopTransform<OpType>(x, xShapeInfo, z, zShapeInfo, extraParams, threadId, numThreads);
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2019-06-06 14:21:15 +02:00
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}
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BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT TransformSame, , LIBND4J_TYPES);
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}
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}
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