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deeplearning4j--deeplearning4j/libnd4j/include/helpers/cpu/loops/ReductionLoops_bool.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* 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
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "ReductionLoops.hpp"
using namespace simdOps;
namespace sd {
template <typename X, typename Z>
template <typename OpType>
void ReductionBoolLoops<X, Z>::innerloopReduce(sd::memory::Workspace* workspace, const X* x,
const sd::LongType* xShapeInfo, Z* z, const sd::LongType* zShapeInfo,
const LongType* dims, X* extraParams) {
#ifndef SD_LOOPS_INLINED
ReductionLoops<X, Z, X>::template loopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims, extraParams);
#endif
}
template <typename X, typename Z>
void ReductionBoolLoops<X, Z>::wrapper(int opNum, memory::Workspace* workspace, const X* x, const LongType* xShapeInfo, Z* z,
const LongType* zShapeInfo, const LongType* dims, X* extraParams) {
#ifndef SD_LOOPS_INLINED
DISPATCH_BY_OPNUM_TT(innerloopReduce, PARAMS(workspace, x, xShapeInfo, z, zShapeInfo, dims, extraParams),
REDUCE_BOOL_OPS);
#endif
}
// NOTE: Template instantiations are handled by TemplateProcessing.cmake
// Removed BUILD_DOUBLE_TEMPLATE to avoid duplicate instantiations
} // namespace sd