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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/helpers/cpu/summaryReductions.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 AbdelRauf
//
#include <ops/declarable/helpers/reductions.h>
#include <vector>
#include <system/selective_rendering.h>
namespace sd {
namespace ops {
namespace helpers {
//////////////////////////////////////////////////////////////////////////
template <typename X, typename Z>
void variance_(NDArray& input, NDArray& output, const std::vector<sd::LongType>& dimensions, bool biasCorrected);
template <typename X, typename Z>
void standardDeviation_(NDArray& input, NDArray& output, const std::vector<sd::LongType>& dimensions, bool biasCorrected);
//////////////////////////////////////////////////////////////////////////
void variance(NDArray& input, NDArray& output, const std::vector<LongType>& dimensions, bool biasCorrected) {
auto inputDType = input.dataType();
auto outputDType = output.dataType();
BUILD_DOUBLE_SELECTOR(input.dataType(), output.dataType(), variance_, (input, output, dimensions, biasCorrected),
SD_COMMON_TYPES, SD_FLOAT_TYPES);
}
void standardDeviation(NDArray& input, NDArray& output, const std::vector<LongType>& dimensions, bool biasCorrected) {
auto inputDType = input.dataType();
auto outputDType = output.dataType();
BUILD_DOUBLE_SELECTOR(input.dataType(), output.dataType(), standardDeviation_,
(input, output, dimensions, biasCorrected), SD_NUMERIC_TYPES, SD_FLOAT_TYPES);
}
BUILD_DOUBLE_TEMPLATE(void variance_,
(NDArray&, NDArray&, const std::vector<sd::LongType>&, bool),
SD_NUMERIC_TYPES,
SD_FLOAT_TYPES)
BUILD_DOUBLE_TEMPLATE(void standardDeviation_,
(NDArray&, NDArray&, const std::vector<sd::LongType>&, bool),
SD_NUMERIC_TYPES,
SD_FLOAT_TYPES)
} // namespace helpers
} // namespace ops
} // namespace sd