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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/linalg/digamma.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 Yurii Shyrma (iuriish@yahoo.com)
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_digamma)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/gammaMathFunc.h>
namespace sd {
namespace ops {
CONFIGURABLE_OP_IMPL(digamma, 1, 1, false, 0, 0) {
auto x = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
if (x->isEmpty()) {
return Status::OK;
}
helpers::diGamma(block.launchContext(), *x, *z);
return Status::OK;
}
DECLARE_TYPES(digamma) { getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS, ALL_INTS})->setSameMode(true); }
} // namespace ops
} // namespace sd
#endif