55 lines
1.7 KiB
Plaintext
55 lines
1.7 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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 George A. Shulinok <sgazeos@gmail.com>
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//
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#include<ops/declarable/helpers/lgamma.h>
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//#include <execution/Threads.h>
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//#include <helper_math.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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// calculate digamma function for array elements
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template <typename T>
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static void lgamma_(NDArray& x, NDArray& z) {
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//auto dtype = x.dataType();
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auto lgammaProc = LAMBDA_T(x_, dtype) {
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return T(DataTypeUtils::fromT<T>() == DataType::DOUBLE?::lgamma(x_): ::lgammaf(x_)); //math::nd4j_log<T,T>(math::nd4j_gamma<T,T>(x));
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};
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x.applyLambda(lgammaProc, z);
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}
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void lgamma(nd4j::LaunchContext* context, NDArray& x, NDArray& z) {
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BUILD_SINGLE_SELECTOR(x.dataType(), lgamma_, (x, z), FLOAT_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void lgamma_, (NDArray& x, NDArray& z), FLOAT_TYPES);
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}
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}
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}
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