cavis/libnd4j/include/ops/declarable/helpers/cpu/lgamma.cpp

54 lines
1.6 KiB
C++
Raw Normal View History

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