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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/broadcastable/atan2.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, created on 10.02.18.
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_tf_atan2)
#include <ops/declarable/headers/broadcastable.h>
namespace sd {
namespace ops {
BROADCASTABLE_OP_IMPL(tf_atan2, 0, 0) {
auto y = INPUT_VARIABLE(0);
auto x = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
BROADCAST_CHECK_EMPTY(x, y, z);
x->applyTrueBroadcast(BroadcastOpsTuple::custom(scalar::Atan2, pairwise::Atan2, broadcast::Atan2), y, z, true);
return Status::OK;
}
DECLARE_TYPES(tf_atan2) {
getOpDescriptor()
->setAllowedInputTypes(0, ANY)
->setAllowedInputTypes(1, ANY)
->setAllowedOutputTypes(0, INHERIT);
}
} // namespace ops
} // namespace sd
#endif