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deeplearning4j--deeplearning4j/libnd4j/include/ops/BroadcastOpsTuple.h
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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
//
#ifndef DEV_TESTS_BROADCASTOPSTUPLE_H
#define DEV_TESTS_BROADCASTOPSTUPLE_H
#include <system/common.h>
#include <system/op_enums.h>
namespace sd {
class SD_LIB_EXPORT BroadcastOpsTuple {
private:
public:
scalar::Ops s;
pairwise::Ops p;
broadcast::Ops b;
BroadcastOpsTuple() = default;
~BroadcastOpsTuple() = default;
BroadcastOpsTuple(scalar::Ops scalar, pairwise::Ops pairwise, broadcast::Ops broadcast) {
s = scalar;
p = pairwise;
b = broadcast;
}
static BroadcastOpsTuple custom(scalar::Ops scalar, pairwise::Ops pairwise, broadcast::Ops broadcast);
static BroadcastOpsTuple Add();
static BroadcastOpsTuple Assign();
static BroadcastOpsTuple Divide();
static BroadcastOpsTuple DivideNoNan();
static BroadcastOpsTuple Multiply();
static BroadcastOpsTuple Subtract();
static BroadcastOpsTuple IGamma();
static BroadcastOpsTuple IGammac();
static BroadcastOpsTuple Pow();
static BroadcastOpsTuple PowDerivative();
};
} // namespace sd
#endif // DEV_TESTS_BROADCASTOPSTUPLE_H