org.nd4j.linalg.api.ops.impl.shape.Broadcast Maven / Gradle / Ivy
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* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.shape;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.List;
/**
* Broadcast function
*
* @author Adam Gibson
*/
public class Broadcast extends DynamicCustomOp {
private long[] shape;
public Broadcast(SameDiff sameDiff,SDVariable iX, long[] shape) {
super(null,sameDiff,new SDVariable[]{iX});
this.shape = shape;
}
public Broadcast() {}
@Override
public List calculateOutputShape() {
return Arrays.asList(shape);
}
@Override
public String opName() {
return "broadcast";
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException();
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
}