org.nd4j.linalg.api.ops.impl.reduce.same.AMax 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.reduce.same;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseReduceSameOp;
import java.util.Collections;
import java.util.List;
/**
* Calculate the absolute max over a vector
*
* @author [email protected]
*/
public class AMax extends BaseReduceSameOp {
public AMax(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
super(sameDiff, i_v, dimensions);
}
public AMax(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions) {
super(sameDiff, i_v, i_v2, dimensions);
}
public AMax(INDArray x, INDArray z, int... dimensions) {
super(x, null, z, dimensions);
}
public AMax() {}
public AMax(INDArray x, int... dimensions) {
super(x, null, null, dimensions);
}
@Override
public int opNum() {
return 5;
}
@Override
public String opName() {
return "amax";
}
@Override
public List doDiff(List f1) {
SDVariable sgn = sameDiff.math().sign(arg());
SDVariable maxBp = f().maxBp(sameDiff.math().abs(arg()), f1.get(0), false, dimensions);
return Collections.singletonList(sgn.mul(maxBp));
}
@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());
}
}