org.nd4j.linalg.api.ops.impl.indexaccum.IMax Maven / Gradle / Ivy
/*******************************************************************************
* 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.indexaccum;
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.BaseIndexAccumulation;
import java.util.Collections;
import java.util.List;
/**
* Calculate the index
* of max value over a vector
*
* @author Alex Black
*/
public class IMax extends BaseIndexAccumulation {
public IMax(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
super(sameDiff, i_v, keepDims, dimensions);
}
public IMax() {
}
public IMax(INDArray x, INDArray y, long n) {
super(x, y, null, n);
}
public IMax(INDArray x) {
super(x, null, null, x.length());
}
@Override
public int opNum() {
return 0;
}
@Override
public String opName() {
return "imax";
}
@Override
public float zeroFloat() {
return 0.0f;
}
@Override
public double zeroDouble() {
return 0.0;
}
@Override
public float zeroHalf() {
return zeroFloat();
}
@Override
public String onnxName() {
return "arg_max";
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public Type opType() {
return Type.INDEXREDUCE;
}
@Override
public List doDiff(List f1) {
//Not differentiable, but (assuming no ties) output does not change for a given infinitesimal change in the input
return Collections.singletonList(f().zerosLike(arg()));
}
}