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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.transforms.any;
import org.nd4j.autodiff.functions.DifferentialFunction;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformAnyOp;
import org.nd4j.linalg.api.ops.executioner.OpExecutioner;
import org.nd4j.linalg.factory.Nd4j;
import java.util.Collections;
import java.util.List;
/**
* [1, 2, 3, 1] -> [0, 0, 1, 0]
* @author Adam Gibson
*/
public class IsMax extends BaseTransformAnyOp {
public IsMax(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public IsMax(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
}
public IsMax(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs) {
super(sameDiff, i_v, extraArgs);
}
public IsMax(INDArray x, INDArray z) {
super(x, z);
}
public IsMax() {}
public IsMax(INDArray x) {
super(x, Nd4j.createUninitialized(DataType.BOOL, x.shape(), x.ordering()));
}
public IsMax(INDArray x, INDArray z, int... dimensions) {
super(x, z);
this.extraArgs = new Object[dimensions.length + 1];
this.extraArgs[0] = dimensions.length;
for (int i = 0; i < dimensions.length; i++)
this.extraArgs[i + 1] = dimensions[i];
}
public IsMax(INDArray x, int... dimensions) {
super(x, Nd4j.createUninitialized(x.dataType(), x.shape(), x.ordering()));
this.extraArgs = new Object[dimensions.length + 1];
this.extraArgs[0] = dimensions.length;
for (int i = 0; i < dimensions.length; i++)
this.extraArgs[i + 1] = dimensions[i];
}
@Override
public int opNum() {
return 1;
}
@Override
public String opName() {
return "ismax";
}
@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());
}
@Override
public DataBuffer extraArgsDataBuff(DataType dtype) {
if (Nd4j.getExecutioner().type() == OpExecutioner.ExecutionerType.CUDA)
return this.extraArgs == null ? null : Nd4j.createBuffer(DataType.LONG, 1, false);
else
return super.extraArgsDataBuff(dtype);
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(f().zerosLike(arg()));
}
}