org.nd4j.linalg.api.ops.impl.transforms.custom.Reverse 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.transforms.custom;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Reverse extends DynamicCustomOp {
public Reverse(SameDiff sameDiff, SDVariable i_v, int... dimensions) {
super(null, sameDiff, new SDVariable[]{i_v}, false);
this.dimensions = dimensions;
addIArgument(dimensions);
}
public Reverse() {
}
/**
* Inplace reverse. See {@link #Reverse(INDArray, INDArray)}
*/
public Reverse(INDArray x){
this(x, x);
this.inPlace = true;
}
/**
* This constructor allows to specify axis for Reverse operation
* @param x
* @param axis
*/
public Reverse(INDArray x, int... axis){
super(new INDArray[]{x}, new INDArray[0]);
this.inPlace = false;
addIArgument(axis);
}
/**
* This constructor allows to specify axis for Reverse operation
* @param x
* @param axis
*/
public Reverse(INDArray x, INDArray z, int... axis){
super(new INDArray[]{x}, new INDArray[] {z});
this.inPlace = false;
addIArgument(axis);
}
/**
* Reverses whole array for compatibility with OldReverse.
*
* Note that otherwise, passing null or empty dimensions will result in a noop.
*/
public Reverse(INDArray x, INDArray z){
super(new INDArray[]{x}, new INDArray[]{z});
this.dimensions = new int[x.rank()];
for(int i = 0 ; i < this.dimensions.length ; i++)
this.dimensions[i] = i;
addIArgument(dimensions);
}
@Override
public String opName() {
return "reverse";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "Reverse";
}
@Override
public List doDiff(List f1) {
SDVariable ret = f().reverse(f1.get(0), dimensions);
return Arrays.asList(ret);
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
"Expected 1 so 2 input datatype for %s, got %s", getClass(), dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
}