org.nd4j.linalg.api.ops.impl.shape.Permute 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.apache.commons.lang3.ArrayUtils;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import java.util.Arrays;
import java.util.List;
/**
* Permute function
*
* @author Adam Gibson
*/
public class Permute extends Transpose {
private int[] reverseDims;
public Permute(SameDiff sameDiff, SDVariable i_v, int... permuteDims) {
super(sameDiff, i_v);
this.permuteDims = permuteDims;
this.reverseDims = new int[permuteDims.length];
for (int i = 0; i < reverseDims.length; i++) {
reverseDims[i] = ArrayUtils.indexOf(permuteDims, i);
}
addIArgument(permuteDims);
}
public Permute(INDArray input, INDArray result, int... permuteDims){
super(input, result);
this.permuteDims = permuteDims;
this.reverseDims = new int[permuteDims.length];
for (int i = 0; i < reverseDims.length; i++) {
reverseDims[i] = ArrayUtils.indexOf(permuteDims, i);
}
addIArgument(permuteDims);
}
public Permute() {
}
@Override
public String opName() {
return "permute";
}
@Override
public List doDiff(List i_v) {
SDVariable ret = f().permute(i_v.get(0), reverseDims);
return Arrays.asList(ret);
}
@Override
public String tensorflowName() {
return "NonExistent";
}
@Override
public String onnxName() {
return "NonExistentAsWell";
}
}