org.nd4j.linalg.api.ops.impl.transforms.custom.InvertPermutation 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 lombok.NoArgsConstructor;
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.ops.impl.transforms.BaseDynamicTransformOp;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.UUID;
/**
* Inverse of index permutation.
*
* @author Max Pumperla
*/
@NoArgsConstructor
public class InvertPermutation extends BaseDynamicTransformOp {
public InvertPermutation(SameDiff sameDiff, SDVariable input, boolean inPlace) {
super( sameDiff, new SDVariable[] {input}, inPlace);
}
@Override
public String opName() {
return "invert_permutation";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx name found for shape " + opName());
}
@Override
public String tensorflowName() {
return "InvertPermutation";
}
@Override
public List doDiff(List grad) {
SDVariable gradient = grad.get(0);
SDVariable invertedGradient = f().invertPermutation(gradient, false);
return Arrays.asList(invertedGradient);
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), dataTypes);
return dataTypes;
}
}