org.nd4j.linalg.api.ops.impl.transforms.MatrixSetDiag 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.
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.List;
public class MatrixSetDiag extends DynamicCustomOp {
public MatrixSetDiag(SameDiff sameDiff, SDVariable in, SDVariable diag, boolean inPlace) {
super(null, sameDiff, new SDVariable[]{in, diag}, inPlace);
}
public MatrixSetDiag(){ }
@Override
public String[] tensorflowNames() {
return new String[]{"MatrixSetDiag", "BatchMatrixSetDiag"};
}
@Override
public String opName() {
return "matrix_set_diag";
}
@Override
public List doDiff(List i_v) {
SDVariable grad = i_v.get(0);
SDVariable in1Grad = f().setDiag(grad, sameDiff.zerosLike(arg(1)));
SDVariable in2Grad = f().diagPart(grad);
return Arrays.asList(in1Grad, in2Grad);
}
}