org.nd4j.linalg.api.ops.impl.reduce.bp.VarianceBp 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.reduce.bp;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
/**
* Backprop op for variance reduction operation
*
* @author Alex Black
*/
public class VarianceBp extends BaseReductionBp {
private boolean biasCorrected;
public VarianceBp(SameDiff sameDiff, SDVariable origInput, SDVariable gradAtOutput, boolean biasCorrected, boolean keepDims, int... dimensions) {
super(sameDiff, origInput, gradAtOutput, keepDims, dimensions);
this.biasCorrected = biasCorrected;
addTArgument(biasCorrected ? 1.0 : 0.0);
}
public VarianceBp(INDArray origInput, INDArray gradAtOutput, INDArray output, boolean biasCorrected, boolean keepDims, int... dimensions){
super(origInput, gradAtOutput, output, keepDims, dimensions);
this.biasCorrected = biasCorrected;
addTArgument(biasCorrected ? 1.0 : 0.0);
}
public VarianceBp(){}
@Override
public String opName() {
return "reduce_variance_bp";
}
}