org.nd4j.linalg.api.ops.random.custom.RandomNormal 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.random.custom;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.util.ArrayUtil;
import java.util.Collections;
import java.util.List;
/**
* Random normal distribution
*
* @author Alex Black
*/
public class RandomNormal extends DynamicCustomOp {
private double mean;
private double stdev;
public RandomNormal() {
}
public RandomNormal(SameDiff sameDiff, SDVariable shape, double mean, double stdev) {
super(null, sameDiff, new SDVariable[]{shape});
this.mean = mean;
this.stdev = stdev;
addTArgument(mean, stdev);
}
@Override
public String opName() {
return "randomnormal";
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("Not TF op name set for " + getClass().getSimpleName());
}
@Override
public List doDiff(List grad){
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
}