org.nd4j.weightinit.impl.ReluUniformInitScheme 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.weightinit.impl;
import lombok.Builder;
import org.apache.commons.math3.util.FastMath;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.weightinit.BaseWeightInitScheme;
import org.nd4j.weightinit.WeightInit;
/**
* Initialize the weight to:
* U(-sqrt(6/fanIn), sqrt(6/fanIn)
*
* @author Adam Gibson
*/
public class ReluUniformInitScheme extends BaseWeightInitScheme {
private double fanIn;
@Builder
public ReluUniformInitScheme(char order, double fanIn) {
super(order);
this.fanIn = fanIn;
}
@Override
public INDArray doCreate(DataType dataType, long[] shape, INDArray paramsView) {
double u = Math.sqrt(6.0 / fanIn);
return Nd4j.rand(shape, Nd4j.getDistributions().createUniform(-u, u)); //U(-sqrt(6/fanIn), sqrt(6/fanIn)
}
@Override
public WeightInit type() {
return WeightInit.RELU_UNIFORM;
}
}