org.nd4j.weightinit.impl.ReluInitScheme Maven / Gradle / Ivy
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/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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:
* randn(shape) //N(0, 2/nIn);
* @author Adam Gibson
*/
public class ReluInitScheme extends BaseWeightInitScheme {
private double fanIn;
@Builder
public ReluInitScheme(char order,double fanIn) {
super(order);
this.fanIn = fanIn;
}
@Override
public INDArray doCreate(DataType dataType, long[] shape, INDArray paramsView) {
return Nd4j.randn(dataType, order(), shape).muli(FastMath.sqrt(2.0 / fanIn)); //N(0, 2/nIn);
}
@Override
public WeightInit type() {
return WeightInit.RELU;
}
}