org.nd4j.weightinit.impl.IdentityInitScheme 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.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.weightinit.BaseWeightInitScheme;
import org.nd4j.weightinit.WeightInit;
import java.util.Arrays;
/**
* Initialize the weight to one.
* @author Adam Gibson
*/
public class IdentityInitScheme extends BaseWeightInitScheme {
@Builder
public IdentityInitScheme(char order) {
super(order);
}
@Override
public INDArray doCreate(long[] shape, INDArray paramsView) {
if(shape.length != 2 || shape[0] != shape[1]){
throw new IllegalStateException("Cannot use IDENTITY init with parameters of shape "
+ Arrays.toString(shape) + ": weights must be a square matrix for identity");
}
if(order() == Nd4j.order()){
return Nd4j.eye(shape[0]);
} else {
return Nd4j.createUninitialized(shape, order()).assign(Nd4j.eye(shape[0]));
}
}
@Override
public WeightInit type() {
return WeightInit.IDENTITY;
}
}