org.nd4j.weightinit.BaseWeightInitScheme 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;
import lombok.EqualsAndHashCode;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import java.util.Arrays;
/**
* Abstract class for {@link WeightInitScheme}
* This handles boilerplate like delegating to the parameters view.
*
*
*
* @author Adam Gibson
*/
@EqualsAndHashCode
public abstract class BaseWeightInitScheme implements WeightInitScheme {
private char order;
/**
* Initialize with c weight ordering by default
*/
public BaseWeightInitScheme() {
this('c');
}
public BaseWeightInitScheme(char order) {
this.order = order;
}
public abstract INDArray doCreate(DataType dataType, long[] shape, INDArray paramsView);
@Override
public INDArray create(long[] shape, INDArray paramsView) {
return handleParamsView(doCreate(paramsView.dataType(), shape,paramsView),paramsView);
}
@Override
public INDArray create(DataType dataType, long... shape) {
INDArray ret = doCreate(dataType, shape,null);
return ret;
}
@Override
public char order() {
return order;
}
protected INDArray handleParamsView(INDArray outputArray, INDArray paramView) {
//minor optimization when the views are the same, just return
if(paramView == null || paramView == outputArray)
return outputArray;
INDArray flat = Nd4j.toFlattened(order(), outputArray);
if (flat.length() != paramView.length())
throw new RuntimeException("ParamView length does not match initialized weights length (view length: "
+ paramView.length() + ", view shape: " + Arrays.toString(paramView.shape())
+ "; flattened length: " + flat.length());
paramView.assign(flat);
return paramView.reshape(order(), outputArray.shape());
}
}