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DefaultStepFunction.java
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DefaultStepFunction.java
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/*
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://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.
*
*/
package org.deeplearning4j.optimize.stepfunctions;
import org.deeplearning4j.optimize.api.StepFunction;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
/**
* Default step function
* @author Adam Gibson
*/
public class DefaultStepFunction implements StepFunction {
@Override
public void step(INDArray x, INDArray line, Object[] params) {
double alam = (double) params[0];
double oldAlam = (double) params[1];
if(x.data().dataType() == DataBuffer.Type.DOUBLE) {
Nd4j.getBlasWrapper().axpy(alam - oldAlam, line, x);
}
else {
float diff = (float) (alam - oldAlam);
Nd4j.getBlasWrapper().axpy(diff,line,x);
}
}
@Override
public void step(INDArray x, INDArray line) {
throw new UnsupportedOperationException();
}
@Override
public void step() {
throw new UnsupportedOperationException();
}
}