org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative 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
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.layers.convolution;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Collections;
import java.util.List;
/**
* UpsamplingDerivative operation
*/
@Slf4j
public class Upsampling2dDerivative extends DynamicCustomOp {
protected boolean nchw;
protected int scaleH;
protected int scaleW;
public Upsampling2dDerivative() {}
public Upsampling2dDerivative(SameDiff sameDiff, SDVariable input, SDVariable gradient, boolean nchw, int scaleH, int scaleW) {
super(null, sameDiff, new SDVariable[]{input, gradient});
this.nchw = nchw;
this.scaleH = scaleH;
this.scaleW = scaleW;
addIArgument(scaleH);
addIArgument(scaleW);
addIArgument(nchw ? 1 : 0);
}
@Override
public String opName() {
return "upsampling2d_bp";
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Unable to take derivative of derivative.");
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 2, "Expected 2 input data type for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}