org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative 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
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* * under the License.
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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.Builder;
import lombok.NonNull;
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.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig;
import java.util.Collections;
import java.util.List;
/**
* Pooling2DDerivative operation
*/
@Slf4j
public class Pooling2DDerivative extends Pooling2D {
@Builder(builderMethodName = "derivativeBuilder")
public Pooling2DDerivative(SameDiff sameDiff, SDVariable[] inputs, Pooling2DConfig config) {
super(sameDiff, inputs, config);
}
public Pooling2DDerivative(@NonNull INDArray input, @NonNull INDArray grad, INDArray output, Pooling2DConfig config){
super(new INDArray[]{input, grad}, wrapOrNull(output), config);
}
public Pooling2DDerivative() {}
@Override
public String opName() {
return super.opName() + "_bp";
}
@Override
public String onnxName(){
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName(){
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@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 types for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}