org.nd4j.linalg.api.ops.impl.transforms.MaxOut 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.
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
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.BaseTransformOp;
import org.nd4j.linalg.api.ops.OpContext;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.nd4j.linalg.exception.ND4JIllegalStateException;
import org.nd4j.linalg.factory.Nd4j;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class MaxOut extends BaseTransformOp {
private Number max = Double.NaN;
public MaxOut(SameDiff sameDiff, SDVariable i_v, boolean inPlace, Number max) {
super(sameDiff, i_v, inPlace);
this.max = max;
}
public MaxOut(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs, Number max) {
super(sameDiff, i_v, extraArgs);
this.max = max;
}
public MaxOut() {}
public MaxOut(INDArray x, INDArray z) {
super(x, z);
}
public MaxOut(INDArray x) {
super(x);
}
@Override
public int opNum() {
throw new UnsupportedOperationException();
}
@Override
public String opName() {
return "maxout";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("Tensorflow name not found for " + opName());
//return "Maxout";
}
@Override
public List doDiff(List f1) {
return null;
}
@Override
public DataType resultType() {
return Nd4j.defaultFloatingPointType();
}
@Override
public DataType resultType(OpContext oc) {
return Nd4j.defaultFloatingPointType();
}
@Override
public Type getOpType() {
return Type.TRANSFORM_STRICT;
}
@Override
public boolean validateDataTypes(OpContext oc, boolean experimentalMode) {
INDArray x = oc != null ? oc.getInputArray(0) : x();
INDArray y = oc != null ? oc.getInputArray(1) : y();
INDArray z = oc != null ? oc.getOutputArray(0) : z();
if (!x.isR())
return false;
if (y != null && !y().isR())
return false;
if (z != null && z().dataType() != x().dataType())
return false;
return true;
}
@Override
public List calculateOutputShape() {
val ret = new ArrayList(1);
if(arg() == null)
throw new ND4JIllegalStateException("No arg found for op!");
val arr = sameDiff.getArrForVarName(arg().name());
if(arr == null)
return Collections.emptyList();
ret.add(LongShapeDescriptor.fromShape(arr.shape(), Nd4j.defaultFloatingPointType()));
return ret;
}
}