org.nd4j.linalg.api.ops.impl.accum.SufficientStatistics Maven / Gradle / Ivy
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* 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
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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.accum;
import lombok.NonNull;
import lombok.val;
import onnx.OnnxProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.AttributeAdapter;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.descriptors.properties.adapters.BooleanAdapter;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.*;
/**
* Sufficient statistics: returns 3 or 4 output arrays:
* If shift is not provided: count, sum of elements, sum of squares
* If shift is provided: count, sum of elements, sum of squares, shift
*
* @author Alex Black
*/
public class SufficientStatistics extends DynamicCustomOp {
public SufficientStatistics() {
}
public SufficientStatistics(SameDiff sameDiff, @NonNull SDVariable x, @NonNull SDVariable axis, SDVariable shift) {
super(null, sameDiff, argsNoNull(x, axis, shift), false);
}
private static SDVariable[] argsNoNull(SDVariable x, SDVariable axis, SDVariable shift){
if(shift == null){
return new SDVariable[]{x, axis};
} else {
return new SDVariable[]{x, axis, shift};
}
}
@Override
public String opName() {
return "sufficient_statistics";
}
@Override
public List doDiff(List grad) {
throw new UnsupportedOperationException("Backprop not yet implemented for op: " + getClass().getSimpleName());
}
}