All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.nd4j.linalg.api.ops.impl.accum.WeightedCrossEntropyLoss Maven / Gradle / Ivy

There is a newer version: 1.0.0-M2.1
Show newest version
/*******************************************************************************
 * 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
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.nd4j.linalg.api.ops.impl.accum;

import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.Map;


/**
 * Weighted cross entropy loss with logits
 *
 * @author Max Pumperla
 */
@NoArgsConstructor
public class WeightedCrossEntropyLoss extends DynamicCustomOp {


    public WeightedCrossEntropyLoss(SameDiff sameDiff, SDVariable targets, SDVariable inputs, SDVariable weights) {
        super(null, sameDiff, new SDVariable[]{targets, inputs, weights}, false);
        this.sameDiff = sameDiff;
    }


    @Override
    public String opName() {
        return "weighted_cross_entropy_with_logits";
    }

    @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 Op.Type opType() {
        return Op.Type.CUSTOM;
    }
}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy