org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLossWithLogits 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
* 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;
/**
* Softmax cross entropy loss with Logits
*
* @author Max Pumperla
*/
@NoArgsConstructor
public class SoftmaxCrossEntropyLossWithLogits extends DynamicCustomOp {
public SoftmaxCrossEntropyLossWithLogits(SameDiff sameDiff, SDVariable logits, SDVariable weights, SDVariable labels,
int reductionMode, double labelSmoothing) {
super(null, sameDiff, new SDVariable[]{logits, weights, labels}, false);
}
public SoftmaxCrossEntropyLossWithLogits(SameDiff sameDiff, SDVariable logits, SDVariable weights, SDVariable labels,
int reductionMode) {
this(sameDiff, logits, weights, labels, reductionMode, 0.0);
}
public void addArgs() {
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
TFGraphMapper.getInstance().initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
}
@Override
public String opName() {
return "softmax_cross_entropy_loss_with_logits";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "SoftmaxCrossEntropyWithLogits";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
}