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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.shape;
import lombok.NoArgsConstructor;
import lombok.val;
import onnx.OnnxMlProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
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.*;
/**
* Created by farizrahman4u on 3/28/18.
*/
@NoArgsConstructor
public class SequenceMask extends DynamicCustomOp {
private int maxLen;
private boolean is_static_maxlen = false;
public SequenceMask(SameDiff sameDiff, SDVariable input, SDVariable maxLen) {
super(null, sameDiff, new SDVariable[] {input, maxLen}, false);
}
public SequenceMask(SameDiff sameDiff, SDVariable input, int maxLen) {
super(null, sameDiff, new SDVariable[] {input}, false);
this.maxLen = maxLen;
this.is_static_maxlen = true;
addIArgument(maxLen);
}
public SequenceMask(SameDiff sameDiff, SDVariable input) {
super(null, sameDiff, new SDVariable[] {input}, false);
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
val targetNode = TFGraphMapper.getInstance().getNodeWithNameFromGraph(graph, nodeDef.getInput(1));
val maxlen = TFGraphMapper.getInstance().getNDArrayFromTensor("value", targetNode, graph);
if (maxlen == null){
// No 2nd input
this.is_static_maxlen = true;
}
TFGraphMapper.getInstance().initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
if (is_static_maxlen) {
addIArgument(this.maxLen);
}
}
@Override
public Map> mappingsForFunction() {
Map> ret = new HashMap<>();
Map attrs = new LinkedHashMap<>();
if (is_static_maxlen) {
val maxLen = PropertyMapping.builder()
.propertyNames(new String[]{"maxLen"})
.tfAttrName("maxlen")
.build();
attrs.put("maxLen", maxLen);
}
ret.put(tensorflowName(), attrs);
return ret;
}
@Override
public String opName() {
return "sequence_mask";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx opName found for " + opName());
}
@Override
public String tensorflowName() {
return "SequenceMask";
}
@Override
public List doDiff(List grad){
//Input is integer indices
return Collections.singletonList(f().zerosLike(arg()));
}
}