org.nd4j.linalg.api.ops.impl.shape.SequenceMask Maven / Gradle / Ivy
The newest version!
/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.NonNull;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
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.*;
@NoArgsConstructor
public class SequenceMask extends DynamicCustomOp {
public static final DataType DEFAULT_DTYPE = DataType.BOOL;
private int maxLen;
private boolean is_static_maxlen = false;
private DataType dataType;
public SequenceMask(SameDiff sameDiff, SDVariable input, SDVariable maxLen, DataType dataType) {
super(null, sameDiff, new SDVariable[] {input, maxLen}, false);
this.dataType = dataType;
addDArgument(dataType);
}
public SequenceMask(SameDiff sameDiff, SDVariable input, int maxLen, DataType dataType) {
super(null, sameDiff, new SDVariable[] {input}, false);
this.maxLen = maxLen;
this.is_static_maxlen = true;
addIArgument(maxLen);
this.dataType = dataType;
addDArgument(dataType);
}
public SequenceMask(SameDiff sameDiff, SDVariable input, DataType dataType) {
super(null, sameDiff, new SDVariable[] {input}, false);
this.dataType = dataType;
addDArgument(dataType);
}
public SequenceMask(@NonNull INDArray input, int maxLen, DataType dataType) {
addInputArgument(input);
addIArgument(maxLen);
this.dataType = dataType;
addDArgument(dataType);
}
public SequenceMask(@NonNull INDArray input, @NonNull DataType dataType) {
this(input, null, dataType);
}
public SequenceMask(@NonNull INDArray input, INDArray maxLength, @NonNull DataType dataType) {
super(wrapFilterNull(input, maxLength), null);
this.dataType = dataType;
addDArgument(dataType);
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
val targetNode = TFGraphMapper.getNodeWithNameFromGraph(graph, nodeDef.getInput(1));
val maxlen = TFGraphMapper.getNDArrayFromTensor(targetNode);
if (maxlen == null){
// No 2nd input
this.is_static_maxlen = true;
}
TFGraphMapper.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 List doDiff(List grad){
//Input is integer indices
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
@Override
public List calculateOutputDataTypes(List dataTypes){
SDVariable[] args = args();
Preconditions.checkState(dataTypes.size() == args.length, "Expected list with exactly %s datatypes for %s, got %s", args.length, getClass(), dataTypes);
//Output type is same as input by default
return Collections.singletonList(dataType == null ? DEFAULT_DTYPE : dataType);
}
}