org.nd4j.linalg.api.ops.impl.shape.Slice Maven / Gradle / Ivy
/*******************************************************************************
* 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.NonNull;
import lombok.extern.slf4j.Slf4j;
import lombok.val;
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.nd4j.linalg.exception.ND4JIllegalStateException;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.*;
/**
* Slice function
*
* @author Adam Gibson
*/
@Slf4j
public class Slice extends DynamicCustomOp {
private int[] begin;
private int[] size;
public Slice() {}
public Slice(SameDiff sameDiff, @NonNull SDVariable input, @NonNull int[] begin, @NonNull int[] size){
super(null, sameDiff, new SDVariable[]{input});
this.begin = begin;
this.size = size;
addIArgument(begin);
addIArgument(size);
}
@Override
public String opName() {
return "slice";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx opName found for " + opName());
}
@Override
public String tensorflowName() {
return "Slice";
}
@Override
public void assertValidForExecution() {
if(numInputArguments() != 1 && numInputArguments() != 3 && numInputArguments() != 4) {
throw new ND4JIllegalStateException("Num input arguments must be 1 3 or 4.");
}
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
/*
strided slice typically takes 4 tensor arguments:
0) input, it's shape determines number of elements in other arguments
1) begin indices
2) end indices
3) strides
*/
val inputBegin = nodeDef.getInput(1);
val inputEnd = nodeDef.getInput(2);
NodeDef beginNode = null;
NodeDef endNode = null;
for(int i = 0; i < graph.getNodeCount(); i++) {
if(graph.getNode(i).getName().equals(inputBegin)) {
beginNode = graph.getNode(i);
}
if(graph.getNode(i).getName().equals(inputEnd)) {
endNode = graph.getNode(i);
}
}
val beginArr = TFGraphMapper.getInstance().getNDArrayFromTensor("value",beginNode,graph);
val endArr = TFGraphMapper.getInstance().getNDArrayFromTensor("value",endNode,graph);
if (beginArr != null && endArr != null) {
for (int e = 0; e < beginArr.length(); e++)
addIArgument(beginArr.getInt(e));
for (int e = 0; e < endArr.length(); e++)
addIArgument(endArr.getInt(e));
} else {
// do nothing
}
}
@Override
public Map> mappingsForFunction() {
Map> ret = new HashMap<>();
Map map = new HashMap<>();
val beginMapping = PropertyMapping.builder()
.tfInputPosition(1)
.propertyNames(new String[]{"begin"})
.build();
val size = PropertyMapping.builder()
.tfInputPosition(2)
.propertyNames(new String[]{"size"})
.build();
map.put("begin",beginMapping);
map.put("size",size);
ret.put(tensorflowName(),map);
return ret;
}
@Override
public List doDiff(List grad) {
return Collections.singletonList(f().sliceBp(arg(), grad.get(0), begin, size));
}
}