org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3 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.tensorops;
import lombok.val;
import onnx.OnnxProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.util.ArrayUtil;
import org.nd4j.list.compat.TensorList;
import java.util.Map;
public class TensorArrayScatterV3 extends BaseTensorOp {
public TensorArrayScatterV3(String name, SameDiff sameDiff, SDVariable[] args){
super(name, sameDiff, args);
}
public TensorArrayScatterV3(SameDiff sameDiff, SDVariable[] args){
super(null, sameDiff, args);
}
public TensorArrayScatterV3(){}
@Override
public String tensorflowName() {
return "TensorArrayScatterV3";
}
@Override
public TensorList execute(SameDiff sameDiff) {
val list = getList(sameDiff);
INDArray indices = this.getArgumentArray(1);
val source = this.getArgumentArray(2);
if(indices.length() == 1 && indices.getInt(0) == -1){
indices = Nd4j.create(ArrayUtil.toDouble(ArrayUtil.range(0, source.shape()[0])), new long[]{source.shape()[0]});
}
val axis = ArrayUtil.range(1, source.rank());
for (int e = 0; e < indices.length(); e++) {
val cIdx = indices.getInt(e);
val array = source.tensorAlongDimension(cIdx, axis).dup(source.ordering());
list.put(cIdx, array);
}
return list;
}
@Override
public String toString() {
return opName();
}
@Override
public String opName() {
return "tensorarrayscatterv3";
}
@Override
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
}
}