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* * 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
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms.custom;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
import java.util.Collections;
import java.util.List;
public class ShiftBits extends BaseDynamicTransformOp {
public ShiftBits(SameDiff sameDiff, SDVariable x, SDVariable y) {
super(sameDiff, new SDVariable[] {x, y} ,false);
}
public ShiftBits(INDArray x, INDArray y, INDArray output) {
super(new INDArray[]{x, y}, new INDArray[]{output});
}
public ShiftBits(INDArray x, INDArray y) {
this(x, y,x.ulike());
}
public ShiftBits() {}
@Override
public String opName() {
return "shift_bits";
}
@Override
public String tensorflowName() {
return "LeftShift";
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException("Not yet implemented: " + opName());
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes.get(0).isIntType(), "Input 0 datatype must be a integer type, got %s", dataTypes.get(0));
return Collections.singletonList(dataTypes.get(0));
}
}