org.nd4j.linalg.api.ops.random.impl.Choice Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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.random.impl;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.OpContext;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import java.util.Arrays;
import java.util.List;
public class Choice extends BaseRandomOp {
public Choice() {
// no-op
}
public Choice(@NonNull INDArray source, @NonNull INDArray probabilities, @NonNull INDArray z) {
super(source, probabilities, z);
Preconditions.checkArgument(source.dataType() == probabilities.dataType() && z.dataType() == source.dataType(), "Data types of all arguments should match");
Preconditions.checkState(source.length() == probabilities.length(), "From & probabilities length mismatch: %s vs. %s",
source.length(), probabilities.length());
if (probabilities.elementWiseStride() < 1 || source.elementWiseStride() < 1)
throw new IllegalStateException("Source and probabilities should have element-wise stride >= 1");
this.extraArgs = new Object[] {0.0};
}
@Override
public int opNum() {
return 5;
}
@Override
public String opName() {
return "choice";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public List calculateOutputShape(OpContext oc) {
return calculateOutputShape();
}
@Override
public List calculateOutputShape() {
LongShapeDescriptor longShapeDescriptor = LongShapeDescriptor.fromShape(shape,dataType);
return Arrays.asList(longShapeDescriptor);
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Choice does not have a derivative");
}
}