org.nd4j.linalg.api.ops.random.impl.Choice Maven / Gradle / Ivy
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* 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.random.impl;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import java.util.List;
/**
* This Op implements numpy.choice method
* It fills Z from source, following probabilities for each source element
*
* @author [email protected]
*/
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 doDiff(List f1) {
return null;
}
}