org.nd4j.linalg.api.ops.impl.shape.tensorops.EmbeddingLookup Maven / Gradle / Ivy
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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.
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.shape.tensorops;
import lombok.NoArgsConstructor;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.enums.PartitionMode;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import java.util.Collections;
import java.util.List;
@NoArgsConstructor
public class EmbeddingLookup extends DynamicCustomOp {
public EmbeddingLookup(@NonNull SameDiff sameDiff, @NonNull SDVariable in, @NonNull SDVariable indices, PartitionMode partitionMode) {
super("embedding_lookup", sameDiff, new SDVariable[]{in, indices});
addIArgument(partitionMode.ordinal());
}
public EmbeddingLookup(@NonNull INDArray in, @NonNull INDArray indices, PartitionMode partitionMode, INDArray output) {
super("embedding_lookup", new INDArray[]{in, indices}, wrapOrNull(output));
addIArgument(partitionMode.ordinal());
}
public EmbeddingLookup(@NonNull INDArray in, INDArray output, PartitionMode partitionMode, @NonNull int... indices) {
super("embedding_lookup", new INDArray[]{in, Nd4j.createFromArray(indices)}, wrapOrNull(output));
addIArgument(partitionMode.ordinal());
}
@Override
public String opName() {
return "embedding_lookup";
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
Preconditions
.checkArgument(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes, got %s", dataTypes);
Preconditions.checkArgument(dataTypes.get(0).isFPType(), "Input datatype must be floating point, got %s", dataTypes);
Preconditions.checkArgument(dataTypes.get(1).isIntType(), "Input datatype must be integer point, got %s", dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
}