ai.djl.nn.core.ConstantEmbedding Maven / Gradle / Ivy
/*
* Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file 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.
*/
package ai.djl.nn.core;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDList;
import ai.djl.ndarray.NDManager;
import ai.djl.ndarray.types.Shape;
import ai.djl.nn.AbstractBlock;
import ai.djl.training.ParameterStore;
import ai.djl.util.PairList;
import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.util.Optional;
/** An {@link AbstractIndexedEmbedding} that always returns a constant value. */
@SuppressWarnings("rawtypes")
public class ConstantEmbedding extends AbstractBlock implements AbstractIndexedEmbedding {
protected NDArray embedding;
/**
* Constructs a constant embedding with the given constant.
*
* The constant is assumed to be a fixed value, and starts out as frozen. To unfreeze, use
* {@link ai.djl.nn.Block#freezeParameters(boolean)}.
*
* @param embedding the value to return for all embeddings
*/
public ConstantEmbedding(NDArray embedding) {
this.embedding = embedding;
freezeParameters(true);
}
/** {@inheritDoc} */
@Override
protected NDList forwardInternal(
ParameterStore parameterStore,
NDList inputs,
boolean training,
PairList params) {
NDManager manager = inputs.get(0).getManager();
NDArray base = manager.create(embedding.getShape());
embedding.copyTo(base);
Shape shape = inputs.get(0).getShape().addAll(embedding.getShape());
return new NDList(base.repeat(shape));
}
/** {@inheritDoc} */
@Override
public Shape[] getOutputShapes(Shape[] inputShapes) {
return new Shape[] {inputShapes[0].addAll(embedding.getShape())};
}
/** {@inheritDoc} */
@Override
public void saveParameters(DataOutputStream os) {
// Nothing to save
}
/** {@inheritDoc} */
@Override
public void loadParameters(NDManager manager, DataInputStream is) {
// Nothing to load
}
/** {@inheritDoc} */
@Override
public Optional unembed(long index) {
return Optional.empty();
}
/** {@inheritDoc} */
@Override
public byte[] encode(Object input) {
return new byte[0];
}
/** {@inheritDoc} */
@Override
public Object decode(byte[] byteArray) {
return null;
}
/** {@inheritDoc} */
@Override
public long embed(Object item) {
return 0;
}
/** {@inheritDoc} */
@Override
public NDArray embed(NDManager manager, Object[] items) {
NDArray base = manager.create(embedding.getShape());
embedding.copyTo(base);
Shape shape = new Shape(items.length).addAll(embedding.getShape());
return base.repeat(shape);
}
/** {@inheritDoc} */
@Override
public boolean hasItem(Object item) {
return true;
}
}