ai.djl.translate.SimplePaddingStackBatchifier Maven / Gradle / Ivy
/*
* Copyright 2023 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.translate;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDList;
import ai.djl.ndarray.NDManager;
/**
* A simpler version of the {@link PaddingStackBatchifier} that pads all dimensions rather than
* specific ones.
*/
public final class SimplePaddingStackBatchifier implements Batchifier {
private static final long serialVersionUID = 1L;
private float padding;
/**
* A simple {@link Batchifier} that pads all arrays to same shape and then stacks them.
*
* @param padding the number of pad with
*/
public SimplePaddingStackBatchifier(float padding) {
this.padding = padding;
}
/**
* A simple {@link Batchifier} that pads all arrays to same shape (with padding 0) and then
* stacks them.
*/
public SimplePaddingStackBatchifier() {
this(0f);
}
/** {@inheritDoc} */
@Override
public NDList batchify(NDList[] inputs) {
int numArrays = inputs[0].size();
for (int i = 0; i < numArrays; i++) {
int axes = inputs[0].get(i).getShape().dimension();
for (int j = 0; j < axes; j++) {
long maxSize = PaddingStackBatchifier.findMaxSize(inputs, i, j);
NDManager manager = inputs[0].getManager();
NDArray padArray = manager.create(padding);
PaddingStackBatchifier.padArrays(inputs, i, j, padArray, maxSize);
}
}
return Batchifier.STACK.batchify(inputs);
}
/** {@inheritDoc} */
@Override
public NDList[] unbatchify(NDList inputs) {
return Batchifier.STACK.unbatchify(inputs);
}
/** {@inheritDoc} */
@Override
public NDList[] split(NDList list, int numOfSlices, boolean evenSplit) {
return Batchifier.STACK.split(list, numOfSlices, evenSplit);
}
}