Package ai.djl.basicdataset.utils

Class FixedBucketSampler

java.lang.Object

ai.djl.basicdataset.utils.FixedBucketSampler

All Implemented Interfaces:

ai.djl.training.dataset.Sampler

public class FixedBucketSampler
extends Object
implements ai.djl.training.dataset.Sampler

FixedBucketSampler is a Sampler to be used with TextDataset, and PaddingStackBatchifier. It groups text data of same length, and samples them together so that the amount of padding required is minimised. It also makes sure that the sampling is random across epochs.

Nested Class Summary

Nested classes/interfaces inherited from interface ai.djl.training.dataset.Sampler

ai.djl.training.dataset.Sampler.SubSampler

Constructor Summary

Constructors

Constructor	Description
FixedBucketSampler(int batchSize)	Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.
FixedBucketSampler(int batchSize, int numBuckets)	Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.
FixedBucketSampler(int batchSize, int numBuckets, boolean shuffle)	Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.

Method Summary

Modifier and Type	Method	Description
int	getBatchSize()
Iterator<List<Long>>	sample(ai.djl.training.dataset.RandomAccessDataset dataset)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

FixedBucketSampler

public FixedBucketSampler(int batchSize,
 int numBuckets,
 boolean shuffle)

Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.

Parameters:

batchSize - the batch size

numBuckets - the number of buckets

shuffle - whether to shuffle data randomly while sampling

FixedBucketSampler

public FixedBucketSampler(int batchSize,
 int numBuckets)

Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.

Parameters:

batchSize - the batch size

numBuckets - the number of buckets

FixedBucketSampler

public FixedBucketSampler(int batchSize)

Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.

Parameters:

batchSize - the batch size

Method Details

sample

public Iterator<List<Long>> sample(ai.djl.training.dataset.RandomAccessDataset dataset)

Specified by:

sample in interface ai.djl.training.dataset.Sampler

getBatchSize

public int getBatchSize()

Specified by:

getBatchSize in interface ai.djl.training.dataset.Sampler