Package ai.djl.translate

Class SimplePaddingStackBatchifier

java.lang.Object

ai.djl.translate.SimplePaddingStackBatchifier

All Implemented Interfaces:

Batchifier, Serializable

public final class SimplePaddingStackBatchifier
extends Object
implements Batchifier

A simpler version of the PaddingStackBatchifier that pads all dimensions rather than specific ones.

See Also:

• Serialized Form

Field Summary

Fields inherited from interface ai.djl.translate.Batchifier

STACK

Constructor Summary

Constructors

Constructor	Description
SimplePaddingStackBatchifier()	A simple Batchifier that pads all arrays to same shape (with padding 0) and then stacks them.
SimplePaddingStackBatchifier(float padding)	A simple Batchifier that pads all arrays to same shape and then stacks them.

Method Summary

Modifier and Type	Method	Description
NDList	batchify(NDList[] inputs)	Converts an array of Record NDLists into a combined Batch NDList.
NDList[]	split(NDList list, int numOfSlices, boolean evenSplit)	Partitions the given Batch NDList into multiple Batch lists with smaller batch size.
NDList[]	unbatchify(NDList inputs)	Splits a combined Batch NDList into it's constituent Record NDLists.

Methods inherited from class java.lang.Object

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

Constructor Details

SimplePaddingStackBatchifier

public SimplePaddingStackBatchifier(float padding)

A simple Batchifier that pads all arrays to same shape and then stacks them.

Parameters:

padding - the number of pad with

SimplePaddingStackBatchifier

public SimplePaddingStackBatchifier()

A simple Batchifier that pads all arrays to same shape (with padding 0) and then stacks them.

Method Details

batchify

public NDList batchify(NDList[] inputs)

Converts an array of Record NDLists into a combined Batch NDList.

The size of the input array is the batch size. The data in each of the NDList are assumed to be the same, and are batched together to form one batched NDList.

Specified by:

batchify in interface Batchifier

Parameters:

inputs - the input array of NDList where each element is a

Returns:

the batchified NDList

unbatchify

public NDList[] unbatchify(NDList inputs)

Splits a combined Batch NDList into it's constituent Record NDLists.

This reverses the batchify operation.

Specified by:

unbatchify in interface Batchifier

Parameters:

inputs - the NDList that needs to be 'unbatchified'

Returns:

an array of NDLists, of size equal to batch size, where each NDList is one element from the batch of inputs

split

public NDList[] split(NDList list,
 int numOfSlices,
 boolean evenSplit)

Partitions the given Batch NDList into multiple Batch lists with smaller batch size.

As an example, this function might be used for multi-GPU training where it takes the main batch and splits it into sub-batches that can be run on each GPU.

This function unbatchifies the input NDList, redistributes them into the given number of slices, and then batchify each of the slices to form an array of NDList.

Specified by:

split in interface Batchifier

Parameters:

list - the NDList that needs to be split

numOfSlices - the number of slices the list must be sliced into

evenSplit - whether each slice must have the same shape

Returns:

an array of NDList that contains all the slices