hasdata

Determine if minibatchqueue can return a mini-batch

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    Syntax

    tf = hasdata(mbq)

    Description

    example

    tf = hasdata(mbq) returns 1 (true) if mbq can return a mini-batch using the next function, and 0 (false) otherwise.

    Use hasdata in combination with next to iterate over all data in the minibatchqueue. You can call next on a minibatchqueue until all data is returned. If there are still mini-batches of data available in the minibatchqueue, hasdata returns 1. When you reach the end of the data, hasdata returns 0. Then, use reset or shuffle to reset the minibatchqueue and continue obtaining mini-batches with next.

    Examples

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    Use hasdata with a while loop to iterate over all data in the minibatchqueue.

    Create a minibatchqueue from a datastore.

    ds = digitDatastore;
mbq = minibatchqueue(ds,'MinibatchSize',256)
    mbq = 
minibatchqueue with 1 output and properties:

   Mini-batch creation:
           MiniBatchSize: 256
        PartialMiniBatch: 'return'
            MiniBatchFcn: 'collate'
    DispatchInBackground: 0

   Outputs:
              OutputCast: {'single'}
         OutputAsDlarray: 1
         MiniBatchFormat: {''}
       OutputEnvironment: {'auto'}

    While there is still data available in the minibatchqueue, obtain the next mini-batch.

    while hasdata(mbq)
    X = next(mbq)
end

    The loop ends when hasdata returns false, and all mini-batches have been returned.

    Input Arguments

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    Queue of mini-batches, specified as a minibatchqueue object.

    Output Arguments

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    True or false result, returned as a 1 or 0 of data type logical.

    See Also

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    Topics

    Introduced in R2020b

    Deep Learning Toolbox Documentation

    Support