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tff.learning.BatchOutput

A structure that holds the output of a tff.learning.models.VariableModel.

Main aliases

`tff.learning.models.BatchOutput`

tff.learning.BatchOutput(
    loss=None, predictions=None, num_examples=None
)

Used in the tutorials
Federated Learning for Image Classification

Attributes
`loss`	The scalar mean loss on the examples in the batch. If the model has multiple losses, it is the sum of all the individual losses.
`predictions`	Tensor of predictions on the examples. The first dimension must be the same size (the size of the batch).
`num_examples`	Number of examples seen in the batch.

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Last updated 2023-03-17 UTC.

Attributes