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tff.learning.BatchOutput

A structure that holds the output of a tff.learning.Model.

tff.learning.BatchOutput(
    loss, predictions, num_examples
)

Used in the tutorials
Federated Learning for Image Classification

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.

Attributes

loss

predictions

num_examples

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Last updated 2020-09-11 UTC.