tff.learning.models.BatchOutput | TensorFlow Federated (original) (raw)
tff.learning.models.BatchOutput
A structure that holds the output of a tff.learning.models.VariableModel.
tff.learning.models.BatchOutput(
loss=None, predictions=None, num_examples=None
)
Used in the notebooks
Used in the tutorials |
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Federated Learning for Image Classification |
Attributes | |
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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 2024-09-20 UTC.