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tfa.seq2seq.hardmax
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Returns batched one-hot vectors.
tfa.seq2seq.hardmax(
logits: tfa.types.TensorLike,
name: Optional[str] = None
) -> tf.Tensor
The depth index containing the 1 is that of the maximum logit value.
Args |
|---|
logits
|
A batch tensor of logit values.
|
name
|
Name to use when creating ops.
|
Returns |
|---|
|
A batched one-hot tensor.
|
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Last updated 2023-05-25 UTC.
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