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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