tfm.nlp.layers.get_mask

Gets a 3D self-attention mask.

tfm.nlp.layers.get_mask(
    inputs: tf.Tensor, to_mask: tf.Tensor, dtype: Optional[tf.DType] = None
) -> tf.Tensor

Args
`inputs`	from_tensor: 2D or 3D Tensor of shape [batch_size, from_seq_length, ...].
`to_mask`	int32 Tensor of shape [batch_size, to_seq_length].
`dtype`	the output Tensor dtype.

Returns
float Tensor of shape [batch_size, from_seq_length, to_seq_length].

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-02-02 UTC.

Args