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Transformer toolkit updates #5270
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AkshitaB
suggested changes
Jun 17, 2021
| super().__init__(hidden_size, intermediate_size, activation, pool=True) | ||
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| @classmethod | ||
| def _get_input_arguments( |
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We don't require this method any longer. from_config takes care of what we need.
AkshitaB
approved these changes
Jun 18, 2021
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This is spun out of some of the Tango stuff.
From the changelog:
TransformerEmbeddingsnow takes, but ignores, a parameter for the attention mask. This is needed for compatibility with some other modules that get called the same way and use the mask.TransformerPoolercan now be instantiated from a pretrained transformer module, just like the other modules in the transformer toolkit.