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Description
enforce_max_size
function incorrectly overwrote an internal TokenEmbedding datastructure, breaking the use ofunknown_token
's embedding for'<pad>'
. When this script was written, modifying TokenEmbedding's internals was required. Based on #750 we can now use proper API to make the required changes.In general however,
vocab = nlp.Vocab(nlp.data.count_tokens(tokens))
can be replaced with vocab =nlp.Vocab(nlp.data.count_tokens(tokens), unknown_token=token_embedding_.unknown_token, padding_token=None, bos_token=None, eos_token=None)
. I'm opening a PR for these two changes.Unfortunately this error slipped through the tests. I'm also extending the testcase.
Fixes #905
Checklist
Essentials
Changes
word_embeddings/evaluate_pretrained.py
script when--analogy-max-vocab-size
is used