explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-12-26 09:56:28 +03:00
Code Issues Packages Projects Releases Wiki Activity

Support bilstm_depth option in parser

Browse Source
This commit is contained in:
Matthew Honnibal 2018-09-13 19:29:49 +02:00
parent 45032fe9e1
commit b43643a953
1 changed files with 4 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
spacy/syntax/nn_parser.pyx
View File

@ -58,6 +58,7 @@ cdef class Parser:
subword_features = util.env_opt('subword_features',
cfg.get('subword_features', True))
conv_depth = util.env_opt('conv_depth', cfg.get('conv_depth', 4))
bilstm_depth = util.env_opt('bilstm_depth', cfg.get('bilstm_depth', 0))
if depth != 1:
raise ValueError(TempErrors.T004.format(value=depth))
parser_maxout_pieces = util.env_opt('parser_maxout_pieces',
@ -70,7 +71,8 @@ cdef class Parser:
tok2vec = Tok2Vec(token_vector_width, embed_size,
conv_depth=conv_depth,
subword_features=subword_features,
pretrained_vectors=pretrained_vectors)
pretrained_vectors=pretrained_vectors,
bilstm_depth=bilstm_depth)
tok2vec = chain(tok2vec, flatten)
lower = PrecomputableAffine(hidden_width,
nF=cls.nr_feature, nI=token_vector_width,
@ -87,6 +89,7 @@ cdef class Parser:
'hidden_width': hidden_width,
'maxout_pieces': parser_maxout_pieces,
'pretrained_vectors': pretrained_vectors,
'bilstm_depth': bilstm_depth
}
return ParserModel(tok2vec, lower, upper), cfg