Add option to use gpu to spacy train
@@ -83,18 +83,20 @@ class CLI(object):
n_iter=("number of iterations", "option", "n", int),
nsents=("number of sentences", "option", None, int),
parser_L1=("L1 regularization penalty for parser", "option", "L", float),
+ use_gpu=("Use GPU", "flag", "g", bool),
no_tagger=("Don't train tagger", "flag", "T", bool),
no_parser=("Don't train parser", "flag", "P", bool),
no_ner=("Don't train NER", "flag", "N", bool)
)
def train(self, lang, output_dir, train_data, dev_data=None, n_iter=15,
- nsents=0, parser_L1=0.0, no_tagger=False, no_parser=False, no_ner=False):
+ nsents=0, parser_L1=0.0, use_gpu=False,
+ no_tagger=False, no_parser=False, no_ner=False):
"""
Train a model. Expects data in spaCy's JSON format.
"""
nsents = nsents or None
- cli_train(lang, output_dir, train_data, dev_data, n_iter, nsents, not no_tagger,
- not no_parser, not no_ner, parser_L1)
+ cli_train(lang, output_dir, train_data, dev_data, n_iter, nsents,
+ use_gpu, not no_tagger, not no_parser, not no_ner, parser_L1)
@plac.annotations(
lang=("model language", "positional", None, str),
