mirror of https://github.com/explosion/spaCy.git
Support GPU in UD training script
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@ -254,7 +254,7 @@ def load_nlp(corpus, config):
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nlp.vocab.from_disk(Path(config.vectors) / 'vocab')
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return nlp
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def initialize_pipeline(nlp, docs, golds, config):
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def initialize_pipeline(nlp, docs, golds, config, device):
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nlp.add_pipe(nlp.create_pipe('parser'))
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if config.multitask_tag:
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nlp.parser.add_multitask_objective('tag')
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@ -265,7 +265,7 @@ def initialize_pipeline(nlp, docs, golds, config):
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for tag in gold.tags:
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if tag is not None:
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nlp.tagger.add_label(tag)
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return nlp.begin_training(lambda: golds_to_gold_tuples(docs, golds))
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return nlp.begin_training(lambda: golds_to_gold_tuples(docs, golds), device=device)
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########################
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@ -318,15 +318,14 @@ class TreebankPaths(object):
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"positional", None, str),
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parses_dir=("Directory to write the development parses", "positional", None, Path),
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config=("Path to json formatted config file", "positional"),
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limit=("Size limit", "option", "n", int)
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limit=("Size limit", "option", "n", int),
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use_gpu=("Use GPU", "option", "g", int)
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)
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def main(ud_dir, parses_dir, config, corpus, limit=0):
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def main(ud_dir, parses_dir, config, corpus, limit=0, use_gpu=-1):
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spacy.util.fix_random_seed()
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lang.zh.Chinese.Defaults.use_jieba = False
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lang.ja.Japanese.Defaults.use_janome = False
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random.seed(0)
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numpy.random.seed(0)
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config = Config.load(config)
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paths = TreebankPaths(ud_dir, corpus)
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if not (parses_dir / corpus).exists():
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@ -337,7 +336,7 @@ def main(ud_dir, parses_dir, config, corpus, limit=0):
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docs, golds = read_data(nlp, paths.train.conllu.open(), paths.train.text.open(),
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max_doc_length=config.max_doc_length, limit=limit)
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optimizer = initialize_pipeline(nlp, docs, golds, config)
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optimizer = initialize_pipeline(nlp, docs, golds, config, use_gpu)
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batch_sizes = compounding(config.batch_size//10, config.batch_size, 1.001)
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for i in range(config.nr_epoch):
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