mirror of https://github.com/explosion/spaCy.git
Fix serialization of tag_map in NeuralTagger
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acc47e2673
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@ -11,6 +11,7 @@ import cytoolz
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import util
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from collections import OrderedDict
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import ujson
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import msgpack
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from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
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from thinc.neural import Model, Maxout, Softmax, Affine
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@ -301,7 +302,8 @@ class NeuralTagger(object):
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def to_bytes(self, **exclude):
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serialize = OrderedDict((
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('model', lambda: self.model.to_bytes()),
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('vocab', lambda: self.vocab.to_bytes())
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('vocab', lambda: self.vocab.to_bytes()),
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('tag_map', lambda: msgpack.dumps(self.vocab.morphology.tag_map))
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))
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return util.to_bytes(serialize, exclude)
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@ -311,8 +313,15 @@ class NeuralTagger(object):
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token_vector_width = util.env_opt('token_vector_width', 128)
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self.model = self.Model(self.vocab.morphology.n_tags, token_vector_width)
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self.model.from_bytes(b)
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def load_tag_map(b):
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tag_map = msgpack.loads(b)
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self.vocab.morphology = Morphology(
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self.vocab.strings, tag_map=tag_map,
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lemmatizer=self.vocab.morphology.lemmatizer)
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deserialize = OrderedDict((
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('vocab', lambda b: self.vocab.from_bytes(b)),
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('tag_map', load_tag_map),
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('model', lambda b: load_model(b)),
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))
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util.from_bytes(bytes_data, deserialize, exclude)
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@ -321,7 +330,7 @@ class NeuralTagger(object):
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def to_disk(self, path, **exclude):
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serialize = OrderedDict((
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('vocab', lambda p: self.vocab.to_disk(p)),
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('tag_map', lambda p: p.open('w').write(json_dumps(
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('tag_map', lambda p: p.open('w').write(msgpack.dumps(
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self.vocab.morphology.tag_map))),
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('model', lambda p: p.open('wb').write(self.model.to_bytes())),
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))
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@ -336,7 +345,7 @@ class NeuralTagger(object):
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def load_tag_map(p):
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with p.open() as file_:
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tag_map = ujson.loads(file_.read())
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tag_map = msgpack.loads(file_.read())
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self.vocab.morphology = Morphology(
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self.vocab.strings, tag_map=tag_map,
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lemmatizer=self.vocab.morphology.lemmatizer)
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