mirror of https://github.com/explosion/spaCy.git
Merge pull request #5514 from adrianeboyd/bugfix/load-vector-name
Improve vector name loading from model meta
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commit
e7ac12b598
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@ -934,15 +934,26 @@ class Language(object):
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DOCS: https://spacy.io/api/language#from_disk
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"""
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def deserialize_meta(path):
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if path.exists():
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data = srsly.read_json(path)
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self.meta.update(data)
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# self.meta always overrides meta["vectors"] with the metadata
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# from self.vocab.vectors, so set the name directly
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self.vocab.vectors.name = data.get("vectors", {}).get("name")
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def deserialize_vocab(path):
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if path.exists():
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self.vocab.from_disk(path)
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_fix_pretrained_vectors_name(self)
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if disable is not None:
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warnings.warn(Warnings.W014, DeprecationWarning)
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exclude = disable
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path = util.ensure_path(path)
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deserializers = OrderedDict()
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deserializers["meta.json"] = lambda p: self.meta.update(srsly.read_json(p))
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deserializers["vocab"] = lambda p: self.vocab.from_disk(
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p
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) and _fix_pretrained_vectors_name(self)
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deserializers["meta.json"] = deserialize_meta
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deserializers["vocab"] = deserialize_vocab
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deserializers["tokenizer"] = lambda p: self.tokenizer.from_disk(
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p, exclude=["vocab"]
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)
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@ -996,14 +1007,23 @@ class Language(object):
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DOCS: https://spacy.io/api/language#from_bytes
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"""
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def deserialize_meta(b):
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data = srsly.json_loads(b)
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self.meta.update(data)
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# self.meta always overrides meta["vectors"] with the metadata
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# from self.vocab.vectors, so set the name directly
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self.vocab.vectors.name = data.get("vectors", {}).get("name")
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def deserialize_vocab(b):
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self.vocab.from_bytes(b)
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_fix_pretrained_vectors_name(self)
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if disable is not None:
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warnings.warn(Warnings.W014, DeprecationWarning)
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exclude = disable
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deserializers = OrderedDict()
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deserializers["meta.json"] = lambda b: self.meta.update(srsly.json_loads(b))
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deserializers["vocab"] = lambda b: self.vocab.from_bytes(
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b
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) and _fix_pretrained_vectors_name(self)
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deserializers["meta.json"] = deserialize_meta
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deserializers["vocab"] = deserialize_vocab
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deserializers["tokenizer"] = lambda b: self.tokenizer.from_bytes(
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b, exclude=["vocab"]
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)
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@ -1069,7 +1089,7 @@ class component(object):
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def _fix_pretrained_vectors_name(nlp):
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# TODO: Replace this once we handle vectors consistently as static
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# data
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if "vectors" in nlp.meta and nlp.meta["vectors"].get("name"):
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if "vectors" in nlp.meta and "name" in nlp.meta["vectors"]:
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nlp.vocab.vectors.name = nlp.meta["vectors"]["name"]
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elif not nlp.vocab.vectors.size:
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nlp.vocab.vectors.name = None
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