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define pretrained_dims which is used by build_text_classifier (#5004)

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Sofie Van Landeghem 2020-02-16 17:21:18 +01:00 committed by GitHub
parent 3b22eb651b
commit 72c964bcf4
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spacy/language.py
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@ -608,6 +608,7 @@ class Language(object):
link_vectors_to_models(self.vocab) link_vectors_to_models(self.vocab)
if self.vocab.vectors.data.shape[1]: if self.vocab.vectors.data.shape[1]:
cfg["pretrained_vectors"] = self.vocab.vectors.name cfg["pretrained_vectors"] = self.vocab.vectors.name
cfg['pretrained_dims'] = self.vocab.vectors.data.shape[1]
if sgd is None: if sgd is None:
sgd = create_default_optimizer(Model.ops) sgd = create_default_optimizer(Model.ops)
self._optimizer = sgd self._optimizer = sgd

1
spacy/pipeline/pipes.pyx
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@ -1044,6 +1044,7 @@ class TextCategorizer(Pipe):
self.add_label(cat) self.add_label(cat)
if self.model is True: if self.model is True:
self.cfg["pretrained_vectors"] = kwargs.get("pretrained_vectors") self.cfg["pretrained_vectors"] = kwargs.get("pretrained_vectors")
self.cfg["pretrained_dims"] = kwargs.get("pretrained_dims")
self.require_labels() self.require_labels()
self.model = self.Model(len(self.labels), **self.cfg) self.model = self.Model(len(self.labels), **self.cfg)
link_vectors_to_models(self.vocab) link_vectors_to_models(self.vocab)