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Fix model loading when using multitask objectives
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@ -892,12 +892,10 @@ cdef class DependencyParser(Parser):
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self._multitasks.append(labeller)
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def init_multitask_objectives(self, gold_tuples, pipeline, sgd=None, **cfg):
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self.add_multitask_objective('tag')
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for labeller in self._multitasks:
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tok2vec = self.model[0]
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labeller.begin_training(gold_tuples, pipeline=pipeline,
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tok2vec=tok2vec, sgd=sgd)
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pipeline.append((labeller.name, labeller))
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def __reduce__(self):
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return (DependencyParser, (self.vocab, self.moves, self.model),
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@ -919,7 +917,6 @@ cdef class EntityRecognizer(Parser):
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tok2vec = self.model[0]
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labeller.begin_training(gold_tuples, pipeline=pipeline,
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tok2vec=tok2vec)
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pipeline.append((labeller.name, labeller))
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def __reduce__(self):
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return (EntityRecognizer, (self.vocab, self.moves, self.model),
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@ -605,6 +605,8 @@ cdef class Parser:
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break
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self._make_updates(d_tokvecs,
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bp_tokvecs, backprops, sgd, cuda_stream)
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for multitask in self._multitasks:
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multitask.update(docs, golds, drop=drop, sgd=sgd)
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def update_beam(self, docs, golds, width=None, density=None,
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drop=0., sgd=None, losses=None):
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