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Fix misalignment caued by filtering inputs at wrong point in parser
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78a5f842e9
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@ -483,8 +483,7 @@ cdef class Parser:
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return beams
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def update(self, docs_tokvecs, golds, drop=0., sgd=None, losses=None):
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docs_tokvecs, golds = self._filter_unlabelled(docs_tokvecs, golds)
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if not golds:
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if not any(self.moves.has_gold(gold) for gold in golds):
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return None
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if self.cfg.get('beam_width', 1) >= 2 and numpy.random.random() >= 0.5:
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return self.update_beam(docs_tokvecs, golds,
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@ -558,7 +557,8 @@ cdef class Parser:
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def update_beam(self, docs_tokvecs, golds, width=None, density=None,
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drop=0., sgd=None, losses=None):
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docs_tokvecs, golds = self._filter_unlabelled(docs_tokvecs, golds)
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if not any(self.moves.has_gold(gold) for gold in golds):
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return None
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if not golds:
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return None
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if width is None:
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@ -611,15 +611,6 @@ cdef class Parser:
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bp_my_tokvecs(d_tokvecs, sgd=sgd)
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return d_tokvecs
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def _filter_unlabelled(self, docs_tokvecs, golds):
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'''Remove inputs that have no relevant labels before update'''
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has_golds = [self.moves.has_gold(gold) for gold in golds]
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docs, tokvecs = docs_tokvecs
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docs = [docs[i] for i, has_gold in enumerate(has_golds) if has_gold]
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tokvecs = [tokvecs[i] for i, has_gold in enumerate(has_golds) if has_gold]
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golds = [golds[i] for i, has_gold in enumerate(has_golds) if has_gold]
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return (docs, tokvecs), golds
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def _init_gold_batch(self, whole_docs, whole_golds):
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"""Make a square batch, of length equal to the shortest doc. A long
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doc will get multiple states. Let's say we have a doc of length 2*N,
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