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Cleanup states after beam parsing, explicitly

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This commit is contained in:
Matthew Honnibal 2017-11-13 18:18:26 +01:00
parent 63ef9a2e73
commit ca73d0d8fe
1 changed files with 7 additions and 1 deletions
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8
spacy/syntax/nn_parser.pyx
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@ -374,6 +374,8 @@ cdef class Parser:
parse_states.append(<StateClass>beam.at(0))
self.set_annotations(subbatch, parse_states, tensors=tokvecs)
yield from batch
for beam in beams:
_cleanup(beam)
def parse_batch(self, docs):
cdef:
@ -609,7 +611,7 @@ cdef class Parser:
cuda_stream = util.get_cuda_stream()
(tokvecs, bp_tokvecs), state2vec, vec2scores = self.get_batch_model(
docs, cuda_stream, drop)
states_d_scores, backprops = _beam_utils.update_beam(
states_d_scores, backprops, beams = _beam_utils.update_beam(
self.moves, self.nr_feature, 500, states, golds, state2vec,
vec2scores, width, density, self.cfg.get('hist_size', 0),
drop=drop, losses=losses)
@ -634,6 +636,10 @@ cdef class Parser:
d_tokvecs = state2vec.ops.allocate((tokvecs.shape[0]+1, tokvecs.shape[1]))
self._make_updates(d_tokvecs, bp_tokvecs, backprop_lower, sgd,
cuda_stream)
cdef Beam beam
for beam in beams:
_cleanup(beam)
def _init_gold_batch(self, whole_docs, whole_golds):
"""Make a square batch, of length equal to the shortest doc. A long