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Add padding vector in parser, to make gradient more correct

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This commit is contained in:
Matthew Honnibal 2017-11-04 00:23:23 +01:00
parent c2bbf076a4
commit 98c29b7912
1 changed files with 8 additions and 3 deletions
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11
spacy/syntax/nn_parser.pyx
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@ -532,7 +532,9 @@ cdef class Parser:
return None
backprops = []
d_tokvecs = state2vec.ops.allocate(tokvecs.shape)
# Add a padding vector to the d_tokvecs gradient, so that missing
# values don't affect the real gradient.
d_tokvecs = state2vec.ops.allocate((tokvecs.shape[0]+1, tokvecs.shape[1]))
cdef float loss = 0.
n_steps = 0
while todo:
@ -615,7 +617,9 @@ cdef class Parser:
bp_vectors))
else:
backprop_lower.append((ids, d_vector, bp_vectors))
d_tokvecs = self.model[0].ops.allocate(tokvecs.shape)
# Add a padding vector to the d_tokvecs gradient, so that missing
# values don't affect the real gradient.
d_tokvecs = state2vec.ops.allocate((tokvecs.shape[0]+1, tokvecs.shape[1]))
self._make_updates(d_tokvecs, bp_tokvecs, backprop_lower, sgd,
cuda_stream)
@ -668,7 +672,8 @@ cdef class Parser:
(ids.size, d_state_features.shape[2]))
self.model[0].ops.scatter_add(d_tokvecs, ids,
d_state_features)
bp_tokvecs(d_tokvecs, sgd=sgd)
# Padded -- see update()
bp_tokvecs(d_tokvecs[:-1], sgd=sgd)
@property
def move_names(self):