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Restore support for deeper networks in parser
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e27262f431
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@ -336,9 +336,25 @@ cdef class Parser:
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feat_weights = state2vec.get_feat_weights()
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cdef int i
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cdef np.ndarray token_ids = numpy.zeros((nr_state, nr_feat), dtype='i')
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cdef np.ndarray is_valid = numpy.zeros((nr_state, nr_feat), dtype='i')
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cdef np.ndarray scores
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c_token_ids = <int*>token_ids.data
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c_is_valid = <int*>is_valid.data
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while not next_step.empty():
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for i in cython.parallel.prange(next_step.size(), num_threads=4, nogil=True):
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self._parse_step(next_step[i], feat_weights, nr_class, nr_feat)
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for i in range(next_step.size()):
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st = next_step[i]
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st.set_context_tokens(&c_token_ids[i*nr_feat], nr_feat)
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self.moves.set_valid(&c_is_valid[i*nr_class], st)
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vectors = state2vec.begin_update(token_ids[:next_step.size()])
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scores = vec2scores(vectors)
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c_scores = <float*>scores.data
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for i in range(next_step.size()):
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st = next_step[i]
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guess = arg_max_if_valid(
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&c_scores[i*nr_class], &c_is_valid[i*nr_class], nr_class)
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action = self.moves.c[guess]
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action.do(st, action.label)
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this_step, next_step = next_step, this_step
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next_step.clear()
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for st in this_step:
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@ -349,6 +365,9 @@ cdef class Parser:
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cdef void _parse_step(self, StateC* state,
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const float* feat_weights,
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int nr_class, int nr_feat) nogil:
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'''This only works with no hidden layers -- fast but inaccurate'''
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#for i in cython.parallel.prange(next_step.size(), num_threads=4, nogil=True):
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# self._parse_step(next_step[i], feat_weights, nr_class, nr_feat)
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token_ids = <int*>calloc(nr_feat, sizeof(int))
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scores = <float*>calloc(nr_class, sizeof(float))
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is_valid = <int*>calloc(nr_class, sizeof(int))
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