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Fix whitespace
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b5de768852
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@ -253,7 +253,7 @@ cdef class Parser:
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hist_width = util.env_opt('history_width', cfg.get('hist_width', 0))
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hist_width = util.env_opt('history_width', cfg.get('hist_width', 0))
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if hist_size != 0:
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if hist_size != 0:
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raise ValueError("Currently history size is hard-coded to 0")
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raise ValueError("Currently history size is hard-coded to 0")
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if hist_width != 0:
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if hist_width != 0:
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raise ValueError("Currently history width is hard-coded to 0")
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raise ValueError("Currently history width is hard-coded to 0")
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tok2vec = Tok2Vec(token_vector_width, embed_size,
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tok2vec = Tok2Vec(token_vector_width, embed_size,
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pretrained_dims=cfg.get('pretrained_dims', 0))
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pretrained_dims=cfg.get('pretrained_dims', 0))
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@ -413,7 +413,7 @@ cdef class Parser:
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for stcls in state_objs:
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for stcls in state_objs:
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if not stcls.c.is_final():
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if not stcls.c.is_final():
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states.push_back(stcls.c)
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states.push_back(stcls.c)
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feat_weights = state2vec.get_feat_weights()
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feat_weights = state2vec.get_feat_weights()
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cdef int i
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cdef int i
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cdef np.ndarray hidden_weights = numpy.ascontiguousarray(vec2scores._layers[-1].W.T)
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cdef np.ndarray hidden_weights = numpy.ascontiguousarray(vec2scores._layers[-1].W.T)
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@ -432,7 +432,7 @@ cdef class Parser:
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PyErr_CheckSignals()
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PyErr_CheckSignals()
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return state_objs
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return state_objs
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cdef void _parseC(self, StateC* state,
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cdef void _parseC(self, StateC* state,
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const float* feat_weights, const float* hW, const float* hb,
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const float* feat_weights, const float* hW, const float* hb,
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int nr_class, int nr_hidden, int nr_feat, int nr_piece) nogil:
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int nr_class, int nr_hidden, int nr_feat, int nr_piece) nogil:
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token_ids = <int*>calloc(nr_feat, sizeof(int))
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token_ids = <int*>calloc(nr_feat, sizeof(int))
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@ -443,7 +443,7 @@ cdef class Parser:
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with gil:
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with gil:
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PyErr_SetFromErrno(MemoryError)
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PyErr_SetFromErrno(MemoryError)
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PyErr_CheckSignals()
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PyErr_CheckSignals()
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while not state.is_final():
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while not state.is_final():
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state.set_context_tokens(token_ids, nr_feat)
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state.set_context_tokens(token_ids, nr_feat)
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memset(vectors, 0, nr_hidden * nr_piece * sizeof(float))
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memset(vectors, 0, nr_hidden * nr_piece * sizeof(float))
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