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Fix out-of-bounds access in NER training
The helper method state.B(1) gets the index of the first token of the buffer, or -1 if no such token exists. Normally this is safe because we pass this to functions like state.safe_get(), which returns an empty token. Here we used it directly as an array index, which is not okay! This error may have been the cause of out-of-bounds access errors during training. Similar errors may still be around, so much be hunted down. Hunting this one down took a long time...I printed out values across training runs and diffed, looking for points of divergence between runs, when no randomness should be allowed.
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@ -338,7 +338,7 @@ cdef class In:
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@staticmethod
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cdef weight_t cost(StateClass s, const GoldParseC* gold, attr_t label) nogil:
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move = IN
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cdef int next_act = gold.ner[s.B(1)].move if s.B(0) < s.c.length else OUT
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cdef int next_act = gold.ner[s.B(1)].move if s.B(1) >= 0 else OUT
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cdef int g_act = gold.ner[s.B(0)].move
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cdef attr_t g_tag = gold.ner[s.B(0)].label
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cdef bint is_sunk = _entity_is_sunk(s, gold.ner)
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