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Enable history features for beam parser

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This commit is contained in:
Matthew Honnibal 2017-10-05 21:53:29 -05:00
parent fc06b0a333
commit ca12764772
2 changed files with 17 additions and 5 deletions
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11
spacy/syntax/_beam_utils.pyx
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@ -21,6 +21,7 @@ cdef int _transition_state(void* _dest, void* _src, class_t clas, void* _moves)
moves = <const Transition*>_moves moves = <const Transition*>_moves
dest.clone(src) dest.clone(src)
moves[clas].do(dest.c, moves[clas].label) moves[clas].do(dest.c, moves[clas].label)
dest.c.push_hist(clas)
cdef int _check_final_state(void* _state, void* extra_args) except -1: cdef int _check_final_state(void* _state, void* extra_args) except -1:
@ -148,8 +149,8 @@ def get_token_ids(states, int n_tokens):
nr_update = 0 nr_update = 0
def update_beam(TransitionSystem moves, int nr_feature, int max_steps, def update_beam(TransitionSystem moves, int nr_feature, int max_steps,
states, golds, states, golds,
state2vec, vec2scores, state2vec, vec2scores,
int width, float density, int width, float density, int hist_feats,
losses=None, drop=0.): losses=None, drop=0.):
global nr_update global nr_update
cdef MaxViolation violn cdef MaxViolation violn
@ -180,7 +181,11 @@ def update_beam(TransitionSystem moves, int nr_feature, int max_steps,
# Now that we have our flat list of states, feed them through the model # Now that we have our flat list of states, feed them through the model
token_ids = get_token_ids(states, nr_feature) token_ids = get_token_ids(states, nr_feature)
vectors, bp_vectors = state2vec.begin_update(token_ids, drop=drop) vectors, bp_vectors = state2vec.begin_update(token_ids, drop=drop)
scores, bp_scores = vec2scores.begin_update(vectors, drop=drop) if hist_feats:
hists = numpy.asarray([st.history[:hist_feats] for st in states], dtype='i')
scores, bp_scores = vec2scores.begin_update((vectors, hists), drop=drop)
else:
scores, bp_scores = vec2scores.begin_update(vectors, drop=drop)
# Store the callbacks for the backward pass # Store the callbacks for the backward pass
backprops.append((token_ids, bp_vectors, bp_scores)) backprops.append((token_ids, bp_vectors, bp_scores))

11
spacy/syntax/nn_parser.pyx
View File

@ -505,7 +505,12 @@ cdef class Parser:
states.append(stcls) states.append(stcls)
token_ids = self.get_token_ids(states) token_ids = self.get_token_ids(states)
vectors = state2vec(token_ids) vectors = state2vec(token_ids)
scores = vec2scores(vectors) if self.cfg.get('hist_size', 0):
hists = numpy.asarray([st.history[:self.cfg['hist_size']]
for st in states], dtype='i')
scores = vec2scores(vectors, drop=drop)
else:
scores = vec2scores(vectors, drop=drop)
j = 0 j = 0
c_scores = <float*>scores.data c_scores = <float*>scores.data
for i in range(beam.size): for i in range(beam.size):
@ -537,6 +542,7 @@ cdef class Parser:
guess = arg_maxout_if_valid(scores, is_valid, nr_class, nr_piece) guess = arg_maxout_if_valid(scores, is_valid, nr_class, nr_piece)
action = self.moves.c[guess] action = self.moves.c[guess]
action.do(state, action.label) action.do(state, action.label)
state.push_hist(guess)
free(is_valid) free(is_valid)
free(scores) free(scores)
@ -634,7 +640,7 @@ cdef class Parser:
states_d_scores, backprops = _beam_utils.update_beam(self.moves, self.nr_feature, 500, states_d_scores, backprops = _beam_utils.update_beam(self.moves, self.nr_feature, 500,
states, golds, states, golds,
state2vec, vec2scores, state2vec, vec2scores,
width, density, width, density, self.cfg.get('hist_size', 0),
drop=drop, losses=losses) drop=drop, losses=losses)
backprop_lower = [] backprop_lower = []
cdef float batch_size = len(docs) cdef float batch_size = len(docs)
@ -967,6 +973,7 @@ cdef int _transition_state(void* _dest, void* _src, class_t clas, void* _moves)
moves = <const Transition*>_moves moves = <const Transition*>_moves
dest.clone(src) dest.clone(src)
moves[clas].do(dest.c, moves[clas].label) moves[clas].do(dest.c, moves[clas].label)
dest.c.push_hist(clas)
cdef int _check_final_state(void* _state, void* extra_args) except -1: cdef int _check_final_state(void* _state, void* extra_args) except -1: