explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-03-03 10:55:52 +03:00
Code Issues Packages Projects Releases Wiki Activity

Fix refactored parser

Browse Source
This commit is contained in:
Matthew Honnibal 2018-05-07 18:58:09 +02:00
parent bde3be1ad1
commit 36b2c9bdd5
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
spacy/syntax/_parser_model.pyx
View File

@ -100,14 +100,14 @@ cdef void predict_states(ActivationsC* A, StateC** states,
memset(A.unmaxed, 0, n.states * n.hiddens * n.pieces * sizeof(float))
memset(A.hiddens, 0, n.states * n.hiddens * sizeof(float))
for i in range(n.states):
state = states[i]
state.set_context_tokens(A.token_ids, n.feats)
sum_state_features(A.unmaxed,
W.feat_weights, A.token_ids, 1, n.feats, n.hiddens * n.pieces)
VecVec.add_i(A.unmaxed,
states[i].set_context_tokens(&A.token_ids[i*n.feats], n.feats)
sum_state_features(A.unmaxed,
W.feat_weights, A.token_ids, n.states, n.feats, n.hiddens * n.pieces)
for i in range(n.states):
VecVec.add_i(&A.unmaxed[i*n.hiddens*n.pieces],
W.feat_bias, 1., n.hiddens * n.pieces)
for j in range(n.hiddens):
index = j * n.pieces
index = i * n.hiddens * n.pieces + j * n.pieces
which = Vec.arg_max(&A.unmaxed[index], n.pieces)
A.hiddens[i*n.hiddens + j] = A.unmaxed[index + which]
memset(A.scores, 0, n.states * n.classes * sizeof(float))