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remove backend as per #13701

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envolution 2024-11-30 14:50:22 -05:00
parent 3e30b5bef6
commit e3eac03d40
1 changed files with 4 additions and 9 deletions
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13
spacy/ml/parser_model.pyx
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@ -5,7 +5,6 @@ from libc.math cimport exp
from libc.stdlib cimport calloc, free, realloc
from libc.string cimport memcpy, memset
from thinc.backends.cblas cimport saxpy, sgemm
from thinc.backends.linalg cimport Vec, VecVec
import numpy
import numpy.random
@ -116,14 +115,10 @@ cdef void predict_states(
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
)
saxpy(cblas)(n.hiddens * n.pieces, 1., W.feat_bias, 1, &A.unmaxed[i*n.hiddens*n.pieces], 1)
for j in range(n.hiddens):
index = i * n.hiddens * n.pieces + j * n.pieces
which = Vec.arg_max(&A.unmaxed[index], n.pieces)
which = _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))
if W.hidden_weights == NULL:
@ -138,7 +133,7 @@ cdef void predict_states(
)
# Add bias
for i in range(n.states):
VecVec.add_i(&A.scores[i*n.classes], W.hidden_bias, 1., n.classes)
saxpy(cblas)(n.classes, 1., W.hidden_bias, 1, &scores[i*n.classes], 1)
# Set unseen classes to minimum value
i = 0
min_ = A.scores[0]
@ -187,7 +182,7 @@ cdef void cpu_log_loss(
"""Do multi-label log loss"""
cdef double max_, gmax, Z, gZ
best = arg_max_if_gold(scores, costs, is_valid, O)
guess = Vec.arg_max(scores, O)
guess = _arg_max(scores, O)
if best == -1 or guess == -1:
# These shouldn't happen, but if they do, we want to make sure we don't
# cause an OOB access.