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Improve efficiency of Doc.to_array

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This commit is contained in:
Matthew Honnibal 2017-11-17 18:55:56 +01:00
parent 2acc907d55
commit e10e9ad2c5
1 changed files with 9 additions and 4 deletions
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13
spacy/tokens/doc.pyx
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@ -1,6 +1,7 @@
# coding: utf8
# cython: infer_types=True
# cython: bounds_check=False
# cython: profile=True
from __future__ import unicode_literals
cimport cython
@ -567,7 +568,6 @@ cdef class Doc:
"""
cdef int i, j
cdef attr_id_t feature
cdef np.ndarray[attr_t, ndim=1] attr_ids
cdef np.ndarray[attr_t, ndim=2] output
# Handle scalar/list inputs of strings/ints for py_attr_ids
if not hasattr(py_attr_ids, '__iter__') \
@ -579,12 +579,17 @@ cdef class Doc:
for id_ in py_attr_ids]
# Make an array from the attributes --- otherwise our inner loop is
# Python dict iteration.
attr_ids = numpy.asarray(py_attr_ids, dtype=numpy.uint64)
cdef np.ndarray attr_ids = numpy.asarray(py_attr_ids, dtype='i')
output = numpy.ndarray(shape=(self.length, len(attr_ids)),
dtype=numpy.uint64)
c_output = <attr_t*>output.data
c_attr_ids = <attr_id_t*>attr_ids.data
cdef TokenC* token
cdef int nr_attr = attr_ids.shape[0]
for i in range(self.length):
for j, feature in enumerate(attr_ids):
output[i, j] = get_token_attr(&self.c[i], feature)
token = &self.c[i]
for j in range(nr_attr):
c_output[i*nr_attr + j] = get_token_attr(token, c_attr_ids[j])
# Handle 1d case
return output if len(attr_ids) >= 2 else output.reshape((self.length,))