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precompute_hiddens/Parser: look up CPU ops once (v4) (#11068)

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* precompute_hiddens/Parser: look up CPU ops once

* precompute_hiddens: make cpu_ops private
This commit is contained in:
Daniël de Kok 2022-07-29 15:12:19 +02:00 committed by GitHub
parent b2d05f9f66
commit e581eeac34
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 6 additions and 11 deletions
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8
spacy/ml/parser_model.pyx
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@ -347,6 +347,7 @@ cdef class precompute_hiddens:
cdef bint _is_synchronized
cdef public object ops
cdef public object numpy_ops
cdef public object _cpu_ops
cdef np.ndarray _features
cdef np.ndarray _cached
cdef np.ndarray bias
@ -377,6 +378,7 @@ cdef class precompute_hiddens:
self.nO = cached.shape[2]
self.ops = lower_model.ops
self.numpy_ops = NumpyOps()
self._cpu_ops = get_ops("cpu") if isinstance(self.ops, CupyOps) else self.ops
assert activation in (None, "relu", "maxout")
self.activation = activation
self._is_synchronized = False
@ -439,11 +441,7 @@ cdef class precompute_hiddens:
# - Output from backward on GPU
bp_hiddens = self._bp_hiddens
cdef CBlas cblas
if isinstance(self.ops, CupyOps):
cblas = NUMPY_OPS.cblas()
else:
cblas = self.ops.cblas()
cdef CBlas cblas = self._cpu_ops.cblas()
feat_weights = self.get_feat_weights()
cdef int[:, ::1] ids = token_ids

1
spacy/pipeline/transition_parser.pxd
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@ -12,6 +12,7 @@ cdef class Parser(TrainablePipe):
cdef public object _rehearsal_model
cdef readonly TransitionSystem moves
cdef public object _multitasks
cdef object _cpu_ops
cdef void _parseC(self, CBlas cblas, StateC** states,
WeightsC weights, SizesC sizes) nogil

8
spacy/pipeline/transition_parser.pyx
View File

@ -123,6 +123,7 @@ cdef class Parser(TrainablePipe):
self._rehearsal_model = None
self.scorer = scorer
self._cpu_ops = get_ops("cpu") if isinstance(self.model.ops, CupyOps) else self.model.ops
def __getnewargs_ex__(self):
"""This allows pickling the Parser and its keyword-only init arguments"""
@ -262,12 +263,7 @@ cdef class Parser(TrainablePipe):
def greedy_parse(self, docs, drop=0.):
cdef vector[StateC*] states
cdef StateClass state
ops = self.model.ops
cdef CBlas cblas
if isinstance(ops, CupyOps):
cblas = NUMPY_OPS.cblas()
else:
cblas = ops.cblas()
cdef CBlas cblas = self._cpu_ops.cblas()
self._ensure_labels_are_added(docs)
set_dropout_rate(self.model, drop)
batch = self.moves.init_batch(docs)