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Remove auto 'set_annotation' in training to address GPU memory

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This commit is contained in:
Matthw Honnibal 2020-07-08 21:36:51 +02:00
parent fb8a5967c1
commit 93e50da46a
1 changed files with 2 additions and 6 deletions
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8
spacy/language.py
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@ -540,19 +540,15 @@ class Language(object):
if component_cfg is None:
component_cfg = {}
component_deps = count_pipeline_interdependencies(self.pipeline)
# Determine whether component should set annotations. In theory I guess
# we should do this by inspecting the meta? Or we could just always
# say "yes"
for i, (name, proc) in enumerate(self.pipeline):
component_cfg.setdefault(name, {})
component_cfg[name].setdefault("drop", drop)
component_cfg[name]["set_annotations"] = bool(component_deps[i])
component_cfg[name].setdefault("set_annotations", False)
for name, proc in self.pipeline:
if not hasattr(proc, "update"):
continue
proc.update(examples, sgd=None, losses=losses, **component_cfg[name])
if sgd is not False:
if sgd not in (None, False):
for name, proc in self.pipeline:
if hasattr(proc, "model"):
proc.model.finish_update(sgd)