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fix resolving of dot notation (#6326)

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Sofie Van Landeghem 2020-10-31 12:17:06 +01:00 committed by GitHub
parent dc816bba9d
commit 2918923541
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1 changed files with 2 additions and 2 deletions
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spacy/training/pretrain.py
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@ -17,7 +17,7 @@ from ..ml.models.multi_task import build_cloze_multi_task_model
from ..ml.models.multi_task import build_cloze_characters_multi_task_model from ..ml.models.multi_task import build_cloze_characters_multi_task_model
from ..schemas import ConfigSchemaTraining, ConfigSchemaPretrain from ..schemas import ConfigSchemaTraining, ConfigSchemaPretrain
from ..errors import Errors from ..errors import Errors
from ..util import registry, load_model_from_config, dot_to_object from ..util import registry, load_model_from_config, resolve_dot_names
def pretrain( def pretrain(
@ -38,7 +38,7 @@ def pretrain(
_config = nlp.config.interpolate() _config = nlp.config.interpolate()
T = registry.resolve(_config["training"], schema=ConfigSchemaTraining) T = registry.resolve(_config["training"], schema=ConfigSchemaTraining)
P = registry.resolve(_config["pretraining"], schema=ConfigSchemaPretrain) P = registry.resolve(_config["pretraining"], schema=ConfigSchemaPretrain)
corpus = dot_to_object(T, P["corpus"]) corpus = resolve_dot_names(_config, [P["corpus"]])[0]
batcher = P["batcher"] batcher = P["batcher"]
model = create_pretraining_model(nlp, P) model = create_pretraining_model(nlp, P)
optimizer = P["optimizer"] optimizer = P["optimizer"]