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Merge pull request #6151 from explosion/fix/train-config-interpolation

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Ines Montani 2020-09-26 15:56:45 +02:00 committed by GitHub
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1 changed files with 4 additions and 1 deletions
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spacy/cli/train.py
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@ -78,6 +78,9 @@ def train(
config = util.load_config( config = util.load_config(
config_path, overrides=config_overrides, interpolate=True config_path, overrides=config_overrides, interpolate=True
) )
# Keep a second un-interpolated config so we can preserve variables in
# the final nlp object we train and serialize
raw_config = util.load_config(config_path, overrides=config_overrides)
if config["training"]["seed"] is not None: if config["training"]["seed"] is not None:
fix_random_seed(config["training"]["seed"]) fix_random_seed(config["training"]["seed"])
allocator = config["training"]["gpu_allocator"] allocator = config["training"]["gpu_allocator"]
@ -86,7 +89,7 @@ def train(
# Use original config here before it's resolved to functions # Use original config here before it's resolved to functions
sourced_components = get_sourced_components(config) sourced_components = get_sourced_components(config)
with show_validation_error(config_path): with show_validation_error(config_path):
nlp, config = util.load_model_from_config(config) nlp, config = util.load_model_from_config(raw_config)
util.load_vocab_data_into_model(nlp, lookups=config["training"]["lookups"]) util.load_vocab_data_into_model(nlp, lookups=config["training"]["lookups"])
if config["training"]["vectors"] is not None: if config["training"]["vectors"] is not None:
add_vectors(nlp, config["training"]["vectors"]) add_vectors(nlp, config["training"]["vectors"])