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Merge pull request #6151 from explosion/fix/train-config-interpolation
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3838b14148
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@ -78,6 +78,9 @@ def train(
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config = util.load_config(
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config_path, overrides=config_overrides, interpolate=True
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)
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# Keep a second un-interpolated config so we can preserve variables in
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# the final nlp object we train and serialize
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raw_config = util.load_config(config_path, overrides=config_overrides)
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if config["training"]["seed"] is not None:
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fix_random_seed(config["training"]["seed"])
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allocator = config["training"]["gpu_allocator"]
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@ -86,7 +89,7 @@ def train(
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# Use original config here before it's resolved to functions
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sourced_components = get_sourced_components(config)
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with show_validation_error(config_path):
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nlp, config = util.load_model_from_config(config)
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nlp, config = util.load_model_from_config(raw_config)
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util.load_vocab_data_into_model(nlp, lookups=config["training"]["lookups"])
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if config["training"]["vectors"] is not None:
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add_vectors(nlp, config["training"]["vectors"])
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