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pipe_name instead of section in debug_model
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3449c45fd9
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@ -16,7 +16,7 @@ def debug_model_cli(
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# fmt: off
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ctx: typer.Context, # This is only used to read additional arguments
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config_path: Path = Arg(..., help="Path to config file", exists=True),
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section: str = Arg(..., help="Section that defines the model to be analysed"),
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pipe_name: str = Arg(..., help="Name of the pipe of which the model should be analysed"),
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layers: str = Opt("", "--layers", "-l", help="Comma-separated names of layer IDs to print"),
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dimensions: bool = Opt(False, "--dimensions", "-DIM", help="Show dimensions"),
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parameters: bool = Opt(False, "--parameters", "-PAR", help="Show parameters"),
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@ -53,20 +53,20 @@ def debug_model_cli(
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cfg = Config().from_disk(config_path)
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with show_validation_error():
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try:
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_, config = util.load_model_from_config(cfg, overrides=config_overrides)
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nlp, config = util.load_model_from_config(cfg, overrides=config_overrides)
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except ValueError as e:
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msg.fail(str(e), exits=1)
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seed = config["pretraining"]["seed"]
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seed = config.get("training", {}).get("seed", None)
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if seed is not None:
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msg.info(f"Fixing random seed: {seed}")
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fix_random_seed(seed)
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component = dot_to_object(config, section)
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component = nlp.get_pipe(pipe_name)
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if hasattr(component, "model"):
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model = component.model
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else:
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msg.fail(
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f"The section '{section}' does not specify an object that holds a Model.",
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f"The component '{pipe_name}' does not specify an object that holds a Model.",
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exits=1,
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)
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debug_model(model, print_settings=print_settings)
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