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38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
from typing import Optional
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import logging
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from pathlib import Path
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from wasabi import msg
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import typer
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from .. import util
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from ..training.initialize import init_nlp
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from ._util import init_cli, Arg, Opt, parse_config_overrides, show_validation_error
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from ._util import import_code, setup_gpu
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@init_cli.command(
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"nlp",
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context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
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hidden=True,
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)
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def init_pipeline_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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output_path: Path = Arg(..., help="Output directory for the prepared data"),
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code_path: Optional[Path] = Opt(None, "--code", "-c", help="Path to Python file with additional code (registered functions) to be imported"),
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verbose: bool = Opt(False, "--verbose", "-V", "-VV", help="Display more information for debugging purposes"),
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use_gpu: int = Opt(-1, "--gpu-id", "-g", help="GPU ID or -1 for CPU")
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# fmt: on
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):
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util.logger.setLevel(logging.DEBUG if verbose else logging.ERROR)
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overrides = parse_config_overrides(ctx.args)
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import_code(code_path)
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setup_gpu(use_gpu)
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with show_validation_error(config_path):
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config = util.load_config(config_path, overrides=overrides)
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with show_validation_error(hint_fill=False):
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nlp = init_nlp(config, use_gpu=use_gpu, silent=False)
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nlp.to_disk(output_path)
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msg.good(f"Saved initialized pipeline to {output_path}")
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