mirror of https://github.com/explosion/spaCy.git
Remove unused train code
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@ -18,7 +18,7 @@ from .. import util
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from ..training.example import Example
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from ..training.example import Example
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from ..training.initialize import must_initialize, init_pipeline
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from ..training.initialize import must_initialize, init_pipeline
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from ..errors import Errors
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from ..errors import Errors
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from ..util import dot_to_object
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from ..util import resolve_dot_names
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@app.command(
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@app.command(
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@ -363,27 +363,6 @@ def update_meta(
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nlp.meta["performance"][f"{pipe_name}_loss"] = info["losses"][pipe_name]
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nlp.meta["performance"][f"{pipe_name}_loss"] = info["losses"][pipe_name]
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def load_from_paths(
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config: Config,
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) -> Tuple[List[Dict[str, str]], Dict[str, dict], bytes]:
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# TODO: separate checks from loading
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raw_text = util.ensure_path(config["training"]["raw_text"])
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if raw_text is not None:
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if not raw_text.exists():
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msg.fail("Can't find raw text", raw_text, exits=1)
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raw_text = list(srsly.read_jsonl(config["training"]["raw_text"]))
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tag_map = {}
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morph_rules = {}
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weights_data = None
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init_tok2vec = util.ensure_path(config["training"]["init_tok2vec"])
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if init_tok2vec is not None:
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if not init_tok2vec.exists():
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msg.fail("Can't find pretrained tok2vec", init_tok2vec, exits=1)
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with init_tok2vec.open("rb") as file_:
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weights_data = file_.read()
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return raw_text, tag_map, morph_rules, weights_data
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def verify_cli_args(config_path: Path, output_path: Optional[Path] = None) -> None:
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def verify_cli_args(config_path: Path, output_path: Optional[Path] = None) -> None:
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# Make sure all files and paths exists if they are needed
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# Make sure all files and paths exists if they are needed
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if not config_path or not config_path.exists():
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if not config_path or not config_path.exists():
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