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Fix silent evaluation (#8581)

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* fix silentness

* sneak in docs typo fix

* pass silent boolean instead
This commit is contained in:
Sofie Van Landeghem 2021-07-06 14:16:19 +02:00 committed by GitHub
parent 3daf57d70c
commit b9f59118bf
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3 changed files with 9 additions and 7 deletions
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6
spacy/cli/_util.py
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@ -2,7 +2,7 @@ from typing import Dict, Any, Union, List, Optional, Tuple, Iterable, TYPE_CHECK
import sys import sys
import shutil import shutil
from pathlib import Path from pathlib import Path
from wasabi import msg from wasabi import msg, Printer
import srsly import srsly
import hashlib import hashlib
import typer import typer
@ -504,8 +504,10 @@ def string_to_list(value: str, intify: bool = False) -> Union[List[str], List[in
return result return result
def setup_gpu(use_gpu: int) -> None: def setup_gpu(use_gpu: int, silent=None) -> None:
"""Configure the GPU and log info.""" """Configure the GPU and log info."""
if silent is not None:
msg = Printer(no_print=silent, pretty=not silent)
if use_gpu >= 0: if use_gpu >= 0:
msg.info(f"Using GPU: {use_gpu}") msg.info(f"Using GPU: {use_gpu}")
require_gpu(use_gpu) require_gpu(use_gpu)

2
spacy/cli/evaluate.py
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@ -64,7 +64,7 @@ def evaluate(
) -> Dict[str, Any]: ) -> Dict[str, Any]:
msg = Printer(no_print=silent, pretty=not silent) msg = Printer(no_print=silent, pretty=not silent)
fix_random_seed() fix_random_seed()
setup_gpu(use_gpu) setup_gpu(use_gpu, silent=silent)
data_path = util.ensure_path(data_path) data_path = util.ensure_path(data_path)
output_path = util.ensure_path(output) output_path = util.ensure_path(output)
displacy_path = util.ensure_path(displacy_path) displacy_path = util.ensure_path(displacy_path)

8
website/docs/usage/processing-pipelines.md
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@ -1105,10 +1105,10 @@ While you could use a registered function or a file loader like
[`srsly.read_json.v1`](/api/top-level#file_readers) as an argument of the [`srsly.read_json.v1`](/api/top-level#file_readers) as an argument of the
component factory, this approach is problematic: the component factory runs component factory, this approach is problematic: the component factory runs
**every time the component is created**. This means it will run when creating **every time the component is created**. This means it will run when creating
the `nlp` object before training, but also every a user loads your pipeline. So the `nlp` object before training, but also every time a user loads your
your runtime pipeline would either depend on a local path on your file system, pipeline. So your runtime pipeline would either depend on a local path on your
or it's loaded twice: once when the component is created, and then again when file system, or it's loaded twice: once when the component is created, and then
the data is by `from_disk`. again when the data is by `from_disk`.
> ```ini > ```ini
> ### config.cfg > ### config.cfg