Fix a race condition here:
with self.learn.no_bar(), self.learn.no_logging():
dl = self.learn.dls.test_dl(files, bs=bs)
batch, _ = self.learn.get_preds(dl=dl)
The calls to `no_bar()` and maybe `no_logging()` were unsafe in a
multithreaded environment because they modified the shared `self.learn`
object. This led to random exceptions and deadlocks when gunicorn was
under load in production.
Another attempt at fixing #2. b216057 had a bug where you couldn't pass
a file through stdin because we tried to read the file twice, which we
can't do if the input is a pipe.
* Only ignore invalid files in the `autotag` script, not in the
web service. In the web service we want to return an error if given an
invalid or corrupt file.
* Use the logger to log a warning instead of printing directly to stderr.
Fix `autotag` so you can pass a filename of '-' to read a file from
stdin. This way you can do this:
docker run --rm -i ghcr.io/danbooru/autotagger autotag - < image.jpg
...to perform prediction on a single file outside of Docker.
evazion