gunicorn: don't use shared memory for model.

This didn't seem to be necessary, and it made running in Docker more difficult since you have to use --shm-size=1G to raise the shared memory limit.
2022-06-30 21:15:45 -05:00
parent 524a2a8c7b
commit 1edfba77c9
1 changed files with 2 additions and 2 deletions
@@ -15,8 +15,8 @@ autotagger = Autotagger(model_path)

 # This is necessary for Gunicorn to work with multiple workers and preloading enabled.
 torch.set_num_threads(1)
-autotagger.learn.model.eval()
-autotagger.learn.model.share_memory()
+#autotagger.learn.model.eval()
+#autotagger.learn.model.share_memory()

 app = Flask(__name__)
 app.config["JSON_SORT_KEYS"] = False