From 765d96982f5c2be5b2ab39b284348bc35ff9064c Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Sun, 28 Mar 2021 17:21:19 +0200
Subject: [PATCH] PyTorch Hub custom model to CUDA device fix

Fix for #2630 raised by @Pro100rus32
---
 hubconf.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/hubconf.py b/hubconf.py
index 710882cf158f..0eaf70787e64 100644
--- a/hubconf.py
+++ b/hubconf.py
@@ -128,7 +128,10 @@ def custom(path_or_model='path/to/model.pt', autoshape=True):
     hub_model = Model(model.yaml).to(next(model.parameters()).device)  # create
     hub_model.load_state_dict(model.float().state_dict())  # load state_dict
     hub_model.names = model.names  # class names
-    return hub_model.autoshape() if autoshape else hub_model
+    if autoshape:
+        hub_model = hub_model.autoshape()  # for file/URI/PIL/cv2/np inputs and NMS
+    device = select_device('0' if torch.cuda.is_available() else 'cpu')  # default to GPU if available
+    return hub_model.to(device)
 
 
 if __name__ == '__main__':