PyTorch Hub models default to CUDA:0 if available (#2472)

* PyTorch Hub models default to CUDA:0 if available

* device as string bug fix

utils/datasets.py

@@ -385,7 +385,7 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
         # Display cache
         nf, nm, ne, nc, n = cache.pop('results')  # found, missing, empty, corrupted, total
         if exists:
-            d = f"Scanning '{cache_path}' for images and labels... {nf} found, {nm} missing, {ne} empty, {nc} corrupted"
+            d = f"Scanning '{cache_path}' images and labels... {nf} found, {nm} missing, {ne} empty, {nc} corrupted"
             tqdm(None, desc=prefix + d, total=n, initial=n)  # display cache results
         assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {help_url}'
 
@@ -485,7 +485,7 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
                 nc += 1
                 print(f'{prefix}WARNING: Ignoring corrupted image and/or label {im_file}: {e}')
 
-            pbar.desc = f"{prefix}Scanning '{path.parent / path.stem}' for images and labels... " \
+            pbar.desc = f"{prefix}Scanning '{path.parent / path.stem}' images and labels... " \
                         f"{nf} found, {nm} missing, {ne} empty, {nc} corrupted"
 
         if nf == 0: