Cache may be out of date, try force_reload=True.

[andreaderetti]

Hi, I'm trying to upload the model with the command:

model = torch.hub.load('ultralytics/yolov3', 'yolov3', force_reload=True, autoshape=False) # or yolov3-spp, yolov3-tiny, custom

Even if I'm using 'force_reload=True', I get the error: 'Cache may be out of date, try force_reload=True. See ultralytics/yolov5#36 for help.'

This is the complete output:
RuntimeError Traceback (most recent call last)
File ~/.cache/torch/hub/ultralytics_yolov3_master/hubconf.py:46, in _create(name, pretrained, channels, classes, autoshape, verbose, device)
45 if pretrained and channels == 3 and classes == 80:
---> 46 model = attempt_load(path, map_location=device) # download/load FP32 model
47 else:

File ~/.cache/torch/hub/ultralytics_yolov3_master/models/experimental.py:97, in attempt_load(weights, map_location, inplace, fuse)
96 ckpt = torch.load(attempt_download(w), map_location=map_location) # load
---> 97 ckpt = (ckpt['ema'] or ckpt['model']).float() # FP32 model
98 model.append(ckpt.fuse().eval() if fuse else ckpt.eval()) # fused or un-fused model in eval mode

File ~/yolov3/venv2/lib/python3.9/site-packages/torch/nn/modules/module.py:763, in Module.float(self)
755 r"""Casts all floating point parameters and buffers to float datatype.
756
757 .. note::
(...)
761 Module: self
762 """
--> 763 return self._apply(lambda t: t.float() if t.is_floating_point() else t)

File ~/.cache/torch/hub/ultralytics_yolov3_master/models/yolo.py:240, in Model._apply(self, fn)
238 def _apply(self, fn):
239 # Apply to(), cpu(), cuda(), half() to model tensors that are not parameters or registered buffers
--> 240 self = super()._apply(fn)
...
62 help_url = 'ultralytics/yolov5#36'
63 s = 'Cache may be out of date, try force_reload=True. See %s for help.' % help_url
---> 64 raise Exception(s) from e

Do you have any idea what the problem might be?

[glenn-jocher]

@andreaderetti I would recommend YOLOv5 for the most up-to-date and maintained code:
https://github.com/ultralytics/yolov5

[andreaderetti]

I found the error, I wasn't using a compatible version of pytorch with my GPU.
Thanks for the reply!