# torch.utils.model_zoo¶

Moved to torch.hub.

torch.utils.model_zoo.load_url(url, model_dir=None, map_location=None, progress=True)

Loads the Torch serialized object at the given URL.

If the object is already present in model_dir, it’s deserialized and returned. The filename part of the URL should follow the naming convention filename-<sha256>.ext where <sha256> is the first eight or more digits of the SHA256 hash of the contents of the file. The hash is used to ensure unique names and to verify the contents of the file.

The default value of model_dir is $TORCH_HOME/checkpoints where environment variable $TORCH_HOME defaults to $XDG_CACHE_HOME/torch. $XDG_CACHE_HOME follows the X Design Group specification of the Linux filesytem layout, with a default value ~/.cache if not set.

Parameters

• model_dir (string, optional) – directory in which to save the object

• map_location (optional) – a function or a dict specifying how to remap storage locations (see torch.load)

• progress (bool, optional) – whether or not to display a progress bar to stderr

Example

>>> state_dict = torch.hub.load_state_dict_from_url('https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth')