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Get the Torch Hub cache directory used for storing downloaded models & weights.
If :func:`~torch.hub.set_dir` is not called, default path is ``$TORCH_HOME/hub`` where
environment variable ``$TORCH_HOME`` defaults to ``$XDG_CACHE_HOME/torch``.
``$XDG_CACHE_HOME`` follows the X Design Group specification of the Linux
filesystem layout, with a default value ``~/.cache`` if the environment
variable is not set.
Z TORCH_HUBz:TORCH_HUB is deprecated, please use env TORCH_HOME insteadN�hub)rQ rc r� r� r= r> re rh r r r r r5 � s
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Optionally set the Torch Hub directory used to save downloaded models & weights.
Args:
d (str): path to a local folder to save downloaded models & weights.
N)rQ r> rb r= )�dr r r r: � s r: c sn t | ||d||d�}t|�� tj�|t�}tt|�� W d � n1 s%w Y � fdd�t� �D �}|S )a*
List all callable entrypoints available in the repo specified by ``github``.
Args:
github (str): a string with format "repo_owner/repo_name[:ref]" with an optional
ref (tag or branch). If ``ref`` is not specified, the default branch is assumed to be ``main`` if
it exists, and otherwise ``master``.
Example: 'pytorch/vision:0.10'
force_reload (bool, optional): whether to discard the existing cache and force a fresh download.
Default is ``False``.
skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
specified by the ``github`` argument properly belongs to the repo owner. This will make
requests to the GitHub API; you can specify a non-default GitHub token by setting the
``GITHUB_TOKEN`` environment variable. Default is ``False``.
trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
This parameter was introduced in v1.12 and helps ensuring that users
only run code from repos that they trust.
- If ``False``, a prompt will ask the user whether the repo should
be trusted.
- If ``True``, the repo will be added to the trusted list and loaded
without requiring explicit confirmation.
- If ``"check"``, the repo will be checked against the list of
trusted repos in the cache. If it is not present in that list, the
behaviour will fall back onto the ``trust_repo=False`` option.
- If ``None``: this will raise a warning, inviting the user to set
``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
is only present for backward compatibility and will be removed in
v2.0.
Default is ``None`` and will eventually change to ``"check"`` in v2.0.
verbose (bool, optional): If ``False``, mute messages about hitting
local caches. Note that the message about first download cannot be
muted. Default is ``True``.
Returns:
list: The available callables entrypoint
Example:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
>>> entrypoints = torch.hub.list("pytorch/vision", force_reload=True)
r7 �r� r� Nc s( g | ]}t t� |��r|�d �s|�qS )rl )r� r^ r� )r� �f��
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Show the docstring of entrypoint ``model``.
Args:
github (str): a string with format <repo_owner/repo_name[:ref]> with an optional
ref (a tag or a branch). If ``ref`` is not specified, the default branch is assumed
to be ``main`` if it exists, and otherwise ``master``.
Example: 'pytorch/vision:0.10'
model (str): a string of entrypoint name defined in repo's ``hubconf.py``
force_reload (bool, optional): whether to discard the existing cache and force a fresh download.
Default is ``False``.
skip_validation (bool, optional): if ``False``, torchhub will check that the ref
specified by the ``github`` argument properly belongs to the repo owner. This will make
requests to the GitHub API; you can specify a non-default GitHub token by setting the
``GITHUB_TOKEN`` environment variable. Default is ``False``.
trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
This parameter was introduced in v1.12 and helps ensuring that users
only run code from repos that they trust.
- If ``False``, a prompt will ask the user whether the repo should
be trusted.
- If ``True``, the repo will be added to the trusted list and loaded
without requiring explicit confirmation.
- If ``"check"``, the repo will be checked against the list of
trusted repos in the cache. If it is not present in that list, the
behaviour will fall back onto the ``trust_repo=False`` option.
- If ``None``: this will raise a warning, inviting the user to set
``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
is only present for backward compatibility and will be removed in
v2.0.
Default is ``None`` and will eventually change to ``"check"`` in v2.0.
Example:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
>>> print(torch.hub.help("pytorch/vision", "resnet18", force_reload=True))
r6 Tr� N) r� rB rQ r> re r� rP r� �__doc__) rq r� r� r� r� r� r� r� �entryr r r r6 � s %�
�
r6 rq )�sourcer� r� r� r� c O sX |� � }|dvrtd|� d���|dkr t| ||d||d�} t| |g|�R i |��}|S )a�
Load a model from a github repo or a local directory.
Note: Loading a model is the typical use case, but this can also be used to
for loading other objects such as tokenizers, loss functions, etc.
If ``source`` is 'github', ``repo_or_dir`` is expected to be
of the form ``repo_owner/repo_name[:ref]`` with an optional
ref (a tag or a branch).
If ``source`` is 'local', ``repo_or_dir`` is expected to be a
path to a local directory.
Args:
repo_or_dir (str): If ``source`` is 'github',
this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
If ``source`` is 'local' then it should be a path to a local directory.
model (str): the name of a callable (entrypoint) defined in the
repo/dir's ``hubconf.py``.
*args (optional): the corresponding args for callable ``model``.
source (str, optional): 'github' or 'local'. Specifies how
``repo_or_dir`` is to be interpreted. Default is 'github'.
trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
This parameter was introduced in v1.12 and helps ensuring that users
only run code from repos that they trust.
- If ``False``, a prompt will ask the user whether the repo should
be trusted.
- If ``True``, the repo will be added to the trusted list and loaded
without requiring explicit confirmation.
- If ``"check"``, the repo will be checked against the list of
trusted repos in the cache. If it is not present in that list, the
behaviour will fall back onto the ``trust_repo=False`` option.
- If ``None``: this will raise a warning, inviting the user to set
``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
is only present for backward compatibility and will be removed in
v2.0.
Default is ``None`` and will eventually change to ``"check"`` in v2.0.
force_reload (bool, optional): whether to force a fresh download of
the github repo unconditionally. Does not have any effect if
``source = 'local'``. Default is ``False``.
verbose (bool, optional): If ``False``, mute messages about hitting
local caches. Note that the message about first download cannot be
muted. Does not have any effect if ``source = 'local'``.
Default is ``True``.
skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
specified by the ``github`` argument properly belongs to the repo owner. This will make
requests to the GitHub API; you can specify a non-default GitHub token by setting the
``GITHUB_TOKEN`` environment variable. Default is ``False``.
**kwargs (optional): the corresponding kwargs for callable ``model``.
Returns:
The output of the ``model`` callable when called with the given
``*args`` and ``**kwargs``.
Example:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
>>> # from a github repo
>>> repo = "pytorch/vision"
>>> model = torch.hub.load(
... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
... )
>>> # from a local directory
>>> path = "/some/local/path/pytorch/vision"
>>> # xdoctest: +SKIP
>>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
)rq �localzUnknown source: "z&". Allowed values: "github" | "local".rq r8 r� )r� r� r� � _load_local) Z repo_or_dirr� r� r� r� r� r� r r r r r r8 % s Q
�� c O s^ t | ��! tj�| t�}tt|�}t||�}||i |��}W d � |S 1 s(w Y |S )a�
Load a model from a local directory with a ``hubconf.py``.
Args:
hubconf_dir (str): path to a local directory that contains a
``hubconf.py``.
model (str): name of an entrypoint defined in the directory's
``hubconf.py``.
*args (optional): the corresponding args for callable ``model``.
**kwargs (optional): the corresponding kwargs for callable ``model``.
Returns:
a single model with corresponding pretrained weights.
Example:
>>> # xdoctest: +SKIP("stub local path")
>>> path = "/some/local/path/pytorch/vision"
>>> model = _load_local(path, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1")
N)rB rQ r> re r� rP r� )Z hubconf_dirr� r r r� r� r� r r r r� � s
��r� ry �dst� hash_prefixr� �returnc C s� d}t | ddid�}t|�}|�� }t|d�r |�d�}n|�d�}|dur2t|�dkr2t|d �}tj �
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�t|�� qxW d � n1 s�w Y | � � |dur�| � � }|dt|�� |kr�t d|� d|� d���t � | j!|� W | � � tj �"| j!�r�t�#| j!� dS dS | � � tj �"| j!�r�t�#| j!� w w )a� Download object at the given URL to a local path.
Args:
url (str): URL of the object to download
dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
Default: None
progress (bool, optional): whether or not to display a progress bar to stderr
Default: True
Example:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
>>> # xdoctest: +REQUIRES(POSIX)
>>> torch.hub.download_url_to_file(
... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
... "/tmp/temporary_file",
... )
Nz
User-Agentz torch.hubr �
getheaderszContent-Lengthr r� z.partialzw+bz#No usable temporary file name found�BTi )r r r �
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r z�Falling back to the old format < 1.6. This support will be deprecated in favor of default zipfile format introduced in 1.6. Please redo torch.save() to save it in the new zipfile format.)�category� model_dir� map_location� weights_onlyc C sx t �| ��'}|�� }t|�dkrtd��|�|� |d j}tj� ||�}W d � n1 s/w Y t
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aq Loads the Torch serialized object at the given URL.
If downloaded file is a zip file, it will be automatically
decompressed.
If the object is already present in `model_dir`, it's deserialized and
returned.
The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
Args:
url (str): URL of the object to download
model_dir (str, 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.
Default: True
check_hash(bool, optional): If True, 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.
Default: False
file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
Recommended for untrusted sources. See :func:`~torch.load` for more details.
Example:
>>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
>>> state_dict = torch.hub.load_state_dict_from_url(
... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
... )
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