Summary:
* `torch.hub.list('pytorch/vision')` - show all available hub models in `pytorch/vision`
* `torch.hub.show('pytorch/vision', 'resnet18')` - show docstring & example for `resnet18` in `pytorch/vision`
* Moved `torch.utils.model_zoo.load_url` to `torch.hub.load_state_dict_from_url` and deprecate `torch.utils.model_zoo`
* We have too many env to control where the cache dir is, it's not very necessary. I actually want to unify `TORCH_HUB_DIR`, `TORCH_HOME` and `TORCH_MODEL_ZOO`, but haven't done it. (more suggestions are welcome!)
* Simplify `pytorch/vision` example in doc, it was used to show how how hub entrypoint can be written so had some confusing unnecessary args.
An example of hub usage is shown below
```
In [1]: import torch
In [2]: torch.hub.list('pytorch/vision', force_reload=True)
Downloading: "https://github.com/pytorch/vision/archive/master.zip" to /private/home/ailzhang/.torch/hub/master.zip
Out[2]: ['resnet18', 'resnet50']
In [3]: torch.hub.show('pytorch/vision', 'resnet18')
Using cache found in /private/home/ailzhang/.torch/hub/vision_master
Resnet18 model
pretrained (bool): a recommended kwargs for all entrypoints
args & kwargs are arguments for the function
In [4]: model = torch.hub.load('pytorch/vision', 'resnet18', pretrained=True)
Using cache found in /private/home/ailzhang/.torch/hub/vision_master
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18758
Differential Revision: D14883651
Pulled By: ailzhang
fbshipit-source-id: 6db6ab708a74121782a9154c44b0e190b23e8309
Summary:
Currently, the fake tqdm implementation requires an input (whereas real tqdm does not).
This caused a problem in torchvision (https://github.com/pytorch/vision/pull/770), and seems likely to cause minor irritations elsewhere.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17636
Differential Revision: D14296530
Pulled By: ezyang
fbshipit-source-id: bc077d898773c93dab34c985a7b30525a43e558a
Summary:
The current implementation of the `torch.utils.model_zoo.load_url`
function is prone to a race condition when creating the directory in
which it saves the loaded models, since it checks whether the
directory exists and then creates it in two separate steps. The
directory can be created after the check was made but before we
attempt to create the directory, resulting in an unhandled exception.
Instead, try to create the directory directly, and do nothing if it
already exists.
Note: for Python versions ≥ 3.2, we could simply use the
`exist_ok=True` flag on `os.makedirs`, but this is unavailable in
Python 2.7.
Signed-off-by: Antoine Busque <antoine.busque@elementai.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16578
Differential Revision: D13886470
Pulled By: soumith
fbshipit-source-id: 88815c8a65eec96caea32d6e9a7f83802502fdb9
Summary:
Some HTTP servers dont return Content-Length, account for that
Fixes: https://github.com/pytorch/pytorch/issues/16152
Differential Revision: D13858882
Pulled By: soumith
fbshipit-source-id: e4293e9368ed4c87548d22adec1ce0c25ea4bd8f
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13141
This is an example diff to show what lint rules are being applied.
Reviewed By: mingzhe09088
Differential Revision: D10858478
fbshipit-source-id: cbeb013f10f755b0095478adf79366e7cf7836ff
Apparently get() is a function of requests, not a module (not sure if in
the past get() used to be a module). Therefore, the syntax in #3280 will
alway fail with ImportError, and requests lib will never be used (kind
of defeat the purpose of that pull request).
Also, if requests lib is used, should add stream=True parameter,
otherwise requests.get() will load the whole response into memory.
Not sure if this is a backwards compatibility issue.
```
Python 2.7.9 (default, Apr 2 2015, 15:35:35)
[GCC 4.9.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import requests.get as urlopen
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named get
>>> from requests import get as urlopen
>>>
```
Here's the command I used to invoke autopep8 (in parallel!):
git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i
Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.
Also configures flake8 to match pep8's behavior.
Also configures TravisCI to check the whole project for lint.
