GitLab

* fix for to_tensor when input is np.ndarray of shape [H,W,C]. Issue #48 pytorch/vision

* update cifar datasets to transpose images from CHW -> HWC

* fix flake8 issue on test_transforms.py

Fixed a wrong folder name.

Install pytorch with conda. Most of .travis.yml copied from the example
provided by the conda folks at:

https://conda.io/docs/travis.html

    git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i

Previous assertion only allows numbers for `fill`, which rules out the possibility to pad multi-channel colors. For example, now fill=(255,255,255) or fill="white" can be used to achieve white padding for rgb inputs.

YCbCr breaks the code without warning. Changed the code to make `ToTensor()` cope with all PIL image types.

* Add SqueezeNet 1.0 and 1.1 models
* Selectively avoid inplace in SqueezeNet
* Use Glorot uniform initialization in SqueezeNet
* Make all ReLU in SqueezeNet in-place
* Add pretrained SqueezeNet 1.0 and 1.1
* Minor fixes in SqueezeNet models

* Update VGG doco

Use integer division in tests/test_transforms for array slice indices + various PEP-8 fixes

Fix typo in README.rst

tgz_mdf should be changed to tgz_md5 to make it work

add MNIST dataset to docs. Improve formatting of LSUN docs

Minor improvements

pip install from PyPI

Install package dependencies automatically