GitLab

* 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

fix package

Also add pre-trained ResNet-152 model.

  ResNet-152: Prec@1 78.312 Prec@5 94.046

Add ResNet, AlexNet, and VGG model definitions and model zoo

Fixes for inconsistency between / in Python 2 and 3

Add support for images with other than 3 channels

python 3 fix for cifar test sets.