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

    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

tgz_mdf should be changed to tgz_md5 to make it work

Also add pre-trained ResNet-152 model.

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