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Without clipping, any values larger than 255 will be replaced with
int(v mod 256) by byte(), which results in high freq noise in image.

is already downloaded* for CIFAR and STL10

* Running sanity checks on cropped parts of scipy.misc.ascent

Doing this to ensure that the image is of the size 100 x 212 which is being followed throughout the sanity checks

* Update sanity_checks.ipynb

Doing this to ensure that the image is of the size 100 x 212 which is being followed throughout the sanity checks

In python2, calling `make_grid` won't display the last images if the number of images doesn't divide `nrow`.
Int division...

This should fix that!

* 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.