GitLab

* add __repr__ for datasets

* fix lint

Closes #309

* add __repr__ for all transform objects

* add tests for __repr__

* Update densenet.py

added missing weight init for densenet

* Update densenet.py

following official implementation [here](https://github.com/liuzhuang13/DenseNet/blob/master/models/densenet.lua#L160)

* Update densenet.py

changed to nn.init & fixed lint

* add scale and ratio params to RandomResizedCrop.get_params

* don't use Image as a context manager to avoid exceptions on close

* flake8

* EMNIST dataset + speedup *MNIST preprocessing

* param to cause FakeData to generate different images

docstring fix for Normalize: the std sequence should be (S1, ..., Sn).

* add tunable crop scale and aspect ratio in

* Added urls to Harris patches on Phototour

* fixed formatting

* fixed flake8 complains

* add docs for grayscale + random grayscale transforms

* add to_grayscale + randomGrayscale

add rotate and RandomRotation to transforms

* First commit for semeion dataset

SEMEION Handwritten Digits Data Set
http://archive.ics.uci.edu/ml/datasets/semeion+handwritten+digit

* SEMEION Class

* Fix Lint errors

* More linting errors

is_image_file is now case insensitive
Added docstring to is_image_file
is_image_file now returns true for pgm files

added CIFAR100 autoclass in docs

* refactor transforms and add transforms/functional.py

* add __all__ to transforms.py

* add docs to FiveCrop + TenCrop

* fix typo in docstring

Nit: Typo fix.

* add assert for byte tensor to_pil_image

* add mode param to ToPILImage

* add some more tests

* fix formatiing on error messages

* added tests for to_pil_image with mode param

* flake8 fixes

expands coverage on test_to_tensor to 1 and 4 image channels