GitLab

* 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

* added Whiten transform and relative section in README

* added Whiten transform and its section in README

* fixed lint

* fixed lint again

* added linear transformation and whitening test unitary covariance

* fixed lint and test

* commit before rebasing

* before rebase

* added assertion to check matrix size

* fix readme

* added space around operator

* replace assert with raise ValueError, fix spaces and readme

PIL.Image is renamed to 'PIL Image' because PIL.Image is the module and PIL.Image.Image is the class we are referring but is too long to put in docstrings

Pattern from: https://packaging.python.org/guides/single-sourcing-package-version/

* Add adjust_hue and adjust_saturation

* Add adjust_brightness, adjust_contrast

Also
* Change adjust_saturation to use pillow implementation
* Documentation made clear

* Add adjust_gamma

* Add ColorJitter

* Address review comments

* Fix documentation for ColorJitter

* Address review comments 2

* Fallback to adjust_hue in case of BW images

* Add tests

* fix dtype

rename scaled_crop -> resized_crop + rename RandomSizedCrop -> RandomResizedCrop

TenCrop and FiveCrop refactored

add FiveCrop and TenCrop

add RandomVerticalFlip transform

update SVHN docs to note label change for digit 0

* added Inception v3 to index;
* document pretrained models;
* fix typo.

make size param of Scale (h,w) not (w,h)

According to the comment, this should be 1MB which is 1024*1024 bytes.

This reverts commit 36849429.

* load densenet tensors onto cpu

* fix uneven padding in make_grid

* revert incorrectly added commit

* load densenet tensors onto cpu

* fix docs for size param in random + center crop

* revert incorrect commit

(cherry picked from commit 71afec427baca8e37cd9e10d98812bc586e9a4ac)

* added FashionMNIST dataset

* documentation

* fixed formatting

* fixed formatting