GitLab

* type annotations for torchvision/utils.py

* add missing annotation for make_grid

* fix annotation for save_image

* mirror PIL annotation for fp

Summary: Fix docstring formatting issues

Reviewed By: fmassa

Differential Revision: D20736644

fbshipit-source-id: 78f66045cfd4c84cb35ca84a1e1fa6aadcd50642
Co-authored-by: Patrick Labatut <plabatut@fb.com>

* format param added

* lint fixes

* lint fixes

* lint fixes

* Fix bug of changing input tensor in function

The original code will change the image tensor passed in by multiplying it by 255. The PR fixes that.

* fix inplace multiplication in save_image

* fix save_image when height or width == 1

* test_save_image_single_pixel

Fixes https://github.com/pytorch/vision/issues/397

* load densenet tensors onto cpu

* fix uneven padding in make_grid

* revert incorrectly added commit

* DOC fixed typo in make_grid argument name

* DOC document "padding" make_grid argument

* Add documentation for transforms

* document and remove unused imports in mnist.py

* document lsun, mscoco datasets

* rest of the datasets documented

* Clean up the documentation in other functions

* Add links for datasets

* Add more documentation

* pep8 fix

* add pad_value argument

* add argument to save_image

* fix space

* requested change of order

* update docs

* clipping values, and replacing transposes with permute

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.

* replaced clip with clamp

This reverts commit 2f579d58.

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.

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!

    git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i