GitLab

Changes made in 7716aba5 broke calls to this method.

* GPU efficient Densenets

* removed `import math`

* Changed 'efficient' to 'memory_efficient'

* Add tests

* Bugfix in test

* Fix lint

* Remove unecessary formatting

* allow user to define residual settings

* 4spaces

* linting errors

* backward compatible, and added test

* adding mixed precision training with Apex

* fix APEX default optimization level

* adding python version check for apex

* fix LINT errors and raise exceptions if apex not available

* updating docs for randomperspective

* my

* ci

* added fake data

* fixed fake data

* renamed extract and download methods and added functionality

* added raw fake data

* refactored imagenet and added test

* flake8

* added fake devkit and mocked download_url

* reversed uncommenting

* added mock to CI

* fixed tests for imagefolder

* flake8

Add 'import torch' in example

* add more hub models

* fix lint

* make C extension lazy-import

* add lazy loading to roi_pool

* modif of the STL10 loader

* missing space

* Fix STL10 repr

* Do not inherit from Cifar10

* Make it safer to inherit from VisionDataset

* WIP

* WIP: minor improvements

* Add tests

* Fix typo

* Use download_and_extract on caltech, cifar and omniglot

* Add a print message during extraction

* Remove EMNIST from test

* add USPS dataset

* minor fixes

* Improvements to the USPS dataset

Add it to the documentation, expose it to torchvision.datasets
and inherit from VisionDataset

Consider the difference of the division operator between Python 2.x and Python 3.x.

* Allow forcing GPU build with FORCE_CUDA=1

This is convenient to e.g. build with GPU support inside a docker image

* Document FORCE_CUDA

* #944
  MSBuild Compile time casting Error

* #944
 MSBuild Error  static_cast<Long> to static_cast<int64_t>

* Add eval.py
 Not Work find_contours

* Remove unnecessary file

* Lint

Updated nms_cuda signature to accept detections and scores as separate tensors.
This also required updating the indexing in the NMS CUDA kernel.

Also made the iou_threshold parameter name consistent across implementations.

This reverts commit 06b9b0fc.

Allows for easily evaluating the pre-trained models in the modelzoo

This makes it consistent with the other models, which returns nouns in plurial

Also adds documentation for the segmentation models