GitLab

* Encapsulate and standardize deform_conv2d (#3074)

* Rename files.

* Standardizing method names.

* Adding anonymous namespaces.

* Applying C++ naming rules and alinging variable names across headers and cpp files.

* Syncing names across implementations.

* Rename deform_conv2d.h to deform_conv2d.cpp

* Use header files:
- Create header files for kernel implementation and remove definitions from vision_*.h files.
- Eliminate unnecessary headers and ensure all cpp include their headers.

* Change the naming convention for kernel implementations.

* Remove the _param postfix from the variables and standardizing names.

* Exposing public forward/backward methods to the C++ API and moving methods around to minimize git blame changes.

* Encapsulate and standardize nms (#3081)

* Syncing, where possible, the names of functions across devices.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Update CMakeLists.txt to include all headers.

* Encapsulate and standardize ps_roi_align (#3082)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.
Syncing, where possible, the names of functions across devices.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize ps_roi_pool (#3084)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize roi_align (#3085)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize roi_pool  (#3088)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Syncing variable names between the cpp files and their header files.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize new_empty_tensor_op (#3089)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Create foreach cpp file a separate header file with "public" functions.

* Adding all internal functions in anonymous namespaces.

* Convert to const ref all possible parameters.

* Removing unnecessary repeated includes.

* Encapsulate and standardize C++ Ops - Clean up (#3094)

* Removing unnecessary repeated includes.

* Remove unnecessary vision_cpu.h, vision_cuda.h, autocast.h.

* Fixing naming convention and correcting method names on macros.

* Turn on clang formatter for cu files and fixing broken styles.

* Replace "#ifndef ... #define ... #endif" with "#pragma once" on header files.

* Adding operator methods in vision::ops namespace. (#3096)

* Adding operator methods in vision::ops namespace.

* Replace general.h with macros.h

* Adding vision.h to the necessary cpp files.

Fixes https://github.com/pytorch/vision/issues/2214#issuecomment-628636663

I don't know why the building is not working with `--expt-relaxed-constexpr` flag set, but it is generally a good idea to declare this as `__host__ __device__`

* Don't include CUDAApplyUtils.cuh

* fix format

* fix atomic

* Initial layout for layers with cpp extensions

* Move files around

* Fix import after move

* Add support for multiple types to ROIAlign

* Different organization

CUDA extensions work now

* Cleanups

* Reduce memory requirements for backwards

* Replace runtime_error by AT_ERROR

* Add nms test

* Add support for compilation using CPP extensions

* Change folder structure

* Add ROIPool cuda

* Cleanups

* Add roi_pool.py

* Fix lint

* Add initial structures folder for bounding boxes

* Assertion macros compatible with pytorch master (#540)

* Support for ROI Pooling (#592)

* ROI Pooling with tests. Fix for cuda context in ROI Align.

* renamed bottom and top to follow torch conventions

* remove .type().tensor() calls in favor of the new approach to tensor initialization (#626)

* Consistent naming for rois variable (#627)

* remove .type().tensor() calls in favor of the new approach to tensor initialization

* Consistent naming for rois variable in ROIPool

* ROIPool: Support for all datatypes (#632)

* Use of torch7 naming scheme for ROIAlign forward and backward

* use common cuda helpers in ROIAlign

* use .options() in favor of .type() where applicable

* Added tests for forward pass of ROIAlign, as well as more consistent naming scheme for CPU vs CUDA

* working ROIAlign cuda backwards pass

* working ROIAlign backwards pass for CPU

* added relevant headers for ROIAlign backwards

* tests for ROIAlign layer

* replace .type() with .options() for tensor initialization in ROIAlign layers

* support for Half types in ROIAlign

* gradcheck tests for ROIAlign

* updated ROIPool on CPU to work with all datatypes

* updated and cleaned tests for ROI Pooling

* Fix rebase problem

* Remove structures folder

* Improve cleanup and bugfix in test_layers

* Update C++ headers

* Add CUDAGuard to cu files

* Add more checks to layers

* Add CUDA NMS and tests

* Add multi-type support for NMS CUDA

* Avoid using THCudaMalloc

* Add clang-format and reformat c++ code

* Remove THC includes

* Rename layers to ops

* Add documentation and rename functions

* Improve the documentation a bit

* Fix some lint errors

* Fix remaining lint inssues

* Area computation doesn't add +1 in NMS

* Update CI to use PyTorch nightly

* Make NMS return indices sorted according to the score

* Address reviewer comments

* Lint fixes

* Improve doc for roi_align and roi_pool

* move to xenial

* Fix bug pointed by @lopuhin

* Fix RoIPool reference implementation in Python 2

Also fixes a bug in the clip_boxes_to_image -- this function needs a test!

* Remove change in .travis