Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Feature] Support RoiAlign With Cambricon MLU Backend #1429

Merged
merged 1 commit into from
Nov 22, 2021

Conversation

zihanchang11
Copy link
Contributor

@zihanchang11 zihanchang11 commented Oct 22, 2021

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

The motivation of the PR is to support running RoiAlign with Cambricon MLU backend.

It includes three parts:

Refactor roi_align.cpp and roi_align_backward.cpp to support dispatching to MLU.
Add roi_align.cpp, roi_align_backward.cpp, roi_align_internal. mlu, roi_align_backward_internal.mlu cpp and bang src code.
Refactor test_roi_align.py to support testing roi_align with MLU backend.

Modification

Please briefly describe what modification is made in this PR.

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

Before PR:

  • I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
  • Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
  • Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
  • New functionalities are covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with some of those projects, like MMDet or MMCls.
  • CLA has been signed and all committers have signed the CLA in this PR.

@zhouzaida zhouzaida added the MLU label Oct 22, 2021
@zhouzaida zhouzaida changed the base branch from master to mlu October 22, 2021 14:34
Copy link
Member

@grimoire grimoire left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Forward and backward should not be put in different files.

tests/test_ops/test_roi_align.py Show resolved Hide resolved
tests/test_ops/test_roi_align.py Outdated Show resolved Hide resolved
@grimoire
Copy link
Member

Hi, you can merge open-mmlab:mlu to this branch so we can use is_cuda and is_mlu here.

Copy link
Member

@zhouzaida zhouzaida left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@zhouzaida zhouzaida merged commit 0900a63 into open-mmlab:mlu Nov 22, 2021
zhouzaida added a commit that referenced this pull request Apr 16, 2022
* [Feature] Add roiaware pool3d ops from mmdet3d (#1382)

* add ops (roiaware pool3d) in mmdet3d

* refactor code

* fix typo

Co-authored-by: zhouzaida <zhouzaida@163.com>

* [Feature] Add iou3d op from mmdet3d (#1356)

* add ops (iou3d) in mmdet3d

* add unit test

* refactor code

* refactor code

* refactor code

* refactor code

* refactor code

Co-authored-by: zhouzaida <zhouzaida@163.com>

* [Fix] Update test data for test_iou3d (#1427)

* Update test data for test_iou3d

* delete blank lines

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [Feature] Add group points ops from mmdet3d (#1415)

* add op (group points) and its related ops (ball query and knn) in mmdet3d

* refactor code

* fix typo

* refactor code

* fix typo

* refactor code

* make input contiguous

Co-authored-by: zhouzaida <zhouzaida@163.com>

* add mmdet3d op (#1425)

Co-authored-by: zhouzaida <zhouzaida@163.com>

* [Feature] Loading objects from different backends and dumping objects to different backends (#1330)

* [Feature] Choose storage backend by the prefix of filepath

* refactor FileClient and add unittest

* support loading from different backends

* polish docstring

* fix unittet

* rename attribute str_like_obj to is_str_like_obj

* add infer_client method

* add check_exist method

* rename var client to file_client

* polish docstring

* add join_paths method

* remove join_paths and add _format_path

* enhance unittest

* refactor unittest

* singleton pattern

* fix test_clientio.py

* deprecate CephBackend

* enhance docstring

* refactor unittest for petrel

* refactor unittest for disk backend

* update io.md

* add concat_paths method

* improve docstring

* improve docstring

* add isdir and copyfile for file backend

* delete copyfile and add get_local_path

* remove isdir method of petrel

* fix typo

* add comment and polish docstring

* polish docstring

* rename _path_mapping to _map_path

* polish docstring and fix typo

* refactor get_local_path

* add list_dir_or_file for FileClient

* add list_dir_or_file for PetrelBackend

* fix windows ci

* Add return docstring

* polish docstring

* fix typo

* fix typo

* deprecate the conversion from Path to str

* add docs for loading checkpoints with FileClient

* refactor map_path

* add _ensure_methods to ensure methods have been implemented

* fix list_dir_or_file

* rename _ensure_method_implemented to has_method

* Add CI for pytorch 1.10 (#1431)

* [Feature] Upload checkpoints and logs to ceph (#1375)

* [Feature] Choose storage backend by the prefix of filepath

* refactor FileClient and add unittest

* support loading from different backends

* polish docstring

* fix unittet

* rename attribute str_like_obj to is_str_like_obj

* [Docs] Upload checkpoint to petrel oss

* add infer_client method

* Support uploading checkpoint to petrel oss

* add check_exist method

* refactor CheckpointHook

* support uploading logs to ceph

* rename var client to file_client

* polish docstring

* enhance load_from_ceph

* refactor load_from_ceph

* refactor TextLoggerHook

* change the meaning of out_dir argument

* fix test_checkpoint_hook.py

* add join_paths method

* remove join_paths and add _format_path

* enhance unittest

* refactor unittest

* add a unittest for EvalHook when file backend is petrel

* singleton pattern

* fix test_clientio.py

* deprecate CephBackend

* add warning in load_from_ceph

* fix type of out_suffix

* enhance docstring

* refactor unittest for petrel

* refactor unittest for disk backend

* update io.md

* add concat_paths method

* fix CI

* mock check_exist

* improve docstring

* improve docstring

* improve docstring

* improve docstring

* add isdir and copyfile for file backend

* delete copyfile and add get_local_path

* remove isdir method of petrel

* fix typo

* rename check_exists to exists

* refactor code and polish docstring

* fix windows ci

* add comment and polish docstring

* polish docstring

* polish docstring

* rename _path_mapping to _map_path

* polish docstring and fix typo

* refactor get_local_path

* add list_dir_or_file for FileClient

* add list_dir_or_file for PetrelBackend

* fix windows ci

* Add return docstring

* polish docstring

* fix typo

* fix typo

* fix typo

* fix error when mocking PetrelBackend

* deprecate the conversion from Path to str

* add docs for loading checkpoints with FileClient

* rename keep_log to keep_local

* refactor map_path

* add _ensure_methods to ensure methods have been implemented

* fix list_dir_or_file

* rename _ensure_method_implemented to has_method

* refactor

* polish information

* format information

* bump version to v1.3.16 (#1430)

* [Fix]: Update test data of test_tin_shift (#1426)

* Update test data of test_tin_shift

* Delete tmp.engine

* add pytest raises asserterror test

* raise valueerror, update test log

* add more comment

* Apply suggestions from code review

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* fix the wrong function reference bug in BaseTransformerLayer when batch_first is True (#1418)

* [Docs] Add mmcv itself in the docs list (#1441)

* Add mmcv itself in the docs list

* modify link of docs

* [Improve] improve checkpoint loading log (#1446)

* [Feature] Support SigmoidFocalLoss with Cambricon MLU backend (#1346)

* [Feature] Support SigmoidFocalLoss with Cambricon MLU backend

* refactor MMCV_WITH_MLU macro define

* refactor NFU_ALIGN_SIZE, PAD_DOWN and split_pipeline_num

* delete extra fool proofing in cpp

* [Feature] Support SigmoidFocalLossBackward with Cambricon MLU backend

* fix macro definition in SigmoidFocalLoss

* refactor mlu files into clang-format

* refactor sigmoid focal loss test

* refactor Sigmoid Focal Loss file structure.

* fix python lint error

* fix import torch_mlu error type

* fix lint

* refactor clang format style to google

Co-authored-by: zhouzaida <zhouzaida@163.com>

* [Feature] Support RoiAlign With Cambricon MLU Backend (#1429)

* [Feature] Support NMS with cambricon MLU backend (#1467)

* [Feature] Support BBoxOverlaps with cambricon MLU backend (#1507)

* [Refactor] Format C++ code

* [Refactor] include common_mlu_helper in pytorch_mlu_helper and refactor build condition

* [Improve] Improve the performance of roialign, nms and focalloss with MLU backend (#1572)

* [Improve] Improve the performance of roialign with MLU backend

* replace CHECK_MLU with CHECK_MLU_INPUT

* [Improve] Improve the perf of nms and focallosssigmoid with MLU backend

* [Improve] Improve the performance of roialign with MLU backend (#1741)

* [Feature] Support tin_shift with cambricon MLU backend (#1696)

* [Feature] Support tin_shift with cambricon MLU backend

* [fix] Add the assertion of batch_size in tin_shift.py

* [fix] fix the param check of tin_shift in cambricon code

* [fix] Fix lint failure.

* [fix] Fix source file lint failure.

* Update mmcv/ops/tin_shift.py

[Refactor] Modify the code in mmcv/ops/tin_shift.py.

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

Co-authored-by: budefei <budefei@cambricon.com>
Co-authored-by: budefei <budefei@cambricom.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* resolve conflicts and fix lint

* fix mmcv.utils.__init__

* fix mmcv.utils.__init__

* Fix lints and change FLAG

* fix setup and refine

* remove a redundant line

* remove an unnecessary 'f'

* fix compilation error

Co-authored-by: dingchang <hudingchang.vendor@sensetime.com>
Co-authored-by: zhouzaida <zhouzaida@163.com>
Co-authored-by: q.yao <yaoqian@sensetime.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Co-authored-by: pc <luopeichao@sensetime.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: q.yao <streetyao@live.com>
Co-authored-by: Tong Gao <gaotongxiao@gmail.com>
Co-authored-by: Yuxin Liu <liuyuxin@cambricon.com>
Co-authored-by: zihanchang11 <92860914+zihanchang11@users.noreply.github.com>
Co-authored-by: shlrao <shenglong.rao@gmail.com>
Co-authored-by: zhouchenyang <zcy19950525@gmail.com>
Co-authored-by: Mrxiaofei <36697723+Mrxiaofei@users.noreply.github.com>
Co-authored-by: budefei <budefei@cambricon.com>
Co-authored-by: budefei <budefei@cambricom.com>
@OpenMMLab-Coodinator
Copy link

Hi @zihanchang11 !First of all, we want to express our gratitude for your significant PR in the MMCV project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us :https://discord.gg/raweFPmdzG

If you are Chinese or have WeChat,welcome to join our community on WeChat. You can add our assistant :openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends:)
Thank you again for your contribution❤

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants