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[Feature] Support tin_shift with cambricon MLU backend #1696

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merged 6 commits into from
Mar 29, 2022

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@defei-coder defei-coder commented Jan 27, 2022

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 tin_shift forward and backward with Cambricon MLU backend.

It includes four parts:

  • Add tin_shift_mlu_kernel.mlu src code as mlu kernel.
  • Add tin_shift_mlu.cpp and refactor tin_shift.cpp to support dispatching to MLU in pytorch.
  • Refactor test_tin_shift.py to support testing tin_shift with MLU backend.
  • Fix the lack of assertion of batch_size in tin_shift.py.

Modification

  1. MLU source code
  • Add MLU src code of tin_shift in directory mmcv/ops/csrc/common/mlu/tin_shift_mlu_kernel.mlu.
  1. Dispatch
  • Add dispatching to TINShiftForwardMLUKernelLauncher and TINShiftBackwardMLUKernelLauncher in mmcv/ops/csrc/pytorch/tin_shift.cpp.
  1. Pytorch adaptation
  • Adapt tin_shift for pytorch in mmcv/ops/csrc/pytorch/mlu/tin_shift_mlu.cpp.
  • Add assertion of batch_size in mmcv/ops/tin_shift.py.
  1. Unit test
  • Surpport test tin_shift with various backends in test/test_ops/test_tin_shift.py.

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)

Please refer to mmcv/tests/test_ops/test_tin_shift.py.

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.

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All committers have signed the CLA.

@zhouzaida zhouzaida added the MLU label Jan 27, 2022
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CLA assistant check Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.

budefei seems not to be a GitHub user. You need a GitHub account to be able to sign the CLA. If you have already a GitHub account, please add the email address used for this commit to your account.
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Hi, thanks for your contribution. Please sign the CLA.

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budefei commented Mar 1, 2022

@zhouzaida Hi, sorry for that. I registered github and CLA with budefei just now.

@zhouzaida zhouzaida requested review from grimoire and AllentDan March 15, 2022 03:16
@zhouzaida zhouzaida requested a review from teamwong111 March 21, 2022 03:15
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LGTM

mmcv/ops/tin_shift.py Outdated Show resolved Hide resolved
[Refactor] Modify the code in mmcv/ops/tin_shift.py.

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
@zhouzaida zhouzaida merged commit 8fe8d3f into open-mmlab:mlu Mar 29, 2022
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>
@defei-coder defei-coder deleted the tin_shift branch March 27, 2023 07:14
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Hi @defei-coder !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

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