GitLab

* add half support

* add cpu implementation

* fix bugs, load with inline asm

* better vector load

* add comments

* added clearml logger support

* review fixes

* review fixes

* enhance get_torchvision_models

* simplify logic

* Dump ckpt in torchvision lower than 0.13.0 to a json file

* add json

* refactor load urls logic

* fix unit test

* change url key to lower letters

* check torchvision version rather than check torch version in unittest

* Fix CI and refine test logic of torchvision version

* add comment

* support compare pre-release version

* support loaad modeel like torchvision

* refine comment.

* fix unit test and comment

* fxi unit test bug

* support get model by lower weights

* [Fix] get correct encoding in Windows for collect_env()

* stdout.fileno()

* None parsing fixed for config

* Formatting

* Lower case none fix

* Fixed version comparison to include prerelease versions

Currently all tagged versions of torch 1.11.0 have version 1.11.0a0. Previously the comparison to 1.11.0 failed and self._sync_params() was still used, causing an error. This fix should include all versions of 1.11.

* Same update

Didn't realize that 1.11.0 was mentioned multiple times in the file. This fixes the other instances.

* implement runner on IPU

* adjust import

* adjust import

* add ignore for ipu on without ipu

* remove compilation cache

* remove ipu from mmcv/runner.__all__

* adjust IS_IPU and IS_MLU

* adjust by isort

* add ipuHardwareIsAvailable

* remove engine_cache

* code review 9

- Add MLU operator kernels.

* [Refactor] Move is_mlu_available to mmcv/utils/device_type.py

* remove comma

* fix isort

* [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>

To have the same shape of MLU copy and Scatter.forward, a 1-dim list has to be added.

Origin MMDP / MMDDP with this scatter_gather returns a list of tensor for each targets, and here MLU copy returns the same shape Tensor in a list of just one default target.

* diff_iou_rotated is working

* add test; fix lint

* fix lint for test

* disable cpu build

* refactor files structure

* fix comments

* remove extra .repeat()

* add comment

* fix j-1 bug; update doc

* fix clang lint

* update docstrings

* fix comments

* fix comments

* Make sure padding size is not negative

If Resize maintains aspect ratio, could be the case that image shape is bigger than resize value.

* Test pad shape smaller than image shape

* Fix lint

* Remove whitespaces

* add gather_keep_from_mask_parallize

* remove unused cache

* move syncthread

* remove unused comment

* add more comments, rename the kernel and variable

* feat(MLU): Support PyTorch backend on MLU

  * MMCV support PyTorch backend on MLU

  * Add MLUDataParallel and MLUDistributedDataParallel

  * Add MLU operator support

* [Fix]: Fix PR comments and add IS_MLU to get device available check

* [Fix]: fix PR comments of dist_utils.py

* [Doc] Rewrite annotations of functions.

* [Docs] Rewrite annotation in distributed.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [Docs] Fix lint
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Speed up Registry initialization

This PR addresses https://github.com/open-mmlab/mmcv/issues/1843.

Instead of calling inspect.stack() to read the entire stack and its
associated source files from disk, walk up the stack to get only the
specific frame that we need (see [1] for additional information).

This makes imports in downstream projects ~2.5x faster in my local dev
environment. For mmaction2, for example:

Before:

    $ python -m timeit -n1 -r1 "from mmaction.apis import init_recognizer, inference_recognizer"
    1 loop, best of 1: 1.94 sec per loop

After:

    $ python -m timeit -n1 -r1 "from mmaction.apis import init_recognizer, inference_recognizer"
    1 loop, best of 1: 754 msec per loop

[1] https://stackoverflow.com/a/42636264/895769

* Add comment with PR tag

Explain why we avoid `inspect.stack()` with link to PR

* optimize forward

* fast backward

* fix bugs of grad input2

* [feat]:support find free port in _init_dist_slurm

* fix format

* Update mmcv/runner/dist_utils.py

should support port taken by a non-localhost address.
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>

* Update dist_utils.py

Add Copyright.

* rename inner function

* Update mmcv/runner/dist_utils.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* fix dist_utils.py

change _is_port_in_use() criterion.

* Update dist_utils.py

rename _is_port_in_use to _is_free_port

* Update mmcv/runner/dist_utils.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Update dist_utils.py

fix lint

* Update dist_utils.py

fix lint
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [fix] fix collect_env() on Windows

* fix(utils): add back 'Cuda compilation tools' to nvcc info

* feat(utils): find default ccompiler

* fix(utils, test): parse cl.exe version instead of path

* fix: code style

* fix(tools): use distutils

* [fix] collect_env() returns GCC or MSVC

* [fix] unitest for collect_env()

* add comments

* test: add GCC to expected_keys

* fix: code style

* Update mmcv/utils/env.py

* Fix python3.10 ci

* fix build ci

* fix build ci

* fix onnx build in ci

* remove onnx optimizer

* remove python3.10 ci

* special treatment for py3.10

* fix build ci

* special treatment for python3.10 in requirements/test

* fix requirements/test

* update support for linearly learning rate decay

* Fix LinearAnnealingLrUpdaterHook, update LinearAnnealingMomentumUpdaterHook, add unit test

add docstring

add docstring

update linear lr momentum schedule test

fix ci

Fix CI

* add lr and momentum hook to runner and hooks package

add lr and momentum hook to runner and hooks package

* replace multi_optimziers with multi_optimizers
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>

* fix pt111 dist

* fix val step

* fix voxelization bug

* fix code

* rename grad_sampling_loc and grad_attn_weight

* recover cache initialize

* [Docs] Add more windows information in README

* minor fix

* rename MacOS to macOS

* implement corner pool with python for torch<1.5

* fix for torch130

* [fix] config ignore modules and functions

* add unitest

* add python3.10 ci

* fix github workflow