GitLab

* Add MMSyncBN in registery

* skip mmsyncbn test

* move fuse conv bn to mmcv

* update doc

* update test conv bn

* rename

* fix doc and variable name

* change func name

* Refator plugins: move from ops to cnn

* minior update

* minior update

* fix bug of building ConvModule with HSigmoid using inplace=True and add corresponding unittest

* fix linting

* add ext ops, support parrots

* fix lint

* fix lint

* update op from mmdetection

* support non-pytorch env

* fix import bug

* test not import mmcv.op

* rename mmcv.op to mmcv.ops

* fix compile warning

* 1. fix syncbn warning in pytorch 1.5
2. support only cpu compile
3. add point_sample from mmdet

* fix text bug

* update docstrings

* fix line endings

* minor updates

* remove non_local from ops

* bug fix for nonlocal2d

* rename ops_ext to _ext and _ext to _flow_warp_ext

* update the doc

* try clang-format github action

* fix github action

* add ops to api.rst

* fix cpp format

* fix clang format issues

* remove .clang-format
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* Add utils to calculate model complexity info

* remove _InstanceNorm in unittest

* add docstring and increase unittest coverage

* fix deconv_flops_counter_hook to accept different data shape

* test when model is not a common instance

* put flops_counter.py and weight_init.py into mmcv/cnn/utils folder

* fix import name

* reformat some docstrings

* update the scripts with latest one and remove redundant codes

* directly represent a model without string and eval()

* reformat code

* add hswish and hsigmoid

* fix linting

* fix linting

* delete useless staticmethod in cnn/bricks/hsigmoid.py

* forward(x) ==> forward(seld, x)

* add unittests for hsigmoid and hswish

* use torch.equal instead of numpy.equal

* add non_local module

* rewrite non local module comments

* perfect docstring and adjust init function

* not to init norm layer

* Correct initialize when there is a norm

* set normal method for both embedded_gaussian and dot_product

* fix: tanh has not inplace

* feat: add ConvModule with Tanh

* Support conv layers' own `init_weights` method

* Add related unittest about ConvModule init_weight

* make the comments more specific

* use parrots wrapper for norms

* add unittests for is_norm()

* add a test case

* add building bricks of cnn

* add unit tests

* use registry for building bricks

* minor updates

* add scale layer

* add test for scale

* add doc string
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>