Support receptive field search of CNN models. (TPAMI paper rf-next)

[lzyhha]

Motivation

Merging a general receptive field search method to mmseg.
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks TPAMI 2022)

RF-Next can improve the performance of many CNN networks on many tasks and has been merge in mmdet and mmcv.
more results on https://github.com/ShangHua-Gao/RF-mmdetection/tree/rfsearch/configs/rfnext

Modification

Add rfnext.

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repos?
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

1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMDet3D.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[codecov]

Codecov Report

Base: 88.95% // Head: 88.79% // Decreases project coverage by -0.15% ⚠️

Coverage data is based on head (2ff3e32) compared to base (ed83982).
Patch coverage: 53.33% of modified lines in pull request are covered.

❗ Current head 2ff3e32 differs from pull request most recent head d932f73. Consider uploading reports for the commit d932f73 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2439      +/-   ##
==========================================
- Coverage   88.95%   88.79%   -0.16%     
==========================================
  Files         146      147       +1     
  Lines        8753     8721      -32     
  Branches     1474     1389      -85     
==========================================
- Hits         7786     7744      -42     
- Misses        725      735      +10     
  Partials      242      242              

Flag	Coverage Δ
unittests	88.79% <53.33%> (-0.16%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmseg/utils/rfnext.py	29.41% <29.41%> (ø)
mmseg/datasets/face.py	80.00% <80.00%> (ø)
mmseg/datasets/__init__.py	100.00% <100.00%> (ø)
mmseg/models/decode_heads/knet_head.py	93.75% <100.00%> (ø)
mmseg/utils/__init__.py	100.00% <100.00%> (ø)
mmseg/models/segmentors/base.py	56.03% <0.00%> (-3.17%)	⬇️
mmseg/core/hook/wandblogger_hook.py	16.19% <0.00%> (-1.74%)	⬇️
mmseg/models/decode_heads/cascade_decode_head.py	92.30% <0.00%> (-0.55%)	⬇️
mmseg/models/necks/fpn.py	57.14% <0.00%> (-0.55%)	⬇️
mmseg/ops/encoding.py	91.66% <0.00%> (-0.44%)	⬇️
... and 20 more

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[lzyhha]

The weights and logs. link