delete parrots-awared code of roi extractor

[chenyuwang814]

Motivation

SenseParrots has already aligned some apis of autograd with pytorch so that requiring grad of "feats" is no longer needed by parrots, which will also cause an error.

Modification

We deleted a bunch of parrots-awared code within roi extractor so that the parameter "feats" no longer requires grad.

[CLAassistant]

All committers have signed the CLA.

[ZwwWayne]

Hi @chenyuwang814 ,

Thanks for your kind PR. It seems that CLA is not signed. Could you sign the CLA so that eventually we could merge this PR after review? You can check the contents and follow the instruction in the communication box shown as below

[zytx121]

LGTM

[codecov]

Codecov Report

Base: 64.15% // Head: 64.13% // Decreases project coverage by -0.02% ⚠️

Coverage data is based on head (81c3ba5) compared to base (31c8495).
Patch has no changes to coverable lines.

Additional details and impacted files

@@            Coverage Diff             @@
##              dev    #9503      +/-   ##
==========================================
- Coverage   64.15%   64.13%   -0.03%     
==========================================
  Files         361      361              
  Lines       29583    29581       -2     
  Branches     5033     5032       -1     
==========================================
- Hits        18980    18971       -9     
- Misses       9599     9602       +3     
- Partials     1004     1008       +4     

Flag	Coverage Δ
unittests	64.11% <ø> (-0.02%)	⬇️

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

Impacted Files	Coverage Δ
...heads/roi_extractors/single_level_roi_extractor.py	92.00% <ø> (+3.53%)	⬆️
mmdet/utils/setup_env.py	88.00% <0.00%> (-4.00%)	⬇️
mmdet/core/bbox/assigners/sim_ota_assigner.py	80.00% <0.00%> (-3.64%)	⬇️
mmdet/models/roi_heads/mask_heads/maskiou_head.py	87.35% <0.00%> (-2.30%)	⬇️
mmdet/core/bbox/assigners/max_iou_assigner.py	72.36% <0.00%> (-1.32%)	⬇️
mmdet/datasets/builder.py	52.08% <0.00%> (-1.05%)	⬇️

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[ZwwWayne]

We need to migrate this PR into MMDet 3.x

[openmmlab-bot]

Dear chenyuwang814,
First of all, we want to express our gratitude for your significant PR in the MMDet 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 are looking forward to continuing our collaboration with you. OpenMMLab has established a special contributors' organization called MMSIG, which provides contributors with open-source certificates, a recognition system, and exclusive rewards. You can contact us by adding our WeChat（if you have WeChat): openmmlabwx, or join in our discord：https://discord.gg/raweFPmdzG. We sincerely hope you will join us!
Best regards！ @chenyuwang814