mmcv and mmsegmentation versions incompatability in Docker environment

[kaavyyaashri]

I am trying to run the code in a docker container, using the pytorch image of version 1.11.0-cuda11.3-cudnn8
the error:
Traceback (most recent call last):
File "SRRM.py", line 20, in
from vit_adapter import build_vit_adapter
File "/app/ViT-Adapter/segmentation/mmseg_custom/models/backbones/vit_adapter.py", line 8, in
from mmseg.models.builder import BACKBONES
File "/opt/conda/lib/python3.8/site-packages/mmseg/init.py", line 61, in
assert (mmcv_min_version <= mmcv_version < mmcv_max_version),
AssertionError: MMCV==2.2.0 is used but incompatible. Please install mmcv>=2.0.0rc4.

I am trying to use the semantic segmentation which is pre-trained on the ADE20K dataset on the custom dataset
Please help me with this issue.