[Bug] NuImages inference fails with TypeError: MaskRCNN doesn't accept 'pretrained' argument"

[ElAlamiY]

Prerequisite

• I have searched Issues and Discussions but cannot get the expected help.
• I have read the FAQ documentation but cannot get the expected help.
• The bug has not been fixed in the latest version (dev-1.x) or latest version (dev-1.0).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

main branch https://github.com/open-mmlab/mmdetection3d

Environment

Environment

• MMDetection3D: v1.4.0
• MMDetection: v3.3.0
• MMCV: v2.1.0
• MMEngine: v0.10.7
• PyTorch: 1.13.1
• Python: 3.10
• CUDA: 11.8

Reproduces the problem - code sample

model = dict(
type='MaskRCNN',
pretrained='torchvision://resnet50',
scope='mmdet',
backbone=dict(
type='ResNet',
depth=50,
...
),
...
)

Inside the config

Reproduces the problem - command or script

python tools/test.py
configs/nuimages/mask-rcnn_r50_fpn_1x_nuim.py
mask_rcnn_r50_fpn_1x_nuim_20201008_195238-e99f5182.pth

Reproduces the problem - error message

TypeError: MaskRCNN.init() got an unexpected keyword argument 'pretrained'

Additional information

The expected result is for inference to run. I am using NuImages as Dataset to evaluate the model.
From what I have seen all NuImages models use pretrained key in their config. But when running the test tool, I get the error