fix version and resource_class & image name

.circleci/docker/Dockerfile

@@ -2,6 +2,8 @@ ARG PYTORCH="1.8.1"
 ARG CUDA="10.2"
 ARG CUDNN="7"
 
+ARG DEBIAN_FRONTEND=noninteractive
+
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 # To fix GPG key error when running apt-get update

.circleci/test.yml

@@ -90,11 +90,17 @@ jobs:
         type: integer
         default: 8
     machine:
-      image: ubuntu-2004-cuda-11.4:202110-01
+      image: linux-cuda-11:default
       # docker_layer_caching: true
     resource_class: gpu.nvidia.small
     steps:
       - checkout
+      - run:
+          name: Install nvidia-container-toolkit and Restart Docker
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y nvidia-container-toolkit
+            sudo systemctl restart docker
       - run:
           # Cloning repos in VM since Docker doesn't have access to the private key
           name: Clone Repos

mmdet3d/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '1.2.0'
+__version__ = '1.3.0'
 short_version = __version__