diff --git a/.circleci/test.yml b/.circleci/test.yml
index 8ead3de0a8..efa9342303 100644
--- a/.circleci/test.yml
+++ b/.circleci/test.yml
@@ -98,10 +98,10 @@ jobs:
         type: string
       cuda:
         type: enum
-        enum: ["10.1", "10.2", "11.1"]
+        enum: ["11.0"]
       cudnn:
         type: integer
-        default: 7
+        default: 8
     machine:
       image: ubuntu-2004-cuda-11.4:202110-01
       # docker_layer_caching: true
@@ -114,9 +114,15 @@ jobs:
             docker build .circleci/docker -t mmaction:gpu --build-arg PYTORCH=<< parameters.torch >> --build-arg CUDA=<< parameters.cuda >> --build-arg CUDNN=<< parameters.cudnn >>
             docker run --gpus all -t -d -v /home/circleci/project:/mmaction -w /mmaction --name mmaction mmaction:gpu
             docker exec mmaction apt-get update
+            docker exec mmaction pip install "numpy==1.23"
             docker exec mmaction apt-get upgrade -y
             docker exec mmaction apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libturbojpeg pkg-config
             docker exec mmaction apt-get install -y libavdevice-dev libavfilter-dev libopus-dev libvpx-dev libsrtp2-dev libsndfile1
+      - run:
+          name: Install PytorchVideo and timm
+          command: |
+            docker exec mmaction pip install timm
+            docker exec mmaction python -m pip install pytorchvideo
       - run:
           name: Install mmaction dependencies
           command: |
@@ -126,21 +132,6 @@ jobs:
             docker exec mmaction pip install git+https://git@github.com/open-mmlab/mmdetection.git@dev-3.x
             docker exec mmaction pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
             docker exec mmaction pip install -r requirements.txt
-      - when:
-          condition:
-            equal: [ "1.8.1", << parameters.torch >> ]
-          steps:
-            - run: docker exec mmaction pip install timm
-      - when:
-          condition:
-            equal: [ "1.6.0", << parameters.torch >> ]
-          steps:
-            - run: docker exec mmaction pip install timm==0.6.7
-      - when:
-          condition:
-            equal: [ "10.2", << parameters.cuda >> ]
-          steps:
-            - run: docker exec mmaction python -m pip install pytorchvideo
       - run:
           name: Build and install
           command: |
@@ -159,7 +150,7 @@ workflows:
             branches:
               ignore:
                 - dev-1.x
-                - 1.x
+                - main
   pr_stage_test:
     when:
       not:
@@ -171,7 +162,7 @@ workflows:
             branches:
               ignore:
                 - dev-1.x
-                - 1.x
+                - main
       - build_cpu:
           name: minimum_version_cpu
           torch: 1.6.0
@@ -195,7 +186,7 @@ workflows:
           torch: 1.8.1
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "10.2"
+          cuda: "11.0"
           requires:
             - hold
   merge_stage_test:
@@ -205,11 +196,12 @@ workflows:
     jobs:
       - build_cuda:
           name: minimum_version_gpu
-          torch: 1.6.0
+          torch: 1.7.1
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "10.1"
+          cuda: "11.0"
           filters:
             branches:
               only:
                 - dev-1.x
+                - main
diff --git a/mmaction/datasets/transforms/pose_transforms.py b/mmaction/datasets/transforms/pose_transforms.py
index 76e09dacd8..0abb987551 100644
--- a/mmaction/datasets/transforms/pose_transforms.py
+++ b/mmaction/datasets/transforms/pose_transforms.py
@@ -1348,7 +1348,7 @@ def transform(self, results: Dict) -> Dict:
             else:
                 inds = self._get_train_clips(num_frames, clip_len)
             inds = np.mod(inds, num_frames)
-            results[f'{modality}_inds'] = inds.astype(np.int)
+            results[f'{modality}_inds'] = inds.astype(np.int32)
             modalities.append(modality)
         results['clip_len'] = self.clip_len
         results['frame_interval'] = None