diff --git a/.github/scripts/linux/test_full_pipeline.sh b/.github/scripts/linux/test_full_pipeline.sh
index 1ed0ec0221..0a4998dd69 100644
--- a/.github/scripts/linux/test_full_pipeline.sh
+++ b/.github/scripts/linux/test_full_pipeline.sh
@@ -58,7 +58,7 @@ if [ $backend == "trt" ]; then
 fi
 
 # prepare dataset
-wget -P data/ https://github.com/open-mmlab/mmdeploy/files/9401216/imagenet-val100.zip
+wget -P data/ https://github.com/open-mmlab/mmdeploy/releases/download/v0.1.0/imagenet-val100.zip
 unzip data/imagenet-val100.zip -d data/
 
 echo "Running test with $backend"
diff --git a/.github/scripts/prepare_reg_test.py b/.github/scripts/prepare_reg_test.py
index b135dae71f..b2d8b0295c 100644
--- a/.github/scripts/prepare_reg_test.py
+++ b/.github/scripts/prepare_reg_test.py
@@ -70,19 +70,19 @@ def run_cmd(cmd_lines, log_path=None, raise_error=True):
 
 
 def prepare_codebases(codebases):
-    run_cmd(['python -m mim install "mmcv>=2.0.0"'])
     for codebase in codebases:
         full_name = REPO_NAMES[codebase]
         target_dir = os.path.join(MMDEPLOY_DIR, '..', full_name)
         branch = 'main'
-        if codebase in ['mmrotate', 'mmdet3d']:
-            branch = 'dev-1.x'
-        if not osp.exists(target_dir):
-            run_cmd([
-                'git clone --depth 1 ', f'-b {branch} '
-                f'https://github.com/open-mmlab/{full_name}.git '
-                f'{target_dir} '
-            ])
+        if codebase == 'mmrotate':
+            branch = 'v1.0.0rc1'
+        if osp.exists(target_dir):
+            shutil.rmtree(target_dir)
+        run_cmd([
+            'git clone --depth 1 ', f'-b {branch} '
+            f'https://github.com/open-mmlab/{full_name}.git '
+            f'{target_dir} '
+        ])
         run_cmd([
             'python -m mim install ',
             f'-r {target_dir}/requirements/mminstall.txt ',
diff --git a/.github/scripts/windows/test_full_pipeline.ps1 b/.github/scripts/windows/test_full_pipeline.ps1
index fd374b7fc9..377611120d 100644
--- a/.github/scripts/windows/test_full_pipeline.ps1
+++ b/.github/scripts/windows/test_full_pipeline.ps1
@@ -56,7 +56,7 @@ python tools\deploy.py `
   --dump-info
 
 # prepare dataset
-Invoke-WebRequest -Uri https://github.com/open-mmlab/mmdeploy/files/9401216/imagenet-val100.zip -OutFile $pwd\data\imagenet-val100.zip
+Invoke-WebRequest -Uri https://github.com/open-mmlab/mmdeploy/releases/download/v0.1.0/imagenet-val100.zip -OutFile $pwd\data\imagenet-val100.zip
 Add-Type -AssemblyName System.IO.Compression.FileSystem ; [System.IO.Compression.ZipFile]::ExtractToDirectory("$pwd\data\imagenet-val100.zip", "$pwd\data\")
 
 Write-Host "Running test with ort"
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index bf2a5d89eb..d31eb947a8 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -25,10 +25,8 @@ jobs:
     runs-on: ubuntu-20.04
     strategy:
       matrix:
-        torch: [1.8.0, 1.9.0]
+        torch: [1.9.0]
         include:
-          - torch: 1.8.0
-            torchvision: 0.9.0
           - torch: 1.9.0
             torchvision: 0.10.0
     steps:
@@ -44,7 +42,7 @@ jobs:
           python -m pip install openmim
           python -m pip install -r requirements.txt
           python -m pip install -r requirements/backends.txt
-          python -m mim install "mmcv>=2.0.0"
+          python -m mim install "mmcv==2.0.1"
           python -m mim install -r requirements/codebases.txt
           python -m pip install clip numba transformers numpy==1.23 albumentations
           python -m pip list
@@ -180,7 +178,7 @@ jobs:
           python -m pip install --no-cache-dir openmim
           python -m pip install --no-cache-dir -r requirements.txt
           python -m pip install --no-cache-dir -r requirements/backends.txt
-          python -m mim install "mmcv>=2.0.0"
+          python -m mim install "mmcv==2.0.1"
           python -m pip install --no-cache-dir -r requirements/codebases.txt
           python -m pip install --no-cache-dir -U pycuda numpy==1.23 clip numba transformers albumentations
           python -m pip list
@@ -245,7 +243,7 @@ jobs:
           python -m pip install --no-cache-dir openmim
           python -m pip install --no-cache-dir -r requirements.txt
           python -m pip install --no-cache-dir -r requirements/backends.txt
-          python -m mim install --no-cache-dir "mmcv>=2.0.0"
+          python -m mim install --no-cache-dir "mmcv==2.0.1"
           python -m pip install --no-cache-dir -r requirements/codebases.txt
           python -m pip install --no-cache-dir -U pycuda numpy clip numba transformers albumentations
           python -m pip list
diff --git a/.github/workflows/regression-test.yml b/.github/workflows/regression-test.yml
index e3638e1a72..4e4fa24c13 100644
--- a/.github/workflows/regression-test.yml
+++ b/.github/workflows/regression-test.yml
@@ -115,6 +115,7 @@ jobs:
           python -m pip install opencv-python==4.5.4.60 opencv-python-headless==4.5.4.60 opencv-contrib-python==4.5.4.60
           python .github/scripts/prepare_reg_test.py --torch-version ${{ matrix.torch_version }} --codebases ${{ matrix.codebase}}
           python -m pip install -r requirements.txt
+          python -m pip install --upgrade rich
           python -m pip list
       - name: Install mmdeploy with sdk
         run: |
diff --git a/docs/en/01-how-to-build/rockchip.md b/docs/en/01-how-to-build/rockchip.md
index bb5da8e427..53e13c3bda 100644
--- a/docs/en/01-how-to-build/rockchip.md
+++ b/docs/en/01-how-to-build/rockchip.md
@@ -20,7 +20,7 @@ It is recommended to create a virtual environment for the project.
    git clone git@github.com:rockchip-linux/rknn-toolkit2.git
    ```
 
-2. Install RKNN python package following [rknn-toolkit2 doc](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) or [rknn-toolkit doc](https://github.com/rockchip-linux/rknn-toolkit/tree/master/doc). When installing rknn python package, it is better to append `--no-deps` after the commands to avoid dependency conflicts. RKNN-Toolkit2 package for example:
+2. Install RKNN python package following [rknn-toolkit2 doc](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) or [rknn-toolkit doc](https://github.com/rockchip-linux/rknn-toolkit/tree/master/docs). When installing rknn python package, it is better to append `--no-deps` after the commands to avoid dependency conflicts. RKNN-Toolkit2 package for example:
 
    ```
    pip install packages/rknn_toolkit2-1.4.0_22dcfef4-cp36-cp36m-linux_x86_64.whl --no-deps
diff --git a/docs/zh_cn/01-how-to-build/rockchip.md b/docs/zh_cn/01-how-to-build/rockchip.md
index b44e10b8da..495e7ac876 100644
--- a/docs/zh_cn/01-how-to-build/rockchip.md
+++ b/docs/zh_cn/01-how-to-build/rockchip.md
@@ -53,7 +53,7 @@ MMDeploy 支持把模型部署到瑞芯微设备上。已支持的芯片：RV112
       <tr>
         <td>RK3566 / RK3568 / RK3588 / RV1103 / RV1106</td>
         <td><code>git clone https://github.com/rockchip-linux/rknn-toolkit2</code></td>
-        <td><a href="https://github.com/rockchip-linux/rknn-toolkit/tree/master/doc">安装指南</a></td>
+        <td><a href="https://github.com/rockchip-linux/rknn-toolkit/tree/master/docs">安装指南</a></td>
       </tr>
     </tbody>
     </table>
diff --git a/mmdeploy/mmcv/ops/nms.py b/mmdeploy/mmcv/ops/nms.py
index 226eca48f2..145d78c374 100644
--- a/mmdeploy/mmcv/ops/nms.py
+++ b/mmdeploy/mmcv/ops/nms.py
@@ -368,6 +368,8 @@ def _multiclass_nms_single(boxes: Tensor,
         bbox_index = box_inds.unsqueeze(0)
         if pre_top_k > 0:
             bbox_index = pre_topk_inds[None, box_inds]
+        # pad index to keep same dim as dets and labels
+        bbox_index = torch.cat([bbox_index, -bbox_index.new_ones((1, 1))], 1)
         if keep_top_k > 0:
             bbox_index = bbox_index[:, topk_inds]
         return dets, labels, bbox_index
diff --git a/requirements/codebases.txt b/requirements/codebases.txt
index 56c0dbb7d5..6ea09408c6 100644
--- a/requirements/codebases.txt
+++ b/requirements/codebases.txt
@@ -1,8 +1,8 @@
-mmagic>=1.0.0
-mmdet>=3.0.0
-mmdet3d>=1.1.0rc2
-mmocr>=1.0.0
-mmpose>=1.0.0
-mmpretrain>=1.0.0rc7
-mmrotate>=1.0.0rc0
-mmsegmentation>=1.0.0
+mmagic==1.0.0
+mmdet==3.0.0
+mmdet3d==1.3.0
+mmocr==1.0.0
+mmpose==1.0.0
+mmpretrain==1.0.0
+mmrotate==1.0.0rc1
+mmsegmentation==1.0.0
diff --git a/tests/regression/mmdet.yml b/tests/regression/mmdet.yml
index c7dc1d9a73..f22b2db7dc 100644
--- a/tests/regression/mmdet.yml
+++ b/tests/regression/mmdet.yml
@@ -213,7 +213,7 @@ models:
       - configs/retinanet/retinanet_r50_fpn_1x_coco.py
     pipelines:
       - *pipeline_ts_fp32
-      - *pipeline_ort_dynamic_fp16
+      - *pipeline_ort_dynamic_fp32
       - *pipeline_trt_dynamic_fp32
       - *pipeline_ncnn_static_fp32
       - *pipeline_pplnn_dynamic_fp32
@@ -330,7 +330,7 @@ models:
       - configs/mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py
     pipelines:
       - *pipeline_seg_ts_fp32
-      - *pipeline_seg_ort_dynamic_fp16
+      - *pipeline_seg_ort_dynamic_fp32
       - *pipeline_seg_trt_dynamic_fp32
       - *pipeline_seg_openvino_dynamic_fp32
 
diff --git a/tests/regression/mmocr.yml b/tests/regression/mmocr.yml
index 6e3769743b..d29d095014 100644
--- a/tests/regression/mmocr.yml
+++ b/tests/regression/mmocr.yml
@@ -248,7 +248,7 @@ models:
       - configs/textdet/dbnet/dbnet_resnet18_fpnc_1200e_icdar2015.py
     pipelines:
       - *pipeline_ts_detection_fp32
-      - *pipeline_ort_detection_dynamic_fp16
+      - *pipeline_ort_detection_dynamic_fp32
       - *pipeline_trt_detection_dynamic_fp16
       - *pipeline_ncnn_detection_static_fp32
       - *pipeline_pplnn_detection_dynamic_fp32
@@ -312,7 +312,7 @@ models:
       - configs/textrecog/crnn/crnn_mini-vgg_5e_mj.py
     pipelines:
       - *pipeline_ts_recognition_fp32
-      - *pipeline_ort_recognition_dynamic_fp16
+      - *pipeline_ort_recognition_dynamic_fp32
       - *pipeline_trt_recognition_dynamic_fp16_H32_C1
       - *pipeline_ncnn_recognition_static_fp32
       - *pipeline_pplnn_recognition_dynamic_fp32
diff --git a/tests/regression/mmseg.yml b/tests/regression/mmseg.yml
index 832b4f761a..2c0f8c1427 100644
--- a/tests/regression/mmseg.yml
+++ b/tests/regression/mmseg.yml
@@ -220,7 +220,7 @@ models:
     model_configs:
       - configs/bisenetv1/bisenetv1_r18-d32_4xb4-160k_cityscapes-1024x1024.py
     pipelines:
-      - *pipeline_ort_dynamic_fp16
+      - *pipeline_ort_dynamic_fp32
       - *pipeline_trt_dynamic_fp16
       - *pipeline_ncnn_static_fp32
       - *pipeline_openvino_dynamic_fp32