[Enhancement] Update the installation of MMCV

.github/workflows/build.yml

@@ -34,15 +34,15 @@ jobs:
           ]
         include:
           - torch: 1.5.1+cu101
-            torch_version: torch1.5.1
+            torch_version: torch1.5
             torchvision: 0.6.1+cu101
             mmcv: 1.5.0
           - torch: 1.7.0+cu101
-            torch_version: torch1.7.0
+            torch_version: torch1.7
             torchvision: 0.8.1+cu101
             mmcv: 1.7.0
           - torch: 1.8.0+cu101
-            torch_version: torch1.8.0
+            torch_version: torch1.8
             torchvision: 0.9.0+cu101
             mmcv: 1.8.0
 
@@ -101,7 +101,7 @@ jobs:
         torch: [1.9.0+cu102]
         include:
           - torch: 1.9.0+cu102
-            torch_version: torch1.9.0
+            torch_version: torch1.9
             torchvision: 0.10.0+cu102
             mmcv: 1.9.0
 

docs/en/get_started.md

@@ -118,6 +118,7 @@ conda activate open-mmlab
 conda install pytorch==1.7.0 torchvision==0.8.0 cudatoolkit=10.1 -c pytorch -y
 
 # install the latest mmcv
+# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
 pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.7.0/index.html
 
 # install mmgeneration
@@ -127,6 +128,13 @@ pip install -r requirements.txt
 pip install -v -e .
 ```
 
+To be noted that, mmcv-full is only compiled on PyTorch 1.x.0 because the compatibility usually holds between 1.x.0 and 1.x.1. If your PyTorch version is 1.x.1, you can install mmcv-full compiled with PyTorch 1.x.0 and it usually works well.
+
+```shell
+# We can ignore the micro version of PyTorch
+pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10/index.html
+```
+
 ### Developing with multiple MMGeneration versions
 
 The train and test scripts already modify the `PYTHONPATH` to ensure the script uses the `MMGeneration` in the current directory.