Add torch2.1.0 checking in CI

.circleci/docker/Dockerfile

@@ -8,6 +8,8 @@ FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 # https://github.com/pytorch/pytorch/issues/37377
 ENV MKL_THREADING_LAYER GNU
 
+ARG DEBIAN_FRONTEND=noninteractive
+
 # To fix GPG key error when running apt-get update
 RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
 RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

.circleci/test.yml

@@ -169,16 +169,22 @@ jobs:
         type: string
       cuda:
         type: enum
-        enum: ["10.1", "10.2", "11.1", "11.7"]
+        enum: ["10.1", "10.2", "11.1", "11.7", "11.8"]
       cudnn:
         type: integer
         default: 7
     machine:
-      image: ubuntu-2004-cuda-11.4:202110-01
+      image: linux-cuda-11:default
       docker_layer_caching: true
-    resource_class: gpu.nvidia.small
+    resource_class: gpu.nvidia.small.multi
     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:
           name: Build Docker image
           command: |
@@ -240,8 +246,8 @@ workflows:
             - build_without_ops
       - build_cpu:
           name: maximum_version_cpu
-          torch: 2.0.0
-          torchvision: 0.15.1
+          torch: 2.1.0
+          torchvision: 0.16.0
           python: 3.9.0
           requires:
             - minimum_version_cpu
@@ -257,10 +263,10 @@ workflows:
             - hold_cuda_test
       - build_cuda:
           name: maximum_version_gpu
-          torch: 2.0.0
+          torch: 2.1.0
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "11.7"
+          cuda: "11.8"
           cudnn: 8
           requires:
             - hold_cuda_test
@@ -281,10 +287,10 @@ workflows:
                 - main
       - build_cuda:
           name: maximum_version_gpu
-          torch: 2.0.0
+          torch: 2.1.0
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "11.7"
+          cuda: "11.8"
           cudnn: 8
           filters:
             branches:

.github/workflows/build_macos_wheel.yml

@@ -8,11 +8,11 @@ concurrency:
 
 jobs:
   build_macos10_wheel:
-    runs-on: macos-10.15
+    runs-on: macos-latest
     if: contains(github.event.head_commit.message, 'Bump version to')
     strategy:
       matrix:
-        torch: [1.8.0, 1.9.0, 1.10.0, 1.11.0, 1.12.0, 1.13.0, 2.0.0]
+        torch: [1.8.0, 1.9.0, 1.10.0, 1.11.0, 1.12.0, 1.13.0, 2.0.0, 2.1.0]
         python-version: [3.7, 3.8, 3.9, '3.10', '3.11']
         include:
           - torch: 1.8.0
@@ -29,6 +29,8 @@ jobs:
             torchvision: 0.14.0
           - torch: 2.0.0
             torchvision: 0.15.1
+          - torch: 2.1.0
+            torchvision: 0.16.0
         exclude:
           - torch: 1.8.0
             python-version: '3.10'
@@ -52,6 +54,8 @@ jobs:
             python-version: '3.11'
           - torch: 2.0.0
             python-version: 3.7
+          - torch: 2.1.0
+            python-version: 3.7
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python

.github/workflows/merge_stage_test.yml

@@ -114,7 +114,7 @@ jobs:
     strategy:
       matrix:
         python-version: [3.7]
-        torch: [1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0, 2.0.0]
+        torch: [1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0, 2.0.0, 2.1.0]
         include:
           - torch: 1.8.1
             torchvision: 0.9.1
@@ -131,9 +131,14 @@ jobs:
           - torch: 2.0.0
             torchvision: 0.15.1
             python-version: 3.8
+          - torch: 2.1.0
+            torchvision: 0.16.0
+            python-version: 3.8
         exclude:
           - torch: 2.0.0
             python-version: 3.7
+          - torch: 2.1.0
+            python-version: 3.7
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
@@ -311,13 +316,13 @@ jobs:
     runs-on: windows-2019
     strategy:
       matrix:
-        torch: [1.8.1, 2.0.0]
+        torch: [1.8.1, 2.1.0]
         include:
           - torch: 1.8.1
             torchvision: 0.9.1
             python-version: 3.7
-          - torch: 2.0.0
-            torchvision: 0.15.1
+          - torch: 2.1.0
+            torchvision: 0.16.0
             python-version: 3.8
     steps:
       - uses: actions/checkout@v2
@@ -343,13 +348,13 @@ jobs:
     runs-on: macos-latest
     strategy:
       matrix:
-        torch: [1.8.1, 2.0.0]
+        torch: [1.8.1, 2.1.0]
         include:
           - torch: 1.8.1
             torchvision: 0.9.1
             python-version: 3.7
-          - torch: 2.0.0
-            torchvision: 0.15.1
+          - torch: 2.1.0
+            torchvision: 0.16.0
             python-version: 3.8
     steps:
       - uses: actions/checkout@v2

.github/workflows/pr_stage_test.yml

@@ -132,13 +132,13 @@ jobs:
     runs-on: windows-2019
     strategy:
       matrix:
-        torch: [1.8.1, 2.0.0]
+        torch: [1.8.1, 2.1.0]
         include:
           - torch: 1.8.1
             torchvision: 0.9.1
             python-version: 3.7
-          - torch: 2.0.0
-            torchvision: 0.15.1
+          - torch: 2.1.0
+            torchvision: 0.16.0
             python-version: 3.8
     steps:
       - uses: actions/checkout@v2
@@ -164,13 +164,13 @@ jobs:
     runs-on: macos-latest
     strategy:
       matrix:
-        torch: [1.8.1, 2.0.0]
+        torch: [1.8.1, 2.1.0]
         include:
           - torch: 1.8.1
             torchvision: 0.9.1
             python-version: 3.7
-          - torch: 2.0.0
-            torchvision: 0.15.1
+          - torch: 2.1.0
+            torchvision: 0.16.0
             python-version: 3.8
     steps:
       - uses: actions/checkout@v2

mmcv/cnn/bricks/generalized_attention.py

@@ -371,7 +371,7 @@ def forward(self, x_input: torch.Tensor) -> torch.Tensor:
                 contiguous().\
                 view(1, 1, h*w, h_kv*w_kv)
 
-            energy = energy.masked_fill_(cur_local_constraint_map,
+            energy = energy.masked_fill_(cur_local_constraint_map.bool(),
                                          float('-inf'))
 
         attention = F.softmax(energy, 3)