add CI job for prototype tests

.circleci/config.yml.in

@@ -254,6 +254,27 @@ jobs:
             pip install --user pytest
             python test/test_onnx.py
 
+  prototype_test:
+    docker:
+      - image: circleci/python:3.7
+    steps:
+      - run:
+          name: Install torch
+          command: pip install --user --progress-bar=off --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+      - run:
+          name: Install prototype dependencies
+          command: pip install --user --progress-bar=off git+https://github.com/pytorch/data.git
+      - checkout
+      - run:
+          name: Install torchvision
+          command: pip install --user --progress-bar off --no-build-isolation .
+      - run:
+          name: Install test utilities
+          command: pip install --user --progress-bar=off pytest
+      - run:
+          name: Run tests
+          command: pytest test/test_prototype_*.py
+
   binary_linux_wheel:
     <<: *binary_common
     docker:
@@ -977,6 +998,7 @@ workflows:
       - clang_format
       - torchhub_test
       - torch_onnx_test
+      - prototype_test
       {{ ios_workflows() }}
       {{ android_workflows() }}
 
@@ -998,6 +1020,7 @@ workflows:
       - clang_format
       - torchhub_test
       - torch_onnx_test
+      - prototype_test
       {{ ios_workflows(nightly=True) }}
       {{ android_workflows(nightly=True) }}
       {{ build_workflows(prefix="nightly_", filter_branch="nightly", upload=True) }}

.circleci/unittest/linux/scripts/install.sh

@@ -26,10 +26,6 @@ fi
 printf "Installing PyTorch with %s\n" "${cudatoolkit}"
 conda install -y -c "pytorch-${UPLOAD_CHANNEL}" "pytorch-${UPLOAD_CHANNEL}"::pytorch "${cudatoolkit}" pytest
 
-printf "Installing torchdata from source"
-pip install git+https://github.com/pytorch/data.git
-
-
 if [ $PYTHON_VERSION == "3.6" ]; then
     printf "Installing minimal PILLOW version\n"
     # Install the minimal PILLOW version. Otherwise, let setup.py install the latest

.circleci/unittest/linux/scripts/run_test.sh

@@ -7,4 +7,4 @@ conda activate ./env
 
 export PYTORCH_TEST_WITH_SLOW='1'
 python -m torch.utils.collect_env
-pytest --cov=torchvision --junitxml=test-results/junit.xml -v --durations 20 test --ignore=test/test_datasets_download.py
+pytest --cov=torchvision --junitxml=test-results/junit.xml -v --durations 20

.circleci/unittest/windows/scripts/install.sh

@@ -29,10 +29,6 @@ printf "Installing PyTorch with %s\n" "${cudatoolkit}"
 # conda-forge channel is required for cudatoolkit 11.1 on Windows, see https://github.com/pytorch/vision/issues/4458
 conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c conda-forge "pytorch-${UPLOAD_CHANNEL}"::pytorch "${cudatoolkit}" pytest
 
-printf "Installing torchdata from source"
-pip install git+https://github.com/pytorch/data.git
-
-
 if [ $PYTHON_VERSION == "3.6" ]; then
     printf "Installing minimal PILLOW version\n"
     # Install the minimal PILLOW version. Otherwise, let setup.py install the latest

.circleci/unittest/windows/scripts/run_test.sh

@@ -10,4 +10,4 @@ source "$this_dir/set_cuda_envs.sh"
 
 export PYTORCH_TEST_WITH_SLOW='1'
 python -m torch.utils.collect_env
-pytest --cov=torchvision --junitxml=test-results/junit.xml -v --durations 20 test --ignore=test/test_datasets_download.py
+pytest --cov=torchvision --junitxml=test-results/junit.xml -v --durations 20

pytest.ini

@@ -6,5 +6,7 @@ addopts =
     --tb=native
     # enable all warnings
     -Wd
+    --ignore=test/test_datasets_download.py
+    --ignore-glob=test/test_prototype_*.py
 testpaths =
     test

test/test_prototype_datasets.py

@@ -0,0 +1,2 @@
+def test_smoke():
+    import torchvision.prototype.datasets  # noqa: F401

test/test_prototype_models.py

@@ -0,0 +1,2 @@
+def test_smoke():
+    import torchvision.prototype.models  # noqa: F401