[v0.8.X] .circleci: Add Python 3.9 to CI

.circleci/config.yml.in

@@ -48,11 +48,11 @@ binary_common: &binary_common
     build_version:
       description: "version number of release binary; by default, build a nightly"
       type: string
-      default: "0.8.0"
+      default: "0.8.2"
     pytorch_version:
       description: "PyTorch version to build against; by default, use a nightly"
       type: string
-      default: "1.7.0"
+      default: "1.7.1"
     # Don't edit these
     python_version:
       description: "Python version to build against (e.g., 3.7)"
@@ -368,7 +368,11 @@ jobs:
             set -x
             eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
             conda env remove -n python${PYTHON_VERSION} || true
-            conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
+            CONDA_CHANNEL_FLAGS=""
+            if [[ "${PYTHON_VERSION}" = 3.9 ]]; then
+              CONDA_CHANNEL_FLAGS="-c=conda-forge"
+            fi
+            conda create ${CONDA_CHANNEL_FLAGS} -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
             conda activate python${PYTHON_VERSION}
             conda install Pillow
             conda install -v -y -c pytorch-nightly pytorch
@@ -393,7 +397,11 @@ jobs:
           command: |
             set -x
             eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
-            conda env remove -n python${PYTHON_VERSION} || true
+            CONDA_CHANNEL_FLAGS=""
+            if [[ "${PYTHON_VERSION}" = 3.9 ]]; then
+              CONDA_CHANNEL_FLAGS="-c=conda-forge"
+            fi
+            conda create ${CONDA_CHANNEL_FLAGS} -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
             conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
             conda activate python${PYTHON_VERSION}
             pip install $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/nightly/torch_nightly.html
@@ -464,7 +472,7 @@ jobs:
           {% endraw %}
       - run:
           name: Setup
-          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/setup_env.sh
+          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD -e PYTHON_VERSION "${image_name}" .circleci/unittest/linux/scripts/setup_env.sh
       - save_cache:
           {% raw %}
           key: env-v2-linux-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
@@ -474,7 +482,7 @@ jobs:
             - env
       - run:
           name: Install torchvision
-          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD -e UPLOAD_CHANNEL "${image_name}" .circleci/unittest/linux/scripts/install.sh
+          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD -e UPLOAD_CHANNEL -e CU_VERSION "${image_name}" .circleci/unittest/linux/scripts/install.sh
       - run:
           name: Run tests
           command: docker run -t --gpus all -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/run_test.sh

.circleci/regenerate.py

@@ -19,7 +19,7 @@
 import os.path
 
 
-PYTHON_VERSIONS = ["3.6", "3.7", "3.8"]
+PYTHON_VERSIONS = ["3.6", "3.7", "3.8", "3.9"]
 
 
 def build_workflows(prefix='', filter_branch=None, upload=False, indentation=6, windows_latest_only=False):

.circleci/unittest/linux/scripts/environment.yml

@@ -1,17 +1,19 @@
 channels:
   - pytorch
   - defaults
+  # using conda-forge for python v3.9+
+  - conda-forge
 dependencies:
   - numpy
   - pytest
   - pytest-cov
   - codecov
   - pip
   - libpng
-  - jpeg
+  - jpeg <= 9b
   - ca-certificates
+  - av
   - pip:
     - future
     - pillow>=4.1.1
     - scipy
-    - av

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

@@ -22,8 +22,14 @@ else
     version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
     cudatoolkit="cudatoolkit=${version}"
 fi
+
+CONDA_CHANNEL_FLAGS=""
+if [[ "$(python --version)" = *3.9* ]]; then
+  CONDA_CHANNEL_FLAGS="-c=conda-forge"
+fi
+
 printf "Installing PyTorch with %s\n" "${cudatoolkit}"
-conda install -y -c "pytorch-${UPLOAD_CHANNEL}" pytorch "${cudatoolkit}"
+conda install -y -c "pytorch-${UPLOAD_CHANNEL}" ${CONDA_CHANNEL_FLAGS} pytorch "${cudatoolkit}"
 
 printf "* Installing torchvision\n"
 python setup.py develop

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

@@ -6,4 +6,4 @@ eval "$(./conda/bin/conda shell.bash hook)"
 conda activate ./env
 
 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 test --ignore=test/test_datasets_download.py

.circleci/unittest/windows/scripts/environment.yml

@@ -1,18 +1,20 @@
 channels:
   - pytorch
   - defaults
+  # use conda-forge for python v3.9+
+  - conda-forge
 dependencies:
   - numpy
   - pytest
   - pytest-cov
   - codecov
   - pip
   - libpng
-  - jpeg
+  - jpeg <= 9b
   - ca-certificates
+  - av
   - pip:
     - future
     - pillow>=4.1.1
-    - scipy==1.4.1
-    - av
+    - scipy>=1.4.1
     - dataclasses

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

@@ -24,8 +24,14 @@ else
     version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
     cudatoolkit="cudatoolkit=${version}"
 fi
+
+CONDA_CHANNEL_FLAGS=""
+if [[ "$(python --version)" = *3.9* ]]; then
+  CONDA_CHANNEL_FLAGS="-c=conda-forge"
+fi
+
 printf "Installing PyTorch with %s\n" "${cudatoolkit}"
-conda install -y -c "pytorch-${UPLOAD_CHANNEL}" pytorch "${cudatoolkit}"
+conda install -y -c "pytorch-${UPLOAD_CHANNEL}" ${CONDA_CHANNEL_FLAGS} pytorch "${cudatoolkit}"
 
 printf "* Installing torchvision\n"
 "$this_dir/vc_env_helper.bat" python setup.py develop

packaging/pkg_helpers.bash

@@ -179,10 +179,13 @@ setup_wheel_python() {
   if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
     eval "$(conda shell.bash hook)"
     conda env remove -n "env$PYTHON_VERSION" || true
-    conda create -yn "env$PYTHON_VERSION" python="$PYTHON_VERSION"
+    if [[ "$PYTHON_VERSION" == 3.9 ]]; then
+      export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c=conda-forge"
+    fi
+    conda create ${CONDA_CHANNEL_FLAGS} -yn "env$PYTHON_VERSION" python="$PYTHON_VERSION"
     conda activate "env$PYTHON_VERSION"
     # Install libpng from Anaconda (defaults)
-    conda install libpng jpeg -y
+    conda install ${CONDA_CHANNEL_FLAGS} -c conda-forge libpng "jpeg<=9b" -y
   else
     # Install native CentOS libJPEG, LAME, freetype and GnuTLS
     yum install -y libjpeg-turbo-devel lame freetype gnutls
@@ -198,6 +201,7 @@ setup_wheel_python() {
       3.6) python_abi=cp36-cp36m ;;
       3.7) python_abi=cp37-cp37m ;;
       3.8) python_abi=cp38-cp38 ;;
+      3.9) python_abi=cp39-cp39 ;;
       *)
         echo "Unrecognized PYTHON_VERSION=$PYTHON_VERSION"
         exit 1
@@ -272,6 +276,9 @@ setup_conda_pytorch_constraint() {
   if [[ "$OSTYPE" == msys && "$CU_VERSION" == cu92 ]]; then
     export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c defaults -c numba/label/dev"
   fi
+  if [[ "$PYTHON_VERSION" == 3.9 ]]; then
+    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c=conda-forge"
+  fi
 }
 
 # Translate CUDA_VERSION into CUDA_CUDATOOLKIT_CONSTRAINT

packaging/torchvision/meta.yaml

@@ -9,7 +9,7 @@ requirements:
   build:
     - {{ compiler('c') }} # [win]
     - libpng
-    - jpeg
+    - jpeg <=9b
 
   host:
     - python
@@ -21,7 +21,7 @@ requirements:
   run:
     - python
     - libpng
-    - jpeg
+    - jpeg <=9b
     - pillow >=4.1.1
     - numpy >=1.11
     {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
@@ -48,7 +48,8 @@ test:
   requires:
     - pytest
     - scipy
-    - av =8.0.1
+    - av >=8.0.1
+    - jpeg <=9b
     - ca-certificates
     {{ environ.get('CONDA_TYPING_CONSTRAINT') }}
 

setup.py

@@ -330,7 +330,9 @@ def get_extensions():
         ))
 
     ffmpeg_exe = distutils.spawn.find_executable('ffmpeg')
-    has_ffmpeg = ffmpeg_exe is not None
+    # Disable ffmpeg by default
+    no_ffmpeg = os.environ.get("NO_FFMPEG", True)
+    has_ffmpeg = ffmpeg_exe is not None and not no_ffmpeg
     print("FFmpeg found: {}".format(has_ffmpeg))
 
     if has_ffmpeg:

test/test_video.py

@@ -276,6 +276,7 @@ def _template_read_video(video_object, s=0, e=None):
     return video_frames, audio_frames, video_object.get_metadata()
 
 
+@unittest.skip("ffmpeg isn't included in this release skip these tests")
 @unittest.skipIf(_HAS_VIDEO_OPT is False, "Didn't compile with ffmpeg")
 class TestVideo(unittest.TestCase):
     @unittest.skipIf(av is None, "PyAV unavailable")

test/test_video_reader.py

@@ -269,6 +269,7 @@ def _get_video_tensor(video_dir, video_file):
     return full_path, video_tensor
 
 
+@unittest.skip("ffmpeg was not included in this release")
 @unittest.skipIf(av is None, "PyAV unavailable")
 @unittest.skipIf(_HAS_VIDEO_OPT is False, "Didn't compile with ffmpeg")
 class TestVideoReader(unittest.TestCase):