Use libjpeg-turbo

.github/scripts/setup-env.sh

@@ -34,15 +34,17 @@ if [[ "${OS_TYPE}" == "macos" && $(uname -m) == x86_64 ]]; then
 fi
 
 echo '::group::Create build environment'
-# See https://github.com/pytorch/vision/issues/7296 for ffmpeg
+# 1. `libjpeg-turbo` is only available for macOS and Windows on the `defaults` conda channel. Thus, we need to pull it
+#    in from the `pytorch-nightly` channel on Linux
+# 2. See https://github.com/pytorch/vision/issues/7296 for ffmpeg
 conda create \
   --name ci \
   --quiet --yes \
+  --channel=defaults --channel=pytorch-nightly
   python="${PYTHON_VERSION}" pip \
   ninja cmake \
-  libpng jpeg \
+  libpng libjpeg-turbo \
   'ffmpeg<4.3'
-conda activate ci
 pip install --progress-bar=off --upgrade setuptools
 
 # See https://github.com/pytorch/vision/issues/6790

packaging/pre_build_script.sh

@@ -13,8 +13,8 @@ fi
 
 if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
   # Install libpng from Anaconda (defaults)
-  conda install libpng "jpeg<=9b" -yq
-  conda install -yq ffmpeg=4.2 -c pytorch
+  conda install libpng -yq
+  conda install -yq ffmpeg=4.2 libjpeg-turbo -c pytorch
 
   # Copy binaries to be included in the wheel distribution
   if [[ "$OSTYPE" == "msys" ]]; then

packaging/torchvision/meta.yaml

@@ -10,7 +10,7 @@ requirements:
   build:
     - {{ compiler('c') }} # [win]
     - libpng
-    - jpeg
+    - libjpeg-turbo
     # NOTE: The only ffmpeg version that we build is actually 4.2
     - ffmpeg >=4.2  # [not win]
 
@@ -28,7 +28,7 @@ requirements:
     - requests
     - libpng
     - ffmpeg >=4.2  # [not win]
-    - jpeg
+    - libjpeg-turbo
     - pillow >=5.3.0, !=8.3.*
     - pytorch-mutex 1.0 {{ build_variant }}  # [not osx ]
     {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
@@ -62,7 +62,7 @@ test:
   requires:
     - pytest
     - scipy
-    - jpeg
+    - libjpeg-turbo
     - ca-certificates