diff --git a/packaging/pkg_helpers.bash b/packaging/pkg_helpers.bash
deleted file mode 100644
index e7e5e7c436f..00000000000
--- a/packaging/pkg_helpers.bash
+++ /dev/null
@@ -1,352 +0,0 @@
-# A set of useful bash functions for common functionality we need to do in
-# many build scripts
-
-
-# Setup CUDA environment variables, based on CU_VERSION
-#
-# Inputs:
-#   CU_VERSION (cpu, cu92, cu100)
-#   NO_CUDA_PACKAGE (bool)
-#   BUILD_TYPE (conda, wheel)
-#
-# Outputs:
-#   VERSION_SUFFIX (e.g., "")
-#   PYTORCH_VERSION_SUFFIX (e.g., +cpu)
-#   WHEEL_DIR (e.g., cu100/)
-#   CUDA_HOME (e.g., /usr/local/cuda-9.2, respected by torch.utils.cpp_extension)
-#   FORCE_CUDA (respected by torchvision setup.py)
-#   NVCC_FLAGS (respected by torchvision setup.py)
-#
-# Precondition: CUDA versions are installed in their conventional locations in
-# /usr/local/cuda-*
-#
-# NOTE: Why VERSION_SUFFIX versus PYTORCH_VERSION_SUFFIX?  If you're building
-# a package with CUDA on a platform we support CUDA on, VERSION_SUFFIX ==
-# PYTORCH_VERSION_SUFFIX and everyone is happy.  However, if you are building a
-# package with only CPU bits (e.g., torchaudio), then VERSION_SUFFIX is always
-# empty, but PYTORCH_VERSION_SUFFIX is +cpu (because that's how you get a CPU
-# version of a Python package.  But that doesn't apply if you're on OS X,
-# since the default CU_VERSION on OS X is cpu.
-setup_cuda() {
-
-  # First, compute version suffixes.  By default, assume no version suffixes
-  export VERSION_SUFFIX=""
-  export PYTORCH_VERSION_SUFFIX=""
-  export WHEEL_DIR=""
-  # Wheel builds need suffixes (but not if they're on OS X, which never has suffix)
-  if [[ "$BUILD_TYPE" == "wheel" ]] && [[ "$(uname)" != Darwin ]]; then
-    export PYTORCH_VERSION_SUFFIX="+$CU_VERSION"
-    # Match the suffix scheme of pytorch, unless this package does not have
-    # CUDA builds (in which case, use default)
-    if [[ -z "$NO_CUDA_PACKAGE" ]]; then
-      export VERSION_SUFFIX="$PYTORCH_VERSION_SUFFIX"
-      export WHEEL_DIR="$CU_VERSION/"
-    fi
-  fi
-
-  # Now work out the CUDA settings
-  case "$CU_VERSION" in
-    cu121)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.1"
-      else
-        export CUDA_HOME=/usr/local/cuda-12.1/
-      fi
-      export TORCH_CUDA_ARCH_LIST="5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"
-      ;;
-    cu118)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.8"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.8/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"
-      ;;
-    cu117)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.7/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
-      ;;
-    cpu)
-      ;;
-    rocm*)
-      export FORCE_CUDA=1
-      ;;
-    *)
-      echo "Unrecognized CU_VERSION=$CU_VERSION"
-      exit 1
-      ;;
-  esac
-  if [[ -n "$CUDA_HOME" ]]; then
-    # Adds nvcc binary to the search path so that CMake's `find_package(CUDA)` will pick the right one
-    export PATH="$CUDA_HOME/bin:$PATH"
-    export FORCE_CUDA=1
-  fi
-}
-
-# Populate build version if necessary, and add version suffix
-#
-# Inputs:
-#   BUILD_VERSION (e.g., 0.2.0 or empty)
-#   VERSION_SUFFIX (e.g., +cpu)
-#
-# Outputs:
-#   BUILD_VERSION (e.g., 0.2.0.dev20190807+cpu)
-#
-# Fill BUILD_VERSION if it doesn't exist already with a nightly string
-# Usage: setup_build_version 0.2.0
-setup_build_version() {
-  if [[ -z "$BUILD_VERSION" ]]; then
-    if [[ -z "$1" ]]; then
-      setup_base_build_version
-    else
-      BUILD_VERSION="$1"
-    fi
-    BUILD_VERSION="$BUILD_VERSION.dev$(date "+%Y%m%d")$VERSION_SUFFIX"
-  else
-    BUILD_VERSION="$BUILD_VERSION$VERSION_SUFFIX"
-  fi
-
-  # Set build version based on tag if on tag
-  if [[ -n "${CIRCLE_TAG}" ]]; then
-    # Strip tag
-    BUILD_VERSION="$(echo "${CIRCLE_TAG}" | sed -e 's/^v//' -e 's/-.*$//')${VERSION_SUFFIX}"
-  fi
-
-  export BUILD_VERSION
-}
-
-setup_base_build_version() {
-  SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-  # version.txt for some reason has `a` character after major.minor.rev
-  # command below yields 0.10.0 from version.txt containing 0.10.0a0
-  BUILD_VERSION=$( cut -f 1 -d a "$SCRIPT_DIR/../version.txt" )
-  export BUILD_VERSION
-}
-
-# Set some useful variables for OS X, if applicable
-setup_macos() {
-  if [[ "$(uname)" == Darwin ]]; then
-    export MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++
-  fi
-}
-
-
-# Top-level entry point for things every package will need to do
-#
-# Usage: setup_env 0.2.0
-setup_env() {
-  setup_cuda
-  setup_build_version "$1"
-  setup_macos
-}
-
-# Function to retry functions that sometimes timeout or have flaky failures
-retry () {
-    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
-}
-
-# Inputs:
-#   PYTHON_VERSION (3.8, 3.9, 3.10)
-#   UNICODE_ABI (bool)
-#
-# Outputs:
-#   PATH modified to put correct Python version in PATH
-#
-# Precondition: If Linux, you are in a soumith/manylinux-cuda* Docker image
-setup_wheel_python() {
-  if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
-    eval "$(conda shell.bash hook)"
-    conda env remove -n "env$PYTHON_VERSION" || true
-    conda create ${CONDA_CHANNEL_FLAGS} -yn "env$PYTHON_VERSION" python="$PYTHON_VERSION"
-    conda activate "env$PYTHON_VERSION"
-    # Install libpng from Anaconda (defaults)
-    conda install ${CONDA_CHANNEL_FLAGS} libpng "jpeg<=9b" -y
-  else
-    # Install native CentOS libJPEG, freetype and GnuTLS
-    yum install -y libjpeg-turbo-devel freetype gnutls
-    case "$PYTHON_VERSION" in
-      3.8) python_abi=cp38-cp38 ;;
-      3.9) python_abi=cp39-cp39 ;;
-      3.10) python_abi=cp310-cp310 ;;
-      *)
-        echo "Unrecognized PYTHON_VERSION=$PYTHON_VERSION"
-        exit 1
-        ;;
-    esac
-    # Download all the dependencies required to compile image and video_reader
-    # extensions
-
-    mkdir -p ext_libraries
-    pushd ext_libraries
-    popd
-    export PATH="/opt/python/$python_abi/bin:$(pwd)/ext_libraries/bin:$PATH"
-  fi
-}
-
-# Install with pip a bit more robustly than the default
-pip_install() {
-  retry pip install --progress-bar off "$@"
-}
-
-# Install torch with pip, respecting PYTORCH_VERSION, and record the installed
-# version into PYTORCH_VERSION, if applicable
-setup_pip_pytorch_version() {
-  if [[ -z "$PYTORCH_VERSION" ]]; then
-    # Install latest prerelease version of torch, per our nightlies, consistent
-    # with the requested cuda version
-    pip_install --pre torch -f "https://download.pytorch.org/whl/nightly/${WHEEL_DIR}torch_nightly.html"
-    if [[ "$CUDA_VERSION" == "cpu" ]]; then
-      # CUDA and CPU are ABI compatible on the CPU-only parts, so strip
-      # in this case
-      export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version:  *//' | sed 's/+.\+//')"
-    else
-      export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version:  *//')"
-    fi
-  else
-    pip_install "torch==$PYTORCH_VERSION$PYTORCH_VERSION_SUFFIX" \
-      -f "https://download.pytorch.org/whl/${CU_VERSION}/torch_stable.html" \
-      -f "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/${CU_VERSION}/torch_${UPLOAD_CHANNEL}.html"
-  fi
-}
-
-# Fill PYTORCH_VERSION with the latest conda nightly version, and
-# CONDA_CHANNEL_FLAGS with appropriate flags to retrieve these versions
-#
-# You MUST have populated PYTORCH_VERSION_SUFFIX before hand.
-setup_conda_pytorch_constraint() {
-  if [[ -z "$PYTORCH_VERSION" ]]; then
-    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-nightly -c pytorch"
-    PYTHON="python"
-    # Check if we have python 3 instead and prefer that
-    if python3 --version >/dev/null 2>/dev/null; then
-      PYTHON="python3"
-    fi
-    export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-nightly]' | \
-                              ${PYTHON} -c "import os, sys, json, re; cuver = os.environ.get('CU_VERSION'); \
-                               cuver_1 = cuver.replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
-                               cuver_2 = (cuver[:-1] + '.' + cuver[-1]).replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
-                               print(re.sub(r'\\+.*$', '', \
-                                [x['version'] for x in json.load(sys.stdin)['pytorch'] \
-                                  if (x['platform'] == 'darwin' or cuver_1 in x['fn'] or cuver_2 in x['fn']) \
-                                    and 'py' + os.environ['PYTHON_VERSION'] in x['fn']][-1]))")"
-    if [[ -z "$PYTORCH_VERSION" ]]; then
-      echo "PyTorch version auto detection failed"
-      echo "No package found for CU_VERSION=$CU_VERSION and PYTHON_VERSION=$PYTHON_VERSION"
-      exit 1
-    fi
-  else
-    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch -c pytorch-${UPLOAD_CHANNEL}"
-  fi
-  if [[ "$CU_VERSION" == cpu ]]; then
-    export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION${PYTORCH_VERSION_SUFFIX}"
-    export CONDA_PYTORCH_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
-  else
-    export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
-    export CONDA_PYTORCH_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
-  fi
-  if [[ "$OSTYPE" == msys && "$CU_VERSION" == cu92 ]]; then
-    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c defaults -c numba/label/dev"
-  fi
-}
-
-# Translate CUDA_VERSION into CUDA_CUDATOOLKIT_CONSTRAINT
-setup_conda_cudatoolkit_constraint() {
-  export CONDA_BUILD_VARIANT="cuda"
-  if [[ "$(uname)" == Darwin ]]; then
-    export CONDA_BUILD_VARIANT="cpu"
-  else
-    case "$CU_VERSION" in
-      cu121)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=12.1 # [not osx]"
-        ;;
-      cu118)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.8 # [not osx]"
-        ;;
-      cu117)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.7 # [not osx]"
-        ;;
-      cpu)
-        export CONDA_CUDATOOLKIT_CONSTRAINT=""
-        export CONDA_BUILD_VARIANT="cpu"
-        ;;
-      *)
-        echo "Unrecognized CU_VERSION=$CU_VERSION"
-        exit 1
-        ;;
-    esac
-  fi
-}
-
-setup_conda_cudatoolkit_plain_constraint() {
-  export CONDA_BUILD_VARIANT="cuda"
-  export CMAKE_USE_CUDA=1
-  if [[ "$(uname)" == Darwin ]]; then
-    export CONDA_BUILD_VARIANT="cpu"
-    export CMAKE_USE_CUDA=0
-  else
-    case "$CU_VERSION" in
-      cu121)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=12.1"
-        ;;
-      cu118)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.8"
-        ;;
-      cu117)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.7"
-        ;;
-      cpu)
-        export CONDA_CUDATOOLKIT_CONSTRAINT=""
-        export CONDA_BUILD_VARIANT="cpu"
-        export CMAKE_USE_CUDA=0
-        ;;
-      *)
-        echo "Unrecognized CU_VERSION=$CU_VERSION"
-        exit 1
-        ;;
-    esac
-  fi
-}
-
-# Build the proper compiler package before building the final package
-setup_visual_studio_constraint() {
-  if [[ "$OSTYPE" == "msys" ]]; then
-      export VSTOOLCHAIN_PACKAGE=vs$VC_YEAR
-      conda build $CONDA_CHANNEL_FLAGS --no-anaconda-upload packaging/$VSTOOLCHAIN_PACKAGE
-      cp packaging/$VSTOOLCHAIN_PACKAGE/conda_build_config.yaml packaging/torchvision/conda_build_config.yaml
-  fi
-}
-
-setup_junit_results_folder() {
-  if [[ "$CI" == "true" ]]; then
-    export CONDA_PYTORCH_BUILD_RESULTS_DIRECTORY="${SOURCE_ROOT_DIR}/build_results/results.xml"
-  fi
-}
-
-
-download_copy_ffmpeg() {
-  if [[ "$OSTYPE" == "msys" ]]; then
-    # conda install -yq ffmpeg=4.2 -c pytorch
-    # curl -L -q https://anaconda.org/pytorch/ffmpeg/4.3/download/win-64/ffmpeg-4.3-ha925a31_0.tar.bz2 --output ffmpeg-4.3-ha925a31_0.tar.bz2
-    # bzip2 --decompress --stdout ffmpeg-4.3-ha925a31_0.tar.bz2 | tar -x --file=-
-    # cp Library/bin/*.dll ../torchvision
-    echo "FFmpeg is disabled currently on Windows"
-  else
-    if [[ "$(uname)" == Darwin ]]; then
-      conda install -yq ffmpeg=4.2 -c pytorch
-      conda install -yq wget
-    else
-      # pushd ext_libraries
-      # wget -q https://anaconda.org/pytorch/ffmpeg/4.2/download/linux-64/ffmpeg-4.2-hf484d3e_0.tar.bz2
-      # tar -xjvf ffmpeg-4.2-hf484d3e_0.tar.bz2
-      # rm -rf ffmpeg-4.2-hf484d3e_0.tar.bz2
-      # ldconfig
-      # which ffmpeg
-      # popd
-      echo "FFmpeg is disabled currently on Linux"
-    fi
-  fi
-}
diff --git a/packaging/pre_build_script.sh b/packaging/pre_build_script.sh
index a03982b2868..9d10738cfa8 100644
--- a/packaging/pre_build_script.sh
+++ b/packaging/pre_build_script.sh
@@ -13,7 +13,7 @@ fi
 
 if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
   # Install libpng from Anaconda (defaults)
-  conda install ${CONDA_CHANNEL_FLAGS} libpng "jpeg<=9b" -y
+  conda install libpng "jpeg<=9b" -yq
   conda install -yq ffmpeg=4.2 -c pytorch
 
   # Copy binaries to be included in the wheel distribution