Delete stale packaging scripts (#5433)

* Delete stale packaging scripts

`osx_wheel.sh` and `linux_manywheel.sh` has not been functional for a
while and are not referenced from any of the CI scripts

Updated `README.md` to reflect how release binary builds are currently run

packaging/README.md

 # Building torchvision packages for release
 
-## Anaconda packages
+TorchVision release packages are built by using `build_wheel.sh` and `build_conda.sh` for all permutations of
+supported operating systems, compute platforms and python versions.
 
-### Linux
-
-```bash
-nvidia-docker run -it --ipc=host --rm -v $(pwd):/remote soumith/conda-cuda bash
-pushd remote/conda
-
-./build_vision.sh 9.0
-./build_vision.sh 10.0
-./build_vision.sh cpu
-
-# copy packages over to /remote
-# exit docker
-# anaconda upload -u pytorch torchvision*.bz2
-```
-
-### OSX
-
-```bash
-# create a fresh anaconda environment / install and activate it
-conda install -y conda-build anaconda-client
-./build_vision.sh cpu
-
-# copy packages over to /remote
-# exit docker
-# anaconda upload -u pytorch torchvision*.bz2
-```
-
-### Windows
-
-```bash
-# Open `Git Bash` and change dir to `conda`
-./build_vision.sh 9.0
-./build_vision.sh 10.0
-./build_vision.sh cpu
-
-# copy packages to a output directory
-# anaconda upload -u pytorch torchvision*.bz2
-```
-
-## Wheels
-
-### Linux
-
-pushd wheel
-
-```bash
-nvidia-docker run -it --ipc=host --rm -v $(pwd):/remote soumith/manylinux-cuda90:latest bash
-cd remote
-./linux_manywheel.sh cu90
-
-rm -rf /usr/local/cuda*
-./linux_manywheel.sh cpu
-```
-
-```bash
-nvidia-docker run -it --ipc=host --rm -v $(pwd):/remote soumith/manylinux-cuda100:latest bash
-cd remote
-./linux_manywheel.sh cu100
-```
-
-wheels are in the folders `cpu`, `cu90`, `cu100`.
-
-You can upload the `cu90` wheels to twine with `twine upload *.whl`.
-Which wheels we upload depends on which wheels PyTorch uploads as default, and right now, it's `cu90`.
-
-### OSX
-
-```bash
-pushd wheel
-./osx_wheel.sh
-```
-
-### Windows
-
-```cmd
-set PYTORCH_REPO=pytorch
-
-pushd windows
-call build_vision.bat 90 0.3.0 1
-call build_vision.bat 100 0.3.0 1
-call build_vision.bat cpu 0.3.0 1
-```
-
-wheels are in the current folder.
-
-You can upload them to twine with `twine upload *.whl`
+OS/Python/Compute matrix is defined in https://github.com/pytorch/vision/blob/main/.circleci/regenerate.py

packaging/wheel/linux_manywheel.sh

-#!/bin/bash
-set -ex
-
-if [ "$#" -ne 1 ]; then
-    echo "Illegal number of parameters. Pass cuda version"
-    echo "CUDA version should be cu92, cu100 or cpu"
-    exit 1
-fi
-export CUVER="$1" # cu[0-9]* cpu
-
-if [[ "$CUVER" == "cu102" ]]; then
-  cu_suffix=""
-else
-  cu_suffix="+$CUVER"
-fi
-
-export OUT_DIR="/remote/$CUVER"
-
-pushd /opt/python
-DESIRED_PYTHON=(*/)
-popd
-for desired_py in "${DESIRED_PYTHON[@]}"; do
-    python_installations+=("/opt/python/$desired_py")
-done
-
-OLD_PATH=$PATH
-cd /tmp
-rm -rf vision
-git clone https://github.com/pytorch/vision
-
-cd /tmp/vision
-
-for PYDIR in "${python_installations[@]}"; do
-    export PATH=$PYDIR/bin:$OLD_PATH
-    pip install --upgrade pip
-    pip install numpy pyyaml future
-
-    pip uninstall -y torch || true
-    pip uninstall -y torch_nightly || true
-
-    export TORCHVISION_PYTORCH_DEPENDENCY_NAME=torch_nightly
-    pip install torch_nightly -f https://download.pytorch.org/whl/nightly/$CUVER/torch_nightly.html
-    # CPU/CUDA variants of PyTorch have ABI compatible PyTorch for
-    # the CPU only bits.  Therefore, we
-    # strip off the local package qualifier, but ONLY if we're
-    # doing a CPU build.
-    if [[ "$CUVER" == "cpu" ]]; then
-        export TORCHVISION_PYTORCH_DEPENDENCY_VERSION="$(pip show torch_nightly | grep ^Version: | sed 's/Version: \+//' | sed 's/+.\+//')"
-    else
-        export TORCHVISION_PYTORCH_DEPENDENCY_VERSION="$(pip show torch_nightly | grep ^Version: | sed 's/Version: \+//')"
-    fi
-    echo "Building against ${TORCHVISION_PYTORCH_DEPENDENCY_VERSION}"
-
-    pip install ninja
-    python setup.py clean
-    python setup.py bdist_wheel
-    mkdir -p $OUT_DIR
-    cp dist/*.whl $OUT_DIR/
-done

packaging/wheel/osx_wheel.sh

-if [[ ":$PATH:" == *"conda"* ]]; then
-    echo "existing anaconda install in PATH, remove it and run script"
-    exit 1
-fi
-# download and activate anaconda
-rm -rf ~/minconda_wheel_env_tmp
-wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh && \
-    chmod +x Miniconda3-latest-MacOSX-x86_64.sh && \
-    ./Miniconda3-latest-MacOSX-x86_64.sh -b -p ~/minconda_wheel_env_tmp && \
-    rm Miniconda3-latest-MacOSX-x86_64.sh
-
-. ~/minconda_wheel_env_tmp/bin/activate
-
-
-export OUT_DIR=~/torchvision_wheels
-
-export MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++
-
-pushd /tmp
-rm -rf vision
-git clone https://github.com/pytorch/vision
-pushd vision
-
-desired_pythons=( "3.7" "3.8" "3.9" )
-# for each python
-for desired_python in "${desired_pythons[@]}"
-do
-    # create and activate python env
-    env_name="env$desired_python"
-    conda create -yn $env_name python="$desired_python"
-    conda activate $env_name
-
-    pip uninstall -y torch || true
-    pip uninstall -y torch_nightly || true
-
-    export TORCHVISION_PYTORCH_DEPENDENCY_NAME=torch_nightly
-    pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
-    export TORCHVISION_PYTORCH_DEPENDENCY_VERSION="$(pip show torch_nightly | grep ^Version: | sed 's/Version:  *//')"
-    echo "Building against ${TORCHAUDIO_PYTORCH_DEPENDENCY_VERSION}"
-
-    # install torchvision dependencies
-    pip install ninja scipy pytest
-
-    python setup.py clean
-    python setup.py bdist_wheel
-    mkdir -p $OUT_DIR
-    cp dist/*.whl $OUT_DIR/
-done
-popd
-popd