UPDATE

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

-#!/usr/bin/env bash
-
-unset PYTORCH_VERSION
-# For unittest, nightly PyTorch is used as the following section,
-# so no need to set PYTORCH_VERSION.
-# In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config.
-
-set -ex
-
-root_dir="$(git rev-parse --show-toplevel)"
-conda_dir="${root_dir}/conda"
-env_dir="${root_dir}/env"
-this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-cd "${root_dir}"
-
-# 0. Activate conda env
-eval "$("${conda_dir}/Scripts/conda.exe" 'shell.bash' 'hook')"
-conda activate "${env_dir}"
-
-source "$this_dir/set_cuda_envs.sh"
-
-# 1. Install PyTorch
-if [ -z "${CUDA_VERSION:-}" ] ; then
-    cudatoolkit="cpuonly"
-    version="cpu"
-else
-    version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
-
-    cuda_toolkit_pckg="cudatoolkit"
-    if [[ "$CU_VERSION" == cu116 || "$CU_VERSION" == cu117 ]]; then
-        cuda_toolkit_pckg="pytorch-cuda"
-    fi
-
-    cudatoolkit="${cuda_toolkit_pckg}=${version}"
-fi
-printf "Installing PyTorch with %s\n" "${cudatoolkit}"
-conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c nvidia pytorch "${cudatoolkit}"  pytest
-conda install -y -c conda-forge mkl=2020.4
-
-torch_cuda=$(python -c "import torch; print(torch.cuda.is_available())")
-echo torch.cuda.is_available is $torch_cuda
-
-if [ ! -z "${CUDA_VERSION:-}" ] ; then
-    if [ "$torch_cuda" == "False" ]; then
-        echo "torch with cuda installed but torch.cuda.is_available() is False"
-        exit 1
-    fi
-fi
-
-# 2. Install torchaudio
-printf "* Installing torchaudio\n"
-"$root_dir/packaging/vc_env_helper.bat" python setup.py install
-
-# 3. Install Test tools
-printf "* Installing test tools\n"
-NUMBA_DEV_CHANNEL=""
-SENTENCEPIECE_DEPENDENCY="sentencepiece"
-case "$(python --version)" in
-    *3.9*)
-        # Numba isn't available for Python 3.9 except on the numba dev channel and building from source fails
-        # See https://github.com/librosa/librosa/issues/1270#issuecomment-759065048
-        NUMBA_DEV_CHANNEL="-c numba/label/dev"
-        ;;
-    *3.10*)
-        # Don't install sentencepiece, no python 3.10 dependencies available for windows yet
-        SENTENCEPIECE_DEPENDENCY=""
-        NUMBA_DEV_CHANNEL="-c numba/label/dev"
-        ;;
-esac
-# Note: installing librosa via pip fail because it will try to compile numba.
-(
-    set -x
-    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa>=0.8.0' parameterized 'requests>=2.20'
-    # Need to disable shell check since this'll fail out if SENTENCEPIECE_DEPENDENCY is empty
-    # shellcheck disable=SC2086
-    pip install \
-        ${SENTENCEPIECE_DEPENDENCY} \
-        Pillow \
-        SoundFile \
-        coverage \
-        expecttest \
-        inflect \
-        kaldi-io \
-        pytest \
-        pytest-cov \
-        pytorch-lightning \
-        'scipy==1.7.3' \
-        transformers \
-        unidecode \
-        'protobuf<4.21.0' \
-        demucs \
-        tinytag
-)
-# Install fairseq
-git clone https://github.com/pytorch/fairseq
-cd fairseq
-git checkout e47a4c8
-pip install .

.circleci/unittest/windows/scripts/install_conda.bat

-start /wait "" "%miniconda_exe%" /S /InstallationType=JustMe /RegisterPython=0 /AddToPath=0 /D=%tmp_conda%

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

-#!/usr/bin/env bash
-
-set -ex
-
-eval "$(./conda/Scripts/conda.exe 'shell.bash' 'hook')"
-conda activate ./env
-
-this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-source "$this_dir/set_cuda_envs.sh"
-
-python -m torch.utils.collect_env
-env | grep TORCHAUDIO || true
-
-cd test
-pytest --cov=torchaudio --junitxml=../test-results/junit.xml -v --durations 20 torchaudio_unittest
-coverage html

.circleci/unittest/windows/scripts/set_cuda_envs.sh

-#!/usr/bin/env bash
-set -ex
-
-echo CU_VERSION is "${CU_VERSION}"
-echo CUDA_VERSION is "${CUDA_VERSION}"
-
-# Currenly, CU_VERSION and CUDA_VERSION are not consistent. 
-# to understand this code, please checck out https://github.com/pytorch/vision/issues/4443
-version="cpu"
-if [[ ! -z "${CUDA_VERSION}" ]] ; then
-    version="$CUDA_VERSION"
-else
-    if [[ ${#CU_VERSION} -eq 5 ]]; then
-        version="${CU_VERSION:2:2}.${CU_VERSION:4:1}"
-    fi
-fi
-
-# Don't use if [[ "$version" == "cpu" ]]; then exit 0 fi.
-# It would exit the shell. One result is cpu tests would not run if the shell exit.
-# Unless there's an error, Don't exit.
-if [[ "$version" != "cpu" ]]; then
-    # set cuda envs
-    export PATH="/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v${version}/bin:/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v${version}/libnvvp:$PATH"
-    export CUDA_PATH_V${version/./_}="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${version}"
-    export CUDA_PATH="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${version}"
-
-    if  [ ! -d "$CUDA_PATH" ]
-    then
-        echo "$CUDA_PATH" does not exist
-        exit 1
-    fi
-
-    # check cuda driver version
-    for path in '/c/Program Files/NVIDIA Corporation/NVSMI/nvidia-smi.exe' /c/Windows/System32/nvidia-smi.exe; do
-        if [[ -x "$path" ]]; then
-            "$path" || echo "true";
-            break
-        fi
-    done
-
-    which nvcc
-    nvcc --version
-    env | grep CUDA
-fi

.gitignore

@@ -69,6 +69,7 @@ instance/
 # Sphinx documentation
 docs/_build/
 docs/src/
+docs/source/cpp
 docs/source/tutorials
 docs/source/gen_images
 docs/source/gen_modules