diff --git a/docs/source/build.linux.rst b/docs/source/build.linux.rst index 5aa10dd7a4..864078257d 100644 --- a/docs/source/build.linux.rst +++ b/docs/source/build.linux.rst @@ -15,7 +15,7 @@ Here, we install nightly build. .. code-block:: - conda install pytorch -c pytorch-nightly + pip install --pre --index-url https://download.pytorch.org/whl/nightly/cpu 3. Install build tools ---------------------- diff --git a/docs/source/build.rst b/docs/source/build.rst index 32f283ba0b..f1f80ece28 100644 --- a/docs/source/build.rst +++ b/docs/source/build.rst @@ -12,8 +12,6 @@ TorchAudio integrates PyTorch for numerical computation and third party librarie - `MSVC `_ 2019 or newer (Windows) - `CUDA toolkit `_ and `cuDNN `_ (if building CUDA extension) -Most of the tools are available in `Conda `_, so we recommend using conda. - .. toctree:: :maxdepth: 1 diff --git a/docs/source/build.windows.rst b/docs/source/build.windows.rst index ef040bb322..732f246865 100644 --- a/docs/source/build.windows.rst +++ b/docs/source/build.windows.rst @@ -86,21 +86,8 @@ The following combination is known to work. 3. Install PyTorch ------------------ - Please refer to https://pytorch.org/get-started/locally/ for the up-to-date way to install PyTorch. -The following command installs the nightly build version of PyTorch. - -.. code-block:: - - # CPU-only - conda install pytorch cpuonly -c pytorch-nightly - - # With CUDA support - conda install pytorch pytorch-cuda=11.7 -c pytorch-nightly -c nvidia - -When installing CUDA-enabled version, it also install CUDA toolkit. - 4. [Optional] cuDNN ------------------- @@ -159,7 +146,7 @@ To build single version FFmpeg extension, FFmpeg binaries must be provided by us conda install -c conda-forge ffmpeg FFMPEG_ROOT=${CONDA_PREFIX}/Library python setup.py develop - + [Optional] Building FFmpeg from source --------------------------------------