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Removing conda installation references. #3904

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May 13, 2025
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2 changes: 1 addition & 1 deletion docs/source/build.linux.rst
Original file line number Diff line number Diff line change
Expand Up @@ -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
----------------------
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2 changes: 0 additions & 2 deletions docs/source/build.rst
Original file line number Diff line number Diff line change
Expand Up @@ -12,8 +12,6 @@ TorchAudio integrates PyTorch for numerical computation and third party librarie
- `MSVC <https://visualstudio.microsoft.com>`_ 2019 or newer (Windows)
- `CUDA toolkit <https://developer.nvidia.com/cudnn>`_ and `cuDNN <https://developer.nvidia.com/cudnn>`_ (if building CUDA extension)

Most of the tools are available in `Conda <https://conda.io/>`_, so we recommend using conda.

.. toctree::
:maxdepth: 1

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15 changes: 1 addition & 14 deletions docs/source/build.windows.rst
Original file line number Diff line number Diff line change
Expand Up @@ -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
-------------------

Expand Down Expand Up @@ -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
--------------------------------------

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