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92
_sources/installation/from_wheels.rst.txt
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@ -5,3 +5,95 @@ You can find pre-compiled wheels at
- CPU wheels: `<https://csukuangfj.github.io/kaldifeat/cpu.html>`_
- CUDA wheels: `<https://csukuangfj.github.io/kaldifeat/cuda.html>`_
We give a few examples below to show you how to install `kaldifeat`_ from
pre-compiled wheels.
Linux (CPU)
-----------
Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# method 2
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
Windows (CPU)
--------------
Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# method 2
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
macOS (CPU)
-----------
Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.0.1
pip install kaldifeat==1.24.dev20230722+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
# method 2
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip install ./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
Linux (CUDA)
------------
Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
you can use one of the following methods:
.. code-block:: bash
# method 1
pip install torch==2.0.1+cu118 -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230722+cuda11.8.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cuda.html
# method 2
pip install torch==2.0.1+cu118 -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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_sources/installation/index.rst.txt
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@ -2,7 +2,7 @@ Installation
============
.. toctree::
:maxdepth: 2
:maxdepth: 3
./from_wheels.rst
./from_source.rst

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installation/from_wheels.html
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@ -49,7 +49,13 @@
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../intro.html">Introduction</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="index.html">Installation</a><ul class="current">
<li class="toctree-l2 current"><a class="current reference internal" href="#">From pre-compiled wheels (Recommended)</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">From pre-compiled wheels (Recommended)</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#linux-cpu">Linux (CPU)</a></li>
<li class="toctree-l3"><a class="reference internal" href="#windows-cpu">Windows (CPU)</a></li>
<li class="toctree-l3"><a class="reference internal" href="#macos-cpu">macOS (CPU)</a></li>
<li class="toctree-l3"><a class="reference internal" href="#linux-cuda">Linux (CUDA)</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="from_source.html">Install kaldifeat from source</a></li>
<li class="toctree-l2"><a class="reference internal" href="faq.html">FAQs</a></li>
</ul>
@ -91,6 +97,80 @@
<li><p>CUDA wheels: <a class="reference external" href="https://csukuangfj.github.io/kaldifeat/cuda.html">https://csukuangfj.github.io/kaldifeat/cuda.html</a></p></li>
</ul>
</div></blockquote>
<p>We give a few examples below to show you how to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from
pre-compiled wheels.</p>
<section id="linux-cpu">
<h2>Linux (CPU)<a class="headerlink" href="#linux-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.24.dev20230722+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
</pre></div>
</div>
</section>
<section id="windows-cpu">
<h2>Windows (CPU)<a class="headerlink" href="#windows-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.24.dev20230722+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
</pre></div>
</div>
</section>
<section id="macos-cpu">
<h2>macOS (CPU)<a class="headerlink" href="#macos-cpu" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.24.dev20230722+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cpu<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.24.dev20230722+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
</pre></div>
</div>
</section>
<section id="linux-cuda">
<h2>Linux (CUDA)<a class="headerlink" href="#linux-cuda" title="Permalink to this heading"></a></h2>
<p>Suppose you want to install the following wheel:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
</div>
<p>you can use one of the following methods:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># method 1</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cu118<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.24.dev20230722+cuda11.8.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cuda.html
<span class="c1"># method 2</span>
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.0.1+cu118<span class="w"> </span>-f<span class="w"> </span>https://download.pytorch.org/whl/torch_stable.html
wget<span class="w"> </span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.24.dev20230722+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
</pre></div>
</div>
</section>
</section>

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@ -85,7 +85,13 @@
<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this heading"></a></h1>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="from_wheels.html">From pre-compiled wheels (Recommended)</a></li>
<li class="toctree-l1"><a class="reference internal" href="from_wheels.html">From pre-compiled wheels (Recommended)</a><ul>
<li class="toctree-l2"><a class="reference internal" href="from_wheels.html#linux-cpu">Linux (CPU)</a></li>
<li class="toctree-l2"><a class="reference internal" href="from_wheels.html#windows-cpu">Windows (CPU)</a></li>
<li class="toctree-l2"><a class="reference internal" href="from_wheels.html#macos-cpu">macOS (CPU)</a></li>
<li class="toctree-l2"><a class="reference internal" href="from_wheels.html#linux-cuda">Linux (CUDA)</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="from_source.html">Install kaldifeat from source</a><ul>
<li class="toctree-l2"><a class="reference internal" href="from_source.html#install-kaldifeat-from-pypi">Install kaldifeat from PyPI</a></li>
</ul>

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