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49
_sources/installation/from_wheels.rst.txt
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@ -16,20 +16,21 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.0.dev20230726+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.1.2 -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/ubuntu-cpu/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install torch==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Windows (CPU)
@ -39,20 +40,20 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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==1.25.0.dev20230726+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.1.2 -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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip install ./kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip install torch==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-win_amd64.whl
pip install ./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-win_amd64.whl
macOS (CPU)
-----------
@ -61,20 +62,20 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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==1.25.0.dev20230726+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install torch==2.1.2
pip install kaldifeat==1.25.3.dev20231221+cpu.torch2.1.2 -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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip install ./kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip install torch==2.1.2 -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-macosx_10_9_x86_64.whl
pip install ./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-macosx_10_9_x86_64.whl
Linux (CUDA)
------------
@ -83,17 +84,17 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.0.dev20230726+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.3.dev20231221+cuda12.1.torch2.1.2-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==1.25.0.dev20230726+cuda11.8.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cuda.html
pip install torch==2.1.2+cu121 -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.25.3.dev20231221+cuda12.1.torch2.1.2 -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-1.25.0.dev20230724+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.0.dev20230726+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install torch==2.1.2+cu121 -f https://download.pytorch.org/whl/torch_stable.html
wget https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.3.dev20231221+cuda12.1.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.25.3.dev20231221+cuda12.1.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

49
installation/from_wheels.html
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@ -104,72 +104,73 @@ 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/ubuntu-cpu/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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+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>.25.0.dev20230726+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+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>.25.3.dev20231221+cpu.torch2.1.2<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/ubuntu-cpu/kaldifeat-1.25.0.dev20230726+cpu.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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+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/ubuntu-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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>.25.0.dev20230726+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+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>.25.3.dev20231221+cpu.torch2.1.2<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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+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-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-win_amd64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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>.25.0.dev20230726+cpu.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cpu.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">kaldifeat</span><span class="o">==</span><span class="m">1</span>.25.3.dev20231221+cpu.torch2.1.2<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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2<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-1.25.3.dev20231221+cpu.torch2.1.2-cp311-cp311-macosx_10_9_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.3.dev20231221+cpu.torch2.1.2-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-1.25.0.dev20230726+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.25.3.dev20231221+cuda12.1.torch2.1.2-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>.25.0.dev20230726+cuda11.8.torch2.0.1<span class="w"> </span>-f<span class="w"> </span>https://csukuangfj.github.io/kaldifeat/cuda.html
pip<span class="w"> </span>install<span class="w"> </span><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+cu121<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>.25.3.dev20231221+cuda12.1.torch2.1.2<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-1.25.0.dev20230724+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-1.25.0.dev20230726+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><span class="nv">torch</span><span class="o">==</span><span class="m">2</span>.1.2+cu121<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-1.25.3.dev20231221+cuda12.1.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.25.3.dev20231221+cuda12.1.torch2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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