mirrors/kaldifeat
1
0
Fork 0
mirror of https://github.com/csukuangfj/kaldifeat.git synced 2025-08-15 13:02:20 +00:00
Code Issues Packages Projects Releases Wiki Activity

deploy: 3c78253a56d2ffb01f821c423b881d967bd3ca64

Browse Source
This commit is contained in:
csukuangfj 2023-07-26 08:42:13 +00:00
parent 3319fad1d7
commit bbd4dccbe5
3 changed files with 33 additions and 33 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
_sources/installation/from_wheels.rst.txt
View File

@ -16,7 +16,7 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cpu/kaldifeat-1.24.dev20230724+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-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
you can use one of the following methods:
@ -24,12 +24,12 @@ you can use one of the following methods:
# method 1
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230724+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install kaldifeat==1.25.0.dev20230726+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/ubuntu-cpu/kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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
Windows (CPU)
@ -39,7 +39,7 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/windows-cpu/kaldifeat-1.25.0.dev20230726+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
you can use one of the following methods:
@ -47,12 +47,12 @@ you can use one of the following methods:
# method 1
pip install torch==2.0.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230724+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install kaldifeat==1.25.0.dev20230726+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.dev20230724+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip install ./kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
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
macOS (CPU)
-----------
@ -61,7 +61,7 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/macos/kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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
you can use one of the following methods:
@ -69,12 +69,12 @@ you can use one of the following methods:
# method 1
pip install torch==2.0.1
pip install kaldifeat==1.24.dev20230724+cpu.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cpu.html
pip install kaldifeat==1.25.0.dev20230726+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.dev20230724+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
pip install ./kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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
Linux (CUDA)
------------
@ -83,7 +83,7 @@ Suppose you want to install the following wheel:
.. code-block:: bash
https://huggingface.co/csukuangfj/kaldifeat/resolve/main/ubuntu-cuda/kaldifeat-1.24.dev20230724+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-1.25.0.dev20230726+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
you can use one of the following methods:
@ -91,9 +91,9 @@ you can use one of the following methods:
# method 1
pip install torch==2.0.1+cu118 -f https://download.pytorch.org/whl/torch_stable.html
pip install kaldifeat==1.24.dev20230724+cuda11.8.torch2.0.1 -f https://csukuangfj.github.io/kaldifeat/cuda.html
pip install kaldifeat==1.25.0.dev20230726+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.dev20230724+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pip install ./kaldifeat-1.24.dev20230724+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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

32
installation/from_wheels.html
View File

@ -102,72 +102,72 @@ 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-1.24.dev20230724+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-1.25.0.dev20230726+cpu.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+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.dev20230724+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">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
<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-1.24.dev20230724+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-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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
</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.dev20230724+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-1.25.0.dev20230726+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.dev20230724+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">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
<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.dev20230724+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
pip<span class="w"> </span>install<span class="w"> </span>./kaldifeat-1.24.dev20230724+cpu.torch2.0.1-cp311-cp311-win_amd64.whl
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
</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.dev20230724+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-1.25.0.dev20230726+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.dev20230724+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">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
<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.dev20230724+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.dev20230724+cpu.torch2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
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
</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.dev20230724+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-1.25.0.dev20230726+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.dev20230724+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">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
<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.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-1.24.dev20230724+cuda11.8.torch2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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
</pre></div>
</div>
</section>

2
searchindex.js
View File

File diff suppressed because one or more lines are too long