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@ -12,5 +12,5 @@ kaldifeat
:caption: Contents
intro
installation
installation/index
usage/index

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Installation
============
- |os_types|
- |python_versions|
- |pytorch_versions|
- |cuda_versions|
.. caution::
`kaldifeat`_ depends on `PyTorch`_. `PyTorch`_ >= 1.5.0 is known to work.
Please first install `PyTorch`_ before you install `kaldifeat`_.
.. hint::
To install a CPU version of `kaldifeat`_, please install a CPU version
of `PyTorch`_.
To install a CUDA version of `kaldifeat`_, please install a CUDA version
of `PyTorch`_. CUDA >= 10.1 is known to work.
.. _from source:
Install kaldifeat from source
-----------------------------
You have to install ``cmake`` and `PyTorch`_ first.
- ``cmake`` 3.11 is known to work. Other CMake versions may also work.
- `PyTorch`_ >= 1.5.0 is known to work. Other PyTorch versions may also work.
- Python >= 3.6
The commands to install `kaldifeat`_ from source are:
.. code-block:: bash
git clone https://github.com/csukuangfj/kaldifeat
cd kaldifeat
python3 setup.py install
To test that you have installed `kaldifeat`_ successfully, please run:
.. code-block:: bash
python3 -c "import kaldifeat; print(kaldifeat.__version__)"
It should print the version, e.g., ``1.0``.
.. _from PyPI:
Install kaldifeat from PyPI
---------------------------
The command to install `kaldifeat`_ from PyPI is:
.. code-block:: bash
pip install --verbose kaldifeat
To test that you have installed `kaldifeat`_ successfully, please run:
.. code-block:: bash
python3 -c "import kaldifeat; print(kaldifeat.__version__)"
It should print the version, e.g., ``1.0``.
Install kaldifeat from conda (Only for Linux)
---------------------------------------------
.. hint::
Installation using ``conda`` supports only Linux. For macOS and Windows,
please use either :ref:`from source` or :ref:`from PyPI`.
The command to install `kaldifeat` using ``conda`` is
.. code-block:: bash
conda install -c kaldifeat -c pytorch -c conda-forge kaldifeat python=3.8 cudatoolkit=11.1 pytorch=1.8.1
You can select the supported Python version, CUDA toolkit version and `PyTorch`_ version as you wish.
To install a CPU version of `kaldifeat`, use:
.. code-block:: bash
conda install -c kaldifeat -c pytorch cpuonly kaldifeat python=3.8 pytorch=1.8.1
.. caution::
If you encounter issues about missing GLIBC after installing `kaldifeat`_
with ``conda``, please consider :ref:`from source` or :ref:`from PyPI`.
The reason is that the package was built using Ubuntu 18.04 and your system's
GLIBC is older.
.. |os_types| image:: ./images/os-green.svg
:alt: Supported operating systems
.. |python_versions| image:: ./images/python_ge_3.6-blue.svg
:alt: Supported python versions
.. |cuda_versions| image:: ./images/cuda_ge_10.1-orange.svg
:alt: Supported cuda versions
.. |pytorch_versions| image:: ./images/pytorch_ge_1.5.0-green.svg
:alt: Supported pytorch versions
To test that you have installed `kaldifeat`_ successfully, please run:
.. code-block:: bash
python3 -c "import kaldifeat; print(kaldifeat.__version__)"
It should print the version, e.g., ``1.0``.
FAQs
----
How to install a CUDA version of kaldifeat
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
You need to first install a CUDA version of `PyTorch`_ and then install `kaldifeat`_.
.. note::
You can use a CUDA version of `kaldifeat`_ on machines with no GPUs.
How to install a CPU version of kaldifeat
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
You need to first install a CPU version of `PyTorch`_ and then install `kaldifeat`_.
How to fix `Caffe2: Cannot find cuDNN library`
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. code-block::
Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN
libraries. Please set the proper cuDNN prefixes and / or install cuDNN.
You will have such an error when you want to install a CUDA version of `kaldifeat`_
by ``pip install kaldifeat`` or from source.
You need to first install cuDNN. Assume you have installed cuDNN to the
path ``/path/to/cudnn``. You can fix the error by using ``one`` of the following
commands.
(1) Fix for installation using ``pip install``
.. code-block:: bash
export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
pip install --verbose kaldifeat
(2) Fix for installation from source
.. code-block:: bash
mkdir /some/path
git clone https://github.com/csukuangfj/kaldifeat.git
cd kaldifeat
export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
python setup.py install

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FAQs
====
How to install a CUDA version of kaldifeat from source
------------------------------------------------------
You need to first install a CUDA version of `PyTorch`_ and then install `kaldifeat`_.
.. note::
You can use a CUDA version of `kaldifeat`_ on machines with no GPUs.
How to install a CPU version of kaldifeat from source
-----------------------------------------------------
You need to first install a CPU version of `PyTorch`_ and then install `kaldifeat`_.
How to fix `Caffe2: Cannot find cuDNN library`
----------------------------------------------
.. code-block::
Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN
libraries. Please set the proper cuDNN prefixes and / or install cuDNN.
You will have such an error when you want to install a CUDA version of `kaldifeat`_
by ``pip install kaldifeat`` or from source.
You need to first install cuDNN. Assume you have installed cuDNN to the
path ``/path/to/cudnn``. You can fix the error by using ``one`` of the following
commands.
(1) Fix for installation using ``pip install``
.. code-block:: bash
export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
pip install --verbose kaldifeat
(2) Fix for installation from source
.. code-block:: bash
mkdir /some/path
git clone https://github.com/csukuangfj/kaldifeat.git
cd kaldifeat
export KALDIFEAT_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"
python setup.py install

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.. _from source:
Install kaldifeat from source
=============================
You have to install ``cmake`` and `PyTorch`_ first.
- ``cmake`` 3.11 is known to work. Other CMake versions may also work.
- `PyTorch`_ >= 1.5.0 is known to work. Other PyTorch versions may also work.
- Python >= 3.6
- A compiler that supports C++ 14
The commands to install `kaldifeat`_ from source are:
.. code-block:: bash
git clone https://github.com/csukuangfj/kaldifeat
cd kaldifeat
python3 setup.py install
To test that you have installed `kaldifeat`_ successfully, please run:
.. code-block:: bash
python3 -c "import kaldifeat; print(kaldifeat.__version__)"
It should print the version, e.g., ``1.0``.
.. _from PyPI:
Install kaldifeat from PyPI
---------------------------
The command to install `kaldifeat`_ from PyPI is:
.. code-block:: bash
pip install --verbose kaldifeat
To test that you have installed `kaldifeat`_ successfully, please run:
.. code-block:: bash
python3 -c "import kaldifeat; print(kaldifeat.__version__)"
It should print the version, e.g., ``1.0``.

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From pre-compiled wheels (Recommended)
=======================================
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>`_

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Installation
============
.. toctree::
:maxdepth: 2
./from_wheels.rst
./from_source.rst
./faq.rst

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@ -10,7 +10,6 @@ The following code shows how to construct an instance of `kaldifeat.FbankOptions
.. literalinclude:: ./code/fbank_options-1.txt
:caption: Usage of `kaldifeat.FbankOptions`_
:emphasize-lines: 6,8,22,37
:language: python
Note that we reuse the same option name with `compute-fbank-feats`_ from `Kaldi`_:

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<p class="caption" role="heading"><span class="caption-text">Contents</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="installation.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="installation/index.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="usage/index.html">Usage</a></li>
</ul>

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<p class="caption" role="heading"><span class="caption-text">Contents</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="installation.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="installation/index.html">Installation</a></li>
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<section id="installation">
<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this heading"></a></h1>
<blockquote>
<div><ul class="simple">
<li><p><img alt="Supported operating systems" src="_images/os-green.svg" /></p></li>
<li><p><img alt="Supported python versions" src="_images/python_ge_3.6-blue.svg" /></p></li>
<li><p><img alt="Supported pytorch versions" src="_images/pytorch_ge_1.5.0-green.svg" /></p></li>
<li><p><img alt="Supported cuda versions" src="_images/cuda_ge_10.1-orange.svg" /></p></li>
</ul>
</div></blockquote>
<div class="admonition caution">
<p class="admonition-title">Caution</p>
<p><a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> depends on <a class="reference external" href="https://pytorch.org/">PyTorch</a>. <a class="reference external" href="https://pytorch.org/">PyTorch</a> &gt;= 1.5.0 is known to work.</p>
<p>Please first install <a class="reference external" href="https://pytorch.org/">PyTorch</a> before you install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>.</p>
</div>
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>To install a CPU version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>, please install a CPU version
of <a class="reference external" href="https://pytorch.org/">PyTorch</a>.</p>
<p>To install a CUDA version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>, please install a CUDA version
of <a class="reference external" href="https://pytorch.org/">PyTorch</a>. CUDA &gt;= 10.1 is known to work.</p>
</div>
<section id="install-kaldifeat-from-source">
<span id="from-source"></span><h2>Install kaldifeat from source<a class="headerlink" href="#install-kaldifeat-from-source" title="Permalink to this heading"></a></h2>
<p>You have to install <code class="docutils literal notranslate"><span class="pre">cmake</span></code> and <a class="reference external" href="https://pytorch.org/">PyTorch</a> first.</p>
<blockquote>
<div><ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">cmake</span></code> 3.11 is known to work. Other CMake versions may also work.</p></li>
<li><p><a class="reference external" href="https://pytorch.org/">PyTorch</a> &gt;= 1.5.0 is known to work. Other PyTorch versions may also work.</p></li>
<li><p>Python &gt;= 3.6</p></li>
</ul>
</div></blockquote>
<p>The commands to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from source are:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/csukuangfj/kaldifeat
<span class="nb">cd</span><span class="w"> </span>kaldifeat
python3<span class="w"> </span>setup.py<span class="w"> </span>install
</pre></div>
</div>
<p>To test that you have installed <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> successfully, please run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import kaldifeat; print(kaldifeat.__version__)&quot;</span>
</pre></div>
</div>
<p>It should print the version, e.g., <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p>
</section>
<section id="install-kaldifeat-from-pypi">
<span id="from-pypi"></span><h2>Install kaldifeat from PyPI<a class="headerlink" href="#install-kaldifeat-from-pypi" title="Permalink to this heading"></a></h2>
<p>The command to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from PyPI is:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>--verbose<span class="w"> </span>kaldifeat
</pre></div>
</div>
<p>To test that you have installed <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> successfully, please run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import kaldifeat; print(kaldifeat.__version__)&quot;</span>
</pre></div>
</div>
<p>It should print the version, e.g., <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p>
</section>
<section id="install-kaldifeat-from-conda-only-for-linux">
<h2>Install kaldifeat from conda (Only for Linux)<a class="headerlink" href="#install-kaldifeat-from-conda-only-for-linux" title="Permalink to this heading"></a></h2>
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>Installation using <code class="docutils literal notranslate"><span class="pre">conda</span></code> supports only Linux. For macOS and Windows,
please use either <a class="reference internal" href="#from-source"><span class="std std-ref">Install kaldifeat from source</span></a> or <a class="reference internal" href="#from-pypi"><span class="std std-ref">Install kaldifeat from PyPI</span></a>.</p>
</div>
<p>The command to install <cite>kaldifeat</cite> using <code class="docutils literal notranslate"><span class="pre">conda</span></code> is</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>kaldifeat<span class="w"> </span>-c<span class="w"> </span>pytorch<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>kaldifeat<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.8<span class="w"> </span><span class="nv">cudatoolkit</span><span class="o">=</span><span class="m">11</span>.1<span class="w"> </span><span class="nv">pytorch</span><span class="o">=</span><span class="m">1</span>.8.1
</pre></div>
</div>
<p>You can select the supported Python version, CUDA toolkit version and <a class="reference external" href="https://pytorch.org/">PyTorch</a> version as you wish.</p>
<p>To install a CPU version of <cite>kaldifeat</cite>, use:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>kaldifeat<span class="w"> </span>-c<span class="w"> </span>pytorch<span class="w"> </span>cpuonly<span class="w"> </span>kaldifeat<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.8<span class="w"> </span><span class="nv">pytorch</span><span class="o">=</span><span class="m">1</span>.8.1
</pre></div>
</div>
<div class="admonition caution">
<p class="admonition-title">Caution</p>
<p>If you encounter issues about missing GLIBC after installing <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>
with <code class="docutils literal notranslate"><span class="pre">conda</span></code>, please consider <a class="reference internal" href="#from-source"><span class="std std-ref">Install kaldifeat from source</span></a> or <a class="reference internal" href="#from-pypi"><span class="std std-ref">Install kaldifeat from PyPI</span></a>.
The reason is that the package was built using Ubuntu 18.04 and your systems
GLIBC is older.</p>
</div>
<p>To test that you have installed <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> successfully, please run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import kaldifeat; print(kaldifeat.__version__)&quot;</span>
</pre></div>
</div>
<p>It should print the version, e.g., <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p>
</section>
<section id="faqs">
<h2>FAQs<a class="headerlink" href="#faqs" title="Permalink to this heading"></a></h2>
<section id="how-to-install-a-cuda-version-of-kaldifeat">
<h3>How to install a CUDA version of kaldifeat<a class="headerlink" href="#how-to-install-a-cuda-version-of-kaldifeat" title="Permalink to this heading"></a></h3>
<p>You need to first install a CUDA version of <a class="reference external" href="https://pytorch.org/">PyTorch</a> and then install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>You can use a CUDA version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> on machines with no GPUs.</p>
</div>
</section>
<section id="how-to-install-a-cpu-version-of-kaldifeat">
<h3>How to install a CPU version of kaldifeat<a class="headerlink" href="#how-to-install-a-cpu-version-of-kaldifeat" title="Permalink to this heading"></a></h3>
<p>You need to first install a CPU version of <a class="reference external" href="https://pytorch.org/">PyTorch</a> and then install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>.</p>
</section>
<section id="how-to-fix-caffe2-cannot-find-cudnn-library">
<h3>How to fix <cite>Caffe2: Cannot find cuDNN library</cite><a class="headerlink" href="#how-to-fix-caffe2-cannot-find-cudnn-library" title="Permalink to this heading"></a></h3>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Your</span> <span class="n">installed</span> <span class="n">Caffe2</span> <span class="n">version</span> <span class="n">uses</span> <span class="n">cuDNN</span> <span class="n">but</span> <span class="n">I</span> <span class="n">cannot</span> <span class="n">find</span> <span class="n">the</span> <span class="n">cuDNN</span>
<span class="n">libraries</span><span class="o">.</span> <span class="n">Please</span> <span class="nb">set</span> <span class="n">the</span> <span class="n">proper</span> <span class="n">cuDNN</span> <span class="n">prefixes</span> <span class="ow">and</span> <span class="o">/</span> <span class="ow">or</span> <span class="n">install</span> <span class="n">cuDNN</span><span class="o">.</span>
</pre></div>
</div>
<p>You will have such an error when you want to install a CUDA version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>
by <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">kaldifeat</span></code> or from source.</p>
<p>You need to first install cuDNN. Assume you have installed cuDNN to the
path <code class="docutils literal notranslate"><span class="pre">/path/to/cudnn</span></code>. You can fix the error by using <code class="docutils literal notranslate"><span class="pre">one</span></code> of the following
commands.</p>
<ol class="arabic simple">
<li><p>Fix for installation using <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span></code></p></li>
</ol>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">export</span><span class="w"> </span><span class="nv">KALDIFEAT_CMAKE_ARGS</span><span class="o">=</span><span class="s2">&quot;-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include&quot;</span>
pip<span class="w"> </span>install<span class="w"> </span>--verbose<span class="w"> </span>kaldifeat
</pre></div>
</div>
<ol class="arabic simple" start="2">
<li><p>Fix for installation from source</p></li>
</ol>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>mkdir<span class="w"> </span>/some/path
git<span class="w"> </span>clone<span class="w"> </span>https://github.com/csukuangfj/kaldifeat.git
<span class="nb">cd</span><span class="w"> </span>kaldifeat
<span class="nb">export</span><span class="w"> </span><span class="nv">KALDIFEAT_CMAKE_ARGS</span><span class="o">=</span><span class="s2">&quot;-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include&quot;</span>
python<span class="w"> </span>setup.py<span class="w"> </span>install
</pre></div>
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<li class="toctree-l1"><a class="reference internal" href="../intro.html">Introduction</a></li>
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<li class="toctree-l3"><a class="reference internal" href="#how-to-install-a-cuda-version-of-kaldifeat-from-source">How to install a CUDA version of kaldifeat from source</a></li>
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<li class="toctree-l3"><a class="reference internal" href="#how-to-fix-caffe2-cannot-find-cudnn-library">How to fix <cite>Caffe2: Cannot find cuDNN library</cite></a></li>
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<h1>FAQs<a class="headerlink" href="#faqs" title="Permalink to this heading"></a></h1>
<section id="how-to-install-a-cuda-version-of-kaldifeat-from-source">
<h2>How to install a CUDA version of kaldifeat from source<a class="headerlink" href="#how-to-install-a-cuda-version-of-kaldifeat-from-source" title="Permalink to this heading"></a></h2>
<p>You need to first install a CUDA version of <a class="reference external" href="https://pytorch.org/">PyTorch</a> and then install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>You can use a CUDA version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> on machines with no GPUs.</p>
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<section id="how-to-install-a-cpu-version-of-kaldifeat-from-source">
<h2>How to install a CPU version of kaldifeat from source<a class="headerlink" href="#how-to-install-a-cpu-version-of-kaldifeat-from-source" title="Permalink to this heading"></a></h2>
<p>You need to first install a CPU version of <a class="reference external" href="https://pytorch.org/">PyTorch</a> and then install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>.</p>
</section>
<section id="how-to-fix-caffe2-cannot-find-cudnn-library">
<h2>How to fix <cite>Caffe2: Cannot find cuDNN library</cite><a class="headerlink" href="#how-to-fix-caffe2-cannot-find-cudnn-library" title="Permalink to this heading"></a></h2>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Your</span> <span class="n">installed</span> <span class="n">Caffe2</span> <span class="n">version</span> <span class="n">uses</span> <span class="n">cuDNN</span> <span class="n">but</span> <span class="n">I</span> <span class="n">cannot</span> <span class="n">find</span> <span class="n">the</span> <span class="n">cuDNN</span>
<span class="n">libraries</span><span class="o">.</span> <span class="n">Please</span> <span class="nb">set</span> <span class="n">the</span> <span class="n">proper</span> <span class="n">cuDNN</span> <span class="n">prefixes</span> <span class="ow">and</span> <span class="o">/</span> <span class="ow">or</span> <span class="n">install</span> <span class="n">cuDNN</span><span class="o">.</span>
</pre></div>
</div>
<p>You will have such an error when you want to install a CUDA version of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a>
by <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">kaldifeat</span></code> or from source.</p>
<p>You need to first install cuDNN. Assume you have installed cuDNN to the
path <code class="docutils literal notranslate"><span class="pre">/path/to/cudnn</span></code>. You can fix the error by using <code class="docutils literal notranslate"><span class="pre">one</span></code> of the following
commands.</p>
<ol class="arabic simple">
<li><p>Fix for installation using <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span></code></p></li>
</ol>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">export</span><span class="w"> </span><span class="nv">KALDIFEAT_CMAKE_ARGS</span><span class="o">=</span><span class="s2">&quot;-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include&quot;</span>
pip<span class="w"> </span>install<span class="w"> </span>--verbose<span class="w"> </span>kaldifeat
</pre></div>
</div>
<ol class="arabic simple" start="2">
<li><p>Fix for installation from source</p></li>
</ol>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>mkdir<span class="w"> </span>/some/path
git<span class="w"> </span>clone<span class="w"> </span>https://github.com/csukuangfj/kaldifeat.git
<span class="nb">cd</span><span class="w"> </span>kaldifeat
<span class="nb">export</span><span class="w"> </span><span class="nv">KALDIFEAT_CMAKE_ARGS</span><span class="o">=</span><span class="s2">&quot;-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include&quot;</span>
python<span class="w"> </span>setup.py<span class="w"> </span>install
</pre></div>
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<section id="install-kaldifeat-from-source">
<span id="from-source"></span><h1>Install kaldifeat from source<a class="headerlink" href="#install-kaldifeat-from-source" title="Permalink to this heading"></a></h1>
<p>You have to install <code class="docutils literal notranslate"><span class="pre">cmake</span></code> and <a class="reference external" href="https://pytorch.org/">PyTorch</a> first.</p>
<blockquote>
<div><ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">cmake</span></code> 3.11 is known to work. Other CMake versions may also work.</p></li>
<li><p><a class="reference external" href="https://pytorch.org/">PyTorch</a> &gt;= 1.5.0 is known to work. Other PyTorch versions may also work.</p></li>
<li><p>Python &gt;= 3.6</p></li>
<li><p>A compiler that supports C++ 14</p></li>
</ul>
</div></blockquote>
<p>The commands to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from source are:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/csukuangfj/kaldifeat
<span class="nb">cd</span><span class="w"> </span>kaldifeat
python3<span class="w"> </span>setup.py<span class="w"> </span>install
</pre></div>
</div>
<p>To test that you have installed <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> successfully, please run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import kaldifeat; print(kaldifeat.__version__)&quot;</span>
</pre></div>
</div>
<p>It should print the version, e.g., <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p>
<section id="install-kaldifeat-from-pypi">
<span id="from-pypi"></span><h2>Install kaldifeat from PyPI<a class="headerlink" href="#install-kaldifeat-from-pypi" title="Permalink to this heading"></a></h2>
<p>The command to install <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> from PyPI is:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>--verbose<span class="w"> </span>kaldifeat
</pre></div>
</div>
<p>To test that you have installed <a class="reference external" href="https://github.com/csukuangfj/kaldifeat">kaldifeat</a> successfully, please run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import kaldifeat; print(kaldifeat.__version__)&quot;</span>
</pre></div>
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<p>It should print the version, e.g., <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p>
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<h1>From pre-compiled wheels (Recommended)<a class="headerlink" href="#from-pre-compiled-wheels-recommended" title="Permalink to this heading"></a></h1>
<p>You can find pre-compiled wheels at</p>
<blockquote>
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<li><p>CPU wheels: <a class="reference external" href="https://csukuangfj.github.io/kaldifeat/cpu.html">https://csukuangfj.github.io/kaldifeat/cpu.html</a></p></li>
<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>
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<li class="toctree-l2"><a class="reference internal" href="fbank_options.html">kaldifeat.FbankOptions</a></li>
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<p>The following code shows how to construct an instance of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat/blob/master/kaldifeat/csrc/feature-fbank.h#L19">kaldifeat.FbankOptions</a>.</p>
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<div class="code-block-caption"><span class="caption-number">Listing 1 </span><span class="caption-text">Usage of <a class="reference external" href="https://github.com/csukuangfj/kaldifeat/blob/master/kaldifeat/csrc/feature-fbank.h#L19">kaldifeat.FbankOptions</a></span><a class="headerlink" href="#id2" title="Permalink to this code"></a></div>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span>$ python3
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ python3
Python 3.8.0 (default, Oct 28 2019, 16:14:01)
[GCC 8.3.0] on linux
Type &quot;help&quot;, &quot;copyright&quot;, &quot;credits&quot; or &quot;license&quot; for more information.

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