2023-07-24 09:22:08 +08:00

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FAQs
====
How to install a CUDA version of kaldifeat from source
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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`
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.. 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