Installation
--- --
-- -
- -
- -
- -
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.
-Install kaldifeat from source
-You have to install cmake and PyTorch first.
---
-- -
cmake3.11 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:
-git clone https://github.com/csukuangfj/kaldifeat
-cd kaldifeat
-python3 setup.py install
-To test that you have installed kaldifeat successfully, please run:
-python3 -c "import kaldifeat; print(kaldifeat.__version__)"
-It should print the version, e.g., 1.0.
Install kaldifeat from PyPI
-The command to install kaldifeat from PyPI is:
-pip install --verbose kaldifeat
-To test that you have installed kaldifeat successfully, please run:
-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 Install kaldifeat from source or Install kaldifeat from PyPI.
The command to install kaldifeat using conda is
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:
-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 Install kaldifeat from source or Install kaldifeat from PyPI.
-The reason is that the package was built using Ubuntu 18.04 and your system’s
-GLIBC is older.
To test that you have installed kaldifeat successfully, please run:
-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
-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.
-
-
Fix for installation using
pip install
-
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
--
-
Fix for installation from source
-
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
-