Frequently asked questions

Where to ask for help

Please create a new issue at https://github.com/k2-fsa/sherpa/issues.

Hint

Please search for existing issues, if there are any, before creating a new one.

How to install a CPU version of sherpa

All you need to do is to install a CPU version of PyTorch before installing sherpa.

How to install sherpa with CUDA support

All you need to do is to install a CUDA version of PyTorch before installing sherpa

Could not find PyTorch

If you have the following error while installing sherpa:

CMake Error at cmake/torch.cmake:14 (find_package):
  By not providing "FindTorch.cmake" in CMAKE_MODULE_PATH this project has
  asked CMake to find a package configuration file provided by "Torch", but
  CMake did not find one.

  Could not find a package configuration file provided by "Torch" with any of
  the following names:

    TorchConfig.cmake
    torch-config.cmake

  Add the installation prefix of "Torch" to CMAKE_PREFIX_PATH or set
  "Torch_DIR" to a directory containing one of the above files.  If "Torch"
  provides a separate development package or SDK, be sure it has been
  installed.
Call Stack (most recent call first):
  CMakeLists.txt:120 (include)

The fix is to install PyTorch first and retry.

If it still does not work, please make sure you have used the same (virtual) environment where PyTorch is installed to compile sherpa.

Hint

You can look for the path to the python3 executable in the output of cmake to find out which environment cmake is using.

How to fix Caffe2: Cannot find cuDNN library

This issue happens only when you have installed a CUDA version of PyTorch but without installing cuDNN.

The fix is to install cuDNN.

If you have installed cuDNN and it still does not help, you can do

export SHERPA_CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DCUDNN_LIBRARY_PATH=/path/to/cudnn/lib/libcudnn.so -DCUDNN_INCLUDE_PATH=/path/to/cudnn/include"

before running pip install --verbose k2-sherpa or python3 setup.py install.

Hint

The above command assumes that you have installed cuDNN to /path/to/cudnn and you can find the following files:

• /path/to/cudnn/lib/libcudnn.so

• /path/to/cudnn/include/cudnn.h

Hint

If you are using conda, you can use:

conda install cudnn

to install cudnn. And possibly you don’t need to set the above environment variable SHERPA_CMAKE_ARGS after you ran conda install cudnn.

How to uninstall sherpa

pip uninstall k2-sherpa