Installation

We provide the following approaches to install k2. You can choose any of them that is appropriate for you.

• From pre-compiled wheels (recommended)
• Install from source
• For developers
• CUDA and cuDNN
• FAQs

Reporting issues

If you encounter any errors while using k2 after installation, please create an issue on GitHub and tell us your current environment by posting the output of the following two commands:

python3 -m k2.version
python3 -m torch.utils.collect_env