Installation¶
Installing PyTorchSpiking¶
We recommend using pip
to install PyTorchSpiking:
pip install pytorch-spiking
That’s it!
Requirements¶
PyTorchSpiking works with Python 3.6 or later. pip
will do its best to install
all of PyTorchSpiking’s requirements automatically. However, if anything
goes wrong during this process you can install the requirements manually and
then try to pip install pytorch-spiking
again.
Developer installation¶
If you want to modify PyTorchSpiking, or get the very latest updates, you will need to perform a developer installation:
git clone https://github.com/nengo/pytorch-spiking.git
pip install -e ./pytorch-spiking
Installing PyTorch¶
The PyTorch documentation has a
useful tool to determine
the appropriate command to install pytorch on your system. We would recommend using
conda
, as it will take care of installing the other GPU-related packages, like
CUDA/cuDNN.