# Installation¶

The preferred way to install this package is by using the Python package index:

pip install aihwkit


Note

During the initial beta stage, we do not provide pip wheels (as in, pre-compiled binaries) for all the possible platform, version and architecture combinations (in particular, only CPU versions are provided).

Please refer to the Advanced installation guide page for instruction on how to compile the library for your environment in case you encounter errors during installing from pip.

The packages require the following runtime libraries to be installed in your system:

## Verifying the installation¶

If the library was installed correctly, you can use the following snippet for creating an analog layer and predicting the output:

from torch import Tensor
from aihwkit.nn import AnalogLinear

model = AnalogLinear(3, 2)
model(Tensor([[0.1, 0.2], [0.3, 0.4]]))


You can read more about the Pytorch layers in the Using the pytorch integration section, and about the internal analog tiles in the Using analog tiles section.

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Note that GPU support is not available in OSX, as it depends on a platform that has official CUDA support.