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# femtocrux

Compiler API for the Femotsense Sparse Processing Unit (SPU).

This package drives compilation of machine learning models to SPU binaries, as well as simulation of those binaries on SPU hardware.

The package itself is a thin Python wrapper communicating to the actual compiler / simulator via gRPC.

Supported ML model representations:
 - Femtosense Quantized IR (FQIR)

## Installation

You will need to install `femtocrux` and `femtodriver` to compile models to run on the SPU and to run simulations to
get power metrics.

You will need to have python `3.10` and Docker installed.
Install Docker by following [these instructions](https://docs.docker.com/get-docker/).

femtocrux is available on PyPI via

```
pip install femtocrux
```

femtodriver is also available on PyPI via

```
pip install femtodriver
```

## Usage

Please refer to the documentation in the [e2e walkthrough](https://femtocrux.femtosense.ai/en/latest/e2e_example/e2e_example.html) for a full example of how to create a model in pytorch, use femtodriver to compile program files
to run on the SPU, and for how to run simulations of the model to get power estimates.

If you want more detailed documentation of all the options you can use to compile and simulate with please refer to
the [femtodriver documentation](https://pypi.org/project/femtodriver/).
```


Meet the Socket Team at BlackHat and DEF CON in Las Vegas, Aug 4-6

femtocrux

femtosense

rohit.pidaparthi

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femtocrux

femtocrux

Installation

Usage

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