Skip to main content

Femtosense Compiler

Project description

Build Status

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)
  • Tensorflow Lite (TFLite)

Installation

You will need to have python 3.10 and Docker installed. Install Docker by following these instructions.

femtocrux is available on PyPI via

pip install femtocrux

Basic Usage

# fqir_model = ... # Assuming we have an FQIRModel
# inputs = ... # Assuming we have inputs for the model

from femtocrux import CompilerClient
client = CompilerClient()
simulator = client.simulate(fqir_model)
outputs = simulator.simulate(inputs)

APIs

Coming soon...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

femtocrux-0.2.10.post1-py3-none-any.whl (18.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page