onnc-bench 4.3.1

ONNC-bench is a Python wrapper of ONNC

WARNING: This repository is no longer maintained ⚠️

This repository has been moved to:

• https://github.com/skymizer/oasis-api-client
• https://pypi.org/project/oasis-api-client/

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ONNC-bench

ONNC-bench is a Python wrapper of ONNC

Installation

Developer install

python3 -m pip install -e .

Using pip

pip install onnc-bench

Python API Example

Here is an example to show how to use ONNC python API

from onnc.bench import login, Project
# Setup your ONNC API key
api_key = "Your API KEY"
login(api_key)

# Instantiate a projct
project = Project('experiment-1')

# Add a model and its coresponding calibration samples
project.add_model('path/to/model', 'path/to/samples')

# Compile the model and optmize to `CMSIS-NN` backend
project.compile(target='CMSIS-NN-DEFAULT')


# Save the compiled model
deployment = project.save('./output')

Please Check https://docs-tinyonnc.skymizer.com/index.html for the full documents.