onnc-bench 2.1.0

ONNC-bench is a Python wrapper of ONNC

ONNC-bench

ONNC-bench is a Python wrapper of ONNC

Installation

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 `IOT_M487` device
project.compile(device='NUMAKER_IOT_M487')


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

print(deployment.report)

{
    'sram_size': 2490,
    'flash_size': 101970
}

The report shows we need: 2,490 bytes of SRAM 101,970 bytes of ROM to run this model on a CortexM device.

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