onnx_validate.py

# 
# Check that an ONNX model is valid and well-formed.
#
# Before running this script, install the following:
#
#    $ sudo apt-get install protobuf-compiler libprotoc-dev
#    $ pip install onnx
#
import onnx
import argparse
import sys

parser = argparse.ArgumentParser()
parser.add_argument('model', type=str, default='resnet18.onnx', help='path to ONNX model to validate')
args = parser.parse_args(sys.argv[1:])

# Load the ONNX model
model = onnx.load(args.model)

# Print a human readable representation of the graph
print('Network Graph:')
print(onnx.helper.printable_graph(model.graph))
print('')

# Print model metadata
print('ONNX version:      ' + onnx.__version__)
print('IR version:        {:d}'.format(model.ir_version))
print('Producer name:     ' + model.producer_name)
print('Producer version:  ' + model.producer_version)
print('Model version:     {:d}'.format(model.model_version))
print('')

# Check that the IR is well formed
print('Checking model IR...')
onnx.checker.check_model(model)
print('The model was checked successfully!')