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#!/usr/bin/env python3
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
"""Utility for optimizing ONNX models.
Usage:
python optimize.py model.onnx optimized_model.onnx
"""
import argparse
import os
import onnx
import onnx.inliner
import onnxscript
def main(args) -> None:
path = args.path
output_path = args.output_path
model = onnx.load(path, load_external_data=False)
# Hack: Change the working directory to the model directory so the optimizer
# can load external data files with relative paths.
# TODO: Remove this hack by fixing the optimizer to handle external data files properly.
pwd = os.getcwd()
model_dir = os.path.dirname(path)
os.chdir(model_dir)
model = onnxscript.optimizer.optimize(model)
model = onnx.inliner.inline_local_functions(model)
# Optimize again in case inlining created new opportunities.
model = onnxscript.optimizer.optimize(model)
os.chdir(pwd)
onnx.save(model, output_path)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Optimize an ONNX model.")
parser.add_argument("path", type=str, help="Path to the ONNX model.")
parser.add_argument("output_path", type=str, help="Path to save the optimized model.")
main(parser.parse_args())
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