| #!/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()) | |