# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

# Example script for exporting simple models to flatbuffer

import logging

import torch

from executorch.backends.cadence.aot.ops_registrations import *  # noqa


from executorch.backends.cadence.aot.export_example import export_model
from torchvision.models import resnet50, ResNet50_Weights


FORMAT = "[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s"
logging.basicConfig(level=logging.INFO, format=FORMAT)


if __name__ == "__main__":

    model = resnet50(weights=ResNet50_Weights.DEFAULT)
    model.eval()
    example_inputs = (torch.randn(1, 3, 64, 64),)

    export_model(model, example_inputs)