tensorflow_inception_graph/convert_to_onnx.py

import argparse
import datetime

import onnx
import tensorflow as tf
import tf2onnx


def load_graph_def(pb_path):
    with tf.io.gfile.GFile(pb_path, "rb") as f:
        graph_def = tf.compat.v1.GraphDef()
        graph_def.ParseFromString(f.read())
    return graph_def


def main():
    parser = argparse.ArgumentParser(description="Export tensorflow_inception_graph.pb to ONNX")
    parser.add_argument("--pb", default="../pb/tensorflow_inception_graph.pb")
    parser.add_argument("--opset", type=int, default=18)
    args = parser.parse_args()

    graph_def = load_graph_def(args.pb)

    model_proto, _ = tf2onnx.convert.from_graph_def(
        graph_def,
        input_names=["input:0"],
        output_names=["softmax2:0"],
        inputs_as_nchw=["input:0"],
        opset=args.opset,
        shape_override={"input:0": [1, 224, 224, 3]},
    )
    onnx.checker.check_model(model_proto)

    stamp = datetime.datetime.now().strftime("%Y%b").lower()
    onnx_path = "tensorflow_inception_graph_%s.onnx" % stamp
    with open(onnx_path, "wb") as f:
        f.write(model_proto.SerializeToString())
    print("wrote", onnx_path)


if __name__ == "__main__":
    main()