Hi, thanks for your reply.
the tensorflow model is from https://zenodo.org/record/3345892/files/tf_ssd_resnet34_22.1.zip?download=1 in page : https://github.com/mlcommons/inference/tree/master/vision/classification_and_detection actually, the script is simple like below: with tf.gfile.FastGFile(model_path, 'rb') as f: graph_def = tf.compat.v1.GraphDef() graph_def.ParseFromString(f.read()) graph = tf.import_graph_def(graph_def, name='') graph_def = tf_testing.ProcessGraphDefParam(graph_def) with tf.Session() as sess: graph_def = tf_testing.AddShapesToGraphDef(sess, output_name) mod, params = relay.frontend.from_tensorflow(graph_def, layout=layout, shape={input_name[0]:(relay.Any(), 3, 1200, 1200)}) --- [Visit Topic](https://discuss.tvm.apache.org/t/typeerror-int-argument-must-be-a-string-a-bytes-like-object-or-a-number-not-any/11468/6) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/8854dfbb407ae9ea89ff80d03eadfcb2caa5a7f48644f4288bbb78f061541af1).
