9adae3fb5a4b6fe785e7d896592ccf583681d376,tensorlayer/files/utils.py,,save_hdf5_graph,#Any#Any#Any#Any#,153

Before Change

    model_config = network.config  // net2static_graph(network)
    model_config_str = str(model_config)
    customized_data_str = str(customized_data)
    version_info = {
        "tensorlayer_version": tl.__version__,
        "backend": "tensorflow",
        "backend_version": tf.__version__,
        "training_device": "gpu",
        "save_date": datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc).isoformat()
    }
    version_info_str = str(version_info)

    with h5py.File(filepath, "w") as f:
        f.attrs["model_config"] = model_config_str.encode("utf8")

After Change

    logging.info("[*] Saving TL model into {}, saving weights={}".format(filepath, save_weights))

    model_config = network.config  // net2static_graph(network)
    model_config["version_info"]["save_time"] = datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc).isoformat()
    model_config_str = str(model_config)
    customized_data_str = str(customized_data)
    // version_info = {
    //     "tensorlayer_version": tl.__version__,

Instances