def save(save_url, input_name, output_names, image_shape, image_value_range): metadata = { "input_name" : input_name, "image_shape" : image_shape, "image_value_range": image_value_range, } graph_def = model_util.frozen_default_graph_def([input_name], output_names) model_util.infuse_metadata(graph_def, metadata) save(graph_def, save_url)
def save(save_url, input_name, output_names, image_shape, image_value_range): if ":" in input_name: raise ValueError("input_name appears to be a tensor (name contains ':') but must be an op.") if any([":" in name for name in output_names]): raise ValueError("output_namess appears to be contain tensor (name contains ':') but must be ops.") metadata = { "input_name" : input_name, "image_shape" : image_shape, "image_value_range": image_value_range, } graph_def = model_util.frozen_default_graph_def([input_name], output_names) model_util.infuse_metadata(graph_def, metadata) save(graph_def, save_url)