B d@sdZddlmZddlmZddlmZddlmZddlmZddl m Z ddl m Z dd lmZdd lmZd d Zd dZddZdddZeejejddZdS)z4Functions to convert SavedModel to frozen GraphDefs.)util) Component) convert_phase) SubComponent)session)ops) tf_logging) constants)loaderc Cs*tjtd}t|||SQRXdS)a'Validate saved_model and extract MetaGraphDef. Args: saved_model_dir: saved_model path to convert. tag_set: Set of tag(s) of the MetaGraphDef to load. Returns: The meta_graph_def used for tflite conversion. Raises: ValueError: No valid MetaGraphDef for given tag_set. )graphN)rSessionrGraphr load)saved_model_dirtag_setsessr\/var/www/html/venv/lib/python3.7/site-packages/tensorflow/lite/python/convert_saved_model.pyget_meta_graph_defs rcCsD|j}t|}td|||krSsz.gather_names..r)r$r)r$r gather_namesRsz(get_inputs_outputs..gather_names)inputsoutputs)rZinputs_tensor_infoZoutputs_tensor_infor&r'r(rrrget_inputs_outputsFs r)NcsFg}|rt|}t|}n$|r:fddt|D}ntd|S)aGets the tensors associated with the tensor names. Either signature_def_tensor_names or user_tensor_names should be provided. If the user provides tensors, the tensors associated with the user provided tensor names are provided. Otherwise, the tensors associated with the names in the SignatureDef are provided. Args: graph: GraphDef representing graph. signature_def_tensor_names: Tensor names stored in either the inputs or outputs of a SignatureDef. (default None) user_tensor_names: Tensor names provided by the user. (default None) Returns: List of tensors. Raises: ValueError: signature_def_tensors and user_tensor_names are undefined or empty. user_tensor_names are not valid. csg|]}|qSr)Zget_tensor_by_name)r"r!)r rrr%ysz _get_tensors..z>Specify either signature_def_tensor_names or user_tensor_names)sortedrZget_tensors_from_tensor_namesr)r Zsignature_def_tensor_namesZuser_tensor_namesZtensorsr)r r _get_tensorsZs r+c Cst||}t||}t|\}} |j} tj| kr8tdt} t j | dT} t | |j j|t| ||} t| | |}t| |t| | |}|| || jfSQRXdS)aConverts a SavedModel to a frozen graph. Args: saved_model_dir: SavedModel directory to convert. input_arrays: List of input tensors to freeze graph with. Uses input arrays from SignatureDef when none are provided. input_shapes: Dict of strings representing input tensor names to list of integers representing input shapes (e.g., {"foo": : [1, 16, 16, 3]}). Automatically determined when input shapes is None (e.g., {"foo" : None}). output_arrays: List of output tensors to freeze graph with. Uses output arrays from SignatureDef when none are provided. tag_set: Set of tags identifying the MetaGraphDef within the SavedModel to analyze. All tags in the tag set must be present. signature_key: Key identifying SignatureDef containing inputs and outputs. Returns: frozen_graph_def: Frozen GraphDef. in_tensors: List of input tensors for the graph. out_tensors: List of output tensors for the graph. graph: `Graph` object. Raises: ValueError: SavedModel doesn't contain a MetaGraphDef identified by tag_set. signature_key is not in the MetaGraphDef. assets/ directory is in the MetaGraphDef. input_shapes does not match the length of input_arrays. input_arrays or output_arrays are not valid. z5SavedModels with assets/ directory are not supported.)r N)rr r)collection_defr Z ASSETS_KEYrrr rr r rZ meta_info_deftagsr+rZset_tensor_shapesZ freeze_graphr )rZ input_arraysZ input_shapesZ output_arraysrrrrr'r(r,r rZ in_tensorsZ out_tensorsZfrozen_graph_defrrrfreeze_saved_models!       r.)NN)__doc__Ztensorflow.lite.pythonrZ$tensorflow.lite.python.convert_phaserrrZtensorflow.python.clientrZtensorflow.python.frameworkrZtensorflow.python.platformrrZtensorflow.python.saved_modelr r rr r)r+ZPREPARE_TF_MODELZFREEZE_SAVED_MODELr.rrrrs          *