j&ddlmZddlmZddlmZddlZddlZddl m Z m Z m Z ddl mZddlmZddlmZdd lmZd+d Zd,dZd-d.dZ d/d0d Zd1d2d"Zd1d3d&Zd4d5d)Zd*ZdS)6) annotations)partial)PathN)DetectPosePose26)LOGGER)attempt_download_asset)spaces_in_path) make_anchorsmodeltorch.nn.Modulereturnc X|D]}t|tsddl}|t ||_t|trC|ttt|tu||_ |S)z\A wrapper for TensorFlow export compatibility (TF-specific handling is now in head modules).rN) is_pose26) modules isinstancertypes MethodType_tf_decode_boxes_get_decode_boxesrr_tf_kpts_decodetyper kpts_decode)r mrs h/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/utils/export/tensorflow.py tf_wrapperrs ]]__gg!V$$   #../?CC a   g!,,W_PTUVPWPW[aPa-b-b-bdeffAM Lxdict[str, torch.Tensor] torch.TensorcB|ddj}|d}|jdkrL|js |j|kr:dt|d|jdD\|_|_||_|dd\}}tj||||g|j  d dd }|j|jd|zz }| | ||z|j d|d d d dfz}|S) z,Decode bounding boxes for TensorFlow export.featsrboxesimxc3BK|]}|ddVdS)rN) transpose).0as r z#_tf_decode_boxes..$s0%l%lAakk!Q&7&7%l%l%l%l%l%lr?devicer'N)shapeformatdynamicr strideanchorsstridestorchtensorr0reshape decode_bboxesdfl unsqueeze) selfrr1r$grid_hgrid_w grid_sizenormdboxs rrrs' gJqM E gJE {eu1D1D%l%laPWjZ^ZegjAkAk%l%l%l" dl 1Q3ZNFF ffff=elSSS[[\]_`bcddI <4;q>I5 6D   dhhuoo4dl6L6LQ6O6ORVWXWXWXZ\[\Z\W\R]6] ^ ^D KrFkptsrboolcF|jd}|jd}|j|g|jdR}|jdd\}}tj||g|jddd}|j|jd|zz } |r|ddddddf|j zn|ddddddfdz|j d z z| z} |d kr8tj | |dddddd f fd} | ||j dS) z'Decode keypoints for TensorFlow export.r'rr-r.r/Ng@r,) kpt_shaper1viewr7r8r0r9r6r4r5catsigmoidnk) r=rCrndimbsyr>r?r@rAr*s rrr-sC >! D AB "*t~*r***AZ!_NFF ff-ah???GG1aPPI <4;q>I5 6D)2 b!AAAqqq"1"H+ $ $111aaa!8s9Jdl]`N`9afjjA qyy Iq!AAAqqq!A#I,..0011 5 5 66"dgr " ""r onnx_filestr output_dirrint8images np.ndarraydisable_group_convolutionc ftd}|st|dddd}|rQ|dz }|J|ddt jt ||d|gd ggggd ggggg}d dl} t| j d sd dl fd } | | j _ d dl } tj|d| jd| |t |dd||| d| } |r|d|dD]K} | | | jdd| jzL|dD]} | | S)aConvert an ONNX model to TensorFlow SavedModel format using onnx2tf. Args: onnx_file (str): ONNX file path. output_dir (Path): Output directory path for the SavedModel. int8 (bool, optional): Enable INT8 quantization. Defaults to False. images (np.ndarray, optional): Calibration images for INT8 quantization in BHWC format. disable_group_convolution (bool, optional): Disable group convolution optimization. Defaults to False. prefix (str, optional): Logging prefix. Defaults to "". Returns: (keras.Model): Converted Keras model. Notes: - Requires onnx2tf package. 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Args: keras_model (keras.Model): Keras model to convert to frozen graph format. file (Path): Output file path (suffix will be changed to .pb). prefix (str, optional): Logging prefix. Defaults to "". Notes: Creates a frozen graph by converting variables to constants for inference optimization. rN)!convert_variables_to_constants_v2 z! starting export with tensorflow rfc|S)N)rrs rzkeras2pb..skk!nnrF)graph_or_graph_deflogdirnameas_text) tensorflow0tensorflow.python.framework.convert_to_constantsrr r{r|functionget_concrete_function TensorSpecinputsr1dtypegraph as_graph_defio write_graphrRparentr)rrrtfrr frozen_funcs` rkeras2pbrsbbbbbb KQVQQbnQQQRRR ,,,,--A  k.@.C.I;K]^_K`Kf g ghhA33A66K""$$$E):3t{CSCSZ^Zcmrsssssr tflite_file str | Pathrcddl}d|d|d}tj|d|d||d dS) aConvert a TensorFlow Lite model to Edge TPU format using the Edge TPU compiler. Args: tflite_file (str | Path): Path to the input TensorFlow Lite (.tflite) model file. output_dir (str | Path): Output directory path for the compiled Edge TPU model. prefix (str, optional): Logging prefix. Defaults to "". Notes: Requires the Edge TPU compiler to be installed. The function compiles the TFLite model for optimal performance on Google's Edge TPU hardware accelerator. rNzedgetpu_compiler --out_dir "zS" --show_operations --search_delegate --delegate_search_step 30 --timeout_sec 180 "" running ''Tshell) subprocessr r{run)rrSrrcmds rtflite2edgetpursz          K6++S+++,,,NN3dN#####rpb_filehalfc 0ddl}ddl}ddl}tjd|d|jd|}t|d5} | | dddn #1swxYwYd t|} tjd|d| |rd n|rd nd } t|5} t|5} d | d | d| d| d }tj|d|d||ddddn #1swxYwYdddn #1swxYwYd|vrtj|d|ddSdS)aConvert a TensorFlow GraphDef (.pb) model to TensorFlow.js format. Args: pb_file (str): Path to the input TensorFlow GraphDef (.pb) model file. output_dir (str): Output directory path for the converted TensorFlow.js model. half (bool, optional): Enable FP16 quantization. Defaults to False. int8 (bool, optional): Enable INT8 quantization. Defaults to False. prefix (str, optional): Logging prefix. Defaults to "". Notes: Requires tensorflowjs package. Uses tensorflowjs_converter command-line tool for conversion. 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