a yfb@sddZddlmZddlZddlZddlmZmZm Z ddl m Z m Z dd d Z dd ejfd d ZdS)zlFunctions for estimating the best YOLO batch size to use a fraction of the available CUDA memory in PyTorch.)deepcopyN) DEFAULT_CFGLOGGERcolorstr)autocastprofileTcCs`t|dBtt||d|kr.dkr6nn|nddWdS1sR0YdS)a` Compute optimal YOLO training batch size using the autobatch() function. Args: model (torch.nn.Module): YOLO model to check batch size for. imgsz (int, optional): Image size used for training. amp (bool, optional): Use automatic mixed precision if True. batch (float, optional): Fraction of GPU memory to use. If -1, use default. Returns: (int): Optimal batch size computed using the autobatch() function. Note: If 0.0 < batch < 1.0, it's used as the fraction of GPU memory to use. Otherwise, a default fraction of 0.6 is used. )enabledgg?333333?)fractionN)r autobatchrtrain)modelimgszampbatchrW/var/www/html/django/DPS/env/lib/python3.9/site-packages/ultralytics/utils/autobatch.pycheck_train_batch_size s rr cstd}t|dd|ddt|j}|jdvrXt|d||Stjj j rzt|d||Sd }t | }tj |}|j|} tj ||} tj ||} | | | } t||d |jd | d d | d d| d d| d d gd} z$fdd| D}t||d|d}dd|D}tj| dt||dd}t| ||d|d}d|vr|d}|| |kr| t|dd}|dks|dkr|}t|d|dt||| | | }t|d|d|d | |d d!| d d"|dd#d$ |WSty|}z,t|d%|d&|d|WYd}~Sd}~00dS)'a  Automatically estimate the best YOLO batch size to use a fraction of the available CUDA memory. Args: model (torch.nn.module): YOLO model to compute batch size for. imgsz (int, optional): The image size used as input for the YOLO model. Defaults to 640. fraction (float, optional): The fraction of available CUDA memory to use. Defaults to 0.60. batch_size (int, optional): The default batch size to use if an error is detected. Defaults to 16. Returns: (int): The optimal batch size. z AutoBatch: z'Computing optimal batch size for imgsz=z at dz% CUDA memory utilization.>cpuZmpsu< ⚠️ intended for CUDA devices, using default batch-size uP ⚠️ Requires torch.backends.cudnn.benchmark=False, using default batch-size i@z (z) z.2fz G total, z G reserved, z G allocated, zG free)csg|]}t|dqS))torchempty).0brrr Gzautobatch..r)ndevicecSsg|]}|r|dqS)rr)r xrrrr#Kr$Nr)degriu?WARNING ⚠️ CUDA anomaly detected, using default batch-size .zUsing batch-size z for  zG/zG (z.0fu%) ✅uWARNING ⚠️ error detected: z, using default batch-size )rrinfonext parametersr&typerbackendsZcudnnZ benchmarkstruppercudaZget_device_propertiesZ total_memoryZmemory_reservedZmemory_allocatednamernpZpolyfitlenintindexmaxZpolyval Exceptionwarning)rrr Z batch_sizeprefixr&gbd propertiestrafZ batch_sizesZimgresultsypr!ierr"rr "sJ       <  <r )rTr )__doc__copyrnumpyr4rZultralytics.utilsrrrZultralytics.utils.torch_utilsrrrrr rrrrs