o wiA@sjdZddlZddlZddlZddlZddlZddlZeja e Z GdddZ ddZ GdddZdS) zAn alternative to DataLoader using ZMQ. This implements MultiLoader, an alternative to DataLoader when torch is not available. Subprocesses communicate with the loader through ZMQ, provided for high performance multithreaded queueing. Nc@seZdZdZddZdS)EOFzIndicate that a data stream is finished. This class is used to signal the end of a data stream in the MultiLoader. Args: **kw: Arbitrary keyword arguments to be set as instance variables. cKs|j|dS)zInitialize the EOF instance with keyword arguments. Args: **kw: Arbitrary keyword arguments to be set as instance variables. N)__dict__update)selfkwrM/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/webdataset/multi.py__init__$sz EOF.__init__N)__name__ __module__ __qualname____doc__r rrrrrs rcCst|tjd<t|tjd<tj}|tj}|||D]}t j |t d}| |q | t t |d|dS)aRead samples from the dataset and send them over the socket. This function is run in a separate process to read data from the dataset and send it to the main process through a ZMQ socket. Args: dataset: The source dataset to read samples from. sockname (str): The name of the ZMQ socket to send data to. index (int): The index of this reader process. num_workers (int): The total number of worker processes. Returns: None WORKER NUM_WORKERS)protocol)indexN)strosenvironzmqContextinstancesocketPUSHconnectpickledumps the_protocolsendrclose)datasetsocknamer num_workersctxsocksampledatarrrreader-s     r'c@s*eZdZdZd ddZddZd d Zd S) MultiLoadera[Alternative to PyTorch DataLoader based on ZMQ. This class creates a multi-process data loader using ZMQ for inter-process communication, providing an alternative to PyTorch's DataLoader. Args: dataset: The source dataset to load data from. workers (int): Number of worker processes to spawn. Defaults to 4. verbose (bool): Whether to report progress verbosely. Defaults to False. nokill (bool): If True, don't kill old processes when restarting. Defaults to False. prefix (str): Directory prefix for the ZMQ socket. Defaults to "/tmp/_multi-". F /tmp/_multi-cCs:||_||_||_g|_d|_tj|_||_ ||_ dS)aInitialize the MultiLoader instance. Args: dataset: The source dataset to load data from. workers (int): Number of worker processes to spawn. Defaults to 4. verbose (bool): Whether to report progress verbosely. Defaults to False. nokill (bool): If True, don't kill old processes when restarting. Defaults to False. prefix (str): Directory prefix for the ZMQ socket. Defaults to "/tmp/_multi-". N) r workersverbosepidsrrrrr#nokillprefix)rr r+r,r.r/rrrr Ws   zMultiLoader.__init__cCsb|jD]}|dur qtd|||dqg|_|jdur,td|j|jd|_dS)z3Kill all worker processes and close the ZMQ socket.Nkilling?closing)r-printkilljoinrr)rpidrrrr4js       zMultiLoader.killccsR|js|d|jtt|_|jt j |_|j |j|j r,t d|jdg|j|_t|jD]}|j|j||jf}tjt|d|j|<q8t|j|jD]}|qWd}|jdt|jkr|j}t|}t|tr|j rt d|j|j|j dd|j|j<n|V|d7}|jdt|jkskdSdS) aReturn an iterator over this dataloader. This method sets up the ZMQ socket, spawns worker processes, and yields samples from the dataset. Yields: Sample: A sample from the dataset. Raises: None zipc://#N)targetargsrz# subprocess finishedr1)!r.r4r/ruuiduuid4r!r#rrPULLbindr,r3r+r-ranger mpProcessr'all_pidsrstartcountlenrecvrloads isinstancerrr5)rrr9r6rDr&r%rrr__iter__xs6         zMultiLoader.__iter__N)r)FFr*)r r r r r r4rIrrrrr(Is   r()r multiprocessingr@rrr;weakrefrHIGHEST_PROTOCOLrWeakSetrBrr'r(rrrrs