3idZddlmZddlZddlmZmZddlmZddede e effd Z ddede fd Z ddede fd Zddeddfd Zgd Zy)zKThis package adds support for device memory management implemented in MTIA.)AnyN)Deviceis_initialized)_get_device_indexdevicereturncntsiStjjt |dS)aReturn a dictionary of MTIA memory allocator statistics for a given device. Args: device (torch.device, str, or int, optional) selected device. Returns statistics for the current device, given by current_device(), if device is None (default). Toptional)rtorch_C_mtia_memoryStatsrrs S/var/www/pod-logistic/pod-ai/venv/lib/python3.12/site-packages/torch/mtia/memory.py memory_statsr s,   88 % %&7&N OOcntsyt|jddjddS)aReturn the maximum memory allocated in bytes for a given device. Args: device (torch.device, str, or int, optional) selected device. Returns statistics for the current device, given by current_device(), if device is None (default). rdram peak_bytesrrgetrs rmax_memory_allocatedrs2     # #FA . 2 2< CCrcntsyt|jddjddS)a?Return the current MTIA memory occupied by tensors in bytes for a given device. Args: device (torch.device or int or str, optional): selected device. Returns statistic for the current device, given by :func:`~torch.mtia.current_device`, if :attr:`device` is ``None`` (default). rrallocated_bytesrrs rmemory_allocatedr's3     # #FA . 2 23Da HHrcntsytjjt |dy)aReset the peak memory stats for a given device. Args: device (torch.device, str, or int, optional) selected device. Returns statistics for the current device, given by current_device(), if device is None (default). NTr )rr r_mtia_resetPeakMemoryStatsrrs rreset_peak_memory_statsr4s'   HH''(9&4(PQr)rrrr)N)__doc__typingrr rr_utilsrdictstrrintrrr__all__rrr)s~S $% P P4S> P D D3 D IV Is I RF Rd R r