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torch.cuda.memory.max_memory_reserved#

torch.cuda.memory.max_memory_reserved(device=None)[source]#

返回给定设备上缓存分配器管理的最大 GPU 内存(以字节为单位)。

By default, this returns the peak cached memory since the beginning of this program. reset_peak_memory_stats() can be used to reset the starting point in tracking this metric. For example, these two functions can measure the peak cached memory amount of each iteration in a training loop.

参数

device (torch.device or int, optional) – selected device. Returns statistic for the current device, given by current_device(), if device is None (default).

返回类型

int

注意

有关 GPU 内存管理的更多详细信息,请参阅 内存管理