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()
, ifdevice
isNone
(default).- 返回类型
注意
有关 GPU 内存管理的更多详细信息,请参阅 内存管理。