Returns the maximum GPU memory occupied by tensors in bytes for a given device.
By default, this returns the peak allocated 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 allocated memory usage of each iteration in a training loop.
device (torch.device or int, optional) – selected device. Returns statistic for the current device, given by
- Return type:
See Memory management for more details about GPU memory management.