# tensorplay.accelerator.memory

Source: https://www.tensorplay.cn/docs/generated/tensorplay.accelerator.memory.html

Device-agnostic memory queries for the current accelerator.

Every function below targets the active accelerator backend (the GPU
backend in this build) and accepts a device object, a spelling such
as "cuda:1", an integer index, or None for the current device.

Functions

| empty_cache() |Release unoccupied cached device memory held by the allocator. |
| --- | --- |
| empty_host_cache() | Release unoccupied cached host memory. |
| get_memory_info([device]) | Free and total device memory in bytes for the given device. |
| max_memory_allocated([device]) | Peak bytes occupied by live tensors on the given device. |
| max_memory_reserved([device]) | Peak bytes managed by the allocator on the given device. |
| memory_allocated([device]) | Bytes currently occupied by live tensors on the given device. |
| memory_reserved([device]) | Bytes currently managed by the allocator on the given device. |
| memory_stats([device]) | Allocator statistics for the given device. |
| reset_accumulated_memory_stats([device]) | Reset historical accumulation counters on the given device. |
| reset_peak_memory_stats([device]) | Reset peak counters on the given device. |