torch.accelerator.memory.memory_stats#

torch.accelerator.memory.memory_stats(device_index=None, /)[source]#

Return a dictionary of accelerator device memory allocator statistics for a given device index.

The return value of this function is a dictionary of statistics, each of which is a non-negative integer.

Core statistics:

"allocated.{all,large_pool,small_pool}.{current,peak,allocated,freed}": number of allocation requests received by the memory allocator.
"allocated_bytes.{all,large_pool,small_pool}.{current,peak,allocated,freed}": amount of allocated memory.
"segment.{all,large_pool,small_pool}.{current,peak,allocated,freed}": number of reserved segments from device memory allocation.
"reserved_bytes.{all,large_pool,small_pool}.{current,peak,allocated,freed}": amount of reserved memory.
"active.{all,large_pool,small_pool}.{current,peak,allocated,freed}": number of active memory blocks.
"active_bytes.{all,large_pool,small_pool}.{current,peak,allocated,freed}": amount of active memory.
"inactive_split.{all,large_pool,small_pool}.{current,peak,allocated,freed}": number of inactive, non-releasable memory blocks.
"inactive_split_bytes.{all,large_pool,small_pool}.{current,peak,allocated,freed}": amount of inactive, non-releasable memory.

For these core statistics, values are broken down as follows.

Pool type:

all: combined statistics across all memory pools.
large_pool: statistics for the large allocation pool (as of June 2025, for size >= 1MB allocations).
small_pool: statistics for the small allocation pool (as of June 2025, for size < 1MB allocations).

Metric type:

In addition to the core statistics, we also provide some simple event counters:

"num_alloc_retries": number of failed device memory allocation calls that result in a cache flush and retry.
"num_ooms": number of out-of-memory errors thrown.
"num_sync_all_streams": number of synchronize_and_free_events calls.
"num_device_alloc": number of device memory allocation calls.
"num_device_free": number of device memory free calls.

Parameters: device_index (torch.device, str, int, optional) – the index of the device to target. If not given, use torch.accelerator.current_device_index() by default. If a torch.device or str is provided, its type must match the current accelerator device type.
Return type: OrderedDict[str, Any]

Docs