per_device_tensor_addrs

Applicability

Product

Supported (Yes/No)

Atlas 350 Accelerator Card

No

Atlas A3 training product/Atlas A3 inference product

Yes

Atlas A2 training product/Atlas A2 inference product

Yes

Atlas 200I/500 A2 inference product

No

Atlas inference product

No

Atlas training product

No

Note: For the Atlas A2 training product/Atlas A2 inference product, only the Atlas 800I A2 inference server and A200I A2 Box heterogeneous subrack are supported.

Function Description

Obtains the KV cache address.

Prototype

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@property
per_device_tensor_addrs() -> List[List[int]]

Parameters

None

Example

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...
kv_cache = kv_cache_manager.allocate_cache(cache_desc, cache_keys)
# The two-layer list structure uses the single-process multi-device design. In single-process single-device mode, the address of the first device is obtained.
print(kv_cache.per_device_tensor_addrs[0])

Returns

In normal cases, the address of the KVCache type is returned.

Constraints

None