[object Object][object Object][object Object]undefined

Note: When using this API, ensure that the driver firmware package and CANN package are in the 8.0.RC2 version or later. Otherwise, an error, such as BUS ERROR, will be reported.

[object Object]
  • API function: Integrates AllGather communication and MatMul compute.
  • Formula:output=allgather(x1)@x2+biasoutput=allgather(x1)@x2+bias gatherOut=allgather(x1)gatherOut=allgather(x1)
[object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.

[object Object]
[object Object]
[object Object]
  • Parameters

    [object Object]
  • Returns

    aclnnStatus: status code. For details, see .

    The first-phase API implements input parameter verification. The following errors may be thrown.

    [object Object]
[object Object]
  • Parameters

    [object Object]
  • Returns

    aclnnStatus status code. For details, see .

[object Object]
  • Deterministic computing:

    • [object Object] defaults to a deterministic implementation.
  • Input [object Object] is 2D (m, k). [object Object] must be 2D (k, n). The axes meet the input parameter requirements of the MatMul operator. Their k axes must be equal and fall within the range of [256, 65535).

  • [object Object] and [object Object] support empty tensor scenarios. m and n can be empty, k cannot be empty, and the following conditions must be met:

    • m is empty, k is not empty, and n is not empty.
    • If m is not empty, k is not empty, and n is empty.
    • If m is empty, k is not empty, and n is empty.
  • The output is 2D with shape (m*rank_size, n), where rank_size indicates the number of devices.

  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object]: supports two, four, or eight devices and only the all mesh networking of HCCS links.

  • [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: supports two, four, eight, sixteen, or thirty-two devices and only the double ring networking of HCCS links.

  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object]: supports only one communication domain for MC2 operators within a model.

[object Object]

The following example is for reference only. For details, see .

  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:

    [object Object]