[object Object]

[object Object][object Object]undefined
[object Object]
  • Function: Checks whether the value of an element in selfRef is not equal to the value of other.
  • Formula:
outi=(selfiother)?[1]:[0]out_i​=(self_i \ne other)?[1]:[0] selfRefi=(selfRefiother)?[1]:[0]selfRef_i​=(selfRef_i \ne other)?[1]:[0] [object Object]
  • [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.
    • [object Object]: An output tensor object needs to be created to store the computation result.
    • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.
  • Each operator has calls. First, [object Object] or [object Object] is called to obtain input parameters and compute the required workspace size based on the computation process. Then, [object Object] or [object Object] is called to perform computation.
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
  • Parameter description:

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

      • self and other do not support UINT64.
      • out does not support UINT64, UINT32, or UINT16.
    • [object Object]Atlas training products[object Object]:

      • self and other do not support BFLOAT16 or UINT64.
      • out does not support BFLOAT16, UINT64, UINT32, or UINT16.
  • Returns:

    [object Object]: 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:

    [object Object]: status code. For details, see .

[object Object]
  • Parameters:

    [object Object]
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: UINT64 is not supported.

    • [object Object]Atlas training products[object Object]: BFLOAT16 and UINT64 are not supported.

  • Returns:

    [object Object]: 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:

    [object Object]: status code. For details, see .

[object Object]
  • Deterministic computing:
    • [object Object] defaults to a deterministic implementation.
[object Object]

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

The following is an example of calling the aclnnNeScalar&aclnnInplaceNeScalar API:

[object Object]