[object Object]

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

• Description: Implements the AddLayerNorm function.
• Formula:$$x = x1 + x2 + biasOptional$$ $$rstd = {{1}\over\sqrt {Var(x)+epsilon}}$$ $$y = (x-E(x)) * rstd * gamma + beta$$ Where, E(x) indicates the mean value and Var(x) indicates the variance. Both the mean value and variance must be calculated within the operator.

[object Object]

Each operator has calls. First, [object Object] is called to obtain the input parameters and compute the required workspace size based on the process. Then, [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]
  • [object Object]Atlas inference products[object Object]:
    • The data types of the [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], and [object Object] parameters cannot be BFLOAT16.
    • The [object Object] and [object Object] parameters are invalid in the current product.

• 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]

• Function dimension

  • The supported data types are as follows:
    • [object Object]Atlas inference products[object Object]: x1, x2, beta, gamma, and biasOptional support FLOAT32 and FLOAT16.
    • [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]: x1, x2, beta, gamma, and biasOptional support FLOAT32, FLOAT16, and BFLOAT16.
    • rstdOut and meanOut support FLOAT32.
  • The data format can be ND.
  • [object Object]Atlas inference products[object Object]: The length of the last axis of the inputs x1, x2, beta, gamma, and biasOptional must be greater than or equal to 32 bytes.

• Description of unsupported types

  • DOUBLE: DOUBLE is not supported.

• Description of boundary value scenarios

  • When the input is Inf, the output is Inf.
  • When the input is NaN, the output is NaN.

• Description of data types supported by different products

  • [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]:

    [object Object]undefined

  • [object Object]Atlas inference products[object Object]:

    [object Object]undefined

• Deterministic compute:

  • aclnnAddLayerNorm defaults to a deterministic implementation.

[object Object]

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