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• Description: Gaussian error linear unit (GELU) activation function.
• Formula:$$out_{i}=GeGlu(self_{i}) = A \cdot Gelu(B)$$ $A$ indicates the first half of $self$, and $B$ indicates the second half of $self$.

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

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• Parameters:

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  • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT or FLOAT16.

• Returns:

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

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

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• Parameters:

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• Returns:

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

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• Deterministic computation:
  • aclnnGeGlu defaults to a deterministic implementation.

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