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  • Description: Performs backpropagation of and computes the SwiGlu reverse gradient of x.

  • Formula:

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

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  • Parameters:

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    • [object Object]Atlas inference products[object Object]: The data type can be FLOAT16 or FLOAT32.
  • 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 compute:
    • aclnnSwiGluGrad defaults to a deterministic implementation.
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The following example is for reference only. For details, see .

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