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  • Description: Performs exponential operation on each tensor in the input tensor list and subtracts 1 from the result.
  • Formula:x=[x0,x1,...xn1]y=[y0,y1,...yn1]x = [{x_0}, {x_1}, ... {x_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\ yi=exi1(i=0,1,...n1){y_i}=e^{x_i}-1 (i=0,1,...n-1)
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Each operator has calls. First, aclnnForeachExpm1GetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachExpm1 is called to perform computation.

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  • Parameters

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  • Returns

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

    The first-phase API implements input parameter validation. The following error codes may be returned.

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  • Parameters

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  • Returns

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

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  • Deterministic computation:
    • aclnnForeachExpm1 defaults to a deterministic implementation.
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The following example is for reference only. For details, see .

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