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  • Description: Performs element-wise base-2 logarithm operation on the input tensor list.
  • 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=log2(xi)(i=0,1,...n1){\rm y}_i = {\rm log}_2(x_i) (i=0,1,...n-1)
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Each operator has calls. First, aclnnForeachLog2GetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachLog2 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 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:
    • aclnnForeachLog2 defaults to a deterministic implementation.
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The following example is for reference only. For details, see .

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