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  • Description: Performs element-wise multiplication on tensor lists x2 and x3, multiplies the result element-wise by the tensor scalars, and then adds the result element-wise to tensor list x1.
  • Formula:x1=[x10,x11,...x1n1],x2=[x20,x21,...x2n1],x3=[x30,x31,...x3n1]scalars=[scalars0,scalars1,...scalarsn1]y=[y0,y1,...yn1]x1 = [{x1_0}, {x1_1}, ... {x1_{n-1}}], x2 = [{x2_0}, {x2_1}, ... {x2_{n-1}}], x3 = [{x3_0}, {x3_1}, ... {x3_{n-1}}]\\ scalars = [{scalars_0}, {scalars_1}, ... {scalars_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\ yi=x1i+scalarsi×x2i×x3i(i=0,1,...n1){\rm y}_i = x1_{i} + {\rm scalars}_i × x2_{i} × x3_{i} (i=0,1,...n-1)
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Each operator has calls. First, aclnnForeachAddcmulScalarListGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachAddcmulScalarList is called to perform computation.

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  • Parameters

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  • Return Value

    [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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  • Return Value

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

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

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