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• Description: Subtracts elements in two tensor lists one by one and adjusts the subtraction coefficient using the alpha parameter. Compared with , the input parameter alpha of this API is changed from aclTensor to aclScalar. You should select a proper API based on the actual situation.
• Formula:$$x1 = [{x1_0}, {x1_1}, ... {x1_{n-1}}]\\ x2 = [{x2_0}, {x2_1}, ... {x2_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\$$ $$y_i = x1_i-{x2_i}*alpha (i=0,1,...n-1)$$

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Each operator has calls. First, aclnnForeachSubListV2GetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachSubListV2 is called to perform computation.

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• Parameters:

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• Returns:

  aclnnStatus: 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:

  aclnnStatus: status code. For details, see .

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• Deterministic computation:
  • aclnnForeachSubListV2 defaults to a deterministic implementation.

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