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• Description: Computes the norm of each tensor in the input tensor list.
• Formula:
  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training series products/Atlas A3 inference series products[object Object]:$$x = [{x_0}, {x_1}, ... {x_{n-1}}]\\$$ $$y = \left(\sum_{i=0}^{n-1}|x_i|^{p}\right)^{\frac{1}{{p}}} (i=0,1,...n-1)$$

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Each operator has calls. First, aclnnForeachNormGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachNorm 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:
  • aclnnForeachNorm defaults to a deterministic implementation.

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