[object Object]

[object Object][object Object]undefined[object Object]

• Description: Performs the square root operation on each tensor in the input tensor list.
• Formula:$$x = [{x_0}, {x_1}, ... {x_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\$$ $$y_i =\sqrt{x_i} (i=0,1,...n-1)$$

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

[object Object]

• Parameters

  [object Object]
  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The shape size of the input parameter [object Object] is less than or equal to that of the output parameter [object Object].
  • Ascend 950PR/Ascend 950DT: The shape size of the input parameter [object Object] is the same as that of the output parameter [object Object]. Both the input parameter [object Object] and the output parameter [object Object] support a maximum of 50 tensors.

• Returns

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

  The first-phase API implements input parameter verification. The following errors may be thrown.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

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

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