[object Object]

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

• Function: Returns the variance of the input tensor in the specified dimension.
• Calculation formula: If [object Object] is [object Object], the dimension is calculated. [object Object] is the shape. [object Object] is used to compute the average value [object Object] in the dimension.$$out = \frac{1}{max(0, N - \delta N)}\sum_{j=0}^{N-1}(self_{ij}-\bar{x_{i}})^2$$ When [object Object], the unbiased estimation is added, and $\delta N = 1$. When [object Object], the unbiased estimation is not added, and $\delta N = 0$. If [object Object], the dimension is retained after reduction, and the value of the dimension in the output shape is 1. If [object Object], the dimension is not retained. When [object Object] is [object Object] or [object Object], all dimensions are calculated.

[object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]
  • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type cannot be BFLOAT16.

• 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 computing:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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