[object Object]

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

• This API is used to calculate the standard deviation of a specified dimension (dim). The dimension can be a single dimension, a dimension list, or None.
• Formula: If [object Object] is $i$, the dimension is computed. $N$ is the shape. $self_{i}$ is used to compute the average value $\bar{x_{i}}$ in the dimension.$$out = \sqrt{\frac{1}{max(0, N - \delta N)}\sum_{j=0}^{N-1}(self_{ij}-\bar{x_{i}})^2}$$ When [object Object], the dimension is retained after reduction, and the dimension value in the output shape is 1. When [object Object], the dimension is not retained.

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

[object Object]

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