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

• Function: replaces the NaN, positive infinity, and negative infinity values in the input with the values specified by nan, posinf, and neginf, respectively.

• Formulas:

  $$\text{out}_i = \begin{cases} \text{nan} & \text{if } \text{self}_i \text{ is NaN} \\ \text{posinf} & \text{if } \text{self}_i \text{ is } +\infty \\ \text{neginf} & \text{if } \text{self}_i \text{ is } -\infty \\ \text{self}_i & \text{otherwise} \end{cases}$$

[object Object]

• [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.

  • [object Object]: An output tensor object needs to be created to store the computation result.
  • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.

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

[object Object]

• Parameter description:

  [object Object]

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Parameter description:

  [object Object]

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

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

[object Object]

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

aclnnNanToNum sample code:

aclnnInplaceNanToNum sample code: