[object Object]

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

• Function: performs the inverse hyperbolic sine operation on each element in the input tensor and outputs the result.

• Formula:

$$out_{i}=ln(input_{i} + \sqrt{input_{i}^2 + 1})$$ [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 written in place to the input tensor's memory.
• Each operator is divided into two phases (../common/Two-Phase Interface.md). You must call aclnnAsinhGetWorkspaceSize or aclnnInplaceAsinhGetWorkspaceSize to obtain the input parameters, calculate the required workspace size based on the computation process, and then call aclnnAsinh or aclnnInplaceAsinh to perform the computation.

[object Object]

• Parameter description:

  [object Object]
  • [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The input and output data types also support BFLOAT16, COMPLEX64, and COMPLEX128.

• 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]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Parameter description:

  [object Object]
  • [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The inputRef data type also supports BFLOAT16, COMPLEX64, and COMPLEX128.

• 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]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:
  • [object Object] and [object Object] each default to a deterministic implementation.

[object Object]

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