Function: performs the inverse hyperbolic cosine operation on each element in the input tensor and outputs the result.
Formula:
[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 aclnnAcoshGetWorkspaceSize or aclnnInplaceAcoshGetWorkspaceSize to obtain the workspace size required for computation and the executor that contains the operator computation process, and then call aclnnAcosh or aclnnInplaceAcosh to perform computation.
[object Object]
[object Object]
[object Object]
[object Object]
Parameter description:
[object Object]- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:
- The self data type also supports INT8, INT16, INT32, INT64, UINT8, BOOL, COMPLEX64, COMPLEX128, and BFLOAT16.
- The out data type also supports COMPLEX64, COMPLEX128, and BFLOAT16.
- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:
Returns
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown:
[object Object]
Parameter description:
[object Object]- For the [object Object]Atlas A3 training products/Atlas A3 inference products[object Object], the selfRef data type also supports COMPLEX64, COMPLEX128, and 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]
- Deterministic computation:
[object Object]and[object Object]each default to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]