Function: performs the arccosine operation on each element of the input matrix 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 aclnnAcosGetWorkspaceSize or aclnnInplaceAcosGetWorkspaceSize to obtain the workspace size required for computation and the executor that contains the operator computation process, and then call aclnnAcos or aclnnInplaceAcos to perform the computation.
[object Object]
[object Object]
[object Object]
[object Object]
Parameters:
[object Object]- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The input and output data types also support 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]
Parameters:
[object Object]- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The inputRef data type also supports 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]