Function: Computes the hyperbolic function and returns a new tensor according to the formula. The shape of the output tensor is identical to that of the input tensor.
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 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.
Parameters
[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 performs input parameter validation. The following errors may be returned:
[object Object]
Parameters
[object Object]- [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 performs input parameter validation. The following errors may be returned:
[object Object]
- Deterministic computation:
[object Object]and[object Object]default to a deterministic implementation.
The following example is for reference only. For details, see .
aclnnInplaceCosh Sample Code