This API performs the log1p operation on 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.
Parameter description:
[object Object]- For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], self and out do not support 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]
Parameter description:
[object Object]- For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], selfRef does not support 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 deterministic implementation.
The following examples are for reference only. For details, see .