Rounds the elements of the input tensor to the specified number of decimal places.
[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.[object Object][object Object][object Object][object Object]
Parameters:
[object Object]- [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.
Returns
[object Object]: status code. For details, see .The first-phase API implements input parameter validation. The following error codes may be returned.
[object Object]
Deterministic computation:
[object Object]defaults to a deterministic implementation.
When decimals is not 0: If the input data exceeds the range of (–347000, 347000), the precision may be affected.
Parameters:
[object Object]- For [object Object]Atlas training products[object Object], the
[object Object]does not support BFLOAT16.
- For [object Object]Atlas training products[object Object], the
Returns
[object Object]: status code. For details, see .The first-phase API implements input parameter validation. The following error codes may be returned.
[object Object]
If decimals is not 0, the input data exceeding the range of (-347000, 347000) may affect the precision.
The following example is for reference only. For details, see .