Description: Performs division.
Formula:
Note: In complex-number operations, if the modulus of the denominator is 0, the general complex-number formula is used without special processing. The behavior is different from that of the CPU/GPU.
[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]:
- [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:
- Ascend 950PR/Ascend 950DT:
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]
Parameters
[object Object]- [object Object]Atlas training products[object Object]:
- [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:
- Ascend 950PR/Ascend 950DT:
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]and[object Object]default to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]