Function: Reflects the input tensor using the input boundary.
Example:
[object Object]
Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.
Parameter Description
[object Object]- For [object Object]Atlas A3 training products/Atlas A3 inference products[object Object] and [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], the data type cannot be UINT16, UINT32, UINT64, HIFLOAT8, FLOAT8_E5M2, FLOAT8_E4M3FN or FLOAT8_E8M0.
- For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], the data type cannot be BFLOAT16, UINT16, UINT32, UINT64, COMPLEX64, COMPLEX128, HIFLOAT8, FLOAT8_E5M2, FLOAT8_E4M3FN or FLOAT8_E8M0.
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]defaults to a deterministic implementation.
If the computation load is too large, the operator execution may time out (AI Core error, errorStr: timeout or trap error). This occurs when the last two axes combined are less than 16 and the first axes combined are too large.
The following example is for reference only. For details, see .