[object Object]

[object Object][object Object]undefined[object Object]

• This API is used for 3D reflection padding.

• Example:

  [object Object]

[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.

[object Object]

• 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.
  • [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]

[object Object]

• Parameter Description

  [object Object]

• Returns:

  [object Object]: status code. For details, see .

[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 5D [object Object] is an empty tensor and the value of a non-batch size dimension is 0. The 4D [object Object] cannot be an empty tensor.

[object Object]

The following example is for reference only. For details, see .