[object Object]

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

• This API is used to compute the bitwise XOR of each element in the input tensor self and the input scalar other. The input self and other must be of integer or Boolean type. For the Boolean type, the compute logic XOR is used.

• Formula:

  $$\text{out}_i = \text{self}_i \, \bigoplus\, \text{other}$$

[object Object]

[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 written in place to the input tensor's memory.

Each operator is divided into two phases (../common/two-phase-api.md). You must call aclnnBitwiseXorScalarGetWorkspaceSize or aclnnInplaceBitwiseXorScalarGetWorkspaceSize to obtain the workspace size required for computation and the executor that contains the operator workflow, and then call aclnnBitwiseXorScalar or aclnnInplaceBitwiseXorScalar to perform the computation.

[object Object]

• Parameters:

  [object Object]
  • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The BFLOAT16 data type is not supported.
  • Ascend 950PR/Ascend 950DT: The self and other data types must comply with the .

• Returns:

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameters:

  [object Object]

• Returns:

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

[object Object]

• Parameters:

  [object Object]
  • Ascend 950PR/Ascend 950DT: The data types of selfRef and other must meet the requirements of [object Object]TensorScalar type promotion relationship[object Object] and must be convertible after type promotion (see [object Object]type casting relationship[object Object]).

• Returns:

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameters:

  [object Object]

• Returns:

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

[object Object]

• Deterministic computation:
  • [object Object] and [object Object] each default to a deterministic implementation.

[object Object]

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

aclnnBitwiseXorScalar sample code:

aclnnInplaceBitwiseXorScalar sample code: