[object Object]

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

• This API is used to compute the bitwise AND result of each element in the input tensor and the input scalar. The input tensor and [object Object] must be INT or BOOL variables. If the input is of the BOOL type, the operator computes the result of logical AND.

• Formula:

  $$out_i = self_i \& other_i$$

[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 aclnnBitwiseAndScalarGetWorkspaceSize to obtain the workspace size required for computation and the executor that contains the operator execution process, and then call aclnnBitwiseAndScalar to perform computation.

[object Object]

• Parameters:

  [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] defaults to a deterministic implementation.

[object Object]

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