- Description: Performs the logical AND operation when the input is a Boolean tensor; performs bitwise AND operation when the input is of the INT type.
- Formula:
Each operator consists of . You must first call the [object Object] API to obtain the required workspace size and the executor that contains the operator computation flow, and then call the [object Object] API to execute the computation.
[object Object][object Object]
Parameters:
[object Object](aclTensor*, computation input | computation output): input and output tensors,[object Object]in the formula. The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL. The data type must meet the type deduction rules (for details, see ) with[object Object]. The shape must meet the with[object Object]. are supported. The can be ND. The number of data dimensions cannot exceed 8.[object Object](aclTensor*, computation input): input tensor,[object Object]in the formula. The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL. The data type must meet the type deduction rules (for details, see ) with selfRef. The shape must meet the with[object Object]. are supported. The can be ND. The number of data dimensions cannot exceed 8.[object Object](uint64_t*, output): size of the workspace to be allocated on the device.[object Object](aclOpExecutor*, output): operator executor, containing the operator computation process.
Returns:
[object Object]
Parameters:
[object Object](void*, input): address of the workspace to be allocated on the device.[object Object](uint64_t, input): size of the workspace to be allocated on the device, which is obtained by the first-phase API[object Object].[object Object](aclOpExecutor*, input): operator executor, containing the operator computation process.[object Object](aclrtStream, input): stream for executing the task.
Returns:
- Deterministic computing:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]