- Description: Computes the bitwise AND result of each element in the input tensor and the input scalar
[object Object]. The input tensor and[object Object]must be INT or BOOL variables. When the input is of the Boolean type, the logical AND result is computed. - 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):[object Object]in the formula. It supports . Its can be ND, and the data dimension cannot exceed 8.- [object Object]Atlas training products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL, and must meet the data type deduction rules (see ) with
[object Object]. The deduced data type must be convertible (see ).
- [object Object]Atlas training products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL, and must meet the data type deduction rules (see ) with
[object Object](aclScalar*, computation input):[object Object]in the formula.- [object Object]Atlas training products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL, and must meet the data type deduction rules (see ) with
[object Object].
- [object Object]Atlas training products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT16, UINT16, INT32, INT64, INT8, UINT8, or BOOL, and must meet the data type deduction rules (see ) with
[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]