Function: performs the logical AND operation on the elements of the given input tensors. The value
[object Object]is considered as[object Object], and other values are considered as[object Object].Formulas:
[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 stored in the memory of the input tensor.
Each operator has calls. First,
[object Object]or[object Object]is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then,[object Object]or[object Object]is called to perform computation.
Parameters:
[object Object]- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.
Returns:
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown.
[object Object]
Parameters:
[object Object]- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.
Returns:
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown.
[object Object]
- Deterministic computation:
[object Object]and[object Object]default to deterministic implementation.
The following examples are for reference only. For details, see .
Sample code of aclnnLogicalAnd:
Sample code of aclnnInplaceLogicalAnd: