Description: Computes the result of
[object Object].Formula:
Each operator has calls. First, [object Object] is called to obtain the input parameters and compute the required workspace size based on the process. Then, [object Object] is called to perform computation.
[object Object][object Object]
Parameters
[object Object](aclScalar*, compute input): input[object Object]in the formula,[object Object]on the host. The data type must meet the with[object Object]. are supported. The can be ND.- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, or BFLOAT16.
[object Object](aclTensor*, compute input): input[object Object]in the formula, aclTensor on the device. The data type must meet the with[object Object]. are supported. The can be ND.- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, or BFLOAT16.
[object Object](aclTensor*, compute output):[object Object]in the formula,[object Object]on the device. The shape of[object Object]is the same as that of[object Object]. are supported. The can be ND.- [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, or BFLOAT16.
[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]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown:
[object Object]
- Deterministic computing:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]