Returns tensors of the same shape and type. All elements are set to 1.
Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.
[object Object][object Object]
Parameters:
[object Object](aclTensor*, computation input): aclTensor on the device. are supported. The can be ND.- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, BOOL, or DOUBLE.
- [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 FLOAT, FLOAT16, INT8, INT16, INT32, INT64, UINT8, BOOL, DOUBLE, or BFLOAT16.
[object Object](uint64_t*, output): size of the workspace required to be allocated on the device.[object Object](aclOpExecutor**, output parameter): 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 calling 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]