Description: Obtains the real number part of each element of the input tensor.
Formula:
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 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, COMPLEX64, COMPLEX32, or COMPLEX128.
- [object Object]Atlas training products[object Object]: The data type can be COMPLEX64 or COMPLEX128.
[object Object](aclTensor*, computation output): aclTensor on the device. For the input and output relationship, see Table 1. are supported. The can be ND.- [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, or DOUBLE.
- [object Object]Atlas training products[object Object]: The data type can be FLOAT or DOUBLE.
[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:
Parameters:
[object Object](void *, input): memory 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 computation:
[object Object]defaults to a deterministic implementation.
Table 1 Mappings between input and output data types
The following example is for reference only. For details, see .