Operator function: Returns a random number tensor obtained from an independent normal distribution of the given mean (tensor) and standard deviation (float).
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): tensor for generating the mean of random number distribution, which is an aclTensor on the device. The data type can be FLOAT16, FLOAT, or DOUBLE. The shape can only contain a maximum of eight dimensions. The can be ND.[object Object](float, computation input): tensor for generating the standard deviation of random number distribution. The data type can be FLOAT.[object Object](int64_t*, computation input): seed for sampling the pseudo-random number generator. The data type is INT64.[object Object](int64_t*, computation input): offset for sampling the pseudo-random number generator. The data type is INT64.[object Object](aclTensor*, output): output tensor, which is an aclTensor on the device. The data type can be FLOAT16, FLOAT, or DOUBLE. The shape must be the same as that of[object Object], and cannot exceed 8 dimensions. The can be ND.[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): 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 .