[object Object]

[object Object][object Object]undefined[object Object]

Description: Fills the tensor with elements that are normally distributed using the [object Object] and [object Object] parameters. Random numbers are extracted from the discrete normal distribution of the given [object Object] and [object Object] (standard deviation) to fill the [object Object] tensor. [object Object] is a basic FLOAT type, containing the mean of the normal distribution related to each output element. [object Object] is a basic FLOAT type, containing the standard deviation of the normal distribution related to each output element.

[object Object]

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]

[object Object]

• Parameters:

  • [object Object] (aclTensor*, computation input/output): aclTensor on the device. The shape can be 0 to 8 dimensions. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT32, FLOAT16, BFLOAT16, 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 FLOAT32, FLOAT16, BFLOAT16, or DOUBLE.
  • [object Object] (float, computation input): floating-point type on the host, indicating the random mean value.
  • [object Object] (float, computation input): floating-point type on the host, indicating the standard deviation of the random number.
  • [object Object] (int64_t, computation input): integer on the host, indicating the seed value of the random number generator.
  • [object Object] (int64_t, computation input): integer on the host, indicating the offset of the random number.
  • [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 .

[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 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:

  [object Object]: status code. For details, see .

[object Object]

• Deterministic computing:
  • [object Object] defaults to a deterministic implementation.

[object Object]

The following example is for reference only. For details, see .