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

• Description: Generates random numbers that follow an exponential distribution with the parameter [object Object] and fills the random numbers in the selfRef tensor.
• Formula:$$f(x) = -\frac{1}{\lambda} \ln(1 - u), u \sim \text{Uniform}(0, 1]$$

[object Object]

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]

• Parameters

  [object Object]

• Return Value

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

  The first-phase API implements input parameter verification. The following errors may be thrown:

  [object Object][object Object]

[object Object]

• ​Parameters:

  [object Object]

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

[object Object]

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

[object Object]

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