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paddle.Tensor. exponential_ ( x: Tensor, lam: float = 1.0, name: str | None = None ) → Tensor
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This inplace OP fill input Tensor x with random number from a Exponential Distribution.

lam is \(\lambda\) parameter of Exponential Distribution.

\[f(x) = \lambda e^{-\lambda x}\]
Parameters

  • x (Tensor) – Input tensor. The data type should be float32, float64.

  • lam (float, optional) – \(\lambda\) parameter of Exponential Distribution. Default, 1.0.

  • name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.

Returns

Tensor, Input Tensor x.

Examples

>>> import paddle
>>> paddle.set_device('cpu')
>>> paddle.seed(100)

>>> x = paddle.empty([2,3])
>>> x.exponential_()
>>> 
Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[0.80643415, 0.23211166, 0.01169797],
 [0.72520679, 0.45208144, 0.30234432]])
>>>