mars.tensor.random.standard_exponential#
- mars.tensor.random.standard_exponential(size=None, chunk_size=None, gpu=None, dtype=None)[source]#
Draw samples from the standard exponential distribution.
standard_exponential is identical to the exponential distribution with a scale parameter of 1.
- Parameters
size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * n * k
samples are drawn. Default is None, in which case a single value is returned.chunk_size (int or tuple of int or tuple of ints, optional) – Desired chunk size on each dimension
gpu (bool, optional) – Allocate the tensor on GPU if True, False as default
dtype (data-type, optional) – Data-type of the returned tensor.
- Returns
out – Drawn samples.
- Return type
float or Tensor
Examples
Output a 3x8000 tensor:
>>> import mars.tensor as mt >>> n = mt.random.standard_exponential((3, 8000))