mars.tensor.random.rand#

mars.tensor.random.rand(*dn, **kw)[source]#

Random values in a given shape.

Create a tensor of the given shape and populate it with random samples from a uniform distributionc over [0, 1).

Parameters

  • d0 (int, optional) – The dimensions of the returned tensor, should all be positive. If no argument is given a single Python float is returned.

  • d1 (int, optional) – The dimensions of the returned tensor, should all be positive. If no argument is given a single Python float is returned.

  • ... (int, optional) – The dimensions of the returned tensor, should all be positive. If no argument is given a single Python float is returned.

  • dn (int, optional) – The dimensions of the returned tensor, should all be positive. If no argument is given a single Python float is returned.

Returns

out – Random values.

Return type

Tensor, shape (d0, d1, ..., dn)

See also

random

Notes

This is a convenience function. If you want an interface that takes a shape-tuple as the first argument, refer to mt.random.random_sample .

Examples

>>> import mars.tensor as mt

>>> mt.random.rand(3, 2).execute()
array([[ 0.14022471,  0.96360618],  #random
       [ 0.37601032,  0.25528411],  #random
       [ 0.49313049,  0.94909878]]) #random