mindspore.ops.UniformReal

class mindspore.ops.UniformReal(seed=0, seed2=0)[source]

Produces random floating-point values, uniformly distributed to the interval [0, 1).

Parameters

  • seed (int) – The operator-level random seed, used to generate random numbers, must be non-negative. Default: 0.

  • seed2 (int) – The global random seed and it will combile with the operator-level random seed to determine the final generated random number, must be non-negative. Default: 0.

Note

  • Global random seed and operator-level random seed are not set: Use a randomly generated seed.

  • Global random seed is set, but operator-level random seed is not set: A global random seed will splice with a randomly generated seed.

  • Global random seed is not set, operator-level random seed is set: The default global random seed is used, and splices with the operator-level random seed.

  • Both Global random and operator-level random seed are set: The global random seed will splice with the operator-level random seed.

Inputs:

  • shape (Union[tuple, Tensor]) - The shape of tensor to be generated. Only constant value is allowed.

Outputs:

Tensor. The shape that the input ‘shape’ denotes. The dtype is float32.

Raises

  • TypeError – If seed or seed2 is not an int.

  • TypeError – If shape is neither a tuple nor a Tensor.

  • ValueError – If shape is not a constant value.

Supported Platforms:

Ascend GPU CPU

Examples

>>> shape = (2, 2)
>>> uniformreal = ops.UniformReal(seed=2)
>>> output = uniformreal(shape)
>>> result = output.shape
>>> print(result)
(2, 2)