uniform¶

dragon.vm.tensorflow.random.uniform(
  shape,
  minval=0,
  maxval=1,
  dtype='float32',
  seed=None,
  name=None
)[source]¶

Return a tensor initialized from the uniform distribution.

$$\text{out} \sim \mathcal{U}(\alpha, \beta)$$

Parameters:

• shape (Sequence[Union[int, dragon.Tensor]]) – The shape of the tensor.
• minval (number, optional, default=0) – The value to $\alpha$.
• maxval (number, optional, default=1) – The value to $\beta$.
• dtype (str, optional) – The optional data type.
• seed (int, optional) – The optional random seed.
• name (str, optional) – The operation name.

Returns:

dragon.Tensor – The output tensor.