uniform¶

dragon.random.uniform(
  shape,
  low=0,
  high=1,
  dtype='float32',
  **kwargs
)[source]¶

Return a tensor initialized from the uniform distribution.

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

Parameters:

• shape (Sequence[Union[int, dragon.Tensor]]) – The tensor shape.
• low (number, optional, default=0) – The value to \(\alpha\).
• high (number, optional, default=1) – The value to \(\beta\).
• dtype (str, optional, default='float32') – The optional data type.

Returns:

dragon.Tensor – The output tensor.