uniform_like¶

dragon.random.uniform_like(
  inputs,
  low=- 1,
  high=1,
  dtype='float32',
  **kwargs
)[source]¶

Return a tensor initialized from the uniform distribution with shape as the other.

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

Parameters:

• inputs (dragon.Tensor) – The tensor to hint the shape.
• low (number, optional, default=-1) – 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.