normal_like¶

dragon.random.normal_like(
  inputs,
  mean=0,
  std=1,
  dtype='float32',
  **kwargs
)[source]¶

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

\[\text{out} \sim \mathcal{N}(\mu, \sigma^{2}) \]

Parameters:

• inputs (dragon.Tensor) – The tensor to hint the shape.
• mean (number, optional, default=0) – The value to \(\mu\).
• std (number, optional, default=1) – The value to \(\sigma\).
• dtype (str, optional, default='float32') – The optional data type.

Returns:

dragon.Tensor – The output tensor.