normal_like¶

dragon.random.normal_like(
  other,
  mean=0,
  std=1,
  dtype='float32',
  **kwargs
)¶

Return a tensor shaping like another initialized from the normal distribution.

The RandomNormal distribution is defined as:

\[X \sim N(\mu, \sigma) \]

Parameters:

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

Returns:

dragon.Tensor – The output tensor.