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.