glorot_normal¶
dragon.random.
glorot_normal
(
shape,
scale=2.0,
mode='fan_in',
dtype='float32',
**kwargs
)[source]¶Return a tensor initialized from the glorot normal distribution.
\[\text{out} \sim \mathcal{N}(0, \frac{scale}{\text{fan}}) \]- Parameters:
- shape (Sequence[Union[int, dragon.Tensor]]) – The tensor shape.
- mode ({'fan_in', 'fan_out', 'fan_avg'}, optional) – The mode to compute fans.
- scale (float, optional, default=2.0) – The scale factor to distribution.
- dtype (str, optional, default='float32') – The optional data type.
- Returns:
dragon.Tensor – The output tensor.