megengine.module.init.xavier_uniform_#
- xavier_uniform_(tensor, gain=1.0)[source]#
Fills tensor with random values sampled from \(\mathcal{U}(-a, a)\) where
\[a = \text{gain} \times \sqrt{\frac{6}{\text{fan_in} + \text{fan_out}}}\]Also known as Glorot initialization. Detailed information can be retrieved from Understanding the difficulty of training deep feedforward neural networks - Glorot, X. & Bengio, Y. (2010).