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Complete implementation of Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks article

Python 100.00%
weight-normalization deep-learning pytorch

weight-normalization's Issues

Initialization of g and b is not done properly

Looking at the code for the initialization for the g and b parameter,
it seems like the actual assignment operation is never called.

The assignment operations are created, but never executed:

Weight-Normalization/nn.py

Lines 143 to 144 in f493976

g = g.assign(scale_init)
b = b.assign(-m_init * scale_init)

(see also: https://stackoverflow.com/a/34220750/9562563 if the behaviour of tf.assign is unclear)

This seems to be the case for both the dense and conv2d layer.

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