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Original PixelCNN paper (https://arxiv.org/pdf/1606.05328.pdf) uses gated unit defined as tanh(a) * sigmoid(b). Same formulation of gated unit is used in the wavenet paper. Yet here you switched to gated unit defined as a*sigmoid(b) https://github.com/openai/pixel-cnn/blob/master/pixel_cnn_pp/nn.py#L286-L287. Is there a reason for this? Does it train better with this nonlinearity?
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You can view Dauphin et al 2017 work that described Gated Linear Unit
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Original PixelCNN paper (https://arxiv.org/pdf/1606.05328.pdf) uses gated unit defined as tanh(a) * sigmoid(b). Same formulation of gated unit is used in the wavenet paper. Yet here you switched to gated unit defined as a*sigmoid(b) https://github.com/openai/pixel-cnn/blob/master/pixel_cnn_pp/nn.py#L286-L287. Is there a reason for this? Does it train better with this nonlinearity?
The text was updated successfully, but these errors were encountered: