Bugfix for the gating mechanism + update imports #1
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The gate was initialized as x*tanh(x) due to a typo. This should have been sigm(x)*tanh(x). My commit also includes missing imports.
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I came across a typo in the implementation of wavenet and stochastic wavenet gating mechanism. Originally wavenet uses a GTU:
tanh(x)*sigm(x), however in the code the gating isx*tanh(x). Haven't tested it but likely this explains some of the instability encountered during training.A bugfix and fixes of missing imports (+updated pytorch definitions) are in this pull request. Either way, cool work.