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I believe you are correct. Also, the associated paper makes a leap here in the described output of the TNet. The (first) TNet should output a 3x3, however the final specified layer has an output dimension of 256. Unfortunate bit of ambiguity.
pointnet/models/transform_nets.py
Line 83 in 539db60
You set the weights and bias to zero. Then matmul.
Hence you will always have zero updates to the TNet that is prior.
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