About implementation of MLP

[root116688]

Thanks for sharing code
I have some questions.

1. why use Conv1d to implement MLP?
2. Why Didn't use Linear to implement MLP?

3. pointMLP-pytorch/classification_ModelNet40/models/pointmlp.py

   Line 209 in 3e3d80c

   if groups > 1:

   When will it be greater than 1, and what does this parameter mean?

Thanks!

[ma-xu]

Hi Thanks for your interest.

For Q1 and Q2, they are mathmatically equal.
For Q3, we didn't use groups and the parameter should always be 1. We implement it for additional experiments.

[root116688]

Thanks a lot, Linear and Conv1d(kernel size =1)
Seems like the features value is equal,
but seems the weight and bias initial or backward is different? Or totally same?

[ma-xu]

They may be different but make almost no difference to final results.

[root116688]

Thaks for your reply!