Implementation of Inception v_3

Hello everyone,
I struggle to understand the details of the Inception_v3 implementation in PyTorch. It seems to me that there are some differences between the documentation and the actual implementation. Could someone confirm that there are differences ? If so, is there somewhere a schema to help understand what happens under the hood ?

I attached the table you can find on Inception_v3 | PyTorch as well as in the original paper. The implementation I consider is here: vision/ at master · pytorch/vision · GitHub

For example I don’t see any equivalence of the layer ‘self.Conv2d_3b_1x1’ in the table.


Have a look at this post, which answers a similar question.