Comments (3)
sebastian-sz
commented on July 29, 2024
1
Currently, there are two implementations available:
- Linked in the paper from tensorflow/tpu repository.
- Independent implementation from Model Garden
The first one uses fixed padding for conv2d's and relu activation's, while the second one uses regular convs and swish. Which one would be preferred in this repository?
EDIT: Also, how should such (and any other in this repository) blocks be implemented? As a Layer subclass, a functional block, or something else?
Personally, I am in favor of functional blocks, as they work well with the rest of the ecosystem (TFMOT for example), and it's easy to access intermediate layer outputs.
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bhack
commented on July 29, 2024
It could be extrapolated/refactored from https://github.com/tensorflow/models/blob/master/official/vision/beta/MODEL_GARDEN.md#resnet-rs-models-trained-with-various-settings
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LukeWood
commented on July 29, 2024
We aren't exposing blocks as an API
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