Fixing minor issues from #969 #2163
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added comments explaining tests
* redesigned methodology to use multiple optimizers (one per unique LR) and pass grads to these multiple optimizers. Should allow for complex optimizers to behave properly * adjusted behavior of resource apply to only return the op if the lr_mult matches the lr_mult of the optimizer should only return 1 op for each var. * updated init file changed training config * removed variable position and added some more comments * removed grouped variables as unnecessary
explicitly defined serialization as not supported
guessing that build file needs to be in alpha order?
# Conflicts: # tensorflow_addons/optimizers/README.md
update to master
…rapper class. Removed old tests and added new tests conforming to pytest standard.
… for only the serialization
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let's try this again. I think I did the pr wrong |
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Fixing minor issues from #969.