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Ran 04 Jun 2020 02:24AM UTC

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Committed 04 Jun 2020 02:17AM UTC coverage: 26.383%. Remained the same

Job # TF_EAGER="0" TF_KERAS="0" TF_VERSION="1.14.0" KERAS_VERSION="2.2.5"

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push

travis-ci-com

Committed by

OverLordGoldDragon

Commit Message

Synchronize updates; fix AdamW lr_t (keras)

**BUGFIXES**:
 - Last weight in network would be updated with `t_cur` one update ahead, desynchronizing it from all other weights
 - `AdamW` in `keras` (optimizers.py, optimizers_225.py) weight updates were _not_ mediated by `eta_t`, so cosine annealing had no effect. Pardon the mishap

**FEATURES**:
 - Added `lr_t` to tf.keras optimizers to track "actual" learning rate externally; use `K.eval(model.optimizer.lr_t)` to get "actual" learning rate for given `t_cur` and `iterations`
 - Added `lr_t` vs. iterations plot to README, and source code in `example.py`

**MISC**:
 - Added `test_updates` to ensure all weights update synchronously, and that `eta_t` first applies on weights as-is and _then_ updates according to `t_cur`
 - Fixes #47

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