4
95%
master: 95%

Ran 04 Jun 2020 02:30AM UTC

Files 6

Run time 0s

Badge

Embed ▾

Committed 04 Jun 2020 02:17AM UTC coverage: 27.429%. Remained the same

Job # TF_EAGER="0" TF_KERAS="0" TF_VERSION="2.2.0" KERAS_VERSION="2.3.0"

Build Type

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

Run Details

367 of 1338 relevant lines covered (27.43%)

0.27 hits per line

OverLordGoldDragon / keras-adamw / 188 / 4
95%
master: 95%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 188.4 (TF_EAGER="0" TF_KERAS="0" TF_VERSION="2.2.0" KERAS_VERSION="2.3.0")

OverLordGoldDragon / keras-adamw / 188 / 4 95% master: 95%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 188.4 (TF_EAGER="0" TF_KERAS="0" TF_VERSION="2.2.0" KERAS_VERSION="2.3.0")

OverLordGoldDragon / keras-adamw / 188 / 4
95%
master: 95%

README BADGES
x