| commit | 7e848ae81fc3a07edd79843291fba8bd3807b751 | [log] [tgz] |
|---|---|---|
| author | Rick Chao <rchao@google.com> | Mon Sep 23 14:53:03 2019 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Mon Sep 23 15:09:17 2019 -0700 |
| tree | ffb677b47457172ea71212356b8b7bbe2527bef7 | |
| parent | 370d80aa86f63c8422bd6ea548bcaf237cd52830 [diff] |
Fix the issue where `initial_epoch` for multi-worker fault tolerance purpose is assigned before it's loaded from checkpoint file. To recover from the epoch the previous training left at, Keras training loop needs two things to happen before entering the initial epoch: 1) Loading the model weights plus epoch information from the checkpoint, and 2) Update the `initial_epoch` variable within `model.fit()`. 1) has been configured to happen at `on_train_begin` of ModelCheckpoint callback, and 2) is done within `model.fit()`. During recent refactoring, 2) has been moved before 1) and thus we lost the epoch recovery, and this change swaps them back and fixes this issue. PiperOrigin-RevId: 270766502
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