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| author | AngelBottomless <35677394+aria1th@users.noreply.github.com> | 2023-01-16 02:08:47 +0900 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-01-16 02:08:47 +0900 |
| commit | 16f410893eb96c7810cbbd812541ba35e0e92524 (patch) | |
| tree | db59561138d5b56176a4d346915445a24bef3410 /modules/hypernetworks | |
| parent | ce13ced5dc5ce06634b3313bbfed6d479f8a4538 (diff) | |
fix missing 'mean loss' for tensorboard integration
Diffstat (limited to 'modules/hypernetworks')
| -rw-r--r-- | modules/hypernetworks/hypernetwork.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index ae6af516..bbd1f673 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -644,7 +644,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi if shared.opts.training_enable_tensorboard:
epoch_num = hypernetwork.step // len(ds)
epoch_step = hypernetwork.step - (epoch_num * len(ds)) + 1
-
+ mean_loss = sum(sum(x) for x in loss_dict.values()) / sum(len(x) for x in loss_dict.values())
textual_inversion.tensorboard_add(tensorboard_writer, loss=mean_loss, global_step=hypernetwork.step, step=epoch_step, learn_rate=scheduler.learn_rate, epoch_num=epoch_num)
textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, steps_per_epoch, {
|