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Fix merge conflicts

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This commit is contained in:
Muhammad Rizqi Nur 2022-10-31 13:53:22 +07:00
parent 840307f237
commit 4123be632a
1 changed files with 6 additions and 11 deletions
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17
modules/hypernetworks/hypernetwork.py
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@ -373,6 +373,12 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
clip_grad_mode_value = clip_grad_mode == "value"
clip_grad_mode_norm = clip_grad_mode == "norm"
clip_grad_enabled = clip_grad_mode_value or clip_grad_mode_norm
if clip_grad_enabled:
clip_grad_sched = LearnRateScheduler(clip_grad_value, steps, ititial_step, verbose=False)
# dataset loading may take a while, so input validations and early returns should be done before this
shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
with torch.autocast("cuda"):
@ -389,21 +395,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
previous_mean_loss = 0
print("Mean loss of {} elements".format(size))
last_saved_file = "<none>"
last_saved_image = "<none>"
forced_filename = "<none>"
ititial_step = hypernetwork.step or 0
if ititial_step > steps:
return hypernetwork, filename
clip_grad_mode_value = clip_grad_mode == "value"
clip_grad_mode_norm = clip_grad_mode == "norm"
clip_grad_enabled = clip_grad_mode_value or clip_grad_mode_norm
if clip_grad_enabled:
clip_grad_sched = LearnRateScheduler(clip_grad_value, steps, ititial_step, verbose=False)
scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
weights = hypernetwork.weights()
for weight in weights: