error while Building new loss funcitons...

[Kizunaaa]

when gen_iterations =7850/11850/15850..
output is below like this
i need to set gen_iterations to 7851/11581/15851 by myself ，then continue training？

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当我迭代到需要改变loss参数的时候服务就会挂掉，然后我重启的时候手动设置迭代数，再开始训练，这样没问题吧？

Model weights files have been saved to ./models.
WARNING:tensorflow:From /home/user/.local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:88: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

Model weights files are successfully loaded.
Building new loss funcitons...
gan_training = mixup_LSGAN
use_PL = True
PL_before_activ = False
use_mask_hinge_loss = True
m_mask = 0.5
lr_factor = 1.0
use_cyclic_loss = False
WARNING:tensorflow:From /home/user/.local/lib/python3.7/site-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
Complete.

[Kizunaaa]

loss_config['m_mask'] = 0. this is 0.0 or 0.2?

elif gen_iterations == (2*TOTAL_ITERS//3 - display_iters//2):
clear_output()
loss_config['use_PL'] = True
loss_config['use_mask_hinge_loss'] = False
loss_config['m_mask'] = 0.
loss_config['lr_factor'] = 0.3
reset_session(models_dir)
print("Building new loss funcitons...")
show_loss_config(loss_config)
model.build_train_functions(loss_weights=loss_weights, **loss_config)
print("Done.")