IS there a way to turn off discriminator training?

[Suvi-dha]

No description provided.

[Suvi-dha]

I am getting this error when training to train just shape maps using your pretrained network. And I don't have labels in my training data.

`Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/tensorflow_core/python/framework/ops.py", line 638, in set_shape
c_api.TF_GraphSetTensorShape_wrapper(
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 1 in both shapes must be equal, but are 0 and 7. Shapes are [?,0] and [?,7].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 290, in
tfutil.call_func_by_name(**config.train)
File "/root/TBGAN/tfutil.py", line 234, in call_func_by_name
return import_obj(func)(*args, **kwargs)
File "/root/TBGAN/train.py", line 189, in train_progressive_gan
G_loss = tfutil.call_func_by_name(G=G_gpu, D=D_gpu, opt=G_opt, training_set=training_set, minibatch_size=minibatch_split, **config.G_loss)
File "/root/TBGAN/tfutil.py", line 234, in call_func_by_name
return import_obj(func)(*args, **kwargs)
File "/root/TBGAN/loss.py", line 30, in G_wgan_acgan
fake_images_out = G.get_output_for(latents, labels, is_training=True)
File "/root/TBGAN/tfutil.py", line 507, in get_output_for
out_expr = self._build_func(*named_inputs, **all_kwargs)
File "", line 175, in G_paper
File "/usr/local/lib/python3.8/dist-packages/tensorflow_core/python/framework/ops.py", line 645, in set_shape
raise ValueError(str(e))
ValueError: Dimension 1 in both shapes must be equal, but are 0 and 7. Shapes are [?,0] and [?,7].`

[rohit7044]

Hey @Suvi-dha !
Can you tell me how you manged to get the training dataset ready?

[Suvi-dha]

Hi @rohit7044 I have few 3D models with their textures. I converted those 3D models to shape maps and normals.

[rohit7044]

But the input says modalities. What does modalities mean ? I am so confused.
Given multi-view images as input I am trying to understand if TB-GAN can generate normal and UV map. Can you share your opinion?