TypeError and ValueError during training with downloaded dataset and my own dataset

Hi,

I want to try this DC_GAN code to train my own model with my own dataset.
The image size in my dataset is 256x256x3, format is *.jpg.
I use the command "python main.py --dataset mydata --is_train" and got this error message:

ValueError: Trying to share variable discriminator/d_h3_lin/Matrix, but specified shape (8192, 1) and found shape (131072, 1).

Then I conduct another experiment with the downloaded data (mnist and celebA)
I use the command
"python main.py --dataset mnist --input_height=28 --output_height=28 --c_dim=1 --is_train"
and
"python main.py --dataset celebA --input_height=108 --is_train --is_crop True"
both return me this error message:

TypeError: sigmoid_cross_entropy_with_logits() got an unexpected keyword argument 'labels'

Anyone has any idea how to solve this issue?

Thanks in advance!