training error

[sigmoidx]

Hi, I have two errors during training.

1. error on G_loss.
--------------- Epoch 1 ---------------
0it [00:00, ?it/s]
Traceback (most recent call last):
File "new_pix2pix.py", line 255, in
train(200,12)
File "new_pix2pix.py", line 242, in train
G_loss.append(gloss)
UnboundLocalError: local variable 'gloss' referenced before assignment

So, I commented out G_loss and D_loss. And now it returns an another error
#G_loss.append(gloss)
#D_loss.append(dloss)
...
#D_loss = np.array(D_loss)
#G_loss = np.array(G_loss)
#np.save('Model_para/dloss.npy',D_loss)
#np.save('Model_para/gloss.npy',G_loss)

2. error on dimensions

--------------- Epoch 1 ---------------
0it [00:00, ?it/s]
Traceback (most recent call last):
File "new_pix2pix.py", line 255, in
train(200,12)
File "new_pix2pix.py", line 245, in train
generate_pic(generator,target[0:1],e)
File "new_pix2pix.py", line 187, in generate_pic
pic = generator.predict(target)
File "/home/marsha/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1576, in predict
check_batch_axis=False)
File "/home/marsha/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 127, in _standardize_input_data
str(array.shape))
ValueError: Error when checking : expected input_1 to have 4 dimensions, but got array with shape (0, 1)

[ray0809]

Hi,it seems that the data.npy has null.
Did you run the data.py before,if you have done,would you reload the npy file and check the format in it