about the yield in data_loader.py

[zyfsa]

hi， I want to know why when the get the train data, their are two generator.

def train_generator_func():
while True:
X = train_generator1.next()
print X.shape
Y1 = train_generator2.next()
yield X, [Y1, np.zeros(shape=(Y1.shape[0], img_rows - 4, img_cols - 4)),
np.zeros(shape=(Y1.shape[0], img_rows - 4, img_cols - 4))]

please， can I discard the Y1 ?
and just use the X? thank you very much.

[Asherkab]

I have a related issue.
On the very last walkthrough section, I get:

generator' object has no attribute 'next'.

[tv12345]

using -- dat = next(data_generator)
instead of -- dat = data_generator.next()

works !! Python3 issue