print("reset")
Resets the iterator to the beginning of the data.
if self.aug_level>0:
random.shuffle(self.seq)
self.cur = 0
def next_sample(self):
Helper function for reading in next sample.
After Change
if self.aug_level==0:
self.seq = self.oseq
else:
self.seq = []
for _ in range(self.exf):
_seq = self.oseq[:]
random.shuffle(_seq)
self.seq += _seq
print("train size after reset", len(self.seq))
self.cur = 0
def next_sample(self):
