torch. utils. data. Randomsampler and torch utils. data. Differences between sequentialsampler

sampler_train = torch.utils.data.RandomSampler(torch.arange(10))
for i in sampler_train:
    print(i)
print('=================')
for k in sampler_train:
    print(k)
print('--------------')
sampler_val = torch.utils.data.SequentialSampler(torch.arange(10))
for j in sampler_val:
    print(j)
print('=================')
for l in sampler_val:
    print(l)
#  It can be seen from the results RandomSampler Random sampling is used , Output per call 
#  In different order . and SequentialSampler Sequential sampling , The result is the same every time 

Output results ：

3
0
1
6
4
5
9
7
8
2
=================
5
9
6
0
3
4
1
7
8
2
--------------
0
1
2
3
4
5
6
7
8
9
=================
0
1
2
3
4
5
6
7
8
9