Hi,
You can use torch.utils.data.random_split
:
import torch
from torch.utils.data import random_split
data = torch.arange(0, 1000*94).reshape((1000, 1, 94))
train, test= random_split(data, [int(len(data)*0.9), int(len(data)*0.1)])
print(len(train)) # 900
print(len(test)) # 100
Bests