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import torch
import torch.nn as nn
import torch.nn.functional as F
class simple_sd_model (nn.Module):
def __init__(self):
super(simple_sd_model, self).__init__()
self.fc1 = nn.Linear (1,1)
self.fc2 = nn.Linear (1,6)
self.fc3 = nn.Linear (6,7)
self.fc4 = nn.Linear (7,4)
def forward(self, x):
x = F.relu (self.fc1(x))
x = F.relu (self.fc2(x))
x = self.fc3(x)
x = self.fc4(x)
return x
model = simple_sd_model()
input_data = torch.rand (10, 1, requires_grad= True)
output_data = model(input_data)
print (output_data)
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