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