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# Owner(s): ["module: unknown"]
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.linear = nn.Linear(20, 20)
def forward(self, input):
out = self.linear(input[:, 10:30])
return out.sum()
def main():
data = torch.randn(10, 50).cuda()
model = Model().cuda()
optimizer = torch.optim.SGD(model.parameters(), lr=0.0001)
for i in range(10):
optimizer.zero_grad()
loss = model(data)
loss.backward()
optimizer.step()
if __name__ == '__main__':
main()
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