tau-2020-pytorch-tutorial/pytorch1.py

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2020-12-09 10:12:35 +01:00
#!/usr/bin/python3
import torch
def fun(x):
return 2*x**4 - x**3 + 3.5*x + 10
x = torch.tensor(5., requires_grad=True)
learning_rate = torch.tensor(0.01)
for _ in range(100):
y = fun(x)
print(x, " => ", y)
y.backward()
with torch.no_grad():
x = x - learning_rate * x.grad
x.requires_grad_(True)