| import torch as t | |
| import torch.nn as nn | |
| import numpy as np | |
| x = t.tensor(1., requires_grad=True) | |
| w = t.tensor(2., requires_grad=True) | |
| b = t.tensor(3., requires_grad=True) | |
| y = w*x+b | |
| y.backward() | |
| print(x.grad) | |
| print(w.grad) | |
| print(b.grad) |
| import torch as t | |
| import torch.nn as nn | |
| import numpy as np | |
| x = t.tensor(1., requires_grad=True) | |
| w = t.tensor(2., requires_grad=True) | |
| b = t.tensor(3., requires_grad=True) | |
| y = w*x+b | |
| y.backward() | |
| print(x.grad) | |
| print(w.grad) | |
| print(b.grad) |