Hi, I’m new to PyTorch. Please Help. I did a basic linear regression. Here’s my code.
weight = 0.7
bias = 0.3
start = 0
end = 1
step = 0.02
X = torch.arange(start, end, step).unsqueeze(dim=1)
y = weight * X + bias
train_split = int(0.8 * len(X))
X_train, y_train = X[:train_split], y[:train_split]
X_test, y_test = X[train_split:], y[train_split:]
class LinearRegressionModel(nn.Module):
def init(self):
super().init()
self.weights = nn.Parameter(torch.randn(1,
requires_grad = True,
dtype = torch.float))
self.bias = nn.Parameter(torch.randn(1,
requires_grad = True,
dtype = torch.float))
def forward(self, x: torch.Tensor) -> torch.Tensor:
return self.weights * x + self.bias
torch.manual_seed(42)
model_0 = LinearRegressionModel()
model_0.state_dict()
with torch.inference_mode():
y_predicts = model_0(X_test)
y_predicts
Full error:
AttributeError Traceback (most recent call last)
in
1 ##predict y_test with X_test
2 with torch.inference_mode():
----> 3 y_predicts = model_0(X_test)
4 y_predicts
2 frames
/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in getattr(self, name)
1206 return modules[name]
1207 raise AttributeError(“‘{}’ object has no attribute ‘{}’”.format(
→ 1208 type(self).name, name))
1209
1210 def setattr(self, name: str, value: Union[Tensor, ‘Module’]) → None:
AttributeError: ‘LinearRegressionModel’ object has no attribute ‘weights’
