Linear Regression Model - 01 Session

[sramki67]

I am trying to execute the LinearRegressionModel and am getting an empty list for the parameters.
Here is my code

Create a Linear Regression Class

class LinearRegressionModel(nn.Module):
def __init__self():
super().init()
self.weights = nn.Parameter(torch.randn(1,dtype=torch.float),
requires_grad=True)
self.bias = nn.Parameter(torch.randn(1,
dtype=torch.float),
requires_grad=True)

def forward(self,x:torch.Tensor) -> torch.Tensor:
return self.weights * x + self.bias

torch.manual_seed(42)
model_0 = LinearRegressionModel()
list(model_0.parameters())
model_0.parameters()

[sramki67]

I figured out the issue. Please ignore my posting. The issue was in the __init function in the Model definition.

Thanks