01. PyTorch Workflow Fundamentals Timestand - 5:34:45sec

[Gauravjake]

here are the code and I got the error that object has no attribute 'weights'

from torch import nn

# Create lines repression model class
class LinearRegressionModel(nn.Module): # -> almost everything in Pytorch inherhits from nn.Module
  def _init_(self):
   super()._init_()
   self.weights = nn.Parameter(torch.randn(1, # <- start with a random weight and try to adjust it to the ideal weight
                                          requires_grad=True, # <- can this parameter be updated via gradient descent?
                                          dtype=torch.float)) # <- Pytorch loves the datatype torch float32


   self.bias = nn.Parameter(torch.randn(1, #<- start with a  random bias and try to  adjust it to the ideal bias 
                                       require_grad=True, # <- can this parameter be update via gradient descent?
                                       dtype=torch.float)) # <- Python loves the datatype torch.float32

# Forward method to define the computation is the node:
  def forward(self, x: torch.Tensor) -> torch.Tensor: # <- "x" is the input data
   return self.weights * x + self.bias # this is  the linear regression formula

Error

AttributeError                            Traceback (most recent call last)
[<ipython-input-88-8c71e82041ef>](https://localhost:8080/#) in <module>
      2 with torch.inference_mode():
      3 
----> 4   y_preds = model_0(x_test)
      5 

2 frames
[/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py](https://localhost:8080/#) in __getattr__(self, name)
   1263             if name in modules:
   1264                 return modules[name]
-> 1265         raise AttributeError("'{}' object has no attribute '{}'".format(
   1266             type(self).__name__, name))
   1267 

AttributeError: 'LinearRegressionModel' object has no attribute 'weights'

Can any please explain me what is going on here. I search this in stack overflow but still can fix my problem and doubt.

[AlienSarlak]

Hi,

To me it seems you made a mistake in your LinearRegressionModel class:

class LinearRegressionModel(nn.Module): # -> almost everything in Pytorch inherhits from nn.Module
    def _init_(self):
        super()._init_()

Should be

class LinearRegressionModel(nn.Module): # -> almost everything in Pytorch inherhits from nn.Module
    def __init__(self): # <- notice the "__" on each side
        super().__init__() # <- notice the "__" on each side

You forgot using __ (double underscores).

[mrdbourke]

Thank you for helping @AlienSarlak! I formatted your answer a little for readability.