Скачать или смотреть Resolving the parameters() missing 1 required positional argument: 'self' Error in PyTorch

Understand how to fix the error related to model parameters in PyTorch and ensure smooth functionality in your neural network operations.
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Overcoming the parameters() missing 1 required positional argument: 'self' Error in PyTorch

If you are a developer working with PyTorch, you might have encountered various errors while building and training your neural networks. One such error that can be frustrating, especially for beginners, is the TypeError: parameters() missing 1 required positional argument: 'self'. This error usually signifies an issue with how you are referring to your model's parameters after instantiation. In this guide, we will break down what causes this error and how to fix it effectively.

What Causes the Error?

The error arises when you attempt to access parameters of a model class without properly using an instance of that class. In the provided code snippet, the model class AddNN is correctly instantiated as net, but the parameters are accessed incorrectly when you set up your optimizer:

[[See Video to Reveal this Text or Code Snippet]]

By trying to call parameters() directly on the class AddNN, you fail to give it an instance, leading to the absence of the required self argument. The solution is straightforward: utilize the instantiated object instead of the class reference.

The Solution: Accessing Model Parameters Correctly

To fix this error, you need to ensure that you're using the correct instance of your model when trying to access its parameters. Here's how you can do it:

Instantiate the model: You’ve already created an instance of AddNN with net = AddNN().

Use the instance to access parameters: When creating the optimizer, replace the class reference with the instantiated object, net.

Revised Code Example

Here's the corrected portion of your code:

[[See Video to Reveal this Text or Code Snippet]]

Key Takeaways

Always use an instance of your model when accessing its parameters.

The model's methods (like parameters()) are specific to the instance, not the class itself.

Being mindful of instances and classes will help clear up similar errors in the future.

Conclusion

Encountering errors like parameters() missing 1 required positional argument: 'self' can be tricky while you navigate through your machine learning models. Remembering to always use an instance of your class when accessing methods will save you time and hassle. With this clear understanding, you can focus more on building effective models rather than battling coding errors. Happy coding in PyTorch!