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In PyTorch, how do you save only the parameters of a model, not the entire model?By using torch.save(model.weights(), PATH)By using torch.save(model.parameters(), PATH)By using torch.save(model.state_dict(), PATH)By using torch.save(model, PATH)

Question

In PyTorch, how do you save only the parameters of a model, not the entire model?By using torch.save(model.weights(), PATH)By using torch.save(model.parameters(), PATH)By using torch.save(model.state_dict(), PATH)By using torch.save(model, PATH)

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Solution

To save only the parameters of a model in PyTorch, you can use the following step-by-step approach:

  1. First, you need to import the necessary libraries:
import torch
  1. Next, you can save the state dictionary of the model using the torch.save() function. This function takes two arguments: the state dictionary of the model and the path where you want to save the parameters.
torch.save(model.state_dict(), PATH)

By using model.state_dict(), you are saving only the parameters of the model, not the entire model itself. This is the recommended way to save and load model parameters in PyTorch.

Note that you should replace model with the actual name of your model, and PATH with the desired file path where you want to save the parameters.

I hope this helps! Let me know if you have any further questions.

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# Find the output of the following:tensor_A = torch.tensor([[1, 2], [3, 4], [5, 6]], dtype=torch.float32)tensor_B = torch.tensor([[7, 10], [8, 11], [9, 12]], dtype=torch.float32)torch.matmul(tensor_A, tensor_B) )[[58,64],[139,154]][[27,30,33],[61,68,75],[95,106,117]]value errornone of the above

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