10 Questions
Which convention is commonly used to save PyTorch checkpoints?
Using a specific file extension
What should be done before running inference to ensure consistent results?
Setting dropout and batch normalization layers to evaluation mode
When is it helpful to warmstart the training process using trained parameters?
When training a new complex model
Which function in PyTorch is used to access the learnable parameters of a model?
parameters
Which type of layers have entries in the model's state_dict?
Only layers with learnable parameters
What is the purpose of the optimizer's state_dict in PyTorch?
To store the optimizer's state and hyperparameters
Which method is recommended for saving models in PyTorch?
Saving the model's state_dict
What should be done before running inference with dropout and batch normalization layers?
Set them to evaluation mode
Which format is recommended for scaled inference and deployment in PyTorch?
TorchScript
What should be saved when creating a general checkpoint for inference and/or resuming training?
Model's state_dict and optimizer's state_dict
Test your knowledge on saving and loading PyTorch models with this quiz. Learn about the core functions and different use cases for effectively saving and loading models.
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