pytorch.save

PyTorch provides the `torch.save()` function to save models, tensors, or any other PyTorch objects to disk. This function takes two arguments: the object to be saved and the file path where it should be saved. Here's an example:

import torch

# Save a model or tensor
model = MyModel()
torch.save(model.state_dict(), "model.pt")

# Save multiple objects
data1 = torch.tensor([1, 2, 3])
data2 = torch.tensor([4, 5, 6])
torch.save({"data1": data1, "data2": data2}, "data.pt")

In the first example, we save the state dictionary of a model using `model.state_dict()`. This allows us to later load the model and load the saved parameters into it.

In the second example, we save multiple objects by creating a dictionary with named keys and saving it. When loading, we can access these objects by their respective keys.

Remember to provide a unique file path for each saved object to avoid overwriting existing files.