How do I create a custom dataset in PyTorch?

How do I create a custom dataset in PyTorch?

To create a custom dataset in PyTorch, you need to subclass torch.utils.data.Dataset and implement the required methods.

What methods do I need to implement in my custom dataset class?

You need to implement __init__, __len__, and __getitem__ methods. __init__ initializes your dataset, __len__ returns the size, and __getitem__ retrieves an item.

Can you give me an example of how to implement these methods?

Sure! Here's a simple example:

import torch
from torch.utils.data import Dataset

class MyDataset(Dataset):
    def __init__(self, data):
        self.data = data

    def __len__(self):
        return len(self.data)

    def __getitem__(self, idx):
        return self.data[idx]