How do I load data in PyTorch?
You can use the torch.utils.data
module to load data in PyTorch. Do you have a specific dataset in mind?
I'm working with a custom dataset. How can I create a DataLoader for it?
You can create a custom dataset by subclassing torch.utils.data.Dataset
and implementing the __len__
and __getitem__
methods. Then, use DataLoader
to load it.
Can you show me an example of a custom dataset?
Sure! Here's a simple example:
import torch
from torch.utils.data import Dataset, DataLoader
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]
# Usage
my_data = MyDataset(data=[1, 2, 3, 4])
dataloader = DataLoader(my_data, batch_size=2, shuffle=True)
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free