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import torch
from torch.utils.data import Dataset, DataLoader
class TextDataset(Dataset):
def __init__(self, data, block_size):
self.data = data
self.block_size = block_size
def __len__(self):
return len(self.data) - self.block_size
def __getitem__(self, idx):
x = self.data[idx:idx + self.block_size]
y = self.data[idx + 1:idx + self.block_size + 1]
return x, y
def create_dataloaders(text, tokenizer, config, device):
data = torch.tensor(tokenizer.encode(text), dtype=torch.long)
n = int(0.9 * len(data))
train_data = data[:n]
val_data = data[n:]
train_dataset = TextDataset(train_data, config.block_size)
val_dataset = TextDataset(val_data, config.block_size)
train_loader = DataLoader(
train_dataset,
batch_size=config.batch_size,
shuffle=True,
pin_memory=True
)
val_loader = DataLoader(
val_dataset,
batch_size=config.batch_size,
shuffle=False,
pin_memory=True
)
return train_loader, val_loader |