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Create a DataLoader

Problem Statement

Create a DataLoader to batch a dataset.

Background

DataLoader wraps a Dataset and provides automatic batching, shuffling, and parallel loading — the standard way to feed data into a training loop.

Your Task

Write a function create_dataloader(dataset, batch_size) that returns a DataLoader for the given dataset with the specified batch size (no shuffling).

Output Format

Return a DataLoader object.

Example:

Input:

dataset (6 samples), batch_size=2, shuffle=False

Output:

DataLoader with 3 batches

Reasoning:

DataLoader automatically handles batching - 6 samples with batch_size=2 gives 3 batches

Constraints:

Use torch.utils.data.DataLoader
batch_size will be a positive integer
shuffle will be a boolean

Editor

Python 3.13.1

Test Results

0/0

Run code to see test results.