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- Changed author from 'TinyTorch Team' to 'Vijay Janapa Reddi, Harvard University' - Removed copyright notice (© Copyright 2025) - Updated book title to match new tagline - Footer now shows clean author attribution without copyright clutter
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Tiny🔥Torch: Build your own Machine Learning framework from scratch.
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<h1>DataLoader - Data Loading and Preprocessing</h1>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#interactive-learning">🚀 Interactive Learning</a></li>
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||
<div id="searchbox"></div>
|
||
<article class="bd-article">
|
||
|
||
<section class="tex2jax_ignore mathjax_ignore" id="dataloader-data-loading-and-preprocessing">
|
||
<h1>DataLoader - Data Loading and Preprocessing<a class="headerlink" href="#dataloader-data-loading-and-preprocessing" title="Link to this heading">#</a></h1>
|
||
<p>Welcome to the DataLoader module! This is where you’ll learn how to efficiently load, process, and manage data for machine learning systems.</p>
|
||
<div class="tip admonition">
|
||
<p class="admonition-title">🎯 Learning Goals</p>
|
||
<ul class="simple">
|
||
<li><p>Understand data pipelines as the foundation of ML systems</p></li>
|
||
<li><p>Implement efficient data loading with memory management and batching</p></li>
|
||
<li><p>Build reusable dataset abstractions for different data types</p></li>
|
||
<li><p>Master the Dataset and DataLoader pattern used in all ML frameworks</p></li>
|
||
<li><p>Learn systems thinking for data engineering and I/O optimization</p></li>
|
||
</ul>
|
||
</div>
|
||
<section id="build-use-reflect">
|
||
<h2>Build → Use → Reflect<a class="headerlink" href="#build-use-reflect" title="Link to this heading">#</a></h2>
|
||
<ol class="arabic simple">
|
||
<li><p><strong>Build</strong>: Create dataset classes and data loaders from scratch</p></li>
|
||
<li><p><strong>Use</strong>: Load real datasets and feed them to neural networks</p></li>
|
||
<li><p><strong>Reflect</strong>: How data engineering affects system performance and scalability</p></li>
|
||
</ol>
|
||
</section>
|
||
<section id="what-you-ll-learn">
|
||
<h2>What You’ll Learn<a class="headerlink" href="#what-you-ll-learn" title="Link to this heading">#</a></h2>
|
||
<p>By the end of this module, you’ll understand:</p>
|
||
<ul class="simple">
|
||
<li><p>The Dataset pattern for consistent data access</p></li>
|
||
<li><p>How DataLoaders enable efficient batch processing</p></li>
|
||
<li><p>Why batching and shuffling are crucial for ML</p></li>
|
||
<li><p>How to handle datasets larger than memory</p></li>
|
||
<li><p>The connection between data engineering and model performance</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="interactive-learning">
|
||
<h2>🚀 Interactive Learning<a class="headerlink" href="#interactive-learning" title="Link to this heading">#</a></h2>
|
||
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|
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|
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|
||
<div class="sd-card-title sd-font-weight-bold docutils">
|
||
🚀 Launch Binder</div>
|
||
<p class="sd-card-text">Run this module interactively in your browser. No installation required!</p>
|
||
</div>
|
||
<a class="sd-stretched-link sd-hide-link-text reference external" href="https://mybinder.org/v2/gh/mlsysbook/TinyTorch/main?filepath=modules/source/07_dataloader/dataloader_dev.ipynb"><span>https://mybinder.org/v2/gh/mlsysbook/TinyTorch/main?filepath=modules/source/07_dataloader/dataloader_dev.ipynb</span></a></div>
|
||
</div>
|
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<div class="sd-col sd-d-flex-row docutils">
|
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|
||
<div class="sd-card-body docutils">
|
||
<div class="sd-card-title sd-font-weight-bold docutils">
|
||
⚡ Open in Colab</div>
|
||
<p class="sd-card-text">Use Google Colab for GPU access and cloud compute power.</p>
|
||
</div>
|
||
<a class="sd-stretched-link sd-hide-link-text reference external" href="https://colab.research.google.com/github/mlsysbook/TinyTorch/blob/main/modules/source/07_dataloader/dataloader_dev.ipynb"><span>https://colab.research.google.com/github/mlsysbook/TinyTorch/blob/main/modules/source/07_dataloader/dataloader_dev.ipynb</span></a></div>
|
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</div>
|
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|
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<div class="sd-card-body docutils">
|
||
<div class="sd-card-title sd-font-weight-bold docutils">
|
||
📖 View Source</div>
|
||
<p class="sd-card-text">Browse the Python source code and understand the implementation.</p>
|
||
</div>
|
||
<a class="sd-stretched-link sd-hide-link-text reference external" href="https://github.com/mlsysbook/TinyTorch/blob/main/modules/source/07_dataloader/dataloader_dev.py"><span>https://github.com/mlsysbook/TinyTorch/blob/main/modules/source/07_dataloader/dataloader_dev.py</span></a></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="tip admonition">
|
||
<p class="admonition-title">💾 Save Your Progress</p>
|
||
<p><strong>Binder sessions are temporary!</strong> Download your completed notebook when done, or switch to local development for persistent work.</p>
|
||
<p>Ready for serious development? → <a class="reference internal" href="../usage-paths/serious-development.html"><span class="std std-doc">🏗️ Local Setup Guide</span></a></p>
|
||
</div>
|
||
</section>
|
||
</section>
|
||
|
||
<script type="text/x-thebe-config">
|
||
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|
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