mirror of
https://github.com/MLSysBook/TinyTorch.git
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1225 lines
54 KiB
HTML
1225 lines
54 KiB
HTML
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<!DOCTYPE html>
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<html lang="en" data-content_root="./" >
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>Quick Start Guide — Tiny🔥Torch</title>
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<link rel="icon" href="_static/favicon.svg"/>
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<link rel="index" title="Index" href="genindex.html" />
|
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<link rel="search" title="Search" href="search.html" />
|
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<link rel="next" title="Student Workflow" href="student-workflow.html" />
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<link rel="prev" title="Getting Started" href="intro.html" />
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||
|
||
<section id="quick-start-guide">
|
||
<h1>Quick Start Guide<a class="headerlink" href="#quick-start-guide" title="Link to this heading">#</a></h1>
|
||
<div style="background: #f8f9fa; padding: 2rem; border-radius: 0.5rem; margin: 2rem 0; text-align: center;">
|
||
<h2 style="margin: 0 0 1rem 0; color: #495057;">From Zero to Building Neural Networks</h2>
|
||
<p style="margin: 0; font-size: 1.1rem; color: #6c757d;">Complete setup + first module in 15 minutes</p>
|
||
</div>
|
||
<p><strong>Purpose</strong>: Get hands-on experience building ML systems in 15 minutes. Complete setup verification and build your first neural network component from scratch.</p>
|
||
<section id="minute-setup">
|
||
<h2>2-Minute Setup<a class="headerlink" href="#minute-setup" title="Link to this heading">#</a></h2>
|
||
<p>Let’s get you ready to build ML systems:</p>
|
||
<div style="background: #e3f2fd; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #2196f3; margin: 1.5rem 0;">
|
||
<h4 style="margin: 0 0 1rem 0; color: #1976d2;">Step 1: One-Command Setup</h4>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Clone repository</span>
|
||
git<span class="w"> </span>clone<span class="w"> </span>https://github.com/mlsysbook/TinyTorch.git
|
||
<span class="nb">cd</span><span class="w"> </span>TinyTorch
|
||
|
||
<span class="c1"># Automated setup (handles everything!)</span>
|
||
./setup-environment.sh
|
||
|
||
<span class="c1"># Activate environment</span>
|
||
<span class="nb">source</span><span class="w"> </span>activate.sh
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>What this does:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>Creates optimized virtual environment (arm64 on Apple Silicon)</p></li>
|
||
<li><p>Installs all dependencies (NumPy, Jupyter, Rich, PyTorch for validation)</p></li>
|
||
<li><p>Configures TinyTorch in development mode</p></li>
|
||
<li><p>Verifies installation</p></li>
|
||
</ul>
|
||
<p>See <a class="reference internal" href="tito/overview.html"><span class="std std-doc">TITO CLI Reference</span></a> for detailed workflow and troubleshooting.</p>
|
||
</div>
|
||
<div style="background: #f0fdf4; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #22c55e; margin: 1.5rem 0;">
|
||
<h4 style="margin: 0 0 1rem 0; color: #15803d;">Step 2: Verify Setup</h4>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Run system diagnostics</span>
|
||
tito<span class="w"> </span>system<span class="w"> </span>doctor
|
||
</pre></div>
|
||
</div>
|
||
<p>You should see all green checkmarks. This confirms your environment is ready for hands-on ML systems building.</p>
|
||
<p>See <a class="reference internal" href="tito/modules.html"><span class="std std-doc">Module Workflow</span></a> for detailed commands and <a class="reference internal" href="tito/troubleshooting.html"><span class="std std-doc">Troubleshooting</span></a> if needed.</p>
|
||
</div>
|
||
<div style="background: #e3f2fd; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #2196f3; margin: 1.5rem 0;">
|
||
<h4 style="margin: 0 0 1rem 0; color: #1976d2;">Step 3: Join the Community & Benchmark</h4>
|
||
<p>After setup, join the global TinyTorch community and validate your setup:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Join the community (optional)</span>
|
||
tito<span class="w"> </span>community<span class="w"> </span>join
|
||
|
||
<span class="c1"># Run baseline benchmark to validate setup</span>
|
||
tito<span class="w"> </span>benchmark<span class="w"> </span>baseline
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>Community Features:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>Join with optional information (country, institution, course type)</p></li>
|
||
<li><p>Track your progress automatically</p></li>
|
||
<li><p>See your cohort (Fall 2024, Spring 2025, etc.)</p></li>
|
||
<li><p>All data stored locally in <code class="docutils literal notranslate"><span class="pre">.tinytorch/</span></code> directory</p></li>
|
||
</ul>
|
||
<p><strong>Baseline Benchmark:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>Quick validation that everything works</p></li>
|
||
<li><p>Your “Hello World” moment!</p></li>
|
||
<li><p>Generates score and saves results locally</p></li>
|
||
</ul>
|
||
<p>See <a class="reference internal" href="#community.html"><span class="xref myst">Community Guide</span></a> for complete features.</p>
|
||
</div>
|
||
</section>
|
||
<section id="minute-first-module-walkthrough">
|
||
<h2>15-Minute First Module Walkthrough<a class="headerlink" href="#minute-first-module-walkthrough" title="Link to this heading">#</a></h2>
|
||
<p>Let’s build your first neural network component following the <strong>TinyTorch workflow</strong>:</p>
|
||
<pre class="mermaid">
|
||
graph TD
|
||
Start[Clone & Setup] --> Edit[Edit Module<br/>01_tensor.ipynb]
|
||
Edit --> Export[Export to Package<br/>tito module complete 01]
|
||
Export --> Test[Test Import<br/>from tinytorch import Tensor]
|
||
Test --> Next[Continue to Module 02]
|
||
|
||
style Start fill:#e3f2fd
|
||
style Edit fill:#fffbeb
|
||
style Export fill:#f0fdf4
|
||
style Test fill:#fef3c7
|
||
style Next fill:#f3e5f5
|
||
</pre><p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the complete development cycle.</p>
|
||
<section id="module-01-tensor-foundations">
|
||
<h3>Module 01: Tensor Foundations<a class="headerlink" href="#module-01-tensor-foundations" title="Link to this heading">#</a></h3>
|
||
<div style="background: #fffbeb; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #f59e0b; margin: 1.5rem 0;">
|
||
<p><strong>Learning Goal:</strong> Build N-dimensional arrays - the foundation of all neural networks</p>
|
||
<p><strong>Time:</strong> 15 minutes</p>
|
||
<p><strong>Action:</strong> Start with Module 01 to build tensor operations from scratch.</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Step 1: Edit the module source</span>
|
||
<span class="nb">cd</span><span class="w"> </span>modules/01_tensor
|
||
jupyter<span class="w"> </span>lab<span class="w"> </span>tensor_dev.ipynb
|
||
</pre></div>
|
||
</div>
|
||
<p>You’ll implement core tensor operations:</p>
|
||
<ul class="simple">
|
||
<li><p>N-dimensional array creation</p></li>
|
||
<li><p>Basic mathematical operations (add, multiply, matmul)</p></li>
|
||
<li><p>Shape manipulation (reshape, transpose)</p></li>
|
||
<li><p>Memory layout understanding</p></li>
|
||
</ul>
|
||
<p><strong>Key Implementation:</strong> Build the <code class="docutils literal notranslate"><span class="pre">Tensor</span></code> class that forms the foundation of all neural networks</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Step 2: Export to package when ready</span>
|
||
tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span><span class="m">01</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>This makes your implementation importable: <code class="docutils literal notranslate"><span class="pre">from</span> <span class="pre">tinytorch</span> <span class="pre">import</span> <span class="pre">Tensor</span></code></p>
|
||
<p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the complete edit → export → validate cycle.</p>
|
||
<p><strong>Achievement Unlocked:</strong> Foundation capability - “Can I create and manipulate the building blocks of ML?”</p>
|
||
</div>
|
||
</section>
|
||
<section id="next-step-module-02-activations">
|
||
<h3>Next Step: Module 02 - Activations<a class="headerlink" href="#next-step-module-02-activations" title="Link to this heading">#</a></h3>
|
||
<div style="background: #fdf2f8; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #ec4899; margin: 1.5rem 0;">
|
||
<p><strong>Learning Goal:</strong> Add nonlinearity - the key to neural network intelligence</p>
|
||
<p><strong>Time:</strong> 10 minutes</p>
|
||
<p><strong>Action:</strong> Continue with Module 02 to add activation functions.</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Step 1: Edit the module</span>
|
||
<span class="nb">cd</span><span class="w"> </span>modules/02_activations
|
||
jupyter<span class="w"> </span>lab<span class="w"> </span>activations_dev.ipynb
|
||
</pre></div>
|
||
</div>
|
||
<p>You’ll implement essential activation functions:</p>
|
||
<ul class="simple">
|
||
<li><p>ReLU (Rectified Linear Unit) - the workhorse of deep learning</p></li>
|
||
<li><p>Softmax - for probability distributions</p></li>
|
||
<li><p>Understand gradient flow and numerical stability</p></li>
|
||
<li><p>Learn why nonlinearity enables learning</p></li>
|
||
</ul>
|
||
<p><strong>Key Implementation:</strong> Build activation functions that allow neural networks to learn complex patterns</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Step 2: Export when ready</span>
|
||
tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span><span class="m">02</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the complete edit → export → validate cycle.</p>
|
||
<p><strong>Achievement Unlocked:</strong> Intelligence capability - “Can I add nonlinearity to enable learning?”</p>
|
||
</div>
|
||
</section>
|
||
</section>
|
||
<section id="track-your-progress">
|
||
<h2>Track Your Progress<a class="headerlink" href="#track-your-progress" title="Link to this heading">#</a></h2>
|
||
<p>After completing your first modules:</p>
|
||
<div style="background: #f8f9fa; padding: 1.5rem; border: 1px solid #dee2e6; border-radius: 0.5rem; margin: 1.5rem 0;">
|
||
<p><strong>Check your new capabilities:</strong> Use the optional checkpoint system to track your progress:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>checkpoint<span class="w"> </span>status<span class="w"> </span><span class="c1"># View your completion tracking</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>This is helpful for self-assessment but not required for the core workflow.</p>
|
||
<p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the essential edit → export → validate cycle.</p>
|
||
</div>
|
||
</section>
|
||
<section id="validate-with-historical-milestones">
|
||
<h2>Validate with Historical Milestones<a class="headerlink" href="#validate-with-historical-milestones" title="Link to this heading">#</a></h2>
|
||
<p>After exporting your modules, <strong>prove what you’ve built</strong> by running milestone scripts:</p>
|
||
<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 2rem; border-radius: 0.5rem; margin: 1.5rem 0; color: white;">
|
||
<p><strong>After Module 07</strong>: Build <strong>Rosenblatt’s 1957 Perceptron</strong> - the first trainable neural network<br />
|
||
<strong>After Module 07</strong>: Solve the <strong>1969 XOR Crisis</strong> with multi-layer networks<br />
|
||
<strong>After Module 08</strong>: Achieve <strong>95%+ accuracy on MNIST</strong> with 1986 backpropagation<br />
|
||
<strong>After Module 09</strong>: Hit <strong>75%+ on CIFAR-10</strong> with 1998 CNNs<br />
|
||
<strong>After Module 13</strong>: Generate text with <strong>2017 Transformers</strong><br />
|
||
<strong>After Module 18</strong>: Optimize for production with <strong>2018 Torch Olympics</strong></p>
|
||
<p>See <a class="reference internal" href="chapters/milestones.html"><span class="std std-doc">Journey Through ML History</span></a> for complete timeline, requirements, and expected results.</p>
|
||
</div>
|
||
<p><strong>The Workflow</strong>: Edit modules → Export with <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">module</span> <span class="pre">complete</span> <span class="pre">N</span></code> → Run milestone scripts to validate</p>
|
||
<p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the complete cycle.</p>
|
||
</section>
|
||
<section id="what-you-just-accomplished">
|
||
<h2>What You Just Accomplished<a class="headerlink" href="#what-you-just-accomplished" title="Link to this heading">#</a></h2>
|
||
<p>In 15 minutes, you’ve:</p>
|
||
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 1rem; margin: 2rem 0;">
|
||
<div style="background: #e6fffa; padding: 1rem; border-radius: 0.5rem; border-left: 3px solid #26d0ce;">
|
||
<h4 style="margin: 0 0 0.5rem 0; color: #0d9488;">Setup Complete</h4>
|
||
<p style="margin: 0; font-size: 0.9rem;">Installed TinyTorch and verified your environment</p>
|
||
</div>
|
||
<div style="background: #f0f9ff; padding: 1rem; border-radius: 0.5rem; border-left: 3px solid #3b82f6;">
|
||
<h4 style="margin: 0 0 0.5rem 0; color: #1d4ed8;">Created Foundation</h4>
|
||
<p style="margin: 0; font-size: 0.9rem;">Implemented core tensor operations from scratch</p>
|
||
</div>
|
||
<div style="background: #fefce8; padding: 1rem; border-radius: 0.5rem; border-left: 3px solid #eab308;">
|
||
<h4 style="margin: 0 0 0.5rem 0; color: #a16207;">First Capability</h4>
|
||
<p style="margin: 0; font-size: 0.9rem;">Earned your first ML systems capability checkpoint</p>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
<section id="your-next-steps">
|
||
<h2>Your Next Steps<a class="headerlink" href="#your-next-steps" title="Link to this heading">#</a></h2>
|
||
<div style="background: #f8f9fa; padding: 2rem; border-radius: 0.5rem; margin: 2rem 0;">
|
||
<section id="immediate-next-actions-choose-one">
|
||
<h3>Immediate Next Actions (Choose One):<a class="headerlink" href="#immediate-next-actions-choose-one" title="Link to this heading">#</a></h3>
|
||
<p><strong>Continue Building (Recommended):</strong> Begin Module 03 to add layers to your network.</p>
|
||
<p><strong>Master the Workflow:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for the complete edit → export → validate cycle</p></li>
|
||
<li><p>See <a class="reference internal" href="tito/overview.html"><span class="std std-doc">TITO CLI Reference</span></a> for complete command reference</p></li>
|
||
</ul>
|
||
<p><strong>For Instructors:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>See <a class="reference internal" href="usage-paths/classroom-use.html"><span class="std std-doc">Classroom Setup Guide</span></a> for <a class="reference external" href="https://nbgrader.readthedocs.io/">NBGrader</a> integration</p></li>
|
||
</ul>
|
||
<p><strong>Notebook Platforms:</strong></p>
|
||
<ul class="simple">
|
||
<li><p><strong>Online (Viewing)</strong>: Jupyter/MyBinder, Google Colab, Marimo - great for exploring notebooks</p></li>
|
||
<li><p><strong>⚠️ Important</strong>: Online notebooks are for <strong>viewing only</strong>. For full package experiments, milestone validation, and CLI tools, you need <strong>local installation</strong> (see <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a>)</p></li>
|
||
</ul>
|
||
</div>
|
||
</section>
|
||
</section>
|
||
<section id="pro-tips-for-continued-success">
|
||
<h2>Pro Tips for Continued Success<a class="headerlink" href="#pro-tips-for-continued-success" title="Link to this heading">#</a></h2>
|
||
<div style="background: #fff5f5; padding: 1.5rem; border: 1px solid #fed7d7; border-radius: 0.5rem; margin: 1rem 0;">
|
||
<p><strong>The TinyTorch Development Cycle:</strong></p>
|
||
<ol class="arabic simple">
|
||
<li><p>Edit module sources in <code class="docutils literal notranslate"><span class="pre">modules/NN_name/</span></code> (e.g., <code class="docutils literal notranslate"><span class="pre">modules/01_tensor/tensor_dev.ipynb</span></code>)</p></li>
|
||
<li><p>Export with <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">module</span> <span class="pre">complete</span> <span class="pre">N</span></code></p></li>
|
||
<li><p>Validate by running milestone scripts</p></li>
|
||
</ol>
|
||
<p>See <a class="reference internal" href="student-workflow.html"><span class="std std-doc">Student Workflow</span></a> for detailed workflow guide and best practices.</p>
|
||
</div>
|
||
</section>
|
||
<section id="youre-now-a-tinytorch-builder">
|
||
<h2>You’re Now a TinyTorch Builder<a class="headerlink" href="#youre-now-a-tinytorch-builder" title="Link to this heading">#</a></h2>
|
||
<div style="background: #f8f9fa; padding: 2rem; border-radius: 0.5rem; margin: 2rem 0; text-align: center;">
|
||
<h3 style="margin: 0 0 1rem 0; color: #495057;">Ready to Build Production ML Systems</h3>
|
||
<p style="margin: 0 0 1.5rem 0; color: #6c757d;">You've proven you can build ML components from scratch. Time to keep going!</p>
|
||
<a href="chapters/03-activations.html" style="display: inline-block; background: #007bff; color: white; padding: 0.75rem 1.5rem; border-radius: 0.25rem; text-decoration: none; font-weight: 500; margin-right: 1rem;">Continue Building →</a>
|
||
<a href="tito/overview.html" style="display: inline-block; background: #28a745; color: white; padding: 0.75rem 1.5rem; border-radius: 0.25rem; text-decoration: none; font-weight: 500;">TITO CLI Reference →</a>
|
||
</div>
|
||
<hr class="docutils" />
|
||
<p><strong>What makes TinyTorch different:</strong> You’re not just learning <em>about</em> neural networks—you’re building them from fundamental mathematical operations. Every line of code you write builds toward complete ML systems mastery.</p>
|
||
<p><strong>Next milestone:</strong> After Module 08, you’ll train real neural networks on actual datasets using 100% your own code!</p>
|
||
</section>
|
||
</section>
|
||
|
||
<script type="text/x-thebe-config">
|
||
{
|
||
requestKernel: true,
|
||
binderOptions: {
|
||
repo: "binder-examples/jupyter-stacks-datascience",
|
||
ref: "master",
|
||
},
|
||
codeMirrorConfig: {
|
||
theme: "abcdef",
|
||
mode: "python"
|
||
},
|
||
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|
||
name: "python3",
|
||
path: "./."
|
||
},
|
||
predefinedOutput: true
|
||
}
|
||
</script>
|
||
<script>kernelName = 'python3'</script>
|
||
|
||
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|
||
|
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|
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|
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|
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|
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<i class="fa-solid fa-list"></i> Contents
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#minute-setup">2-Minute Setup</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#minute-first-module-walkthrough">15-Minute First Module Walkthrough</a><ul class="nav section-nav flex-column">
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