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TinyTorch: Build ML Systems from Scratch
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<h1>Track Your Progress</h1>
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<!-- Table of contents -->
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<h2> Contents </h2>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-core-workflow">The Core Workflow</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-modules-vs-checkpoints-vs-milestones">Understanding Modules vs Checkpoints vs Milestones</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#your-learning-path-overview">Your Learning Path Overview</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-progression-checklist">Module Progression Checklist</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-checkpoint-system">Optional: Checkpoint System</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-development-approach">Capability Development Approach</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation-building-checkpoints-0-3">Foundation Building (Checkpoints 0-3)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-systems-checkpoints-4-7">Learning Systems (Checkpoints 4-7)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#advanced-architectures-checkpoints-8-13">Advanced Architectures (Checkpoints 8-13)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#production-systems-checkpoints-14-15">Production Systems (Checkpoints 14-15)</a></li>
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|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#start-building-capabilities">Start Building Capabilities</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#how-to-track-your-progress">How to Track Your Progress</a></li>
|
||
</ul>
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div id="searchbox"></div>
|
||
<article class="bd-article">
|
||
|
||
<section id="track-your-progress">
|
||
<h1>Track Your Progress<a class="headerlink" href="#track-your-progress" title="Permalink 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;">Monitor Your Learning Journey</h2>
|
||
<p style="margin: 0; font-size: 1.1rem; color: #6c757d;">Track your capability development through 20 modules and 6 historical milestones</p>
|
||
</div>
|
||
<p><strong>Purpose</strong>: Monitor your progress as you build a complete ML framework from scratch. Track module completion and milestone achievements.</p>
|
||
<section id="the-core-workflow">
|
||
<h2>The Core Workflow<a class="headerlink" href="#the-core-workflow" title="Permalink to this heading">#</a></h2>
|
||
<p>TinyTorch follows a simple three-step cycle: <strong>Edit modules → Export to package → Validate with milestones</strong></p>
|
||
<p><strong>📖 See <span class="xref myst">Student Workflow</span></strong> for the complete development cycle, best practices, and troubleshooting.</p>
|
||
</section>
|
||
<section id="understanding-modules-vs-checkpoints-vs-milestones">
|
||
<h2>Understanding Modules vs Checkpoints vs Milestones<a class="headerlink" href="#understanding-modules-vs-checkpoints-vs-milestones" title="Permalink to this heading">#</a></h2>
|
||
<div style="background: #e3f2fd; padding: 1.5rem; border-radius: 0.5rem; border-left: 4px solid #2196f3; margin: 1.5rem 0;">
|
||
<p><strong>Modules (18 total)</strong>: What you’re building - the actual code implementations</p>
|
||
<ul class="simple">
|
||
<li><p>Located in <code class="docutils literal notranslate"><span class="pre">modules/source/</span></code></p></li>
|
||
<li><p>You implement each component from scratch</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>
|
||
</ul>
|
||
<p><strong>Milestones (6 total)</strong>: How you validate - historical proof scripts</p>
|
||
<ul class="simple">
|
||
<li><p>Located in <code class="docutils literal notranslate"><span class="pre">milestones/</span></code></p></li>
|
||
<li><p>Run scripts that use YOUR implementations</p></li>
|
||
<li><p>Recreate ML history (1957 Perceptron → 2018 MLPerf)</p></li>
|
||
</ul>
|
||
<p><strong>Checkpoints (21 total)</strong>: Optional progress tracking</p>
|
||
<ul class="simple">
|
||
<li><p>Use <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">checkpoint</span> <span class="pre">status</span></code> to view</p></li>
|
||
<li><p>Tracks capability mastery</p></li>
|
||
<li><p>Not required for the core workflow</p></li>
|
||
</ul>
|
||
<p><strong>📖 See <span class="xref myst">Journey Through ML History</span></strong> for milestone details.</p>
|
||
</div>
|
||
</section>
|
||
<section id="your-learning-path-overview">
|
||
<h2>Your Learning Path Overview<a class="headerlink" href="#your-learning-path-overview" title="Permalink to this heading">#</a></h2>
|
||
<p>TinyTorch organizes 20 modules through three pedagogically-motivated tiers: <strong>Foundation</strong> (build mathematical infrastructure), <strong>Architecture</strong> (implement modern AI), and <strong>Optimization</strong> (deploy production systems).</p>
|
||
<p><strong>📖 See <span class="xref myst">Three-Tier Learning Structure</span></strong> for complete tier breakdown, detailed module descriptions, time estimates, and learning outcomes.</p>
|
||
</section>
|
||
<section id="module-progression-checklist">
|
||
<h2>Module Progression Checklist<a class="headerlink" href="#module-progression-checklist" title="Permalink to this heading">#</a></h2>
|
||
<p>Track your journey through the 20 modules:</p>
|
||
<ul class="contains-task-list simple">
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 01</strong>: Tensor - N-dimensional arrays</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 02</strong>: Activations - ReLU, Softmax</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 03</strong>: Layers - Linear layers</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 04</strong>: Losses - CrossEntropyLoss, MSELoss</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 05</strong>: Autograd - Automatic differentiation</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 06</strong>: Optimizers - SGD, Adam</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 07</strong>: Training - Complete training loops</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 08</strong>: DataLoader - Batching and pipelines</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 09</strong>: Spatial - Conv2d, MaxPool2d</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 10</strong>: Tokenization - Character-level tokenizers</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 11</strong>: Embeddings - Token and positional embeddings</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 12</strong>: Attention - Multi-head self-attention</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 13</strong>: Transformers - LayerNorm, GPT</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 14</strong>: Profiling - Performance measurement</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 15</strong>: Quantization - INT8/FP16</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 16</strong>: Compression - Pruning techniques</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 17</strong>: Memoization - KV-cache</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 18</strong>: Acceleration - Batching strategies</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 19</strong>: Benchmarking - MLPerf-style comparison</p></li>
|
||
<li class="task-list-item"><p><input class="task-list-item-checkbox" disabled="disabled" type="checkbox"> <strong>Module 20</strong>: Competition - Capstone challenge</p></li>
|
||
</ul>
|
||
<p><strong>📖 See <span class="xref myst">Quick Start Guide</span></strong> for immediate hands-on experience with your first module.</p>
|
||
</section>
|
||
<section id="optional-checkpoint-system">
|
||
<h2>Optional: Checkpoint System<a class="headerlink" href="#optional-checkpoint-system" title="Permalink to this heading">#</a></h2>
|
||
<p>Track capability mastery with the optional checkpoint system:</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 progress</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>This provides 21 capability checkpoints corresponding to modules and validates your understanding. Helpful for self-assessment but <strong>not required</strong> for the core workflow.</p>
|
||
<p><strong>📖 See <span class="xref myst">Essential Commands</span></strong> for checkpoint commands.</p>
|
||
</section>
|
||
<hr class="docutils" />
|
||
<section id="capability-development-approach">
|
||
<h2>Capability Development Approach<a class="headerlink" href="#capability-development-approach" title="Permalink to this heading">#</a></h2>
|
||
<section id="foundation-building-checkpoints-0-3">
|
||
<h3>Foundation Building (Checkpoints 0-3)<a class="headerlink" href="#foundation-building-checkpoints-0-3" title="Permalink to this heading">#</a></h3>
|
||
<p><strong>Capability Focus</strong>: Core computational infrastructure</p>
|
||
<ul class="simple">
|
||
<li><p>Environment configuration and dependency management</p></li>
|
||
<li><p>Mathematical foundations with tensor operations</p></li>
|
||
<li><p>Neural intelligence through nonlinear activation functions</p></li>
|
||
<li><p>Network component abstractions and forward propagation</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="learning-systems-checkpoints-4-7">
|
||
<h3>Learning Systems (Checkpoints 4-7)<a class="headerlink" href="#learning-systems-checkpoints-4-7" title="Permalink to this heading">#</a></h3>
|
||
<p><strong>Capability Focus</strong>: Training and optimization</p>
|
||
<ul class="simple">
|
||
<li><p>Loss measurement and error quantification</p></li>
|
||
<li><p>Automatic differentiation for gradient computation</p></li>
|
||
<li><p>Parameter optimization with advanced algorithms</p></li>
|
||
<li><p>Complete training loop implementation</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="advanced-architectures-checkpoints-8-13">
|
||
<h3>Advanced Architectures (Checkpoints 8-13)<a class="headerlink" href="#advanced-architectures-checkpoints-8-13" title="Permalink to this heading">#</a></h3>
|
||
<p><strong>Capability Focus</strong>: Specialized neural networks</p>
|
||
<ul class="simple">
|
||
<li><p>Spatial processing for computer vision systems</p></li>
|
||
<li><p>Efficient data loading and preprocessing pipelines</p></li>
|
||
<li><p>Natural language processing and tokenization</p></li>
|
||
<li><p>Representation learning with embeddings</p></li>
|
||
<li><p>Attention mechanisms for sequence understanding</p></li>
|
||
<li><p>Complete transformer architecture mastery</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="production-systems-checkpoints-14-15">
|
||
<h3>Production Systems (Checkpoints 14-15)<a class="headerlink" href="#production-systems-checkpoints-14-15" title="Permalink to this heading">#</a></h3>
|
||
<p><strong>Capability Focus</strong>: Performance and deployment</p>
|
||
<ul class="simple">
|
||
<li><p>Profiling, optimization, and bottleneck analysis</p></li>
|
||
<li><p>End-to-end ML systems engineering</p></li>
|
||
<li><p>Production-ready deployment and monitoring</p></li>
|
||
</ul>
|
||
</section>
|
||
</section>
|
||
<hr class="docutils" />
|
||
<section id="start-building-capabilities">
|
||
<h2>Start Building Capabilities<a class="headerlink" href="#start-building-capabilities" title="Permalink to this heading">#</a></h2>
|
||
<p>Begin developing ML systems competencies immediately:</p>
|
||
<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;">Begin Capability Development</h3>
|
||
<p style="margin: 0 0 1.5rem 0; color: #6c757d;">Start with foundational capabilities and progress systematically</p>
|
||
<a href="quickstart-guide.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;">15-Minute Start →</a>
|
||
<a href="chapters/01-setup.html" style="display: inline-block; background: #28a745; color: white; padding: 0.75rem 1.5rem; border-radius: 0.25rem; text-decoration: none; font-weight: 500;">Begin Setup →</a>
|
||
</div>
|
||
</section>
|
||
<section id="how-to-track-your-progress">
|
||
<h2>How to Track Your Progress<a class="headerlink" href="#how-to-track-your-progress" title="Permalink to this heading">#</a></h2>
|
||
<p>The essential workflow:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># 1. Work on a module</span>
|
||
<span class="nb">cd</span><span class="w"> </span>modules/source/03_layers
|
||
jupyter<span class="w"> </span>lab<span class="w"> </span>03_layers_dev.py
|
||
|
||
<span class="c1"># 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">03</span>
|
||
|
||
<span class="c1"># 3. Validate with milestones</span>
|
||
<span class="nb">cd</span><span class="w"> </span>../../milestones/01_1957_perceptron
|
||
python<span class="w"> </span>01_rosenblatt_forward.py<span class="w"> </span><span class="c1"># Uses YOUR implementation!</span>
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>Optional</strong>: Use <code class="docutils literal notranslate"><span class="pre">tito</span> <span class="pre">checkpoint</span> <span class="pre">status</span></code> to see capability tracking</p>
|
||
<p><strong>📖 See <span class="xref myst">Student Workflow</span></strong> for the complete development cycle.</p>
|
||
<p><strong>Approach</strong>: You’re building ML systems engineering capabilities through hands-on implementation. Each module adds new functionality to your framework, and milestones prove it works.</p>
|
||
</section>
|
||
</section>
|
||
|
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<script type="text/x-thebe-config">
|
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<i class="fa-solid fa-list"></i> Contents
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-core-workflow">The Core Workflow</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#understanding-modules-vs-checkpoints-vs-milestones">Understanding Modules vs Checkpoints vs Milestones</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#your-learning-path-overview">Your Learning Path Overview</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-progression-checklist">Module Progression Checklist</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#optional-checkpoint-system">Optional: Checkpoint System</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#capability-development-approach">Capability Development Approach</a><ul class="nav section-nav flex-column">
|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation-building-checkpoints-0-3">Foundation Building (Checkpoints 0-3)</a></li>
|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-systems-checkpoints-4-7">Learning Systems (Checkpoints 4-7)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#advanced-architectures-checkpoints-8-13">Advanced Architectures (Checkpoints 8-13)</a></li>
|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#production-systems-checkpoints-14-15">Production Systems (Checkpoints 14-15)</a></li>
|
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</ul>
|
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|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#start-building-capabilities">Start Building Capabilities</a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#how-to-track-your-progress">How to Track Your Progress</a></li>
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