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1260 lines
55 KiB
HTML
1260 lines
55 KiB
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<title>Student Workflow — Tiny🔥Torch</title>
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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="TinyTorch for Instructors: Complete ML Systems Course" href="usage-paths/classroom-use.html" />
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Getting Started
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<h1>Student Workflow</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><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="#step-1-edit-modules">Step 1: Edit Modules</a></li>
|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#step-2-export-to-package">Step 2: Export to Package</a></li>
|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#step-3-validate-with-milestones">Step 3: Validate with Milestones</a></li>
|
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|
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation-modules-01-07">Foundation (Modules 01-07)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#architecture-modules-08-13">Architecture (Modules 08-13)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#optimization-modules-14-19">Optimization (Modules 14-19)</a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#capstone-competition-module-20">Capstone Competition (Module 20)</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="#typical-development-session">Typical Development Session</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#tito-commands-reference">TITO Commands Reference</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#checkpoint-system-optional">Checkpoint System (Optional)</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#notebook-platform-options">Notebook Platform Options</a><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#online-notebooks-viewing-exploration">Online Notebooks (Viewing & Exploration)</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#local-setup-required-for-full-package">Local Setup (Required for Full Package)</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#community-benchmarking">Community & Benchmarking</a><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#join-the-community">Join the Community</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#benchmark-your-progress">Benchmark Your Progress</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#instructor-integration">Instructor Integration</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#whats-next">What’s Next?</a></li>
|
||
</ul>
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div id="searchbox"></div>
|
||
<article class="bd-article">
|
||
|
||
<section id="student-workflow">
|
||
<h1>Student Workflow<a class="headerlink" href="#student-workflow" title="Link to this heading">#</a></h1>
|
||
<p>This guide explains the actual day-to-day workflow for building your ML framework with TinyTorch.</p>
|
||
<section id="the-core-workflow">
|
||
<h2>The Core Workflow<a class="headerlink" href="#the-core-workflow" title="Link to this heading">#</a></h2>
|
||
<p>TinyTorch follows a simple three-step cycle:</p>
|
||
<pre class="mermaid">
|
||
graph LR
|
||
A[Work in Notebooks<br/>modules/NN_name.ipynb] --> B[Export to Package<br/>tito module complete N]
|
||
B --> C[Validate with Milestones<br/>Run milestone scripts]
|
||
C --> A
|
||
|
||
style A fill:#e3f2fd
|
||
style B fill:#f0fdf4
|
||
style C fill:#fef3c7
|
||
</pre><section id="step-1-edit-modules">
|
||
<h3>Step 1: Edit Modules<a class="headerlink" href="#step-1-edit-modules" title="Link to this heading">#</a></h3>
|
||
<p>Work on module notebooks in <code class="docutils literal notranslate"><span class="pre">modules/</span></code>:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Example: Working on Module 03 (Layers)</span>
|
||
<span class="nb">cd</span><span class="w"> </span>modules/03_layers
|
||
jupyter<span class="w"> </span>lab<span class="w"> </span>03_layers.ipynb
|
||
</pre></div>
|
||
</div>
|
||
<p>Each module is a Jupyter notebook that you edit interactively. You’ll:</p>
|
||
<ul class="simple">
|
||
<li><p>Implement the required functionality</p></li>
|
||
<li><p>Add docstrings and comments</p></li>
|
||
<li><p>Run and test your code inline</p></li>
|
||
<li><p>See immediate feedback</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="step-2-export-to-package">
|
||
<h3>Step 2: Export to Package<a class="headerlink" href="#step-2-export-to-package" title="Link to this heading">#</a></h3>
|
||
<p>Once your module implementation is complete, export it to the main TinyTorch package:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span>MODULE_NUMBER
|
||
</pre></div>
|
||
</div>
|
||
<p>This command:</p>
|
||
<ul class="simple">
|
||
<li><p>Converts your source files to the <code class="docutils literal notranslate"><span class="pre">tinytorch/</span></code> package</p></li>
|
||
<li><p>Validates <a class="reference external" href="https://nbgrader.readthedocs.io/">NBGrader</a> metadata</p></li>
|
||
<li><p>Makes your implementation available for import</p></li>
|
||
</ul>
|
||
<p><strong>Example:</strong></p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></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="w"> </span><span class="c1"># Export Module 03 (Layers)</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>After export, your code is importable:</p>
|
||
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">tinytorch.layers</span><span class="w"> </span><span class="kn">import</span> <span class="n">Linear</span> <span class="c1"># YOUR implementation!</span>
|
||
</pre></div>
|
||
</div>
|
||
</section>
|
||
<section id="step-3-validate-with-milestones">
|
||
<h3>Step 3: Validate with Milestones<a class="headerlink" href="#step-3-validate-with-milestones" title="Link to this heading">#</a></h3>
|
||
<p>Run milestone scripts to prove your implementation works:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></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 Tensor (M01)</span>
|
||
python<span class="w"> </span>02_rosenblatt_trained.py<span class="w"> </span><span class="c1"># Uses YOUR layers (M01-M07)</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>Each milestone has a README explaining:</p>
|
||
<ul class="simple">
|
||
<li><p>Required modules</p></li>
|
||
<li><p>Historical context</p></li>
|
||
<li><p>Expected results</p></li>
|
||
<li><p>What you’re learning</p></li>
|
||
</ul>
|
||
<p>See <a class="reference internal" href="chapters/milestones.html"><span class="std std-doc">Milestones Guide</span></a> for the full progression.</p>
|
||
</section>
|
||
</section>
|
||
<section id="module-progression">
|
||
<h2>Module Progression<a class="headerlink" href="#module-progression" title="Link to this heading">#</a></h2>
|
||
<p>TinyTorch has 20 modules organized in three tiers:</p>
|
||
<section id="foundation-modules-01-07">
|
||
<h3>Foundation (Modules 01-07)<a class="headerlink" href="#foundation-modules-01-07" title="Link to this heading">#</a></h3>
|
||
<p>Core ML infrastructure - tensors, autograd, training loops</p>
|
||
<p><strong>Milestones unlocked:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>M01: Perceptron (after Module 07)</p></li>
|
||
<li><p>M02: XOR Crisis (after Module 07)</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="architecture-modules-08-13">
|
||
<h3>Architecture (Modules 08-13)<a class="headerlink" href="#architecture-modules-08-13" title="Link to this heading">#</a></h3>
|
||
<p>Neural network architectures - data loading, CNNs, transformers</p>
|
||
<p><strong>Milestones unlocked:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>M03: MLPs (after Module 08)</p></li>
|
||
<li><p>M04: CNNs (after Module 09)</p></li>
|
||
<li><p>M05: Transformers (after Module 13)</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="optimization-modules-14-19">
|
||
<h3>Optimization (Modules 14-19)<a class="headerlink" href="#optimization-modules-14-19" title="Link to this heading">#</a></h3>
|
||
<p>Production optimization - profiling, quantization, benchmarking</p>
|
||
<p><strong>Milestones unlocked:</strong></p>
|
||
<ul class="simple">
|
||
<li><p>M06: Torch Olympics (after Module 18)</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="capstone-competition-module-20">
|
||
<h3>Capstone Competition (Module 20)<a class="headerlink" href="#capstone-competition-module-20" title="Link to this heading">#</a></h3>
|
||
<p>Apply all optimizations in the Torch Olympics Competition</p>
|
||
</section>
|
||
</section>
|
||
<section id="typical-development-session">
|
||
<h2>Typical Development Session<a class="headerlink" href="#typical-development-session" title="Link to this heading">#</a></h2>
|
||
<p>Here’s what a typical session looks like:</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/05_autograd
|
||
jupyter<span class="w"> </span>lab<span class="w"> </span>autograd_dev.ipynb
|
||
<span class="c1"># Edit your implementation interactively</span>
|
||
|
||
<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">05</span>
|
||
|
||
<span class="c1"># 3. Validate with existing 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"># Should still work!</span>
|
||
|
||
<span class="c1"># 4. Continue to next module or milestone</span>
|
||
</pre></div>
|
||
</div>
|
||
</section>
|
||
<section id="tito-commands-reference">
|
||
<h2>TITO Commands Reference<a class="headerlink" href="#tito-commands-reference" title="Link to this heading">#</a></h2>
|
||
<p>The most important commands you’ll use:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Export module to package</span>
|
||
tito<span class="w"> </span>module<span class="w"> </span><span class="nb">complete</span><span class="w"> </span>MODULE_NUMBER
|
||
|
||
<span class="c1"># Check module status (optional capability tracking)</span>
|
||
tito<span class="w"> </span>checkpoint<span class="w"> </span>status
|
||
|
||
<span class="c1"># System information</span>
|
||
tito<span class="w"> </span>system<span class="w"> </span>info
|
||
|
||
<span class="c1"># Join community and benchmark</span>
|
||
tito<span class="w"> </span>community<span class="w"> </span>join
|
||
tito<span class="w"> </span>benchmark<span class="w"> </span>baseline
|
||
</pre></div>
|
||
</div>
|
||
<p>For complete command documentation, see <a class="reference internal" href="tito/overview.html"><span class="std std-doc">TITO CLI Reference</span></a>.</p>
|
||
</section>
|
||
<section id="checkpoint-system-optional">
|
||
<h2>Checkpoint System (Optional)<a class="headerlink" href="#checkpoint-system-optional" title="Link to this heading">#</a></h2>
|
||
<p>TinyTorch includes an optional checkpoint system for tracking 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 completion tracking</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>This is helpful for self-assessment but <strong>not required</strong> for the core workflow. The essential cycle remains: edit → export → validate.</p>
|
||
</section>
|
||
<section id="notebook-platform-options">
|
||
<h2>Notebook Platform Options<a class="headerlink" href="#notebook-platform-options" title="Link to this heading">#</a></h2>
|
||
<p>TinyTorch notebooks work with multiple platforms, but <strong>important distinction</strong>:</p>
|
||
<section id="online-notebooks-viewing-exploration">
|
||
<h3>Online Notebooks (Viewing & Exploration)<a class="headerlink" href="#online-notebooks-viewing-exploration" title="Link to this heading">#</a></h3>
|
||
<ul class="simple">
|
||
<li><p><strong>Jupyter/MyBinder</strong>: Click “Launch Binder” on any notebook page - great for viewing</p></li>
|
||
<li><p><strong>Google Colab</strong>: Click “Launch Colab” for GPU access - good for exploration</p></li>
|
||
<li><p><strong>Marimo</strong>: Click “🍃 Open in Marimo” for reactive notebooks - excellent for learning</p></li>
|
||
</ul>
|
||
<p><strong>⚠️ Important</strong>: Online notebooks are for <strong>viewing and learning</strong>. They don’t have the full TinyTorch package installed, so you can’t:</p>
|
||
<ul class="simple">
|
||
<li><p>Run milestone validation scripts</p></li>
|
||
<li><p>Import from <code class="docutils literal notranslate"><span class="pre">tinytorch.*</span></code> modules</p></li>
|
||
<li><p>Execute full experiments</p></li>
|
||
<li><p>Use the complete CLI tools</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="local-setup-required-for-full-package">
|
||
<h3>Local Setup (Required for Full Package)<a class="headerlink" href="#local-setup-required-for-full-package" title="Link to this heading">#</a></h3>
|
||
<p><strong>To actually build and experiment</strong>, you need a <strong>local installation</strong>:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Clone and setup locally</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
|
||
python<span class="w"> </span>-m<span class="w"> </span>venv<span class="w"> </span>.venv
|
||
<span class="nb">source</span><span class="w"> </span>.venv/bin/activate
|
||
pip<span class="w"> </span>install<span class="w"> </span>-r<span class="w"> </span>requirements.txt
|
||
pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>.<span class="w"> </span><span class="c1"># Install TinyTorch package</span>
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>Why local?</strong></p>
|
||
<ul class="simple">
|
||
<li><p>✅ Full <code class="docutils literal notranslate"><span class="pre">tinytorch.*</span></code> package available</p></li>
|
||
<li><p>✅ Run milestone validation scripts</p></li>
|
||
<li><p>✅ Use <code class="docutils literal notranslate"><span class="pre">tito</span></code> CLI commands</p></li>
|
||
<li><p>✅ Execute complete experiments</p></li>
|
||
<li><p>✅ Export modules to package</p></li>
|
||
<li><p>✅ Full development workflow</p></li>
|
||
</ul>
|
||
<p><strong>Note for NBGrader assignments</strong>: Submit <code class="docutils literal notranslate"><span class="pre">.ipynb</span></code> files (not Marimo’s <code class="docutils literal notranslate"><span class="pre">.py</span></code> format) to preserve grading metadata.</p>
|
||
</section>
|
||
</section>
|
||
<section id="community-benchmarking">
|
||
<h2>Community & Benchmarking<a class="headerlink" href="#community-benchmarking" title="Link to this heading">#</a></h2>
|
||
<section id="join-the-community">
|
||
<h3>Join the Community<a class="headerlink" href="#join-the-community" title="Link to this heading">#</a></h3>
|
||
<p>After completing setup, join the global TinyTorch community:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Join with optional information</span>
|
||
tito<span class="w"> </span>community<span class="w"> </span>join
|
||
|
||
<span class="c1"># View your profile and progress</span>
|
||
tito<span class="w"> </span>community<span class="w"> </span>profile
|
||
|
||
<span class="c1"># Update your information</span>
|
||
tito<span class="w"> </span>community<span class="w"> </span>update
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>Privacy:</strong> All information is optional. Data is stored locally in <code class="docutils literal notranslate"><span class="pre">.tinytorch/</span></code> directory. See <a class="reference internal" href="#community.html"><span class="xref myst">Community Guide</span></a> for details.</p>
|
||
</section>
|
||
<section id="benchmark-your-progress">
|
||
<h3>Benchmark Your Progress<a class="headerlink" href="#benchmark-your-progress" title="Link to this heading">#</a></h3>
|
||
<p>Validate your setup and track performance:</p>
|
||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="c1"># Quick baseline benchmark (after setup)</span>
|
||
tito<span class="w"> </span>benchmark<span class="w"> </span>baseline
|
||
|
||
<span class="c1"># Full capstone benchmarks (after Module 20)</span>
|
||
tito<span class="w"> </span>benchmark<span class="w"> </span>capstone<span class="w"> </span>--track<span class="w"> </span>all
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>Baseline Benchmark:</strong> Quick validation that your setup works correctly - your “Hello World” moment!</p>
|
||
<p><strong>Capstone Benchmark:</strong> Full performance evaluation across speed, compression, accuracy, and efficiency tracks.</p>
|
||
<p>See <a class="reference internal" href="#community.html"><span class="xref myst">Community Guide</span></a> for complete community and benchmarking features.</p>
|
||
</section>
|
||
</section>
|
||
<section id="instructor-integration">
|
||
<h2>Instructor Integration<a class="headerlink" href="#instructor-integration" title="Link to this heading">#</a></h2>
|
||
<p>TinyTorch supports <a class="reference external" href="https://nbgrader.readthedocs.io/">NBGrader</a> for classroom use. See the <a class="reference internal" href="usage-paths/classroom-use.html"><span class="std std-doc">Instructor Guide</span></a> for complete setup and grading workflows.</p>
|
||
<p>For now, focus on the student workflow: building your implementations and validating them with milestones.</p>
|
||
</section>
|
||
<section id="whats-next">
|
||
<h2>What’s Next?<a class="headerlink" href="#whats-next" title="Link to this heading">#</a></h2>
|
||
<ol class="arabic simple">
|
||
<li><p><strong>Start with Module 01</strong>: See <a class="reference internal" href="intro.html"><span class="std std-doc">Getting Started</span></a></p></li>
|
||
<li><p><strong>Follow the progression</strong>: Each module builds on previous ones</p></li>
|
||
<li><p><strong>Run milestones</strong>: Prove your implementations work</p></li>
|
||
<li><p><strong>Build intuition</strong>: Understand ML systems from first principles</p></li>
|
||
</ol>
|
||
<p>The goal isn’t just to write code - it’s to <strong>understand</strong> how modern ML frameworks work by building one yourself.</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"
|
||
},
|
||
kernelOptions: {
|
||
name: "python3",
|
||
path: "./."
|
||
},
|
||
predefinedOutput: true
|
||
}
|
||
</script>
|
||
<script>kernelName = 'python3'</script>
|
||
|
||
</article>
|
||
|
||
|
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|
||
|
||
|
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|
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<p class="prev-next-title">TinyTorch for Instructors: Complete ML Systems Course</p>
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|
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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><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#step-1-edit-modules">Step 1: Edit Modules</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#step-2-export-to-package">Step 2: Export to Package</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#step-3-validate-with-milestones">Step 3: Validate with Milestones</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-progression">Module Progression</a><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#foundation-modules-01-07">Foundation (Modules 01-07)</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#architecture-modules-08-13">Architecture (Modules 08-13)</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#optimization-modules-14-19">Optimization (Modules 14-19)</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#capstone-competition-module-20">Capstone Competition (Module 20)</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#typical-development-session">Typical Development Session</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#tito-commands-reference">TITO Commands Reference</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#checkpoint-system-optional">Checkpoint System (Optional)</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#notebook-platform-options">Notebook Platform Options</a><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#online-notebooks-viewing-exploration">Online Notebooks (Viewing & Exploration)</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#local-setup-required-for-full-package">Local Setup (Required for Full Package)</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#community-benchmarking">Community & Benchmarking</a><ul class="nav section-nav flex-column">
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#join-the-community">Join the Community</a></li>
|
||
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#benchmark-your-progress">Benchmark Your Progress</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#instructor-integration">Instructor Integration</a></li>
|
||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#whats-next">What’s Next?</a></li>
|
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</ul>
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<p class="component-author">
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By Prof. Vijay Janapa Reddi (Harvard University)
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© Copyright 2025.
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