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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/scaling/zero3/finetune_neox.py" target="_blank">
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View code on Github</a>
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<a href='#section-0'>#</a>
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</div>
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<h1>Finetune <a href="../../neox/index.html">GPT-NeoX</a> with <a href="index.html">Zero3 memory optimizer</a></h1>
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<p>This script trains the bias parameters of the <a href="../../neox/model.html">GPT-NeoX model</a> on multiple devices with Zero-DP Memory Optimization.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">14</span><span></span><span class="kn">import</span> <span class="nn">datetime</span>
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<span class="lineno">15</span>
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<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">17</span><span class="kn">import</span> <span class="nn">torch.distributed</span>
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<span class="lineno">18</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">monit</span><span class="p">,</span> <span class="n">tracker</span>
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<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">inspect</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.neox.samples.finetune</span> <span class="kn">import</span> <span class="n">PipelineParallelTrainerConf</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-1'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-1'>#</a>
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</div>
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<p>Use the <a href="../../neox/samples/finetune.html">Pipeline Parallel Trainer configurations</a> and adapt it for Zero3 memory optimizer. </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">27</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="p">):</span>
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<span class="lineno">28</span> <span class="n">rank</span><span class="p">:</span> <span class="nb">int</span>
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<span class="lineno">29</span> <span class="n">world_size</span><span class="p">:</span> <span class="nb">int</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-2'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-2'>#</a>
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</div>
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<h4>Set the optimizers for the model</h4>
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<p>Note that we pass the sharded parameters from <code class="highlight"><span></span><span class="n">get_trainable_chunk</span></code>
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.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">32</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">'Zero3Adam'</span><span class="p">)</span>
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<span class="lineno">33</span><span class="k">def</span> <span class="nf">_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-3'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">39</span> <span class="kn">from</span> <span class="nn">labml_nn.optimizers.adam_fp16</span> <span class="kn">import</span> <span class="n">AdamFP16</span>
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<span class="lineno">40</span> <span class="k">return</span> <span class="n">AdamFP16</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">get_trainable_chunk</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-4'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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</div>
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<h4>Create the model with Zero3 memory optimizer</h4>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">43</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">'Zero3'</span><span class="p">)</span>
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<span class="lineno">44</span><span class="k">def</span> <span class="nf">_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-5'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-5'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">48</span> <span class="kn">from</span> <span class="nn">labml_nn.scaling.zero3</span> <span class="kn">import</span> <span class="n">Zero3Layer</span><span class="p">,</span> <span class="n">Zero3Sequential</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-6'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-6'>#</a>
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</div>
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<p>To make sure the fine tuner sets the trainable parameters </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">51</span> <span class="n">_</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">fine_tuner</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-7'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-7'>#</a>
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</div>
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<p>Wrap the layers with <code class="highlight"><span></span><span class="n">Zero3Layer</span></code>
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</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">54</span> <span class="n">modules</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="lineno">55</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">'Zero3'</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</span><span class="p">):</span>
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<span class="lineno">56</span> <span class="n">modules</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Zero3Layer</span><span class="p">(</span><span class="n">m</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">),</span>
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<span class="lineno">57</span> <span class="n">c</span><span class="o">.</span><span class="n">rank</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">world_size</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dtype</span><span class="p">))</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-8'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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<p>Create a sequential model </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">60</span> <span class="n">model</span> <span class="o">=</span> <span class="n">Zero3Sequential</span><span class="p">(</span><span class="n">modules</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-9'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-9'>#</a>
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</div>
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<p> </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">63</span> <span class="k">return</span> <span class="n">model</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-10'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-10'>#</a>
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</div>
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<h4>Run the training on the node with rank <code class="highlight"><span></span><span class="n">rank</span></code>
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.</h4>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">66</span><span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">rank</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">world_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">init_method</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'tcp://localhost:23456'</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-11'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-11'>#</a>
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</div>
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<p>Initialize PyTorch distributed process group </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">71</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'Distributed'</span><span class="p">):</span>
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<span class="lineno">72</span> <span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">init_process_group</span><span class="p">(</span><span class="s1">'nccl'</span><span class="p">,</span>
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<span class="lineno">73</span> <span class="n">timeout</span><span class="o">=</span><span class="n">datetime</span><span class="o">.</span><span class="n">timedelta</span><span class="p">(</span><span class="n">seconds</span><span class="o">=</span><span class="mi">30</span><span class="p">),</span>
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<span class="lineno">74</span> <span class="n">init_method</span><span class="o">=</span><span class="n">init_method</span><span class="p">,</span>
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<span class="lineno">75</span> <span class="n">rank</span><span class="o">=</span><span class="n">rank</span><span class="p">,</span>
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<span class="lineno">76</span> <span class="n">world_size</span><span class="o">=</span><span class="n">world_size</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-12'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-12'>#</a>
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</div>
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<p>Set current device </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">79</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="sa">f</span><span class="s1">'cuda:</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
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<span class="lineno">80</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">set_device</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-13'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-13'>#</a>
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</div>
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<p>Create the experiment </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">83</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'zero3_neox'</span><span class="p">,</span> <span class="n">writers</span><span class="o">=</span><span class="p">{</span><span class="s1">'screen'</span><span class="p">,</span> <span class="s1">'labml'</span><span class="p">})</span>
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<span class="lineno">84</span> <span class="n">experiment</span><span class="o">.</span><span class="n">distributed</span><span class="p">(</span><span class="n">rank</span><span class="p">,</span> <span class="n">world_size</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-14'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-14'>#</a>
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</div>
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<p>Create configurations </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">87</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-15'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-15'>#</a>
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</div>
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<p>Load configurations </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">90</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span>
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<span class="lineno">91</span> <span class="s1">'model'</span><span class="p">:</span> <span class="s1">'Zero3'</span><span class="p">,</span>
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<span class="lineno">92</span> <span class="s1">'optimizer'</span><span class="p">:</span> <span class="s1">'Zero3Adam'</span><span class="p">,</span>
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<span class="lineno">93</span>
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<span class="lineno">94</span> <span class="s1">'device'</span><span class="p">:</span> <span class="n">device</span><span class="p">,</span>
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<span class="lineno">95</span> <span class="s1">'rank'</span><span class="p">:</span> <span class="n">rank</span><span class="p">,</span>
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<span class="lineno">96</span> <span class="s1">'world_size'</span><span class="p">:</span> <span class="n">world_size</span><span class="p">,</span>
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<span class="lineno">97</span>
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<span class="lineno">98</span> <span class="s1">'learning_rate'</span><span class="p">:</span> <span class="mf">3e-4</span><span class="p">,</span>
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<span class="lineno">99</span> <span class="s1">'max_seq_len'</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
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<span class="lineno">100</span> <span class="s1">'batch_size'</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
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<span class="lineno">101</span> <span class="p">})</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-16'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-16'>#</a>
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</div>
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<p>Start the experiment </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">104</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-17'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-17'>#</a>
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</div>
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<p>Initialize the model. Do this before the loop for cleaner logs. </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">106</span> <span class="n">_</span> <span class="o">=</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-18'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-18'>#</a>
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</div>
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<p>Train the model </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">109</span> <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="n">conf</span><span class="o">.</span><span class="n">epochs</span><span class="p">):</span>
|
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<span class="lineno">110</span> <span class="n">conf</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">()</span>
|
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<span class="lineno">111</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span></pre></div>
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</div>
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</div>
|
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<div class='section' id='section-19'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-19'>#</a>
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</div>
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<p> </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">115</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-20'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-20'>#</a>
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</div>
|
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<p>Log the machine configurations </p>
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</div>
|
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">117</span> <span class="n">inspect</span><span class="p">([</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_name</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">())])</span>
|
|
<span class="lineno">118</span> <span class="n">inspect</span><span class="p">(</span>
|
|
<span class="lineno">119</span> <span class="n">n_gpus</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">(),</span>
|
|
<span class="lineno">120</span> <span class="n">mpi</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">is_mpi_available</span><span class="p">(),</span>
|
|
<span class="lineno">121</span> <span class="n">nccl</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">is_nccl_available</span><span class="p">(),</span>
|
|
<span class="lineno">122</span> <span class="p">)</span>
|
|
<span class="lineno">123</span>
|
|
<span class="lineno">124</span> <span class="n">n_gpu</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-21'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-21'>#</a>
|
|
</div>
|
|
<p>Start a process for each GPU. You will need a separate launcher if you are using multiple computers. </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">127</span> <span class="n">torch</span><span class="o">.</span><span class="n">multiprocessing</span><span class="o">.</span><span class="n">spawn</span><span class="p">(</span><span class="n">main</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">n_gpu</span><span class="p">,),</span> <span class="n">nprocs</span><span class="o">=</span><span class="n">n_gpu</span><span class="p">,</span> <span class="n">join</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
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