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<h1>Fine Tune GPT-NeoX</h1>
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<p>This shows how to fine tune GPT-NeoX with pipeline parallelism.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">13</span><span></span><span class="kn">import</span> <span class="nn">fairscale</span>
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<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
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<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
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<span class="lineno">17</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
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<span class="lineno">18</span><span class="kn">import</span> <span class="nn">typing</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span><span class="p">,</span> <span class="n">RandomSampler</span>
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<span class="lineno">20</span>
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<span class="lineno">21</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><span class="p">,</span> <span class="n">lab</span>
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<span class="lineno">22</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">23</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">24</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.text_dataset</span> <span class="kn">import</span> <span class="n">get_training_data</span>
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<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.finetune</span> <span class="kn">import</span> <span class="n">FineTuneBiases</span>
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<span class="lineno">26</span><span class="kn">from</span> <span class="nn">labml_nn.neox.model</span> <span class="kn">import</span> <span class="n">LayerGenerator</span><span class="p">,</span> <span class="n">NeoXModule</span>
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<span class="lineno">27</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils</span> <span class="kn">import</span> <span class="n">balance_layers_simple</span>
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<span class="lineno">28</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.trainer</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 doc-strings'>
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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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<h3>Load GPT-NeoX layers</h3>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">31</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">layers</span><span class="p">,</span> <span class="s1">'PipelineBiases'</span><span class="p">)</span>
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<span class="lineno">32</span><span class="k">def</span> <span class="nf">neox_layers</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</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-2'>
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<div class='docs'>
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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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">36</span> <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">LayerGenerator</span><span class="p">(</span><span class="n">is_clone_layers</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_clone_layers</span><span class="p">,</span>
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<span class="lineno">37</span> <span class="n">filter_layers</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">filter_layers</span><span class="p">,</span>
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<span class="lineno">38</span> <span class="n">dtype</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
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<span class="lineno">39</span> <span class="p">)</span><span class="o">.</span><span class="n">load</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 doc-strings'>
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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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<h3>Create fine tuner for biases</h3>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">42</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">fine_tuner</span><span class="p">,</span> <span class="s1">'PipelineBiases'</span><span class="p">)</span>
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<span class="lineno">43</span><span class="k">def</span> <span class="nf">fine_tune_biases</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</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'>
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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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">48</span> <span class="n">fine_tuner</span> <span class="o">=</span> <span class="n">FineTuneBiases</span><span class="p">(</span><span class="n">typing</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">typing</span><span class="o">.</span><span class="n">List</span><span class="p">[</span><span class="n">NeoXModule</span><span class="p">],</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</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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<p>Mark biases as trainable </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">50</span> <span class="n">fine_tuner</span><span class="o">.</span><span class="n">set_trainable_params</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-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> </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">53</span> <span class="k">return</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 doc-strings'>
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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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<h3>Create pipeline parallel model</h3>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">56</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">'PipelineBiases'</span><span class="p">)</span>
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<span class="lineno">57</span><span class="k">def</span> <span class="nf">pipe_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">62</span> <span class="k">if</span> <span class="n">c</span><span class="o">.</span><span class="n">is_checkpointing</span><span class="p">:</span>
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<span class="lineno">63</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span>
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<span class="lineno">64</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">65</span> <span class="n">layers</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</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>Make sure the finetuner is initialized </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">68</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-10'>
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<div class='docs'>
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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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<p>Create the Pipe module </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">'Pipe'</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>Get the layer distribution across GPUs </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">73</span> <span class="n">balance</span> <span class="o">=</span> <span class="n">balance_layers_simple</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">layers</span><span class="p">),</span> <span class="n">c</span><span class="o">.</span><span class="n">n_gpus</span><span class="p">)</span>
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<span class="lineno">74</span> <span class="n">inspect</span><span class="p">(</span><span class="n">balance</span><span class="o">=</span><span class="n">balance</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>Devices for each GPU </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">76</span> <span class="n">devices</span> <span class="o">=</span> <span class="p">[</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">i</span><span class="si">}</span><span class="s1">'</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">c</span><span class="o">.</span><span class="n">n_gpus</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 Fairscale Pipe module </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">78</span> <span class="n">pipe_model</span> <span class="o">=</span> <span class="n">fairscale</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Pipe</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="o">*</span><span class="n">layers</span><span class="p">),</span>
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<span class="lineno">79</span> <span class="n">balance</span><span class="o">=</span><span class="n">balance</span><span class="p">,</span>
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<span class="lineno">80</span> <span class="n">devices</span><span class="o">=</span><span class="n">devices</span><span class="p">,</span>
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<span class="lineno">81</span> <span class="n">chunks</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">chunks</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> </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">84</span> <span class="k">return</span> <span class="n">pipe_model</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 doc-strings'>
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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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<h4>Tiny Shakespeare dataset</h4>
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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="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
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<span class="lineno">88</span><span class="k">def</span> <span class="nf">tiny_shakespeare</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">92</span> <span class="n">dataset</span> <span class="o">=</span> <span class="n">get_training_data</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">max_seq_len</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="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span>
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<span class="lineno">95</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
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<span class="lineno">96</span> <span class="n">sampler</span><span class="o">=</span><span class="n">RandomSampler</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">replacement</span><span class="o">=</span><span class="kc">True</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">99</span><span class="k">def</span> <span class="nf">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-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>Create 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">101</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">'pipe_neox_biases'</span><span class="p">,</span>
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<span class="lineno">102</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">'web_api'</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>Initialize configs </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">105</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">()</span>
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<span class="lineno">106</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">107</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">108</span> <span class="s1">'is_checkpointing'</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
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<span class="lineno">109</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">110</span> <span class="s1">'batch_size'</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
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<span class="lineno">111</span> <span class="s1">'chunks'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
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<span class="lineno">112</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>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">115</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-21'>
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<div class='docs'>
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|
<div class='section-link'>
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|
<a href='#section-21'>#</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">117</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-22'>
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<div class='docs'>
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|
<div class='section-link'>
|
|
<a href='#section-22'>#</a>
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</div>
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<p>Train </p>
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</div>
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<div class='code'>
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|
<div class="highlight"><pre><span class="lineno">120</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">121</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">122</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span>
|
|
<span class="lineno">123</span> <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">conf</span><span class="o">.</span><span class="n">fine_tuner</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span> <span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">'fine_tune.pt'</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-23'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-23'>#</a>
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</div>
|
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<p> </p>
|
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|
|
</div>
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<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">127</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
|
|
<span class="lineno">128</span> <span class="n">main</span><span class="p">()</span></pre></div>
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