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View code on Github</a>
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<h1>Evaluation</h1>
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<p>This is the code to test the model on <a href="https://github.com/EleutherAI/lm-evaluation-harness">EleutherAI/lm-evaluation-harness</a>.</p>
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<ul><li><a href="half_precision.html">Evaluating half precision model on a single GPU</a></li></ul>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">15</span><span></span><span class="kn">import</span> <span class="nn">math</span>
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<span class="lineno">16</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
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<span class="lineno">17</span>
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<span class="lineno">18</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">19</span><span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
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<span class="lineno">20</span><span class="kn">from</span> <span class="nn">lm_eval</span> <span class="kn">import</span> <span class="n">tasks</span><span class="p">,</span> <span class="n">evaluator</span><span class="p">,</span> <span class="n">utils</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">lm_eval.base</span> <span class="kn">import</span> <span class="n">BaseLM</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">tokenizers</span> <span class="kn">import</span> <span class="n">Tokenizer</span>
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<span class="lineno">23</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
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<span class="lineno">24</span><span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
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<span class="lineno">25</span>
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<span class="lineno">26</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span>
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<span class="lineno">27</span><span class="kn">from</span> <span class="nn">labml_nn.neox.tokenizer</span> <span class="kn">import</span> <span class="n">get_tokenizer</span></pre></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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<a href='#section-1'>#</a>
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</div>
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<h2>Evaluation Harness Adapter</h2>
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<p>This is based on the <a href="https://github.com/EleutherAI/gpt-neox/blob/main/eval_tasks/eval_adapter.py">adapter from EleutherAI/gpt-neox</a></p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">30</span><span class="k">class</span> <span class="nc">EvalHarnessAdapter</span><span class="p">(</span><span class="n">BaseLM</span><span class="p">):</span></pre></div>
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<div class='section' id='section-2'>
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<div class='docs doc-strings'>
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<ul><li><code class="highlight"><span></span><span class="n">tokenizer</span></code>
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is the <a href="huggingface/tokenizers">Huggingface Tokenizer</a> </li>
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<li><code class="highlight"><span></span><span class="n">vocab_size</span></code>
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is the size of the vocabulary (this differs from the tokenizer vocab size since neox adds some extra to make the embedding layer model parallel.) </li>
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<li><code class="highlight"><span></span><span class="n">batch_size</span></code>
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is the batch size</li></ul>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">37</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Tokenizer</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</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 class='code'>
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<div class="highlight"><pre><span class="lineno">45</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
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<span class="lineno">46</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer</span>
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<span class="lineno">47</span> <span class="bp">self</span><span class="o">.</span><span class="n">_eot_token_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">token_to_id</span><span class="p">(</span><span class="s2">"<|endoftext|>"</span><span class="p">)</span>
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<span class="lineno">48</span> <span class="bp">self</span><span class="o">.</span><span class="n">_vocab_size</span> <span class="o">=</span> <span class="n">vocab_size</span>
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<span class="lineno">49</span>
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<span class="lineno">50</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span> <span class="o">=</span> <span class="n">batch_size</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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<p>Size of the vocabulary </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">52</span> <span class="nd">@property</span>
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<span class="lineno">53</span> <span class="k">def</span> <span class="nf">device</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="lineno">54</span> <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">()</span>
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<span class="lineno">55</span>
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<span class="lineno">56</span> <span class="nd">@property</span>
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<span class="lineno">57</span> <span class="k">def</span> <span class="nf">vocab_size</span><span class="p">(</span><span class="bp">self</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 class='code'>
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<div class="highlight"><pre><span class="lineno">59</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_vocab_size</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 doc-strings'>
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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>End-of-text token </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">61</span> <span class="nd">@property</span>
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<span class="lineno">62</span> <span class="k">def</span> <span class="nf">eot_token_id</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
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</div>
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<div class='docs'>
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<a href='#section-7'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">64</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_eot_token_id</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 doc-strings'>
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<a href='#section-8'>#</a>
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<p>Maximum sequence length </p>
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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="nd">@property</span>
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<span class="lineno">67</span> <span class="k">def</span> <span class="nf">max_length</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
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<div class='section' id='section-9'>
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<div class='docs'>
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<a href='#section-9'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">69</span> <span class="k">return</span> <span class="mi">2048</span></pre></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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<p>Maximum number of tokens to generate </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="nd">@property</span>
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<span class="lineno">72</span> <span class="k">def</span> <span class="nf">max_gen_toks</span><span class="p">(</span><span class="bp">self</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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<div class='code'>
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<div class="highlight"><pre><span class="lineno">74</span> <span class="k">return</span> <span class="mi">128</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 doc-strings'>
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<div class='section-link'>
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<a href='#section-12'>#</a>
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<p> Batch size</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="nd">@property</span>
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<span class="lineno">77</span> <span class="k">def</span> <span class="nf">batch_size</span><span class="p">(</span><span class="bp">self</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 class='code'>
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<div class="highlight"><pre><span class="lineno">81</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span></pre></div>
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</div>
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<div class='section' id='section-14'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-14'>#</a>
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<p> Encode a given text</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="k">def</span> <span class="nf">tok_encode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">string</span><span class="p">:</span> <span class="nb">str</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">87</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="n">string</span><span class="p">)</span><span class="o">.</span><span class="n">ids</span></pre></div>
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</div>
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<div class='section' id='section-16'>
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<div class='docs doc-strings'>
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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> Decode text from token ids</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">89</span> <span class="k">def</span> <span class="nf">tok_decode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokens</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]):</span></pre></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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<a href='#section-17'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">93</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="n">tokens</span><span class="p">)</span></pre></div>
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<div class='section' id='section-18'>
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<div class='docs'>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">95</span> <span class="k">def</span> <span class="nf">_model_call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inps</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
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<span class="lineno">96</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
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<div class='section' id='section-19'>
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<a href='#section-19'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">98</span> <span class="k">def</span> <span class="nf">_model_generate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">,</span> <span class="n">max_length</span><span class="p">,</span> <span class="n">eos_token_id</span><span class="p">):</span>
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<span class="lineno">99</span> <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">()</span></pre></div>
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<div class='section' id='section-20'>
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<a href='#section-20'>#</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">101</span> <span class="k">def</span> <span class="nf">greedy_until</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">requests</span><span class="p">):</span>
|
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<span class="lineno">102</span> <span class="k">raise</span> <span class="ne">RuntimeError</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 doc-strings'>
|
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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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<h3>Get log-likelihoods of the next tokens</h3>
|
|
<ul><li><code class="highlight"><span></span><span class="n">requests</span></code>
|
|
List of requests containing the context and the expected continuation. </li>
|
|
<li><code class="highlight"><span></span><span class="n">disable_tqdm</span></code>
|
|
If True, disable tqdm progress bar.</li></ul>
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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="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
|
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<span class="lineno">105</span> <span class="k">def</span> <span class="nf">_loglikelihood_tokens</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">requests</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">False</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-22'>
|
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-22'>#</a>
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</div>
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<p>For results </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">114</span> <span class="n">res</span> <span class="o">=</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'>
|
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<div class='docs'>
|
|
<div class='section-link'>
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<a href='#section-23'>#</a>
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</div>
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<p>Reorder the requests in the descending order of the lengths, so that sequences with similar lengths are close </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">118</span> <span class="k">def</span> <span class="nf">_collate</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
|
|
<span class="lineno">119</span> <span class="n">toks</span> <span class="o">=</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">x</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
|
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<span class="lineno">120</span> <span class="k">return</span> <span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="n">toks</span><span class="p">),</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">toks</span><span class="p">)</span>
|
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<span class="lineno">121</span>
|
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<span class="lineno">122</span> <span class="n">reord</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">Reorderer</span><span class="p">(</span><span class="n">requests</span><span class="p">,</span> <span class="n">_collate</span><span class="p">)</span></pre></div>
|
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</div>
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</div>
|
|
<div class='section' id='section-24'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
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<a href='#section-24'>#</a>
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</div>
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<p>Loop through requests with <code class="highlight"><span></span><span class="n">batch_size</span></code>
|
|
number of requests at a time </p>
|
|
|
|
</div>
|
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<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">125</span> <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">utils</span><span class="o">.</span><span class="n">chunks</span><span class="p">(</span><span class="n">tqdm</span><span class="p">(</span><span class="n">reord</span><span class="o">.</span><span class="n">get_reordered</span><span class="p">(),</span> <span class="n">disable</span><span class="o">=</span><span class="n">disable_tqdm</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-25'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-25'>#</a>
|
|
</div>
|
|
<p>To store the inputs for the batch </p>
|
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|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">127</span> <span class="n">inps</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-26'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-26'>#</a>
|
|
</div>
|
|
<p>The continuations for the batch </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">129</span> <span class="n">continuations</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-27'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-27'>#</a>
|
|
</div>
|
|
<p>Lengths of the input sequences </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">131</span> <span class="n">inplens</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-28'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-28'>#</a>
|
|
</div>
|
|
<p>Padded length for the batch </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">133</span> <span class="n">padded_length</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-29'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-29'>#</a>
|
|
</div>
|
|
<p>Loop through each request in the chunk and collect them into PyTorch tensors with paddings </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">135</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">context_enc</span><span class="p">,</span> <span class="n">continuation_enc</span> <span class="ow">in</span> <span class="n">chunk</span><span class="p">:</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-30'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-30'>#</a>
|
|
</div>
|
|
<p>Concatenate the context and continuation </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">137</span> <span class="n">inp</span> <span class="o">=</span> <span class="n">context_enc</span> <span class="o">+</span> <span class="n">continuation_enc</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-31'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-31'>#</a>
|
|
</div>
|
|
<p>Truncate from left if the size exceeds the <code class="highlight"><span></span><span class="n">max_length</span></code>
|
|
</p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">139</span> <span class="n">inp</span> <span class="o">=</span> <span class="n">inp</span><span class="p">[</span><span class="o">-</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_length</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-32'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-32'>#</a>
|
|
</div>
|
|
<p>Remove final token </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">141</span> <span class="n">inp</span> <span class="o">=</span> <span class="n">inp</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-33'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-33'>#</a>
|
|
</div>
|
|
<p>Create a tensor </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">143</span> <span class="n">inp</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">inp</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-34'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-34'>#</a>
|
|
</div>
|
|
<p>Input length </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">145</span> <span class="n">inplen</span> <span class="o">=</span> <span class="n">inp</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-35'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-35'>#</a>
|
|
</div>
|
|
<p>Determine the padded length. Shorter sequences will get padded. </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">149</span> <span class="k">if</span> <span class="n">padded_length</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
|
<span class="lineno">150</span> <span class="n">padded_length</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">inplen</span> <span class="o">/</span> <span class="mi">32</span><span class="p">))</span> <span class="o">*</span> <span class="mi">32</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-36'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-36'>#</a>
|
|
</div>
|
|
<p>padded_length = padded_length if padded_length is not None else inplen </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-37'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-37'>#</a>
|
|
</div>
|
|
<p>Padding </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">154</span> <span class="n">padding</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">padded_length</span> <span class="o">-</span> <span class="n">inplen</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-38'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-38'>#</a>
|
|
</div>
|
|
<p>Add padding </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">157</span> <span class="n">inp</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">([</span><span class="n">inp</span><span class="p">,</span> <span class="n">padding</span><span class="p">],</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
|
|
<span class="lineno">158</span>
|
|
<span class="lineno">159</span> <span class="n">inps</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">inp</span><span class="p">)</span>
|
|
<span class="lineno">160</span> <span class="n">continuations</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">continuation_enc</span><span class="p">)</span>
|
|
<span class="lineno">161</span> <span class="n">inplens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">inplen</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-39'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-39'>#</a>
|
|
</div>
|
|
<p>Get model logits </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">164</span> <span class="n">logits</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_model_call</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">inps</span><span class="p">))</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-40'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-40'>#</a>
|
|
</div>
|
|
<p>Get log softmaxes </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">167</span> <span class="n">multi_logits</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-41'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-41'>#</a>
|
|
</div>
|
|
<p>Loop through the input/output pairs of the batch </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">170</span> <span class="k">for</span> <span class="n">logits</span><span class="p">,</span> <span class="n">inplen</span><span class="p">,</span> <span class="n">cont_toks</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">multi_logits</span><span class="p">,</span> <span class="n">inplens</span><span class="p">,</span> <span class="n">continuations</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-42'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-42'>#</a>
|
|
</div>
|
|
<p>Get number of predicted tokens </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">172</span> <span class="n">contlen</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">cont_toks</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-43'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-43'>#</a>
|
|
</div>
|
|
<p>Get logits of those </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">174</span> <span class="n">logits</span> <span class="o">=</span> <span class="n">logits</span><span class="p">[</span><span class="n">inplen</span> <span class="o">-</span> <span class="n">contlen</span><span class="p">:</span> <span class="n">inplen</span><span class="p">]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-44'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-44'>#</a>
|
|
</div>
|
|
<p>Get the tokens with the highest probabilities </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">176</span> <span class="n">greedy_tokens</span> <span class="o">=</span> <span class="n">logits</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-45'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-45'>#</a>
|
|
</div>
|
|
<p>Get the target tokens </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">178</span> <span class="n">cont_toks</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">cont_toks</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">logits</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-46'>
|
|
<div class='docs'>
|
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<div class='section-link'>
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<a href='#section-46'>#</a>
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<p>Whether there's an exact match </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">180</span> <span class="n">max_equal</span> <span class="o">=</span> <span class="p">(</span><span class="n">greedy_tokens</span> <span class="o">==</span> <span class="n">cont_toks</span><span class="p">)</span><span class="o">.</span><span class="n">all</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-47'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-47'>#</a>
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<p>Log-likelihoods of the target tokens </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">182</span> <span class="n">logits</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">cont_toks</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">])</span></pre></div>
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</div>
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<div class='section' id='section-48'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-48'>#</a>
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<p>Add the total log-likelihoods and whether there was a match to the results </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">184</span> <span class="n">res</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="nb">float</span><span class="p">(</span><span class="n">logits</span><span class="o">.</span><span class="n">sum</span><span class="p">()),</span> <span class="nb">bool</span><span class="p">(</span><span class="n">max_equal</span><span class="p">)))</span></pre></div>
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</div>
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<div class='section' id='section-49'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-49'>#</a>
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<p>Re-order and return results </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">187</span> <span class="k">return</span> <span class="n">reord</span><span class="o">.</span><span class="n">get_original</span><span class="p">(</span><span class="n">res</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-50'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-50'>#</a>
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</div>
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<h3>Run given evaluations</h3>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">189</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
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<span class="lineno">190</span> <span class="k">def</span> <span class="nf">run_eval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">eval_tasks</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</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-51'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-51'>#</a>
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</div>
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<p>Run <a href="https://github.com/EleutherAI/lm-evaluation-harness">EleutherAI/lm-evaluation-harness</a> evaluator </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">196</span> <span class="n">results</span> <span class="o">=</span> <span class="n">evaluator</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">lm</span><span class="o">=</span><span class="bp">self</span><span class="p">,</span> <span class="n">task_dict</span><span class="o">=</span><span class="n">tasks</span><span class="o">.</span><span class="n">get_task_dict</span><span class="p">(</span><span class="n">eval_tasks</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-52'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-52'>#</a>
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</div>
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<p>Add 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">199</span> <span class="n">results</span><span class="p">[</span><span class="s2">"config"</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
|
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<span class="lineno">200</span> <span class="s2">"name"</span><span class="p">:</span> <span class="n">name</span><span class="p">,</span>
|
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<span class="lineno">201</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-53'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-53'>#</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">204</span> <span class="k">return</span> <span class="n">results</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-54'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-54'>#</a>
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</div>
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<h2>Evaluation Harness Adapter</h2>
|
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<p>This is based on the <a href="https://github.com/EleutherAI/gpt-neox/blob/main/eval_tasks/eval_adapter.py">adapter from EleutherAI/gpt-neox</a></p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">207</span><span class="k">class</span> <span class="nc">NoeXEvalHarnessAdapter</span><span class="p">(</span><span class="n">EvalHarnessAdapter</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-55'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-55'>#</a>
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</div>
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<ul><li><code class="highlight"><span></span><span class="n">model</span></code>
|
|
is model </li>
|
|
<li><code class="highlight"><span></span><span class="n">tokenizer</span></code>
|
|
is the <a href="huggingface/tokenizers">Huggingface Tokenizer</a> </li>
|
|
<li><code class="highlight"><span></span><span class="n">vocab_size</span></code>
|
|
is the size of the vocabulary (this differs from the tokenizer vocab size since neox adds some extra to make the embedding layer model parallel.) </li>
|
|
<li><code class="highlight"><span></span><span class="n">batch_size</span></code>
|
|
is the batch size </li>
|
|
<li><code class="highlight"><span></span><span class="n">device</span></code>
|
|
is the device of the model</li></ul>
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|
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</div>
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|
<div class='code'>
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|
<div class="highlight"><pre><span class="lineno">214</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Tokenizer</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-56'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
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|
<a href='#section-56'>#</a>
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</div>
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</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">224</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">)</span>
|
|
<span class="lineno">225</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">model</span>
|
|
<span class="lineno">226</span> <span class="bp">self</span><span class="o">.</span><span class="n">_device</span> <span class="o">=</span> <span class="n">device</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-57'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-57'>#</a>
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|
</div>
|
|
<p> Call the model</p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">228</span> <span class="k">def</span> <span class="nf">_model_call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inps</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</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-58'>
|
|
<div class='docs'>
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|
<div class='section-link'>
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|
<a href='#section-58'>#</a>
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</div>
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|
</div>
|
|
<div class='code'>
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|
<div class="highlight"><pre><span class="lineno">232</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">inps</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_device</span><span class="p">))</span></pre></div>
|
|
</div>
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|
</div>
|
|
<div class='section' id='section-59'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-59'>#</a>
|
|
</div>
|
|
<h2>Run evaluation harness with a given model</h2>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">235</span><span class="k">def</span> <span class="nf">run_eval_harness</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">eval_tasks</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">device</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="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-60'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-60'>#</a>
|
|
</div>
|
|
<p>Load the tokenizer </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">241</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">'Load tokenizer'</span><span class="p">):</span>
|
|
<span class="lineno">242</span> <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">get_tokenizer</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-61'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-61'>#</a>
|
|
</div>
|
|
<p>All tasks if nothing is specified </p>
|
|
|
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</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">245</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">eval_tasks</span><span class="p">:</span>
|
|
<span class="lineno">246</span> <span class="n">eval_tasks</span> <span class="o">=</span> <span class="p">[</span>
|
|
<span class="lineno">247</span> <span class="s2">"anli_r1"</span><span class="p">,</span>
|
|
<span class="lineno">248</span> <span class="s2">"anli_r2"</span><span class="p">,</span>
|
|
<span class="lineno">249</span> <span class="s2">"anli_r3"</span><span class="p">,</span>
|
|
<span class="lineno">250</span> <span class="s2">"hellaswag"</span><span class="p">,</span>
|
|
<span class="lineno">251</span> <span class="s2">"lambada"</span><span class="p">,</span>
|
|
<span class="lineno">252</span> <span class="s2">"piqa"</span><span class="p">,</span>
|
|
<span class="lineno">253</span> <span class="s2">"winogrande"</span><span class="p">,</span>
|
|
<span class="lineno">254</span> <span class="s2">"wsc"</span><span class="p">,</span>
|
|
<span class="lineno">255</span> <span class="s2">"mathqa"</span><span class="p">,</span>
|
|
<span class="lineno">256</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-62'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-62'>#</a>
|
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</div>
|
|
<p>Create the adapter </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">259</span> <span class="n">adapter</span> <span class="o">=</span> <span class="n">NoeXEvalHarnessAdapter</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">,</span> <span class="mi">50_432</span><span class="p">,</span> <span class="n">batch_size</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>
|
|
<div class='section' id='section-63'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
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|
<a href='#section-63'>#</a>
|
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</div>
|
|
<p>Run </p>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">262</span> <span class="k">return</span> <span class="n">adapter</span><span class="o">.</span><span class="n">run_eval</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">eval_tasks</span><span class="p">)</span></pre></div>
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