chore: import upstream snapshot with attribution
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wehub-resource-sync
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<h1>BERT Embeddings of chunks of text</h1>
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<p>This is the code to get BERT embeddings of chunks for <a href="index.html">RETRO model</a>.</p>
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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">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
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<span class="lineno">14</span>
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<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">16</span><span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">BertTokenizer</span><span class="p">,</span> <span class="n">BertModel</span>
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<span class="lineno">17</span>
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<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span></pre></div>
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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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<h2>BERT Embeddings</h2>
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<p>For a given chunk of text <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.68333em;vertical-align:0em;"></span><span class="mord coloredeq eqb" style=""><span class="mord mathnormal" style="margin-right:0.10903em">N</span></span></span></span></span></span> this class generates BERT embeddings <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord" style=""><span class="mord mathnormal coloredeq eqb" style="margin-right:0.10903em">N</span></span><span class="mclose" style="">)</span></span></span></span></span></span>. <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord" style=""><span class="mord mathnormal coloredeq eqb" style="margin-right:0.10903em">N</span></span><span class="mclose" style="">)</span></span></span></span></span></span> is the average of BERT embeddings of all the tokens in <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.68333em;vertical-align:0em;"></span><span class="mord coloredeq eqb" style=""><span class="mord mathnormal" style="margin-right:0.10903em">N</span></span></span></span></span></span>.</p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">21</span><span class="k">class</span> <span class="nc">BERTChunkEmbeddings</span><span class="p">:</span></pre></div>
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<a href='#section-2'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">29</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">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">):</span>
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<span class="lineno">30</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>
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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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<p>Load the BERT tokenizer from <a href="https://huggingface.co/bert-base-uncased">HuggingFace</a> </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">33</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 BERT tokenizer'</span><span class="p">):</span>
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<span class="lineno">34</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">BertTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="s1">'bert-base-uncased'</span><span class="p">,</span>
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<span class="lineno">35</span> <span class="n">cache_dir</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span>
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<span class="lineno">36</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">'cache'</span> <span class="o">/</span> <span class="s1">'bert-tokenizer'</span><span class="p">))</span></pre></div>
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<div class='section' id='section-4'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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<p>Load the BERT model from <a href="https://huggingface.co/bert-base-uncased">HuggingFace</a> </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">39</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 BERT model'</span><span class="p">):</span>
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<span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">BertModel</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="s2">"bert-base-uncased"</span><span class="p">,</span>
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<span class="lineno">41</span> <span class="n">cache_dir</span><span class="o">=</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">'cache'</span> <span class="o">/</span> <span class="s1">'bert-model'</span><span class="p">))</span></pre></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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<p>Move the model to <code class="highlight"><span></span><span class="n">device</span></code>
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</p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">44</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></pre></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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<p> In this implementation, we do not make chunks with a fixed number of tokens. One of the reasons is that this implementation uses character-level tokens and BERT uses its sub-word tokenizer.</p>
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<p>So this method will truncate the text to make sure there are no partial tokens.</p>
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<p>For instance, a chunk could be like <code class="highlight"><span></span><span class="n">s</span> <span class="n">a</span> <span class="n">popular</span> <span class="n">programming</span> <span class="n">la</span></code>
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, with partial words (partial sub-word tokens) on the ends. We strip them off to get better BERT embeddings. As mentioned earlier this is not necessary if we broke chunks after tokenizing.</p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">46</span> <span class="nd">@staticmethod</span>
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<span class="lineno">47</span> <span class="k">def</span> <span class="nf">_trim_chunk</span><span class="p">(</span><span class="n">chunk</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
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<a href='#section-7'>#</a>
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<p>Strip whitespace </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">61</span> <span class="n">stripped</span> <span class="o">=</span> <span class="n">chunk</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span></pre></div>
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<a href='#section-8'>#</a>
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<p>Break words </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">63</span> <span class="n">parts</span> <span class="o">=</span> <span class="n">stripped</span><span class="o">.</span><span class="n">split</span><span class="p">()</span></pre></div>
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<a href='#section-9'>#</a>
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<p>Remove first and last pieces </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">65</span> <span class="n">stripped</span> <span class="o">=</span> <span class="n">stripped</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">parts</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="n">parts</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])]</span></pre></div>
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<a href='#section-10'>#</a>
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<p>Remove whitespace </p>
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<div class="highlight"><pre><span class="lineno">68</span> <span class="n">stripped</span> <span class="o">=</span> <span class="n">stripped</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span></pre></div>
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<a href='#section-11'>#</a>
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<p>If empty return original string </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">71</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">stripped</span><span class="p">:</span>
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<span class="lineno">72</span> <span class="k">return</span> <span class="n">chunk</span></pre></div>
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<p>Otherwise, return the stripped string </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">74</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">75</span> <span class="k">return</span> <span class="n">stripped</span></pre></div>
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<a href='#section-13'>#</a>
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<h3>Get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord" style=""><span class="mord mathnormal coloredeq eqb" style="margin-right:0.10903em">N</span></span><span class="mclose" style="">)</span></span></span></span></span></span> for a list of chunks.</h3>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">77</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunks</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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<a href='#section-14'>#</a>
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<p>We don't need to compute gradients </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">83</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span></pre></div>
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<a href='#section-15'>#</a>
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<p>Trim the chunks </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">85</span> <span class="n">trimmed_chunks</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_trim_chunk</span><span class="p">(</span><span class="n">c</span><span class="p">)</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">chunks</span><span class="p">]</span></pre></div>
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<div class='section-link'>
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<a href='#section-16'>#</a>
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<p>Tokenize the chunks with BERT tokenizer </p>
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|
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">88</span> <span class="n">tokens</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">trimmed_chunks</span><span class="p">,</span> <span class="n">return_tensors</span><span class="o">=</span><span class="s1">'pt'</span><span class="p">,</span> <span class="n">add_special_tokens</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-17'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<p>Move token ids, attention mask and token types to the device </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">91</span> <span class="n">input_ids</span> <span class="o">=</span> <span class="n">tokens</span><span class="p">[</span><span class="s1">'input_ids'</span><span class="p">]</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>
|
||||
<span class="lineno">92</span> <span class="n">attention_mask</span> <span class="o">=</span> <span class="n">tokens</span><span class="p">[</span><span class="s1">'attention_mask'</span><span class="p">]</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>
|
||||
<span class="lineno">93</span> <span class="n">token_type_ids</span> <span class="o">=</span> <span class="n">tokens</span><span class="p">[</span><span class="s1">'token_type_ids'</span><span class="p">]</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>
|
||||
</div>
|
||||
<div class='section' id='section-18'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
<p>Evaluate the model </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">95</span> <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">input_ids</span><span class="o">=</span><span class="n">input_ids</span><span class="p">,</span>
|
||||
<span class="lineno">96</span> <span class="n">attention_mask</span><span class="o">=</span><span class="n">attention_mask</span><span class="p">,</span>
|
||||
<span class="lineno">97</span> <span class="n">token_type_ids</span><span class="o">=</span><span class="n">token_type_ids</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
<p>Get the token embeddings </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">100</span> <span class="n">state</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="s1">'last_hidden_state'</span><span class="p">]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
<p>Calculate the average token embeddings. Note that the attention mask is <code class="highlight"><span></span><span class="mi">0</span></code>
|
||||
if the token is empty padded. We get empty tokens because the chunks are of different lengths. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">104</span> <span class="n">emb</span> <span class="o">=</span> <span class="p">(</span><span class="n">state</span> <span class="o">*</span> <span class="n">attention_mask</span><span class="p">[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">])</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="n">attention_mask</span><span class="p">[:,</span> <span class="p">:,</span> <span class="kc">None</span><span class="p">]</span><span class="o">.</span><span class="n">sum</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-21'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">107</span> <span class="k">return</span> <span class="n">emb</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-22'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-22'>#</a>
|
||||
</div>
|
||||
<h3>Code to test BERT embeddings</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">110</span><span class="k">def</span> <span class="nf">_test</span><span class="p">():</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-23'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-23'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">114</span> <span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">inspect</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-24'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-24'>#</a>
|
||||
</div>
|
||||
<p>Initialize </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">117</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">'cuda:0'</span><span class="p">)</span>
|
||||
<span class="lineno">118</span> <span class="n">bert</span> <span class="o">=</span> <span class="n">BERTChunkEmbeddings</span><span class="p">(</span><span class="n">device</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>Sample </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">121</span> <span class="n">text</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Replace me by any text you'd like."</span><span class="p">,</span>
|
||||
<span class="lineno">122</span> <span class="s2">"Second sentence"</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>Check BERT tokenizer </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">125</span> <span class="n">encoded_input</span> <span class="o">=</span> <span class="n">bert</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">text</span><span class="p">,</span> <span class="n">return_tensors</span><span class="o">=</span><span class="s1">'pt'</span><span class="p">,</span> <span class="n">add_special_tokens</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||||
<span class="lineno">126</span>
|
||||
<span class="lineno">127</span> <span class="n">inspect</span><span class="p">(</span><span class="n">encoded_input</span><span class="p">,</span> <span class="n">_expand</span><span class="o">=</span><span class="kc">True</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>Check BERT model outputs </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">130</span> <span class="n">output</span> <span class="o">=</span> <span class="n">bert</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">input_ids</span><span class="o">=</span><span class="n">encoded_input</span><span class="p">[</span><span class="s1">'input_ids'</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span>
|
||||
<span class="lineno">131</span> <span class="n">attention_mask</span><span class="o">=</span><span class="n">encoded_input</span><span class="p">[</span><span class="s1">'attention_mask'</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span>
|
||||
<span class="lineno">132</span> <span class="n">token_type_ids</span><span class="o">=</span><span class="n">encoded_input</span><span class="p">[</span><span class="s1">'token_type_ids'</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">))</span>
|
||||
<span class="lineno">133</span>
|
||||
<span class="lineno">134</span> <span class="n">inspect</span><span class="p">({</span><span class="s1">'last_hidden_state'</span><span class="p">:</span> <span class="n">output</span><span class="p">[</span><span class="s1">'last_hidden_state'</span><span class="p">],</span>
|
||||
<span class="lineno">135</span> <span class="s1">'pooler_output'</span><span class="p">:</span> <span class="n">output</span><span class="p">[</span><span class="s1">'pooler_output'</span><span class="p">]},</span>
|
||||
<span class="lineno">136</span> <span class="n">_expand</span><span class="o">=</span><span class="kc">True</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>Check recreating text from token ids </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">139</span> <span class="n">inspect</span><span class="p">(</span><span class="n">bert</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">convert_ids_to_tokens</span><span class="p">(</span><span class="n">encoded_input</span><span class="p">[</span><span class="s1">'input_ids'</span><span class="p">][</span><span class="mi">0</span><span class="p">]),</span> <span class="n">_n</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">140</span> <span class="n">inspect</span><span class="p">(</span><span class="n">bert</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">convert_ids_to_tokens</span><span class="p">(</span><span class="n">encoded_input</span><span class="p">[</span><span class="s1">'input_ids'</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span> <span class="n">_n</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</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>Get chunk embeddings </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">143</span> <span class="n">inspect</span><span class="p">(</span><span class="n">bert</span><span class="p">(</span><span class="n">text</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> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">147</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">148</span> <span class="n">_test</span><span class="p">()</span></pre></div>
|
||||
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||||
<a href='#section-0'>#</a>
|
||||
</div>
|
||||
<h1>Database for nearest neighbor retrieval</h1>
|
||||
<p>This is the build the database and retrieves nearest neighbors for <a href="index.html">RETRO model</a>.</p>
|
||||
<p>We use <a href="https://faiss.ai/">FAISS library</a> for the database whilst the paper had used the SCaNN library.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">16</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span>
|
||||
<span class="lineno">17</span>
|
||||
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">faiss</span>
|
||||
<span class="lineno">19</span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="lineno">20</span><span class="kn">import</span> <span class="nn">torch</span>
|
||||
<span class="lineno">21</span>
|
||||
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span>
|
||||
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.datasets</span> <span class="kn">import</span> <span class="n">TextFileDataset</span>
|
||||
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.retro.bert_embeddings</span> <span class="kn">import</span> <span class="n">BERTChunkEmbeddings</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-1'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-1'>#</a>
|
||||
</div>
|
||||
<h2>Build Database</h2>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">chunk_len</span></code>
|
||||
is the length of a chunk (number of characters) </li>
|
||||
<li><code class="highlight"><span></span><span class="n">batch_size</span></code>
|
||||
is the batch size to use when calculating <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="mclose" style="">)</span></span></span></span></span></span> </li>
|
||||
<li><code class="highlight"><span></span><span class="n">d_emb</span></code>
|
||||
is the number of features in <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="mclose" style="">)</span></span></span></span></span></span> embeddings <a href="https://faiss.ai/cpp_api/struct/structfaiss_1_1IndexIVFPQ.html">lists to select in FAISS index</a> </li>
|
||||
<li><code class="highlight"><span></span><span class="n">n_centeroids</span></code>
|
||||
is the number of lists in the index </li>
|
||||
<li><code class="highlight"><span></span><span class="n">code_size</span></code>
|
||||
encoded vector size in the index </li>
|
||||
<li><code class="highlight"><span></span><span class="n">n_probe</span></code>
|
||||
is the number of lists to probe </li>
|
||||
<li>`n_train' is the number of keys to train the index on</li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">27</span><span class="k">def</span> <span class="nf">build_database</span><span class="p">(</span><span class="n">chunk_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</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">64</span><span class="p">,</span> <span class="n">d_emb</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">768</span><span class="p">,</span> <span class="n">n_centeroids</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">256</span><span class="p">,</span>
|
||||
<span class="lineno">28</span> <span class="n">code_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span> <span class="n">n_probe</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span><span class="p">,</span> <span class="n">n_train</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">50_000</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-2'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-2'>#</a>
|
||||
</div>
|
||||
<p>Load the dataset text file </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">43</span> <span class="n">dataset</span> <span class="o">=</span> <span class="n">TextFileDataset</span><span class="p">(</span>
|
||||
<span class="lineno">44</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">'tiny_shakespeare.txt'</span><span class="p">,</span>
|
||||
<span class="lineno">45</span> <span class="nb">list</span><span class="p">,</span>
|
||||
<span class="lineno">46</span> <span class="n">url</span><span class="o">=</span><span class="s1">'https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt'</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
<p>Get training data (a string) </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">49</span> <span class="n">text</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">train</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
<p>Split the text into chunks of <code class="highlight"><span></span><span class="n">chunk_length</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">52</span> <span class="n">chunks</span> <span class="o">=</span> <span class="p">[</span><span class="n">text</span><span class="p">[</span><span class="n">i</span><span class="p">:</span><span class="n">i</span> <span class="o">+</span> <span class="n">chunk_len</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="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">),</span> <span class="n">chunk_len</span><span class="p">)</span> <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="n">chunk_len</span> <span class="o">*</span> <span class="mi">2</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">)]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-5'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-5'>#</a>
|
||||
</div>
|
||||
<p>Get the offsets of each of the chunks </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">54</span> <span class="n">chunk_offsets</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">i</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="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">),</span> <span class="n">chunk_len</span><span class="p">)</span> <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="n">chunk_len</span> <span class="o">*</span> <span class="mi">2</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">)])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
<p>Number of chunks </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">56</span> <span class="n">n_chunks</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
<p>Initialize BERT to get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="mclose" style="">)</span></span></span></span></span></span> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">59</span> <span class="n">bert</span> <span class="o">=</span> <span class="n">BERTChunkEmbeddings</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="s1">'cuda:0'</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-8'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-8'>#</a>
|
||||
</div>
|
||||
<p>Get chunk embeddings by processing <code class="highlight"><span></span><span class="n">batch_size</span></code>
|
||||
number of chunks on each iteration </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">62</span> <span class="n">chunk_emb</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="lineno">63</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">'Get embeddings'</span><span class="p">,</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_chunks</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">)):</span>
|
||||
<span class="lineno">64</span> <span class="n">chunk_emb</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bert</span><span class="p">(</span><span class="n">chunks</span><span class="p">[</span><span class="n">i</span><span class="p">:</span> <span class="n">i</span> <span class="o">+</span> <span class="n">batch_size</span><span class="p">])</span><span class="o">.</span><span class="n">cpu</span><span class="p">())</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
<p>Merge them into a single tensor </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">66</span> <span class="n">chunk_emb</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">chunk_emb</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="o">.</span><span class="n">numpy</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
<p>Create the <a href="https://faiss.ai/cpp_api/struct/structfaiss_1_1IndexIVFPQ.html">FAISS index</a> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">69</span> <span class="n">quantizer</span> <span class="o">=</span> <span class="n">faiss</span><span class="o">.</span><span class="n">IndexFlatL2</span><span class="p">(</span><span class="n">d_emb</span><span class="p">)</span>
|
||||
<span class="lineno">70</span> <span class="n">index</span> <span class="o">=</span> <span class="n">faiss</span><span class="o">.</span><span class="n">IndexIVFPQ</span><span class="p">(</span><span class="n">quantizer</span><span class="p">,</span> <span class="n">d_emb</span><span class="p">,</span> <span class="n">n_centeroids</span><span class="p">,</span> <span class="n">code_size</span><span class="p">,</span> <span class="mi">8</span><span class="p">)</span>
|
||||
<span class="lineno">71</span> <span class="n">index</span><span class="o">.</span><span class="n">nprobe</span> <span class="o">=</span> <span class="n">n_probe</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
<p>Get a random sample of the the chunk indexes </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">74</span> <span class="n">random_sample</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n_chunks</span><span class="p">),</span> <span class="n">size</span><span class="o">=</span><span class="p">[</span><span class="nb">min</span><span class="p">(</span><span class="n">n_train</span><span class="p">,</span> <span class="n">n_chunks</span><span class="p">)],</span> <span class="n">replace</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<p>Train the index to store the keys </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">77</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">'Train index'</span><span class="p">):</span>
|
||||
<span class="lineno">78</span> <span class="n">index</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">chunk_emb</span><span class="p">[</span><span class="n">random_sample</span><span class="p">])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<p>Add the chunks to the index in batches of size <code class="highlight"><span></span><span class="mi">1024</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">81</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">'Index'</span><span class="p">,</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_chunks</span><span class="p">,</span> <span class="mi">1024</span><span class="p">)):</span>
|
||||
<span class="lineno">82</span> <span class="n">e</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">s</span> <span class="o">+</span> <span class="mi">1024</span><span class="p">,</span> <span class="n">n_chunks</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p>Add to index </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">84</span> <span class="n">index</span><span class="o">.</span><span class="n">add_with_ids</span><span class="p">(</span><span class="n">chunk_emb</span><span class="p">[</span><span class="n">s</span><span class="p">:</span><span class="n">e</span><span class="p">],</span> <span class="n">chunk_offsets</span><span class="p">[</span><span class="n">s</span><span class="p">:</span> <span class="n">e</span><span class="p">])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
<p>Save the index </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">87</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">'Save'</span><span class="p">):</span>
|
||||
<span class="lineno">88</span> <span class="n">faiss</span><span class="o">.</span><span class="n">write_index</span><span class="p">(</span><span class="n">index</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">'retro.index'</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-16'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-16'>#</a>
|
||||
</div>
|
||||
<h2>Index for retrieving nearest neighbors</h2>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">91</span><span class="k">class</span> <span class="nc">RetroIndex</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-17'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">chunk_len</span></code>
|
||||
is the chunk length </li>
|
||||
<li><code class="highlight"><span></span><span class="n">n_probe</span></code>
|
||||
is the number of lists to probe </li>
|
||||
<li><code class="highlight"><span></span><span class="n">n_neighbors</span></code>
|
||||
is the number of neighbors to retrieve </li>
|
||||
<li><code class="highlight"><span></span><span class="n">n_extra</span></code>
|
||||
is the number of extra neighbors to retrieve since we will be removing neighbors overlapping with the query chunk </li>
|
||||
<li><code class="highlight"><span></span><span class="n">exclude_neighbor_span</span></code>
|
||||
is the extra text length to avoid when checking for overlaps</li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">96</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">chunk_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span> <span class="n">n_probe</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span><span class="p">,</span>
|
||||
<span class="lineno">97</span> <span class="n">n_neighbors</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span> <span class="n">n_extra</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span>
|
||||
<span class="lineno">98</span> <span class="n">exclude_neighbor_span</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-18'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">108</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_neighbors</span> <span class="o">=</span> <span class="n">n_neighbors</span>
|
||||
<span class="lineno">109</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span> <span class="o">=</span> <span class="n">chunk_len</span>
|
||||
<span class="lineno">110</span> <span class="bp">self</span><span class="o">.</span><span class="n">exclude_neighbor_span</span> <span class="o">=</span> <span class="n">exclude_neighbor_span</span>
|
||||
<span class="lineno">111</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_extra</span> <span class="o">=</span> <span class="n">n_extra</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
<p>Initialize BERT to get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="mclose" style="">)</span></span></span></span></span></span> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">114</span> <span class="bp">self</span><span class="o">.</span><span class="n">bert</span> <span class="o">=</span> <span class="n">BERTChunkEmbeddings</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="s1">'cuda:0'</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
<p>Load the database </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">116</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 index'</span><span class="p">):</span>
|
||||
<span class="lineno">117</span> <span class="bp">self</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">faiss</span><span class="o">.</span><span class="n">read_index</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">'retro.index'</span><span class="p">))</span>
|
||||
<span class="lineno">118</span> <span class="bp">self</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">nprobe</span> <span class="o">=</span> <span class="n">n_probe</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-21'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
<h4>Filter neighbors that overlap with the query</h4>
|
||||
<p>The positions of the neighbors are given by <code class="highlight"><span></span><span class="n">neighbor_offsets</span></code>
|
||||
and the position of the query chunk is <code class="highlight"><span></span><span class="n">offset</span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">120</span> <span class="k">def</span> <span class="nf">filter_neighbors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">offset</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">neighbor_offsets</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>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-22'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-22'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">127</span> <span class="k">return</span> <span class="p">[</span><span class="n">n</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">neighbor_offsets</span>
|
||||
<span class="lineno">128</span> <span class="k">if</span> <span class="n">n</span> <span class="o"><</span> <span class="n">offset</span> <span class="o">-</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">exclude_neighbor_span</span><span class="p">)</span>
|
||||
<span class="lineno">129</span> <span class="ow">or</span> <span class="n">n</span> <span class="o">></span> <span class="n">offset</span> <span class="o">+</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">exclude_neighbor_span</span><span class="p">)]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-23'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-23'>#</a>
|
||||
</div>
|
||||
<h3>Retrieve nearest neighbors</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">131</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">query_chunks</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">offsets</span><span class="p">:</span> <span class="n">Optional</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>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-24'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-24'>#</a>
|
||||
</div>
|
||||
<p>Get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord coloredeq eqa" style=""><span class="mord text" style=""><span class="mord" style="">B</span><span class="mord sizing reset-size6 size5" style=""><span class="mord" style="">ERT</span></span></span><span class="mopen" style="">(</span><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="mclose" style="">)</span></span></span></span></span></span> of query chunks </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">137</span> <span class="n">emb</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bert</span><span class="p">(</span><span class="n">query_chunks</span><span class="p">)</span><span class="o">.</span><span class="n">cpu</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>Get <code class="highlight"><span></span><span class="n">n_neighbors</span> <span class="o">+</span> <span class="n">n_extra</span></code>
|
||||
nearest neighbors from the database </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">140</span> <span class="n">distance</span><span class="p">,</span> <span class="n">neighbor_offsets</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="n">emb</span><span class="o">.</span><span class="n">numpy</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_neighbors</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_extra</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>If the query chunk offsets are given filter out overlapping chunks </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">143</span> <span class="k">if</span> <span class="n">offsets</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">144</span> <span class="n">neighbor_offsets</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">filter_neighbors</span><span class="p">(</span><span class="n">off</span><span class="p">,</span> <span class="n">n_off</span><span class="p">)</span>
|
||||
<span class="lineno">145</span> <span class="k">for</span> <span class="n">off</span><span class="p">,</span> <span class="n">n_off</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">offsets</span><span class="p">,</span> <span class="n">neighbor_offsets</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>Get the closest <code class="highlight"><span></span><span class="n">n_neighbors</span></code>
|
||||
after filtering </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">148</span> <span class="n">neighbor_offsets</span> <span class="o">=</span> <span class="p">[</span><span class="n">n_off</span><span class="p">[:</span><span class="bp">self</span><span class="o">.</span><span class="n">n_neighbors</span><span class="p">]</span> <span class="k">for</span> <span class="n">n_off</span> <span class="ow">in</span> <span class="n">neighbor_offsets</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> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">151</span> <span class="k">return</span> <span class="n">neighbor_offsets</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> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">155</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">156</span> <span class="n">build_database</span><span class="p">()</span></pre></div>
|
||||
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|
||||
<div id="background"></div>
|
||||
<div class='section'>
|
||||
<div class='docs'>
|
||||
<p>
|
||||
<a class="parent" href="/">home</a>
|
||||
<a class="parent" href="../index.html">transformers</a>
|
||||
<a class="parent" href="index.html">retro</a>
|
||||
</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
|
||||
<img alt="Github"
|
||||
src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
|
||||
style="max-width:100%;"/></a>
|
||||
<a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
|
||||
<img alt="Twitter"
|
||||
src="https://img.shields.io/twitter/follow/labmlai?style=social"
|
||||
style="max-width:100%;"/></a>
|
||||
</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/transformers/retro/dataset.py" target="_blank">
|
||||
View code on Github</a>
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-0'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-0'>#</a>
|
||||
</div>
|
||||
<h1>RETRO training dataset</h1>
|
||||
<p>We pre-retrieve nearest neighbors from the <a href="database.html">key-value database</a> and create the dataset to train the <a href="index.html">RETRO</a> <a href="model.html">model</a>.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">15</span><span></span><span class="kn">import</span> <span class="nn">json</span>
|
||||
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
|
||||
<span class="lineno">17</span>
|
||||
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="lineno">19</span><span class="kn">import</span> <span class="nn">torch</span>
|
||||
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">Dataset</span> <span class="k">as</span> <span class="n">PyTorchDataset</span>
|
||||
<span class="lineno">21</span>
|
||||
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span>
|
||||
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.datasets</span> <span class="kn">import</span> <span class="n">TextFileDataset</span><span class="p">,</span> <span class="n">TextDataset</span>
|
||||
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.retro.database</span> <span class="kn">import</span> <span class="n">RetroIndex</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-1'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-1'>#</a>
|
||||
</div>
|
||||
<h2>Build the dataset</h2>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">chunk_len</span></code>
|
||||
is the chunk length </li>
|
||||
<li><code class="highlight"><span></span><span class="n">chunks_per_sample</span></code>
|
||||
is the number of chunks per training sample </li>
|
||||
<li><code class="highlight"><span></span><span class="n">skip_range</span></code>
|
||||
is the maximum number of characters to skip between two samples. We skip a few characters between samples to make sure the samples aren't aligned perfectly with the chunks in the <a href="database.html">database</a></li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">27</span><span class="k">def</span> <span class="nf">build_dataset</span><span class="p">(</span><span class="n">chunk_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span> <span class="n">chunks_per_sample</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span> <span class="n">skip_range</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-2'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-2'>#</a>
|
||||
</div>
|
||||
<p>Load the text file </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">39</span> <span class="n">dataset</span> <span class="o">=</span> <span class="n">TextFileDataset</span><span class="p">(</span>
|
||||
<span class="lineno">40</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">'tiny_shakespeare.txt'</span><span class="p">,</span>
|
||||
<span class="lineno">41</span> <span class="nb">list</span><span class="p">,</span>
|
||||
<span class="lineno">42</span> <span class="n">url</span><span class="o">=</span><span class="s1">'https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt'</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
<p>Training portion of it </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">45</span> <span class="n">text</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">train</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
<p>Load the index for retrieving neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">48</span> <span class="n">index</span> <span class="o">=</span> <span class="n">RetroIndex</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-5'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-5'>#</a>
|
||||
</div>
|
||||
<p>The input sample offsets </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">51</span> <span class="n">sample_offsets</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
<p>Cursor for the text </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">53</span> <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">54</span> <span class="k">while</span> <span class="n">i</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
<p>Skip a few characters to make sure it's not aligned with the neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">56</span> <span class="n">skip</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">skip_range</span><span class="p">)</span>
|
||||
<span class="lineno">57</span> <span class="n">i</span> <span class="o">+=</span> <span class="n">skip</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-8'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-8'>#</a>
|
||||
</div>
|
||||
<p>Stop if we've reached the end of the text </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">60</span> <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="n">chunks_per_sample</span> <span class="o">*</span> <span class="n">chunk_len</span> <span class="o">></span> <span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">):</span>
|
||||
<span class="lineno">61</span> <span class="k">break</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
<p>Collect the offset </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">64</span> <span class="n">sample_offsets</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">i</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
<p>Increment the cursor </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">67</span> <span class="n">i</span> <span class="o">+=</span> <span class="n">chunks_per_sample</span> <span class="o">*</span> <span class="n">chunk_len</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
<p>For samples </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">70</span> <span class="n">samples</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<p>Iterate through sample offsets </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">72</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">'Gather Neighbors'</span><span class="p">,</span> <span class="n">sample_offsets</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<p>Get the sample including an extra character (for prediction) </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">74</span> <span class="n">sample</span> <span class="o">=</span> <span class="n">text</span><span class="p">[</span><span class="n">i</span><span class="p">:</span> <span class="n">i</span> <span class="o">+</span> <span class="n">chunks_per_sample</span> <span class="o">*</span> <span class="n">chunk_len</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p>The input </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">76</span> <span class="n">src</span> <span class="o">=</span> <span class="n">sample</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-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
<p>Break it into chunks </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">78</span> <span class="n">chunks</span> <span class="o">=</span> <span class="p">[</span><span class="n">src</span><span class="p">[</span><span class="n">j</span><span class="p">:</span><span class="n">j</span> <span class="o">+</span> <span class="n">chunk_len</span><span class="p">]</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">src</span><span class="p">),</span> <span class="n">chunk_len</span><span class="p">)]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-16'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-16'>#</a>
|
||||
</div>
|
||||
<p>The chunk offsets </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">80</span> <span class="n">chunk_offsets</span> <span class="o">=</span> <span class="p">[</span><span class="n">j</span> <span class="o">+</span> <span class="n">i</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">src</span><span class="p">),</span> <span class="n">chunk_len</span><span class="p">)]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-17'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<p>Retrieve nearest neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">83</span> <span class="n">neighbor_offsets</span> <span class="o">=</span> <span class="n">index</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="n">chunk_offsets</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-18'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
<p>Get neighbor texts. The neighbor length is twice the <code class="highlight"><span></span><span class="n">chunk_len</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">86</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="p">[[</span><span class="n">text</span><span class="p">[</span><span class="n">j</span><span class="p">:</span> <span class="n">j</span> <span class="o">+</span> <span class="n">chunk_len</span> <span class="o">*</span> <span class="mi">2</span><span class="p">]</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">n_off</span><span class="p">]</span> <span class="k">for</span> <span class="n">n_off</span> <span class="ow">in</span> <span class="n">neighbor_offsets</span><span class="p">]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
<p>Add to list of samples </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">89</span> <span class="n">samples</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">sample</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">sample</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">neighbors</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
<p>Save the samples in JSON. We don't need to use complex dataset storage mechanisms or pre-tokenize since our dataset is small. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">94</span> <span class="k">with</span> <span class="nb">open</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">'retro_train_dataset.json'</span><span class="p">),</span> <span class="s1">'w'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||||
<span class="lineno">95</span> <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">samples</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-21'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
<h2>Dataset</h2>
|
||||
<p>This is the PyTorch dataset that loads the dataset created by <code class="highlight"><span></span><span class="n">build_dataset</span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">98</span><span class="k">class</span> <span class="nc">Dataset</span><span class="p">(</span><span class="n">PyTorchDataset</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-22'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-22'>#</a>
|
||||
</div>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">file_path</span></code>
|
||||
is the path of the saved JSON file </li>
|
||||
<li><code class="highlight"><span></span><span class="n">tds</span></code>
|
||||
is the <code class="highlight"><span></span><span class="n">TextDataset</span></code>
|
||||
</li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">105</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">file_path</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">tds</span><span class="p">:</span> <span class="n">TextDataset</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-23'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-23'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">111</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span> <span class="o">=</span> <span class="n">tds</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-24'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-24'>#</a>
|
||||
</div>
|
||||
<p>Load the samples </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">113</span> <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">file_path</span><span class="p">),</span> <span class="s1">'r'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||||
<span class="lineno">114</span> <span class="bp">self</span><span class="o">.</span><span class="n">samples</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-25'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-25'>#</a>
|
||||
</div>
|
||||
<p> Number of samples</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">116</span> <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">120</span> <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">samples</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-27'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-27'>#</a>
|
||||
</div>
|
||||
<p> Get a sample</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">122</span> <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">:</span> <span class="nb">int</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>Get the sample </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">127</span> <span class="n">s</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">samples</span><span class="p">[</span><span class="n">idx</span><span class="p">]</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>Tokenize </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">129</span> <span class="n">src</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
||||
<span class="lineno">130</span> <span class="n">tgt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
|
||||
<span class="lineno">131</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</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="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">n</span><span class="p">)</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">chunks</span><span class="p">])</span> <span class="k">for</span> <span class="n">chunks</span> <span class="ow">in</span> <span class="n">s</span><span class="p">[</span><span class="mi">2</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> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">133</span> <span class="k">return</span> <span class="n">src</span><span class="p">,</span> <span class="n">tgt</span><span class="p">,</span> <span class="n">neighbors</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> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">136</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">137</span> <span class="n">build_dataset</span><span class="p">()</span></pre></div>
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<h1>Retrieval-Enhanced Transformer (Retro)</h1>
|
||||
<p>This is a <a href="https://pytorch.org">PyTorch</a> implementation of the paper <a href="https://arxiv.org/abs/2112.04426">Improving language models by retrieving from trillions of tokens</a>.</p>
|
||||
<p>It builds a database of chunks of text. It is a key-value database where the keys are indexed by the BERT embeddings of the chunks. They use a frozen pre-trained BERT model to calculate these embeddings. The values are the corresponding chunks and an equal length of text proceeding that chunk.</p>
|
||||
<p>Then the model retrieves text similar (nearest neighbors) to the input to the model from this database. These retrieved texts are used to predict the output.</p>
|
||||
<p>Since we use a frozen BERT model for retrieval we can pre-calculate all the nearest neighbors for the training dataset. This speeds up the training process.</p>
|
||||
<p>Components:</p>
|
||||
<ul><li><a href="bert_embeddings.html">BERT embeddings</a>: Code to get BERT embeddings of chunks of text. </li>
|
||||
<li><a href="database.html">Key-value database</a>: Build and retrieve chunks </li>
|
||||
<li><a href="model.html">Model</a> </li>
|
||||
<li><a href="dataset.html">Dataset</a>: Pre-calculate the nearest neighbors </li>
|
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<li><a href="train.html">Training code</a></li></ul>
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<p>
|
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<a class="parent" href="/">home</a>
|
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<a class="parent" href="../index.html">transformers</a>
|
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<a class="parent" href="index.html">retro</a>
|
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</p>
|
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<p>
|
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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
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<img alt="Github"
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src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/transformers/retro/train.py" target="_blank">
|
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View code on Github</a>
|
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<div class='section-link'>
|
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<a href='#section-0'>#</a>
|
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</div>
|
||||
<h1>RETRO training</h1>
|
||||
<p>This is the training code for <a href="index.html">RETRO</a>.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">14</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
|
||||
<span class="lineno">15</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span><span class="p">,</span> <span class="n">lab</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">logger</span>
|
||||
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">Text</span>
|
||||
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.datasets</span> <span class="kn">import</span> <span class="n">TextFileDataset</span>
|
||||
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml_nn.optimizers.noam</span> <span class="kn">import</span> <span class="n">Noam</span>
|
||||
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.retro</span> <span class="kn">import</span> <span class="n">model</span> <span class="k">as</span> <span class="n">retro</span>
|
||||
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.retro.dataset</span> <span class="kn">import</span> <span class="n">Dataset</span><span class="p">,</span> <span class="n">RetroIndex</span>
|
||||
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.retro.model</span> <span class="kn">import</span> <span class="n">RetroModel</span><span class="p">,</span> <span class="n">NearestNeighborEncoder</span>
|
||||
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
|
||||
<span class="lineno">23</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></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-1'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-1'>#</a>
|
||||
</div>
|
||||
<h2>Sampler</h2>
|
||||
<p>This class greedily samples from a model.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">26</span><span class="k">class</span> <span class="nc">Sampler</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-2'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-2'>#</a>
|
||||
</div>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">device</span></code>
|
||||
is the device of the model </li>
|
||||
<li><code class="highlight"><span></span><span class="n">model</span></code>
|
||||
is the <a href="retro.html">Retro mode</a> </li>
|
||||
<li><code class="highlight"><span></span><span class="n">tds</span></code>
|
||||
is the text dataset (used to get neighbor chunks) </li>
|
||||
<li><code class="highlight"><span></span><span class="n">chunk_len</span></code>
|
||||
is the length of a chunk</li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">33</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">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">model</span><span class="p">:</span> <span class="n">retro</span><span class="o">.</span><span class="n">RetroModel</span><span class="p">,</span> <span class="n">tds</span><span class="p">:</span> <span class="n">TextFileDataset</span><span class="p">,</span> <span class="n">chunk_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span> <span class="o">=</span> <span class="n">chunk_len</span>
|
||||
<span class="lineno">41</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span> <span class="o">=</span> <span class="n">tds</span>
|
||||
<span class="lineno">42</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">43</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-4'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
<p><a href="database.html">Retro index</a> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">46</span> <span class="bp">self</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">RetroIndex</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-5'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-5'>#</a>
|
||||
</div>
|
||||
<h3>Retrieve nearest neighbors of a given chunk</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">48</span> <span class="k">def</span> <span class="nf">retrieve_nearest_neighbours</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
<p>Retrieve the offsets of the nearest neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">54</span> <span class="n">neighbor_offsets</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">index</span><span class="p">([</span><span class="n">chunk</span><span class="p">],</span> <span class="kc">None</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
<p>Get the neighbors (with neighbor length equal to <code class="highlight"><span></span><span class="n">chunk_len</span> <span class="o">*</span> <span class="mi">2</span></code>
|
||||
) </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">57</span> <span class="n">text</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">train</span>
|
||||
<span class="lineno">58</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="p">[</span><span class="n">text</span><span class="p">[</span><span class="n">j</span><span class="p">:</span> <span class="n">j</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span> <span class="o">*</span> <span class="mi">2</span><span class="p">]</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">neighbor_offsets</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-8'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-8'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">61</span> <span class="k">return</span> <span class="n">neighbors</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
<h3>Sample text from the given prompt</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">63</span> <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">prompt</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">sample_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
<p>To store nearest neighbors as strings </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">69</span> <span class="n">neighbors_str</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
<p>Sampled text </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">72</span> <span class="n">sampled</span> <span class="o">=</span> <span class="s1">''</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<p>Sample <code class="highlight"><span></span><span class="n">sample_len</span></code>
|
||||
tokens </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">75</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">sample_len</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<p>We need to retrieve neighbors, if there are more sampled chunks than we have already retrieved for </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">78</span> <span class="k">while</span> <span class="nb">len</span><span class="p">(</span><span class="n">neighbors_str</span><span class="p">)</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">prompt</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p>Get the last chunk for which we haven't retrieved neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">80</span> <span class="n">off</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">neighbors_str</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span>
|
||||
<span class="lineno">81</span> <span class="n">chunk</span> <span class="o">=</span> <span class="n">prompt</span><span class="p">[</span><span class="n">off</span><span class="p">:</span> <span class="n">off</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_len</span><span class="p">]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
<p>Retrieve nearest neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">83</span> <span class="n">neighbors_str</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">retrieve_nearest_neighbours</span><span class="p">(</span><span class="n">chunk</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-16'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-16'>#</a>
|
||||
</div>
|
||||
<p>Tokenize the input </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">86</span> <span class="n">src</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">prompt</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-17'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<p>Tokenize the retrieved neighbors </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">88</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</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="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">n</span><span class="p">)</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">chunk</span><span class="p">])</span> <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">neighbors_str</span><span class="p">])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-18'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
<p>Move them to the same device as the model </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">91</span> <span class="n">src</span> <span class="o">=</span> <span class="n">src</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>
|
||||
<span class="lineno">92</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="n">neighbors</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>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
<p>Get model output </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">95</span> <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">src</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="p">:],</span> <span class="n">neighbors</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="p">:])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
<p>Greedily sample the last token </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">98</span> <span class="n">token</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</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-21'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
<p>Add the sampled token text to the prompt and sample text </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">101</span> <span class="n">prompt</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">token</span><span class="o">.</span><span class="n">item</span><span class="p">()]</span>
|
||||
<span class="lineno">102</span> <span class="n">sampled</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tds</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">token</span><span class="o">.</span><span class="n">item</span><span class="p">()]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-22'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-22'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">105</span> <span class="k">return</span> <span class="n">sampled</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-23'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-23'>#</a>
|
||||
</div>
|
||||
<h2>Retro trainer</h2>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">108</span><span class="k">class</span> <span class="nc">Trainer</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-24'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-24'>#</a>
|
||||
</div>
|
||||
<ul><li><code class="highlight"><span></span><span class="n">device</span></code>
|
||||
is the device of the model </li>
|
||||
<li><code class="highlight"><span></span><span class="n">model</span></code>
|
||||
is the <a href="retro.html">Retro mode</a> </li>
|
||||
<li><code class="highlight"><span></span><span class="n">dataloader</span></code>
|
||||
is the dataloader for the <a href="dataset.html">dataset with pre-retrieved neighbors</a> </li>
|
||||
<li><code class="highlight"><span></span><span class="n">optimizer</span></code>
|
||||
is the optimizer</li></ul>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">113</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">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">model</span><span class="p">:</span> <span class="n">retro</span><span class="o">.</span><span class="n">RetroModel</span><span class="p">,</span>
|
||||
<span class="lineno">114</span> <span class="n">dataloader</span><span class="p">:</span> <span class="n">DataLoader</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Optimizer</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">121</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optimizer</span>
|
||||
<span class="lineno">122</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">device</span>
|
||||
<span class="lineno">123</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataloader</span> <span class="o">=</span> <span class="n">dataloader</span>
|
||||
<span class="lineno">124</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">125</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-26'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-26'>#</a>
|
||||
</div>
|
||||
<h3>Train the model for an epoch</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">127</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</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>Iterate through training data </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">133</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">tgt</span><span class="p">,</span> <span class="n">neighbors</span><span class="p">)</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">enum</span><span class="p">(</span><span class="s1">'Train'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataloader</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>Move data to the device </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">135</span> <span class="n">src</span><span class="p">,</span> <span class="n">tgt</span><span class="p">,</span> <span class="n">neighbors</span> <span class="o">=</span> <span class="n">src</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> <span class="n">tgt</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> <span class="n">neighbors</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>
|
||||
</div>
|
||||
<div class='section' id='section-29'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-29'>#</a>
|
||||
</div>
|
||||
<p>Forward pass </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">138</span> <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">neighbors</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>Calculate loss </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">140</span> <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span> <span class="n">tgt</span><span class="o">.</span><span class="n">view</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-31'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-31'>#</a>
|
||||
</div>
|
||||
<p>Clear the gradients </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">143</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</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>Backward pass </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">145</span> <span class="n">loss</span><span class="o">.</span><span class="n">backward</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>Optimize the model </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">147</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</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>Save training statistics and increment the global step counter </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">150</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">({</span><span class="s1">'loss.train'</span><span class="p">:</span> <span class="n">loss</span><span class="p">})</span>
|
||||
<span class="lineno">151</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">src</span><span class="p">))</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-35'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-35'>#</a>
|
||||
</div>
|
||||
<h2>Create and train a small model</h2>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">154</span><span class="k">def</span> <span class="nf">train</span><span class="p">():</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>Create an experiment </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">160</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">'retro_small'</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-37'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-37'>#</a>
|
||||
</div>
|
||||
<p>GPU device </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">163</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">'cuda:0'</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>Load Tiny Shakespeare dataset </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">166</span> <span class="n">tds</span> <span class="o">=</span> <span class="n">TextFileDataset</span><span class="p">(</span>
|
||||
<span class="lineno">167</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">'tiny_shakespeare.txt'</span><span class="p">,</span>
|
||||
<span class="lineno">168</span> <span class="nb">list</span><span class="p">,</span>
|
||||
<span class="lineno">169</span> <span class="n">url</span><span class="o">=</span><span class="s1">'https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt'</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>Load <a href="dataset.html">Retro dataset</a> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">172</span> <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">Dataset</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">'retro_train_dataset.json'</span><span class="p">,</span> <span class="n">tds</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>Create dataloader </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">175</span> <span class="n">train_dl</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">train_dataset</span><span class="p">,</span>
|
||||
<span class="lineno">176</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
|
||||
<span class="lineno">177</span> <span class="n">sampler</span><span class="o">=</span><span class="n">RandomSampler</span><span class="p">(</span><span class="n">train_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>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-41'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-41'>#</a>
|
||||
</div>
|
||||
<p>Hyper-parameters </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">180</span> <span class="n">chunk_len</span> <span class="o">=</span> <span class="mi">16</span>
|
||||
<span class="lineno">181</span> <span class="n">d_model</span> <span class="o">=</span> <span class="mi">128</span>
|
||||
<span class="lineno">182</span> <span class="n">d_ff</span> <span class="o">=</span> <span class="mi">512</span>
|
||||
<span class="lineno">183</span> <span class="n">n_heads</span> <span class="o">=</span> <span class="mi">16</span>
|
||||
<span class="lineno">184</span> <span class="n">d_k</span> <span class="o">=</span> <span class="mi">16</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>Create the nearest neighbor encoder </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">187</span> <span class="n">nearest_neighbor_encoder</span> <span class="o">=</span> <span class="n">NearestNeighborEncoder</span><span class="p">(</span><span class="n">chunk_len</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="p">{</span><span class="mi">3</span><span class="p">},</span> <span class="n">d_model</span><span class="p">,</span> <span class="n">n_heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">d_ff</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>Create the model </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">189</span> <span class="n">model</span> <span class="o">=</span> <span class="n">RetroModel</span><span class="p">(</span><span class="n">tds</span><span class="o">.</span><span class="n">n_tokens</span><span class="p">,</span> <span class="n">d_model</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span>
|
||||
<span class="lineno">190</span> <span class="p">{</span><span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">},</span>
|
||||
<span class="lineno">191</span> <span class="n">chunk_len</span><span class="p">,</span> <span class="n">n_heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">d_ff</span><span class="p">,</span>
|
||||
<span class="lineno">192</span> <span class="n">encoder</span><span class="o">=</span><span class="n">nearest_neighbor_encoder</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>Move the model to the device </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">194</span> <span class="n">model</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</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>Create the optimizer </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">196</span> <span class="n">optimizer</span> <span class="o">=</span> <span class="n">Noam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">1.</span><span class="p">,</span> <span class="n">d_model</span><span class="o">=</span><span class="n">d_model</span><span class="p">,</span> <span class="n">warmup</span><span class="o">=</span><span class="mi">2_000</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-46'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-46'>#</a>
|
||||
</div>
|
||||
<p>Create the <code class="highlight"><span></span><span class="n">Trainer</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">198</span> <span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">train_dl</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-47'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-47'>#</a>
|
||||
</div>
|
||||
<p>Create the <code class="highlight"><span></span><span class="n">Sampler</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">200</span> <span class="n">sampler</span> <span class="o">=</span> <span class="n">Sampler</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">tds</span><span class="p">,</span> <span class="n">chunk_len</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-48'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-48'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">202</span> <span class="n">prompt</span> <span class="o">=</span> <span class="s1">'''Second Citizen:</span><span class="se">\n</span><span class="s1">One word, good citizens.</span><span class="se">\n\n</span><span class="s1">First Citizen:'''</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-49'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-49'>#</a>
|
||||
</div>
|
||||
<p>Set models for saving and loading </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">205</span> <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-50'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-50'>#</a>
|
||||
</div>
|
||||
<p>Start the experiment </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">208</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>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-51'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-51'>#</a>
|
||||
</div>
|
||||
<p>Train for <code class="highlight"><span></span><span class="mi">32</span></code>
|
||||
epochs </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">210</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="mi">32</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-52'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-52'>#</a>
|
||||
</div>
|
||||
<p>Train </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">212</span> <span class="n">trainer</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-53'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-53'>#</a>
|
||||
</div>
|
||||
<p>Print a new line </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">214</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-54'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-54'>#</a>
|
||||
</div>
|
||||
<p>Sample from the <code class="highlight"><span></span><span class="n">prompt</span></code>
|
||||
</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">216</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">([(</span><span class="n">prompt</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">,</span> <span class="s1">'</span><span class="se">\\</span><span class="s1">n</span><span class="se">\n</span><span class="s1">'</span><span class="p">),</span> <span class="n">Text</span><span class="o">.</span><span class="n">subtle</span><span class="p">),</span>
|
||||
<span class="lineno">217</span> <span class="p">(</span><span class="n">sampler</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span> <span class="mi">128</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">,</span> <span class="s1">'</span><span class="se">\\</span><span class="s1">n</span><span class="se">\n</span><span class="s1">'</span><span class="p">),</span> <span class="n">Text</span><span class="o">.</span><span class="n">none</span><span class="p">)])</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-55'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-55'>#</a>
|
||||
</div>
|
||||
<p>Save models </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-56'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-56'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">222</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">223</span> <span class="n">train</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='footer'>
|
||||
<a href="https://labml.ai">labml.ai</a>
|
||||
</div>
|
||||
</div>
|
||||
<script src=../../interactive.js?v=1"></script>
|
||||
<script>
|
||||
function handleImages() {
|
||||
var images = document.querySelectorAll('p>img')
|
||||
|
||||
for (var i = 0; i < images.length; ++i) {
|
||||
handleImage(images[i])
|
||||
}
|
||||
}
|
||||
|
||||
function handleImage(img) {
|
||||
img.parentElement.style.textAlign = 'center'
|
||||
|
||||
var modal = document.createElement('div')
|
||||
modal.id = 'modal'
|
||||
|
||||
var modalContent = document.createElement('div')
|
||||
modal.appendChild(modalContent)
|
||||
|
||||
var modalImage = document.createElement('img')
|
||||
modalContent.appendChild(modalImage)
|
||||
|
||||
var span = document.createElement('span')
|
||||
span.classList.add('close')
|
||||
span.textContent = 'x'
|
||||
modal.appendChild(span)
|
||||
|
||||
img.onclick = function () {
|
||||
console.log('clicked')
|
||||
document.body.appendChild(modal)
|
||||
modalImage.src = img.src
|
||||
}
|
||||
|
||||
span.onclick = function () {
|
||||
document.body.removeChild(modal)
|
||||
}
|
||||
}
|
||||
|
||||
handleImages()
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
Reference in New Issue
Block a user