chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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<h1><a href="index.html">Zero3 මතක ප්රශස්තකරණය</a> සමඟ <a href="../../neox/index.html">ජීපීටී-නියෝක්ස්</a> ෆිනෙටුන්</h1>
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<p>මෙමස්ක්රිප්ට් එක <a href="../../neox/model.html">ZERO-DP මතක ප්රශස්තිකරණය සමඟ බහු උපාංගවල ජීපීටී-නියෝක්ස් ආකෘතියේ</a> නැඹුරුව පරාමිතීන් පුහුණු කරයි. </p>
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<div class="highlight"><pre><span class="lineno">14</span><span></span><span class="kn">import</span> <span class="nn">datetime</span>
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<span class="lineno">15</span>
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<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">17</span><span class="kn">import</span> <span class="nn">torch.distributed</span>
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<span class="lineno">18</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">monit</span><span class="p">,</span> <span class="n">tracker</span>
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<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">inspect</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.neox.samples.finetune</span> <span class="kn">import</span> <span class="n">PipelineParallelTrainerConf</span></pre></div>
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<p><a href="../../neox/samples/finetune.html">නල මාර්ග සමාන්තර පුහුණුකරු වින්යාසයන්</a> භාවිතා කර Zero3 මතක ප්රශස්තකරණය සඳහා එය අනුවර්තනය කරන්න. </p>
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<div class="highlight"><pre><span class="lineno">27</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="p">):</span>
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<span class="lineno">28</span> <span class="n">rank</span><span class="p">:</span> <span class="nb">int</span>
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<span class="lineno">29</span> <span class="n">world_size</span><span class="p">:</span> <span class="nb">int</span></pre></div>
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<h4>ආකෘතියසඳහා ප්රශස්තකරණය සකසන්න</h4>
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<p>අපිතියුණු පරාමිතීන් සමත් වන බව සලකන්න <code class="highlight"><span></span><span class="n">get_trainable_chunk</span></code>
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. </p>
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<div class="highlight"><pre><span class="lineno">32</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">'Zero3Adam'</span><span class="p">)</span>
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<span class="lineno">33</span><span class="k">def</span> <span class="nf">_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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<div class="highlight"><pre><span class="lineno">39</span> <span class="kn">from</span> <span class="nn">labml_nn.optimizers.adam_fp16</span> <span class="kn">import</span> <span class="n">AdamFP16</span>
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<span class="lineno">40</span> <span class="k">return</span> <span class="n">AdamFP16</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">get_trainable_chunk</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span></pre></div>
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<h4>Zero3මතක ප්රශස්තකරණය සමඟ ආකෘතිය සාදන්න</h4>
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<div class="highlight"><pre><span class="lineno">43</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">'Zero3'</span><span class="p">)</span>
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<span class="lineno">44</span><span class="k">def</span> <span class="nf">_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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<div class="highlight"><pre><span class="lineno">48</span> <span class="kn">from</span> <span class="nn">labml_nn.scaling.zero3</span> <span class="kn">import</span> <span class="n">Zero3Layer</span><span class="p">,</span> <span class="n">Zero3Sequential</span></pre></div>
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<p>සිහින්සුසරකය පුහුණු කළ හැකි පරාමිතීන් සකස් කරන බවට වග බලා ගැනීම </p>
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<div class="highlight"><pre><span class="lineno">51</span> <span class="n">_</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">fine_tuner</span></pre></div>
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<p>ස්ථරසමඟ ආවරණය කරන්න <code class="highlight"><span></span><span class="n">Zero3Layer</span></code>
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<div class="highlight"><pre><span class="lineno">54</span> <span class="n">modules</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="lineno">55</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">'Zero3'</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</span><span class="p">):</span>
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<span class="lineno">56</span> <span class="n">modules</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Zero3Layer</span><span class="p">(</span><span class="n">m</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">),</span>
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<span class="lineno">57</span> <span class="n">c</span><span class="o">.</span><span class="n">rank</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">world_size</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dtype</span><span class="p">))</span></pre></div>
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<p>අනුක්රමිකආකෘතියක් සාදන්න </p>
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<div class="highlight"><pre><span class="lineno">60</span> <span class="n">model</span> <span class="o">=</span> <span class="n">Zero3Sequential</span><span class="p">(</span><span class="n">modules</span><span class="p">)</span></pre></div>
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<p> </p>
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<div class="highlight"><pre><span class="lineno">63</span> <span class="k">return</span> <span class="n">model</span></pre></div>
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<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
<h4>තරාතිරමසමඟ නෝඩ් මත පුහුණුව ක්රියාත්මක කරන්න <code class="highlight"><span></span><span class="n">rank</span></code>
|
||||
. </h4>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">66</span><span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">rank</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">world_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">init_method</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'tcp://localhost:23456'</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
<p>PyTorchබෙදා හරින ලද ක්රියාවලි සමූහය ආරම්භ කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">71</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'Distributed'</span><span class="p">):</span>
|
||||
<span class="lineno">72</span> <span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">init_process_group</span><span class="p">(</span><span class="s1">'nccl'</span><span class="p">,</span>
|
||||
<span class="lineno">73</span> <span class="n">timeout</span><span class="o">=</span><span class="n">datetime</span><span class="o">.</span><span class="n">timedelta</span><span class="p">(</span><span class="n">seconds</span><span class="o">=</span><span class="mi">30</span><span class="p">),</span>
|
||||
<span class="lineno">74</span> <span class="n">init_method</span><span class="o">=</span><span class="n">init_method</span><span class="p">,</span>
|
||||
<span class="lineno">75</span> <span class="n">rank</span><span class="o">=</span><span class="n">rank</span><span class="p">,</span>
|
||||
<span class="lineno">76</span> <span class="n">world_size</span><span class="o">=</span><span class="n">world_size</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<p>වත්මන්උපාංගය සකසන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">79</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="sa">f</span><span class="s1">'cuda:</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||||
<span class="lineno">80</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">set_device</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<p>අත්හදාබැලීම සාදන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">83</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'zero3_neox'</span><span class="p">,</span> <span class="n">writers</span><span class="o">=</span><span class="p">{</span><span class="s1">'screen'</span><span class="p">,</span> <span class="s1">'labml'</span><span class="p">})</span>
|
||||
<span class="lineno">84</span> <span class="n">experiment</span><span class="o">.</span><span class="n">distributed</span><span class="p">(</span><span class="n">rank</span><span class="p">,</span> <span class="n">world_size</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p>වින්යාසයන්සාදන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">87</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
<p>වින්යාසයන්පූරණය කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">90</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span>
|
||||
<span class="lineno">91</span> <span class="s1">'model'</span><span class="p">:</span> <span class="s1">'Zero3'</span><span class="p">,</span>
|
||||
<span class="lineno">92</span> <span class="s1">'optimizer'</span><span class="p">:</span> <span class="s1">'Zero3Adam'</span><span class="p">,</span>
|
||||
<span class="lineno">93</span>
|
||||
<span class="lineno">94</span> <span class="s1">'device'</span><span class="p">:</span> <span class="n">device</span><span class="p">,</span>
|
||||
<span class="lineno">95</span> <span class="s1">'rank'</span><span class="p">:</span> <span class="n">rank</span><span class="p">,</span>
|
||||
<span class="lineno">96</span> <span class="s1">'world_size'</span><span class="p">:</span> <span class="n">world_size</span><span class="p">,</span>
|
||||
<span class="lineno">97</span>
|
||||
<span class="lineno">98</span> <span class="s1">'learning_rate'</span><span class="p">:</span> <span class="mf">3e-4</span><span class="p">,</span>
|
||||
<span class="lineno">99</span> <span class="s1">'max_seq_len'</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
|
||||
<span class="lineno">100</span> <span class="s1">'batch_size'</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
|
||||
<span class="lineno">101</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>අත්හදාබැලීම ආරම්භ කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">104</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-17'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-17'>#</a>
|
||||
</div>
|
||||
<p>ආකෘතියආරම්භ කරන්න. පිරිසිදු ලොග් සඳහා ලූපයට පෙර මෙය කරන්න. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">106</span> <span class="n">_</span> <span class="o">=</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-18'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
<p>ආකෘතියපුහුණු කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">109</span> <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="n">conf</span><span class="o">.</span><span class="n">epochs</span><span class="p">):</span>
|
||||
<span class="lineno">110</span> <span class="n">conf</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">()</span>
|
||||
<span class="lineno">111</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
<p> </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">115</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
<p>යන්ත්රවින්යාසයන් ලොග් කරන්න </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">117</span> <span class="n">inspect</span><span class="p">([</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_name</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">())])</span>
|
||||
<span class="lineno">118</span> <span class="n">inspect</span><span class="p">(</span>
|
||||
<span class="lineno">119</span> <span class="n">n_gpus</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">(),</span>
|
||||
<span class="lineno">120</span> <span class="n">mpi</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">is_mpi_available</span><span class="p">(),</span>
|
||||
<span class="lineno">121</span> <span class="n">nccl</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">is_nccl_available</span><span class="p">(),</span>
|
||||
<span class="lineno">122</span> <span class="p">)</span>
|
||||
<span class="lineno">123</span>
|
||||
<span class="lineno">124</span> <span class="n">n_gpu</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">()</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-21'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
<p>එක්එක් GPU සඳහා ක්රියාවලියක් ආරම්භ කරන්න. ඔබ බහු පරිගණක භාවිතා කරන්නේ නම් ඔබට වෙනම දියත් කිරීමක් අවශ්ය වේ. </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">127</span> <span class="n">torch</span><span class="o">.</span><span class="n">multiprocessing</span><span class="o">.</span><span class="n">spawn</span><span class="p">(</span><span class="n">main</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">n_gpu</span><span class="p">,),</span> <span class="n">nprocs</span><span class="o">=</span><span class="n">n_gpu</span><span class="p">,</span> <span class="n">join</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='footer'>
|
||||
<a href="https://papers.labml.ai">Trending Research Papers</a>
|
||||
<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>
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user