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<h1>零 DP 内存优化</h1>
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<p>这是《零<a href="https://papers.labml.ai/paper/1910.02054">：训练一万亿个参数模型的内存优化》一文中介绍的零 DP 的实现</a>，</p>
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<p>它将优化器状态、梯度和参数的分片保存到多个设备/节点中。它减少了原始模型<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1.4608599999999998em;vertical-align:-0.4508599999999999em;"></span><span class="mord"><span class="mopen nulldelimiter"></span><span class="mfrac"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:1.01em;"><span style="top:-2.655em;"><span class="pstrut" style="height:3em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight"><span class="mord mtight coloredeq eqg" style=""><span class="mord mtight" style=""><span class="mord mathnormal mtight" style="margin-right:0.10903em">N</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.3448em;"><span style="top:-2.3487714285714287em;margin-left:-0.10903em;margin-right:0.07142857142857144em;"><span class="pstrut" style="height:2.5em;"></span><span class="sizing reset-size3 size1 mtight" style=""><span class="mord mathnormal mtight" style="">d</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15122857142857138em;"><span></span></span></span></span></span></span></span></span></span></span><span style="top:-3.23em;"><span class="pstrut" style="height:3em;"></span><span class="frac-line" style="border-bottom-width:0.04em;"></span></span><span style="top:-3.485em;"><span class="pstrut" style="height:3em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight"><span class="mopen mtight">(</span><span class="mord mtight coloredeq eqe" style=""><span class="mord mtight" style="">2</span><span class="mbin mtight" style="">+</span><span class="mord mtight" style="">2</span></span><span class="mbin mtight">+</span><span class="mord mtight coloredeq eqi" style=""><span class="mord mathnormal mtight" style="margin-right:0.07153em">K</span></span><span class="mclose mtight">)</span><span class="mord mtight coloredeq eqf" style=""><span class="mord mtight" style="">Ψ</span></span></span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.4508599999999999em;"><span></span></span></span></span></span><span class="mclose nulldelimiter"></span></span></span></span></span></span>的内存消耗，其中<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 eqf" style=""><span class="mord" style="">Ψ</span></span></span></span></span></span>是参数的数量，<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.83333em;vertical-align:-0.15em;"></span><span class="mord coloredeq eqg" style=""><span class="mord" style=""><span class="mord mathnormal" style="margin-right:0.10903em">N</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.33610799999999996em;"><span style="top:-2.5500000000000003em;margin-left:-0.10903em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mathnormal mtight" style="">d</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span></span></span>是分片的数量，<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 eqi" style=""><span class="mord mathnormal" style="margin-right:0.07153em">K</span></span></span></span></span></span>是每个参数的优化器字节数。<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqe" style=""><span class="mord" style="">2</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">+</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">2</span></span></span></span></span></span>是假设精度为 16 位的参数和梯度存储器；即每个参数和梯度为 2 个字节。<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 eqi" style=""><span class="mord mathnormal" style="margin-right:0.07153em">K</span></span><span class="mspace" style="margin-right:0.2777777777777778em;"></span><span class="mrel">=</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span></span><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">12</span></span></span></span></span>对于 Adam 优化器，因为它维护参数的副本，在 fp32 中每个参数两个时刻。</p>
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<p>零 DP 的通信量为<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 mathcal" style="margin-right:0.02778em;">O</span><span class="mopen">(</span><span class="mord">3</span><span class="mord coloredeq eqf" style=""><span class="mord" style="">Ψ</span></span><span class="mclose">)</span></span></span></span></span>。比较而言，数据并行训练的通信量为<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 mathcal" style="margin-right:0.02778em;">O</span><span class="mopen">(</span><span class="mord">2</span><span class="mord coloredeq eqf" style=""><span class="mord" style="">Ψ</span></span><span class="mclose">)</span></span></span></span></span>。</p>
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<p>尽管它被命名了<code class="highlight"><span></span><span class="n">Zero3</span></code>
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，但我们只实现了其中的零 DP 部分，没有实现针对剩余内存消耗的 Zero-R 内存优化。Out 实现仅支持训练一部分参数。</p>
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<p>此实施的灵感来自<a href="https://fairscale.readthedocs.io/en/stable/api/nn/fsdp.html">公平规模的财务安全发展计划</a>。</p>
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<p><a href="finetune_neox.html">以下是使用零 DP 内存优化微调 GPT NeoX 的脚本</a>。</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">32</span><span></span><span class="kn">import</span> <span class="nn">functools</span>
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<span class="lineno">33</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="p">,</span> <span class="n">Tuple</span>
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<span class="lineno">34</span>
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<span class="lineno">35</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">36</span><span class="kn">import</span> <span class="nn">torch.distributed</span> <span class="k">as</span> <span class="nn">dist</span>
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<span class="lineno">37</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span></pre></div>
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</div>
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||
</div>
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<div class='section' id='section-1'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-1'>#</a>
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</div>
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<h2>Zero3 层</h2>
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<p>模型的每一层（或几个连续层的组合）都应该包裹在这个模块中。</p>
|
||
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</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">40</span><span class="k">class</span> <span class="nc">Zero3Layer</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
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||
</div>
|
||
</div>
|
||
<div class='section' id='section-2'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-2'>#</a>
|
||
</div>
|
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<p>每个分片都将参数保存在<code class="highlight"><span></span><span class="n">chunk</span></code>
|
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列表中。用于<code class="highlight"><span></span><span class="n">chunk</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></code>
|
||
可训练的参数，<code class="highlight"><span></span><span class="n">chunk</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span></code>
|
||
用于固定参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">49</span> <span class="n">chunk</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</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>这是<code class="highlight"><span></span><span class="n">chunk</span></code>
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||
列表中区块的大小。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">51</span> <span class="n">chunk_size</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-4'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-4'>#</a>
|
||
</div>
|
||
<p>第一个区块用于可训练的参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">53</span> <span class="n">TRAINING_PARAMS_IDX</span> <span class="o">=</span> <span class="mi">0</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>这是分为可训练参数和固定参数的列表的参数列表。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">56</span> <span class="n">param_refs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</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>CUDA 流到精选参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">59</span> <span class="n">fetch_stream</span><span class="p">:</span> <span class="n">Optional</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">Stream</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>用于备份/累积梯度的 CUDA 流</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">61</span> <span class="n">backup_stream</span><span class="p">:</span> <span class="n">Optional</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">Stream</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>此图层之前的图层列表</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">63</span> <span class="n">prev_layer</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s1">'Zero3Layer'</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>紧随此图层之后的图层列表</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">65</span> <span class="n">next_layer</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s1">'Zero3Layer'</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>当前层的位置；用于调试日志</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">67</span> <span class="n">layer_idx</span><span class="p">:</span> <span class="nb">int</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>参数是否已获取</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">70</span> <span class="n">is_fetched</span><span class="p">:</span> <span class="nb">bool</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>该层的设备</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">73</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</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>图层的数据类型</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">75</span> <span class="n">dtype</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">dtype</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>要封装的模块</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">77</span> <span class="n">module</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</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>分片数据的节点/设备数量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">79</span> <span class="n">world_size</span><span class="p">:</span> <span class="nb">int</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>
|
||
<ul><li><code class="highlight"><span></span><span class="n">module</span></code>
|
||
要封装的模块。</li>
|
||
<li><code class="highlight"><span></span><span class="n">rank</span></code>
|
||
当前节点的等级。</li>
|
||
<li><code class="highlight"><span></span><span class="n">world_size</span></code>
|
||
分片数据的节点/设备数量。</li>
|
||
<li><code class="highlight"><span></span><span class="n">device</span></code>
|
||
层的设备。</li>
|
||
<li><code class="highlight"><span></span><span class="n">dtype</span></code>
|
||
图层的数据类型。</li></ul>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">81</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">module</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">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">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">dtype</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">dtype</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>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">89</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</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>初始化属性</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">92</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">93</span> <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span> <span class="n">dtype</span>
|
||
<span class="lineno">94</span> <span class="bp">self</span><span class="o">.</span><span class="n">module</span> <span class="o">=</span> <span class="n">module</span>
|
||
<span class="lineno">95</span> <span class="bp">self</span><span class="o">.</span><span class="n">prev_layer</span> <span class="o">=</span> <span class="p">[]</span>
|
||
<span class="lineno">96</span> <span class="bp">self</span><span class="o">.</span><span class="n">next_layer</span> <span class="o">=</span> <span class="p">[]</span>
|
||
<span class="lineno">97</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_fetched</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="lineno">98</span> <span class="bp">self</span><span class="o">.</span><span class="n">world_size</span> <span class="o">=</span> <span class="n">world_size</span>
|
||
<span class="lineno">99</span> <span class="bp">self</span><span class="o">.</span><span class="n">layer_idx</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
|
||
<span class="lineno">100</span> <span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="lineno">101</span> <span class="bp">self</span><span class="o">.</span><span class="n">backup_stream</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="lineno">102</span>
|
||
<span class="lineno">103</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>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-19'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-19'>#</a>
|
||
</div>
|
||
<p>收集图层的所有参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">105</span> <span class="n">all_param_refs</span> <span class="o">=</span> <span class="p">[</span><span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">parameters</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>存储参数的形状，因为我们稍后需要它来重建它们</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">108</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">all_param_refs</span><span class="p">:</span>
|
||
<span class="lineno">109</span> <span class="n">p</span><span class="o">.</span><span class="n">_orig_shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">shape</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>所有参数都应具有相同的类型</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">112</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">all_param_refs</span><span class="p">:</span>
|
||
<span class="lineno">113</span> <span class="k">assert</span> <span class="n">p</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">dtype</span><span class="p">,</span> <span class="s2">"All parameters should have same dtype"</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>将参数分为可训练和固定</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">116</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</span> <span class="o">=</span> <span class="p">[[</span><span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">all_param_refs</span> <span class="k">if</span> <span class="n">p</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">],</span>
|
||
<span class="lineno">117</span> <span class="p">[</span><span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">all_param_refs</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">p</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">]]</span>
|
||
<span class="lineno">118</span> <span class="k">del</span> <span class="n">all_param_refs</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-23'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-23'>#</a>
|
||
</div>
|
||
<p>该<code class="highlight"><span></span><span class="n">rank</span> <span class="o">=</span> <span class="mi">0</span></code>
|
||
节点将计算每个设备/节点应存储的大小，并相应地分配参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">122</span> <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</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>合并和填充可训练 (<code class="highlight"><span></span><span class="n">merged_params</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></code>
|
||
) 和 fixed (<code class="highlight"><span></span><span class="n">merged_params</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span></code>
|
||
) 参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">124</span> <span class="n">merged_params</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_merge_and_pad_params</span><span class="p">(</span><span class="n">ps</span><span class="p">)</span> <span class="k">for</span> <span class="n">ps</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</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>计算可训练参数和固定参数的区块大小</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">126</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span> <span class="o">=</span> <span class="p">[(</span><span class="nb">len</span><span class="p">(</span><span class="n">p</span><span class="p">)</span> <span class="o">//</span> <span class="n">world_size</span> <span class="k">if</span> <span class="n">p</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">merged_params</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>广播尺寸</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">128</span> <span class="n">dist</span><span class="o">.</span><span class="n">broadcast</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">),</span> <span class="n">src</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="lineno">129</span> <span class="k">else</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>创建一个空张量来接收大小</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">131</span> <span class="n">chunk_size</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">device</span><span class="o">=</span><span class="n">device</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>收到尺码</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">133</span> <span class="n">dist</span><span class="o">.</span><span class="n">broadcast</span><span class="p">(</span><span class="n">chunk_size</span><span class="p">,</span> <span class="n">src</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="lineno">134</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span> <span class="o">=</span> <span class="n">chunk_size</span><span class="o">.</span><span class="n">tolist</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>为要存储在当前设备/节点中的可训练 (<code class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span></code>
|
||
<code class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span></code>
|
||
) 和 fixed () 参数创建参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">138</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk</span> <span class="o">=</span> <span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="n">s</span><span class="p">,)),</span> <span class="n">requires_grad</span><span class="o">=</span><span class="n">i</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">)</span>
|
||
<span class="lineno">139</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</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>一个空张量，用于接收可训练参数和固定参数的组合</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">142</span> <span class="n">chunk</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">),))</span>
|
||
<span class="lineno">143</span>
|
||
<span class="lineno">144</span> <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</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>连接可训练参数和固定参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">146</span> <span class="n">all_params</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">p</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">world_size</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">merged_params</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">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
|
||
<span class="lineno">147</span> <span class="k">del</span> <span class="n">merged_params</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>将它们分散到所有节点/设备</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">150</span> <span class="n">dist</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">chunk</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="n">all_params</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">))))</span>
|
||
<span class="lineno">151</span> <span class="k">del</span> <span class="n">all_params</span>
|
||
<span class="lineno">152</span> <span class="k">else</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>接收参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">154</span> <span class="n">dist</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">chunk</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>收集区块数据</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">157</span> <span class="n">chunk</span> <span class="o">=</span> <span class="n">chunk</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">)</span>
|
||
<span class="lineno">158</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">c</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">chunk</span><span class="p">):</span>
|
||
<span class="lineno">159</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">c</span>
|
||
<span class="lineno">160</span> <span class="k">del</span> <span class="n">chunk</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-35'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-35'>#</a>
|
||
</div>
|
||
<p>清理普通参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">163</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_params</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>添加一个向后钩子。当计算相对于模块的梯度时，会调用该函数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">166</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook_ref</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">register_full_backward_hook</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook</span><span class="p">)</span> <span class="c1"># type: ignore</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-37'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-37'>#</a>
|
||
</div>
|
||
<h4>合并所有参数并填充它，使其可被整除<code class="highlight"><span></span><span class="n">world_size</span></code>
|
||
。</h4>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">168</span> <span class="k">def</span> <span class="nf">_merge_and_pad_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">params</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">])</span> <span class="o">-></span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</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>参数总数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">173</span> <span class="n">size</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</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>如果它不能被整除<code class="highlight"><span></span><span class="n">world_size</span></code>
|
||
，请填充它</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">176</span> <span class="k">if</span> <span class="n">size</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">world_size</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">177</span> <span class="n">padding_fixed</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">world_size</span> <span class="o">-</span> <span class="p">(</span><span class="n">size</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">world_size</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>否则，无需填充</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">179</span> <span class="k">else</span><span class="p">:</span>
|
||
<span class="lineno">180</span> <span class="n">padding_fixed</span> <span class="o">=</span> <span class="mi">0</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>创建一个空的填充张量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">182</span> <span class="n">padding</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="n">padding_fixed</span><span class="p">,))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-42'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-42'>#</a>
|
||
</div>
|
||
<p>连接所有参数并填充它</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">184</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">([</span><span class="n">p</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="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">padding</span><span class="p">],</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-43'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-43'>#</a>
|
||
</div>
|
||
<h3>获取可训练的参数块/分片。</h3>
|
||
<p>这就是我们传递给当前节点上的优化器的内容。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">186</span> <span class="k">def</span> <span class="nf">get_trainable_chunk</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">List</span><span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</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>如果没有可训练的参数，则返回空列表</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">193</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">194</span> <span class="k">return</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>将可训练区块作为列表返回</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">197</span> <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]]</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-46'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-46'>#</a>
|
||
</div>
|
||
<h4>创建给定形状的空张量。</h4>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">199</span> <span class="k">def</span> <span class="nf">_empty</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">shape</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="o">...</span><span class="p">])</span> <span class="o">-></span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</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>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">203</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-48'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-48'>#</a>
|
||
</div>
|
||
<h4>清理参数数据</h4>
|
||
<p>这将释放层参数使用的所有内存。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">205</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
|
||
<span class="lineno">206</span> <span class="k">def</span> <span class="nf">_cleanup_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</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>设置标志以指示未读取参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">214</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_fetched</span> <span class="o">=</span> <span class="kc">False</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>遍历所有参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">217</span> <span class="k">for</span> <span class="n">ps</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</span><span class="p">:</span>
|
||
<span class="lineno">218</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">ps</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>在进行任何新操作之前，请等待对参数的操作完成</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">220</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">record_stream</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">current_stream</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>检查以确保该参数不与其他任何内容共享存储</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">222</span> <span class="k">assert</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"The tensor is not the sole occupant of the storage."</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>将存储空间调整为<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord coloredeq eqh" style=""><span class="mord" style="">0</span></span></span></span></span></span>。这将释放参数使用的内存。</p>
|
||
<p><strong>设置<code class="highlight"><span></span><span class="n">p</span><span class="o">.</span><span class="n">data</span></code>
|
||
不会释放内存，因为 autograd 图形会保留对它的引用。</strong></p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">226</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">resize_</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="c1"># This is what actually clears the memory</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>确保参数没有梯度数据</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">228</span> <span class="k">assert</span> <span class="n">p</span><span class="o">.</span><span class="n">grad</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">,</span> <span class="s1">'Gradients should be None'</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-55'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-55'>#</a>
|
||
</div>
|
||
<h3>从所有分片中获取参数</h3>
|
||
<p>这将从所有节点获取所有参数数据，并在每个节点上重建参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">230</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
|
||
<span class="lineno">231</span> <span class="k">def</span> <span class="nf">fetch_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-56'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-56'>#</a>
|
||
</div>
|
||
<p>已获取 Skip</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">239</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_fetched</span><span class="p">:</span>
|
||
<span class="lineno">240</span> <span class="k">return</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-57'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-57'>#</a>
|
||
</div>
|
||
<p>设置旗帜</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">243</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_fetched</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-58'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-58'>#</a>
|
||
</div>
|
||
<p>如果没有要获取或共享的内容，请跳过。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">246</span> <span class="k">if</span> <span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">247</span> <span class="k">return</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-59'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-59'>#</a>
|
||
</div>
|
||
<p><code class="highlight"><span></span><span class="n">fetch_stream</span></code>
|
||
使用从所有分片中获取参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">250</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-60'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-60'>#</a>
|
||
</div>
|
||
<p>创建一个空张量来接收参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">252</span> <span class="n">buffer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">world_size</span> <span class="o">*</span> <span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">),))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-61'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-61'>#</a>
|
||
</div>
|
||
<p>将连续缓冲区拆分为节点数。这些拆分是 “缓冲区” 的视图。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">254</span> <span class="n">buffers</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">buffer</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">)))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-62'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-62'>#</a>
|
||
</div>
|
||
<p>连接可训练和固定区块</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">257</span> <span class="n">chunk</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="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-63'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-63'>#</a>
|
||
</div>
|
||
<p>从所有节点/设备收集参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">260</span> <span class="n">dist</span><span class="o">.</span><span class="n">all_gather</span><span class="p">(</span><span class="n">buffers</span><span class="p">,</span> <span class="n">chunk</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-64'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-64'>#</a>
|
||
</div>
|
||
<p>将收集的参数拆分为可训练的和固定的区块</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">263</span> <span class="n">params</span> <span class="o">=</span> <span class="n">buffer</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="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">))</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</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-65'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-65'>#</a>
|
||
</div>
|
||
<p>等待收集操作完成，然后清除对缓冲区的引用</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">265</span> <span class="n">buffer</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span>
|
||
<span class="lineno">266</span> <span class="k">for</span> <span class="n">b</span> <span class="ow">in</span> <span class="n">buffers</span><span class="p">:</span>
|
||
<span class="lineno">267</span> <span class="n">b</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span>
|
||
<span class="lineno">268</span> <span class="n">buffer</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span>
|
||
<span class="lineno">269</span> <span class="k">del</span> <span class="n">buffer</span>
|
||
<span class="lineno">270</span> <span class="k">del</span> <span class="n">buffers</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-66'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-66'>#</a>
|
||
</div>
|
||
<p>将可训练和固定参数重塑为连续张量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">273</span> <span class="n">params</span> <span class="o">=</span> <span class="p">[</span><span class="n">p</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span><span class="p">]</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-67'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-67'>#</a>
|
||
</div>
|
||
<p>收集单个参数张量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">276</span> <span class="k">for</span> <span class="n">cont</span><span class="p">,</span> <span class="n">ps</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">params</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-68'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-68'>#</a>
|
||
</div>
|
||
<p>如果没有参数，请跳过</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">278</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">ps</span><span class="p">:</span>
|
||
<span class="lineno">279</span> <span class="k">continue</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-69'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-69'>#</a>
|
||
</div>
|
||
<p>连续张量的偏移量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">282</span> <span class="n">offset</span> <span class="o">=</span> <span class="mi">0</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-70'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-70'>#</a>
|
||
</div>
|
||
<p>遍历模型参数并分配来自连续张量的值</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">284</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">ps</span><span class="p">:</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-71'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-71'>#</a>
|
||
</div>
|
||
<p>原始参数形状</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">286</span> <span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">_orig_shape</span> <span class="c1"># type: ignore[attr-defined]</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-72'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-72'>#</a>
|
||
</div>
|
||
<p>更改参数的存储大小。这是我们清理参数<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord coloredeq eqh" style=""><span class="mord" style="">0</span></span></span></span></span></span>时设置的。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">288</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">resize_</span><span class="p">(</span><span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">())</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-73'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-73'>#</a>
|
||
</div>
|
||
<p>从连续张量中分配值</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">290</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">cont</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span> <span class="n">offset</span> <span class="o">+</span> <span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">()]</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-74'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-74'>#</a>
|
||
</div>
|
||
<p>等待操作完成后才能执行其他操作</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">292</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-75'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-75'>#</a>
|
||
</div>
|
||
<p>更新偏移量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">294</span> <span class="n">offset</span> <span class="o">+=</span> <span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-76'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-76'>#</a>
|
||
</div>
|
||
<p>等待操作完成后才能执行其他操作</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">297</span> <span class="n">cont</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-77'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-77'>#</a>
|
||
</div>
|
||
<p></p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">300</span> <span class="k">del</span> <span class="n">params</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-78'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-78'>#</a>
|
||
</div>
|
||
<h3>向前传球</h3>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">302</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-79'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-79'>#</a>
|
||
</div>
|
||
<p>获取当前节点的所有参数。这被前一层调用，所以这个调用只是为了确保参数被抓取。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">309</span> <span class="bp">self</span><span class="o">.</span><span class="n">fetch_params</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-80'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-80'>#</a>
|
||
</div>
|
||
<p>等待参数提取完成。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">312</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">current_stream</span><span class="p">()</span><span class="o">.</span><span class="n">wait_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-81'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-81'>#</a>
|
||
</div>
|
||
<p>开始获取后续层的参数，以便它们将获取当前层进行计算的参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">316</span> <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">next_layer</span><span class="p">:</span>
|
||
<span class="lineno">317</span> <span class="n">layer</span><span class="o">.</span><span class="n">fetch_params</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-82'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-82'>#</a>
|
||
</div>
|
||
如果@@ <p>启用了 autograd，则向当前层的参数添加向后挂钩。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">320</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">is_grad_enabled</span><span class="p">():</span>
|
||
<span class="lineno">321</span> <span class="bp">self</span><span class="o">.</span><span class="n">_add_backward_hooks</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-83'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-83'>#</a>
|
||
</div>
|
||
<p>计算当前图层的输出</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">324</span> <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">module</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-84'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-84'>#</a>
|
||
</div>
|
||
<p>清理图层的参数。</p>
|
||
<p><em>如果启用了 autograd，并且这是网络中的最后一层，则跳过清理，因为我们需要再次获取参数才能进行反向传递。</em></p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">330</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">is_grad_enabled</span><span class="p">()</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">next_layer</span><span class="p">:</span>
|
||
<span class="lineno">331</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_params</span><span class="p">()</span>
|
||
<span class="lineno">332</span>
|
||
<span class="lineno">333</span> <span class="k">return</span> <span class="n">res</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-85'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-85'>#</a>
|
||
</div>
|
||
<h4>向当前图层的参数添加向后挂钩。</h4>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">335</span> <span class="k">def</span> <span class="nf">_add_backward_hooks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-86'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-86'>#</a>
|
||
</div>
|
||
<p>添加的向后钩子数量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">341</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook_handles</span> <span class="o">=</span> <span class="mi">0</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-87'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-87'>#</a>
|
||
</div>
|
||
<p>循环浏览当前图层的可训练参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">344</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]:</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-88'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-88'>#</a>
|
||
</div>
|
||
<p>确保尚未添加挂钩</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">346</span> <span class="k">assert</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">"_hook_handle"</span><span class="p">),</span> <span class="s1">'Parameter has already been hooked'</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-89'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-89'>#</a>
|
||
</div>
|
||
<p><code class="highlight"><span></span><span class="n">expand_as</span></code>
|
||
用于创建我们可以拦截的 autograd 步骤</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">348</span> <span class="n">p_tmp</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">expand_as</span><span class="p">(</span><span class="n">p</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-90'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-90'>#</a>
|
||
</div>
|
||
<p>获取一个手柄来添加向后钩。<a href="https://amsword.medium.com/understanding-pytorchs-autograd-with-grad-fn-and-next-functions-b2c4836daa00">这篇博客讨论<code class="highlight"><span></span><span class="n">grad_acc</span></code>
|
||
</a>了.</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">351</span> <span class="n">grad_acc</span> <span class="o">=</span> <span class="n">p_tmp</span><span class="o">.</span><span class="n">grad_fn</span><span class="o">.</span><span class="n">next_functions</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-91'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-91'>#</a>
|
||
</div>
|
||
<p>添加向后挂钩</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">353</span> <span class="n">handle</span> <span class="o">=</span> <span class="n">grad_acc</span><span class="o">.</span><span class="n">register_hook</span><span class="p">(</span>
|
||
<span class="lineno">354</span> <span class="n">functools</span><span class="o">.</span><span class="n">partial</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_post_backward_hook</span><span class="p">,</span> <span class="n">p</span><span class="p">))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-92'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-92'>#</a>
|
||
</div>
|
||
<p>保留对手柄的引用</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">356</span> <span class="n">p</span><span class="o">.</span><span class="n">_hook_handle</span> <span class="o">=</span> <span class="n">handle</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-93'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-93'>#</a>
|
||
</div>
|
||
<p>增加添加的钩子数量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">358</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook_handles</span> <span class="o">+=</span> <span class="mi">1</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-94'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-94'>#</a>
|
||
</div>
|
||
<h4>处理向后事件</h4>
|
||
<p>这被参数反向钩子和模块后向钩子调用。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">360</span> <span class="k">def</span> <span class="nf">_backward_event</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-95'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-95'>#</a>
|
||
</div>
|
||
<p>减少钩子计数器</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">368</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook_handles</span> <span class="o">-=</span> <span class="mi">1</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-96'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-96'>#</a>
|
||
</div>
|
||
<p>如果所有的钩子（包括模块钩子）都被调用了，那么我们可以备份渐变并清理参数。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">372</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_hook_handles</span> <span class="o">==</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
|
||
<span class="lineno">373</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backup_grads</span><span class="p">()</span>
|
||
<span class="lineno">374</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_params</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-97'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-97'>#</a>
|
||
</div>
|
||
<p>开始获取前一图层的参数，因为 autograd 接下来将处理该图层的渐变。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">377</span> <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">prev_layer</span><span class="p">:</span>
|
||
<span class="lineno">378</span> <span class="n">layer</span><span class="o">.</span><span class="n">fetch_params</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-98'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-98'>#</a>
|
||
</div>
|
||
<h4>参数向后挂钩</h4>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">380</span> <span class="k">def</span> <span class="nf">_post_backward_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-99'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-99'>#</a>
|
||
</div>
|
||
<p>从参数中移除句柄</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">385</span> <span class="n">p</span><span class="o">.</span><span class="n">_hook_handle</span><span class="o">.</span><span class="n">remove</span><span class="p">()</span> <span class="c1"># type: ignore[attr-defined]</span>
|
||
<span class="lineno">386</span> <span class="nb">delattr</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">"_hook_handle"</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-100'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-100'>#</a>
|
||
</div>
|
||
<p>处理向后事件</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">389</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_event</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-101'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-101'>#</a>
|
||
</div>
|
||
<h4>模块向后挂钩</h4>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">391</span> <span class="k">def</span> <span class="nf">_backward_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-102'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-102'>#</a>
|
||
</div>
|
||
<p>处理向后事件</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">396</span> <span class="bp">self</span><span class="o">.</span><span class="n">_backward_event</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-103'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-103'>#</a>
|
||
</div>
|
||
<p>上一层将开始计算梯度。我们需要确保它已经完成了参数的获取。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">399</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">current_stream</span><span class="p">()</span><span class="o">.</span><span class="n">wait_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-104'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-104'>#</a>
|
||
</div>
|
||
<p></p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">402</span> <span class="k">return</span> <span class="kc">None</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-105'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-105'>#</a>
|
||
</div>
|
||
<h3>备份当前图层的渐变</h3>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">404</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
|
||
<span class="lineno">405</span> <span class="k">def</span> <span class="nf">_backup_grads</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-106'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-106'>#</a>
|
||
</div>
|
||
<p>如果没有可训练的参数，则跳过</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">410</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">411</span> <span class="k">return</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-107'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-107'>#</a>
|
||
</div>
|
||
<p>使用备份流备份渐变</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">414</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">backup_stream</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-108'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-108'>#</a>
|
||
</div>
|
||
<p>用于存储渐变的缓冲区</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">416</span> <span class="n">buffer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">world_size</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">],))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-109'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-109'>#</a>
|
||
</div>
|
||
<p>将连续缓冲区拆分为多个节点。这些拆分是 “缓冲区” 的视图。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">418</span> <span class="n">buffers</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">buffer</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-110'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-110'>#</a>
|
||
</div>
|
||
<p>连续缓冲区的偏移量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">421</span> <span class="n">offset</span> <span class="o">=</span> <span class="mi">0</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-111'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-111'>#</a>
|
||
</div>
|
||
<p>遍历可训练的参数</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">423</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">param_refs</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]:</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-112'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-112'>#</a>
|
||
</div>
|
||
<p>收集渐变</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">425</span> <span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">_orig_shape</span> <span class="c1"># type: ignore[attr-defined]</span>
|
||
<span class="lineno">426</span> <span class="n">buffer</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span> <span class="n">offset</span> <span class="o">+</span> <span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">()]</span> <span class="o">=</span> <span class="n">p</span><span class="o">.</span><span class="n">grad</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-113'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-113'>#</a>
|
||
</div>
|
||
<p>更新偏移量</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">428</span> <span class="n">offset</span> <span class="o">+=</span> <span class="n">shape</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-114'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-114'>#</a>
|
||
</div>
|
||
<p>清理渐变</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">430</span> <span class="n">p</span><span class="o">.</span><span class="n">grad</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-115'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-115'>#</a>
|
||
</div>
|
||
<p>空张量累积当前分片的梯度</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">433</span> <span class="n">grad</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_empty</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_size</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">],))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-116'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-116'>#</a>
|
||
</div>
|
||
<p>累积每个分片的梯度。它将缓冲区分散到节点上，每个节点累积（减少）它收到的张量。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">436</span> <span class="n">dist</span><span class="o">.</span><span class="n">reduce_scatter</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="n">buffers</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-117'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-117'>#</a>
|
||
</div>
|
||
<p>等待操作完成，然后清除对缓冲区的引用</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">439</span> <span class="k">for</span> <span class="n">b</span> <span class="ow">in</span> <span class="n">buffers</span><span class="p">:</span>
|
||
<span class="lineno">440</span> <span class="n">b</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span>
|
||
<span class="lineno">441</span> <span class="n">buffer</span><span class="o">.</span><span class="n">record_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span><span class="p">)</span>
|
||
<span class="lineno">442</span> <span class="k">del</span> <span class="n">buffer</span>
|
||
<span class="lineno">443</span> <span class="k">del</span> <span class="n">buffers</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-118'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-118'>#</a>
|
||
</div>
|
||
<p>设置分块渐变。这就是优化器所看到的。</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">446</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAINING_PARAMS_IDX</span><span class="p">]</span><span class="o">.</span><span class="n">grad</span> <span class="o">=</span> <span class="n">grad</span>
|
||
<span class="lineno">447</span> <span class="k">del</span> <span class="n">grad</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-119'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-119'>#</a>
|
||
</div>
|
||
<h2><code class="highlight"><span></span><span class="n">Zero3Layer</span></code>
|
||
层的顺序模块</h2>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">450</span><span class="k">class</span> <span class="nc">Zero3Sequential</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-120'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-120'>#</a>
|
||
</div>
|
||
<ul><li><code class="highlight"><span></span><span class="n">modules</span></code>
|
||
<code class="highlight"><span></span><span class="n">Zero3Layer</span></code>
|
||
图层列表</li></ul>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">454</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">modules</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Zero3Layer</span><span class="p">]):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-121'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-121'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">458</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-122'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-122'>#</a>
|
||
</div>
|
||
<p>用于获取参数的 CUDA 流</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">461</span> <span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</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">Stream</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-123'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-123'>#</a>
|
||
</div>
|
||
<p>用于备份（累积）梯度的 CUDA 流</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">463</span> <span class="bp">self</span><span class="o">.</span><span class="n">backup_stream</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">Stream</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-124'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-124'>#</a>
|
||
</div>
|
||
<p>为每个层设置流以及前面和后面的<code class="highlight"><span></span><span class="n">Zero3Layer</span></code>
|
||
层</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">466</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="nb">len</span><span class="p">(</span><span class="n">modules</span><span class="p">)):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-125'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-125'>#</a>
|
||
</div>
|
||
<p>设置图层索引</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">468</span> <span class="n">modules</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">layer_idx</span> <span class="o">=</span> <span class="n">i</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-126'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-126'>#</a>
|
||
</div>
|
||
<p>设置直播</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">470</span> <span class="n">modules</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">fetch_stream</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fetch_stream</span>
|
||
<span class="lineno">471</span> <span class="n">modules</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">backup_stream</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">backup_stream</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-127'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-127'>#</a>
|
||
</div>
|
||
<p>设置后续图层</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">473</span> <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">modules</span><span class="p">):</span>
|
||
<span class="lineno">474</span> <span class="n">modules</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">next_layer</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">modules</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-128'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-128'>#</a>
|
||
</div>
|
||
<p>设置前面的图层</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">476</span> <span class="k">if</span> <span class="n">i</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">477</span> <span class="n">modules</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">prev_layer</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">modules</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-129'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-129'>#</a>
|
||
</div>
|
||
<p>存储模块清单</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">480</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">(</span><span class="n">modules</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-130'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-130'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">482</span> <span class="k">def</span> <span class="nf">get_trainable_chunk</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-131'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-131'>#</a>
|
||
</div>
|
||
<p>返回每层可训练区块的列表</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">484</span> <span class="k">return</span> <span class="nb">sum</span><span class="p">([</span><span class="n">m</span><span class="o">.</span><span class="n">get_trainable_chunk</span><span class="p">()</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="p">],</span> <span class="p">[])</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-132'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-132'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">486</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-133'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-133'>#</a>
|
||
</div>
|
||
<p>确保渐变备份已完成</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">488</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">current_stream</span><span class="p">()</span><span class="o">.</span><span class="n">wait_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">backup_stream</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-134'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-134'>#</a>
|
||
</div>
|
||
<p>向前传球</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">491</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">module_list</span><span class="p">:</span>
|
||
<span class="lineno">492</span> <span class="n">x</span> <span class="o">=</span> <span class="n">m</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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<div class="highlight"><pre><span class="lineno">495</span> <span class="k">return</span> <span class="n">x</span></pre></div>
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