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id="post-【PyTorch】AttributeError-module-torch-nn-has-no-attribute-Flatten"
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<a class="article-title" href="/2020/09/02/%E3%80%90PyTorch%E3%80%91AttributeError-module-torch-nn-has-no-attribute-Flatten/"
>【PyTorch】AttributeError: module 'torch.nn' has no attribute 'Flatten'</a>
</h2>
</header>
<div class="article-meta">
<a href="/2020/09/02/%E3%80%90PyTorch%E3%80%91AttributeError-module-torch-nn-has-no-attribute-Flatten/" class="article-date">
<time datetime="2020-09-02T12:21:09.000Z" itemprop="datePublished">2020-09-02</time>
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<div class="article-entry" itemprop="articleBody">
<h2 id="问题简述"><a href="#问题简述" class="headerlink" title="问题简述"></a>问题简述</h2><p> 当数据集为图像数据，在利用<code>nn.Sequential</code>类构建神经网络时，往往需要先利用<code>nn.Flatten(start_dim=1)</code>将数据展平 —— 使数据集变为矩阵张量（行长度为batch_size，列长度为特征量），但在导入pytorch-cpu库运行以下代码时却遇到异常：AttributeError: module ‘torch.nn’ has no attribute ‘Flatten’。</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> torch.nn <span class="keyword">as</span> nn</span><br><span class="line"></span><br><span class="line">network1 = nn.Sequential(</span><br><span class="line"> nn.Flatten(start_dim=<span class="number">1</span>),</span><br><span class="line"> nn.Linear(in_features=<span class="number">784</span>, out_features=<span class="number">392</span>),</span><br><span class="line"> nn.Linear(in_features=<span class="number">392</span>, out_features=<span class="number">10</span>)</span><br><span class="line">)</span><br></pre></td></tr></table></figure>
<img src="https://gitee.com/WIN0624/document/raw/markdown-picture/img/image-20200902210321845.png" alt="image-20200902210321845" style="zoom: 75%;" />
<h2 id="运行环境"><a href="#运行环境" class="headerlink" title="运行环境"></a>运行环境</h2><ul>
<li><p>pytorch-cpu：1.1.0</p>
<blockquote>
<p>若是使用GPU版，则大概率可以通过升级PyTorch解决此问题</p>
<ul>
<li>pip命令：pip install –upgrade pytorch==1.2.0</li>
<li>conda命令：conda update pytorch==1.2.0</li>
</ul>
</blockquote>
</li>
<li><p>CUDA：None</p>
</li>
</ul>
<h2 id="解决思路"><a href="#解决思路" class="headerlink" title="解决思路"></a>解决思路</h2><ul>
<li><p>Step1. 在PyTorch的Github项目（<a href="https://github.com/pytorch/pytorch）中查询`nn.Flatten`" target="_blank" rel="noopener">https://github.com/pytorch/pytorch）中查询`nn.Flatten`</a></p>
<ul>
<li>发现：Flatten类的对应源码为 nn/Modules/flatten.py</li>
<li>说明：目前PyTorch的版本可能已经进行了相应的更新，可以尝试更新</li>
<li>命令：conda update pytorch-cpu</li>
<li>效果：torch版本依然为1.1.0，且代码依旧报错</li>
</ul>
</li>
<li><p>Step2. 查看nn.Module下其他类是否能够正常运行</p>
<ul>
<li><p>操作：在VS code中输入<code>nn.</code>，看代码提示中是否出现了<code>Linear</code>或<code>BatchNorm2d</code></p>
<img src="https://gitee.com/WIN0624/document/raw/markdown-picture/img/image-20200902204439194.png" width="50%" height="50%">
</li>
<li><p>若正常显示，表示nn.Module类可以正常导入并调用，则<code>Flatten</code>类不能调用的原因是<code>nn.Modules</code>声明包（<code>__init__.py</code>)时没有从flatten.py导入Flatten类，导致在调用nn.Modules包时无法找到Flatten类</p>
</li>
</ul>
</li>
<li><p>Step3. 修改nn.Modules的包声明文件</p>
<ul>
<li><p>修改前，可以看到包声明文件并没有导入Flatten类</p>
<img src="https://gitee.com/WIN0624/document/raw/markdown-picture/img/image-20200902205914747.png" width="70%" height="70%">
</li>
<li><p>在导入部分导入Flatten类</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">from</span> .flatten <span class="keyword">import</span> Flatten</span><br></pre></td></tr></table></figure>
</li>
<li><p>在<code>__all__</code>数组的尾部加入类名，注意以逗号结尾</p>
<img src="https://gitee.com/WIN0624/document/raw/markdown-picture/img/image-20200902210220716.png" width="70%" height="70%">
</li>
</ul>
</li>
</ul>
<h2 id="效果"><a href="#效果" class="headerlink" title="效果"></a>效果</h2><img src="https://gitee.com/WIN0624/document/raw/markdown-picture/img/image-20200902211019703.png" alt="image-20200902211019703" style="zoom:80%;" />
<h2 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h2><ul>
<li><p>问题产生原因</p>
<p> pytorch-cpu的1.1.0版本，其nn.Modules包中有flatten.py文件（定义了Flatten类），但并没有在Modules的包声明文件中导入该类，以致于在调用nn.Modules使无法找到该类。</p>
</li>
<li><p>解决办法</p>
<p> 在Modules的包声明文件导入该类，并在<code>__all__</code>数组中加入该类名</p>
</li>
<li><p>补充说明</p>
<p> 截止2020.09.02，PyTorch还在flatten.py中定义了Unflatten类，而pytorch-cpu的1.1.0版本亦未对此类进行声明，因此也可以依据上述办法解决AttributeError: module ‘torch.nn’ has no attribute ‘Unflatten’ 异常。</p>
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<div class="pswp__preloader__cut">
<div class="pswp__preloader__donut"></div>
</div>
</div>
</div>
</div>
<div class="pswp__share-modal pswp__share-modal--hidden pswp__single-tap">
<div class="pswp__share-tooltip"></div>
</div>
<button class="pswp__button pswp__button--arrow--left" title="Previous (arrow left)">
</button>
<button class="pswp__button pswp__button--arrow--right" title="Next (arrow right)">
</button>
<div class="pswp__caption">
<div class="pswp__caption__center"></div>
</div>
</div>
</div>
</div>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/photoswipe.min.css">
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/default-skin/default-skin.min.css">
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/photoswipe.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/photoswipe-ui-default.min.js"></script>
<script>
function viewer_init() {
let pswpElement = document.querySelectorAll('.pswp')[0];
let $imgArr = document.querySelectorAll(('.article-entry img:not(.reward-img)'))
$imgArr.forEach(($em, i) => {
$em.onclick = () => {
// slider展开状态
// todo: 这样不好，后面改成状态
if (document.querySelector('.left-col.show')) return
let items = []
$imgArr.forEach(($em2, i2) => {
let img = $em2.getAttribute('data-idx', i2)
let src = $em2.getAttribute('data-target') || $em2.getAttribute('src')
let title = $em2.getAttribute('alt')
// 获得原图尺寸
const image = new Image()
image.src = src
items.push({
src: src,
w: image.width || $em2.width,
h: image.height || $em2.height,
title: title
})
})
var gallery = new PhotoSwipe(pswpElement, PhotoSwipeUI_Default, items, {
index: parseInt(i)
});
gallery.init()
}
})
}
viewer_init()
</script>
<!-- MathJax -->
<!-- Katex -->
<!-- busuanzi -->
<script src="/js/busuanzi-2.3.pure.min.js"></script>
<!-- ClickLove -->
<!-- ClickBoom1 -->
<!-- ClickBoom2 -->
<!-- CodeCopy -->
<link rel="stylesheet" href="/css/clipboard.css">
<script src="https://cdn.jsdelivr.net/npm/clipboard@2/dist/clipboard.min.js"></script>
<script>
function wait(callback, seconds) {
var timelag = null;
timelag = window.setTimeout(callback, seconds);
}
!function (e, t, a) {
var initCopyCode = function(){
var copyHtml = '';
copyHtml += '<button class="btn-copy" data-clipboard-snippet="">';
copyHtml += '<i class="ri-file-copy-2-line"></i><span>COPY</span>';
copyHtml += '</button>';
$(".highlight .code pre").before(copyHtml);
$(".article pre code").before(copyHtml);
var clipboard = new ClipboardJS('.btn-copy', {
target: function(trigger) {
return trigger.nextElementSibling;
}
});
clipboard.on('success', function(e) {
let $btn = $(e.trigger);
$btn.addClass('copied');
let $icon = $($btn.find('i'));
$icon.removeClass('ri-file-copy-2-line');
$icon.addClass('ri-checkbox-circle-line');
let $span = $($btn.find('span'));
$span[0].innerText = 'COPIED';
wait(function () { // 等待两秒钟后恢复
$icon.removeClass('ri-checkbox-circle-line');
$icon.addClass('ri-file-copy-2-line');
$span[0].innerText = 'COPY';
}, 2000);
});
clipboard.on('error', function(e) {
e.clearSelection();
let $btn = $(e.trigger);
$btn.addClass('copy-failed');
let $icon = $($btn.find('i'));
$icon.removeClass('ri-file-copy-2-line');
$icon.addClass('ri-time-line');
let $span = $($btn.find('span'));
$span[0].innerText = 'COPY FAILED';
wait(function () { // 等待两秒钟后恢复
$icon.removeClass('ri-time-line');
$icon.addClass('ri-file-copy-2-line');
$span[0].innerText = 'COPY';
}, 2000);
});
}
initCopyCode();
}(window, document);
</script>
<!-- CanvasBackground -->
</div>
</body>
</html>