{"id":9534,"date":"2024-07-31T00:38:12","date_gmt":"2024-07-30T16:38:12","guid":{"rendered":"https:\/\/17aitech.com\/?p=9534"},"modified":"2024-10-08T15:13:03","modified_gmt":"2024-10-08T07:13:03","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day18%ef%bc%9aseq2seq%e7%9a%84%e6%b7%b1%e5%85%a5%e4%ba%86%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=9534","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day18\uff1aSeq2Seq\u7684\u6df1\u5165\u4e86\u89e3"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%89%8D%E8%A8%80\" >\u524d\u8a00<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E6%A1%86%E6%9E%B6%E5%9B%BE\" >\u6846\u67b6\u56fe<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%B7%A5%E7%A8%8B%E7%9B%AE%E5%BD%95%E7%BB%93%E6%9E%84\" >\u5de5\u7a0b\u76ee\u5f55\u7ed3\u6784<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E6%A0%B8%E5%BF%83%E9%80%BB%E8%BE%91\" >\u6838\u5fc3\u903b\u8f91<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%88%9D%E5%A7%8B%E5%8C%96%E8%BF%87%E7%A8%8B\" >\u521d\u59cb\u5316\u8fc7\u7a0b<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/17aitech.com\/?p=9534\/#Build_dict\" >Build_dict()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/17aitech.com\/?p=9534\/#encoder\" >encoder<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/17aitech.com\/?p=9534\/#decoder\" >decoder<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\" >\u8bad\u7ec3\u8fc7\u7a0b<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E8%B0%83%E7%94%A8collate_fn\" >\u8c03\u7528collate_fn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%85%B7%E4%BD%93%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\" >\u5177\u4f53\u8bad\u7ec3\u8fc7\u7a0b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E6%89%8B%E5%8A%A8%E5%BE%AA%E7%8E%AF%E8%BF%9B%E8%A1%8C%E6%AD%A3%E5%90%91%E6%8E%A8%E7%90%86\" >\u624b\u52a8\u5faa\u73af\u8fdb\u884c\u6b63\u5411\u63a8\u7406<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\" >\u8865\u5145\u77e5\u8bc6<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=9534\/#tqdm\" >tqdm<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%AE%9A%E4%B9%89\" >\u5b9a\u4e49<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%AE%89%E8%A3%85%E6%96%B9%E6%B3%95\" >\u5b89\u88c5\u65b9\u6cd5<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E4%BD%BF%E7%94%A8%E6%96%B9%E6%B3%95\" >\u4f7f\u7528\u65b9\u6cd5<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/17aitech.com\/?p=9534\/#OpenCC\" >OpenCC<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%AE%9A%E4%B9%89-2\" >\u5b9a\u4e49<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%AE%89%E8%A3%85%E6%96%B9%E6%B3%95-2\" >\u5b89\u88c5\u65b9\u6cd5<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E4%BD%BF%E7%94%A8%E6%96%B9%E6%B3%95-2\" >\u4f7f\u7528\u65b9\u6cd5<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\" >\u5185\u5bb9\u5c0f\u7ed3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/17aitech.com\/?p=9534\/#%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\" >\u53c2\u8003\u8d44\u6599<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E5%89%8D%E8%A8%80\"><\/span>\u524d\u8a00<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5728\u4e0a\u4e00\u7ae0<a href=\"https:\/\/17aitech.com\/?p=8947\">\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day17\uff08\u4e0b\uff09\uff1a\u521d\u59cbSeq2Seq\u6a21\u578b<\/a>\u4e2d\uff0c\u6211\u4eec\u521d\u6b65\u4e86\u89e3\u4e86Seq2Seq\u6a21\u578b\u7684\u57fa\u672c\u60c5\u51b5\u53ca\u4ee3\u7801\u8fd0\u884c\u6548\u679c\uff0c\u672c\u7ae0\u5185\u5bb9\u5c06\u6df1\u5165\u4e86\u89e3Seq2Seq\u6a21\u578b\u7684\u4ee3\u7801\uff0c\u68b3\u7406\u4ee3\u7801\u7684\u6846\u67b6\u56fe\u3001\u5404\u90e8\u5206\u7ec4\u6210\u90e8\u5206\u4ee5\u53ca\u8fd0\u884c\u6d41\u7a0b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E6%A1%86%E6%9E%B6%E5%9B%BE\"><\/span>\u6846\u67b6\u56fe<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%E5%B7%A5%E7%A8%8B%E7%9B%AE%E5%BD%95%E7%BB%93%E6%9E%84\"><\/span>\u5de5\u7a0b\u76ee\u5f55\u7ed3\u6784<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u67e5\u770b\u9879\u76ee\u76ee\u5f55\u7ed3\u6784\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-shell\">seq2seq_demo\/\n\u251c\u2500\u2500 data.txt                     # \u539f\u59cb\u6570\u636e\u6587\u4ef6\uff0c\u5305\u542b\u8bad\u7ec3\u6216\u6d4b\u8bd5\u6570\u636e\n\u251c\u2500\u2500 dataloader.py                # \u6570\u636e\u52a0\u8f7d\u5668\uff0c\u8d1f\u8d23\u8bfb\u53d6\u548c\u9884\u5904\u7406\u6570\u636e\n\u251c\u2500\u2500 decoder.py                   # \u89e3\u7801\u5668\u5b9e\u73b0\uff0c\u7528\u4e8e\u751f\u6210\u8f93\u51fa\u5e8f\u5217\n\u251c\u2500\u2500 encoder.py                   # \u7f16\u7801\u5668\u5b9e\u73b0\uff0c\u5c06\u8f93\u5165\u5e8f\u5217\u7f16\u7801\u4e3a\u4e0a\u4e0b\u6587\u5411\u91cf\n\u251c\u2500\u2500 main.py                      # \u4e3b\u7a0b\u5e8f\u5165\u53e3\uff0c\u6267\u884c\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\n\u251c\u2500\u2500 seq2seq.py                   # seq2seq \u6a21\u578b\u7684\u5b9e\u73b0\uff0c\u6574\u5408\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\n\u2514\u2500\u2500 tokenizer.py                 # \u5206\u8bcd\u5668\u5b9e\u73b0\uff0c\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6a21\u578b\u53ef\u5904\u7406\u7684\u683c\u5f0f<\/code><\/pre>\n<p>\u67e5\u770b\u5404\u4e2apy\u6587\u4ef6\u6574\u7406\u5173\u7cfb\u56fe\u7ed3\u6784\u5982\u4e0b\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Seq2Seq\u9879\u76ee\u6587\u4ef6\u7ed3\u6784\u56fe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Seq2Seq\u9879\u76ee\u6587\u4ef6\u7ed3\u6784\u56fe.png\" alt=\"\" \/><\/a><\/p>\n<ul>\n<li><code>main.py<\/code> \u6587\u4ef6\u662f\u4e3b\u7a0b\u5e8f\u5165\u53e3\uff0c\u540c\u65f6\u5176\u4e2d\u4e5f\u5b9a\u4e49\u4e86 <code>Translation\u7c7b<\/code>\uff0c\u7528\u4e8e\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/li>\n<li><code>Translation<\/code>\u7c7b\u5728 <code>__init__()<\/code> \u65b9\u6cd5\u4e2d\u8c03\u7528 <code>get_tokenizer()<\/code> \u65b9\u6cd5\u5b9e\u4f8b\u5316tokenizer\u5bf9\u8c61\u3002<\/li>\n<li><code>Translation<\/code>\u7c7b\u5728 <code>__init__()<\/code> \u65b9\u6cd5\u4e2d\u8c03\u7528 <code>get_model()<\/code> \u5b9e\u4f8b\u5316seq2seq\u7c7b\u5bf9\u8c61\uff0c\u8fdb\u800c\u5b9e\u4f8b\u5316 <code>Encoder<\/code> \u548c <code>Decoder<\/code> \u5bf9\u8c61\u3002<\/li>\n<li><code>Translation<\/code>\u7c7b\u5728 <code>train()<\/code> \u65b9\u6cd5\u4e2d\u8c03\u7528 <code>get_dataloader()<\/code> \u65b9\u6cd5\u5b9e\u4f8b\u5316<code>dataloader<\/code>\u5bf9\u8c61\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E6%A0%B8%E5%BF%83%E9%80%BB%E8%BE%91\"><\/span>\u6838\u5fc3\u903b\u8f91<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%E5%88%9D%E5%A7%8B%E5%8C%96%E8%BF%87%E7%A8%8B\"><\/span>\u521d\u59cb\u5316\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/translation\u7c7b\u521d\u59cb\u5316\u8fc7\u7a0b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/translation\u7c7b\u521d\u59cb\u5316\u8fc7\u7a0b.png\" alt=\"\" \/><\/a><\/p>\n<ul>\n<li>\u4e0a\u8ff0\u6d41\u7a0b\u4e2d\u8f83\u4e3a\u91cd\u8981\u7684\u4ee3\u7801\u4e3b\u8981\u662f <code>build_dict()<\/code> \u3001encoder\u5b9e\u4f8b\u5316\u3001decoder\u5b9e\u4f8b\u5316\u521d\u59cb\u5316\u8fc7\u7a0b\uff1a<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"Build_dict\"><\/span>Build_dict()<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">def build_dict(self):\n        &quot;&quot;&quot;\n        \u6784\u5efa\u5b57\u5178\n        &quot;&quot;&quot;\n        if os.path.exists(self.saved_dict):\n            self.load()\n            print(&quot;\u52a0\u8f7d\u672c\u5730\u5b57\u5178\u6210\u529f&quot;)\n            return\n\n        input_words = {&quot;&lt;UNK&gt;&quot;, &quot;&lt;PAD&gt;&quot;}\n        output_words = {&quot;&lt;UNK&gt;&quot;, &quot;&lt;PAD&gt;&quot;, &quot;&lt;SOS&gt;&quot;, &quot;&lt;EOS&gt;&quot;}\n\n        with open(file=self.data_file, mode=&quot;r&quot;, encoding=&quot;utf8&quot;) as f:\n            for line in tqdm(f.readlines()):\n                if line:\n                    input_sentence, output_sentence = line.strip().split(&quot;\\t&quot;)\n                    input_sentence_words = self.split_input(input_sentence)\n                    output_sentence_words = self.split_output(output_sentence)\n                    input_words = input_words.union(set(input_sentence_words))\n                    output_words = output_words.union(set(output_sentence_words))\n        # \u8f93\u5165\u5b57\u5178\n        self.input_word2idx = {word: idx for idx, word in enumerate(input_words)}\n        self.input_idx2word = {idx: word for word, idx in self.input_word2idx.items()}\n        self.input_dict_len = len(self.input_word2idx)\n\n        # \u8f93\u51fa\u5b57\u5178\n        self.output_word2idx = {word: idx for idx, word in enumerate(output_words)}\n        self.output_idx2word = {idx: word for word, idx in self.output_word2idx.items()}\n        self.output_dict_len = len(self.output_word2idx)\n\n        # \u4fdd\u5b58\n        self.save()\n        print(&quot;\u4fdd\u5b58\u5b57\u5178\u6210\u529f&quot;)<\/code><\/pre>\n<p>\u4ee3\u7801\u89e3\u6790\uff1a<\/p>\n<ul>\n<li>\u9996\u5148\uff0c\u5224\u65ad\u672c\u5730\u662f\u5426\u6709\u5b57\u5178\uff0c\u6709\u7684\u8bdd\u76f4\u63a5\u52a0\u8f7d\uff1b<\/li>\n<li>\u5176\u6b21\uff0c\u5728<code>input_words<\/code> \u548c <code>output_words<\/code> \u96c6\u5408\u4e2d\u6dfb\u52a0\u7279\u6b8a\u7b26\u53f7(special tokens)\uff1a\n<ul>\n<li><code>&lt;UNK&gt;<\/code>\uff1a\u8868\u793a\u672a\u77e5\u5355\u8bcd\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u5165\u5e8f\u5217\u4e2d\u672a\u5728\u5b57\u5178\u4e2d\u627e\u5230\u7684\u5355\u8bcd\uff1b<\/li>\n<li><code>&lt;PAD&gt;<\/code>\uff1a\u8868\u793a\u586b\u5145\u7b26\u53f7\uff0c\u7528\u4e8e\u586b\u5145\u8f93\u5165\u5e8f\u5217\u548c\u8f93\u51fa\u5e8f\u5217\uff0c\u4f7f\u5b83\u4eec\u5177\u6709\u76f8\u540c\u7684\u957f\u5ea6\uff1b<\/li>\n<li><code>&lt;SOS&gt;<\/code>\uff1a\u8868\u793a\u5e8f\u5217\u7684\u5f00\u59cb\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u51fa\u5e8f\u5217\u7684\u8d77\u59cb\u4f4d\u7f6e\uff1b<\/li>\n<li><code>&lt;EOS&gt;<\/code>\uff1a\u8868\u793a\u5e8f\u5217\u7684\u7ed3\u675f\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u51fa\u5e8f\u5217\u7684\u7ed3\u675f\u4f4d\u7f6e\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u7136\u540e\uff0c\u8bfb\u53d6data.txt\u6587\u4ef6\uff0c\u4ee5\\t\u5207\u5206\u6570\u636e\u5e76\u5207\u5206\u5355\u8bcd\uff1a\n<ul>\n<li>\u8f93\u5165\u7684\u82f1\u6587\u8c03\u7528<code>split_input<\/code>\u8fdb\u884c\u9884\u5904\u7406\uff0c\u4f8b\u5982\uff1aI&#8217;m a student.\u2192[&#8216;i&#8217;, &#8216;m&#8217;, &#8216;a&#8217;, &#8216;student&#8217;, &#8216;.&#8217;]<\/li>\n<li>\u8f93\u51fa\u7684\u4e2d\u6587\u8c03\u7528<code>split_output<\/code>\u8fdb\u884c\u5207\u5206\uff0c\u4f8b\u5982\uff1a\u6211\u7231\u5317\u4eac\u5929\u5b89\u95e8\u2192[&#8216;\u6211&#8217;, &#8216;\u7231&#8217;, &#8216;\u5317\u4eac&#8217;, &#8216;\u5929\u5b89\u95e8&#8217;]<\/li>\n<\/ul>\n<\/li>\n<li>\u6700\u540e\uff0c\u8c03\u7528<code>self.save()<\/code> \u65b9\u6cd5\u5c06\u5b57\u5178\u4fdd\u5b58\u5230\u672c\u5730\u6587\u4ef6 <code>self.saved_dict<\/code> \u4e2d\u3002<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"encoder\"><\/span>encoder<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">import torch\nfrom torch import nn\n\nclass Encoder(nn.Module):\n    &quot;&quot;&quot;\n        \u5b9a\u4e49\u4e00\u4e2a \u7f16\u7801\u5668\n    &quot;&quot;&quot;\n\n    def __init__(self, tokenizer):\n        super(Encoder, self).__init__()\n        self.tokenizer = tokenizer\n        # \u5d4c\u5165\u5c42\n        self.embed = nn.Embedding(num_embeddings=self.tokenizer.input_dict_len,\n                                  embedding_dim=self.tokenizer.input_embed_dim,\n                                  padding_idx=self.tokenizer.input_word2idx.get(&quot;&lt;PAD&gt;&quot;))\n        # GRU\u5355\u5143\n        self.gru = nn.GRU(input_size=self.tokenizer.input_embed_dim,\n                          hidden_size=self.tokenizer.input_hidden_size,\n                          batch_first=False)\n\n    def forward(self, x, x_len):\n        # [seq_len, batch_size] --&gt; [seq_len, batch_size, embed_dim]\n        x = self.embed(x)\n        # \u538b\u7d27\u88ab\u586b\u5145\u7684\u5e8f\u5217\n        x = nn.utils.rnn.pack_padded_sequence(input=x,\n                                              lengths=x_len,\n                                              batch_first=False)\n        out, hn = self.gru(x)\n        # \u586b\u5145\u88ab\u538b\u7d27\u7684\u5e8f\u5217\n        out, out_len = nn.utils.rnn.pad_packed_sequence(sequence=out,\n                                                        batch_first=False,\n                                                        padding_value=self.tokenizer.input_word2idx.get(&quot;&lt;PAD&gt;&quot;))\n        # out: [seq_len, batch_size, hidden_size]\n        # hn: [1, batch_size, hidden_size]\n        return out, hn<\/code><\/pre>\n<p>\u4ee3\u7801\u89e3\u6790\uff1a<\/p>\n<ul>\n<li>encoder\u662f\u4e00\u4e2a\u5178\u578b\u7684RNN\u7ed3\u6784\uff0c\u5176\u5b9a\u4e49\u4e86embedding\u5c42\u7528\u4e8e\u8bcd\u5d4c\u5165\uff0c\u4ee5\u53caGRU\u5355\u5143\u8fdb\u884c\u5e8f\u5217\u5904\u7406\u3002<\/li>\n<li>\u5728<code>forward<\/code>\u65b9\u6cd5\u4e2d\uff0c\u9996\u5148\u5c06\u8f93\u5165\u5e8f\u5217\u8fdb\u884c\u8bcd\u5d4c\u5165\uff0c\u7136\u540e\u4f7f\u7528pack_padded_sequence\u5c06\u88ab\u586b\u5145\u7684\u5e8f\u5217\u538b\u7d27\uff0c\u4ee5\u4fbf\u4e8eGRU\u5355\u5143\u5904\u7406\u3002<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"decoder\"><\/span>decoder<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">import torch\nfrom torch import nn\nimport random\n\ndevice = torch.device(&quot;cuda&quot; if torch.cuda.is_available() else &quot;cpu&quot;)\n\nclass Decoder(nn.Module):\n    def __init__(self, tokenizer):\n        super(Decoder, self).__init__()\n        self.tokenizer = tokenizer\n        # \u5d4c\u5165\n        self.embed = nn.Embedding(\n            num_embeddings=self.tokenizer.output_dict_len,\n            embedding_dim=self.tokenizer.output_embed_dim,\n            padding_idx=self.tokenizer.output_word2idx.get(&quot;&lt;PAD&gt;&quot;),\n        )\n        # \u62bd\u53d6\u7279\u5f81\n        self.gru = nn.GRU(\n            input_size=self.tokenizer.output_embed_dim,\n            hidden_size=self.tokenizer.output_hidden_size,\n            batch_first=False,\n        )\n        # \u8f6c\u6362\u7ef4\u5ea6\uff0c\u505a\u6982\u7387\u8f93\u51fa\n        self.fc = nn.Linear(\n            in_features=self.tokenizer.output_hidden_size,\n            out_features=self.tokenizer.output_dict_len,\n        )\n\n    def forward_step(self, decoder_input, decoder_hidden):\n        &quot;&quot;&quot;\n        \u5355\u6b65\u89e3\u7801:\n            decoder_input: [1, batch_size]\n            decoder_hidden: [1, batch_size, hidden_size]\n        &quot;&quot;&quot;\n        # [1, batch_size] --&gt; [1, batch_size, embedding_dim]\n        decoder_input = self.embed(decoder_input)\n        # \u8f93\u5165\uff1a[1, batch_size, embedding_dim] [1, batch_size, hidden_size]\n        # \u8f93\u51fa\uff1a[1, batch_size, hidden_size] [1, batch_size, hidden_size]\n        # \u56e0\u4e3a\u53ea\u67091\u6b65\uff0c\u6240\u4ee5 out \u8ddf decoder_hidden\u662f\u4e00\u6837\u7684\n        out, decoder_hidden = self.gru(decoder_input, decoder_hidden)\n        # [batch_size, hidden_size]\n        out = out.squeeze(dim=0)\n        # [batch_size, dict_len]\n        out = self.fc(out)\n        # out: [batch_size, dict_len]\n        # decoder_hidden: [1, batch_size, hidden_size]\n        return out, decoder_hidden\n\n    def forward(self, encoder_hidden, y, y_len):\n        &quot;&quot;&quot;\n        \u8bad\u7ec3\u65f6\u7684\u6b63\u5411\u4f20\u64ad\n            - encoder_hidden: [1, batch_size, hidden_size]\n            - y: [seq_len, batch_size]\n            - y_len: [batch_size]\n        &quot;&quot;&quot;\n        # \u8ba1\u7b97\u8f93\u51fa\u7684\u6700\u5927\u957f\u5ea6\uff08\u672c\u6279\u6570\u636e\u7684\u6700\u5927\u957f\u5ea6\uff09\n        output_max_len = max(y_len.tolist()) + 1\n        # \u672c\u6279\u6570\u636e\u7684\u6279\u91cf\u5927\u5c0f\n        batch_size = encoder_hidden.size(1)\n        # \u8f93\u5165\u4fe1\u53f7 SOS  \u8bfb\u53d6\u7b2c0\u6b65\uff0c\u542f\u52a8\u4fe1\u53f7\n        # decoder_input: [1, batch_size]\n        # \u8f93\u5165\u4fe1\u53f7 SOS [1, batch_size]\n        decoder_input = torch.LongTensor(\n            [[self.tokenizer.output_word2idx.get(&quot;&lt;SOS&gt;&quot;)] * batch_size]\n        ).to(device=device)\n        # \u6536\u96c6\u6240\u6709\u7684\u9884\u6d4b\u7ed3\u679c\n        # decoder_outputs: [seq_len, batch_size, dict_len]\n        decoder_outputs = torch.zeros(\n            output_max_len, batch_size, self.tokenizer.output_dict_len\n        )\n        # \u9690\u85cf\u72b6\u6001 [1, batch_size, hidden_size]\n        decoder_hidden = encoder_hidden\n        # \u624b\u52a8\u5faa\u73af\n        for t in range(output_max_len):\n            # \u8f93\u5165\uff1adecoder_input: [batch_size, dict_len], decoder_hidden: [1, batch_size, hidden_size]\n            # \u8fd4\u56de\u503c\uff1adecoder_output_t: [batch_size, dict_len], decoder_hidden: [1, batch_size, hidden_size]\n            decoder_output_t, decoder_hidden = self.forward_step(\n                decoder_input, decoder_hidden\n            )\n            # \u586b\u5145\u7ed3\u679c\u5f20\u91cf [seq_len, batch_size, dict_len]\n            decoder_outputs[t, :, :] = decoder_output_t\n            # teacher forcing \u6559\u5e08\u5f3a\u8feb\u673a\u5236\n            use_teacher_forcing = random.random() &gt; 0.5\n            # 0.5 \u6982\u7387 \u5b9e\u884c\u6559\u5e08\u5f3a\u8feb\n            if use_teacher_forcing:\n                # [1, batch_size] \u53d6\u6807\u7b7e\u4e2d\u7684\u4e0b\u4e00\u4e2a\u8bcd\n                decoder_input = y[t, :].unsqueeze(0)\n            else:\n                # \u53d6\u51fa\u4e0a\u4e00\u6b65\u7684\u63a8\u7406\u7ed3\u679c [1, batch_size]\n                decoder_input = decoder_output_t.argmax(dim=-1).unsqueeze(0)\n        # decoder_outputs: [seq_len, batch_size, dict_len]\n        return decoder_outputs\n\n    # ...\uff08\u5176\u4ed6\u51fd\u6570\u6682\u7565\uff09<\/code><\/pre>\n<p>\u4ee3\u7801\u89e3\u6790\uff1a<\/p>\n<ul>\n<li>decoder\u5b9a\u4e49\u4e86\u4e09\u4e2a\u5c42\uff1aembed\uff08\u8bcd\u5d4c\u5165\uff09\u3001gru\u548cfc\uff08\u5168\u94fe\u63a5\u5c42\uff09\u3002<\/li>\n<li>\u5168\u94fe\u63a5\u5c42\u7528\u4e8e\u8f93\u51fa\u7684\u662f\u5b57\u5178\u957f\u5ea6\uff0c\u5373\u6bcf\u4e2a\u4f4d\u7f6e\u4ee3\u8868\u7740\u6bcf\u4e2a\u5b57\u7684\u6982\u7387\u3002<\/li>\n<li>decoder\u7684forward_step\u65b9\u6cd5\uff0c\u7528\u4e8e\u4e00\u6b65\u4e00\u6b65\u5730\u6267\u884c\uff0c\u5c5e\u4e8e\u624b\u52a8\u5faa\u73af\uff1bforward\u65b9\u6cd5\uff0c\u628a\u6240\u6709\u6b65\u90fd\u6267\u884c\u5b8c\u8fdb\u884c\u63a8\u7406\uff0c\u5c5e\u4e8e\u81ea\u52a8\u5faa\u73af\u3002<\/li>\n<li>\u5728<code>forward<\/code>\u65b9\u6cd5\u4e2d\uff1a\n<ul>\n<li>\u9996\u5148\uff0c\u8ba1\u7b97\u672c\u6279\u6570\u636e\u7684\u6700\u5927\u957f\u5ea6(\u7528\u4e8e\u6807\u7b7e\u5bf9\u9f50)<\/li>\n<li>\u5176\u6b21\uff0c\u4f7f\u7528<code>encoder_hidden.size(1)<\/code>\u83b7\u53d6\u6279\u91cf\u5927\u5c0f<\/li>\n<li>\u7136\u540e\uff0c\u589e\u52a0\u542f\u52a8\u4fe1\u53f7\uff0c\u5373<code>&lt;SOS&gt;<\/code><\/li>\n<li>\u7136\u540e\uff0c\u51c6\u5907\u51680\u7684\u5f20\u91cf <code>decoder_outputs<\/code><\/li>\n<li>\u7136\u540e\uff0c\u5f00\u59cb\u5faa\u73af<\/li>\n<li>\u5728\u5faa\u73af\u6bcf\u4e00\u6b65\u4e2d\uff0c\u5c06\u8f93\u5165\u548c\u9690\u85cf\u72b6\u6001\u4f20\u7ed9forward_step\u8fdb\u884c\u5904\u7406\uff0c\u5f97\u5230\u8f93\u51fa\u6982\u7387<code>decoder_output_t<\/code><\/li>\n<li>\u5c06\u7ed3\u679c\u6982\u7387\u653e\u5728<code>decoder_outputs<\/code>\u4e2d<\/li>\n<li>\u542f\u7528\u6559\u5e08\u5f3a\u8feb\u673a\u5236(teacher forcing)\uff1a\n<ul>\n<li>\u5373\u670950%\u6982\u7387\uff0c\u4f7f\u7528\u6807\u51c6\u7b54\u6848\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\uff1b<\/li>\n<li>\u5426\u5219\uff0c\u4f7f\u7528\u4e0a\u4e00\u6b65\u7684\u63a8\u7406\u7ed3\u679c\u4e2d\u6982\u7387\u6700\u5927\u7684\u8bcd\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6700\u540e\uff0c\u8fd4\u56de\u7ed3\u679c\u6982\u7387\u5f20\u91cf <code>decoder_outputs<\/code><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\"><\/span>\u8bad\u7ec3\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/translation\u8bad\u7ec3\u8fc7\u7a0b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/translation\u8bad\u7ec3\u8fc7\u7a0b.png\" alt=\"\" \/><\/a><\/p>\n<ul>\n<li>\u4e0a\u8ff0\u6d41\u7a0b\u4e2d\u8f83\u4e3a\u91cd\u8981\u7684\u4ee3\u7801\u4e3b\u8981\u662f <code>\u8c03\u7528collate_fn<\/code>\u3001<code>\u5177\u4f53\u8bad\u7ec3\u8fc7\u7a0b<\/code>\u3001<code>\u624b\u52a8\u5faa\u73af\u8fdb\u884c\u6b63\u5411\u63a8\u7406<\/code><\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"%E8%B0%83%E7%94%A8collate_fn\"><\/span>\u8c03\u7528collate_fn<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">def collate_fn(batch, tokenizer):\n    # \u6839\u636e x \u7684\u957f\u5ea6\u6765 \u5012\u5e8f\u6392\u5217\n    batch = sorted(batch, key=lambda ele: ele[1], reverse=True)\n    # \u5408\u5e76\u6574\u4e2a\u6279\u91cf\u7684\u6bcf\u4e00\u90e8\u5206\n    input_sentences, input_sentence_lens, output_sentences, output_sentence_lens = zip(\n        *batch\n    )\n\n    # \u8f6c\u7d22\u5f15\u3010\u6309\u672c\u6279\u91cf\u6700\u5927\u957f\u5ea6\u6765\u586b\u5145\u3011\n    input_sentence_len = input_sentence_lens[0]\n    input_idxes = []\n    for input_sentence in input_sentences:\n        input_idxes.append(tokenizer.encode_input(input_sentence, input_sentence_len))\n\n    # \u8f6c\u7d22\u5f15\u3010\u6309\u672c\u6279\u91cf\u6700\u5927\u957f\u5ea6\u6765\u586b\u5145\u3011\n    output_sentence_len = max(output_sentence_lens)\n    output_idxes = []\n    for output_sentence in output_sentences:\n        output_idxes.append(\n            tokenizer.encode_output(output_sentence, output_sentence_len)\n        )\n\n    # \u8f6c\u5f20\u91cf [seq_len, batch_size]\n    input_idxes = torch.LongTensor(input_idxes).t()\n    output_idxes = torch.LongTensor(output_idxes).t()\n    input_sentence_lens = torch.LongTensor(input_sentence_lens)\n    output_sentence_lens = torch.LongTensor(output_sentence_lens)\n\n    return input_idxes, input_sentence_lens, output_idxes, output_sentence_lens<\/code><\/pre>\n<p>\u4ee3\u7801\u89e3\u6790\uff1a<\/p>\n<ul>\n<li>\u5f53\u6587\u5b57\u957f\u5ea6\u4e0d\u4e00\u6837\u9f50\u7684\u65f6\u5019\uff0c\u9700\u8981\u8fdb\u884c\u8865\u5145\\&lt;PAD>\uff0c\u4ee5\u4fdd\u6301\u6240\u6709\u5e8f\u5217\u957f\u5ea6\u4e00\u81f4<br \/>\n<blockquote>\n<p>\u4f8b\u5982\uff1a<br \/>\nI&#8217;m a student.<br \/>\nI&#8217;m OK.<br \/>\nHere is your change.<\/p>\n<\/blockquote>\n<\/li>\n<li>\u4f46\u662f\u8865\u5145\\&lt;PAD>\u672c\u8eab\u5bf9\u8bad\u7ec3\u8fc7\u7a0b\u4f1a\u9020\u6210\u5e72\u6270\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u91c7\u7528\u4e00\u79cd\u673a\u5236\uff1a\u65e2\u4fdd\u8bc1\u5bf9\u9f50\u6570\u636e\u6279\u91cf\u5316\u8bad\u7ec3\uff0c\u53c8\u80fd\u6d88\u9664\u586b\u5145\u5bf9\u8bad\u7ec3\u8fc7\u7a0b\u7684\u5f71\u54cd\u3002<\/li>\n<li>\u8fd9\u79cd\u673a\u5236\u539f\u7406\uff1a\u5728\u8bad\u7ec3\u65f6\u77e5\u9053\u5b9e\u9645\u7684\u6570\u636e\u957f\u5ea6\uff0c\u8fd9\u6837\u5728\u8bad\u7ec3\u65f6\u5c31\u53ef\u4ee5\u7565\u8fc7\\&lt;PAD>\u3002<\/li>\n<li>torch\u63d0\u4f9b\u4e86\u76f8\u5e94\u7684API\uff0c\u5176\u5927\u81f4\u8fc7\u7a0b\u662f\uff1a\n<ul>\n<li>\u9996\u5148\uff0c\u6839\u636e x(\u4e0a\u53e5) \u7684\u957f\u5ea6\u5012\u5e8f\u6392\u5e8f<\/li>\n<li>\u5176\u6b21\uff0c\u83b7\u53d6\u672c\u6279\u91cf\u6700\u5927\u7684\u957f\u5ea6<\/li>\n<li>\u7136\u540e\uff0c\u5c06\u6570\u636e\u586b\u5145\u5230\u672c\u6279\u91cf\u6700\u5927\u957f\u5ea6<\/li>\n<li>\u6700\u540e\uff0c\u5728\u8fd4\u56de\u6570\u636e\u65f6\uff0c\u4e0d\u77e5\u8fd4\u56de\u6570\u636e\uff0c\u8fd8\u4f1a\u5e26\u7740\u771f\u5b9e\u957f\u5ea6<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"%E5%85%B7%E4%BD%93%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\"><\/span>\u5177\u4f53\u8bad\u7ec3\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">    # \uff08\u5176\u4ed6\u90e8\u5206\u4ee3\u7801\u7565\uff09\n        # \u8bad\u7ec3\u8fc7\u7a0b\n        is_complete = False\n        for epoch in range(self.epochs):\n            self.model.train()\n            for batch_idx, (x, x_len, y, y_len) in enumerate(train_dataloader):\n                x = x.to(device=self.device)\n                y = y.to(device=self.device)\n                results = self.model(x, x_len, y, y_len)\n                loss = self.get_loss(decoder_outputs=results, y=y)\n\n                # \u7b80\u5355\u5224\u5b9a\u4e00\u4e0b\uff0c\u5982\u679c\u635f\u5931\u5c0f\u4e8e0.5\uff0c\u5219\u8bad\u7ec3\u63d0\u524d\u5b8c\u6210\n                if loss.item() &lt; 0.3:\n                    is_complete = True\n                    print(f&quot;\u8bad\u7ec3\u63d0\u524d\u5b8c\u6210, \u672c\u6279\u6b21\u635f\u5931\u4e3a\uff1a{loss.item()}&quot;)\n                    break\n\n                loss.backward()\n                self.optimizer.step()\n                self.optimizer.zero_grad()\n                # \u8fc7\u7a0b\u76d1\u63a7\n                with torch.no_grad():\n                    if batch_idx % 100 == 0:\n                        print(\n                            f&quot;\u7b2c {epoch + 1} \u8f6e {batch_idx + 1} \u6279, \u5f53\u524d\u6279\u6b21\u635f\u5931: {loss.item()}&quot;\n                        )\n                        x_true = self.get_real_input(x)\n                        y_pred = self.model.batch_infer(x, x_len)\n                        y_true = self.get_real_output(y)\n                        samples = random.sample(population=range(x.size(1)), k=2)\n                        for idx in samples:\n                            print(&quot;\\t\u771f\u5b9e\u8f93\u5165\uff1a&quot;, x_true[idx])\n                            print(&quot;\\t\u771f\u5b9e\u7ed3\u679c\uff1a&quot;, y_true[idx])\n                            print(&quot;\\t\u9884\u6d4b\u7ed3\u679c\uff1a&quot;, y_pred[idx])\n                            print(\n                                &quot;\\t----------------------------------------------------------&quot;\n                            )\n\n            # \u5916\u5c42\u63d0\u524d\u9000\u51fa\n            if is_complete:\n                # print(&quot;\u8bad\u7ec3\u63d0\u524d\u5b8c\u6210&quot;)\n                break\n        # \u4fdd\u5b58\u6a21\u578b\n        torch.save(obj=self.model.state_dict(), f=&quot;.\/model.pt&quot;)<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E6%89%8B%E5%8A%A8%E5%BE%AA%E7%8E%AF%E8%BF%9B%E8%A1%8C%E6%AD%A3%E5%90%91%E6%8E%A8%E7%90%86\"><\/span>\u624b\u52a8\u5faa\u73af\u8fdb\u884c\u6b63\u5411\u63a8\u7406<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">    #\uff08\u5176\u4ed6\u90e8\u5206\u7565\uff09\n    def batch_infer(self, encoder_hidden):\n        &quot;&quot;&quot;\n        \u63a8\u7406\u65f6\u7684\u6b63\u5411\u4f20\u64ad\n            - encoder_hidden: [1, batch_size, hidden_size]\n        &quot;&quot;&quot;\n        # \u63a8\u7406\u65f6\uff0c\u8bbe\u5b9a\u4e00\u4e2a\u6700\u5927\u7684\u56fa\u5b9a\u957f\u5ea6\n        output_max_len = self.tokenizer.output_max_len\n        # \u83b7\u53d6\u6279\u91cf\u5927\u5c0f\n        batch_size = encoder_hidden.size(1)\n        # \u8f93\u5165\u4fe1\u53f7 SOS [1, batch_size]\n        decoder_input = torch.LongTensor(\n            [[self.tokenizer.output_word2idx.get(&quot;&lt;SOS&gt;&quot;)] * batch_size]\n        ).to(device=device)\n        # print(decoder_input)\n        results = []\n        # \u9690\u85cf\u72b6\u6001\n        # encoder_hidden: [1, batch_size, hidden_size]\n        decoder_hidden = encoder_hidden\n        with torch.no_grad():\n            # \u624b\u52a8\u5faa\u73af\n            for t in range(output_max_len):\n                # decoder_input: [1, batch_size]\n                # decoder_hidden: [1, batch_size, hidden_size]\n                decoder_output_t, decoder_hidden = self.forward_step(\n                    decoder_input, decoder_hidden\n                )\n                # \u53d6\u51fa\u7ed3\u679c [1, batch_size]\n                decoder_input = decoder_output_t.argmax(dim=-1).unsqueeze(0)\n                results.append(decoder_input)\n            # [seq_len, batch_size]\n            results = torch.cat(tensors=results, dim=0)\n        return results<\/code><\/pre>\n<p>\u4ee3\u7801\u89e3\u6790\uff1a<\/p>\n<ul>\n<li>\u76f8\u6bd4\u8bad\u7ec3\u7684\u65f6\u5019\uff0c\u63a8\u7406\u7684\u65f6\u5019\u51fd\u6570\u5165\u53c2\u6ca1\u6709<code>y<\/code>\u6807\u51c6\u7b54\u6848\u3002<\/li>\n<li>\u63a8\u7406\u7684\u8fc7\u7a0b\uff1a\n<ul>\n<li>(\u4e0e\u8bad\u7ec3\u7c7b\u4f3c)\u83b7\u53d6\u6700\u5927\u957f\u5ea6\u3001\u83b7\u53d6\u6279\u91cf\u5927\u5c0f\u3001\u6784\u5efa\u542f\u52a8\u4fe1\u53f7\u3002<\/li>\n<li>(\u4e0e\u8bad\u7ec3\u4e0d\u540c)\u5728\u65e0\u68af\u5ea6\u73af\u5883\u91cc\uff0c\u8c03\u7528<code>forward_step<\/code>\u51fd\u6570\uff0c\u8fdb\u884c\u5faa\u73af\u63a8\u7406\u3002<\/li>\n<li>(\u4e0e\u8bad\u7ec3\u4e0d\u540c)\u56e0\u4e3a\u63a8\u7406\u65f6\u4e0d\u9700\u8981teacher forcing\u673a\u5236\uff0c\u6240\u4ee5\u76f4\u63a5\u4f7f\u7528\u8d2a\u5fc3\u601d\u60f3\u83b7\u5f97\u6982\u7387\u6700\u5927\u7684\u8bcd\u3002<\/li>\n<li>\u5faa\u73af\u7ed3\u675f\u540e\uff0c\u5c06\u7ed3\u679c\u62fc\u63a5\u8d77\u6765\uff0c\u8fd4\u56de\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\"><\/span>\u8865\u5145\u77e5\u8bc6<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"tqdm\"><\/span>tqdm<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89\"><\/span>\u5b9a\u4e49<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>tqdm \u662f\u4e00\u4e2a\u7528\u4e8e\u5728 Python \u4e2d\u663e\u793a\u8fdb\u5ea6\u6761\u7684\u5e93\uff0c\u975e\u5e38\u9002\u5408\u5728\u957f\u65f6\u95f4\u8fd0\u884c\u7684\u5faa\u73af\u4e2d\u4f7f\u7528\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%89%E8%A3%85%E6%96%B9%E6%B3%95\"><\/span>\u5b89\u88c5\u65b9\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-shell\">pip install tqdm<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E4%BD%BF%E7%94%A8%E6%96%B9%E6%B3%95\"><\/span>\u4f7f\u7528\u65b9\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">from tqdm import tqdm\nimport time\n\n# \u793a\u4f8b\uff1a\u5728\u4e00\u4e2a\u7b80\u5355\u7684\u5faa\u73af\u4e2d\u4f7f\u7528 tqdm\nfor i in tqdm(range(10)):\n    time.sleep(1)  # \u6a21\u62df\u67d0\u4e2a\u8017\u65f6\u64cd\u4f5c<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/tqdm\u8fdb\u5ea6\u6761\u663e\u793a\u6548\u679c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/tqdm\u8fdb\u5ea6\u6761\u663e\u793a\u6548\u679c.png\" alt=\"\" \/><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"OpenCC\"><\/span>OpenCC<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89-2\"><\/span>\u5b9a\u4e49<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>OpenCC\uff08Open Chinese Convert\uff09\u662f\u4e00\u4e2a\u7528\u4e8e\u7b80\u4f53\u4e2d\u6587\u548c\u7e41\u4f53\u4e2d\u6587\u4e4b\u95f4\u8f6c\u6362\u7684\u5de5\u5177<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%AE%89%E8%A3%85%E6%96%B9%E6%B3%95-2\"><\/span>\u5b89\u88c5\u65b9\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-shell\">pip install OpenCC<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E4%BD%BF%E7%94%A8%E6%96%B9%E6%B3%95-2\"><\/span>\u4f7f\u7528\u65b9\u6cd5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<pre><code class=\"language-python\">import opencc\n\n# \u521b\u5efa\u8f6c\u6362\u5668\uff0c\u4f7f\u7528\u7b80\u4f53\u5230\u7e41\u4f53\u7684\u914d\u7f6e\nconverter = opencc.OpenCC(&#039;s2t&#039;)  # s2t: \u7b80\u4f53\u5230\u7e41\u4f53\n\n# \u8f93\u5165\u7b80\u4f53\u4e2d\u6587\nsimplified_text = &quot;\u6211\u7231\u7f16\u7a0b&quot;\n\n# \u8fdb\u884c\u8f6c\u6362\ntraditional_text = converter.convert(simplified_text)\n\nprint(traditional_text)  \n# \u8f93\u51fa\u7ed3\u679c\uff1a\u6211\u611b\u7de8\u7a0b<\/code><\/pre>\n<h2><span class=\"ez-toc-section\" id=\"%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\"><\/span>\u5185\u5bb9\u5c0f\u7ed3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Seq2Seq\u9879\u76ee\u6574\u4f53\u7ec4\u6210\u7531tokenizer\uff08\u5206\u8bcd\u5668\uff09\u3001dataloader(\u6570\u636e\u52a0\u8f7d)\u3001encoder\uff08\u7f16\u7801\u5668\uff09\u3001decoder\uff08\u89e3\u7801\u5668\uff09\u3001seq2seq\u548cmain\u516d\u4e2a\u90e8\u5206\u7ec4\u6210<\/li>\n<li>\u5728\u5206\u8bcd\u5668\u4e2d\u91cd\u70b9\u5de5\u4f5c\u662f\u6784\u5efa\u81ea\u5b9a\u4e49\u5b57\u5178\uff0c\u5e76\u6dfb\u52a0\u7279\u6b8a\u7b26\u53f7(special tokens)\n<ul>\n<li><code>&lt;UNK&gt;<\/code>\uff1a\u8868\u793a\u672a\u77e5\u5355\u8bcd\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u5165\u5e8f\u5217\u4e2d\u672a\u5728\u5b57\u5178\u4e2d\u627e\u5230\u7684\u5355\u8bcd\uff1b<\/li>\n<li><code>&lt;PAD&gt;<\/code>\uff1a\u8868\u793a\u586b\u5145\u7b26\u53f7\uff0c\u7528\u4e8e\u586b\u5145\u8f93\u5165\u5e8f\u5217\u548c\u8f93\u51fa\u5e8f\u5217\uff0c\u4f7f\u5b83\u4eec\u5177\u6709\u76f8\u540c\u7684\u957f\u5ea6\uff1b<\/li>\n<li><code>&lt;SOS&gt;<\/code>\uff1a\u8868\u793a\u5e8f\u5217\u7684\u5f00\u59cb\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u51fa\u5e8f\u5217\u7684\u8d77\u59cb\u4f4d\u7f6e\uff1b\u4e0a\u6587\u4e0d\u4f1a\u589e\u52a0\u3002<\/li>\n<li><code>&lt;EOS&gt;<\/code>\uff1a\u8868\u793a\u5e8f\u5217\u7684\u7ed3\u675f\uff0c\u7528\u4e8e\u8868\u793a\u8f93\u51fa\u5e8f\u5217\u7684\u7ed3\u675f\u4f4d\u7f6e\uff0c\u4e0a\u6587\u4e0d\u4f1a\u589e\u52a0\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5728decoder\u7684<code>forward\u51fd\u6570<\/code>\u4e2d\uff0c\u589e\u52a0\u4e86\u4e00\u4e2a<code>teacher_forcing_ratio<\/code>\u53c2\u6570\uff0c\u7528\u4e8e\u63a7\u5236\u662f\u5426\u4f7f\u7528\u6559\u5e08\u5f3a\u8feb\u673a\u5236\u3002\n<ul>\n<li>\u670950%\u6982\u7387\uff0c\u4f7f\u7528\u6807\u51c6\u7b54\u6848\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\uff1b<\/li>\n<li>\u670950%\u6982\u7387\uff0c\u4f7f\u7528\u4e0a\u4e00\u6b65\u7684\u63a8\u7406\u7ed3\u679c\u4e2d\u6982\u7387\u6700\u5927\u7684\u8bcd\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\u3002<\/li>\n<li>\u8be5\u673a\u5236\u7528\u4e8e\u63d0\u5347\u8bad\u7ec3\u901f\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4f1a\u4f7f\u7528<code>collate_fn<\/code>\u7528\u4e8e\u6570\u636e\u5bf9\u9f50\u65f6\u6d88\u9664PAD\u7684\u5f71\u54cd\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\"><\/span>\u53c2\u8003\u8d44\u6599<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>(\u6682\u65e0)<\/p>\n<p align=\"center\">\u6b22\u8fce\u5173\u6ce8\u516c\u4f17\u53f7\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u6587\u7ae0\u548c\u65b0\u95fb<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" alt=\"\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u8a00 \u5728\u4e0a\u4e00\u7ae0\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day17\uff08\u4e0b 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