{"id":20970,"date":"2024-03-16T15:38:29","date_gmt":"2024-03-16T06:38:29","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/pytorch%e3%81%ae%e3%83%90%e3%83%83%e3%83%81%e4%ba%88%e6%b8%ac%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/"},"modified":"2025-08-07T04:19:28","modified_gmt":"2025-08-06T19:19:28","slug":"pytorch%e3%81%ae%e3%83%90%e3%83%83%e3%83%81%e4%ba%88%e6%b8%ac%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/pytorch%e3%81%ae%e3%83%90%e3%83%83%e3%83%81%e4%ba%88%e6%b8%ac%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/","title":{"rendered":"PyTorch\u306e\u30d0\u30c3\u30c1\u4e88\u6e2c\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f"},"content":{"rendered":"<p>PyTorch\u3092\u4f7f\u7528\u3057\u305f\u30d0\u30c3\u30c1\u4e88\u6e2c\u306e\u65b9\u6cd5\u3067\u306f\u3001\u901a\u5e38\u3001DataLoader\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u30d0\u30c3\u30c1\u3092\u30ed\u30fc\u30c9\u3057\u3001\u305d\u308c\u3089\u3092\u30e2\u30c7\u30eb\u306b\u6e21\u3057\u3066\u63a8\u8ad6\u3092\u884c\u3046\u624b\u9806\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u5177\u4f53\u7684\u306a\u624b\u9806\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\uff1a<\/p>\n<ol>\n<li>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u307e\u305atorch.utils.data.Dataset\u3092\u7d99\u627f\u3057\u3001__len__\u3068__getitem__\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u88c5\u3059\u308b\u30ab\u30b9\u30bf\u30e0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30af\u30e9\u30b9\u3092\u69cb\u7bc9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u9577\u3055\u3068\u30c7\u30fc\u30bf\u30b5\u30f3\u30d7\u30eb\u3092\u8fd4\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>torch.utils.data.DataLoader\u30af\u30e9\u30b9\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u30ed\u30fc\u30c0\u30fc\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf\u3092\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u306b\u5206\u5272\u3057\u3066\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30ed\u30fc\u30c0\u30fc\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u306f\u3001\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3001\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u3001\u30c7\u30fc\u30bf\u306e\u30b7\u30e3\u30c3\u30d5\u30eb\u306e\u6709\u7121\u306a\u3069\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li>PyTorch\u30e2\u30c7\u30eb\u3092\u30ed\u30fc\u30c9\u3057\u3066\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u306e\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002torch.load\u3092\u4f7f\u3063\u3066\u91cd\u307f\u3060\u3051\u3067\u306a\u304f\u3001\u30e2\u30c7\u30eb\u5168\u4f53\u3092\u30ed\u30fc\u30c9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>\u30d0\u30c3\u30c1\u4e88\u6e2c\uff1a\u30ed\u30fc\u30c9\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u3092\u4e00\u62ec\u3067\u4e88\u6e2c\u3057\u307e\u3059\u3002\u5404\u30c7\u30fc\u30bf\u30d0\u30c3\u30c1\u306b\u5bfe\u3057\u3066\u3001\u4e88\u6e2c\u7d50\u679c\u3092\u53d6\u5f97\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u30e2\u30c7\u30eb.forward()\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> torch\r\n<span class=\"hljs-keyword\">from<\/span> torch.utils.data <span class=\"hljs-keyword\">import<\/span> DataLoader\r\n\r\n<span class=\"hljs-comment\"># 1. \u6784\u5efa\u6570\u636e\u96c6\u7c7b<\/span>\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">MyDataset<\/span>(torch.utils.data.Dataset):\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__init__<\/span>(<span class=\"hljs-params\">self, data<\/span>):\r\n        self.data = data\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__len__<\/span>(<span class=\"hljs-params\">self<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> <span class=\"hljs-built_in\">len<\/span>(self.data)\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__getitem__<\/span>(<span class=\"hljs-params\">self, idx<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> self.data[idx]\r\n\r\n<span class=\"hljs-comment\"># 2. \u521b\u5efa\u6570\u636e\u52a0\u8f7d\u5668<\/span>\r\ndata = [<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">4<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">6<\/span>, <span class=\"hljs-number\">7<\/span>, <span class=\"hljs-number\">8<\/span>, <span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">10<\/span>]\r\ndataset = MyDataset(data)\r\ndataloader = DataLoader(dataset, batch_size=<span class=\"hljs-number\">3<\/span>, shuffle=<span class=\"hljs-literal\">False<\/span>)\r\n\r\n<span class=\"hljs-comment\"># 3. \u52a0\u8f7d\u6a21\u578b<\/span>\r\nmodel = torch.load(<span class=\"hljs-string\">'model.pth'<\/span>)\r\n\r\n<span class=\"hljs-comment\"># 4. \u6279\u91cf\u9884\u6d4b<\/span>\r\npredictions = []\r\n<span class=\"hljs-keyword\">for<\/span> batch <span class=\"hljs-keyword\">in<\/span> dataloader:\r\n    inputs = batch  <span class=\"hljs-comment\"># \u6839\u636e\u81ea\u5b9a\u4e49\u7684\u6570\u636e\u96c6\u7c7b\uff0c\u6bcf\u4e2abatch\u90fd\u662f\u4e00\u4e2a\u6837\u672c<\/span>\r\n    outputs = model(inputs)\r\n    predictions.extend(outputs.tolist())\r\n<\/code><\/pre>\n<p>\u4e0a\u8a18\u306e\u4f8b\u3067\u306f\u3001\u6570\u5b571\u304b\u308910\u307e\u3067\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30af\u30e9\u30b9MyDataset\u3092\u69cb\u7bc9\u3057\u307e\u3057\u305f\u3002\u305d\u306e\u5f8c\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30d0\u30c3\u30c1\u3054\u3068\u306b\u5206\u5272\u3059\u308bdataloader\u3092\u4f5c\u6210\u3057\u3001\u5404\u30d0\u30c3\u30c1\u306b\u306f3\u3064\u306e\u30b5\u30f3\u30d7\u30eb\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u6b21\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u306e\u30e2\u30c7\u30ebmodel\u3092\u30ed\u30fc\u30c9\u3057\u3001\u30c7\u30fc\u30bf\u30ed\u30fc\u30c0\u30fc\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u3092\u4e00\u62ec\u4e88\u6e2c\u3057\u307e\u3057\u305f\u3002\u6700\u5f8c\u306b\u3001\u4e88\u6e2c\u7d50\u679c\u306fpredictions\u30ea\u30b9\u30c8\u306b\u4fdd\u5b58\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PyTorch\u3092\u4f7f\u7528\u3057\u305f\u30d0\u30c3\u30c1\u4e88\u6e2c\u306e\u65b9\u6cd5\u3067\u306f\u3001\u901a\u5e38\u3001DataLoader\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u30d0\u30c3\u30c1\u3092\u30ed\u30fc\u30c9\u3057\u3001\u305d\u308c\u3089\u3092\u30e2\u30c7\u30eb\u306b\u6e21\u3057\u3066\u63a8\u8ad6\u3092\u884c\u3046\u624b\u9806\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u5177\u4f53\u7684\u306a\u624b\u9806\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\uff1a \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u307e\u305a [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[26,61],"class_list":["post-20970","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-26","tag-61"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PyTorch\u306e\u30d0\u30c3\u30c1\u4e88\u6e2c\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" 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