{"id":29858,"date":"2024-03-18T22:32:58","date_gmt":"2024-03-18T13:32:58","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/pytorch%e3%81%a7%e3%83%87%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88%e3%82%92%e3%82%a4%e3%83%b3%e3%83%9d%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99\/"},"modified":"2024-03-22T21:59:02","modified_gmt":"2024-03-22T12:59:02","slug":"pytorch%e3%81%a7%e3%83%87%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88%e3%82%92%e3%82%a4%e3%83%b3%e3%83%9d%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/pytorch%e3%81%a7%e3%83%87%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88%e3%82%92%e3%82%a4%e3%83%b3%e3%83%9d%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99\/","title":{"rendered":"PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f"},"content":{"rendered":"

PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u3002<\/p>\n

    \n
  1. torchvision.datasets \u3092\u4f7f\u3044\u307e\u3059\u3002<\/li>\n
  2. torchvision.datasets.CIFAR10\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/li>\n
  3. torchvision.datasets.MNIST\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n

    \u4f8b\u6587\uff1a<\/p>\n

    import<\/span> torchvision.datasets as<\/span> datasets\r\n\r\n# \u5bfc\u5165 CIFAR10 \u6570\u636e\u96c6<\/span>\r\ntrain_dataset = datasets.CIFAR10(root='path\/to\/dataset'<\/span>, train=True<\/span>, transform=None<\/span>, download=True<\/span>)\r\n\r\n# \u5bfc\u5165 MNIST \u6570\u636e\u96c6<\/span>\r\ntest_dataset = datasets.MNIST(root='path\/to\/dataset'<\/span>, train=False<\/span>, transform=None<\/span>, download=True<\/span>)\r\n<\/code><\/pre>\n
      \n
    1. torch.utils.data.Dataset\u306e\u540c\u7fa9\u8a9e<\/li>\n
    2. __len__\u306f\u3001\u30a2\u30a4\u30c6\u30e0\u306e\u6570\u3092\u8fd4\u3059\u30e1\u30bd\u30c3\u30c9\u3067\u3059\u3002<\/li>\n
    3. __getitem__\u3092\u65e5\u672c\u8a9e\u3067\u8a00\u3046\u3068__\u53d6\u5f97__\u3067\u3059\u3002<\/li>\n<\/ol>\n
      \u30b3\u30fc\u30c9\u4f8b\uff1a<\/p>\n
      from<\/span> torch.utils.data import<\/span> Dataset\r\n\r\nclass<\/span> MyDataset<\/span>(Dataset<\/span>):\r\n    def<\/span> __init__<\/span>(self, data, labels, transform=None<\/span><\/span>):\r\n        self.data = data\r\n        self.labels = labels\r\n        self.transform = transform\r\n\r\n    def<\/span> __len__<\/span>(self<\/span>):\r\n        return<\/span> len<\/span>(self.data)\r\n\r\n    def<\/span> __getitem__<\/span>(self, index<\/span>):\r\n        x = self.data[index]\r\n        y = self.labels[index]\r\n        \r\n        if<\/span> self.transform:\r\n            x = self.transform(x)\r\n        \r\n        return<\/span> x, y\r\n\r\n# \u4f7f\u7528\u81ea\u5b9a\u4e49\u6570\u636e\u96c6<\/span>\r\nmy_dataset = MyDataset(data, labels, transform=None<\/span>)\r\n<\/code><\/pre>\n
        \n
      1. torch.utils.data.DataLoader\u3092\u65e5\u672c\u8a9e\u3067\u8868\u73fe\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u30ed\u30fc\u30c0\u30fc\u3068\u306a\u308a\u307e\u3059\u3002<\/li>\n<\/ol>\n
        \u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\uff1a<\/p>\n
        from<\/span> torch.utils.data import<\/span> DataLoader\r\n\r\n# \u521b\u5efa\u6570\u636e\u52a0\u8f7d\u5668<\/span>\r\ntrain_loader = DataLoader(train_dataset, batch_size=32<\/span>, shuffle=True<\/span>)\r\ntest_loader = DataLoader(test_dataset, batch_size=32<\/span>, shuffle=False<\/span>)\r\n<\/code><\/pre>\n
        PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u304c\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u3002\u5177\u4f53\u7684\u306a\u9078\u629e\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u7a2e\u985e\u3068\u8981\u4ef6\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
        PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u3002 torchvision.datasets \u3092\u4f7f\u3044\u307e\u3059\u3002 torchvision.datasets.CIFAR10\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 torchvis […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-29858","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nPyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/ja\/blog\/pytorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f\" \/>\n<meta property=\"og:description\" content=\"PyTorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u3002 torchvision.datasets \u3092\u4f7f\u3044\u307e\u3059\u3002 torchvision.datasets.CIFAR10\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 torchvis […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/ja\/blog\/pytorch\u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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