mnist-loading-basic-steps.ipynb

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    "from torch import utils\n",
    "from torchvision import datasets, transforms\n",
    "\n",
    "# Transform PIL image into a tensor. The values are in the range [0, 1]\n",
    "t = transforms.ToTensor()\n",
    "\n",
    "# Load datasets for training and apply the given transformation.\n",
    "mnist = datasets.MNIST(root='data', train=True, download=True, transform=t)\n",
    "\n",
    "# Specify a data loader which returns 500 examples in each iteration.\n",
    "n = 500\n",
    "loader = utils.data.DataLoader(mnist, batch_size=n, shuffle=True)\n",
    "\n",
    "# Iterate over the batches.\n",
    "for imgs, labels in loader:\n",
    "    # do something"
   ]
  }
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