11_CNN_CIFAR-10.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torch.nn.init\n",
    "import torchvision\n",
    "from torch.autograd import Variable\n",
    "import torchvision.utils as utils\n",
    "import torchvision.datasets as dsets\n",
    "import torchvision.transforms as transforms\n",
    "\n",
    "transform = transforms.Compose(\n",
    "    [transforms.ToTensor(),\n",
    "    transforms.Normalize((0.5, 0.5, 0.5), (0.5,0.5,0.5))])\n",
    "\n",
    "trainset = torchvision.datasets.CIFAR10(root='./data', train=True,\n",
    "                                       download=True, transform=transform)\n",
    "trainloader = torch.utils.data.DataLoader(trainset, batch_size=128,\n",
    "                                         shuffle=True, num_workers=10)\n",
    "\n",
    "testset  = torchvision.datasets.CIFAR10(root='./data', train=False,\n",
    "                                       download=True, transform=transform)\n",
    "testloader = torch.utils.data.DataLoader(testset, batch_size=4,\n",
    "                                        shuffle=False, num_workers=10)\n",
    "\n",
    "classes = ('plane', 'car', 'bird', 'cat',\n",
    "           'deer', 'dog', 'frog', 'horse', 'ship', 'truck')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2UiyXuOFt5zF8epbRSZ+v/8nbiCQaeGrfr1+xbM8akl1x+QXMjiexbZuf/uJe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\nHAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff5abfea9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "planeplane  doghorse\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg,(1,2,0)))\n",
    "    plt.show()\n",
    "    \n",
    "dataiter = iter(trainloader)\n",
    "images, labels = dataiter.next()\n",
    "\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "\n",
    "print(''.join('%5s' % classes[labels[j]] for j in range(4)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define Couvolution Neural Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Net (\n",
       "  (conv1): Conv2d(3, 24, kernel_size=(5, 5), stride=(1, 1))\n",
       "  (b1): BatchNorm2d(24, eps=1e-05, momentum=0.1, affine=True)\n",
       "  (pool): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n",
       "  (conv2): Conv2d(24, 64, kernel_size=(5, 5), stride=(1, 1))\n",
       "  (b2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n",
       "  (fc1): Linear (1600 -> 240)\n",
       "  (fc2): Linear (240 -> 84)\n",
       "  (fc3): Linear (84 -> 10)\n",
       ")"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from torch.autograd import Variable\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Net, self).__init__()\n",
    "        \n",
    "        self.conv1 = nn.Conv2d(3, 24, 5)\n",
    "        self.b1 = nn.BatchNorm2d(24)\n",
    "        self.pool = nn.MaxPool2d(2,2)\n",
    "        \n",
    "        self.conv2 = nn.Conv2d(24, 64, 5)\n",
    "        self.b2 = nn.BatchNorm2d(64)\n",
    "        \n",
    "        self.fc1 = nn.Linear(64 * 5 * 5, 240)\n",
    "        self.fc2 = nn.Linear(240, 84)\n",
    "        self.fc3 = nn.Linear(84, 10)\n",
    "        \n",
    "    def forward(self, x):\n",
    "        x = self.pool(F.relu(self.b1((self.conv1(x)))))\n",
    "        x = self.pool(F.relu(self.b2(self.conv2(x))))\n",
    "        x = x.view(-1, 64 * 5 * 5)\n",
    "        x = F.relu(self.fc1(x))\n",
    "        x = F.relu(self.fc2(x))\n",
    "        x = self.fc3(x)\n",
    "        return x\n",
    "    \n",
    "net = Net()\n",
    "net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import torch.optim as optim\n",
    "\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(net.parameters())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1,   128] loss : 1.062\n",
      "[1,   256] loss : 0.997\n",
      "[1,   384] loss : 0.949\n",
      "Accuracy 1000 test images : 58 %\n",
      "[2,   128] loss : 0.874\n",
      "[2,   256] loss : 0.860\n",
      "[2,   384] loss : 0.851\n",
      "Accuracy 1000 test images : 62 %\n",
      "[3,   128] loss : 0.746\n",
      "[3,   256] loss : 0.764\n",
      "[3,   384] loss : 0.757\n",
      "Accuracy 1000 test images : 64 %\n",
      "[4,   128] loss : 0.668\n",
      "[4,   256] loss : 0.671\n",
      "[4,   384] loss : 0.668\n",
      "Accuracy 1000 test images : 63 %\n",
      "[5,   128] loss : 0.608\n",
      "[5,   256] loss : 0.602\n",
      "[5,   384] loss : 0.605\n",
      "Accuracy 1000 test images : 66 %\n",
      "[6,   128] loss : 0.534\n",
      "[6,   256] loss : 0.538\n",
      "[6,   384] loss : 0.558\n",
      "Accuracy 1000 test images : 66 %\n",
      "[7,   128] loss : 0.452\n",
      "[7,   256] loss : 0.471\n",
      "[7,   384] loss : 0.492\n",
      "Accuracy 1000 test images : 67 %\n",
      "[8,   128] loss : 0.399\n",
      "[8,   256] loss : 0.415\n",
      "[8,   384] loss : 0.437\n",
      "Accuracy 1000 test images : 66 %\n",
      "[9,   128] loss : 0.354\n",
      "[9,   256] loss : 0.364\n",
      "[9,   384] loss : 0.369\n",
      "Accuracy 1000 test images : 67 %\n",
      "[10,   128] loss : 0.280\n",
      "[10,   256] loss : 0.327\n",
      "[10,   384] loss : 0.335\n",
      "Accuracy 1000 test images : 66 %\n",
      "Finished Training\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(10):\n",
    "    running_loss = 0.0\n",
    "    for i, data in enumerate(trainloader, 0):\n",
    "        \n",
    "        inputs, labels = data\n",
    "        \n",
    "        inputs, labels = Variable(inputs), Variable(labels)\n",
    "        \n",
    "        optimizer.zero_grad()\n",
    "        \n",
    "        outputs = net(inputs)\n",
    "        loss = criterion(outputs, labels)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        \n",
    "        running_loss += loss.data[0]\n",
    "        if i % 128 == 127:   # print every 2000 mini-batches\n",
    "            print('[%d, %5d] loss : %.3f' % (epoch + 1, i+ 1, running_loss / 128))\n",
    "            running_loss = 0.0\n",
    "    \n",
    "    correct = 0\n",
    "    total = 0\n",
    "    for data in testloader:\n",
    "        images, labels = data\n",
    "        outputs = net(Variable(images))\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total += labels.size(0)\n",
    "        correct += (predicted == labels).sum()\n",
    "        \n",
    "    print('Accuracy 1000 test images : %d %%'% (100 * correct/total))\n",
    "    \n",
    "print('Finished Training')\n",
    "\n",
    "torch.save(net.state_dict(), 'CNN.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 6\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 1\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 7\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 7\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 6\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 2\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 3\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
      " 1\n",
      " 1\n",
      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 2\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 1\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 8\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 7\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 2\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 9\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 9\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 1\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 5\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 7\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 6\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 5\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 9\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 8\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 5\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 8\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 2\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 7\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "\n",
      "4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 1\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 1\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 6\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 0\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 2\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 1\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 7\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 8\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 6\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 6\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 1\n",
      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 2\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 2\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 9\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 2\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 3\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 6\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
      " 5\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 7\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 0\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 4\n",
      " 5\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 8\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 7\n",
      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 1\n",
      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 4\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
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      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
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      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 1\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 5\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 7\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 6\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 8\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 9\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 7\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 7\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 8\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 1\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 3\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
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      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 8\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 8\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 3\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 7\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 1\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 5\n",
      " 0\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 6\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 1\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 9\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 3\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 7\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 8\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 8\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 9\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 0\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 8\n",
      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 8\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 3\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 8\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 1\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 2\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 2\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 1\n",
      " 3\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
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      "\n",
      "4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "[torch.LongTensor of size 4]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
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      "\n",
      " 0\n",
      " 2\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 8\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 4\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 3\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 1\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 8\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
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      " 6\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 5\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 2\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
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      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 3\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 0\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 6\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 5\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 8\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 7\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 8\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 3\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 2\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 7\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 5\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 4\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 9\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 2\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 6\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 7\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 3\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 7\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 5\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 7\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 0\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 2\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 7\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 1\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 2\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 9\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 7\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 3\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 5\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 5\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 4\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 1\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 8\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 9\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 0\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 9\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 3\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 3\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 7\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 7\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 9\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 9\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 8\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 1\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 1\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 2\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 8\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 8\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 0\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 5\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 1\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 8\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 8\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 0\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 7\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 2\n",
      " 4\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 6\n",
      " 5\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 4\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 8\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 2\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 5\n",
      " 3\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 0\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 7\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 8\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 5\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 2\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 5\n",
      " 0\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 0\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 2\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 9\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 8\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 5\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 6\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 9\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 7\n",
      " 4\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 3\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 5\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 0\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 5\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 4\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 5\n",
      " 2\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 3\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 9\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 9\n",
      " 5\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 6\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 8\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 0\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 9\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 8\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 7\n",
      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 9\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 8\n",
      " 1\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 2\n",
      " 2\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 8\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 9\n",
      " 5\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 2\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      " 7\n",
      " 3\n",
      " 7\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 4\n",
      " 8\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
      " 0\n",
      " 1\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 3\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 3\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 9\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 0\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 8\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 0\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 3\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 7\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 8\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 8\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 3\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 4\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 2\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 3\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 3\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 7\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 0\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 6\n",
      " 1\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 4\n",
      " 4\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 8\n",
      " 4\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 8\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 4\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 8\n",
      " 7\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 0\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 8\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 9\n",
      " 6\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 1\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 2\n",
      " 2\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 6\n",
      " 9\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 9\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 3\n",
      " 9\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 6\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 1\n",
      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 9\n",
      " 2\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 7\n",
      " 2\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 4\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
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      "[torch.LongTensor of size 4]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4])\n",
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      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 8\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 5\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 7\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 1\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 4\n",
      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 4\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 6\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      " 0\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
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      " 2\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 9\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
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      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 1\n",
      " 7\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 7\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 8\n",
      " 7\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 4\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 8\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "\n",
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      " 9\n",
      " 6\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 8\n",
      " 5\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 1\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 6\n",
      " 2\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 4\n",
      " 6\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 7\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 5\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 9\n",
      " 6\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 3\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 1\n",
      " 7\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 2\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 5\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 0\n",
      " 8\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 7\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 0\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 7\n",
      " 4\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 6\n",
      " 8\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 9\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 3\n",
      " 3\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 6\n",
      " 6\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 3\n",
      " 4\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 4\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 6\n",
      " 5\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 9\n",
      " 9\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 2\n",
      " 3\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 2\n",
      " 9\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 0\n",
      " 6\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 8\n",
      " 0\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 1\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 9\n",
      " 6\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
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      " 4\n",
      " 6\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 7\n",
      " 7\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 3\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 0\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 6\n",
      " 7\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 2\n",
      " 4\n",
      " 5\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 0\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 7\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 4\n",
      " 5\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 5\n",
      " 0\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 1\n",
      " 1\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 4\n",
      " 9\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 1\n",
      " 0\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 8\n",
      " 5\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 4\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 4\n",
      " 6\n",
      " 6\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 8\n",
      " 1\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 6\n",
      " 5\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 2\n",
      " 1\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 9\n",
      " 1\n",
      " 6\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 2\n",
      " 0\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 2\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 6\n",
      " 0\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 1\n",
      " 5\n",
      " 3\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 5\n",
      " 8\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 5\n",
      " 6\n",
      " 5\n",
      " 8\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 5\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 6\n",
      " 5\n",
      " 1\n",
      " 1\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 0\n",
      " 3\n",
      " 3\n",
      " 9\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 4\n",
      " 8\n",
      " 1\n",
      " 7\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 9\n",
      " 9\n",
      " 4\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
      " 3\n",
      " 6\n",
      " 3\n",
      " 2\n",
      "[torch.LongTensor of size 4]\n",
      "\n",
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      "torch.Size([4])\n",
      "\n",
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      " 2\n",
      " 7\n",
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      "[torch.LongTensor of size 4]\n",
      "\n",
      "4\n",
      "torch.Size([4])\n",
      "\n",
      " 7\n",
      " 0\n",
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      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for data in testloader:\n",
    "    images, labels = data\n",
    "    print(labels.size())\n",
    "    print(labels)\n",
    "    print(labels.size(0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J008DAOamSSJdbsg5am2qORNBuSGy5P/g3UfStvf94uMAgF28npt5GWejWuXfyTUrXIDe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\n+P/jyitvLuJHGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff5abffe240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GroundTruth :    cat ship shipplane\n"
     ]
    }
   ],
   "source": [
    "dataiter = iter(testloader)\n",
    "images, labels = dataiter.next()\n",
    "\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print('GroundTruth : ',''.join('%5s' % classes[labels[j]] for j in range(4)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted:    cat   dog plane horse\n"
     ]
    }
   ],
   "source": [
    "outputsts = neVariableiable(images))\n",
    "\n",
    "print('Predicted: ', ' '.join('%5s' % classes[predicted[j]] for j in range(4)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accurcay to 10000 test images : 66 %\n"
     ]
    }
   ],
   "source": [
    "correct = 0\n",
    "total = 0\n",
    "for data in testloader:\n",
    "    images, labels = data\n",
    "    outputs = net(Variableable(images))\n",
    "    _, predicted = torch.max(outputs.data, 1)\n",
    "    total += labels.size(0)\n",
    "    correct += (predicted == labels).sum()\n",
    "    \n",
    "print('Accurcay to 10000 test images : %d %%' %(100* correct / total))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuray of plane : 62 %\n",
      "Accuray of   car : 76 %\n",
      "Accuray of  bird : 61 %\n",
      "Accuray of   cat : 43 %\n",
      "Accuray of  deer : 61 %\n",
      "Accuray of   dog : 57 %\n",
      "Accuray of  frog : 68 %\n",
      "Accuray of horse : 71 %\n",
      "Accuray of  ship : 79 %\n",
      "Accuray of truck : 79 %\n"
     ]
    }
   ],
   "source": [
    "class_correct = [0. for i in range(10)]\n",
    "class_total = [0. for i in range(10)]\n",
    "for data in testloader:\n",
    "    images, labels = data\n",
    "    outputs = net(Variable(images))\n",
    "    _, predicted = torch.max(outputs.data, 1)\n",
    "    c = (predicted == labels).squeeze()\n",
    "    for i in range(4):\n",
    "        label = labels[i]\n",
    "        class_correct[label] += c[i]\n",
    "        class_total[label] += 1\n",
    "        \n",
    "for i in range(10):\n",
    "    print('Accuray of %5s : %2d %%' % (classes[i], 100 * class_correct[i] / class_total[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}