diff --git a/deep_compression_exercise.ipynb b/deep_compression_exercise.ipynb index f903c10..9d3284a 100644 --- a/deep_compression_exercise.ipynb +++ b/deep_compression_exercise.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 127, "metadata": {}, "outputs": [], "source": [ @@ -22,6 +22,7 @@ "import torchvision.datasets as datasets\n", "\n", "device = torch.device('cuda' if torch.cuda.is_available() else \"cpu\")\n", + "device = \"cpu\"\n", "\n", "train_dataset = datasets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True)\n", "test_dataset = datasets.MNIST(root='./data', train=False, transform=transforms.ToTensor())\n", @@ -40,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 128, "metadata": {}, "outputs": [], "source": [ @@ -77,12 +78,14 @@ "\n", "### Q1: What does this model have the capability of doing that a \"Vanilla\" MLP does not. Why might we want this functionality for studying pruning?\n", "\n", + "It has the capability of masking the first hidden layer with another layer that doesn't have a gradient. To prune, we'll apply the mask.\n", + "\n", "Let's first train this model without utilizing this extra functionality. You can set the hidden layer size to whatever you'd like when instantiating the model:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 129, "metadata": {}, "outputs": [], "source": [ @@ -92,7 +95,7 @@ "hidden_dim = 64\n", "output_dim = 10\n", "\n", - "model = MultilayerPerceptron(input_dim,hidden_dim,output_dim)\n", + "model = MultilayerPerceptron(input_dim, hidden_dim, output_dim)\n", "model = model.to(device)\n", "\n", "criterion = torch.nn.CrossEntropyLoss() # computes softmax and then the cross entropy\n", @@ -109,9 +112,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 130, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration: 0. Loss: 0.4617573022842407. Accuracy: 90.\n", + "Iteration: 1. Loss: 0.27604782581329346. Accuracy: 92.\n", + "Iteration: 2. Loss: 0.22835958003997803. Accuracy: 93.\n", + "Iteration: 3. Loss: 0.17249777913093567. Accuracy: 94.\n", + "Iteration: 4. Loss: 0.2062477171421051. Accuracy: 94.\n", + "Iteration: 5. Loss: 0.19781960546970367. Accuracy: 95.\n", + "Iteration: 6. Loss: 0.1936187893152237. Accuracy: 95.\n", + "Iteration: 7. Loss: 0.18246129155158997. Accuracy: 95.\n", + "Iteration: 8. Loss: 0.135568767786026. Accuracy: 95.\n", + "Iteration: 9. Loss: 0.14658218622207642. Accuracy: 95.\n" + ] + } + ], "source": [ "iter = 0\n", "for epoch in range(n_epochs):\n", @@ -122,6 +142,8 @@ " optimizer.zero_grad()\n", " outputs = model(images)\n", " loss = criterion(outputs, labels)\n", + " #weight_orthog = torch.mean(torch.abs((model.W_0@model.W_0.T - torch.ones(784, 784))))\n", + " loss = loss #+ weight_orthog\n", " loss.backward()\n", " optimizer.step()\n", "\n", @@ -134,7 +156,7 @@ " outputs = model(images)\n", " _, predicted = torch.max(outputs.data, 1)\n", " total+= labels.size(0)\n", - " # for gpu, bring the predicted and labels back to cpu fro python operations to work\n", + " # for gpu, bring the predicted and labels back to cpu fro python operations to work\n", " correct+= (predicted == labels).sum()\n", " accuracy = 100 * correct/total\n", " print(\"Iteration: {}. Loss: {}. Accuracy: {}.\".format(epoch, loss.item(), accuracy))\n", @@ -152,13 +174,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 131, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "W_0 = model.W_0.detach().cpu().numpy()\n", - "plt.imshow(W_0[:,1].reshape((28,28)))\n", + "fig, ax = plt.subplots(ncols=8, nrows=8, figsize=(13, 10))\n", + "for i in range(8):\n", + " for j in range(8):\n", + " ax[i, j].imshow(W_0[:, i*8+j].reshape((28,28)))\n", + " ax[i, j].set_xticks([])\n", + " ax[i, j].set_yticks([])\n", + "\n", "plt.show()" ] }, @@ -167,6 +206,7 @@ "metadata": {}, "source": [ "### Q2: Based on the above image, what weights might reasonably be pruned (i.e. explicitly forced to be zero)?\n", + "Weights with an absolute value less than 0.05?\n", "\n", "\n", "### Q3: Implement some means of establishing a threshold for the (absolute value of the) weights, below which they are set to zero. Using this method, create a mask array. " @@ -174,11 +214,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 132, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "49.53208292201382\n" + ] + } + ], "source": [ - "new_mask = model.mask" + "import numpy as np\n", + "### Select weights to prune based on threshold\n", + "th = 0.5*np.max(W_0)\n", + "new_mask = torch.ones_like(model.mask)\n", + "new_mask[np.fabs(W_0) < th] = 0\n", + "plt.imshow(new_mask[:, 1].reshape(28, 28))\n", + "plt.colorbar()\n", + "plt.show()\n", + "compression_ratio = (W_0.shape[0]*W_0.shape[1]) / np.count_nonzero(new_mask)\n", + "print(compression_ratio)" ] }, { @@ -190,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 133, "metadata": {}, "outputs": [], "source": [ @@ -206,9 +275,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 134, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration: 1. Loss: 0.3805947005748749. Accuracy: 89.\n", + "Iteration: 2. Loss: 0.3776979446411133. Accuracy: 91.\n", + "Iteration: 3. Loss: 0.3114739954471588. Accuracy: 91.\n", + "Iteration: 4. Loss: 0.2947711646556854. Accuracy: 92.\n", + "Iteration: 5. Loss: 0.2770721912384033. Accuracy: 92.\n", + "Iteration: 6. Loss: 0.3020266890525818. Accuracy: 93.\n", + "Iteration: 7. Loss: 0.2484753429889679. Accuracy: 93.\n", + "Iteration: 8. Loss: 0.29062139987945557. Accuracy: 93.\n", + "Iteration: 9. Loss: 0.28847774863243103. Accuracy: 93.\n", + "Iteration: 10. Loss: 0.2397352159023285. Accuracy: 93.\n" + ] + } + ], "source": [ "iter = 0\n", "for epoch in range(n_epochs):\n", @@ -231,9 +317,10 @@ " outputs = model(images)\n", " _, predicted = torch.max(outputs.data, 1)\n", " total+= labels.size(0)\n", - " # for gpu, bring the predicted and labels back to cpu fro python operations to work\n", + " # for gpu, bring the predicted and labels back to cpu for python operations to work\n", " correct+= (predicted == labels).sum()\n", " accuracy = 100 * correct/total\n", + " iter += 1\n", " print(\"Iteration: {}. Loss: {}. Accuracy: {}.\".format(iter, loss.item(), accuracy))\n", "torch.save(model.state_dict(),'mnist_pruned.h5')" ] @@ -243,18 +330,38 @@ "metadata": {}, "source": [ "### Q4: How much accuracy did you lose by pruning the model? How much \"compression\" did you achieve (here defined as total entries in W_0 divided by number of non-zero entries)? \n", + "I achieved the same accuracy when I clipped all weights whose absolute values were less than 1/4 the maximum weight. This was a compression ratio of ~13. Doing the same experiment with a compression ratio of ~140 results in an accuracy of 91, which is still impressive. When I randomly selected the weights to drop (compression ratio of 32), the network still achieved 90 percent accuracy. \n", "\n", - "### Q5: Explore a few different thresholds: approximately how many weights can you prune before accuracy starts to degrade?" + "### Q5: Explore a few different thresholds: approximately how many weights can you prune before accuracy starts to degrade?\n", + "A compression ratio of around 30 is where the accuracy starts to degrade for me.\n", + "\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 135, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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LLxFj7ngXXqmP+biaaUmSJEmDnOYhSZIkRWQzLUmSJEVkMy1JkiRFZDMtSZIkRWQzLUmSJEVkMy1JkiRFZDMtSZIkRWQzLUmSJEVkMy1JkiRFlB7XxlNqMxUzG/NVS2J0rty4LQmn6CxvqMukZxT/eHev2pCI8QZobC7PzJk/rl+LSWn5I92JGfPyurpMuqk57jLyqnfnDvra2lJx1wFQUVWXqaov7vEGaNvRmpz3eH1dJj2tKe4y8q577fpEjHllqipTTV3cZeTdHnYmYrwB0lNrM1Uzp8ZdRt61r9g04piPq2uomNnI4i++Y+KqOgiZTPi7lEpN/OnQH3v1pxJxfvn0jEbmfuqyuMvIu9UX/GMixhtgzvw0379+dtxl5N2pLWsTM+bppmbmX/G+uMvIq9arvhR3CQOq6ps5+rz3xl1G3t314w8k5z0+rYnZ/3hF3GXk3dqLP5SIMa+mjtNS58RdRt7dlPlZIsYboGrmVI78ytvjLiPv7nv5Z0Yc80kbweWjiZYkSZLGwznTkiRJUkQ205IkSVJENtOSJElSRDbTkiRJUkQ205IkSVJEk3Y1D6lY9BGWeezPlA253Zf9rFud6hmyfTmuZCNJUlKYTEuSJEkRJS6ZzufJWKQ49WTKAejMVABwf0cLAE+2zwJgzd5wVrp1O8NZLxtqugA4a/ZKAJrS7QAcVxvWjJ9X/uxf/Yxcqi0l2bIvfhOA92w4BYBb1h4OQHtrPQCzl/k+ljR5mExLkiRJESUumTaR1mS07zzmXDq8q78GgLvaDgNgeVtIoDe3TwFg1daQRGdW1wHQ+GR4/twVnQCsPTds979HVwKwd1NI7RYt3gLA5S23DPzMxRVbh9RhQq0kO/PKdw+5PWXYpSRNJibTkiRJUkSJS6alyWSkJHhTX8jXHmhvAeB/NxwFQFtXSJirKnoB6NlTBUB1Z3hu57Tw/NTyfgDm39oNwLZtYQ51Y3garVOaAHh41oKBn5lLpitS4bl92fnZkiQpv0ymJUmSpIhspiVJkqSIJt00D5fOUxLtO82jJxN+rR58dj4ARzSGAwafU78BgPrycIDhv616JQBdTWFqRufMcLm5JxyQOO2xsDRe54zwXn/NK+4Ir7sjvO6q9mkDP7N7SvhcXEH/xP2jJCXel875EQBnVm8G4LTfvi/OcqSSZDItSZIkRVTwZDqXLOeMN2E2kVYS5A48LMu9H/d5Wz7eMQ+Ah9fPBWBqfUiiZ1XtBuCHq04OG2ZD5Op5ewFY2LwzvNQR4Xek4rV9ALxqyiYAzm5YDsCqtpBIV5X1DfzMrX0NAFSOcCIXRTB8ZUF3O3nRdHd4b/c+sxqAPW86PcZqJqdfbz8BgNcs/HPMlUily2RakiRJiqggyfTwNBpMmJNm5TnfAWDxzW+PuZLJpXyEyHJ7ds5zfW2Y87ykKSxb9+CuMNe5I7tEXs3ckEifMGc9AGc3PQXA7PQuANr7w9J5v9l2PABt9eH29Ko2ABqzpxcH6MsM/VzsyVs0Gew8dXa4krvUuN364JEAHJK9lFR4JtOSJElSRAWfM20inUwm0tH0ZBPhXIq8r/qqcNKVe9eFk6v07KwGoLw9PKesJ6TGmxvDXOqFM7cD0JZ9ra294eQv9926FIAnjg6nI583NcyLfs7M9QM/qzIV5k93Zz8fj5SYKwKHUZISbcblPQBs/WpFbDWYTEuSJEkRxbaax4ES6muP/86Q2xc8aHKaT2UbQmraP7cz5komh9xc5JES4HlVYc7zxvqpAGy+N8wHnfF0eLy8Kzxn60nhctveMMf69r2HA3DzxnC5aWM4bXhTa3heV1szAOtPC7efaZgx+DMrdh7kv0hDjLJ7+s35Xxi4vqzjUAD+fmpYkWLJDy7Je1mSpCB13XQA2o7szd6zK7ZaTKYlSZKkiBJ7BsRjK0NSeuzdb97vdsOTbs+QODbl68L4LvnKMwCse+tiAPbMKAegrKJvyPZLvhzm/z793spClTgptGXCHK3VPdMH7qvIzl++49HDADjyOyG5zNSGudDrXh4S5qal2wB4w6IHAHhgd5hbvW1nds3oujDmexeEn5HKhPd0OvseT5cNnu0wt5pHf/ayPDX0/0+jyC12MsbdxTuXXzBwPTf+//abORNclCRpNFu3hOOJpmUPVWqfHn8razItSZIkRRRbO3+gRPlAiXRObvvee8L80vQpzh0di5n3hVSt/biQhrYd3wGM/unKRHr/VnUNzl++b+dCAObelB3NPWFd6M7DQnrdWxPurqkIRyD/fG1YR3rXnvDAkfNCkj2lIsxfX7blCADKmkNSXV8d1q+eXrFn4Gd2ZhPy3Fzu+I5pniQiLr+9+aFZE1uHJGlc6h8LkXTl3tDH9F64Pc5yAJNpSZIkKbK8JtNzP5Vdg3d+3cB9O9+2d8g2EzXH2UR6bJZcFdLQXUeET3YbX+Pc2igqUuETcWf2bdveN5jcP742zKGtPTTMP9/dEuZO710Sxn7W/C1DX6s8/B8cPXcjAE2V4VuCJ3fNBKC8I/weNTSEMx4+b1aY535E1caJ+ueUHg+pkKRJZe8d4RvgprXh7+/uheFvY01sFQ0ymZYkSZIiymsy3Vcf0rqqHT0D9029NqxUsPvC3fn80SWt/t7Bz2lzloV5tZl7HgGgvCXM5+37RJh/y846FF1PJvwKzawcfD+ntof3fVdTiD9rloa1L4+YEra5cN6dANy08ygA7mpdBMCWHeEI5b6e8Bm37rGw4krfgpBcnz1vJQBH1mwIj5d1DfzM6lT4HfPMh5KkYtLxp5BIT3s6/C1sm5VNpF+4dch2Z85eBcCX59wLwKkP/G2hSjSZliRJkqLKazK9+X1hNYKaXzQO3Dft3nDU5dT3hVTtmQvnAVBx4shznl03euyWfiTMxc001A7cl9oZ0tDus04AYPm7sg84xfyg9Gffl7lVNFZ1DK7mkZkWUv/ejjBnurEm/B68cMZTACyoCL8Dtz60FIAZy8KvYfeU8Jpt87LrSWcPL3jVmfcB8M5pfwbg6Z7ws3JrSwOUZ38/ylKDa08Xm1n3hH9bX0UYp23HR1ySQ5I0acy/YQcAvY3h29qud7QNeTyXSC/bdAgAp2YvC8lkWpIkSYqoIOtMd7xu8Hzpa+eGtXbn/il8sjj0P8PKBL0bw9q66XlzAdj5vDC3d++bny1EiUUhszvMj+5eMrgW7rYXhxRzz6kdsdRU7Lb31QOwt3dwNY/5s0Lsv2RqmM81qyp8O/DhaU8D8LEtxwCQ3hl+/cp6Q6rcXxmS1uod4fLZ00OinZv/tbE3zBerSPX+VR2D60sX7zc4dT+7C4DyxqkAbDv+qPG/yPAwu3iHS9IYrfrxcQCUpwe/2et/KuzbW64PvUrrC8Pt+Z9ZdlA/66lvngrA4e+++6BepxTMeEfoaXL94bO/XTLidstiSKKHM5mWJEmSIir4GRDLTg+pXevJYT5px5aQQDesOBSA/mzA19UYIqNq50yP2ZNfX5y9tu9YmUiPR4oMFal+ejL7/5zZnf0c2lgeUosZlYPrp9/fFs4qecv6MCf6rCPDXOn7usJc6ru2twDQ2xwS5p1Hhl/DvursnOD6cHn5ibcC8Pv2MC97afZ3I7diR3XZ4Co5pbCKxzOfPSPuEqTEOeKasA/a+PzwjU3H7LAv6Gn0HAJjdcibHxr1sRs3PAjAXzrDfvmTnzkxPHDz/HB5Tuu4fpaJ9Nht/VZD9lrDfrdLApNpSZIkKaKCJ9MDPzgdPjU3zA1zYghTpUllk+jqOIpSycuQOmAqDYNJ8Izy8P59XdO9A4+taW8G4LG+cCbEXd1hdZXPrn8ZAJv+NyTXU7JTn/uqsj87fFlDakpIsFd0hDMgPrI3rHhz8pTVACypDPPHKhlMnipSplDA4Jzo0YL64g/wVSJyCWf7q8Mc3HRHeHPPuT3sC+pufxKAJ/7tiBiqKx7nzT1+5AfGmUiruJlMS5IkSRHFlkyPJjc3Ore+tDQZ7JsMN1SENdQ794TI+bHWFgCmPRTe0wv/N5zJMDMtrL/eOS/MB1t/VpgbPXtaWMHmyWdDMn1i8zoAGsvbgcG50qbR+3B3oRKTWxViUNgf7Dghe/NvTKSlQjGZliRJkiKymZYkSZIiStw0jxyne2gyyB2I2JkZ/FWanl0mL70tTNuYdXdYUmnKg5sB6G8L0zX6N4Xb6/4uLPl20vPCAUNH1If7m9JhyauWym0AzE3vHPIzJUlS/EymJUmSpIgSm0zneLIWJVkuJd73YMCzGkLCPPPl4TTiPzriFADWnxNO7U7FNABOOHwNAF+f+y0AjqoMyXPuhLZ92bd+e3bNvNySfX0ebffX3E1IkmJiMi1JkiRFlPhkWpoMKgfyZFiYnds8Ox2WuDvx6NUAlB8d4tPubNI8pawTgOpUOHtLe/b4gL7sZVd2O5NoSZKSy2RakiRJishkWjoI+0uNc2n1tLL2/W6bu7+9Pz3i/ZIkKblMpiVJkqSITKalfWQIa0bn5jEfjPEmyybRkiRNPibTkiRJUkQ209I+UoTVNc6/412cf8e74i4nsuaybprLuuMuQ5KkomczLUmSJEWUymTGfuqwVCq1FViTv3ISY1Emk5kRdxGOd+E55oVXImPueBeeY154iRhzx7vwSn3Mx9VMS5IkSRrkNA9JkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpovR4Ni6vr8ukm5vzVUtidK9r3ZaE891Xpqoy1dTFXUbe7WFnIsYbYHpzeaZlQUXcZeTdfQ93JWbMyxvqMulpTXGXkVe923fSt6ctFXcdAJXltZmaiilxl5F3u7s2J+c9XleXSTeVwN/O9cn422mvUnil/h4fVzOdbm5mzgffO3FVJdSa93xgTdw1AFRTx2mpc+IuI+9uyvwsEeMN0LKggrtvXBB3GXlXPmdFYsY8Pa2J2R+/PO4y8mrTP3817hIG1FRM4YxF/yfuMvLuxqc+l5z3eFMz8694X9xl5N0zH3p/IsY83dzMnA9fEXcZebfmHz6YiPGG7Hv8PSXwHv/wyO9xp3lIkiRJEdlMS5IkSRHZTEuSJEkR2UxLkiRJEdlMS5IkSRHZTEuSJEkR2UxLkiRJEdlMS5IkSRGN66QtkiRJJStzkM9PxHlQNdFMpiVJkqSIYkumU+P8dJcZ9mlu+POHPy5JknRQoibRuZ7kYJNsTQom05IkSVJEBU+mR0ukR0uex5o4j3d7SZKk/Rpvwjy8B7EnKQkm05IkSVJENtOSJElSRIlbGm/4NJDRDjTMXY62vdM9JEnShLCn0H6YTEuSJEkRFSSZHu8yeFFeyyRa0ng1PF4JwOw72wFIP7YKgCe+sCS2miQl1zOvvwaAQ39+MQCVO8oBaFreD0DHjJBR7l7SN+Lzj/ziJgCeuHL2Xz225PK7AHj6q6dNYMUqBJNpSZIkKaLY5kwPn/N8sOm1c6Uljdesu7KJ9PK1gIn0SFZ/phaAzCNTBu475Eeb8vozb/jTLwB4+fNfN3Df9bf+DICXLn81ABXvrshrDZPNnGUhCd14ZnnMlRS3Q3928ZDbU1aF5qN2S0/2nvC+3D3KrmSkRDrHRDqa2s2h8WufFd8ZckymJUmSpIjymkxP5Fzplt+ET33pW+4DYMWXT9/vzzShljSaeTeE9K7s9nsBeOLbJ8dZTqI1/qwegIbrlg3eueTQvP7MfRPpnJPvfQsAbe1VAKQ/E5LYlo+057WWpJt5b5irW/eHRwE4/P5mAJ76hwWx1VRKeupDs7HrsHD8xc7nhP+PgZO8jHbSF3uUg9awJlyWdWcHd1Z8tZhMS5IkSRHFvs70aOtFp/eEB2Y8GD7lpdtDMj1aIj3cvq9nSi1pX+tfnj3S/uUm0gfSeN+WcCXPafSBzPlAd/Za9363K3bzbu0FoO6JzQD0b98ZHugPfyt3Pnd+LHWVmkxD+H/obgjfcqU7Rmk04pvGW/T2LAqXLb/tBODZJdWx1WIyLUmSJEUUezJ9zumPAHDznccMub+3IXyc23hW+LSXSdUOeXwi52NLkpQ0h374joHr6UNbAOg8ZBoA2587F4DemnkAPOtCNAWV2rg0qQcAACAASURBVBPap5otoRnprfUr8LisfkV8iXSOybQkSZIUUV6T6dHmQwP86tVfBqC5LMw7+tobbgXgY5tPBeAXt5025DXG+7OcJ63J7ry5xwNw44YHY65EUhxSJzxn4Pr2oxoA2Jqd5l/W7R+5WAxbnWPHcWGu+qw7wgMD60v731NSTKYlSZKkiGKbM/3aX70XgJVv/CYAr1vxEgAevntx2GCMlZlIq1j1veDE7DWT6ahWvexbALT27gXgZ3uOBuCqO18cW02TTd/KsJhr+eJFMVdSela+acpf3VdW2ouZJMewXqO3OtxR1xoyyrb5ffvdXsXFZFqSJEmKKPbVPP5uzdkAPPhASKRTwyoa76odJtQqFjf96L/iLmHSuuvcqwBo7Q07hOaycHYyE+nx6zovfENSu2J7zJVIydUfdjHUbA77nLYDnYBy+BkSNamZTEuSJEkRxZ5M378xfHwbniiPNZF2vWlJw532+yviLqForH1pOMPb0q/FXIiUQDUbwu9H3eawMlnrOQeImu1ZhjjsRzsHb4SFUeiZHs4rsualVft97pRV4bKiLQzq9qPji/lNpiVJkqSIYk+mO9aGtTOHz3Eea0Ltah6SlD9Lv7Yl7hI0Bj9841cAeOtP3xNzJaWlL3vyvbKeA0yCNpEe0Yq3NA1cX3BLDwAVu7oAWPzzcLvs6bUA9O16FoD0IWFloR2nzwFg23HxN34m05IkSVJEBU+mhyfHoyXP450LbSI9Nrmz6eXOrjftL+FT4fbn7hz1OZKkZHu8ax4AX3jd9wBY0TUbgG/89rzYaioFU54JzUrV9q7sPTXxFTPJrXtRBQDV28PSKJW7w9hWH3IkAKn+cHvzycnLgZNXkSRJkjRJxD5nOmesSfRoCbRzpscml0jnmEhL0uT3r79+/ZDbT1/4DQC+EUcxJSS3vvTTbx0lkXau9Lh1TstkL8Pt3YfkGruhDV5ZT/be7Bj3VRaguFGYTEuSJEkRFSSZnoi02MRZkqSxWfKDS+IuYXIbY6K845j+cW0/wJ5mzHqbwhreVU2dADQ1tANQX9kNwOp75sdT2D5MpiVJkqSIbKYlSZKkiGI/AHG8pw/P8TTikiQpL3LTMCa613B6x7iteuV/ArDk+2Hq0jbqs5fJYTItSZIkRRR7Mp1zoIT6QEvfeYCiJEmaUMN7i+E9ir1H3uUS6SQzmZYkSZIiSkwyPRqTaEmSlAj2HhqBybQkSZIUUeKSaRNnSZIkTRYm05IkSVJENtOSJElSRDbTkiRJUkQ205IkSVJENtOSJElSRKlMZuwnnk+lUluBNfkrJzEWZTKZGXEX4XgXnmNeeCUy5o534TnmhZeIMXe8C6/Ux3xczbQkSZKkQU7zkCRJkiKymZYkSZIispmWJEmSIrKZliRJkiKymZYkSZIispmWJEmSIrKZliRJkiKymZYkSZIispmWJEmSIkqPZ+Py+rpMuqk5X7UkRndr67YknKKzvL4uk24ugfFel4zxBqhurM7Uz6mPu4y82758e2LGvLyhLpOe0Rh3GXnVu3UXfXvaUnHXAdDYXJ6ZO7887jLy7olHepLzHq+ty1Q0Fv++vGtjMvbl5fV1mfS0prjLyLvutesTMd6QG/Pif493rx35PT6uZjrd1Mzc97934qpKqNXv+0Aizi+fbi6R8X5vMsYboH5OPa/83ivjLiPvvnvadxMz5ukZjcz/9KVxl5FXrR+9Ou4SBsydX86118+Ou4y8O6llXWLe4xWNzbS848q4y8i7Jz91ZSLGPD2tidkfuSLuMvJu7SUfSsR4A6SnNTPn/xb/mK+59IMjjrnTPCRJkqSIbKYlSZKkiGymJUmSpIhspiVJkqSIbKYlSZKkiGymJUmSpIhspiVJkqSIbKYlSZKkiGymJUmSpIhspiVJkqSIbKYlSZKkiGymJUmSpIhspiVJkvLoyCNbOfLI1rjLUJ7YTEuSJEkR2UxLkiRJEaXjLkCSJKmYvPGMuwH46R2nAnDDETcAcPPCcgDecePfx1OY8sJkWpIkSYrIZFqSJGkC5RLpnEN+9S4APvvin8RRjvLMZFqSJEmKyGRaQ0x5Ony+2r2kP+ZKJr871y8C4LEzfgjA3699XpzlaB+Z7GXFk7UAVO0Mt9tOb4+nIEkl4cM3nR93CUWnpjXMQ++Y3xdbDSbTkiRJUkQm0xpi9vceAmD3vxwTcyWTX89TUwA4KnMBAGVlIQ89be6a2GpSkMpedi7sBqCspzK+YiRJ41a/MiTSqfgC6QEm05IkSVJEJtMCoH5N+FyVmjMz5kqKx1kvfASAW+88GoCZR2yNsxyNIF3TC0D30b0xV1JaPnzIaQB8dtVdMVciabLqDYe8MHVlOMZrz+Hx1WIyLUmSJEUUWzJ99pmPAXDbsufEVYL20VcdLjsOmw7AEd8Kyxs8+Y6muEqaVFpP3ztwff6d9UMee8HpjwKwuDYk0yvbZxSuMAHwryf/EoCX1GwE4NQ/XxpnOSXPRFrSwSrvDJdTnw5/fzc/ry62WkymJUmSpIhiS6ZziXRNyx4AOlY3xFWKgN7asNJEzTM7AHjyEtPT8RieRo/ERDo+jWVh/ei2jOunx6EslRlyuz+TGmVLSRqbpqfDsS6Ze8O3v7z9tNhqMZmWJEmSIop9NY/yspAUHXZcKwAbdoe1edtXTYmtplJUtSMkRX1PrczeY4qq4nHZ3W8F4KGz/wOAp1/wXQCW3Pq2MT2/5epwudqp1pGYREuK6pnXXgPAob+8eMj9redm9yvnxpdI55hMS5IkSRHFnkzvfWYqACsIl3OO2gJAOybThdT8RDgTXOaM42KuRMqf4257FwCXHXfrmLY/7LNdAPQ/9ES449Lj81GWNOEW/MsyANZ97MyYK5EOzhkPvT7uEg7IZFqSJEmKKK/J9GFX3glA+2sH57N0TAv9+86jwtHdU1aE27sPC3OnNz7uGfgKqXpLGP/aJ8M3AsuvmBtnOVJBfP2hF4xpuxUfrspeM5HOh0uWvwWAbyz9UcyVFB8TaRWLzc9Mj7uEAzKZliRJkiLKazK94ounA3DYdW0D99WuD5cz7gnrA/Y01wBQs70SgM3xH5RZUmbdF+ZKb37JvOw94RuDled/E4CnesL/3ct+8f6C1yapuN1x3M8BeLAr5kIk6SCYTEuSJEkRFWQ1jxVvOvD50qc/GNYLXHhjDwBrz4t9oZGSULE7JNM7jxo63uc8/ioAVj/iHGpJ+fFgl5G0pMnPZFqSJEmKKDHx77bjM9lriSmpJKw4v3bE+02kNRkt+K9yADqnVwCQO/He1Kf3ArDySvcvksbu8EvvBuCpq0+NuRIlmcm0JEmSFJExjaSise6ivuy1viH3b3NXJykCE2mNhcm0JEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUketFSZJUJB6/9GoAbu4IJzC6/DsXx1mOVBJMpiVJkqSIEpdMr3zTNwFYfN27Y65EkqTJ5airL427BKnkmExLkiRJESUumTaRliRJ0mRhMi1JkiRFZDMtSZIkRWQzLUmSJEWUymQyY984ldoKrMlfOYmxKJPJzIi7CMe78BzzwiuRMXe8C88xL7xEjLnjXXilPubjaqYlSZIkDXKahyRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhRRejwblzfUZdLTmvJVS2J0r1m/LQnnu69tqspMnVsbdxl5t+nxXYkYb4CqxupM/ZyGuMvIux3LtyVmzMvr6zLp5ua4y8ir3h076Nvbloq7DoB0bV2mYmpxjzdA56bWxLzH09V1maqG4h/z9m3JGPOKqTWZ6llT4y4j7/Y+vTkR4w1QPqU2UzGzMe4y8q5r5cYRx3xczXR6WhOz/+k9E1dVQq19x4fXxF0DwNS5tbz9xy+Mu4y8+8xxv0zEeAPUz2ngvO+8Ju4y8u7HZ3wrMWOebm5m7vvfG3cZebXhC1+Ou4QBFVObOeRtV8ZdRt498W9XJuY9XtXQzNJXvy/uMvLu/m+/PxFjXj1rKidcfWHcZeTdn1/y+USMN0DFzEZaPndx3GXk3ZOv/8SIY+40D0mSJCkim2lJkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpIpvpEnXP8eXcc3x53GVIkiRNmEwmRSZT2BPO2kxLkiRJEY3rdOIqHqc82Bd3CZIkSSPqWdEQrmRD5orFe/a7/fA0evjtVCozYbUNZzItSZIkRWQyLano9df0hytlIZkoa/N4AUlKolyiPP2hsL/e9bq2IfcPT5jHOj96tOdPBJNpSZIkKSKbaUmSJCmiop3mcchP+geup9t6AUj1hfueemd1LDVJikdZx9Dc4Ihv7QTgyXc0xVGOJAmY+7XKgevrL+sZ8lhuekduWsaBDjAcq32fN1FTPkymJUmSpIhiT6Zn/jmU0D47fFLoy35I6TikO1zpj/bJY9dhg592areFn5Epy72Wy8Kp8B7bOhuA58zYFHMlSu1tB2Dp58NSS8s/sDDOciQVia8f/mMALnvqzTFXMjkMT6NHMlGJdD6ZTEuSJEkRxZZMH/a98Glk0xkVAHQ1hnkr007YAkBHa3Ok11346/CJpXpb28B9fTXhn7nyLS6HNVazKnYDsLlnSsyVJFvr3kYA1qyYOXDfvFvCe3Dq/ZsB6JsWFp6f3RO+Edn64C4AZixrLFidGqp3zToAVnzp9JgrkVRMnlNZE3cJk95o85gPlEh3bawFoHru0KX0xvr6B8NkWpIkSYoor8n0vBtDr167oXPwzuwHgpV/Gz699TcMnS+zKWIinVP9P3cD8NR/nnJQr1PqLm9aA8DHthwTcyXJ9NiPjgKgYk94Qx/x2OBpTstWbwSg9cIjADjmbx8f9mwT6biZSI/dP//9tQA80Tl34L7rfviiSK+18NtPArD27484+MKkBHrBo6+Ju4SilUuUO54NK7JVtYZj47oWdgHQsDB8o97bO/IsBE8nLkmSJCVQXpPpVHap56ffXjnCo/lZUcNEemKYSO9fui18wu2cFuZkPXnJ4Nrlzz0yvLebGZ5I79+1LbcCcMHqFxx8gRqitiUkFu2rPQZgvD7+7QsAeP1b/jRw39K/eQqA5f9z+JheY95nl4UrSw6d2OIklZyaqdnZDtnL3Cz1XCI92lzpke53nWlJkiQpZnlNpltf1n/gjaRJ6Ih3PjHhr/meDX6rMtFecdZ9ANyzNawj3R5nMUXkqe0zxrTdomtXhyvzwnzrNa+bnaeKlNPVFNK3qp35mx8qHayDWSt6+HPzORd6rEymJUmSpIhiPwOipGBHd13cJRSdr8y9B4APlvUC8IvlY0tUtX9HzQhrqG8/dy8AG3+/YMTt1lzQUqiSSt7Oo0I6V7MleWeHk8YjlzznEudPHfsbAOaldwLw9vveNuTx8XKdaUmSJClBEptMr3rFfwJwyG/fGXMlk88/zbh/4Prv2psAuLftkLjKkWKz+CfvjruEovG71qMGri9tDsn01w+7DoDHF84C4GPf+rvCFyYAMtlorHpb/PNHpQPJpcP7mzude6w8uzRcLpE+0Paj/ax8MpmWJEmSIkpsMm0iHd29XYNn/2ko64ixEknFov22wfnmdzRPB+CWV64E4N2N6wFovvhqAL647jwAVtywuJAllrT+2tzqWSOf/U1Kon1T49FW6XhNXTg24yPDnjvWFUGGz8HOB5NpSZIkKaLEJtOK7ne7jxv3c/5l5iMAfHFHOEPZjl5XllDpes3ZdwPwq9tOjbmSZKraEZKeb33pVQB88UVhBe/Lj70VgLfMuROAXW8L+5WvfPc1Ba6wdGw/PiTSFY3Zs8IR9t2NT4fbZX9+AIAdF51R8NpKyVcOD8cPvOepN8VcyeQylnT5qGXhLKwHSpadMy1JkiRNQibTAuBjW46JuwQpMUykx6azOSRBlQ+GNPSaB18BQMcx4ViNmkdq4imsBPTUhbFPzwxjPfX3Q79N7KkPf97bTKQLwkR64o11rnOciXSOybQkSZIUkcm0JGlCmUjnz7NLwmVmUZinPrMxrHTQnZ0rXbulD4Ca9XsAaJvTVOAKpbEbKT1O0iodY2UyLUmSJEVkMi1J0iTxynPvAmB3b0j/H7zm2CGP1z25DYD+tWHtb042mc6nth/PAaDuzRtjriRmmRSZTGpCUuKJTppdZ1qSJElKMJPpInTX5ScPXD/tq/fGWIkkaSK9b8ZtAHxg3atGfLxj8TQAaiorClZTMXr+rKcBuGt7CwCdvWE89/w8JNE128P63s0/uwOArje3FLbApEllCjZ3eaxzqgvJZFqSJEmKyGZakiRJishpHkXIqR2SVJxe+4kP7vfxvXPT2cvmQpRTtP60ecmI9ze8fuiBhl3vailANcVrwRseHbi+7mdHD3nsQNM5elfWA9BXH6bcVM0Ky0V2d4bfgaqaHsDTiUuSJEmJZjItSVLC/fGTXwKgvqwagFM+dkmc5UgTYngava9DL98CQNsJCwHorwpJ9fYjQ+taHc5PRNWKbC6cCUn19B0hqd7+1p4Jr3c0JtOSJElSRCbTkiQl3Av/3/viLkEqqFVfm5G91gH89RzqTHYudPuw5w2/XQgm05IkSVJEJtOSJElKtEKdFCYKk2lJkiQpIptpSZIkKSKbaUmSJCkim2lJkiQpIptpSZIkKaJUJjP2oyNTqdRWYE3+ykmMRZlMZsaBN8svx7vwHPPCK5Exd7wLzzEvvESMueNdeKU+5uNqpiVJkiQNcpqHJEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUUXo8G5fX1WXSTc35qiUxute3bkvCKTprGqsyDXPr4y4j77Y+sSMR4w3hPV5RAu/xroS8xwHS1XWZqobiHvOuPTvo7WxLxV0HQLq2LlMxtbjHG6BzU3Le4+UNdZn0jKa4y8i77lXrEzHm6am1maqZU+MuI+/aV2xKxHgDpGtKZL+yeeT9yria6XRTM/OveN/EVZVQz3zo/Yk4v3zD3HreeO15cZeRd18/6ceJGG+AiqZmFlxW/O/xFR9NxnscoKqhmaWvLu4xX/7rL8VdwoCKqc20XHRl3GXk3fJPX5mY93h6RhNzPnlZ3GXk3ZoLP5qIMa+aOZWlV10Udxl5d/8rPp2I8YawX1l8YfHvVx77/Mj7Fad5SJIkSRHZTEuSJEkR2UxLkiRJEdlMS5IkSRHZTEuSJEkR2UxLkiRJEY1raTxJkpQ8qVQGgExm5OXMc4/njLadpPEzmZYkSZIiMpmWJKlIjJZQm0RL+WMyLUmSJEWU2GT66Qu/AcAP90wDoJx+AI6p2gDAa35S/KetTLIVL6kHINU0FYAtz58z8NgZl90bS02l7PoLPg/AK6/9QMyVSCqE4XOgx7qdCbU08UymJUmSpIgSl0yfcfZjABx+298BkOkf2u/3doSSE1f4JPeVufcA8Fh3BwDXbDt7v9tvfe1SALqnhpSj8tnB9OOhT5wAwHGfeGDC69TILl9xftwlSCqgA63aMVpyPdqc6pG2N8WWxsZkWpIkSYrIZlqSJEmKKHGzJe647TlDbjeHWR+Ud2e/msq2/7tbwtdP3VPHdhCG9u89G04Z1/ZnXBoOMrxj0yEAlF/XPPBY9f/cHa58omJiitMBrb5zAQCnvSj8wlw083YALr7u4thqSoLct9S5b7BH+9Z6jMdyjahucy8AbbMStztNjEX/vRGANX875wBb6kAOdHKW3P3HLloPwGPrw5hPaWgHYNeuunyXKJUck2lJkiQposREKZW7sklz49CIaNpdWwHon1IDwMo31GcfMZEuhD9/NyTWZ73tnhEfP2P2KgBWLuseuG/xvSbS4zH9wbDsY11rJwBr/qY28mt194df6VJPpIdr/q87AOh6RXg/l3WFMd+zsHLIdsOT7LEwkT4wE+loohwUmHtO6/cPDdu/KOxXzpi9BoCvnXQXAIfedNGIrzvWJfc01D0n/hSAU+5/Y8yVKA4m05IkSVJEsUUqS763HYAN50wHoG5THwD1/x0+NT/z2TMAePqiGTFUp9u+HxK8s0dJpIdb/NP1+SynqG07vix7GT2Rznng1iMAePLt4aRHR3znkoN+zclktNBux0Vhf1K9M/stwKObANizcP5+n6eJ0bE0pKNl6ZB6Vj1aE2c5k0Z6TfXA9ert4U3ak53y3FOfGXL/3D/vBWDFZeUA7HxBGPPs+c644YlwPNKhTww9Lmk4l8OLxkS6tJlMS5IkSRHFlkynOsMc28YVPQCU9YSPz+k5swFouT6cPGT1K8eXYFQs3gNAz8qGCamzVJ39d2NLpFV4Lf8Y5v+u/tczRt2m1BLpsepsCvlB5znzY66ktCxdGL4JmF4d0tP7Hj06znISb/4vwp/mulW7Bu7rf+iJcPn8cFKsvqqQQK+5MHyru3t9+GZrwY/D7a3HhWNXOo8Kf0sPtAqIxmZ3W/i2oPa2cPzWjAfaANj50Y6Dfu3GmvAauzr85mZ/zjg/nBDujp+cEHMlg0ymJUmSpIhiS6afunjo0d3p9vBpOX1COAK5b2Cq2PiOLDaR3r8bVx4JDKYU/SvDp+uXvuTe2GoqNb01YezTHdESov0l0opmrAsYTL//2YHr206cmqdqis+a37eEy3jLSLzDvhlS5e7GkDrvOWzKwGMb3n/ikG1Tqb4ht7e8rAuA/vbsn/WK8O1vQ0OYO7139/7TzlJOrjtuD8du1Txv2189VvaTaQA0LQ/fqkx7+EkAUkvCORY2n9UEQDljS6a3bws9ytSmkGgvatz5V9vswmR6f+7Y0AJA2wlhzOseiH+8TKYlSZKkiBKzQGrtyeET4Y6t4ZN4eqtrFefDeYufGHrHofHUUYoyh4YzkPXvrAp3dJTHWE1xe96lYc7/nZtbANh1b1gVqGH10O3Gu660abTyae/CkLBtenlIlVOp3oHHxpoXl9WG51TXhtco/31ITjm9c8TtS3ld6WkfD31Gx5wwZrU3DOaL/Q8vB6Ds+KMAaD23EYCuK5cCcPS8DQCU7+4f38+cvmfI7fV73KeM156t4Rv1mrXj6xPnX78ZgNZXzprwmkymJUmSpIgSk0zvfjzMS0pMQdIESz0TjravPMB22r/3fjicaeya1WcP3Hfi9HUAHF+3FoCv/fvrgcHEefiRFAeaFjr88RIO71RAuUT6YOTmPHe0hW/AOkZJpAV9NSHZ3L0odB7rzh1MiesWhES6uiKb9LMtexms291UoCqVc/ab7gOgtT18S/DM8sVDHp//7ccASDWH/5t1r50LwNyvZZ/3DyflrTaTaUmSJCkig2BJk8pbG8LZU7/cMzhf7tf3hJUO/nJ3OHNn6a1HoFIXdRWOUly9I2f1q8Ic9cajQuo8Lc5idEC3XTdysjz7jrAySs9x4SCwVM/Qeewb8phI55hMS5IkSRGZTEuaVE752F+f3XH6GJ87fPWO3O3h9ztHWkk3UYny/lbzKPbUuvGo7XGXoAj2HBHOnD31kfDtZMX6HQBk2sPxAX1bt4YNzzizYDWZTEuSJEkRmUxLKnoHCthMog+s7NRdA9ePmxXW2K1Lh7Pu3f7LE/b73HdecAMAPZmwtvp3f3hePkosGhOx9nNqR3bdoGnh/yiXMpfymQ41uXXMDO/d2beG/Uhb9kTa696wYNiWSwpYVWAyLUmSJEVkMi2p6Jk8H7z+uxsHrt95TEg9q6vD3EVOfhaATx5zPQCvr98NwF86w1H1X1p/LgBP3HB4QWqd7IanyJFeozm7ZvUoiXQpn/lQk1Nda3jv9tTEXMgITKYlSZKkiJKfTOc+PDu9S1KeDF/NQ/tX9Ug4m2duuCr2hsv/d+8F4TKGmjTUeOdGO4daSfHw+68G4NgvXDrk/v7sYQDdlcl7r5pMS5IkSRElP5lO3gcQSdI+eur3//ise8KKEuXZM5NtODOBkx4TaN+0+EBznA/0uHOlNVkMT6QnA5NpSZIkKaLkJ9OSlGeGdRNjwU17htwu3xpW+ehdvRaA1o8U7oxkxWZ4sjzehHm07Z0rLR08k2lJkiQpIptpSZIkKSKneUiSJsS6FzcMuyd3e36hSylaYz2QcPj0jdGe5+nFpYNnMi1JkiRFZDItAP70g1MAeP6F98RciVR4nrRFk81EJckm0tLBM5mWJEmSIjKZLlE3/TIk0S9+bUiiTaRVSoaHcSbSKhUm0dLEM5mWJEmSIjKZLlG5RFoqRSbRKqwMqVTGVFgqUibTkiRJUkQ205Ik5VXKVFoqYjbTkiRJUkQ205IkSVJENtOSJElSRKlMZuyHtadSqa3AmvyVkxiLMpnMjLiLcLwLzzEvvBIZc8e78BzzwkvEmDvehVfqYz6uZlqSJEnSIKd5SJIkSRHZTEuSJEkR2UxLkiRJEdlMS5IkSRHZTEuSJEkR2UxLkiRJEdlMS5IkSRHZTEuSJEkR2UxLkiRJEaXHs3F5bV2morE5X7UkRtfG1m1JOEVn+ZS6TMWMxrjLyLuuZzYkYrwB0rV1mYqpxf8e79yUjPc4QEVVXaaqrrjHvKttBz1dbam46wAoryuR/fiG5LzH0zUlsl/ZnIwxL2+oy6SnNcVdRt51r1mfiPEGSE+pzVTMLP5+pXPlxhHHfFzNdEVjMy3vuHLiqkqoJz91ZSLOL18xo5FFn7s47jLy7qk3fDwR4w1QMbWZlouK/z2+/NPJeI8DVNU1c+yLr4i7jLx6+Kar4i5hQEVjMwsveV/cZeTd0//0/sS8xyumNnPYW4t/v/LoF5OxX0lPa2L2xy+Pu4y8W3vR/03EeANUzGzk0C+8M+4y8u7x13xyxDF3mockSZIUkc20JEmSFJHNtCRJkhSRzbQkSZIUkc20JEmSFJHNWtEkSwAAB85JREFUtCRJkhSRzbQkSZIUkc20JEmSFNGka6YXXfUIi656JO4yJEmSpMnXTEuSJElJMa7TiSfBmiuOibsESZIkCTCZliRJkiJLXDI974XrAFi5buaQ+9NVveGyom/I/c317QDsuH12AaqTJEmKZt7vygFY/7K+A2ypycRkWpIkSYrIZlqSJEmKKHHTPNb/cQEA1dnb3Ud2ANDfH/r+3p5wf/qxOgB2MKWg9Uma/BqeehaArplhP9LdOHRXWLuhE4D09jYAdh8zrYDVSSpWuxeVZ685zaOYmExLkiRJESUumc7pmt4PQNn6kFFXb0kB0Fc96lMkab8q9oQ0qL+6AoDdiyoBqH427G82nRbyhVl3hx1Naq47HElj9/mzfgrAmu7pAHz1rhcNebwv7HI47DthUYUVb09sG6ZxMJmWJEmSIkrsR6LyzpBE12wMlz0NcVYjqRj01ob5il2NYa50LpGefvlqAOanw0EZrcc0AlBRHpLsnmtcejOKebd2A5C+5T4A1nzyjDjLKWn/9Z4vA3BSVYhGj/v3S+Msp+hcefofAHh9/W4ALm59zpDHF/4qZJe7w2FhlHdkDwBLbhumcTCZliRJkiJK7Eei9F4TaZWGlp9sAGDjeXMA6GpMxVlOUevP7vHK+jIAbHxNSE7XP7YIgJYlm8MG35oBwB+/cg0Az+PiAlY5+TU/Fsa3etU2AFYOS6R7DgmrpVSsck56oVz0lffGXUJRO6q6FYDv7w5zpX//yNBkuvr6uwFY++2TAdh1Uk0Bq1O+mUxLkiRJESU2mZZKRdvSkIJOf6gdgPXPr4uznKKWygy9PedXlUNu99wydG50e393vksqCgtuDklzf3nIZ8r6wlz0Z08aOp4zT9sEwKUttwLwiVVvKlCFUn7dsOs4AH756PEjPv7/27u/0CrrOI7j77XpbLb5Zxbl7M8kQU/KFCpFEpdRoRARUheKedGVhlEXEYEXXggh3RUtqG4M9CKRqMAgsISh2R8Q0S3Ucvhnas2l++MwZztd/M7cZs7NZzvP82zn/brZ85znxzlffuOc/fY5v+f3O55LpJW8K6f79icpvRQ+s0pqLo/oOU2mJUmSpIhSl0xXbz8NQNP6hxKuZHzZWvMVAL9dnQnAjmNPJFmO+mmpCWsez3rvl/DA8qUJVqP+nntzU9IljAk9JSGXaV4+8ZbXV6w8BEBd1UEA5n624bbP9+369wFYuf3t0SpRyotty3YBsPdyBoDsdTPKtJvY1ndfUmlr+DnS/Sj9rUuSJEkRpS6ZNpHOj82HXwRg1eyGhCvRYM6+ayKtsWmwRLrXkvLfgaET6V4m0hor3ql/OekSNISZLzUC0LZ2CQBXK/uS6YozYSfKSyN8DZNpSZIkKaLUJdM3e3DrAQDObDa1Gw0LJoe1MNc9/iMAC0tLAZi3f11iNY0HDZvqbhwfvBpmX732qfNtJYBfO6uTLkHSOHFk8U4AFvy0Zljtz32ZyR21/+/aSBPpXibTkiRJUkSpT6aLFoVdhGZ9fwWAsytcg3cw078oA+DvV7oGbbPtyPNxlVNQHvtw46DXypf9BUBH/X1xlaNBdFQVA1DefGf3bpefCIlGx5yKIVqqv7nLTwLw3R7X2M2XB/a1AXC+dkrClRSWPc98AMCqvW8kXEnhGW4iHSeTaUmSJCmi1CfT16eEOb3nnpqUcCXpVb3hHABF94TUvrStLwG961rYiayzKtxt/8/U3A5l3WEruK5nO2Ors1BNKQ27w02sPQ9Ac8tUACY13J1YTYWmdX5IpCtOZodoGZR0hfdN2fGLALQv9FuFO5GpDat3HGsJ/Tb/6RMAHP1hTmI1jVfZQ7kVmmrDfUXt87rDeU9YsaDiWOr/zI9JJtLqz2RakiRJiii1/7JWNoY5jSbSQ2v6eOaA86qPem4cl564AEDxvpBeF1dODxd6cgndrtxzfDIrv0UWsONN9w84n/1ImEN9ocE+j0vl0eHNkZ68+2cArqx+EjCRjqpx36MATFgQ5vOaSOfPhbcGrnRV1hR2VC3pvXXGyEzKO99mkiRJUkSpTaZbM8VJlzBmNb/e3e+s8qafQbaxHIDyUyGhnrEzpNkX1wy+EoiiKfsjN199eujrM5OnATAhsYpU0RhWF23PTBvweG8irdHRfcQVJuJWfC13YFQmxca3myRJkhRRapNp5VdRpgOAztzGQK7pkX/T5rUC0LV/RsKVFK6K+iYA/v0zzFsnszjBasavGYdz33TVmNfErahn6DaSRpefdJIkSVJEJtNSTEykk9e+rDp3VH3bdhoZE2lJhcRPPEmSJCkiB9OSJElSRA6mJUmSpIgcTEuSJEkROZiWJEmSInIwLUmSJEUUy9J4jRvrbhxn6jbG8ZKSJElS3plMS5IkSRHFkkwPJ43e8uoOAPZeDvtb13+9KK81SZIkSSNlMi1JkiRFlJrtxLd8vvaWj7+w+gAA3+xeGmc5kiRJ0pBMpiVJkqSIUpNMD8ZEWpIkSWllMi1JkiRFVJTNZoffuKioBTiVv3JS4+FsNntv0kXY3/Gzz+NXIH1uf8fPPo9fKvrc/o5foff5HQ2mJUmSJPVxmockSZIUkYNpSZIkKSIH05IkSVJEDqYlSZKkiBxMS5IkSRE5mJYkSZIicjAtSZIkReRgWpIkSYrIwbQkSZIU0X8sN9yZul2DRAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "W_0 = model.W_0.detach().cpu().numpy()\n", - "plt.imshow(W_0[:,1].reshape((28,28)))\n", + "fig, ax = plt.subplots(ncols=8, nrows=8, figsize=(13, 10))\n", + "for i in range(8):\n", + " for j in range(8):\n", + " ax[i, j].imshow(W_0[:, i*8+j].reshape((28,28)))\n", + " ax[i, j].set_xticks([])\n", + " ax[i, j].set_yticks([])\n", + "\n", "plt.show()" ] }, @@ -269,11 +376,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 136, "metadata": {}, "outputs": [], "source": [ "class MultilayerPerceptronQuantized(torch.nn.Module):\n", + " \n", " def __init__(self, input_dim, output_dim, hidden_dim,mask,labels,centroids):\n", " super(MultilayerPerceptronQuantized, self).__init__()\n", " self.mask = torch.nn.Parameter(mask,requires_grad=False)\n", @@ -303,10 +411,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 137, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1013,)\n", + "torch.Size([2]) torch.Size([784, 64])\n" + ] + } + ], "source": [ + "from sklearn.cluster import KMeans\n", + "\n", "# convert weight and mask matrices into numpy arrays\n", "W_0 = model.W_0.detach().cpu().numpy()\n", "mask = model.mask.detach().cpu().numpy()\n", @@ -314,13 +433,19 @@ "# Figure out the indices of non-zero entries \n", "inds = np.where(mask!=0)\n", "# Figure out the values of non-zero entries\n", - "vals = W_0[inds]\n", - "\n", + "vals = np.expand_dims(W_0[inds], 1)\n", "### TODO: perform clustering on vals\n", - "\n", + "kmeans = KMeans(n_clusters=2).fit(vals)\n", "### TODO: turn the label matrix and centroids into a torch tensor\n", - "labels = torch.tensor(...,dtype=torch.long,device=device)\n", - "centroids = torch.tensor(...,device=device)" + "print(kmeans.labels_.shape)\n", + "labels = np.zeros_like(W_0)\n", + "labels[inds] = kmeans.labels_\n", + "labels = torch.tensor(labels, dtype=torch.long, device=device)\n", + "labels = labels.squeeze()\n", + "centroids = torch.tensor(kmeans.cluster_centers_, device=device)\n", + "#entroids = centroids.view(1)\n", + "centroids = centroids.squeeze()\n", + "print(centroids.shape, labels.shape)" ] }, { @@ -332,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 138, "metadata": {}, "outputs": [], "source": [ @@ -355,9 +480,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 139, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration: 1. Loss: 0.346796452999115. Accuracy: 91.\n", + "Iteration: 2. Loss: 0.27467113733291626. Accuracy: 91.\n", + "Iteration: 3. Loss: 0.2498120814561844. Accuracy: 92.\n", + "Iteration: 4. Loss: 0.23489852249622345. Accuracy: 92.\n", + "Iteration: 5. Loss: 0.2507494390010834. Accuracy: 92.\n", + "Iteration: 6. Loss: 0.2647168040275574. Accuracy: 92.\n", + "Iteration: 7. Loss: 0.28545305132865906. Accuracy: 92.\n", + "Iteration: 8. Loss: 0.30044275522232056. Accuracy: 92.\n", + "Iteration: 9. Loss: 0.23142792284488678. Accuracy: 92.\n", + "Iteration: 10. Loss: 0.37288159132003784. Accuracy: 92.\n" + ] + } + ], "source": [ "optimizer = torch.optim.Adam(model_q.parameters(), lr=lr_rate, weight_decay=1e-3)\n", "iter = 0\n", @@ -384,6 +526,7 @@ " # for gpu, bring the predicted and labels back to cpu fro python operations to work\n", " correct+= (predicted == labels).sum()\n", " accuracy = 100 * correct/total\n", + " iter += 1\n", " print(\"Iteration: {}. Loss: {}. Accuracy: {}.\".format(iter, loss.item(), accuracy))\n", "torch.save(model.state_dict(),'mnist_quantized.h5')" ] @@ -397,12 +540,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 140, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "W_0 = (model_q.mask*model_q.centroids[model_q.labels]).detach().cpu().numpy()\n", - "plt.imshow(W_0[:,1].reshape((28,28)))\n", + "fig, ax = plt.subplots(ncols=8, nrows=8, figsize=(13, 10))\n", + "for i in range(8):\n", + " for j in range(8):\n", + " ax[i, j].imshow(W_0[:, i*8+j].reshape((28,28)))\n", + " ax[i, j].set_xticks([])\n", + " ax[i, j].set_yticks([])\n", + "\n", "plt.show()" ] }, @@ -413,8 +573,13 @@ "Certainly a much more parsimonious representation. The obvious question now becomes:\n", "\n", "### Q7: How low can you go? How small can the centroid codebook be before we see a substantial degradation in test set accuracy?\n", + "Even with k=2, the network still reached around 94% accuracy! K=1 resulted in 85% accuracy as well. We don't impose any regularization/quantization on the second hidden layer, so that may be compensating for the parsimonious representation in the first layer.\n", + "\n", + "### Bonus question: Try establishing the sparsity pattern using a model that's only been trained for a single epoch, then fine tune the pruned model and quantize as normal. How does this compare to pruning a model that has been fully trained? \n", + "\n", + "Using the fully-trained network as a baseline resulted in 93% after pruning and 92% after pruning and quantization.\n", "\n", - "### Bonus question: Try establishing the sparsity pattern using a model that's only been trained for a single epoch, then fine tune the pruned model and quantize as normal. How does this compare to pruning a model that has been fully trained? " + "Using a threshold of 0.5 times (compression ratio of 16) the maximum weight value and 2 centroids, the final quantized network reaches 91% accuracy after quantization and pruning (even though the full network was only trained for one epoch). It had 93% accuracy after pruning. Pretty comparable to the results above! I bet if the dataset was larger/network was more complex we wouldn't see this behavior." ] }, { @@ -441,7 +606,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.7.1" } }, "nbformat": 4, diff --git a/mnist_pretrained.h5 b/mnist_pretrained.h5 new file mode 100644 index 0000000..32a45ef Binary files /dev/null and b/mnist_pretrained.h5 differ diff --git a/mnist_pruned.h5 b/mnist_pruned.h5 new file mode 100644 index 0000000..b4aaf53 Binary files /dev/null and b/mnist_pruned.h5 differ diff --git a/mnist_quantized.h5 b/mnist_quantized.h5 new file mode 100644 index 0000000..dce8a45 Binary files /dev/null and b/mnist_quantized.h5 differ