Pytorch-day10-模型部署&推理.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型部署&推理\n",
    "- 模型部署\n",
    "- 模型推理\n",
    "\n",
    "我们会将PyTorch训练好的模型转换为ONNX 格式，然后使用ONNX Runtime运行它进行推理"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    },
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y5fPnqx2p0yXz59//wAPhR8vLym5euDB0W6fVPvHUU9Nnzgw/qqrqVVdc4e2I1S6++OJ777tP17GPO53Od99+e8Wnn7a1tQWDQc45MabVaOLj48+aM+fWX/0qIyOjS2PuW7Ro//79odtmk+kfzz8/eEjP72L9V1899eSTh39r551//u8feywYDF571VUeT9cuCCGMseSUlAsuuOCqa64Jzwfa3WfLl//tr3+NXDJ5ypS//O1vh/m9zzlfcMUVkZnjjT//+S233hq5jt1mu2/RooqKivCSadOn//6xx+Li4g7/1k5biPNORionv6wqKmeMGJFWFHTiD/jxz7l6cEsUJGWqQupJWXUXTlEHvVKtr4ecLuRn2dbHRmXECGxeqrnYHehyhhpQ+UsVTTW+IO84+Y/TiLfkWM8wd+1hZ9IIc5PizVrRrNX8Zk+V79Bz3XSD9ukxmT/LTowsEMGJvIpqC8gNAanRL3nknjsQMkZnJhiHGztzwBK3v7Ct1xHrjDENo3iNmKTTmLWiVafR9W3sq8J5q6zaA1KdX3JKik9RVU6h2iACEWNMIBIZJeu1Z1k7j7VtsrKqsdXf8X61Ajs3OT5Z137QCah8b4u3wd/r588Y6QUhXiOm6DVmrZigFY9YQ4MTeWS1MSDV+yVbUPLKoWb2sOLl6ZZ4zSk1tBnaBbv9NtXFU/ZUyltAG/5I3qYjPH3Cb0ly0cHPKXBoMM+Vw3SfOW/OmefNOTNyyXe78h984p+h2zddd9m0yeP62v6opddpb7j6ktkYPwsnsfj4+ImTJsmyzDnXaDShDjUpKSmR8RxjLD09vUsRjBCtVpubmxtaJ3J5qCou5zy8XKvV5uTk9LhmVlZWenq6LMtEJAiCKIq9dbQBOK2pqtriUlxOxWEPFuzzb9vs//Zr4ty3blXseRcxUdRkZic//4Z3zUrfhnVcCvKA37dxHRGRIDCDQZOVY7ztx4Yp0+p+fB7TaolYYNc2IrLdc1vMrLMN02Zph44QExKFRKsQF9/9cp1Wp9NqNOXl5aG7mzZujIzzNm7YUFtTE767efPmyDivrra2sqpKCgaJiDFmjIsL9T6TZXnr1q1//P3vKzo2G8nhcFRWVq5Yvnzx/fdfdc01kcP5bU1N4ZfzJiSEinT3yOv1RjasR06nk4g45/V1deE+ht3VVFfv3rnz448+euqZZ6aeeWaP6/zvv//t8nJ2u/2Bhx5KibiM0UVpaWlpSUnkkk8+/vjGhQsjO+iVlZXl5+e7nJ39kLZv24beeYeBOO8kwom21bRWtwQcPqmyOeCVlFCXlqRYbY7FkGDQ5FoMI5JijrYuJHc3qo6SI693zFSZmEhcISa2fyFylbhKgoY47/uoIs5VxHlwIhW0+TxKr39yGkaMSOYkqbxL6pUdo5tkif2sobkmYt69GJGdlxw/zGjoMt7WIAo6gamctIwRO6TvT6wo/Hpw8oIMS+RO7VXUjXb3iobm7S5vQ0DyqarSS78+gbE/5WVGxnlfNrU+caD+MG9ZINIILF4jpuu0063GazMTx5tjDrOLyiqv9geX17d862wrdgccQdmvcJU4D+VkjBix0CSCjGh6ovEsa+ccwy5Jeaiwzt7RsTFeI3505pBwnNcmK/8qb1rV1NrbS4cqCOsEZtaKg2J151jjbhyUlKLv+ZjFiQIqX9XYsryhZU+L1xaQfYoaamcPW2Y0yxqHOO8Udeifc+Zkmnk3jbmCGvf26fgSm0pnPEv1X1P+i1T9GdExHpKCwc5vBp+/51lr3R7vwZoGt8cXZ4wZlJkWF9f1SkAgKEmSxIhpNKJeryMiu8NVW2+TZDkp0ZKVkarp6W9YVdXa+ia7s0VRFIspLjMjNcbQa89fWVbqGmx2ZzPnPMESn5WRqjt0zAsRBQJBSVaIuFaj0et1gaBUXFoly/KIYTnG2M6ZxTgR72Xigr7z+QMHa+pbWt0Ggz49NSnZmhD5qNfrUzlnjImCYDj0TQWDkiTLgiDEdFselGVGJMmyxdTzWGk4rQiCoDu0K1z32O4wXUv6/tBh1hRFscvQPAAIk8pLvWu/kAq+l6qr5JqDcm019/lEa7J2+Cguy46H7tG8mUWCQIzpRuXFzDlXsTcFv9/j3/xNy+svsVij+ba7DVOn68ZNEIxxwcL9RERanW/96tbXX9aNHsvi4twfvtO65EXBZNZkDdJkDdLmDtHljTfMnhuaei9s5KhR4TivtKTE6/WGytqoivLtpkNqS369fv29ixeH71ZWVoaPhnq9Pjc3lzGmquryTz/94x/+4IkYw9tdc3PzM089ZbPZ7rjzTnYSBP3lZWX33H33ex98MCgnp8tDlRUV27/7rsvCgN//71deefjRR3vb4K6dO7ssqa+rKy0pGT2mc4hDQX5+S3Nz5Dp1dXXNzc3h4uPQBeK8k4Ks8u21ba/urM9v8vTWAYARaUQ2M9t84xmp41KNfY/01MoN5G8+8nrHiJMxhYJupjPygJtUiYhIZySNnrwOUiTSxhLv0098JmpJPAXHG8JJa2eLV+l97N0LFTaVU5xWXFJltwfkyIfmpZrfmpzb/SmM2A6X5+e7KiMXGkTh0jTztATj61V2f8SAO5HRecmm23KTInOler/0p5KG58ttSh9m0hEYBQ7t6+dVuO3QpvZCKiL/ekfbK5X2tyblXpJm7vH7pM4vvVvj+FtpY4Nf7su8Pi3SIdkH59QiKa6OhTInOaK1KqdmSelLa6t9tL/V90VDyz/Lm96cNPic5PgureVEZe7AsyUNbx10yH343BjRYf7f4RShj6NzHqC5D3VcZKI+jLQl4pxEHWVdSFkXUPkntOU3FOw2fv4HC0rSOx+tXPHlN21ub2iJwaC7cv551/74R8ZYQ0dD+Bvvfbriy28YY+efPf3WG69Y+p/Pln22LhRRC4xNHD/qj7/7VZdUq7Si+p+vvFdQ3DlExZpovvqyC6667PzuzcgvKnvx9Y9KyqrC1wtystNvuf7HM888I3K1f732wfpNO4jzubOn/HjeOY88/YLD2UJE9/7mhnnnz+6vz8TnD3yyYu0nK74KfyaiKM6cOv7m6y/PzkwLLfls9cY3P1jBGMvOTH320bss5vZ4zuv1PfuPN3Z+XzQoI+339/8yPbX9F38gGPzzv97asmMfI5o+Zdwji27t/roAAHBSUeprnI/9jgf8TKvVjZ+UcM3PYn80Xzsqj4li6xsv2++7vfnvz3K/j1SFBwNEJCalxJx7oWHGWZ4vP9Pm5Fru7EzWSJaJSGmosy36FTPEJP35BcP02dzv8+/a7v1ihXfN5941K4lzId6U+U3XKeZHjBz5xcqVodvBYLCstHTc+PFE1NDYWFVVFblmQX5+VVVVTkfgVVFerkbEeTmDBxNRZUXFi88/H5nlhSb0HD5iRHV19fqvvgpff/Z4PP/429/G5OWdd34PB+6jMmjQoLT09C4Lhw3tYfZAvcEwevRojUbjsNsjR7kSUUN9/Yrly2+/884uT3ljyZJAoIerlW+/9dZdv/1tfHzP18927tjRZYnf79+7Z09knLd1yxb10KuDiqLs2L79oosv7nGbgDhvgHFOZS7fv3fWb65u9cuHi704kaTwbyqbt9W0jk81Xp2XPCPbpBePlNyrslq9tR8aqsrEBCIirpIgkiKTqCVVJuKaoeerNduEMVeqhf9T7UXENIJ1BDNnq1UbWfoktWg56ft2SVzQkgazh8CJU9T7uFQiUji9UGGjnjIA3nswwHnXh3yK+mGt6+NaV5fdO1GnuXGQNUXf2RfGGVSeOlC/tNrZlyyvXziD8m17qpZOzj0nydSlJMS2cQAAIABJREFUB6I9KD9RVP9OjdMtnxR9ZjlRrU96prghL96QajikA1GNN/hYUd1Hda6+ZHlwipP9FGuloXPonAcoa+pRF53w1JPsJU0sEaMhV1HqNNr3f1S9PHSw65cGVh6s+/sr7+4rKI1c6PMF3v1oZVFxxf13LUxKtHQs9PsDQSKqa7A99/zSDVs6TzYUznfsKbjjd88++/u7k6wWIpJk+dOVX7/x3qehp4TZHc0vvfHR3vziu395XWhNIvJ4fR/+b/U7H63s3rZHn3nx8ovn3njt/HBY5vcH/P4AERUWV+7c86Ld0X51sB9rWdTWN/395Xd37zsQ2Z9WluUNW3YVl1X95uZrQjVwZ0+f+Pp7n0qSbHc01zXYwi1saXXvLyr3+wMHa+sP1jSE47yWVndNXZPfHxAF4bw50/qrtQAAcPzop8xIWPyI60+PGWaenfzCG5r0zPBD8dff7Nu03vvFClIVMTmVIkMfdsg/IarfS0SeL5bzYCDhvkcNZ84kxlhMbMyss2Nmzom/+rqG6y/nkpT03IvanK6z0Q0dOlSj0YTGxRNRYUFBKM6rqqyMHAca8sF77/3uwQeJiHNeVVkZTqMMMTGhmO/zzz6rjIjJMjIynnzmmbPmzAl14y0vK3vwd7/btXNn+CD4wXvvTZs2La6XUKyPbly4cOHNN/dlzbS0tOdfeiktLY2ImhobH3/ssVVffhluTOWhAR8R2W22zz//PHRbEITx48eXlpa63W4ikmV5zapVV151VfdXCfj9B4qKuiyUJOn7vXuvvOqqUL9pr8ezs1sPPiLaumUL4rzeIM4bSJxoZ33bXzbXlDqPoqKrX1a317YdcPjOGmS6dmzKCGvsYea/4h6bau+65xwGY0yjE1RZlWXeeR6kKiw2WRh6HnFFrdzI3fVC+gQhawpvrVdKV6u2Au5vJa2RiJgpW0jNU+0l3N/MsqaJoy7njfu4u4GEPvylaQ0kdh3mA3D8RA6V7VE/hkPdo/px8TFnJXbONKdw/k6N463qzviMMTIIQoZBOyLOkKgThW7TwDGiocbDdWgdZtSNiIvRCO1z28mc6vxSYZvXK3f2mK33S+9WOydbjBZtZyfBFkl56kD929UOT0R3Qg1jJo0wKFaXHaPTCwIRVfkC213eo/oceqMT2DhTTJpeKzImMhIY86tquSdw0BsMt0El2uBo+7Sh5Ze5nf3tOdE7Nc7/1TcHO7r+MaI4UUyP0QyPM1i0PX1ujOI1Az+EAY6LtHE09ec04kI6tjrRB5aSr46mPELWM4iIjNk09TkavpAq3mu/oPXDBIPS039bUlZZQ0R6vW7S+NFZGckl5dXf55eoqrpzb+Gf/vHGM4/eFRpFGx5Lu2f/AUVR0lKSzhg7PBAI7thT4Pb4iKjiYN2yz7765c8XENHOPYVvfbAilOUNHzro3NlT44yxW3fu2/zdXs751h37UpO/vOMXPwltcO032z5avjZ0OyUpcerEPEFgO/YU1DfaiejzNRuNsYabr/9x6DQjPCrwYE19ZNwWOaC43TFVu2lt8/z+2ZcqD9YRkSAIY0YOHj1iSGOTY8feAq/X39DkeO6FpTqddurEvNTkxJys9NKKao/X19BkHzOy/exrf1F5S2sbEfkDwfyismmTx4a3bHO4iMiaaBmUlXYMbQM4BionZ0BxBdSAwonIIDKzXrAajnj5HQCIiJheb7rtLsXlaP33884/PpDy4lvUMeyU6fXJf3m5vrIisHcn5yrvfRa5EB4IEBH3eWMvutT8m3spYpC7Ymu0P3yP3FCX9OcXYn80v/tzk1NSTGaz0+EI3S0sKAjdKCstbWlp6bLy5ytW3H3PPQaDwefz1dd3TnozZMgQk8nEOf/oww8j1//1HXfMPuus8JD8wUOG/OaOO+69++7wlgvy86urqyP7rJ0wKampl15++dfr1/v97Z0eus/vuWnjxnBPQ73B8LOf//yvzz3n7ljy9ddfX3zJJTExMV2eVVdf3/2jI6L8/Py2tjar1UpEa9as6TLSNmTL5s0/4D2d4hDnDaSCJs+j6yrt3iN8GXXHiVr88mfFzg1VrXecmXHpSKuml0iPt9WTv4c9pztRZMRYW1DZW9CanagfZNV1XvNgJM68hzeXkb9VM3mhXLhcnH67suM1YdgFgt8lDD1fPfA5qRKZMjR5VytFy4WkESx1rFq9jYJtJPu7TmbUC6Y3k/aYTsAAjkmr9ENnejpmAqPpiXFW/SHDbJdU2iO7wmUZdHcMSf5ZtjXNoD22UjiXpiU8m5cZWe9C4fw7l/d3+TWbnZ5QH0BOtM3lafBL4TjPr/C3q52vVtq9EVmeQWCXplvuGpIyNcGoF1joicvqXFd918OEvscgRhQeHpl+RbolcqFfUVc0ttz5fXVjR8WMoMqfL2+6NTcp/JZqfcHXKu2RsWNOrO53w9Ouy06MP3LxDDjl3PTfH/T0QDOVfUzVn9PEB2jsHaRPJFFP1slknfzDm8Y5f/ODFaEsTxTFu37504vObZ88+71PvnjjveWqquYXle/cW9CldIaqqmdOynvg7pvNpjgiqq5tuP3+ZzxePxEVllS4Pb4Yg3777nyvz09EY0cP+8fT94WeeN7Z0/7+8rur129RVXX5lxtuuu5yY2yMzx949a1lgUCQEU0YP+oP990WHxcbepXH//zqpm17ZFn5z//WXHbR3OSkQ6auI6LU5MRrr/jR2NHDAoFgWoq1y9tra/PYHc1dZqzknMfFxcbG9DyJNef8fyvXV1XXhz6T6xZcdOO180NnDrv3FT36zEs+n7+1zfPGe8tHjxgcGxszesTg0orqYFCqqKrjs9srD6zf1Dl9z/bd+Tdff3nodm1dU3NLGxFlZ6aa4o19/G+C08GB5uD9WxyBiGkXhlkMT041W/Rdp7TjRCurPP/Kbwv3A+KcJlk1D062mg5d2a/ware8psa3qtpb3hJ0+mUu6ohIUIIJejElVhxrNcxK1U9KNqTEiEatEC5xZ/MpD29zVHuU3q4hikRGHRti0k9N1p2ZYkiNFbV9K2MFEKUEY5z1ib8otibPsg/sZov18T8zvYGIiKuk1cbfcHOwaD/3ev07tgrxJsFsbn80jHPu8ypOp3/TN0QkWBIt9zzEmBCe0l31uG133hLYuS3x/sdMN/2qxzYkJycnWCzhOK+kpERRFEEQ9u7dG+58xxgLHfKcTuf+ffumTJ3q8XiamjqLbk2bPp0xVlRUVFdbG15oTUr6yU9/Gjm9JmNsxowZGRkZ4bSrsbHx4MGDAxLncc7tNltkwY1Ro0dHrhAIBDZt2hRewWwyXXDhhV+tXVvb8R73f/99XW3t0GHD6FB1tbXuiOIbuYMHh/r9FRcX2202q9XKOX/37bdDj2o0GkNMTHj9utpap8ORaLUSdIM4b8BUNvsfXX8sWV6k1oD89601LQH5ytHJpm6/QoiIvEee94cRKUQ7q9yr9zavLWzec9Bz8+zU524cQv6IQXauUsGSo7h3yHveE9LPUCs2KqWr1aYCJmrZkPNIkUjQaKbdoVZuUPKXacZeSUTcWabaD6jOUhbXt6viBhPToGwNnDjdxsWeOFrGxpkMmohj+e4W38GI3oLxGmHxsNRfDU7uY/HZHqnd3qDI2PRE48Mj03+xuyrcObFZUmr90qj49r3PHpRW1DdHZnlGUbg1N2nx8LSMYw0Wj4jzHupWGETh8jSLMyDfs7/a13HeddAXbAxIaXotEXGi5Q0tdYHOb9E4jfDoyIzrsxP1ONuBYyb7aOcfyHOQ5rzWj1u1OVybtu4O3T5/zpnhLI+Irltw8Y7dBXvzi4OS9H1+ydSJeZE/9JOTEh787S3hQCo7M+3SH539wX9XEZHH4/N4fTqdxtXcXlVm5LDO+ar1Ou1F5870BwLEiRNvbnUbY2P+87/V/kCAiAwG/U0/vSy+owSHIAg3XXf5gbKqJptTUZTX3/v0d3ctjGx/Wor1kUW3jhrew7ShRBQIBF98/cNX3vqky3LO+a0/u/LSi+b0+KyWNvfu74tC+/5Z0ycu/Oll4Ycmjhu1+PafPf23JYqi1tY3HSitmnzG6BFDczQaUZaV8qoalXORsZZW9559xeFnlVfW1Dfa0lOTiajgQPvFhtxBGZFVOwDMWsElUWmL1H7YYVTrkeuHayyppi5r7ncGH9ne3ODrqG3NmFVLd+YEYgQLUfuvblnlO22Bd4rbNjUGmnyqyjlxTpyRHCQihZg9wO1BpaDF+1FpW2KMdlSCfuHwmPm5xtDV7mq39J2LN7YdYbjAhgbpzSIl16S7YrDxV2NMJh16+8EpLvGRpxW7rW3pa5qMLPNtdwWLCnwb1/s2rgts38IDAeJku+Mmbc4Qw/RZ+jNnGSZMJlXlshTYvcO/dZN/2yb/9q1KYz3T6tRmZ+MNP46ZdbZhzrkxs88RLAnOx+73fbM2/ue3me++r7dXT0pOtiR0XtNqbm52OBxWq3X3rvaJL3Q63fgzztixfTsRBYPBHdu3T54yxeN2NzY0hJ81Y8YMItq/b1/klqdPn969VI5Or588ZUphYWF4SVlpKf0we/fs+eSjj7osnDFrVkZGRpeFPp9v29at8XFxPp+vsrLyww8+UDpKBWZlZ198ySWRK9vt9j27Omf/uHjevFij8dLLLlvZMfy2pqZm965d3eO82pqacA++hISEa3/yk/979lnOuRQMrlm1auSoUTU1NXv27AmtYDabp82Y8eXKlaHwVFGU8vJyxHk9Qpw3MPyyunRvY3VLzwXvjopXUl/dWd/oDt43K1vo9u3Ava4jbkGrZV/lt/zslQMtXmVkeszlE60lTb5AUNV3XHMgQSsf+ILp48RhF9CQ86lxL/c4GDEmaklrJK4SMaY1KCVfiNmzBOswrkiMiEQtsaMo3cUsOaRBKQw4cQyiEBigYso6QRgR1xlec6Ldzd7ILmZDjPp5aeYfkuURkdpTXMmIZiQaB8fqwnGeW1GcEVfhSj2B/LbO4f8iY3OT4h8akZasP75j4Xv8n9AJbH6a+eVK256W9iYFVV7lDYbivDZZ2eJwByMmT5liMV6cakKWB/3A39i/26uqrm9pdRORVqP59c1Xd3l07qwpe/OLOee19U2BoGTQd85MZ4ozdulcFp4eTlYURVFEUQzPi/flus2jhg8+a/pErVZDROPGDBs5PIeIEXGdVqco6vqN7X3ZBg/KGD3ikNmCBmWljR8zfO0324jom807f/ur6yInyEtNth5myCrvvYavJPda8aa11VNVU09EGlG85MKuhTWmTswblJVeUVXr8XjLKqonnzE6Jzs9Ps7oam4tq6zhKieBtu/ODwSDoihcccm5//18nawoa9Zvu/En84kov6iMiARBGDUst/tYITidxeuEEXGsxKVSx2Ukl5/KXP7Rh8Z5bkl9cV9Lo1cO18XWCuzuTP+cnHSNpvOA+FZR678KPI2eQC8ld3h4Vl1O5PBKW/zyJRYPz45hokhEB9vkNl+wT6W3iSpbgs/n8wMO7wtnpxmifNaInTb/iwVeUjp+fgji1YNjLspBR1pop8nKTn7+9fpL5jT/5Sn3x+/K9XW8rZXLMhExvSH94y+kqsrWN15ue/8t97IPhLh4tbVFqirzX72Nt7VxWYq9+DLTwl+qbW22236m2Brd//vQs/JTwWQWLAlyVXnMWeckPvR41259EYxGY2ZmZrh0Q1trq91u93q9BzvqYAwfMeIXt94aivNUVd33/fder7ettTXcO0+n14+fMIGIIgM+IupeJTZkyKFFKppsP7QS1xcrV65etarLwn+99FL3OM9usz368MOMSFHVYCAQ7n6Ym5v7j+efD82pF7Z7586DBw+G7153ww1ENGfu3Li4uFBap6rqJx9/fNU110Q+S1XVioqK8FyEEyZOPGPCBLPF0uxyEdGnn356x913b92yRe2IES0JCWfPnfvVmjWhghuKopSXlU2ZOvUHfSKnKMR5A6O+Lbiv0dNfW5MU/nGBXVL5vTOyY7URR3dVIV/X2Tq7a5Xo1fUNDrds1It/XJAzLiP2zrfLVZUzxtp/lXCumXILOUp5W72QPEZp3C+OuZJkn5B7trLvfSIiQeSyXy1fTwGPZu4jSukqIkaSX7DksLTx1FrXl7nzhKRRRxX/AfxAqXpNl2KsJ4xeYMn6zp1C5bzMe0iVWoMg+BS13t9r712RMavuCKNJe+t+GCsKSRHZnKSSN6J0bbUv6Ah2nn4bRHZxmul4Z3lE1Fsdi3iNmKzXErXHearK2zqqBjUHlYN+KfJzS9SJAZUf5nPTMJZ4pM8NgKj3v8hj1dzSFggGiYgJ7LV3/qeqarhHqlajKauoCd1udXtkWaGIa1vdO66G77dPbycIs6dN3LB5l83h8nh8T/31tcyMlAljR44dNXTY4OzUFGu4b5rd2dLc2n5tfMzIocKhwTdjbPSIIaE4LxAI2uyurIzU8KOKqnYpNhdJEIScrPT4eGP3zy0cNXbncDWHStmaTHFmU9c5v7UaTVZ6SkVVLSeqb7ITUVZGqtkU52putdldVdX1g3Mytu7YR0QJZtN1C+Zt2f59bX3T19/uuO6qi3z+QFlVaFyzMLKXHoVw2orRsDEW7Ze1QUVpP9ipTNzjlOZ3jMULWVXtXV3n5x1Bm8DYvCT50uEJcfGm0K7XJqn/2tf8Yn6boqrd/vJZR8+/kPCjPEVHExK1oenAOKcDzUH/UfwU4ZIUXNVo+Ly89crhlug9lHFOX9d4v6iXSAoQEScmMlqQ5CMe0y8TlcKpQZOWkfDwk023Xqc0Nenzxhtmn+Ndtyq4f6/1iecMM882zDw7/qc/Dx4o9Hz8XssbL3NJIknSZOWYFj0Sd+W1Ymo6EfFAwL/wl21vvhJ7yRWa7Bz/t19LZSWkqgkPPi6Yez02ERFjLG/s2OWffhq629raarfZ9u7ZEz4OTpo8ec7cuSkpKaH8rqCgwOVylZSUhBOrsXl5Wq2WiAKHTjUbG9vz1FJ6/SGdWnjvB9w+kmVZ7nY5LZyXHbJQVb2errnEzFmzHn/qqdzc3C5rfvD+++EPIW/s2MFDhoQaP/eccz5bsSK0fMf27UVFRaNGjQo/UVGU0pKS8N0pU6fm5ORkZmaG4ryK8vL8/Pwd33VOnTH7rLOGDBmi1elCcV4oDeScd+/YCIjzBsbm6tbatn7omhfp82JnrsVw7diUzjk1lAD3OQ7/LI1W2FXUsqW0lYjGZMRMm5BYUticYNRo9aIa6NjhuaLseE3Imkpclb95krubuK+ZJY1Q8j9RbYVclsjTqOx9n3vtStGn3FXBPY1KYz73u5T8T5ig5X3Y8ZgujiX2UDkb4PgZZjQUu/t5N+yjGFGIjZgXmxPZA3Jk+nbA7b9j78HD9M7LitE9OSYz03C4lE3tJc9jxIxi55b5oZU6GgNyZLJoFIWx8cd9nBrvpS8hEYkCO+RzYBSu/OtT1dZDz4K2ODy37K48zKlATqz+8dEZGYf93ACIjrGww2F4fX5FUYkoGJQ+W7Wht9VkWeme33XVbYVxY4bdf9fCfy9dVlxWRUS1dU21dU1frNlkTbTkDsq4fN7cMyeOFUXB7w/yjj2tx5QtPPaWiHz+I4z+i6TXaW+4Zt6MqWd0b1u4pkd3Ho8vdFZg0Ot02q57JRNYTEz76Y3PFyAisylu+JBBoboZm7fvNZmModvDhmQbDLqJ40bW1jfZHK7Kg3WNNmcwKBFRdmZauDMjQIjA2FirXqfx+zriPE60zyFJkqTt6JFa6Aw+s7vZ23FxizNhaKxy81B9UlJSqLOnpPJX8lteLXArihrZKY8zQcu4SVC1AnFiMueSSl6FyUL7jjA8VslOiAudlKpEhS1Kl5kxOBMP/f7hpKosYh1FDn5Vwy/OjY/VRetVcL/C811BHvBTe2kulqjlI036Pk63DacJ38b1zj/cr8kZnPTsP/WTp7X++/nAd5vjf7owbsF14XV0I0fT1de1vv8mi4klKahJz4hb8FMxpf1aFNPrLXfdH9j5nW/DV8l/e9Xy2wfcH77jevYP9gd/m/L8G9rhIw/z6nljx4ZvezyexoaGFR3pnt5gGH/GGTqdbs7ZZ3/80UdEVFdbe6CoKHJc7bgzzgjdiDMe0ufU5ep55FzzoSUgdPoBHrK2c8eOdWvX/vymm8SIEiJFRUWhDokhF1x4Yfj2+Rde+Plnn4V+wHDO31iy5E9//nP4UVVRSiLivKlnnpmUnDxq1Kj8/ftDS95/553i4s6pMy780Y+ys7PDPww457U1NX6/v3uFDUCcNwBsnuCmgy2S0s9X/mWVLyu0zxpkHmxp7znMVZn7DlcHgxEJIntni62xVSKiC/Ms6THianvAZBA0YsQPByZwr03J/5iISBtLTODOUt64jzR6ErTcUUxMIH8zMZEYU2u2ERNCm1ZrvyMmkKA9Yo1QljSCmbN+4CcAcFSmJsSubOxToZh+ZxSFyInzZM69ihp5FtwsKRsc7sNsYWScwScf4cJdb5kAI2K9/2Lu8t1kFMVE3Yk4UhzmO+LQ05pOQZX7lUM+hPqAVG873ISkY+JlnzJgJVDgZJf3S7JtI+f3/VrXul34z1gQBJ1Oq6pqj3uoKIrHcPGZMTZp/Ki/P33f19/u+HTl+uKyg0Skcm5zuGwO19784kfuvXXWtDMEoXPX77GrnRKx8KgawYlEQdDrji4oj3ynPVx94KR07K3huUTOnJS35uutRPTdrv3j84Y7m1sYY2NGDtFpNVMm5q1cuykYlIpKq6pr2wc3nTN7MkbaQnejEnQxJPkYaz9ScrWgRW3xBZN0OiJyS+ofdjhqPeE+d0wv8PtylfHZaRpN+wFxc4P/hfzWgHxolieIk2ID16VLE6xao1ZUOfcpvE3idr9a4wuUuVmBW5yVKJri2s9IJUUtbT4kN0/QsZvSPFYdD+2CKuelHvHDJq1XFToTPVWt9nBPUIreOM8ZUKq9vPNnCqNcI6WZjf1+HQWil1R6wH7f7YrTkfz3f8deMM+3eUPLy38XEq3WJ54T4jt7c6set/OPD6hNDYl/eDawa4d7xcdt7yyx3PNAuJunJmtQ6lsf1cwc63j4nuxthebb7lLqappf+Ivz8QdTXn2H/T97dx4fVXU2Dvx5zl1m3zJL9pCVJBCWBGQHWVQqKiq4FHCt0tpiq1X017fy2lbFtor1bd2q1Wq1YGsRtRZtXXAtIAiENRIgYQnZl5lk9nvvOb8/ZjKZhLCDiJzvxz9m7tx7585I5t77nOc8j+GwbRiTw3mU0s8+/bSmJl6S1Wa1xl6deP75ry9fzhjTNO3dlSsPHDiQ2GRodzgvMzMzebd79uzp9+2Sg1kAkJaa2u9qx+72n/ykz4xXAHD1V34uLS1t0f33hyORv77ySqIuXiQS+edbb82++mqbzZZY87W//S054+/ZZ5554U9/ij3WtF6DkZ9/+ml9fX1iYm+H11vX/eXo9fqSkhJBEM6fPPn15ctjC99YsSJxSWC2WM4bNYoQ4khJaW+PTzSsr6/3+/08nHcoHs47A3a3h2s7wqdjz3W+yLItzT+bmB2fSkY1UENHWJ/IZPv+wBsb2wBAJ5Ipg+zBTuX5T5vnjXMJCuudnosgJY0tIAE59pRBbLwRu/8tCd1X8wxAkLsfHRESoexaPtOW+5qNsJv0AgmfkeAO9rpkRcBTPbEPoL9WGMdCxD7z7+BruRVmlB33/4g+eYUcd7JsBTD+Udj5ElQ9C2rw1O7baDQIAqGUmkyGZc8+DP3NogUARDToT3BMXidL06eMnT5lbENT657aA5Xbqj9bu7G1zRuNKr9/bumwsiKr2SR1ByMO1PdTHLDuYE+JH7ut7+zXU87psMuSFFUUfyAYPiQZUKO0vSPe4sPWfTAjhg3S6+RwJHqwofnLyh3+QNBo0BflD0DErHSPx+VsbG6t2lnT0tYBAKIgTB7PS+1w/Ug3SYPt0mctKjANAIAxLyW7vVGXDRjAP/b4N7RpQOMXwnoB5mcpkwqcuu47/5pO5d617WGVJc99T5HYDRnha/ONHme6rDfE48iMMUYZpVTTFFWNRKNAhETpvZpOtc6vJA++Zerh6hJnhiMpWkG1MfuCd24IJbfiDVCmaIetSvnN1xbW2qKQ+PYQoNjMDEbeEI+L01qa2v7nDvXgAdttdwhud8fjD/uXvki7Om0/vFPZUy0NLCHWeIJ517IXQ598YLz0SuvNt9G5YbVun/eZx3WjxxvGnw8AwJjW0qTurdVPmhZ8958HZ0yyzL3JePFlanNj4K3lbffdnfLL3xCrrd9jsFgsBYWFiZYUH61alXgpOycnLy8PAPLy8tLS0xvq62MrJDpIWCyW7Ozs2OPyigpRFBNRsC/XrWtubvZ4PMnv1drSUrlpU+KpJEkDBw48ye/QbrdnZR1TroxOrx9eUZGWljZ58uSbb7xx65YtseVVVVVVO3aMGTs29rSpqWnNf/+bvGEodNg4g8/nW7tmzazZs2NPP//ss8RLA3JziSAAwLjx400mUyAQAIDYpNqYCRMnxn4/yysqEt9/Q319wO93u93H8onOKTycdwZsaw50HL6008lgAP/Z037pQOewNBMAANOAHumNBIDXN7R1BFQAGJhmqMi3rN7dtbMxOKLASk918uARoMlFMsq/trfjuJg8o5yuk2qDZ2C+bVijyXNLBQRZOPUj0t2lt49vzzZJwKQblLBG/ac/4nligTkBQeJdL7hTiGkgW6Hsdsi5GJpXQ+9CWicpxWEz6HWKovr9wS8rd0waW3GkAzmeAL+vy//eR2sQUBSF88eNcNit6amu9FTX2POGDizIefTJlymlbe2+bVV7Ro8oy83JqNy6EwA2bvkqHIkm99xQVW3z9vhcmKz01BRH3y6fp5zNZnam2BqaWv3+4N79BwcW5CS/qijKnr3x+nd5OfERfpvVPKikYOPmqi5/8J/vfqJp1GTUF+VnA0BS7NVwAAAgAElEQVRaqis9zdXY3PrfdZtVTQOA7MzUWJdbjutDEnBaluHzVn/iL00lYlVHdEwOrQvQZ3d0BqPx62eGZIxNubbQbLU7YskjUY39aYd3f0CDpFEoJOSWrMi80hSXMyV5bhoAJHrgygAmgOTyT583hqJAEidAhiRLr6VYzXLvjKEJuTrPDuWAX0mcnCVgpL8fiZDKqjqiG1vDLSHKGEvRC0U2aYhT5zYc/SKDATQF1C9bo9UdkZDGdAJmmcQyp67AKhnEo2wdUtmWtsjWtkhzSENAvQipRjHXIuVaRLdBSJypGUBzUPVG2ReN4fZgTwSfAFgkoboLGEYR0ChituVob8l9e2kd7c3z54Y+/5jY7MH3Vna9/LzW0UbsDjQYOp97wv/ma2Jqhn7UWOOMK1And/z2V3JpmfuxZ9BoEowm569/33Tz1S0/uC5t2T+V/XuD77wV2VapNTVo7W3E7lBrd7cvupu4PYLNjqLY+cqf0KBP+d+HUd9/zteo0aMT4aTk0NVF06fH6uJlZmVlZ2fHwnk+X8+MH09qqiMlJfY4PSNj8JAhm7ujdYFA4Mnf//4XDzyQ+KFgjH3wwQeNSR0zsrKzs7qjgV8nu8PxywcemH3FFbGnmqq+/NJLiXDelsrKxt5tPY4gHA6vWb36kksvjdUETA7n5ebmxj673eGYPHXqyu6KewkTJ02KPaioqFj+2muxx62trW3t7bl5eSf42b69eDjvDNjZFjpclaiTF1Loiq9ahqSaCMbyXQ5fXhehPaCu3BxPYR2TbzbqhL982lTgMQxJMyTuJRBic2cxCgAIEgCjfW80EAERASHCAAB03bciBDECQCgj3asRBAVRYCx2CUQQKCLLHN4r9Q9A0zRFUWRZjsXmKaWRSIQQojvTdQS4b5MMvVRo1p2ZcJ5Ko5QmLvERwC72CqKNSzH/YWi2TTpsyioB8OiP8gN+Yhl/KZIgEYx2/0j5FG1vMDLacdqbzZ3A0RoEYhJ65Q5ek+l4oDTjCJ0uCEA6L5zHHRkSsBWBrejU7rUgN8vldHR2BRhjS558ubgw1+NyJO7qg6HwK6+tHJifM3Fchdg3FnAUiqI+/8qbqqpKomg2GS84f3RsuSAIxUW5BJHGV1MQceZ3zt+8rZox1t7ue//jtZdcODHREGPthq2xUnQAMPuyqV/DHFW7zVJUkNPQ1EoZW7r83bHnDbWY4z81UUX587K3Orv8AOBMsefn9qQYjB5RtnFzFaXUHwgCQFlpkcNuBQCDXjd0UNGmLV91+eMlvctKC/nUPe5wpmQaf13pi0D83Msoq/KqnRHtrtVt+/zxabYM0SloP8oXclKd2P0XscunrGpUITk5jpDp9sjcYqvb5TzqH07ir54CfFYfTD71MUJKrWA4ZNI6RaL2OkeinWhy7/cJqnR1Y+TJbZ1ftkQokvhQBKPAwCHRqwostw2yphrFfofANAbNIfWFqq5Xd3V1qAQQAGJTeylQOtKj+2Gp5fxMo7G/CFtbWHt7X/D5Hb6aLhWI2D2CGJ/CbCB0sEN3QbZp5gBDrlUKqvR/1nW8eyAEjCU389UYe3ovPrOvCQBAEC9PY3+YlCZL/C71XESDgfYH/if0+cfAGPV2qEgM4yZabvy+YfKFtL018M5bgTdei2xcF6n80vfcEwBA7CkpixYTR3wOqW74COtNt7U/vKhuyggAAETiSDGMP988e45hykWo0/tX/K3rleejWytpMAAAnS89JxUWW2/6Qb+jd+edd96rS5f2WSiK4iWXXRZ7bLPZyoYMWffFF33W8Xg8Docj9hgR58yZs33r1kSC3htvvFFQWHjZzJk6vV5RlK+qqv7w+OORcM/UvfKKisz+EusopW1tbU2HxNQMRqPVempG4IYNH15SWvpVVVXs6Qfvv9/U1JSamkopXbNmTSCpY8bgsjJT77KAiqJUbtqUCBOs+e9/O30+t8dDKV2dlNY3oDucBwBXXXXVO90V92IsFsugQYNij4dX9Ax8apq2bcuWESNGnJKP+W3CfyjPgP7r5Zw6G+r9dZ2RHJsOAJIDBH0gwK7m8L62CAAKBKYNsv+3pnPLgcDjc/J0EtFiZbkQRIls3Bt4e1PbruYQQcx26OaNdZemG9Tu9D0kyADW1vhXVrbVtIQZwMxy57XjPdGwtnJz21sb2u6cnlmebQJgHSHtuY8bdzeHrz3PNX2oXdOgM6wt+XfDiCvMsyfFz/87duz45JNPDh48CAA//vGPU1NTm5ubly9fvm7dOrvdfuedd/bpsMNxJ8wsCue7LJ+0dkVPX3z9MCKMdSiap7tdLALmGCVM+nMNU+qUxVyjfNhdHIMTm2ybaZDsktAciV9zhCh9o957aardJJ7ee/sTyM6zi4Knd8vd5ojqlqWUs7acEPctZrOar5p5wSN/eAkAAsHQL37zzGXTJxXl5wBifUPzqs/Wr6/cjoAaY9MmHt/8UIvZdF75oDXrtyiq+o+33tfr5OLCXJ1OamxuX/GvD2Pl8AwGXVlpIQBMGFM+dFDR5u3Viqq++vq/o4oyuDifELKntu4f/3w/FiAryM26aMrY0/Ad9GXQ6y48f8znaysppXX1Tb/87bNXzJiclZnq6/R/tmbTP9/9JLba6BFDcrMzElsNKS006HWhcHwk5sLJoxMvjRk55C9/i4/zi4JQWpz/NXwK7iyVZ5MH2uStHfG5rsi0Kh97emvH543RxDRbuwj/U6CW56SLUs/p+OP6UH1X8txwzJLpHcWiy3n0WF6yjrC2sSWS3AeKAJTaxUO7x2xpjbaFtcQlAiOk0EyNSWVt6/zq41t9b9QGQmqvMFlMOyXPVXV90hj9Zbl1UqaxT0RPpezd/cH/29a1oy0MwID1ncO7vjmyrT16TV544XC7y9Dr2Da3RX6zybe6KRzVGFAKtO+U+SDF9a3RdR0MIoEF5Z6Awmq6VNC0Q+9OkCWuWXCYiQq8lsa5KrJxXWDlG/ExXkS5uFQeWsGCQWXXV0KKUxqQrx89Xm08SHftjK1PjAY0mZP3QFwuJCTeGRZRHliqP2+smJbJQkFlTzUKgn7MBOptj361Axhj4ZD3iSX6UePkwUMPPZghQ4dKkqQovea6lVdUpKWlJZ5OOv/8Pz//fJ8NMzIzk+Nr50+efN6oUWtWr449DQWDv/31r996802Px+P1erds3hxN6n7rcrm+d8ststzPLUBXV9fdd94pHtI5aubll9951139fJsnZOq0aYlwHqX0X2+/fcutt0YikY+Tphvb7faXly5NLqsHANFodMb06Xtra2NPGxsbV3344bVz5tQdONDeFm/OKYpidnZ24qeybOjQ9IyM+oMHEzsZkJvrcsUbWOXn55vNZr8/Xkx8c2XlqfqM3yY8nHcGHKFb5SnRFdHqOqM5Nh0AHqGrrIBYWev3BjVEcJrFsQWWu/9ee+UI57ThKWpIBQCCIEpk6eqWe1/bm2aTLxhke/Hz5vaAuvlA4OXbim0SUgYiwZCAD6/Y//SHDQKBG8d7JAF/9o+9UZV9uMP7dmW7otGHrhoACAzxD+/XP/ruQUVjAuKM81yCxp55t/651Z0v/aA4Nlapadrdd9+9atUqTdOmT5+u0+n8fv+NN9740UcfRaNRQoiqqk8++eRp/fa4c4dMcLLL8pQsNpyeye9HEKXsYEgpNsfLxBCEYrNeQEz0bK32R7Z3hk42nMdO5Kcm16jL0EuJcB5lsLLJ93pDx9ysFPF0JrqcQEzVJgnFZt1K7Mns2+wLbukMnu+y8Iwc7hvogvNH7z/Q8Lc3/gMAu2r2P/H833SyDACKokaiUQDQ62SHzYKIxzXZVidLsy+dtq1qd5c/uLv2wK//7896nQ4JKooaCoVju5o76zuxFDaBkO/fOPuBR59tamlvaml77i+v63UyAEaiUUVRAcBsMt4893L9idbvO16jRw654dpLX3r1nwCwedvOql21siRpmhaOxO9tigpybrtxdnKAI8Vhy0hzx+bhWq2mEcNKEy8V5mWnp7obmlpiL2VnnGwpce5bTBLICJe8taP7AoCxbT5tR2cQuhvCCEiucEdmFKWYLJaelDrG3t4XVJPOWIhwsVsrzkw79B77yHZ5Fa9GEuEzBmhkSrHdjNgrJtgZpY9WeqNJ83olhCkeIZG8pmjsvnUdHx4MJup29cUoMNjZHnp4MxTZxExLr0uLDw+Gfrauoz2kHDZJnmqhKLy625+mhzuGOxMXAlUd0fkft9YFFNZfX53ut2bANAKYp0cCcMCv7fdFjlxTW6ZKhVNHjjNJmfvW0I8ck/Xh+kjl+tBHHwQ/fj+89vPwutWo06Nej4LIwiEaDKIsmWd9V1c+suM3v1Qb6r2//23aK2/ENlcbDnY+/xRTVXnIcMu8m4Pv/DO05tPIl2vRaEKdjkWjLBJmkQgSIg8aYpxyof78C+TSMsGR0u/B2Oz2tLS05AYXAHDxjBnJT0eNHp0oAJcwsLg4Objvcrvv/+Uvv3vNNb7u9rXRaHTL5s2HvqPd4Xj+xReLS0r6PR5KaXNz86HLvV7vcV02HFl5RUVyEO3jDz+cO3fuZ59+mvw99GmRESPL8k033/zL++9PLHnuj3+85rvf3b59e2KJwWBIS09PPDUajeUVFcnhvJwBA5zd4TxRFAsLCyu7o3jJ5QW5BN7t6wyQhNP7tauUdYRVgNgk2MO+lyaTdbV+RaWMsYFphlfWtNS2Rm6Zls7C8ZACE/D5T5uu/1N1Uap+5V2D7pubN7bQQhnbfjC4vzkkCiiI2BxQ5v+xesm7dRpjz9xY8Oh1+f87N39Urnn+i7v+9kVLIKJdNiwlJ0Unibi/NbJ8fZuiMYFgQaqOivj6+tbH/l2XkZk1ePDg2CG999577733nqIolNJZs2bt3r17zJgxa9eujSUnU0r379/fbzM+jjsxo+zGC92nvT7UoaKU7fT36oczwm5KTjTzq9qPtxxY2eirC0UDGo1S1u9/R/5jOLHsvFSdNM1tTR508Kv0+5v2/aa6cac/7FW0UPfxqKcuqZGd0NEKiFem2y1J9/kdivb9yn3/bupsiqhH+N6+7mxM7hyT3B82+ZwlEHLdNZdcf82laR6nKAiKovoDQX8gGIlGjQb94JKC39z/k0RwSu1uXa2ofZNlEqU3GYv3gy0fWvI/d36vIC9br9eFI1FvZ1eHt9MfCDIAl9N+1eUXXj5jSmLzkqLce358U2F+jl6vU1XNHwj5A0FFUXWynJeTec/tN4w9rydJQespndnPzULij4kxRo8WkmeJFRgkfr0EQq6/5pL511+Z6nEiIZFItMsfCIbClFKb1Txl4nlLfvXTPrFFq9k0IDt+MzB25NDkOmWEkIsvGB977HTY01NdRz4k7hw3wi0nT1kNUwgm/sEjGWJW5xWaHCmu5BbMla3R7e2R5Kp5KTJOStfre+cHHYsd3ijDpLwKxFIjtRp0AQ0CKguozBuhm9si96xp2+JVE+8oCWSuO1yRYUYiAEBAoXetbnnvYKhXLA+RICJir+K5jG1rDf9jly8RtmMA65oiP13T3h5Sk2J5iIikz7YAUUr/tifYFohnxQZV9tQ2X11QTYrlISAK8W0BEBkShsiQmCA60K5DQj5tCIf6G2hkgAyRITIi5BhYnl2HvCH1uQr1BjF7gOmyq1y/+2POxj05m/d5/rTMetMPRE+a1tpsmHC+56kXB2w/6PnTMsO074AoAiGh/6z0PfcEUMpUxfv73yo7qwCAmC3mWd9NX/Fezvpq54OPSYUDtZZmuWSQfcHdacveztlRn/VpZcqvHjVOnS6mZx6udp5OlnMGDEheYrVaR4wcmbxEluVLZ87ss2FpaWnyU0QsGjhw5bvvXjh9ut1u7/e9TCbTqNGjn3rmmbIhQ06gwf0pVFBQ4Enqq7t3376dO3c++8wziYsAvV4/d968fre9YtYsS1Lf4X379q3+73+rduxILDGaTMm5jbIsDx8+PPk8XlZWlpyZODApstknrsrF8Oy8M6AwRS8SVE/b/D6V0pqOsEqZgAIKcr9vIxAMhtSq+iADQMTalsgLnzUtuTY33SzGZtGKEllb27Xk3YMCwe9PTfdYJX+Exn5aRAEFgQCAN0J/srR2+fpWAPjhFM/lI11aWCMSMcRmuiEKCFeNdAkigkC21QVrW8OIaDMIbov87L/rf7eyzhvSbr7wwljrn2Aw+Nprr8V+KZxOZ05Ozj333DNr1ixCyKOPPhqrP1paWvo1VPPhzh0SwUXF6W83+jqUr7VDnMrYjq5QlLJEru5As360w1QX6km2rw1Gbty4t9xmLLcbUiTx0HpwiHCRxzrUetiW7ZSdSDzPJJK5WSlvNnhrApHE5hHKHq5uXF7fMcxqzDPKJlFgwHb6T2XZwROLsZ3nME11Wd5s8CaW7PZHbt20d4TdWGIxOGWBHNoJBGH+AJf98HUJOe4kFeRm/eDG2UQgVKNF+b3uBAx63fXXXDJhzPDq3ft21ez3dvolSfC4UgYXF5QMzHMkNZOdPH5EVoYHEO3WvmGCskGFt918NSKYTUZb96ujRwwpyM3aUV1bVV3b2u7VVM1qMeXlZBYXDSjIzZZ6V6EqH1L88KLbt3+1Z8fOmtY2L2MsxWEtHZg/qDg/zeNMXvOiKWOKCwcgQZfDrtP1TT7yuBw/vPlqQCBICvOOUrc7Pc11201XIUFGWU5WevJLV828YGT54B07a/bU1nV2+XU6OTPdM3RQUUFeltlk7LMfnU6+fMaUooIBBLFiWGmfV78zdZxeJ1NKM9LdNutpb87LndWK7DqnUW7oCvdZzgA9knZnIRalO/vcV7+7P6Ch0NO8AnCAXitxW5NXi2pM7a+PDgHQdXekiFK2vS3CtJ7JAchYXZTc9WVAECMAwACiGuwLaAf9Cmha7L1kgVzujPxwkNFmtSEiZfB6jf/NfeHkQn6IONqqDjNTDclnHaQ6SFhS/O7N2sD8UqvJoAOAxqD6m0pvR6inpwdD4hG1yQ4tVQ97Q+STDrGre1wBGDsQpO/t9c0t8wBAtTeyqj7MemKImKGjk+yKR0coYEClPg29KumIQmOUFOpoqlkHgJFIdIxV293FWlWS3NZ2uFnTCcCAAZLzLNRqNBxvFy/u20rMyjZnZZuvuMb7e0/7gz/3/OlVNMbrtcUi2lLBQJR1Hb/5hW7wUKV2T9crzxunXxp8718giigIgChmD7B+/8figNzGuZc7fv6gYcKUI75hLzq9/qqrr07OlfN4PIc2qbj+hhv6VJEb1J2qkiwtPf3Rxx7bumXLhi+/3LF9e319fSgU0ul0bre7dNCgihEjhg0f7nQ6+2x16cyZySXk+lVeXk4IKSgq+t6tt/YcQ1nZ4dYXRfG6G25INJNNSUlJPv6MzMwbbrxx//79saeCIEQVZeSoUSPOi1cC8aSmZmRm9rtns9l81z33HOjeFgCi0Whh0oE5HI7kfruIOHHSpPb29sTBTJk6NXmHl1x6qdl83IMl5xQezjsDytPMbpPc0HW6CvBTBvt8EYUygYgg9/8HQCRSfSCwsykUu/5o8Eae/17RlWPcSkBlAAJBIpNfrdhf3RjKcMgXD3EIMmncH9i0P4AAk4ttA9MNjOCyz5re3tSOiNkp8s8vyRIBVAYKheZYSREGuR79hYNtjAIgsxsFk07whbT2gPrDv+yOHacoildddVWsN1Btbe1n3V1vKioq7rzzznvuueeGG274+c9/HvsL1+l0Mw8Z/eC4k1Rk1l2XnfJMbYt6cjlbsYFsgkcqWJnAANa0B7yK5tHFf4TNIvlpgWe9N7A/qddbW1T9oKXzg5bOfndCEIxCzpHCeSeUnYcA5Xbj40Oy5qyvCSR1uA5pdLMvtNl32J70J4WdyGRbAJAJ/qTAs64jUN89Y5oB1IeV+kbf242+fjdBgCvT7Tycd45hxxQwPkrC67HKyki95oqLDveqIJDCvOwjB78QsXxoSfnQ/qfbFORmFeT2UyTb5XRMGus4cs/cBKfDNmlsxVFXHlVRNqrisLcEDrv1qpkXHMvbAYDHlXL15Rf2+5Ioikf9TpKVlRSUlRT0+5IzxTb7smnHuB/uHJduEtN10ODHPr8PegILspUJeWl6Q68zbFRjnx8MJc8tZUQot1JXd+kMAPAr9MEvO75oDve5FmCI4zy6X492xuJ8nVFa06X2/s1hzVFsbogA9HuDgBLCDamh+cWm7KzM2Nh2c0hbtiekJiXwCgjz08O3DNTbUxySKO5qC9zw32BDpPsDMlrjp/u8oUEGHQB8cCC4oSUMLB6SY4D5evpIcWRwhtNgMlFNe2Kr7/EaAbtjjhrgxweD3y1ViCD9+0CwI9Jz8AYB7itUp+Q59AYTQaRUA0qjihJV1EA4ElElg14HCD8tM3VkKTeuibR2Jb5ztEv08WHotBgAgAEQIkqHSZXizmVaUwOxWBOxPAAAWQJEMSPLMuem5tuua7n7Nq25WXB5bN//cfDDfyMRgCTlbttTUJLU2j1wPOE8URQvu/zyyy6//MirlZSW/nzRomPZodlsHjtu3Nhx4479GG646aZjXHPIkCFDhgw5ljVFUbz7nnuO8Op1N9zQZ+GoUaOO8TCuP2RbAJh5+O+wsKjoCAczfsKE8RMmHONbn5t4otMZkG3X59pPb1WakMo0BiiIqOtnaBoBEGHrgYAvqDEAkcBd0zNvnOBRg/F7dyLgynVtn+zsBICRAyxWs7hlf+CHf9ndGdLmjfX8alaOTKA9oP51bUtEpQjsO2V2t0tPVSoQVCJaRyB2ZcCGZhqdDh1VqRrRxhZZF0xLJwgzy1OWfDdvdIEVACZOnJjoUFNdXd3S0gIAiPj+++9Pnjz5iiuuUBRl9erVsclKZWVl5eXlp/V7485NP8xzH2/nVoLolMRUndTdAQ4vdFuH2gzfSbNdkmYTjmFQeWdX+I0Gb/LF/lin+fEh2eU246lKsT/h+CQCXJxqe6Qsq9RiOEKX2FPrxIKPADDGYfpFSUa+ibe95g5PZwVbzlHWMaaCuZ8YGcdx31YWmXgMeEgeHU50aDMKHUZL38pQjUFtf6BXDE4AVuGUkqeG+SJ0Xbu206fu9GnJ/+3yqWLYn0jH80ZoU6RvGPEIRMLmpCm3D3VkZqYn5ql8dDBY1d6TWkiQXOqm88tsaVnZZqtdZzQPynRPzzKA0JO9oYFY1xkFYBGN/W1PIJo0aOeR2T2FtKIox+726E1mo9U2u9StY2rP98NYXYCGIipjUNmSFHNEtAisPNtld3oMJrPOaDKYrQar3eZ0u1PTcnJyivJydHo9AOgMxpDJdSAq9Ez4RRxippkepzstw5Wa7k5Nd7rdAi+cxx1CbTgouHuVQ0UiACAwarrkCtutC5Td1dTfabvjXrm0DACAkOSSU6g3oNmi7Kv9mg+b4043Hs47A+x6scxtIqfzJjmkUkoBBB2a+qsDjQAADT6FMgYMbAbx4vIUTaGxIjgIoKrsX1vao/Hmtmzh0tpZ/7cjEGUv3VL01E0FaRYJRXy3sn3zgQAimnTChcNStIhGGRCDsLm266vGUKzuxqAMIyCjDASBBDW2pS544SDbiz8qKc40bdrnR8Qrr7xSp4vfhG/ZsiVWRpQxNmfOnMWLF9vt9qqqqg0bNgCAIAiTJk3qt8sPx52kIrPup4Uep3wc2coywZ8Wpj45LCdRuG2wVZ+hlxySONphko5tSnhDSNGSLuUJwGVptqeH5Vyf7czUSyf/63xCc23jRMTvDXA/Nzxnfq4rXX985b1PwLGlTvXPIJAbc5wvVeTOyrA7ZZHPz+H64R4E16yA0T8Fqb+kDyJC/uVw+XtQdO3XfmQcx50x29uj27wU+hRlRjDpJIfDcWj5qoagGiFScpk5HVNLU2SSlATUFFIPdoaBan3+k4GWWBBJ/EqjPqA2B/r2gT0ClcI/2w3LmySGQvcS9kp1V7Qnsx2tIrt2gJTq8Yhi/F0IIbkOfa/eGoh+RQXGPmsIbWmL9kyzJcIEuzYxz2k0mRMfPM0s63pdi7CAwlSNKpQ1BpPK7THm08g/6lhr+JAEZ0RCSHJfi5pONQxSInWRAJTb0GjQQ6xoX7zkH8f1pTbUC25Pz9O6/d4/PMICXTQYpOGg/d5fiLn5+pFjrDfM19rbgNHo1krfc7+nnfGJGqjXE7NF3cvDedy3DZ9sewYgwJQ8+792tTV0HceJ/LhEowplFFBEs6f/NRjUdcTfXRLQKJGk6wHsCGsb98cb9Hz8VafVIP7xhsIJA606PVFDGgNQGL69uSOqMgA064RMp05TmSCgEqV//KgxrFAAMOrIoAwDizJCIETZfX/bW9Mcem9hWUTRHn37QFih2dnZl1xySfcBR3fs2BHLwispKfnd735nt9sppU8//XSsap7FYpk2bZooipTSUCjUp0IBx50MEXFmmn1rfui31U3hY+i10hhW/tngjZW9W9nkA4DWiLK6LVCVFkaELzoCytF2IiCOd5rn5fTtFSshjkkxDbcbdvkjG73B7V2hpoga0fqPdCFCnrFXSlqRSXeRp6ezR4nZgIepPjPcZmiKxNeUCKYfUhILAPQEJzjNI+2mBXnu9R2BTb7QvlA0olFAEBElhOaIurq9p5NXnytwqyTMzrC3R+OzeHQE7XLPBb2O4AibMXEfoiOYcZigoYQ40m5KrCkiOg6ZJ6sjONFpHm4zVvvDG73Bqq5Qc0Q9XKcOBLCIfCjrHENEcOTDhY9ByeXw/h3QsTOepi5IYE6D8Q9CyVwgpz1szXHcN0dAob+p9Nb5D2ltz1htWPQrLGkGbVxLSEs+ITPEDB1zmeTk89/mtqhf6ecawCaTfLsM3aN9W9siQaWneQUCyiImp8NTBlGNJrdu8kWUP+0Kj/QEx6SbAGBLe3RrWzQRi2RIRliV4el2Qex1c9f3WBgTgVGAv1Z3aUAAYseAIrCZWbKjd6VOlQHrXUFEQgbAEKBP5n5Eo+Z19ewAACAASURBVI/vCCyrCV2QZbhkgGlwimzXEZn0vQJhDKq9SjSp0p+EdJhTJCL/+eWOQms4qBs2ggb86p5dnS8927X0zyBKxGZXqraFV39mnDad6I2CwwlE6Fr2EotGgVHvIw/6nnjMdvvd5tlzEJFYrMrePWf6c3DcKcbDeWeGxyRlW3WnL5ynJjrMGfsW1AQABASNNnfG350lKvoCCAKqiE9/2FBVHwRAACYL+Oh1+W6jyBQaDWmEYIiyZ96pW7mlAxEZY3qZ2PUCIhARl69teXtzBwAwBmadkGmXASAMsOi1vSs2tL7yg4HpLt27G9q21AUQ0ePxxKJyoVDokUce+eijj2LHUFBQEFt+8ODBf/3rX7GFLperuLgYALZt2/bss88+9dRTp+mr485NEsGFhWleRXt+b2tAO0owbpMveNPGvclLVMq+8ke2dYUA4GBYOUz8LU4AGO0w/qo0o8DY//xQPSFDrIbBFgM7WimvPkGpK9Jtl6b1mhwkHnIxDQAE4a7C1Nvze2L9RxgK1wtYZjUMthquZyy5vB0DeLPBu7q9JrHEJvaKsjkk4alhOYerSGiThPtLMpJf7e9IAQBkgouK05K/UvEwQ/cWkYywGytsRu1ouX6H2wP3LYcIOefD3A9hxzLQp0C0CyruhOG3gS3/TB8Zx3Ffq6DKHvyyfU1jpN/T7AG/WucLp1l6naMZQEdETe5bDYiZRjD1Hg/b3h41icg0FlB7DXO5RZph6QkQVrYpDEmibp1JIvOzogPM3adRBhEKtQH6eqPQ0tOVClqD0U8O+GPhvE8OBjUiAo1fzBNg01OJ1dx3tLspqCV/RmTUKmFzUPuiKZQ4qTPEAp0yLM0uCL1uDDsiNEIpJHrRIjpkkAhKAo5wyTs6KSRfL1GtKcSW7g6sqA0U2HQT0+RZeaYyZ6/vMELZTq9C1Z44ZqoOc216JHx2LXdEmqY1Nyn7aloW3Bz+/GMaDhouuNh08eVyyaDGG2f7nnjUMGFybEVl907/m3+XCorcv38+suGLwMo3vUse7PrLc7oRo2hHOwufngLQHHfm8HDemWHVi6MzresOdp2m/UtCfPgPDf2E8wAYCCTFLAEAIvjDWrNPkfMFAEABFy2rfXl1c4ZNrg6HELE9oKxY2/KD6ZkCZYKOoFH47dLaxSvrjBIJRQEAgxGtLUJLUvWbtnp/8eaB75Q5PtjhDUQoApMMIrNKv31x958/a/rrD4qnDHaggJ/sCvlCFAA6OztVVQ2Hww899NCSJUsSlTLS0tJizTH27NnT1NQUWzhu3Li8vDwAuPfee/cntcvhuFPFLJJFxekhjb6wr007YjiIASiHNG5QGasNHj1ALyCOTTE9XJo50m46XAArhiAA4HFd4RJE+ZjjVIcOmx8BxkJgSVuENfpZqz95nbxDqtchgHT4wBlBkI8trCYgHks5wvibIoi8Ix53BAYnVCwAqgIKMOEhEHgNB447tzAGb+31v7Y3Qml3XAl7lbHzKXRjc2hkVu/aeQy8EUp7Zd+jU0d0vdtG3zFQ+q5D2dPFFlYJiSRxRki2gTqM8V+bMGWVreGed0R0iPSyfNvAdAfrOX8xRqmtsv3RqnAiR48yqPYpQFUFhA0tUUZ7GsuaUR2VahCkXrFFhbLqjkhS7w6UkKYZhZouLQAysO66e4gj7cxpMfVJsz8YUFUiJyKGAJhlYrJIAOB7xeYPG6L1fpKUEgDAKDAIUdjWGqrqiLxWE1gy2vGdAT0ZfyGV1QYpS5qtnKlnbgtvfMEdhdbazKKR6PYt0W2bTZde6bj3F1J+IeoNgGi/fWHb/fd4n348tqbviUe1uv3pKz/VnzdWP2qs5fr5kfWr2xYvCry9AgCAEBrwExPvlMp9e/Bw3pmBAFeUuj7e593aFDj62sdPL5JYbT40edCSzroakl+NlcgbMcD8ooAaBX9EW/zWfj2BzrD2x48a97VFnr65sKYh9P+W79UoUAaLXt+3oy44tdTW2qW+Wdm+/WDgT7cO3LS783fv1SNiS5e64LnqodnG9bX+709LH59n/rDKiwjNXeodf9lt1QsNPmX5j0suLHOoYQ2KJ2ju7ZTtBYCampqZM2fKstzR0bFixYoHHnhg/fr1say9WNWPurq6xCm/urr65ZdffvbZZ91u9/Lly0/Hl8ZxLll8tCxbL5BX9rd1JM2COVX0hIxzmn5Rkj4uxXTs8amvn8qYevhGsxoDr6r9s8H7en17YqFdEsan8Msj7iyBpDuKx1NCOO6cU+2L/nGHPxSJN3MghIwyR3cGhQ6VxCaWUiSfN0dv0dTkbDUGEKGQFIoCBGYXsU/fhqwUS1aKef02n0b80D2rlKFQZmMGOR5r+6oj2hhUE3NYGWCWXku16oVD5pyWpVn0u6LJ03KDCgVGOxVsCCg9le8QcwzgMhv6xOOaQ1qNX0uakIsDDMxllLZ6e53kBaoNsYl96lMzgB3tkeQdEqYNtZDYZN6iFP0vynT/V0Vr/BChsVuL5MsGpmlaW5j96ktfoVUqdMRH+3xRbZ8v0rMmQp4RTAbeyYo7CrXhoFQ40DB+svWWH8qDhyW/ZLrkSv8/lvl+/xs0mWmnV22sN8/6rq78PAAAJMRiMUydnjXlotBH73W+8nxk43ra3sbDedy3CQ/nnTFWnbBwXPbd/9nTGjykbMdJ04kknnljsJO0YVqfcB4AVenMEc4/fdq4Ya8fEL/c65/zbDUAjC2wvDJ/4Ohiq69Ee2dLx4dVXgDsCGpPf9T44ufNKmUFbv3jc/IuHe0e7Nb/fX3rwY4oQ9xSF9hSF/jpRZnzp6V3eqNOk+iPRDUKX+71j8qzvDi/qCLXrIQ14hoIw346oOx5Qt6hlFJKN23aVF5e/uSTT15wwQWPPvpo7PAEQYjVwU1JSUkc8xdffLFhw4Y5c+Y89NBDWVm8+SB3ulhF8mBpRolZv3hn/cGwevQNjg0CuGRxVobjjgJPiUX/DQ7lAWXwRUfg7QZfv68yYK1R7auu8PauUGfSDcZIu2mk3fh1HSPHcRzHnQhvlN6/rn2XNx7LY4gZsnZnsfzb3djhYxCLcjG6sR2aOyPpjj516Fiv3H3G9CImd88EACREY/BJQzh5TZFpZXZJ7C5JsbYxpBERaPz6nxFhiIWadf1kCocZ9K5ZwQyEAmV+hQaTi1AgOPXEbOi7h6qOiE8jifAZAgyzgdWga29UGes5gxOELIsEvbt4BRW6vjmSaMULAFaBVrjk2MRYgZAZhY4SG/lwX+dHTayyE7ooYQCYPHmZ0qawtqkpkAjnfdURbQv1XFkJgjDQymSR341yRyFm56a98oaYX4iHhLzFrBzLjfNb77qNeTuot0Nwe6w3zMc+/6gQDVOn68dNin61gzhSgOO+RfgP6JlU4jJcWux8pbLpyDP7ToBVJwixeB4SMvBibdd/eg+agaKydLP4u2tz5zxb3dKlAKBBIgsvzvzB9AwDhWhIswn41x8U/ejlmpVb2mNHJ0tk/jj3Q7MHGA1CNKAOyzXdPzPn//1jbyCiGWRx0aVZC2dkqiqVbNLEgbb6dS2IeMlQ56s/GigKqEYpmjzixP8HRs+Fl8wqfenVnTt3Go3Gm266afHixbFKebIsm0ymoUOHjh07NhbOu+CCC6677rq///3vAJCTk/OrX/3q2muv5d3rudPNKgo/yHWNcpj+t+rgB81dykn/eSJApkH+f0Wp1+c4+xSY+wZiwL7sCD6yq/EYPzYCZBjkW3Nd2UY+aZHjOI775lIpe7zS+1mzmph/KiPcPUAdnZs6oiu0qSscT2RjrEMVv2wOXeboVYpOQuzVGAIxTPupPtse1ipbo5CoTAdoAbXYYYx1mNUYW9cUTo4LilQb7iCS1M9N2dY2JbkcLwKkygwQFco0IElZbmiUUO59gaFS9klDxB/uicdJQMe7iKTTBZVIcjVcgsyqF/rEJesC6pbktr+IRSYY4DAkVhNFcWC6s9BtndfVWdvatapB+VcjVodFNWk+clTVGrpCjLHYhf265oiKAoCa+D6LbBIhvDkVdxSC0yU4Xf2/Rojluls6X/xjdGslABgvvEQ/blK/K6LeoBs+4vQdJMedETycdyYRxNmlrpr20Kf7+k+EOdHdQppJTpTAJ2nDMSWftfdq5YMIEZWOL7J+9LMhXzUEZQGL04wD3DpNZVHKEEHRmNsiP39LUXVjqMEb1cskz6nP9+gEBCWsIYISpddP8AzJNjX6ogUefVmGUVUZpSAiPPbd3KtHuUwyqcg1iYhqlJHUMmHUj9BdCgDFxcXLly/fsGHDwIEDhw8fLnaPnzz44INGozEvL89sjqdAy7L8zDPPzJs3DwCGDBmSkZFxCr8ljjsCgjjCbvxzRe7f69pX1HsrfcGuI8w+PQwEkAWSY5C+47HdnOMcZDXojqdc3TcfQbCIwgi78Z7CtIku8xHK5HEcx3HcGffvA8Hle4NMjReDEwm5JjV6UaFDZzCOTmUv7AomTvQU4LOG8IxCLTGKjAB2GYlAeiruMbahA7rCmsXY636q2hcNggDQHUcjZJhVc5r1sYmrbWH6VUcUunfCAK1EHew0H9oOYrdPeWtvIPnaQyZYbEVGBAIUk7vOMhbSkGGvi4xqn/Lv/aHkQnX5JjbMbQQiiAShVxddDNJeMTWNwbJd/oNdkcQSAXFcCjVZ+s5SJKJkdTiHWO2l2dHrAqFnqwLP7GE0qSyg0F1cjzLY3BpJrhhoZNFMiwH5xQN3clAQPE+91HDFBWgyp9z34Jk+HI77WvFw3hmWZpZ/NjGnvmv37vZT1mpHJJjr0Pd0tCQiyajQOmoObfaoaizXqctz6hCBMlAVyrpr8CKCqlKzhCMGmDDHxBCAAaNMTa61wdjIASYEEwNQtfi5mzFmNwgzyuwAQBlTVUZyxonj7kBrfIYsIhYXF8fa1CYbPXr0oZ/FZDJNnz79pL8SjjsRaTrpx/mp12SmvNvke7WuY5Mv2B5VjzGoZxaFErNusts6Lyul2KwzCGfT4LNE0CySw31SAVAvEJdOLDTpLvJYL0615hp1/GKc4ziO+yZrCWlLNvs6Qol6dlhk0OYV6O0pTiRkhFtvJDRAu3tiMG1TB20PKm5LdzgPIdMkiqKoKt1xOkZ3BMXnqroWDJP1Ys9psNob1ZI6zxPGznOAUR+fcLq/S/ExCVj3nFPEQRbIset7x9dgY0vkZ2tb93WpSVfv6JbZUKcOiWCUmA6Tm82zHT480KkM6O4kezCg3r269WBASWQTMkLGO9RMpwURHTJBFFh3wFFD8kGjOrmQxY6BAfxtV+dfdwUSbXwZoEti56frRKn/OndEEGTB4NbrPQ4C6E0cs0zQKcW/irDGdnuV5JsRmYDDIAEP53EnTS4ZbJl3s25YhZDGkz+4cwsP5515bqN036QB/7uqtq4zcvS1j4FI0GlIqiyASHLG093vsXA/OYBJI2j9YAyYdtjXGQPW39aMQXz6sGwWBn5HrPge6O3Hfvwc981BENL10vcGuGZnOLZ1hT5p9X/c0rU7EPGpWlijCmUaMMaAIEoEdQTNAknTSRV248WptnK7McdwXP1jvxEI4nc81kJTweFWEBCMAknVSak6ySSeTWFKjuM47tzUFaV3fN5a7VNZd3E3vUBuHaCVZrqIIABAqkkcaNNtaovG41+MNavSvi7FbdEndlJsl8xMCSe1wdVU9Ymvglt82gVZhnSjyBi0hLW3agNU7ZniKiMd4ZJId82vvZ1KSOmZjorAGqPkvs0RFNoAABEoQGNAXd8S6YpSSC5FR8gUR7TQaQIAh0wyjMKuLgrxEnisRSV3fuG7p0JIM4o1ncrvtng3t/fMKWaITkG7PFs26vUAkGORhKQqd4zSl2u1TLt3arZJo/CvfYE/VnWFoj3F9ZCQ6c7o4NQURHxrb+DtfcECi5BvlbLNklUiehEFgmGVftkSfnJ7F02azGCRINcSr4jdGdG6FApJHUCCjGz2sUJRCauMIJQ4eMkO7kQJQsr/Pgx84jZ37uHhvG+EUpfh5xNz/vhl/ZZT0ejWrpfyU/TJS4hnMMkZr1W/c/I7P1aIJGuMUDKT5E3qp6wIx51tbJIwPsU8ym76UZ67KaLUhaItEbVT1cIaY93pbE5JzDTIbp1oE4mxu3zlWQcB8k26fBPvNMdxHMd9G0Q19vwO3yeNEdbdalYgZF5q+KJ8p05viC0hiMOccmVbNBGL8kW0nR2RERmWxMk8xyrPyJRe3guJlrUAEFHU9+rY+weCBJEBsNhAd1JKXbqO5dr1SGKF82CnT4koSU3wGKsJYU1tBDCSvBAYTU5kY4gjjdEbC/UmoxEAdCK5KMvwSYuWmLQLVFvbwm5c1WKVhfaIGlZZUigQjQR+kqMMSo/HLgc7pAxZ3aeSRGk8hdLFlb5nvgowxtrDGqVJnWqRDDcqNxXpzWYTAHx4MPzOgQijKjImEjRJRC8SETGoUm8kVpckviElwnCjUuCwxp8CMMaSSg+yLhXvWNtpkgMhjZVZ8dVpbiLxiB53onh1de6cxMN53wgCwZGZlidTix75/MC7u9u14y7S1ctFBfY0c+/ToWwSx93JvPto8/aTOtBjgYiuUnHkrSS9HESZx/K4bxOJoJ0IdkkoNuuPvjbHcRzHcWfa5rbIn6sDtCcGh+Um9XtF+pSUlOTCbeVO6RXoafgaVemWtuic7jYOACASvLfc8d/m5j1+0itvjmoM4HB97QYY0WmJBw0Vyqo7tb4TYxjrmXvbH4bCIKOyqAQKM9xCd8np2QXmP1d17gkkHQmj/ij1R/vuShDwGk941kCb0WyJLXEapdtLTPduTC7MxzSNtQSih7w5ZunpwiKan+4WBFFjsLUtwjQVGGUAisa8Gj1kk9gxExdRvp+PdnO8nYhDR9xG4UCgJ0zJGPNGVG9EBSQGM0Oq9bsrjuM47nB4Suo3BQIYRHLP+OyfTcgu85hM8omMMMgCGZdtnTsktZ8QmmwWpz0glF6B1kwQTsPYFyKa3CS9XBzzE+niJSR7DIg6HsvjOI7jOI7jzpSDAfW+dR2t4Z5Ynl2Gm3IxOy21T0/VQrts1/ckOjCErT5NSc6kA3Ca9Q9WmAdaCCA5hqtcBIIFZmbQx4cAwxqr6VSOvE3PAQACol3Gi1KiDw0mQ/MydPqeoUSbXnpwhDXbSPp0pO39/mgUyWy3cmupJcXlIUmxyzkl9mtzRJ0oHP5TICLmGti9BfS8vNTYW+/xRWt8UYAjpx0gIOYb6P1FdFi2S5LjNx0GkXw3zyj2V0oYGXPLgDy7iuM47jjx7LxvFqNErihxTRxg21Dv/6jWW9MRagwowejRR6usOqEgxXD+APtFhQ6Hof//rWhJF8fdyXwHaNM21rCRtlazrgbQDh2IOx4ooMmDtixMHSxkj0X7ANBZT2qHHMdxHMdxHHfS2iPaovUdm30UUIjNxUPGrvGEJue5ZX3fLHuXQfRY9C1J18VfdWq1HaGS1F6j4BNzbI8R+tJXXataWYcmMABgFOMzbBEQAJAhIYxKQHP17LwUIZFSt7dT2delUBSOGAlkAqMSsHQdrbBqU9wwOsOS5nLIur4HPCHb+rCqPrG9a2MnKkCAUuxpfCEIwEoM6rXp6vQ8a6bHLfQOlgmieG+5wy22/n0/NCsCA5YopscQAYkVtQtSlDk5wvABHrMlntYnIZvqgi/baZtCKCHAkrYCBEREdAjaRJt6VTYZlZtqsvS6KZhXbNnaGv5Ps0iphrFJyUgA0YBajhF54TOO47jjhf22MuC+IRiDg12R/+73bWz0N/sVf1TriqhhlUoC0YlEJ6DTIBU5DaVu4+hMi9t0nDl3jLLWnbRhE23bDd69tLMe1AgAhVjZCxarmhH754EAAIgACEgABTTYwZpFnEUkezTJqADk42kcx3Ecx3HcN0itL/p6VYvP7+++nkWLwK4tMGRnZpJDcsHCKl2+o3lns68n+QxhZp51ZH4a9um+ylgkFNh+sP2j+ujmTtwXQq+GAKgj1ErQJdF0PS0w0FIryzGLbpfTZrfH9rC1Nfz3bfWqctgEPQJgECBNhlwj5JgFl81kttp1BsNhPyGjPq/3072+D5u17Z3YoApRBnaBDTLSSU5lvFtM97gsVlvf4++mRsO76lv+cyD8RTvWhIlPI4SxHB2rsKkXutkgjynFnSpJSe31GAt0+va3dW5siWzywe4gqY8IXRowAKfI8gx0uEUd74RCp8nqdOt0/RThbfV2vrKt5Z0mciCCMtA8PRtqUSekQFmaJSMj/XDHyXEcxyXUHmjIy06PPebhvLODxiCq0ZBCA4qmaExAkEUiEzTJgv4UdJZkEA2yUDsLtkLED2qYqSFQw6CGmRJGYCBIQCSQDKizgd4KOhsaU1DvAEE6+r45juM4juM4juM4juO4k5MczuOTbc8OAoJBJAaRpBxmIu3JQZBNKJvQln0ads5xHMdxHMdxHMdxHMedMrxIAcdxHMdxHMdxHMdxHMedNXg4j+M4juM4juM4juM4juPOGjycx3Ecx3Ecx3Ecx3Ecx3FnDR7O4ziO4ziO4ziO4ziO47izBg/ncRzHcRzHcRzHcRzHcdxZg4fzOI7jOI7jOI7jOI7jOO6swcN5HMdxHMdxHMdxHMdxHHfW4OE8juM4juM4juM4juM4jjtr8HAex3Ecx3Ecx3Ecx3Ecx501eDiP4ziO4ziO4ziO4ziO484aPJzHcRzHcRzHcRzHcRzHcWcNHs7jOI7jOI7jOI7jOI7juLMGD+dxHMdxHMdxHMdxHMdx3FmDh/M4juM4juM4juM4juM47qzBw3lnn/DaxdPS06f9ek34BDbeu+LWIsz/3oraU35YHMdxHMdxHMdxHMdx3OnHw3lnSOOqp340e1wRIiKmD5p2ze1PvVvrPbZNN72/aFVj46qfr9qU2NmrsxERH1xz6MrhyqdmFyGmz1u2FwCgcc3SF3ZD7YtL19T1rONd+8Jjbx8xvrd2MSLiNcsaj+0IOY7jOI7jOI7jOI7juNOEh/POgPDaxdPKp93+hnfQnCVLHlmy5K4ZaVWv3z4jv+LBY0q4K5+zdMGFUxe8PLf8qKvuXXbLxbev8M9dumbp3FwAgLQLFzx09dRZDyyYkZVYqfGd3926sJJH6jiO4ziO4ziO4ziO484C4pk+gHNPeM1jP1y0Cu5eWbVkhr174T2LFr3xekP5WP0x7EBfOPfJ9+Yefb29y+aNnbcMpj70xguxWB4AgGvqfa9N7b1eQ+1nAEOO+fg5juM4juM4juM4juO4M4eH875221Y9WQnwwOyeWB4AgL30yltKT+G7tK5aNGfessaxD61Zed+YIwYJG2t38Mw8juM4juM4juM4juO4swSfbPu1U6ERAGobjlYpz7vp1cW3js1HRMT8cdcsfOHL7i1ilez6q5QX51+z+LJpi9eOfeizd/rG8uqWze6pgrfpqYvG5afPXgYA94/DmBMukNe6admDt8arARaNu/XBFVV9PqG3asWDt04bkh4rFzjvwRVV/p4XG1+djThvRSN4v3zh9pmD0hEx/dZ3WgFgzWLE9F9vArVx1RO3XzIkHRHTh1yy8NWqE+kEwnEcx3Ecx3Ecx3Ecd5bj2Xlfu5LyBQBPvbhgtj285Odzy139rePf9NjcGQvfbsy7+u4ls9IBoGH9U7eet6Lxsx33TTjafFz/msUzZy1am3fLa0vvm2A/4qp5FXNmLyh0LHzmHbh4wZIpeQAArrxjmfDbR7jysdkXL3zHPGPBnCWzLQBdVe88PXvQOw+tfv++sWYAAO/ni2dfvWgVTL1l/sIlN0DHrndeuH/2sjXP17xzS17Pbqo2vrp4ySOrBs2/ZeFEANe4cd1fTuOmFxZe9PoK17wFNyycCg2rn3vssbkbG2D10jl5/RwNx3Ecx3Ecx3Ecx3HctxcP533t7DPuXjb39bnLVj0+r+Lxu0svm33LnHnzrhyb1hNFC695/JaFbzfOenrH0h+Wdi++e1Fdoz7riKG2NUsfe3Rl1bsvvPCR4ZbXPnz+6qOGuuxjb757bGl44TPvwNh5d98z9gQ/UXjNYzcvfCe3J3gHAHd/b+q8sfNmPTy29uGpegB77thZP3/9yetnlcYDjAsuSRs37sFFL3w076EpiQ+1afEjpUvXfNhT6S/hHxvDK1bXXBn/RHffPO5W9+wX7lp2+5z7TvSgOY7jOI7jOI7jOI7jzkp8su0ZkDdnadXW1x+6eWweNFa9/dTCuePSDfmzH10Tn5waXv36/Ztg+JJFPbE8AAB7VtpR8ubefWrhvYtf+KgRjrbiqeV9f+miSrjl3gWJWB4AQO7c2+dD44trNsWeZk1d8ONELA8A9GNnzAZofKeyKnlXMx5+qJ9YHgBcffuiK5Oik65xM64HaPz/7d0/aJz3GcDxJ+DhAinI4OEELkSQDGc85AIFn0gGyTjgMyn4RAuRIFCuKThKhnCKF58zKFI7RF7aCkHiayHlZEiQDDGxIcXnoSB5kgo10dYbXNBBAxHEIA0BZXBCatdKbeE/edzPZzre9+Xe512/vL/fu9L91/17DAAAAIAM5LxHo+9g7dSflv65+eXnnfbMa8PF6C6eHKy+u7wVEdeW2xFxpHzPX8aYXNre3t7utkdjrfXLsemrD2lzue61hYho1fY+cavBd/93cVu9ccuQg6W7XDxb7H921/MCAAAAJGax7SNV6CsNjZaGRuuvTldfbC6/0+68Wane/FbGT57c5St2T4+2zne7lWbz+Ejh0kLjuQf+pt7W172IqJ6YGf7vFrdvsLr/u99f91YvfNq+ML+61u1c7T7oqQAAAAAeS3Lej0LfC/U3ftFc/nh940bEnihG9L7a3IrYXYorHDp18bPN6kvTE0fr/cvtOy9fvX8KT5UjVsujjcYLO16zdXX62PFmp1csDR2r1qrVWkS3MzF38cFOBgAAAPDYsdj2R2JzcyMiBor74jCbPgAABVFJREFUIp4pj0TEX77bdW5X+o5MtedHi735sVeml2/cpxl3UHquWoy4+APzbnWmjjc7xVOX/73+eefszNuNxtuNxquDD3YsAAAAgMeRnPewdT841v/z6U7vloMb5880/xrlyZHBQkTf8NhkOXrNmbm1/9hYbmvt/OLqvYS5gVdai5OVuNqsvT7/Q0tbiwO1iPhqc9c77RWGRiYOxerJ8dt269u4trj4962IiC96a72I8vPP7/v+5Nrqym5vCAAAAPD/y2Lbh2yje30rLjQP97eqJ0aHB/ZGxPpqq31uLYamZt+qFCIiCpW3Zqeu1JqvHzhwpTH+s/6IL7tX5mcvRf2TwbMvF+/6XoXK6c5SDA++Mza2v3jxt8N9d7yqWCwVI9779ViMl2505r8Yu/zR6J0/SPG3qbGXWrcffHnm8pvlxrn2SmWsWTmw9O1D3Ry4O/Dap4PvV4v7K9Wjsfjn8ZE9K9Vn90asr3y4GKP1Wiwu3vXDAAAAABBy3kPXNzx5ufubTvv38/OXWhNzvYhiaejYG4sL48dL3+e2pyqnPlutzE2deb898XEvnqnUjowv/KNeO3jnIrezQuV0e6F7eOR3h6tPLnVOV+6wGV9huHnpj70TZ1rvTQwcqtdPlvt3+rPeWqe3dvvBF7ciIp4eba+VR/5wZvaj1sRcL4ql4aO1s52J+tDN+DhQ/3Bp42Rj9oPpiRio/Ko+cW6ldnB99pOmnAcAAABwT57Y3t5+1DMAAAAAADvqXl8f+Om3r2DZOw8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0pDzAAAAACANOQ8AAAAA0tjTvb7+qGcAAAAAAO7KN075NgXHjbSVAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1、ONNX\n",
    "ONNX( Open Neural Network Exchange) 是 Facebook (现Meta) 和微软在2017年共同发布的，用于标准描述计算图的一种格式。ONNX通过定义一组与环境和平台无关的标准格式，使AI模型可以在不同框架和环境下交互使用，ONNX可以看作深度学习框架和部署端的桥梁，就像编译器的中间语言一样\n",
    "\n",
    "由于各框架兼容性不一，我们通常只用 ONNX 表示更容易部署的静态图。硬件和软件厂商只需要基于ONNX标准优化模型性能，让所有兼容ONNX标准的框架受益\n",
    "\n",
    "ONNX主要关注在模型预测方面，使用不同框架训练的模型，转化为ONNX格式后，可以很容易的部署在兼容ONNX的运行环境中\n",
    "\n",
    "\n",
    "- ONNX官网：https://onnx.ai/\n",
    "- ONNX GitHub：https://github.com/onnx/onnx\n",
    "\n",
    "![image.png](attachment:image-2.png)\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、ONNX Runtime\n",
    "\n",
    "- ONNX Runtime官网：https://www.onnxruntime.ai/\n",
    "- ONNX Runtime GitHub：https://github.com/microsoft/onnxruntime\n",
    "\n",
    "ONNX Runtime 是由微软维护的一个跨平台机器学习推理加速器，它直接对接ONNX，可以直接读取.onnx文件并实现推理，不需要再把 .onnx 格式的文件转换成其他格式的文件\n",
    "\n",
    "PyTorch借助ONNX Runtime也完成了部署的最后一公里，构建了 PyTorch --> ONNX --> ONNX Runtime 部署流水线\n"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
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"
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 安装onnx\n",
    "pip install onnx \n",
    "#### 安装onnx runtime\n",
    "pip install onnxruntime # 使用CPU进行推理\n",
    "### pip install onnxruntime-gpu # 使用GPU进行推理\n",
    "\n",
    "注意：ONNX和ONNX Runtime之间的适配关系。我们可以访问ONNX Runtime的Github进行查看\n",
    "\n",
    "网址：https://github.com/microsoft/onnxruntime/blob/master/docs/Versioning.md\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "ONNX Runtime和CUDA之间的适配关系\n",
    "\n",
    "网址：https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html\n",
    "\n",
    "![image.png](attachment:image-2.png)\n",
    "\n",
    "ONNX Runtime、TensorRT和CUDA的匹配关系：\n",
    "\n",
    "![image.png](attachment:image-3.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型转换为ONNX格式\n",
    "\n",
    "- 用torch.onnx.export()把模型转换成 ONNX 格式的函数\n",
    "- 模型导成onnx格式前，我们必须调用model.eval()或者model.train(False)以确保我们的模型处在推理模式下\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.onnx \n",
    "# 转换的onnx格式的名称，文件后缀需为.onnx\n",
    "onnx_file_name = \"resnet50.onnx\"\n",
    "# 我们需要转换的模型，将torch_model设置为自己的模型\n",
    "model = torch_model\n",
    "# 加载权重，将model.pth转换为自己的模型权重\n",
    "# 如果模型的权重是使用多卡训练出来，我们需要去除权重中多的module. 具体操作可以见5.4节\n",
    "model = model.load_state_dict(torch.load(\"model.pth\"))\n",
    "# 导出模型前，必须调用model.eval()或者model.train(False)\n",
    "model.eval()\n",
    "# dummy_input就是一个输入的实例，仅提供输入shape、type等信息 \n",
    "batch_size = 1 # 随机的取值，当设置dynamic_axes后影响不大\n",
    "dummy_input = torch.randn(batch_size, 1, 224, 224, requires_grad=True) \n",
    "# 这组输入对应的模型输出\n",
    "output = model(dummy_input)\n",
    "# 导出模型\n",
    "torch.onnx.export(model,        # 模型的名称\n",
    "                  dummy_input,   # 一组实例化输入\n",
    "                  onnx_file_name,   # 文件保存路径/名称\n",
    "                  export_params=True,        #  如果指定为True或默认, 参数也会被导出. 如果你要导出一个没训练过的就设为 False.\n",
    "                  opset_version=10,          # ONNX 算子集的版本，当前已更新到15\n",
    "                  do_constant_folding=True,  # 是否执行常量折叠优化\n",
    "                  input_names = ['input'],   # 输入模型的张量的名称\n",
    "                  output_names = ['output'], # 输出模型的张量的名称\n",
    "                  # dynamic_axes将batch_size的维度指定为动态，\n",
    "                  # 后续进行推理的数据可以与导出的dummy_input的batch_size不同\n",
    "                  dynamic_axes={'input' : {0 : 'batch_size'},    \n",
    "                                'output' : {0 : 'batch_size'}})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注：\n",
    "算法版本对照文档：https://github.com/onnx/onnx/blob/main/docs/Operators.md"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "source": [
    "### ONNX模型的检验\n",
    "\n",
    "我们需要检测下我们的模型文件是否可用，我们将通过onnx.checker.check_model()进行检验\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import onnx\n",
    "# 我们可以使用异常处理的方法进行检验01\n",
    "try:\n",
    "    # 当我们的模型不可用时，将会报出异常\n",
    "    onnx.checker.check_model(self.onnx_model)\n",
    "except onnx.checker.ValidationError as e:\n",
    "    print(\"The model is invalid: %s\"%e)\n",
    "else:\n",
    "    # 模型可用时，将不会报出异常，并会输出“The model is valid!”\n",
    "    print(\"The model is valid!\")"
   ]
  },
  {
   "attachments": {
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4SZIkSZIkSZIkSZIkSVLMMgQnSZIkSZIkSZIkSZIkSYpZhuAkSZIkSZIkSZIkSZIkSTHLEJwkSZIkSZIkSZIkSZIkKWYZgpMkSZIkSZIkSZIktanDhw8TCoWiXYYkSYpBoVCIw4cPt+oZQ3CSJEmSJEmSJEmSpDZVVVXFkSNHol2GJEmKQUeOHKGqqqpVz5zWTrWoiwgd+gj25Ee7DHWEv7Xuv1wkSZIkSZIkSZLUtVVVVbX6L7AlSZKOhyE4nZAz4k8nKalvtMtQB9izZw/vv/95tMuQJEmSJEmSJEmSJEmSIhiC0wlJSkoiJycn2mWoAzz11FM89dRT0S5DkiRJkiRJkiRJkiRJinBKtAuQJEmSJEmSJEmSJEmSJOl4GYKTJEmSJEmSJEmSJEmSJMUsQ3CSJEmSJEmSJEmSJEmSpJhlCE6SJEmSJEmSJEmSJEmSFLMMwUmSJEmSJEmSJEmSJEmSYpYhOEmSJEmSJEmSJEmSJElSzDot2gVIkiRJkiRJkiRJkjqf+Ph4unXrFu0yJElSjDl8+DBVVVWtesZOcJIkSZIkSZIkSZKkNhUfH09cXFy0y5AkSTEoLi6O+Pj4Vj1jCE4xr6CggCFDhlBWVhbtUk4Kubm53HLLLVRWVka7FEmSJEmSJEmSJHVR3bp1IxAIRLsMSZIUgwKBQKu7yRqCU7vLzs4mEAiQnZ1du1ZZWcktt9xCIBAgNze3dr2goIBAIMA999zDwYMHj3n2wYMHef7557n33ntJSkpq8vxAIEBBQUGjZ483PJebm1t7bnNnH63ee+65J+L5mqv+78PR1PweNbxqgm/jxo0jMTGRJUuWtOp7SZIkSZIkSZIkSZIkSbHIEJzaXb9+/QDYvXt3bbCttLSUpUuXArBixYra9WXLlgEwcuRIunfvfsyz169fT3l5ObfcckvtWllZGTfeeCNZWVmEQiFCoRCpqakRz9WE51rr4MGDfP7551RVVREKhVi5ciXZ2dkt7rrWvXt35s6dW1tXKBSitLSUO+64I+I7HE1qamrE86FQiAcffJC77rqLhIQEunfvTmZmJosWLbIbnCRJkiRJkiRJkiRJkjo9Q3Bqd0OHDmXw4MGUl5dTVVUF1IXdgNr1gwcPsnv3bgASExOPeW5NkK0m/FVjwYIF3HvvvY2Cb/WtX78egMsuu6xV36V79+5873vfqw3oDRw4kK9+9atUVFS06pz6FixYwNixYyO+Q2uUlZVRUlISEaJLSkpi0KBBdoOTJEmSJEmSJEmSJElSp2cITu2uV69enHfeeSxdupTS0tLasNvNN9/M5MmTa9erqqooLy/n5ptvZuDAgcc8t6kucJWVlezevfuoXdUqKyt5/PHHueuuuxrdKysrY8iQIbUjTmvGqjY3qnTJkiUMGjQoYhRrdnZ2xDjX3Nzc2lGlTb2vYYCttTU0F6IbP348v/71r1s97lWSJEmSJEmSJEmSJEmKJYbg1O4SEhJqu7KVl5eza9cugsEgqampjBw5sna9oqKCvXv3kpiYSHx8/FHPbK4LXEVFBT179uTll18mEAgQCAQiAmkATzzxBGPHjm0yaJeUlMTrr79OdnY2r7zyChkZGWRlZZGRkVG7pyakFggEAMjKyoo4Iysri5EjR5KZmclTTz3FihUr+N3vftdkp7emAmwtqaF+LQ1DdPXPGTFiBAsWLDjab6UkSZIkSZIkSZIkSZIU0wzBqUP069cPgB07dlBRUUFRURH9+vWrHZVaf33kyJG140ab01QXuBqvvfYaPXr0IBQKEQqF6NOnD//1X/8FQEFBAbt372bcuHHNnp2QkEBubi5PPvkkWVlZjcaqJiUlUVhYSCgUAmiyy1tGRgYjR45k/fr1zJ49u8nvc7SudceqocbatWuPOkr1Bz/4ASUlJXaDkyRJkiRJT8426AAAIABJREFUkiRJkiRJUqdlCE4doibstnv3bl555RUGDx7M0KFDa0elFhQU8PzzzwOQmJh4zPOuuuoqEhMTWbJkSaN7l112WUSwbPz48ZSUlLBmzRoefPBBMjMzjxqyq6ysZMqUKWRlZZGdnV07lrQpGRkZpKamNqojNzeXHTt21HaEq9+JrkZpaSl9+vRpMsDWkhoOHjxIUVERQ4cObba+psa1SpIkSZIkSZIkSZIkSZ2JITh1iJqwWzAYpKioiJSUFPr27Vs7KnXp0qXk5ORw8803NzmmtKHu3buTmZnJokWLIrqw9erVi7POOqvJZwoLC3nttdcYOHAggUCAXr168eKLLzJw4EByc3OB8HjR9PR0ZsyYQWpqKrm5uWRnZ9feb4ns7Gx27NhRO8J05MiRfOtb32rULW7ZsmXccMMNjZ5vaQ27du0CoG/fvk3WUVlZyaJFixg/fnyLa5ckSZIkSZIkSZIkSZJijSE4dYiasFtRURGvvfYaffr0qe3GVjMqFSA1NbXZ0Z4NJSUlMWjQoIgubAkJCfTp04cnnniidm3BggUMGjSIyZMn145IDYVCVFRUcMcdd1BaWkpGRkbtmUuXLq3tnJaQkMCSJUtq75eVlfHKK6/Unl1QUMDLL78c0Y0tKyuLrKys2s8ZGRksWbIk4ntVVlZSUlJCr169mvxeR6uhxtq1aznzzDOb7WpnFzhJkiRJkiRJkiRJkiR1BYbg1GHqh93qd0CrGZXacE9LjB8/nl//+teUlZXVrtUE0AKBAIFAIGLtRPXq1Ysnn3yy9uwf/vCHvPTSS60OmlVUVPD1r3+92S5uLbFjx44mO8mBXeAkSZIkSZIkSZIkSZLUdZwW7QLUdWRkZDTqZgbhzmeFhYXHdWZSUhLf+c53WLBgQUTQrWE3tqYkJCTwm9/8plXvq+nKdqKSkpL4+c9/fkJnHO37PfHEE3aBkyRJkiRJkiRJUsypWDiZEUv+npVP3UbjmUqSJElNsxOcYt4tt9xCQUEBBQUF0S7lpFBWVsbKlSvtAidJkiRJkiRJkqQYUcFvvzeQgQMHMmL68mgXI0mS2kwp+QsX8ura/e3+JkNwink13dlSU1OjXcpJISkpiaVLl9oFTpIkSZIkSZIk6aRUSV5mCikpNdcciovmkJIyjbx91VuK5oTX9+UxLSUl8h7FzEmp/3wKc4rqnx++H7lW78yaXY+nkPJ4MdS+I3xNW1TZjt+9GXvz+dObE3mxtJSVM6/v+PdLkqSY5zhUSZIkSZIkSZIkSeoQleRljmEm01kcTCMBwiG0tJnA8AZ7y3nmpzAxGGRWzVLRHFImzyc9J0hwcP21FMgJMnUwrbP9Gab9dBQ/CQbr1TKGaSxm1tiE4/2SrXfebeSUhn+s6Li3SpKkTsQQnCRJkiRJkiRJkiR1hKJcZq5OZ15NAA6gdxo/uT+fMQ813LyKxAmzSK79XEnes/PhznmRYbfBU1l8fzljns0jY3a9c1tidSITm6wll+KxU+u9W5IkqYXK8lm46cPItV0rWLir+udzBjFu1MA2f60hOEmSJEmSJEmSJEnqAMUr5sOw6VzQYD3h64lAeYPV4SSeX+/jvgLyV0P6hMbRtISvJ8LqfAr2pZHWuxUFDUtsXMvfjWI4+ezcB8mtOUuSJAkgaRTjkmo+lJK/sISqviO5dei57fraU9r1dEmSJEmSJEmSJElSnUsubmG3tkQubhRCaxCMq3F+YqNhqm1biyRJ0snNEJwkSZIkSZIkSZIkxYRVlL/fxPL75axqq1e8X86qJgN4kiRJJy9DcJIkSZIkSZIkSZLUAS5IHA4vvEFxg/XKdxuOQm1C71RGDYPydysb3ap8txyGjSK1N8AFJDaxr8l3NFFLeGRr4zGpkiRJrTeQUePGtfsoVDAEJ0mSJEmSJEmSJEkdImHsRNKZz6TH60XPiuYw5qGW9HFLIG1COqseGsOconrLRXMY8xBM/8+06tGmCaTeOJxVD+XWBdz25fFwk+9oXMukFyB9QppjUiVJUkw5LdoFSK1RWVlJRkYGd911FxkZGVE/R5IkSZIkSZIkSWq5ZKYG50HKJFJeqF66cx7BHEiZ3IJucIOnEsxLZFpaCim1i+nMC84iud62hLE/YfrrY5iUMj+8MGw6i3PSGTO5wXl3zmNx4jOkpNQE5IYzPS9ImqNQJUlSjDEEp3Z38OBBMjMzycnJiVi/+eabyc3NJSGh5f+OZMmSJSQmJjJu3LiI9ezsbB544AEAHnzwQbKysiLul5WVcfvtt/PLX/6S1NRUEhISyMrKIjs7m1tuuaVVNUgnvZJiOHQIrhwa7UokSZIkSZIkSVIjyUwNBplaf6noDSCRi2vCZ4OnEgw283jvNGYF047xjgTSZgdpuKupMxPGziI4tgVlS5IkncQMwSlqli5dSkZGRouDcJWVlTz//PNkZWXRvXt3oC5g16dPH0KhULPPLliwgKKiooi11NRUUlNTWbJkid3g1HmUFMOd46CyEgjBhRfBgCS44koYNgIuGQDn+s+3JEmSJEmSJEk6mRSvmA/DpnNBtAs5CfQal0PpuGPvkyRJqu+UaBegrmXlypWEQiFWrlwJwN69e6moqGjRszVd4K666qratfXr1wPw7//+780+V1ZWxu7du7njjjsa3Rs/fjyLFi2isrKyNV9DOnkNSoa81+G5/4aMiZBwDqxfC489AhnfgqEDIel8uPU6mPl/4L/nw4a10a5akiRJkiRJkqQuopg5mXnU/5upykXTmPTCcKb/ZxrOLpIkSTo+doJTVKWkpNC3b99j7muqCxzAsmXLuOuuuyLW6jt48CCzZ8/m29/+Ni+//HKj+0lJSQwaNIgnnnii0QhVKWZd2Dd8jboxcj24EgrXw/q3oeQdmPdLOPVUOHI4fL/vxTBgIFx+hV3jJEmSJEmSJElqFxeQyCTGpMyst5bOvOBUkqNWkyRJUuwzBKcONWLEiNqfH3zwwRYHz5rqAnfw4EE+/fRTKioqGDJkCEVFRQwePJiXXnqJpKQkABYuXEifPn0YMWJEkyE4CHeDmzp1KmVlZbXPSZ1SyojwVd/2rbB5E7zxGhSug9UrYNlS+H8fgRDwle5wyaVw/U3Q71K4dABcOTQq5UuSJEmSJEmSFPsSSJsdJC3aZQDJU4IEo12EJElSGzEEp6h54IEH2L17N7Nnz262kxs03wUO4MCBA/zxj39k9erVdO/enYKCAv73//7f5ObmUlFRwaJFi3j88cePWkdSUhLf+c53WLBggd3g1PVc0j98jf1m3dqhQ7DhbXj9NSjZCH/ZDk/MhlNOhS+/BEKQ2A+SBsFl37BrnCRJkiRJkiRJkiRJiipDcOpQK1euJDU1lcrKSjIyMsjJyWHkyJFkZGQ0+0xCQgJ33XUXzz//PFdddVWjIFz9cahXXXUViYmJrFmzhjlz5pCVlUVCQgIHDx5s9vzKykoWLVrEjBkz2uZLSrHu9NOb7hpXUgzr18GGt2BNAeT/Gf70anXXuAB85SvQfwCMvMGucZIkSZIkSZIkSZIkqcMYglNMGDduHCtWrGD9+vWkpqYC0L17d/r06dPk/l27drF06VKWLl0asZ6Tk9NoDOuSJUsYNGiQo1ClYxmUHL7unFC3duCTcDju97+FzcXw3nvhrnEECM9TJdw17rLLIekyu8ZJkiRJkiRJkiRJkqQ2ZwhOHWrEiMjOUoMHD2bo0GN3iurevXuT3eBuuOEGsrOzyc3NJSEhgfXr11NeXs7DDz/MPffcU/v8wYMHyczM5K677qoN0YFd4KQT1vOsprvGbVgLq1aEfy3dCK+9CksXV3eNA7rHw4AkSB1l1zhJkiRJkiRJkiRJknRCDMEpagYPHsxLL73U4g5sV111Fc8//zwLFy6sHZ+amppKVlYWvXr1AuDmm2+uDcS1hF3gpHZy5dDGobb9+2DdW+ERqsVFsHMnFG2obhpX3TkusR9cPjgcirNrnCRJkiRJkiRJkiRJagFDcGp33bt3Z+7cucydO/eEz8nMzGTGjBnccssttUG31NRUQqFQi2qor6ysjF//+tfMmTPnhOqS1ELn9oZbxoav+oIr4U9/hM0bYftWePUV+PJLeOznQCjcNS7pMhh+nV3jJEmSJEmSJEmKEYcPHyYuLo5AIBDtUiRJUowJhUIcOXKkVc8YglNMSUpKYtCgQTzxxBNkZWWd0FkLFixgxIgRdoGToq2pcarv7YIV+VCwHDYXQ9lmKFoPhMLjVCHcNe6KK8PBOLvGSZIkSZIkSZJ0UqmqqiI+Pp5u3bpFuxRJkhRjjhw5QlVVVaueMQSn49avXz+WLl3a4e890fBbW5/TVZSUlJCcnBztMtRVXNgX/ud3wleNQ4egIB/y/wwb1sGe9yDvZSAAjz0S3hPfAwZeBikj7RonSZIkSZIkSVKUVVVVtfovsCVJko6HITgdt4suuogDBw6wbds2Lr300miXo3a2fft2Ro8eHe0y1JWdfjrccHP4qq9mhOr6tbBlM2zaGP45AIQCQAguvhSSB9s1TpIkSZIkSZIkSZKkTsgQnI5bnz59gPBY0enTp0e5GrWn119/nffff58rrrgi2qVIjV3SH37075FrBz6BP/8R3syHspLweNW8l8P3Hvs5EIIePeCyy+Hvhts1TpIkSZIkSZIkSZKkGGYITsdt5MiR3HTTTSxcuJBRo0YxfPjwaJekdpKVlcU3v/lNbrrppmiXIrVMz7Ng3B3hq763V4eDcevWhMNxheth7VsQCEGoek+//nD5FXaNkyRJkiRJkiRJkiQpRhiC0wn52c9+xq233srUqVN56aWXuOSSS6JdktrQvn37mDp1KocPH+bee++NdjnSibtmWPiqb/8+WPIHWPYn+MsOeH8P7NgKBOCxR8J7evSAy4fA1X9n1zhJkiRJkiRJkiRJkk4yhuB0wl599VXuuOMObr/9du6++25uuukmBgwYEO2ydAL27NnDn//8Z+bMmcOpp57K008/zemnnx7tsqT2cW5vuOu74au+Rb+Dt4OwqRi2lcJbq2BNARCgtm3cpQNgULJd4yRJkiRJkiRJkiRJiiJDcGoTL774IrNnz+bpp5/m6aef5swzzzQIF6Pee+89PvjgAwBGjBjBL37xC+Li4qJclRQFY78Vvuor3QT5r8Oby6B8O+zaBdu2hHNxj/0cCIW7xl1xJVx5jV3jJEmSJEmSJEmSJEnqAIbg1GYyMzO5+uqrKS8vZ9euXbz77rvRLqld5OfnAzBq1KgoV9I+UlJS6NevH1//+te57rrrol2OdHIZ+I3wdc/UyPXnfwUb1kHZJnj3L7B6JawuoLZjHED/JLjscrvGSZIkSZIkSZIkSZLUxgzBqU1dd911nT44FQgEACgrK4tyJZJOGk2NUy14E1bkw4a3YGsZ7NgOW7dAIASPPRLe0+MMuGKIXeMkSZIkSZIkSZIkSToBhuAkSWoPqdeFr/oOHIDf5sLK5VC+A95/v7pr3ErCM1WrO8cNuAwGDrJrnCRJkiRJkiQppsXHx9OtW7dolyFJkmLM4cOHqaqqatUzhuCkVkpPT2f+/PnRLkNSLOrZE+7+fviqb+FLsPYt2FICWzbDltLwrwHgsZ8DITjjDEi2a5wkSZIkSZIkKTbEx8cTFxcX7TIkSVIMiouLIz4+vlVBOENwkiRF27jbw1d9pZsg/3V4cxls3wqVFdVd4wqo7RgHkDQIki6za5wkSZIkSZIk6aRiBzhJknS8AoEA3bp1MwTXqR06FPm56vPo1CF1FV98Qd2YygB89GGUC1KXMfAb4eueqXVrhw7BghfgrWC4U9zuXVBWAmWbIRCCxx4J7zvjTEgebNc4SZIkSZIkSZIkSVKXYAgu1uz/IPLzyuXRqUPqKjYVU9d1KwTlO6JZjbq600+Hu74bvuorWA4r8mFtEHZuhw8/DHeNC66EUE2IE7jscuifZNc4SZIkSZIkSZIkSVKnYggu1gROjfy8pRS+cxsMSg6HI9Tuvr1rK8P69YHZP4t2KWpPX3wR7rC1ZlXk+t/+Fp16pKNJvT581ffeLlj0+/B/hrdvgQ/eh82bYPNGIGDXOEmSJEmSJEmSJElSpxEIhUKhY2/TSWPHNhj9d9R1pqoRaGJNUpubPRfG3R7tKqTjc+gQvLYYVq2EjYWwqxw+/ggIhMep1v8/I4OSw4E4u8ZJkiRJkiSpizhw4AAAhYWFbX72kCFDiIuLo6qqqs3Plk5WZ599drRLkCRJMe7jjz9u8V5DcLEo+374/34Z7SqkrmfkaHhhYbSrkNpe4TpY9hqsXQPbtkDl/uquhw0C1mf2hMuvsGucJEmSJEmSOiVDcFLbMgQnSZJOVGtCcI5DjUVZD4XDCc/mRLsSqeu48R/gyV9HuwqpfQy5OnzVt38f/HkprMyHzcXw/h749FNYvRKCKyFULyBn1zhJkiRJkiRJkiRJUhTZCS6WvfFnmPtY+OeeZ4VDCGp3CxcuZM+ePUyZMiXapag97d0D5TvCP//DWPjuPdGtRzoZHDoEBfmQ/2d4pxB2vwv79lHXLa5eMM6ucZIkSZIkSYoxdoKT2pad4CRJ0olyHKrUjjIyMli7di1lZWXRLkWSTg4lxbD8dSjaAMWF4RBpzTjVQChioqpd4yRJkiRJknSyMgQntS1DcJIk6UQ5DlWSJHWcQcmNu5Hu3wfr3oI/vQob1sIHH8BnB8KBuZKNQAgeeyS8t+dZ8I1ku8ZJkiRJkiRJal7RHFImw7zgVE7O2UiV5GWOIf/Gxcwam3ASnCNJktS1GIKTJElt79zecMvY8FVfcCW89mo4CFe+Pdw17sABWL0SVhcQ0TbOrnGSJEmSJEmSJEmSpBYwBCdJkjpOyojwVd/2rbDiDdiwDtYGYf8HcOhwuGvc5mIIBewaJ0mSJEmSJEmd1bpHGJjxTDM3r+eh/BxuO68DzpAkSTHNEJwkSYquS/qHrwn11vbvg+1b4L/nw5Yy+MsOOPAxHPgk3DFu9crIM+waJ0mSJEmSJEmx6er7KC29r9Fy4S8Gcgffb1l4rS3OkCRJ7aCU/IUlVPUdya1Dz23XNxmCkyRJJ59ze4evhl3jgtVjUzcWQmkJvPcuEAqPV91cHJ6matc4SZIkSZIkqQuoJC9zDDNXQ3pOkKmDw6vFj6cw6YWaPenMC04lmXr3mMfixGcY89AqGDadxbNTKcgcQ/6Ni/kJD4fXARjO9LxZpPVu+p1A9fNpJBxP+fvymJY2k1W1C5G1AlQumnaUeoqZkzKJ+fX21/99CJ+fz6i8WVy8oPnfk6ZqGX7/YmaNPa5v1Xb2/pYnf3U9D+UPie4ZkiQpZhiCkyRJsaO5caqbN8Ebr8HaNbD3ffjrX6u7xlWH5gjV7bdrnCRJkiRJkhTzih8fw8zV9YNh1QE1prM4GA6mVS6axpiUOZGhr+3P8DATCQZnVS9UArDqoTE8fP9igsGEurN+mkdqbcitOnR25zyCs5Ora0hhTCbHEYQrZk7aTBJzgsyqDe/NidhxrHoqFz0DOUGCNaG3ojmkTJ5GYoPgXv5PUyifECQ4peY9KUxKoe73pGgOKZPnk15bSzFzUsYwjegG4Qqfv5/l332RnBPo4NYWZ0iSpNhhCE6SJMW2mnGqY79Zt3bgEygphryF4Y5xu3ZCxT4IBcLrm4vDP9s1TpIkSZIkSYo5lYumMemFBp3RinKrQ3F1gbSEsT9h+utjeGZRRl2ga3UiE2cnNz502HR+Uhv6SiBtQjozJ+dTsC+NtN7h0Nl80pk3pe7Z5CnzSE+ZRG5RWl0HtpYoeiN8Vr1nkqdMPXo9/zmd/LS6ehLGziLiicEZTB82hvy3KkmrfW4V3Lg4orbkKfNIf2FS9e8J5D07H+6cV29PMlNz0kmZnEvx2AYd4zqKXeAkSYptZfks3PRh5NquFSzcVf3zOYMYN2pgm7/WEJwkSep8ep7VdNe44ErY+A6sfwuKi2D3u/DFF9Vd4wrCnePqs2ucJEmSJEmSdHIpmsOYh1aRnhOM6HhWvGI+DJtOasQf3yVw8SUws3wP1ETjhiVyQRPHDr8xNbKb2/mJDGc+5e8DvSspeH0V3DmxQSjsAhKHQf67ldCaENzg0aQziUmZic13kbvk4ibWV1XXU/O58UjU4TdGPpH49YanJDP6TphUvgf27SR/NaRPaBB1Oz+R4eSzcx8kR+GPQytW/Ynl1/09D59AB7e2OEOSJB2npFGMS6r5UEr+whKq+o7k1qHntutrDcFJkqSuozYY94O6te1bYdsWWLYUCtfBrr/Awc/DE1RLNlZ3jcOucZIkSZIkSVLUzWfSZBp0Lqtn9UzGpMxsvH5nvZ+bDJe10AuTSHmh8XLD4NmxJTM1OA9SJlXXmx45shUYnthUVK9O8eMpTHoB0mtHooZHpuZHVkbi+ceuZv7klIggXc2zo479aDso5FfTlzMxN4deUT1DkiTFGkNw0jGUl5eTn5/PhAkTmrxfWFgIwJAhtlOWpJhUM0715jF1azXjVFcshw1vwZZS2L8PCITvBVeGO8cRqnvGrnGSJEmSJElSO0tnXl4iz6RNYlri4roRpzXunEdwSvsN8Bx+fxPvrFXZytOSmRoMMrU6vDYppTxyvOvR7MvjmYbjYFuskp3bYfiNFwA7geM9p52sW8ozTOTFq6N8hiRJijmG4KRjSExMJD8/n+XLl/PMM88AsGXLFgCeffZZnn32WfLz8492hCQp1jQ3TnXDWthUDKuWw+ZN8Jdy+PJvEAqEQ3MlG4GQXeMkSZIkSZKk9tI7jVk55aRMHsM06kJpySPTYfIbFE9Jpu1jcAmk3jicma8XUDm2mfGlJ3B22ux5lKdMajDqtJX2FZC/GojoSreK/LcqSasf3KvelzghAXqnMmrYzMZ7oqhw2TPw3Rc5kdYTbXGGJElqKwMZNW5gh7zplA55ixTjZsyYwbPPPsuVV17J4cOHAZgwYQITJ05kxowZUa5OktRhrhwKd06EJ56FN96GHfthZRE89TzcfQ8kDwkH3wiE9x84EO4a98Rs+Pcfwjf/Hi76KvzjdfCj/wWzfxa+v39fVL+WJEmSJEmSFFMGT2Xx/cNZ9dAY5hTVrGUwfdh8JmXmRfRkK358Gnlt8MdvCWMnkr56JmMeL663Wkle5hyKm32qGUVz6uoGKHqD+S0cXQpA74tJrA641dbx05msamLrqocervf9q/cNm07GYIAE0iakR/4+AuzLY9rjrf5WbaCQpb+CiTecUASuDc6QJEmxyE5wUgskJibyL//yLzz33HOUlJQA8Nxzz3H99dczatSoKFcnSYqqC/uGr6bGqb61Btaths0l8MFeCITCE1RLNobvg13jJEmSJEmSpOOQMHYWi5nGmMkpzK8eg5o2ezFkjmFMysy6jXfOI9gmoz6TmRqcBymTSHmhbnX4/YtJO47T5k9OYX7dKa0cSZrM1Jx0UiaPIeWh8Ep6zmKmM4bI2UXDmZ43kfK0FFJqlhqOjB08lWAOpDSq53i+1Qlat5RnuJ6H+jR1s5BHBt4BuaXcd7Qxp0c9Q5IkdWaBUCgUinYRUiwoLy/n4osvjlh74403DMFJklpuw1rYtiXc/a24ELZtrRunSijcQK7m5xqDksOBuH6XwrARcMkAOLdN/tROkiRJkiRJ9Rw4cACAwsLCNj97yJAhxMXFUVVV1eZnS03al8e0tHxGtSpc17bOPvvsVu2vWDiZEUv+npVP3Uavhjf3/pbJo7bz/dL7jjrm9KhnSJKkmPPxxx+3eK8hOKkVJkyYwHPPPQfA9ddfT35+/jGekCTpGN7bFQ7DBVfC6hWwczt88jHVibjqTQ2CcXaNkyRJkiRJanOG4NRm9uUxLa3p8aQMm87i2WkkdEgNsRWCO5qKhZMZsf37lN7rmFNJkrqS1oTgHIcqtcKMGTNqQ3AzZsyIcjWSpE6hZpzqqBvr1g4dgg1vw/q1sP4t2LoFynfUjVM9cKA6NLcy8iy7xkmSJEmSJEnR1zuNWcEojBPtxN7bvpyJN+REuwxJknQSMwSnTm3Tpk1s2bKFLVu2sHPnzhY9c6zmiAMGDADgN7/5Db/5zW9OuMY+ffrQv39/BgwYwNVXX33C50mSOoHTT4eUEeGrvppxqhvfgbdXQelm+OILarvElWwMX4TgsUfCa3aNkyRJkiRJkhTjhtxbetQxqJIkSY5DVaf02Wef8eijj/KHP/wBgNNCIXp8+bcoV9W0v55yKocCpwBw1ZDB/MeP/5NLL700ylVJkmJGzTjVDW+Hu8OVboaPP6yeoFozRrXBOFWwa5wkSZIkSVIDjkOV2lZbjkOVJEldU2vGoRqCU6eTn5/PTx9+mMqPPuKiIwfp/bdDfCX0ZbTLOqrDgVP46NQ4dnbrwRFg2rRppKenR7ssSVKsqhmnuqkY1q2B0lLYXlZ9szoQ10Quzq5xkiRJkiSpKzMEJ7UtQ3CSJOlEGYJTl/XRRx/xz9/+Nl9+8hEXH/qcnidp97fmHAqcwo5u8VSc2o2cnBzHo0qS2lZJcTgYt2MbLP8zbN8Kfz0EgVB1IK6pZBx2jZMkSZIkSV2CITipbRmCkyRJJ8oQnLqs+3/yE5YsXcqVfz3AGTEWgKvxJQHWd+/JeRddzH8vXBjtciRJnV39capr18C2LbB3D3WBuEB1SK5BQM6ucZIkSZIkqZMxBCe1LUNwkiTpRLUmBHdaO9Yhdag1a9awZOlSEo9UxWwADuAUQvQ7XMWmXbt45plnmDhxYrRLkiR1Zhf2DV+jbqxbqz9OdWtZOBy3tbT6ZnUY7sAnsLoAVq+MPM+ucZIkSZIkSZIkSZI6mCE4dRplZWUAnPe3Q1Gu5MSd88URuoe+YHNJSbRLkSR1RaefDikjwld9JcXhrnGbN0JBPmwpg4NV1bm46nDc5uLwPoDHHgn/atc4SZIkSZIkSZIkSe3IEJw6jS1lZXwl9CVxnWTCb4/PMkV7AAAgAElEQVQvv6B0syE4SdJJZFBy+EobBzwQXtu/L9wxbsPbULwBSktg93vUjVMFDhwId4yza5wkSZIkSZLUZRw+fJi4uDgCgUC0S5EkSTEmFApx5MiRVj1jCE6dRllZGT1ieAxqQ2d8+QXlez/g8OHDdOvWLdrlSJLUtHN7h0ep1h+nChBcGQ7H7dgGReuguAgIQCBUnY0LQMlGu8ZJkiRJkiRJnVRVVRXx8fH+PZckSWq1I0eOUFVV1apnDMGpU+lc/46kc3S0kyR1UUcbp7p9C6zMD4fgqj6vvlndOe7TT2B1gV3jJEmSJEmSpE6gqqqq1X+BLUmSdDwMwanTsJWyJEknuZpxqgCZPw7/un9fOBS3eiVs3ggbi6rHqVKdi6sOx5UU2zVOkiRJkiRJkiRJUpMMwUmSJCl6zu0dvhp2jQuuDHeN27wRSt6B9Wurb1SH4ghUd41badc4SZIkSZIkSZIkqYszBCedgPv+sBSAR/7HzVGuRJKkTqapcarbt8Km4rrOcWUl8PFHQAACoepJ4oHwmFW7xkmSJEmSJEmSJEldhiE4dUnff/oFBqQMb7QefHkBL2X9OAoVSZKkY7qkf/gCyKxeqz9Odcc2KFwPu3aG79Ufp/rpJ7C6wK5xkiRJkiRJkiRJUidkCE5d1qHPP+e32Q+wNu93ANye/TNSvj0ewCCcJEmx4ljjVHdsheIN8FaQ6lZx1I1UJdwxrrmucdemhkNxl/YPh+UkSZIkSZIkSZIknZQMwUnVXsr6MYlDriRxyJXRLkWSJJ2o5sapbtsSDr2tKYDSzfBRJY3GqX76SbhjXMOucVdeEw7E9esPVw0NB+N6ntVBX0iSJEmSJEmSJElScwzBSUfR/9phZPzsUc762nkAfPLBXnJ//G9sXbO62b0f7NzBk3ffWbv+jz/K5Prv3M3yXz/NH//v7A6rXZIkNVAzTvXmMXVrBz4Jh+JqxqmWlsCWzdU363WMCwAb1sKGtyPPPPdr4WCcXeMkSZIkSZIkSZKkqDEEJ1Xrf+0wup9xJh/s3AHA0LRvcVvWg3y0dw8zRg8H4L4/LCXjZ482G4STJEkxpudZTXeNqz9OtaQY1r0Fhw+H7wWAUHVAbv8+2P+BXeMkSZIkSZIkSZKkKDIEJ1W7afIP+coZZ/L2718G4JpvfhuA1+fNrd3z+ry53Jb1IFeN/SdDcJIkdWbHGqdauA6KC6Gyot6GQPUvoXDHOLvGSZIkSZIkqYuLj4+nW7du0S5DkiTFmMOHD1NVVdWqZwzBqcs6vUcPMn72KBk/exSALcFV/Pia8F9E9792GF+7uB8f7d3D2rzf1T7zyQd7+etnn3JOnwujUrMkSYqio41TXb8WNm+ErWXhXwEIhANxoeqf939g1zhJkiRJkiR1GfHx8cTFxUW7DEmSFIPi4uKIj49vVRDOEJw6jUAg0Kr9hz7/nN9mP8DavN/x/adf4JKrr+Eff5TJH//v7No9513Sn9klOxo9WzMyVZIkdXHNjVPdsDbcNW7zxupxqm/D4UPVN6tHqdb8uGGtXeMkSZIkSZLU6dgBTpIkHa9AIEC3bt0MwamLCoWO+9En776T+/6wlGvH/TPb3grWrm8JruLJu+9si+okSVJXcuXQ8FXfe7tgU3HdONUtpbDnPWoDcfXDcfv32TVOkiRJkiRJkiRJaiFDcFK11+fN5basB7lp8g958u47+WDnDr52cT/6XzuMrWtWH/P5rWtWc/CzT+l57rkR6z17f43T/JcukiTpwr7hq7lxqju21oXk6neKC1V3uw2Ewh3j7BonSZIkSZIkSZIkRTAEJ1Vbm/c7rvnmt2vHor79+5e5LetBxt0/g0f+x80A9L92GOPun8Hr8+ayNu93jc4oL9zANWnfqh2rOjTtW1x5y5hG+yRJkoBjj1PdsS0celu/Fg79tfpmvY5xBMId4+waJ0mSJEmSJEmSpC7MEJxUz59zfsnXfvYo13/nbn6b/QC/zX6A27IeZHbJjto9W4KrmgzAAbyU9WMSh1zJP3z/R/zD93/Eoc8/Z8OSxQbhJElS6zQ3TnXb1nAornBdOCT33q7qm4Fwp7ja6fABu8ZJkiRJkiRJkiSpywiEQqHQsbdJJ7/x//zPHNhWxmWHPot2KW3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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ONNX模型可视化\n",
    "使用netron做可视化。\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n",
    "模型的输入&输出信息：\n",
    "\n",
    "![image.png](attachment:image-2.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用ONNX Runtime进行推理\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import onnxruntime\n",
    "# 需要进行推理的onnx模型文件名称\n",
    "onnx_file_name = \"xxxxxx.onnx\"\n",
    "\n",
    "# onnxruntime.InferenceSession用于获取一个 ONNX Runtime 推理器\n",
    "ort_session = onnxruntime.InferenceSession(onnx_file_name)  \n",
    "\n",
    "# 构建字典的输入数据，字典的key需要与我们构建onnx模型时的input_names相同\n",
    "# 输入的input_img 也需要改变为ndarray格式\n",
    "# ort_inputs = {'input': input_img} \n",
    "#建议使用下面这种方法,因为避免了手动输入key\n",
    "ort_inputs = {ort_session.get_inputs()[0].name:input_img}\n",
    "\n",
    "# run是进行模型的推理，第一个参数为输出张量名的列表，一般情况可以设置为None\n",
    "# 第二个参数为构建的输入值的字典\n",
    "# 由于返回的结果被列表嵌套，因此我们需要进行[0]的索引\n",
    "ort_output = ort_session.run(None,ort_inputs)[0]\n",
    "# output = {ort_session.get_outputs()[0].name}\n",
    "# ort_output = ort_session.run([output], ort_inputs)[0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意：\n",
    "- PyTorch模型的输入为tensor，而ONNX的输入为array，因此我们需要对张量进行变换或者直接将数据读取为array格式\n",
    "- 输入的array的shape应该和我们导出模型的dummy_input的shape相同，如果图片大小不一样，我们应该先进行resize操作\n",
    "- run的结果是一个列表，我们需要进行索引操作才能获得array格式的结果\n",
    "- 在构建输入的字典时，我们需要注意字典的key应与导出ONNX格式设置的input_name相同"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 完整代码\n",
    "\n",
    "### 1. 安装&下载"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: onnxruntime in d:\\users\\xulele\\anaconda3\\lib\\site-packages (1.14.1)\n",
      "Requirement already satisfied: protobuf in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (3.20.3)\n",
      "Requirement already satisfied: packaging in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (20.9)\n",
      "Requirement already satisfied: coloredlogs in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (15.0.1)\n",
      "Requirement already satisfied: sympy in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (1.8)\n",
      "Requirement already satisfied: numpy>=1.21.6 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (1.24.2)\n",
      "Requirement already satisfied: flatbuffers in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from onnxruntime) (23.3.3)\n",
      "Requirement already satisfied: humanfriendly>=9.1 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from coloredlogs->onnxruntime) (10.0)\n",
      "Requirement already satisfied: pyreadline3 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from humanfriendly>=9.1->coloredlogs->onnxruntime) (3.4.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from packaging->onnxruntime) (2.4.7)\n",
      "Requirement already satisfied: mpmath>=0.19 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from sympy->onnxruntime) (1.2.1)\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: torch in d:\\users\\xulele\\anaconda3\\lib\\site-packages (2.0.0+cu117)\n",
      "Requirement already satisfied: typing-extensions in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from torch) (4.5.0)\n",
      "Requirement already satisfied: sympy in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from torch) (1.8)\n",
      "Requirement already satisfied: filelock in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from torch) (3.0.12)\n",
      "Requirement already satisfied: jinja2 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from torch) (2.11.3)\n",
      "Requirement already satisfied: networkx in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from torch) (2.5)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from jinja2->torch) (1.1.1)\n",
      "Requirement already satisfied: decorator>=4.3.0 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from networkx->torch) (5.0.6)\n",
      "Requirement already satisfied: mpmath>=0.19 in d:\\users\\xulele\\anaconda3\\lib\\site-packages (from sympy->torch) (1.2.1)\n"
     ]
    }
   ],
   "source": [
    "#!pip install onnx -i https://pypi.tuna.tsinghua.edu.cn/simple\n",
    "#!pip install onnxruntime -i https://pypi.tuna.tsinghua.edu.cn/simple\n",
    "#!pip install torch -i https://pypi.tuna.tsinghua.edu.cn/simple\n",
    "# Download ImageNet labels\n",
    "#!wget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、定义模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import io\n",
    "from PIL import Image\n",
    "import torchvision.transforms as transforms\n",
    "from torchvision import datasets\n",
    "import onnx\n",
    "import onnxruntime\n",
    "import torchvision\n",
    "import numpy as np\n",
    "from torch import nn\n",
    "import torch.utils.model_zoo as model_zoo\n",
    "import torch.nn.init as init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "onnx_file = 'resnet50.onnx'\n",
    "save_dir = './resnet50.pt'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Users\\xulele\\Anaconda3\\lib\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
      "  warnings.warn(\n",
      "d:\\Users\\xulele\\Anaconda3\\lib\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n",
      "  warnings.warn(msg)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ResNet(\n",
      "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
      "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (relu): ReLU(inplace=True)\n",
      "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
      "  (layer1): Sequential(\n",
      "    (0): Bottleneck(\n",
      "      (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "      (downsample): Sequential(\n",
      "        (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      )\n",
      "    )\n",
      "    (1): Bottleneck(\n",
      "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (2): Bottleneck(\n",
      "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "  )\n",
      "  (layer2): Sequential(\n",
      "    (0): Bottleneck(\n",
      "      (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "      (downsample): Sequential(\n",
      "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
      "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      )\n",
      "    )\n",
      "    (1): Bottleneck(\n",
      "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (2): Bottleneck(\n",
      "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (3): Bottleneck(\n",
      "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "  )\n",
      "  (layer3): Sequential(\n",
      "    (0): Bottleneck(\n",
      "      (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "      (downsample): Sequential(\n",
      "        (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
      "        (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      )\n",
      "    )\n",
      "    (1): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (2): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (3): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (4): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (5): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "  )\n",
      "  (layer4): Sequential(\n",
      "    (0): Bottleneck(\n",
      "      (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "      (downsample): Sequential(\n",
      "        (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
      "        (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      )\n",
      "    )\n",
      "    (1): Bottleneck(\n",
      "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "    (2): Bottleneck(\n",
      "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
      "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (relu): ReLU(inplace=True)\n",
      "    )\n",
      "  )\n",
      "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
      "  (fc): Linear(in_features=2048, out_features=10, bias=True)\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# 下载预训练模型\n",
    "Resnet50 = torchvision.models.resnet50(pretrained=True)\n",
    "Resnet50.fc.out_features=10\n",
    "\n",
    "# 保存 模型权重\n",
    "torch.save(Resnet50.state_dict(), save_dir)\n",
    "\n",
    "print(Resnet50)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 模型导出为ONNX格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============= Diagnostic Run torch.onnx.export version 2.0.0+cu117 =============\n",
      "verbose: False, log level: Level.ERROR\n",
      "======================= 0 NONE 0 NOTE 0 WARNING 0 ERROR ========================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "batch_size = 1    # just a random number\n",
    "# 先加载模型结构\n",
    "loaded_model = torchvision.models.resnet50()   \n",
    "# 在加载模型权重\n",
    "loaded_model.load_state_dict(torch.load(save_dir))\n",
    "#单卡GPU\n",
    "# loaded_model.cuda()\n",
    "\n",
    "# 将模型设置为推理模式\n",
    "loaded_model.eval()\n",
    "# Input to the model\n",
    "x = torch.randn(batch_size, 3, 224, 224, requires_grad=True)\n",
    "torch_out = loaded_model(x)\n",
    "\n",
    "# 导出模型\n",
    "torch.onnx.export(loaded_model,               # model being run\n",
    "                  x,             # model input (or a tuple for multiple inputs)\n",
    "                  onnx_file,   # where to save the model (can be a file or file-like object)\n",
    "                  export_params=True,        # store the trained parameter weights inside the model file\n",
    "                  opset_version=10,   # the ONNX version to export the model to\n",
    "                  do_constant_folding=True,  # whether to execute constant folding for optimization\n",
    "                  input_names = ['conv1'],   # the model's input names\n",
    "                  output_names = ['fc'], # the model's output names\n",
    "                  # variable length axes\n",
    "                  dynamic_axes={'conv1' : {0 : 'batch_size'},    \n",
    "                                'fc' : {0 : 'batch_size'}})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4、检验ONNX模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The model is valid!\n"
     ]
    }
   ],
   "source": [
    "import onnx\n",
    "# 我们可以使用异常处理的方法进行检验\n",
    "try:\n",
    "    # 当我们的模型不可用时，将会报出异常\n",
    "    onnx.checker.check_model(onnx_file)\n",
    "except onnx.checker.ValidationError as e:\n",
    "    print(\"The model is invalid: %s\"%e)\n",
    "else:\n",
    "    # 模型可用时，将不会报出异常，并会输出“The model is valid!”\n",
    "    print(\"The model is valid!\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. 使用ONNX Runtime进行推理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exported model has been tested with ONNXRuntime, and the result looks good!\n"
     ]
    }
   ],
   "source": [
    "import onnxruntime\n",
    "import numpy as np\n",
    "\n",
    "ort_session = onnxruntime.InferenceSession(onnx_file)\n",
    "\n",
    "# 将张量转化为ndarray格式\n",
    "def to_numpy(tensor):\n",
    "    return tensor.detach().cpu().numpy() if tensor.requires_grad else tensor.cpu().numpy()\n",
    "\n",
    "# 构建输入的字典和计算输出结果\n",
    "ort_inputs = {ort_session.get_inputs()[0].name: to_numpy(x)}\n",
    "ort_outs = ort_session.run(None, ort_inputs)\n",
    "\n",
    "# 比较使用PyTorch和ONNX Runtime得出的精度\n",
    "np.testing.assert_allclose(to_numpy(torch_out), ort_outs[0], rtol=1e-03, atol=1e-05)\n",
    "\n",
    "print(\"Exported model has been tested with ONNXRuntime, and the result looks good!\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. 进行实际预测并可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 推理数据\n",
    "from PIL import Image\n",
    "from torchvision.transforms import transforms\n",
    "\n",
    "# 生成推理图片\n",
    "image = Image.open('./images/cat.jpg')\n",
    "\n",
    "# 将图像调整为指定大小\n",
    "image = image.resize((224, 224))\n",
    "\n",
    "# 将图像转换为 RGB 模式\n",
    "image = image.convert('RGB')\n",
    "\n",
    "image.save('./images/cat_224.jpg')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "categories = []\n",
    "# Read the categories\n",
    "with open(\"./imagenet/imagenet_classes.txt\", \"r\") as f:\n",
    "    categories = [s.strip() for s in f.readlines()]\n",
    "    \n",
    "def get_class_name(probabilities):\n",
    "    # Show top categories per image\n",
    "    top5_prob, top5_catid = torch.topk(probabilities, 5)\n",
    "    for i in range(top5_prob.size(0)):\n",
    "        print(categories[top5_catid[i]], top5_prob[i].item())\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pre-processing for ResNet-50 Inferencing, from https://pytorch.org/hub/pytorch_vision_resnet/\n",
    "# 先加载模型结构\n",
    "resnet50 = torchvision.models.resnet50()   \n",
    "# 在加载模型权重\n",
    "resnet50.load_state_dict(torch.load(save_dir))\n",
    "\n",
    "resnet50.eval()  \n",
    "#推理\n",
    "input_image = Image.open('./images/cat_224.jpg')\n",
    "preprocess = transforms.Compose([\n",
    "    transforms.Resize(256),\n",
    "    transforms.CenterCrop(224),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n",
    "])\n",
    "input_tensor = preprocess(input_image)\n",
    "input_batch = input_tensor.unsqueeze(0) # create a mini-batch as expected by the model\n",
    "\n",
    "# move the input and model to GPU for speed if available\n",
    "print(\"GPU Availability: \", torch.cuda.is_available())\n",
    "if torch.cuda.is_available():\n",
    "    input_batch = input_batch.to('cuda')\n",
    "    resnet50.to('cuda')\n",
    "    \n",
    "with torch.no_grad():\n",
    "    output = resnet50(input_batch)\n",
    "# Tensor of shape 1000, with confidence scores over Imagenet's 1000 classes\n",
    "print(output[0])\n",
    "# The output has unnormalized scores. To get probabilities, you can run a softmax on it.\n",
    "probabilities = torch.nn.functional.softmax(output[0], dim=0)\n",
    "get_class_name(probabilities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 224, 224])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_batch.size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 model inference CPU time:cost 724.01\n",
      "1 model inference CPU time:cost 497.50\n",
      "2 model inference CPU time:cost 388.34\n",
      "3 model inference CPU time:cost 332.25\n",
      "4 model inference CPU time:cost 292.20\n",
      "5 model inference CPU time:cost 270.67\n",
      "6 model inference CPU time:cost 257.29\n",
      "7 model inference CPU time:cost 245.75\n",
      "8 model inference CPU time:cost 235.34\n",
      "9 model inference CPU time:cost 229.80\n"
     ]
    }
   ],
   "source": [
    "latency = []\n",
    "for i in range(10):\n",
    "    with torch.no_grad():\n",
    "        start = time.time()\n",
    "        output = resnet50(input_batch)\n",
    "        probabilities = torch.nn.functional.softmax(output[0], dim=0)\n",
    "        top5_prob, top5_catid = torch.topk(probabilities, 5)\n",
    "        # for catid in range(top5_catid.size(0)):\n",
    "        #     print(categories[catid])\n",
    "        latency.append(time.time() - start)\n",
    "    print(\"{} model inference CPU time:cost {} ms\".format(str(i),format(sum(latency) * 1000 / len(latency), '.2f')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inference with ONNX Runtime\n",
    "import onnxruntime\n",
    "from onnx import numpy_helper\n",
    "import time\n",
    "onnx_file = 'resnet50.onnx'\n",
    "session_fp32 = onnxruntime.InferenceSession(onnx_file, providers=['CPUExecutionProvider'])\n",
    "# session_fp32 = onnxruntime.InferenceSession(\"resnet50.onnx\", providers=['CUDAExecutionProvider'])\n",
    "# session_fp32 = onnxruntime.InferenceSession(\"resnet50.onnx\", providers=['OpenVINOExecutionProvider'])\n",
    "\n",
    "def softmax(x):\n",
    "    \"\"\"Compute softmax values for each sets of scores in x.\"\"\"\n",
    "    e_x = np.exp(x - np.max(x))\n",
    "    return e_x / e_x.sum()\n",
    "\n",
    "def pre_image(image_file):\n",
    "    input_image = Image.open('./images/cat_224.jpg')\n",
    "    preprocess = transforms.Compose([\n",
    "        transforms.Resize(256),\n",
    "        transforms.CenterCrop(224),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n",
    "    ])\n",
    "    input_tensor = preprocess(input_image)\n",
    "    inputs = input_tensor.unsqueeze(0) # create a mini-batch as expected by the model\n",
    "\n",
    "    input_arr = inputs.cpu().detach().numpy()\n",
    "    return input_arr \n",
    "\n",
    "latency = []\n",
    "def run_sample(session, categories, inputs):\n",
    "    start = time.time()\n",
    "    input_arr = inputs\n",
    "    ort_outputs = session.run([], {'conv1':input_arr})[0]\n",
    "    output = ort_outputs.flatten()\n",
    "    output = softmax(output) # this is optional\n",
    "    top5_catid = np.argsort(-output)[:5]\n",
    "    # for catid in top5_catid:\n",
    "    #     print(categories[catid])\n",
    "    latency.append(time.time() - start)\n",
    "    return ort_outputs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 ONNX Runtime CPU Inference time = 42.00 ms\n",
      "1 ONNX Runtime CPU Inference time = 85.50 ms\n",
      "2 ONNX Runtime CPU Inference time = 77.33 ms\n",
      "3 ONNX Runtime CPU Inference time = 66.25 ms\n",
      "4 ONNX Runtime CPU Inference time = 76.20 ms\n",
      "5 ONNX Runtime CPU Inference time = 69.50 ms\n",
      "6 ONNX Runtime CPU Inference time = 64.86 ms\n",
      "7 ONNX Runtime CPU Inference time = 75.25 ms\n",
      "8 ONNX Runtime CPU Inference time = 80.56 ms\n",
      "9 ONNX Runtime CPU Inference time = 77.10 ms\n"
     ]
    }
   ],
   "source": [
    "\n",
    "input_arr = pre_image('./images/cat_224.jpg')\n",
    "\n",
    "for i in range(10):\n",
    "    ort_output = run_sample(session_fp32, categories, input_arr)\n",
    "    print(\"{} ONNX Runtime CPU Inference time = {} ms\".format(str(i),format(sum(latency) * 1000 / len(latency), '.2f')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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