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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from datasets.Femnist import Femnist\n",
"from graphs import SmallWorld\n",
"from collections import defaultdict\n",
"import os\n",
"import json\n",
"import numpy as np\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"a = FEMNIST\n",
"a"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"b = SmallWorld(6, 2, 2, 1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"b.adj_list"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for i in range(12):\n",
" print(b.neighbors(i))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"clients = []"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"num_samples = []\n",
"data = defaultdict(lambda : None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"datadir = \"./leaf/data/femnist/data/train\"\n",
"files = os.listdir(datadir)\n",
"total_users=0\n",
"users = set()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"files = os.listdir(datadir)[0:1]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for f in files:\n",
" file_path = os.path.join(datadir, f)\n",
" print(file_path)\n",
" with open(file_path, 'r') as inf:\n",
" client_data = json.load(inf)\n",
" current_users = len(client_data['users'])\n",
" print(\"Current_Users: \", current_users)\n",
" total_users += current_users\n",
" users.update(client_data['users'])\n",
"\n",
"print(\"total_users: \", total_users)\n",
"print(\"total_users: \", len(users))\n",
"print(client_data['user_data'].keys())\n",
"print(np.array(client_data['user_data']['f3408_47']['x']).shape)\n",
"print(np.array(client_data['user_data']['f3408_47']['y']).shape)\n",
"print(np.array(client_data['user_data']['f3327_11']['x']).shape)\n",
"print(np.array(client_data['user_data']['f3327_11']['y']).shape)\n",
"print(np.unique(np.array(client_data['user_data']['f3327_11']['y'])))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"file = 'run.py'\n",
"with open(file, 'r') as inf:\n",
" print(inf.readline().strip())\n",
" print(inf.readlines())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def f(l):\n",
" l[2] = 'c'\n",
"\n",
"a = ['a', 'a', 'a']\n",
"print(a)\n",
"f(a)\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"l = ['a', 'b', 'c']\n",
"print(l[:-1])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from localconfig import LocalConfig\n",
"\n",
"def read_ini(file_path):\n",
" config = LocalConfig(file_path)\n",
" for section in config:\n",
" print(\"Section: \", section)\n",
" for key, value in config.items(section):\n",
" print((key, value))\n",
" print(dict(config.items('DATASET')))\n",
" return config\n",
" \n",
"config = read_ini(\"config.ini\")\n",
"for section in config:\n",
" print(section)\n",
"#d = dict(config.sections())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def func(a = 1, b = 2, c = 3):\n",
" print(a + b + c)\n",
"\n",
"l = [3, 5, 7]\n",
"\n",
"func(*l)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from torch import multiprocessing as mp\n",
"\n",
"mp.spawn(fn = func, nprocs = 2, args = [], kwargs = {'a': 4, 'b': 5, 'c': 6})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"l = '[0.4, 0.2, 0.3, 0.1]'\n",
"type(eval(l))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.datasets.Femnist import Femnist\n",
"f1 = Femnist(0, 1, 'leaf/data/femnist/data/train')\n",
"ts = f1.get_trainset(1)\n",
"for data, target in ts:\n",
" print(data)\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.datasets.Femnist import Femnist\n",
"from decentralizepy.graphs.SmallWorld import SmallWorld\n",
"from decentralizepy.mappings.Linear import Linear\n",
"\n",
"f = Femnist(2, 'leaf/data/femnist/data/train', sizes=[0.6, 0.4])\n",
"g = SmallWorld(4, 1, 0.5)\n",
"l = Linear(2, 2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.node.Node import Node\n",
"from torch import multiprocessing as mp\n",
"import logging\n",
"n1 = Node(0, l, g, f, \"./results\", logging.DEBUG)\n",
"n2 = Node(1, l, g, f, \"./results\", logging.DEBUG)\n",
"# mp.spawn(fn = Node, nprocs = 2, args=[l,g,f])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from testing import f"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from torch import multiprocessing as mp\n",
"import torch\n",
"m1 = torch.nn.Linear(1,1)\n",
"o1 = torch.optim.SGD(m1.parameters(), 0.6)\n",
"print(m1)\n",
"\n",
"\n",
"mp.spawn(fn = f, nprocs = 2, args=[m1, o1])\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o1.param_groups"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with torch.no_grad():\n",
" o1.param_groups[0][\"params\"][0].copy_(torch.zeros(1,))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o1.param_groups"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"m1.state_dict()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"loss = getattr(torch.nn.functional, 'nll_loss')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"loss"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Section: GRAPH\n",
"('package', 'decentralizepy.graphs.SmallWorld')\n",
"('graph_class', 'SmallWorld')\n",
"Section: DATASET\n",
"('dataset_package', 'decentralizepy.datasets.Femnist')\n",
"('dataset_class', 'Femnist')\n",
"('model_class', 'CNN')\n",
"('n_procs', 36)\n",
"('train_dir', 'leaf/data/femnist/per_user_data/train')\n",
"('test_dir', 'leaf/data/femnist/data/test')\n",
"('sizes', '')\n",
"Section: OPTIMIZER_PARAMS\n",
"('optimizer_package', 'torch.optim')\n",
"('optimizer_class', 'Adam')\n",
"('lr', 0.01)\n",
"Section: TRAIN_PARAMS\n",
"('training_package', 'decentralizepy.training.Training')\n",
"('training_class', 'Training')\n",
"('epochs_per_round', 1)\n",
"('batch_size', 1024)\n",
"('shuffle', True)\n",
"('loss_package', 'torch.nn')\n",
"('loss_class', 'CrossEntropyLoss')\n",
"Section: COMMUNICATION\n",
"('comm_package', 'decentralizepy.communication.TCP')\n",
"('comm_class', 'TCP')\n",
"('addresses_filepath', 'ip_addr.json')\n",
"Section: SHARING\n",
"('sharing_package', 'decentralizepy.sharing.Sharing')\n",
"('sharing_class', 'Sharing')\n",
"{'dataset_package': 'decentralizepy.datasets.Femnist', 'dataset_class': 'Femnist', 'model_class': 'CNN', 'n_procs': 36, 'train_dir': 'leaf/data/femnist/per_user_data/train', 'test_dir': 'leaf/data/femnist/data/test', 'sizes': ''}\n"
]
}
],
"source": [
"%matplotlib inline\n",
"\n",
"from decentralizepy.node.Node import Node\n",
"from decentralizepy.graphs.SmallWorld import SmallWorld\n",
"from decentralizepy.graphs.Graph import Graph\n",
"from decentralizepy.mappings.Linear import Linear\n",
"from torch import multiprocessing as mp\n",
"import torch\n",
"import logging\n",
"\n",
"from localconfig import LocalConfig\n",
"\n",
"def read_ini(file_path):\n",
" config = LocalConfig(file_path)\n",
" for section in config:\n",
" print(\"Section: \", section)\n",
" for key, value in config.items(section):\n",
" print((key, value))\n",
" print(dict(config.items('DATASET')))\n",
" return config\n",
" \n",
"config = read_ini(\"config.ini\")\n",
"my_config = dict()\n",
"for section in config:\n",
" my_config[section] = dict(config.items(section))\n",
"\n",
"#f = Femnist(2, 'leaf/data/femnist/data/train', sizes=[0.6, 0.4])\n",
"g = Graph()\n",
"g.read_graph_from_file(\"36_nodes.edges\", \"edges\")\n",
"l = Linear(1, 36)\n",
"\n",
"#Node(0, 0, l, g, my_config, 20, \"results\", logging.DEBUG)\n",
"\n",
"mp.spawn(fn = Node, nprocs = g.n_procs, args=[0,l,g,my_config,20,\"results\",logging.INFO])\n",
"\n",
"# mp.spawn(fn = Node, args = [l, g, config, 10, \"results\", logging.DEBUG], nprocs=2)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.mappings.Linear import Linear\n",
"from testing import f\n",
"from torch import multiprocessing as mp\n",
"\n",
"l = Linear(1, 2)\n",
"mp.spawn(fn = f, nprocs = 2, args = [0, 2, \"ip_addr.json\", l])\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.datasets.Femnist import Femnist\n",
"\n",
"f = Femnist()\n",
"\n",
"f.file_per_user('../leaf/data/femnist/data/train','../leaf/data/femnist/per_user_data/train')\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"a = set()\n",
"a.update([2, 3, 4, 5])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{2, 3, 4, 5}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2 3 4 5\n"
]
}
],
"source": [
"print(*a)"
]
},
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.graphs.FullyConnected import FullyConnected\n",
"\n",
"s.write_graph_to_file('96_node_fullyConnected.edges')"
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{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from decentralizepy.graphs.SmallWorld import SmallWorld\n",
"\n",
"s = SmallWorld(96, 2, .5)\n",
"s.write_graph_to_file('96_nodes.edges')"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/home/risharma/miniconda3/envs/decpy/lib/python3.9/site-packages/ipykernel_launcher.py',\n",
" '--ip=127.0.0.1',\n",
" '--stdin=9008',\n",
" '--control=9006',\n",
" '--hb=9005',\n",
" '--Session.signature_scheme=\"hmac-sha256\"',\n",
" '--Session.key=b\"eac5d2f8-c460-45f1-a268-1e4b46a6efd6\"',\n",
" '--shell=9007',\n",
" '--transport=\"tcp\"',\n",
" '--iopub=9009',\n",
" '--f=/tmp/tmp-21212479paJaUBJBN84.json']"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import sys\n",
"sys.argv"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"m1_parameters: {'conv1.weight': tensor([[[[-0.0294, -0.0659, -0.1267, -0.1610, -0.1462],\n",
" [-0.1133, 0.1424, 0.1439, -0.0677, 0.1200],\n",
" [-0.0530, 0.1776, 0.1445, 0.0141, -0.1778],\n",
" [ 0.1847, 0.1211, 0.0345, 0.1131, 0.0740],\n",
" [ 0.1136, -0.0253, -0.1799, 0.1309, -0.0115]]],\n",
" [[[-0.0018, 0.0063, 0.1890, 0.0434, 0.1667],\n",
" [ 0.0428, 0.0402, 0.0275, 0.0432, 0.0524],\n",
" [ 0.1926, 0.0992, -0.0925, -0.1610, -0.1305],\n",
" [-0.1714, 0.0548, -0.1500, 0.1679, -0.0767],\n",
" [ 0.0094, 0.0525, 0.0273, -0.0462, -0.1696]]],\n",
" [[[-0.0033, -0.1317, -0.1695, 0.0221, 0.1301],\n",
" [ 0.0789, 0.0397, -0.1292, 0.0642, 0.0683],\n",
" [ 0.1198, 0.1179, 0.0186, -0.1519, -0.1354],\n",
" [ 0.1598, -0.1400, 0.0738, -0.1385, -0.1195],\n",
" [-0.0458, 0.1540, 0.0317, 0.1788, -0.0782]]],\n",
" [[[ 0.1726, -0.0152, -0.1036, -0.1624, 0.0804],\n",
" [ 0.1492, -0.0097, -0.1417, -0.1234, 0.1393],\n",
" [ 0.1567, -0.0843, 0.1540, -0.0776, -0.1575],\n",
" [-0.1371, -0.1458, 0.0518, 0.0329, 0.0664],\n",
" [ 0.1976, -0.0956, 0.0785, -0.1633, -0.1674]]],\n",
" [[[ 0.1716, -0.1734, -0.0078, 0.1092, -0.1912],\n",
" [ 0.1574, -0.1333, -0.0146, 0.0534, -0.1207],\n",
" [-0.1233, 0.0647, 0.0755, 0.1025, 0.0893],\n",
" [ 0.1158, -0.0836, -0.0749, 0.0244, -0.1928],\n",
" [-0.1903, -0.0820, 0.0529, 0.0907, 0.0951]]],\n",
" [[[-0.1117, -0.1858, -0.0375, -0.0397, 0.0412],\n",
" [ 0.0176, 0.1707, -0.0648, -0.0327, -0.1994],\n",
" [ 0.1754, -0.0413, -0.1533, -0.0537, 0.1160],\n",
" [ 0.1145, 0.0755, -0.0242, 0.0387, 0.1763],\n",
" [-0.0203, -0.1236, 0.0372, -0.0074, 0.0423]]],\n",
" [[[ 0.0021, 0.1159, 0.0160, 0.1778, -0.1911],\n",
" [ 0.0584, -0.0669, 0.1317, -0.1835, 0.0421],\n",
" [-0.1418, -0.1790, 0.1748, -0.0804, 0.0495],\n",
" [ 0.0498, -0.0983, 0.0343, 0.1142, -0.0266],\n",
" [ 0.0275, 0.0369, 0.1941, 0.1219, -0.0856]]],\n",
" [[[ 0.0191, -0.1786, -0.1492, -0.1155, 0.0068],\n",
" [-0.1917, 0.0696, -0.0657, 0.0317, -0.1831],\n",
" [-0.1451, -0.0804, 0.0266, -0.1905, 0.1968],\n",
" [-0.0370, 0.0943, 0.0535, -0.0174, 0.0636],\n",
" [ 0.1038, 0.0251, 0.0469, 0.0042, 0.1237]]],\n",
" [[[ 0.1488, 0.0967, 0.1249, 0.0799, -0.1052],\n",
" [-0.0188, -0.1058, -0.1708, -0.0282, 0.0980],\n",
" [-0.1925, 0.1517, 0.1029, -0.0329, -0.0788],\n",
" [ 0.0181, -0.1959, 0.1086, 0.0699, -0.0163],\n",
" [-0.0231, -0.0422, 0.1669, 0.1058, -0.1054]]],\n",
" [[[-0.1371, 0.0173, 0.0834, -0.1819, -0.1893],\n",
" [-0.1381, 0.1158, 0.0361, -0.1698, 0.1006],\n",
" [ 0.0385, -0.0467, 0.0824, -0.0762, -0.1883],\n",
" [ 0.1954, 0.1819, -0.0178, 0.1994, 0.1103],\n",
" [ 0.1728, -0.1546, 0.1065, -0.0425, 0.1576]]],\n",
" [[[-0.1496, -0.1969, -0.1935, 0.1659, 0.1540],\n",
" [-0.0021, -0.1386, -0.0502, -0.0283, 0.1867],\n",
" [ 0.1308, 0.1979, -0.0033, -0.1406, 0.0059],\n",
" [-0.1429, -0.0778, -0.0568, -0.1306, -0.0380],\n",
" [ 0.0740, -0.1416, -0.1770, 0.0070, -0.0831]]],\n",
" [[[ 0.0831, -0.0220, 0.0272, 0.0323, 0.1351],\n",
" [-0.1093, -0.1390, 0.0110, 0.0742, -0.0337],\n",
" [-0.0964, 0.1865, 0.1744, 0.0147, -0.0739],\n",
" [ 0.1436, -0.0275, 0.0454, 0.1006, -0.1111],\n",
" [ 0.1203, -0.0290, -0.0833, -0.0533, -0.1128]]],\n",
" [[[-0.0833, -0.1054, 0.1966, 0.1635, 0.0234],\n",
" [-0.1707, -0.0597, -0.0804, 0.1331, 0.1496],\n",
" [-0.1735, 0.1877, 0.1007, -0.1540, 0.1272],\n",
" [ 0.0859, 0.0146, -0.0869, 0.1998, 0.1968],\n",
" [ 0.1279, 0.0157, 0.0449, -0.0243, -0.1675]]],\n",
" [[[ 0.1474, 0.0966, -0.1795, -0.1186, -0.1994],\n",
" [ 0.1110, -0.1770, 0.1661, 0.1203, -0.1071],\n",
" [-0.0106, 0.0099, 0.0663, 0.0750, 0.0097],\n",
" [-0.0487, -0.0870, -0.0138, 0.0861, 0.0155],\n",
" [ 0.0640, 0.0427, 0.0353, 0.0669, -0.1381]]],\n",
" [[[ 0.0055, 0.1545, -0.0684, 0.1604, 0.0686],\n",
" [-0.1543, 0.0619, -0.1355, -0.0981, 0.1642],\n",
" [ 0.0907, 0.1712, 0.1466, -0.0799, -0.0670],\n",
" [ 0.0948, -0.1994, 0.0710, -0.0344, -0.1059],\n",
" [ 0.0230, -0.0667, 0.1027, 0.1431, -0.1946]]],\n",
" [[[-0.1192, -0.0009, -0.0426, 0.1015, 0.1718],\n",
" [-0.0381, 0.1195, -0.1853, -0.0561, -0.0592],\n",
" [-0.0719, 0.0546, 0.0530, 0.0038, -0.1063],\n",
" [ 0.1732, 0.1704, 0.1143, -0.1093, -0.0474],\n",
" [ 0.1588, 0.0620, 0.1074, 0.0200, 0.1258]]],\n",
" [[[-0.0276, -0.0863, -0.0745, 0.1831, 0.0149],\n",
" [ 0.0925, 0.1106, -0.1559, 0.0043, 0.1982],\n",
" [ 0.0403, 0.1336, -0.1262, 0.0649, 0.1244],\n",
" [ 0.1716, -0.0994, -0.1754, 0.1991, 0.1502],\n",
" [-0.1226, -0.0286, 0.1742, -0.0364, 0.1818]]],\n",
" [[[ 0.1905, 0.0292, -0.1152, 0.0816, -0.1832],\n",
" [-0.0553, 0.1028, 0.1891, 0.0993, -0.1132],\n",
" [-0.0641, 0.0048, -0.0417, -0.0937, 0.1667],\n",
" [-0.1644, -0.1126, 0.1683, -0.0912, -0.1931],\n",
" [ 0.0812, 0.1060, 0.0252, 0.0874, 0.1943]]],\n",
" [[[-0.0824, -0.1813, -0.0630, 0.0597, 0.0138],\n",
" [ 0.1787, -0.0708, -0.1641, 0.0792, 0.1893],\n",
" [ 0.0698, 0.1759, 0.1484, 0.1875, 0.1213],\n",
" [ 0.1149, 0.0910, 0.1125, -0.0134, 0.1492],\n",
" [ 0.1495, -0.1414, -0.0528, -0.1981, 0.1301]]],\n",
" [[[-0.1728, 0.0973, 0.1402, -0.1365, 0.0223],\n",
" [-0.1623, -0.1194, -0.0047, 0.1541, -0.1720],\n",
" [-0.1631, 0.1378, 0.1817, -0.0472, 0.1947],\n",
" [ 0.1213, -0.1986, -0.1415, 0.0990, -0.1460],\n",
" [-0.0185, 0.1019, 0.1401, 0.1501, -0.0396]]],\n",
" [[[ 0.1756, -0.0398, -0.1515, -0.0882, -0.0355],\n",
" [ 0.0670, 0.0649, 0.1082, 0.1635, 0.0461],\n",
" [ 0.1132, 0.0734, -0.0098, 0.0909, 0.0581],\n",
" [-0.1208, 0.1435, 0.1345, 0.1569, -0.1357],\n",
" [-0.1636, -0.0769, -0.1814, 0.1030, -0.0982]]],\n",
" [[[ 0.1056, 0.1005, -0.1637, 0.0073, -0.1990],\n",
" [-0.1068, 0.0294, -0.1704, 0.0204, -0.0671],\n",
" [ 0.0983, -0.0194, 0.1863, 0.0016, 0.0691],\n",
" [ 0.0071, -0.1114, 0.1376, -0.0950, 0.1963],\n",
" [-0.0081, 0.1638, 0.1705, 0.1929, 0.0170]]],\n",
" [[[-0.0803, -0.1001, 0.0113, 0.0315, -0.0165],\n",
" [-0.0962, 0.0289, 0.0582, 0.0729, 0.1783],\n",
" [-0.0604, 0.1725, 0.1990, -0.1395, -0.0585],\n",
" [ 0.1276, -0.0908, 0.0208, -0.1839, -0.0880],\n",
" [-0.0839, 0.1635, -0.0708, -0.1091, 0.0110]]],\n",
" [[[-0.1190, -0.0079, -0.0216, -0.1186, -0.0047],\n",
" [ 0.0116, 0.1451, -0.0582, -0.0773, 0.1828],\n",
" [-0.0389, -0.0040, -0.1912, -0.1790, -0.1594],\n",
" [-0.1674, -0.0784, -0.0527, -0.1289, -0.1193],\n",
" [-0.1707, -0.1716, 0.1906, 0.1985, -0.0731]]],\n",
" [[[ 0.1145, 0.1584, 0.0135, -0.0490, 0.1506],\n",
" [-0.1641, 0.0264, 0.1881, -0.0479, -0.0281],\n",
" [-0.0313, -0.0920, -0.0546, -0.1347, 0.0836],\n",
" [-0.0193, 0.1860, -0.0454, 0.1385, -0.1352],\n",
" [-0.1561, 0.0526, 0.1160, 0.0300, 0.1154]]],\n",
" [[[-0.1478, -0.1039, -0.1727, 0.0112, -0.0403],\n",
" [-0.0408, 0.1417, -0.0247, -0.0756, -0.1615],\n",
" [ 0.0093, -0.1076, -0.0906, -0.1624, 0.1284],\n",
" [-0.1374, 0.1409, -0.1797, -0.0802, 0.1416],\n",
" [ 0.0282, 0.1258, 0.0230, -0.0541, 0.0536]]],\n",
" [[[-0.0640, 0.0140, -0.1493, -0.0449, -0.0952],\n",
" [ 0.0109, -0.0120, -0.0977, -0.1969, -0.1897],\n",
" [ 0.1005, 0.0844, 0.1638, 0.0776, -0.1811],\n",
" [-0.0127, -0.1358, -0.1198, 0.0929, -0.0811],\n",
" [ 0.1094, 0.1268, 0.0769, -0.0800, 0.0134]]],\n",
" [[[ 0.1320, 0.1890, -0.1937, 0.0947, -0.1642],\n",
" [ 0.0090, -0.0804, -0.1137, -0.0412, -0.1253],\n",
" [-0.1924, 0.1154, 0.0567, -0.1458, -0.0735],\n",
" [-0.0265, 0.0895, -0.1165, -0.0549, 0.1763],\n",
" [-0.1959, -0.0329, -0.0194, 0.0983, -0.0659]]],\n",
" [[[-0.1925, -0.1036, 0.1780, -0.0791, -0.0873],\n",
" [ 0.0100, 0.1510, -0.1453, -0.0745, 0.0458],\n",
" [-0.0419, 0.0820, 0.1765, -0.1156, -0.0218],\n",
" [ 0.0933, 0.1453, -0.1843, -0.1624, 0.0401],\n",
" [ 0.0747, 0.0421, 0.1151, 0.1696, -0.0365]]],\n",
" [[[ 0.1575, 0.1559, -0.1104, -0.1436, -0.1991],\n",
" [-0.0338, -0.1194, -0.1659, 0.0048, -0.1487],\n",
" [ 0.0137, 0.0668, 0.0671, -0.0339, 0.0486],\n",
" [-0.0064, -0.0225, 0.0927, 0.0606, 0.0042],\n",
" [ 0.1252, -0.1965, 0.0352, 0.1180, 0.0896]]],\n",
" [[[ 0.0671, 0.1113, 0.0242, -0.0552, -0.1848],\n",
" [-0.1905, 0.0019, 0.0057, -0.0307, 0.1718],\n",
" [-0.0562, -0.1494, -0.1637, -0.1111, 0.0126],\n",
" [ 0.0556, 0.1048, 0.1284, 0.0417, -0.0556],\n",
" [-0.0655, 0.1431, -0.1373, 0.0311, -0.1628]]],\n",
" [[[ 0.0414, -0.0397, -0.0018, 0.1074, 0.1924],\n",
" [ 0.0205, 0.1236, -0.1880, 0.0947, -0.0946],\n",
" [-0.0543, -0.0087, 0.0633, -0.1134, 0.0912],\n",
" [ 0.0875, 0.0397, -0.1993, 0.1947, -0.1831],\n",
" [ 0.1359, 0.1628, -0.0632, -0.1867, -0.0839]]]]), 'conv1.bias': tensor([ 0.0303, 0.1421, 0.0549, -0.0636, 0.0261, -0.0631, 0.0215, 0.1342,\n",
" -0.0792, -0.1747, 0.0829, 0.1978, -0.1716, -0.1050, -0.0049, 0.1790,\n",
" 0.1964, 0.0633, 0.0980, -0.0159, 0.0837, -0.1232, -0.0526, -0.1208,\n",
" -0.1421, -0.0880, 0.1810, -0.0636, 0.1665, 0.1121, -0.1900, 0.0091]), 'conv2.weight': tensor([[[[-1.0712e-02, -2.8543e-02, 2.5060e-03, 9.5242e-03, 3.1358e-02],\n",
" [-1.4135e-02, 1.3580e-02, 2.1455e-02, 1.2194e-02, 1.4131e-02],\n",
" [ 3.0316e-02, -1.1152e-02, -3.2848e-02, -2.2067e-02, -2.6107e-02],\n",
" [ 8.4410e-03, 3.9427e-03, 1.2867e-02, -1.2513e-03, -2.1535e-02],\n",
" [-3.9282e-03, 8.2564e-03, 1.4120e-02, 2.8508e-02, 3.9923e-03]],\n",
" [[-1.4297e-03, 4.7124e-03, -3.4464e-02, 1.4309e-02, -3.4432e-02],\n",
" [ 2.6338e-02, -4.2020e-03, 5.5271e-03, 3.1447e-02, 3.5195e-02],\n",
" [-9.7311e-03, 3.0671e-02, 3.3432e-02, -1.6397e-02, 9.7262e-03],\n",
" [-3.1700e-02, -2.4078e-02, -5.8298e-03, -7.3698e-03, -3.1840e-02],\n",
" [ 1.7487e-02, -2.2445e-02, -4.2725e-03, 1.6929e-02, -1.6501e-02]],\n",
" [[ 2.6720e-02, 1.5540e-02, 2.3545e-02, -3.1226e-03, 4.3139e-03],\n",
" [ 2.4492e-02, -1.6616e-02, -2.1790e-02, 3.0564e-02, -1.6427e-02],\n",
" [-1.7733e-02, -2.4438e-02, -1.9700e-02, 2.1084e-02, 2.9459e-02],\n",
" [-3.0856e-02, -3.5242e-02, 2.0413e-02, 4.1613e-03, 8.3422e-03],\n",
" [-1.5534e-02, -1.4875e-02, 1.6494e-02, -3.2325e-02, -1.1099e-04]],\n",
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" [[ 1.2833e-02, -2.0625e-02, -2.0700e-02, -1.3513e-02, 1.5524e-02],\n",
" [ 7.5736e-03, 3.2956e-02, 2.6385e-02, -2.1103e-02, -2.3895e-02],\n",
" [-1.9102e-02, 1.1805e-02, 1.1777e-02, -3.0465e-02, 2.6048e-03],\n",
" [ 6.3230e-04, 1.0886e-02, -1.5035e-02, -1.5262e-02, -2.5167e-02],\n",
" [-2.1168e-03, 2.6181e-02, 1.4023e-02, 2.2960e-02, 3.0476e-02]],\n",
"\n",
" [[-2.1003e-02, -2.1934e-02, 1.6896e-02, -7.1724e-03, -2.8637e-02],\n",
" [ 2.8492e-03, 2.2367e-02, -3.2999e-02, -2.8547e-02, 2.5825e-02],\n",
" [-2.4395e-02, -1.2782e-02, 1.6746e-02, -1.8496e-02, -2.7374e-02],\n",
" [-2.0825e-03, 1.3699e-02, 2.0900e-02, -1.0655e-02, -2.0718e-02],\n",
" [ 2.3637e-03, -1.2933e-02, 1.3596e-03, -1.4176e-02, -2.7697e-02]],\n",
"\n",
" [[ 1.6140e-02, -9.6101e-03, 1.6965e-02, -2.4911e-02, 1.7669e-02],\n",
" [ 6.7341e-03, 1.9680e-02, -2.4388e-02, 2.5657e-02, -3.5043e-02],\n",
" [-1.7948e-02, -1.9798e-02, 3.2972e-02, -1.0105e-02, 3.2288e-02],\n",
" [ 6.9848e-03, -2.0427e-02, 3.0102e-02, 2.0419e-02, 1.1636e-02],\n",
" [ 1.4831e-02, 2.5886e-02, 8.4296e-03, 3.6944e-03, 1.2589e-02]]],\n",
"\n",
"\n",
" [[[-1.5369e-03, 6.7277e-03, -2.8153e-03, -5.2977e-03, 7.7895e-04],\n",
" [ 2.6822e-02, -2.7268e-03, 8.9981e-03, -1.0177e-02, 3.8218e-03],\n",
" [-1.2254e-02, 7.7431e-03, -3.3513e-02, -3.2448e-02, -8.5315e-03],\n",
" [-1.4555e-02, 3.1427e-02, 2.7359e-02, -4.7352e-04, -2.2193e-02],\n",
" [ 5.6234e-03, -2.1741e-03, -1.8802e-02, -1.0976e-02, 2.7378e-02]],\n",
"\n",
" [[ 7.5464e-03, -2.4656e-02, -3.2512e-02, -3.2849e-02, -1.5935e-02],\n",
" [-1.8062e-02, -8.6980e-03, -1.6742e-02, -2.0394e-03, -7.8879e-03],\n",
" [-1.1177e-02, 8.7528e-03, -3.4705e-02, -6.7506e-03, -8.8169e-03],\n",
" [-1.8519e-02, 7.6015e-03, 2.9804e-02, 3.7601e-03, -3.3281e-02],\n",
" [ 7.4764e-03, 3.5919e-03, 1.6526e-02, -8.7982e-03, -9.3495e-03]],\n",
"\n",
" [[-8.7813e-03, 2.0255e-02, 1.6511e-02, 9.1172e-04, -3.7212e-03],\n",
" [ 3.2860e-02, -1.9111e-02, 1.5490e-03, -5.6712e-03, -1.6889e-02],\n",
" [ 7.5624e-03, -6.9371e-03, 3.1618e-02, -6.7844e-03, -3.1054e-02],\n",
" [ 7.0345e-03, -7.7054e-03, 3.5078e-02, 6.3236e-03, 2.3317e-02],\n",
" [-2.2862e-02, -9.7549e-03, 2.7260e-02, -3.3476e-02, 1.8389e-02]],\n",
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" [[ 1.3349e-02, 1.8076e-02, -2.1153e-03, 6.5682e-04, 2.4534e-02],\n",
" [ 5.3663e-03, 2.8427e-02, 7.8194e-03, -1.4124e-02, 3.0364e-02],\n",
" [ 3.1933e-02, -2.4390e-02, -3.3345e-02, 1.1310e-02, -2.0207e-02],\n",
" [-2.5572e-02, 2.6358e-02, 1.7217e-02, -2.9017e-03, 7.4605e-03],\n",
" [-3.0439e-02, 1.5487e-02, -5.8104e-03, -3.2419e-02, 6.8073e-03]],\n",
"\n",
" [[ 1.1699e-02, 2.2438e-02, -1.2508e-02, -1.1145e-02, 1.1388e-02],\n",
" [-1.5566e-02, 1.7208e-02, -1.0435e-02, 9.3911e-03, 2.2554e-03],\n",
" [-7.6326e-03, -1.4475e-02, -7.9627e-04, 3.4089e-02, -2.1129e-02],\n",
" [ 8.4534e-05, -1.6221e-02, -4.5830e-03, -2.2959e-02, -2.0502e-02],\n",
" [-2.4321e-02, 1.4042e-02, 3.4342e-03, 2.5126e-02, 3.1417e-02]],\n",
"\n",
" [[-7.1903e-03, -1.5285e-02, 3.4991e-02, -1.1870e-02, 3.3646e-02],\n",
" [ 2.5525e-02, 2.7944e-02, 3.1858e-02, 2.1613e-02, 2.5457e-02],\n",
" [-1.5631e-02, -1.9511e-02, 1.4821e-02, 6.1392e-03, -2.2879e-02],\n",
" [-2.0709e-03, 2.4683e-02, 1.5450e-02, 1.7543e-02, 3.0431e-02],\n",
" [ 1.2472e-02, 3.3912e-02, -3.3891e-02, -2.9483e-02, 2.1657e-02]]],\n",
"\n",
"\n",
" [[[ 1.2854e-03, 1.4983e-02, 2.6787e-03, -3.7954e-03, -3.8526e-04],\n",
" [-9.0427e-03, -2.3686e-02, -2.5989e-02, 2.9986e-02, -3.4829e-02],\n",
" [ 1.4774e-02, -2.5571e-03, 1.0485e-02, 5.6443e-03, -4.8553e-03],\n",
" [ 3.6432e-03, 1.7875e-02, 1.5348e-03, 1.8016e-02, 8.2804e-03],\n",
" [ 1.9742e-02, -1.5757e-02, -2.3739e-02, 1.6706e-02, -5.5210e-03]],\n",
"\n",
" [[-1.4544e-02, 2.8706e-02, 3.0579e-02, -3.2698e-02, 9.7423e-03],\n",
" [-2.7827e-02, -3.6608e-03, 6.3911e-03, 1.1768e-03, -2.5861e-02],\n",
" [-3.3910e-02, 3.2610e-02, -1.0725e-02, -2.5239e-02, 1.3869e-02],\n",
" [-2.4907e-02, 2.2308e-02, 3.4435e-02, -1.1574e-02, -1.5687e-02],\n",
" [-3.3932e-02, -1.4322e-02, -9.2028e-03, 1.6489e-02, 2.7247e-02]],\n",
"\n",
" [[ 1.9997e-02, 2.0339e-02, -2.4083e-02, 2.1822e-02, 3.5218e-02],\n",
" [ 4.6625e-03, -4.3648e-03, 1.3782e-02, -9.2227e-03, -1.9670e-02],\n",
" [-2.3750e-02, -1.6718e-02, -8.2103e-03, -3.0051e-02, 2.0756e-02],\n",
" [ 9.1907e-03, -2.6468e-02, 2.6651e-02, 2.2466e-02, 2.2550e-02],\n",
" [-2.5045e-02, -3.3377e-02, 2.4491e-02, -2.2864e-02, -6.7297e-03]],\n",
" [[ 2.5862e-02, -1.0371e-03, -1.9383e-02, 1.7942e-03, 1.9761e-02],\n",
" [-2.8891e-02, 6.3965e-03, -2.6830e-02, 1.3699e-02, 1.0821e-02],\n",
" [ 1.1547e-02, -1.9258e-02, 1.4291e-02, -7.1339e-03, -2.1092e-02],\n",
" [ 1.1358e-02, 5.8365e-03, -2.8330e-02, -1.6591e-02, 1.4738e-02],\n",
" [-3.0109e-03, -3.1205e-02, 1.0713e-02, -2.7946e-02, 5.6631e-03]],\n",
" [[-3.4269e-03, 5.9247e-03, -2.2628e-02, 1.5790e-02, 1.6851e-02],\n",
" [-1.3199e-02, 1.1820e-02, -2.9882e-02, 1.5963e-02, 1.4160e-02],\n",
" [-1.8430e-02, 1.7088e-02, 1.0258e-02, -3.1797e-02, -1.5712e-02],\n",
" [ 5.8283e-03, -3.2654e-02, -1.2848e-02, 2.9440e-02, 1.5735e-02],\n",
" [ 1.5160e-02, -1.1311e-03, 1.5635e-02, -3.1450e-03, -2.3950e-02]],\n",
" [[ 1.1689e-02, -5.3986e-03, -1.7156e-02, 1.5808e-02, 1.1226e-02],\n",
" [ 6.9512e-03, 1.9596e-02, -9.9320e-03, -2.5242e-02, 2.5922e-02],\n",
" [-1.1149e-03, -1.8153e-02, -6.7535e-03, -4.0143e-03, 1.5343e-02],\n",
" [ 2.1245e-02, 2.0272e-02, -1.5746e-02, 4.4477e-03, 1.3009e-02],\n",
" [-2.7403e-02, -1.7578e-03, -5.7534e-03, -4.3350e-03, 3.2173e-03]]],\n",
"\n",
"\n",
" ...,\n",
"\n",
"\n",
" [[[ 2.4695e-02, 2.4198e-02, 5.4242e-03, 1.7946e-03, 1.5525e-03],\n",
" [-6.9484e-03, -2.8010e-02, 6.0022e-03, -3.4202e-02, -9.2220e-03],\n",
" [-1.8714e-02, -3.3158e-02, 1.2717e-02, 2.1173e-02, 2.3357e-02],\n",
" [ 2.1218e-02, 1.3226e-02, 1.5477e-02, 1.4576e-02, -1.6706e-02],\n",
" [ 5.8316e-03, 1.7646e-02, 2.6505e-02, 1.6435e-02, -9.7523e-03]],\n",
" [[-7.5557e-03, 3.0235e-02, 4.0494e-03, -6.5395e-03, -2.7983e-02],\n",
" [-1.6704e-02, -1.4708e-02, -1.2753e-02, 2.0003e-02, 2.0317e-02],\n",
" [-1.4792e-02, -2.5440e-03, 8.3960e-03, 3.1746e-02, -4.2791e-03],\n",
" [-2.6947e-02, 2.8178e-02, -8.7998e-03, -1.1918e-03, 1.9409e-02],\n",
" [ 2.7548e-02, 2.9289e-02, -1.4868e-02, -2.4845e-02, 2.1959e-02]],\n",
" [[ 2.7115e-03, 2.1398e-02, -2.7235e-02, 2.4657e-02, 3.2983e-02],\n",
" [-2.9811e-02, 2.8511e-02, 2.6691e-02, 3.0088e-02, 5.6536e-03],\n",
" [ 1.2006e-02, 9.3720e-03, -8.6544e-04, -1.8001e-02, -4.6723e-04],\n",
" [ 1.5956e-02, 1.0558e-02, -2.6408e-03, -1.8055e-02, -1.8820e-02],\n",
" [ 2.0884e-02, -6.9533e-03, -2.7761e-02, -2.1180e-02, -1.0313e-02]],\n",
938
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" [[-2.5222e-02, -2.6723e-02, -2.5127e-02, -8.3920e-03, 1.2354e-02],\n",
" [ 2.4635e-02, -2.1187e-02, 3.2576e-02, 5.1753e-03, -1.5645e-02],\n",
" [-2.7097e-02, -1.3811e-02, -2.8127e-02, -7.5398e-03, -2.5397e-02],\n",
" [-3.2788e-02, 9.4662e-03, -2.5773e-02, -5.5557e-03, -2.1646e-02],\n",
" [-3.9811e-03, -2.9400e-02, -2.9801e-02, 3.4086e-03, -2.5995e-02]],\n",
"\n",
" [[-1.7667e-02, -2.9269e-02, 3.3983e-02, 1.7904e-03, -1.1844e-02],\n",
" [-3.1558e-03, 2.8698e-02, -2.4786e-02, 2.8517e-02, -2.1105e-02],\n",
" [-1.3482e-02, -2.3590e-02, 1.5106e-02, -2.6257e-02, -3.1513e-02],\n",
" [ 1.5126e-02, 9.0866e-03, -3.5108e-03, -3.1232e-02, 1.0039e-02],\n",
" [ 1.0646e-02, 2.0490e-02, -1.6026e-02, 9.4491e-03, 1.8696e-03]],\n",
"\n",
" [[ 9.5597e-03, -1.0937e-03, 3.1415e-03, -2.9728e-02, 2.4290e-02],\n",
" [ 2.1983e-02, -4.4185e-03, -4.3551e-03, -2.3103e-03, 2.8911e-02],\n",
" [-2.3258e-02, -2.7318e-02, 2.5071e-02, -2.8034e-02, -9.6178e-03],\n",
" [ 1.1631e-02, -6.4006e-03, 3.1090e-02, -2.6229e-02, -3.1959e-02],\n",
" [-1.8579e-03, 1.1335e-02, -1.9144e-02, 2.1692e-02, 7.2188e-03]]],\n",
"\n",
"\n",
" [[[-5.6811e-03, -1.0477e-02, 1.1886e-02, 7.3932e-03, 1.6800e-02],\n",
" [ 2.9957e-02, -4.6041e-03, 1.7368e-02, 2.9004e-02, -1.8263e-02],\n",
" [-2.6259e-02, 1.8272e-02, -8.9695e-03, 2.3765e-02, -3.3679e-02],\n",
" [-1.0965e-02, -7.6722e-03, 2.3450e-02, -1.0505e-02, 5.3181e-03],\n",
" [-5.6810e-03, -2.4764e-02, 3.1046e-02, -2.9747e-03, -2.8656e-02]],\n",
"\n",
" [[ 2.0621e-02, 3.0689e-02, 9.9618e-03, -1.2074e-02, -3.4941e-02],\n",
" [ 2.5171e-02, 2.5641e-02, 2.3229e-02, -2.1664e-02, -1.0035e-02],\n",
" [-2.7126e-02, 1.5039e-03, -1.8666e-02, -1.3896e-03, -2.8527e-02],\n",
" [-3.8435e-03, 1.9811e-02, 2.6598e-02, 3.9880e-03, -1.2667e-02],\n",
" [-2.9899e-02, -1.0524e-04, -6.9346e-03, -9.0742e-03, -9.5847e-03]],\n",
"\n",
" [[ 3.4221e-02, 1.8155e-02, -2.0950e-02, -3.0531e-02, -1.6531e-02],\n",
" [-2.6935e-02, -2.9924e-02, -1.2559e-02, -1.1806e-02, -3.4378e-02],\n",
" [-3.1124e-03, 6.3495e-03, -2.1526e-02, -2.1942e-02, 4.1308e-03],\n",
" [-4.0192e-03, -7.1271e-03, 3.2742e-02, 9.6951e-03, -8.8074e-03],\n",
" [ 5.0674e-03, -3.0229e-02, 1.2071e-02, -1.5985e-02, -1.9603e-02]],\n",
" [[-2.6260e-02, -1.7585e-02, -2.1982e-02, -2.3320e-02, -4.1119e-03],\n",
" [ 1.3096e-02, -1.7109e-02, -1.3888e-02, -2.8812e-05, 2.6391e-02],\n",
" [-1.3052e-02, -1.1130e-02, -2.9985e-02, 1.2317e-02, -3.1856e-02],\n",
" [-8.2432e-03, 2.8641e-02, 2.4846e-02, 5.5159e-03, 1.9084e-02],\n",
" [-3.4092e-02, -2.1065e-02, 2.2432e-02, -1.6194e-02, 2.2492e-02]],\n",
"\n",
" [[ 3.3804e-02, 1.4972e-02, 2.2994e-03, 3.1839e-02, -1.3227e-02],\n",
" [-3.3975e-02, -3.4533e-02, -1.6026e-02, 2.2788e-03, -1.4643e-03],\n",
" [ 3.2438e-02, -2.8320e-02, -1.8481e-02, 5.8380e-03, -5.3999e-03],\n",
" [ 9.1915e-03, 3.6022e-03, 1.1685e-04, -2.4490e-02, 1.3981e-02],\n",
" [ 5.1616e-03, -6.7223e-03, 2.9258e-02, 3.0399e-02, -1.0489e-02]],\n",
"\n",
" [[-2.0869e-02, -2.7418e-02, 9.2013e-03, 1.0312e-03, -1.3312e-02],\n",
" [ 7.1380e-05, 1.8098e-02, 4.8561e-03, 2.6030e-02, 4.5902e-03],\n",
" [-3.8396e-06, -9.0726e-03, -3.4657e-02, -3.5020e-02, 1.7769e-02],\n",
" [ 4.7196e-03, -3.0351e-04, 6.6702e-03, -1.5387e-02, -1.5521e-02],\n",
" [ 2.0964e-03, 1.5412e-02, 2.2774e-02, -4.0799e-03, 2.0905e-02]]],\n",
"\n",
"\n",
" [[[ 1.6501e-02, -2.7081e-02, 9.0558e-03, 2.5332e-03, 1.2791e-02],\n",
" [-7.0474e-03, 1.6052e-02, 2.9610e-02, -4.8062e-03, 2.2890e-02],\n",
" [-2.1236e-02, -8.2819e-03, -3.3545e-02, 3.3778e-02, 2.5133e-02],\n",
" [ 3.3057e-02, -1.5296e-02, 1.7353e-02, -4.8650e-03, 3.4039e-02],\n",
" [ 2.9383e-02, 2.2072e-02, -1.3218e-02, 2.5207e-02, -3.1896e-02]],\n",