Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "703dbf9e-062f-4606-ab39-f9ca450eb2b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import breaching\n",
    "import torch\n",
    "import numpy as np\n",
    "import torchvision.datasets as datasets\n",
    "from torchvision import transforms as T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f79bfb2d-797c-446a-8e84-a2dadd012a83",
   "metadata": {},
   "outputs": [],
   "source": [
    "transform = T.Compose([T.Resize(256), T.CenterCrop(224), T.ToTensor()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f6a0ec4e-00fc-47a2-835f-81844f1c176c",
   "metadata": {},
   "outputs": [],
   "source": [
    "path=cfg.case.data.path\n",
    "_default_t = T.ToTensor()\n",
    "dataset = datasets.ImageFolder(root=path,\n",
    "                              transform=T.Compose([_default_t,\n",
    "                                                                         T.Resize((224, 224))]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0bb6618a-4d12-497c-9864-c5432eabfdd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs = [item[0] for item in dataset]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eaa0f762-02ce-419b-ae8d-4b6866f91d08",
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs = torch.stack(imgs, dim=0).numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5c3bfee2-d792-428e-aba1-b2b8a6f784dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.46312353 0.5572165 0.57370394\n"
     ]
    }
   ],
   "source": [
    "mean_r = imgs[:,0,:,:].mean()\n",
    "mean_g = imgs[:,1,:,:].mean()\n",
    "mean_b = imgs[:,2,:,:].mean()\n",
    "print(mean_r,mean_g,mean_b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0a3be6ef-9438-4c69-9b7c-1a9c2c8c2ed1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.31531358 0.28174448 0.27112168\n"
     ]
    }
   ],
   "source": [
    "std_r = imgs[:,0,:,:].std()\n",
    "std_g = imgs[:,1,:,:].std()\n",
    "std_b = imgs[:,2,:,:].std()\n",
    "print(std_r,std_g,std_b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "058b3160-93ad-4445-a24a-f68e849240fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Investigating use case single_imagenet with server type honest_but_curious.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\ncustom case yaml: config\\\\case\\t_custom.yaml\\ncustom data yaml: config\\\\case\\\\data\\\\Custom.yaml\\n'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfg = breaching.get_config()\n",
    "\"\"\"\n",
    "custom case yaml: config\\case\\11_custom.yaml\n",
    "custom data yaml: config\\case\\data\\Custom.yaml\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9f0e4660-b12f-4330-816f-c501731f092f",
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device(f'cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
    "torch.backends.cudnn.benchmark = cfg.case.impl.benchmark\n",
    "setup = dict(device=device, dtype=getattr(torch, cfg.case.impl.dtype))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c9858532-8b82-43e5-8564-edbdcd1d0414",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VisionContainer(\n",
      "  (model): 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): BasicBlock(\n",
      "        (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "      )\n",
      "      (1): BasicBlock(\n",
      "        (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "      )\n",
      "    )\n",
      "    (layer2): Sequential(\n",
      "      (0): BasicBlock(\n",
      "        (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "        (downsample): Sequential(\n",
      "          (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
      "          (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        )\n",
      "      )\n",
      "      (1): BasicBlock(\n",
      "        (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "      )\n",
      "    )\n",
      "    (layer3): Sequential(\n",
      "      (0): BasicBlock(\n",
      "        (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "        (downsample): Sequential(\n",
      "          (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
      "          (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        )\n",
      "      )\n",
      "      (1): BasicBlock(\n",
      "        (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "      )\n",
      "    )\n",
      "    (layer4): Sequential(\n",
      "      (0): BasicBlock(\n",
      "        (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "        (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): BasicBlock(\n",
      "        (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
      "        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "        (relu): ReLU(inplace=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",
      "      )\n",
      "    )\n",
      "    (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
      "    (fc): Linear(in_features=512, out_features=397, bias=True)\n",
      "  )\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "print(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2499505f-89b3-4ad5-ac10-7992666e3a3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model architecture ResNet18 loaded with 11,380,173 parameters and 9,620 buffers.\n",
      "Overall this is a data ratio of      76:1 for target shape [1, 3, 224, 224] given that num_queries=1.\n",
      "User (of type UserSingleStep) with settings:\n",
      "    Number of data points: 1\n",
      "\n",
      "    Threat model:\n",
      "    User provides labels: False\n",
      "    User provides buffers: False\n",
      "    User provides number of data points: True\n",
      "\n",
      "    Data:\n",
      "    Dataset: ImageNetAnimals\n",
      "    user: 0\n",
      "    \n",
      "        \n",
      "Server (of type HonestServer) with settings:\n",
      "    Threat model: Honest-but-curious\n",
      "    Number of planned queries: 1\n",
      "    Has external/public data: False\n",
      "\n",
      "    Model:\n",
      "        model specification: ResNet18\n",
      "        model state: default\n",
      "        public buffers: True\n",
      "\n",
      "    Secrets: {}\n",
      "    \n",
      "Attacker (of type OptimizationBasedAttacker) with settings:\n",
      "    Hyperparameter Template: invertinggradients\n",
      "\n",
      "    Objective: Cosine Similarity with scale=1.0 and task reg=0.0\n",
      "    Regularizers: Total Variation, scale=0.2. p=1 q=1. \n",
      "    Augmentations: \n",
      "\n",
      "    Optimization Setup:\n",
      "        optimizer: adam\n",
      "        signed: hard\n",
      "        step_size: 0.1\n",
      "        boxed: True\n",
      "        max_iterations: 24000\n",
      "        step_size_decay: step-lr\n",
      "        langevin_noise: 0.0\n",
      "        warmup: 0\n",
      "        grad_clip: None\n",
      "        callback: 1000\n",
      "        \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\nFails for custom datasets\\nTODO: write own dataloader for custom datasets in https://github.com/JonasGeiping/breaching/blob/main/breaching/cases/data/datasets_vision.py\\nTODO: Find out why number of clients = 50 makes it work for imagenet\\nTODO: Investigate logic on datasets_vision.py:131 regarding user_idx indexing\\n'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user, server, model, loss_fn = breaching.cases.construct_case(cfg.case, setup)\n",
    "attacker = breaching.attacks.prepare_attack(server.model, server.loss, cfg.attack, setup)\n",
    "breaching.utils.overview(server, user, attacker)\n",
    "\"\"\"\n",
    "Fails for custom datasets\n",
    "TODO: write own dataloader for custom datasets in https://github.com/JonasGeiping/breaching/blob/main/breaching/cases/data/datasets_vision.py\n",
    "TODO: Find out why number of clients = 50 makes it work for imagenet\n",
    "TODO: Investigate logic on datasets_vision.py:131 regarding user_idx indexing\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "011a8b34-ed17-4cf3-ae30-4e9f7ff4faf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "server_payload = server.distribute_payload()\n",
    "shared_data, true_user_data = user.compute_local_updates(server_payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2e6d36f9-6446-4846-9ff0-d7b6b75b7073",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'gradients': (tensor([[[[ 9.9444e-02,  9.8612e-02,  9.7851e-02],\n",
       "            [ 1.1068e-01,  1.0525e-01,  1.0538e-01],\n",
       "            [ 1.2485e-01,  1.2153e-01,  1.1808e-01]],\n",
       "  \n",
       "           [[ 4.5867e-02,  4.5814e-02,  4.4796e-02],\n",
       "            [ 5.9182e-02,  5.3399e-02,  5.3424e-02],\n",
       "            [ 7.3912e-02,  7.1545e-02,  6.8741e-02]],\n",
       "  \n",
       "           [[-1.4359e-02, -1.6535e-02, -1.5205e-02],\n",
       "            [-6.1406e-03, -1.1563e-02, -1.1082e-02],\n",
       "            [ 4.7057e-03,  1.6518e-03,  2.3927e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.5811e-02, -1.6753e-02, -2.0770e-02],\n",
       "            [-5.8054e-03, -1.0974e-02, -1.2359e-02],\n",
       "            [ 2.0144e-03,  2.7367e-03,  1.7512e-03]],\n",
       "  \n",
       "           [[ 3.9276e-02,  3.7609e-02,  3.4467e-02],\n",
       "            [ 5.1981e-02,  4.6216e-02,  4.5680e-02],\n",
       "            [ 6.0325e-02,  6.1208e-02,  6.1788e-02]],\n",
       "  \n",
       "           [[ 7.5827e-02,  7.6259e-02,  7.2716e-02],\n",
       "            [ 8.6799e-02,  8.3255e-02,  8.1646e-02],\n",
       "            [ 9.0705e-02,  9.2233e-02,  9.2680e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-4.9346e-03, -3.3730e-03, -8.7345e-03],\n",
       "            [-3.4528e-03, -4.8672e-03, -8.5609e-03],\n",
       "            [ 5.4960e-03,  2.3303e-03, -1.3577e-03]],\n",
       "  \n",
       "           [[-1.2147e-02, -1.1397e-02, -1.7551e-02],\n",
       "            [-1.1426e-02, -1.3206e-02, -1.6940e-02],\n",
       "            [-1.8025e-03, -5.3460e-03, -8.5443e-03]],\n",
       "  \n",
       "           [[-1.4256e-02, -1.3704e-02, -1.9043e-02],\n",
       "            [-1.3847e-02, -1.4989e-02, -1.8453e-02],\n",
       "            [-5.2098e-03, -7.8228e-03, -1.1013e-02]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 1.2072e-01,  1.2147e-01,  1.2330e-01],\n",
       "            [ 1.1758e-01,  1.1614e-01,  1.1253e-01],\n",
       "            [ 1.2245e-01,  1.2417e-01,  1.1832e-01]],\n",
       "  \n",
       "           [[ 7.8197e-02,  7.8379e-02,  8.0181e-02],\n",
       "            [ 7.7194e-02,  7.4481e-02,  6.9566e-02],\n",
       "            [ 8.3851e-02,  8.4277e-02,  7.8096e-02]],\n",
       "  \n",
       "           [[ 2.1305e-02,  2.1223e-02,  2.1662e-02],\n",
       "            [ 2.1572e-02,  2.0017e-02,  1.5429e-02],\n",
       "            [ 2.5887e-02,  2.7135e-02,  2.1028e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.3460e-01,  3.3238e-01,  3.2725e-01],\n",
       "            [ 3.4001e-01,  3.4041e-01,  3.3220e-01],\n",
       "            [ 3.4032e-01,  3.4067e-01,  3.3494e-01]],\n",
       "  \n",
       "           [[ 2.1721e-01,  2.1450e-01,  2.0894e-01],\n",
       "            [ 2.2364e-01,  2.2462e-01,  2.1480e-01],\n",
       "            [ 2.2306e-01,  2.2353e-01,  2.1597e-01]],\n",
       "  \n",
       "           [[ 6.1029e-02,  5.8017e-02,  5.3270e-02],\n",
       "            [ 6.4694e-02,  6.4362e-02,  5.5327e-02],\n",
       "            [ 6.1661e-02,  6.0848e-02,  5.4935e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.6461e-03, -9.4179e-03, -8.9710e-03],\n",
       "            [-7.2668e-03, -7.8769e-03, -7.1356e-03],\n",
       "            [-3.9776e-03, -4.5421e-03, -3.9146e-03]],\n",
       "  \n",
       "           [[-8.0734e-03, -8.0650e-03, -7.0900e-03],\n",
       "            [-5.8635e-03, -6.0469e-03, -5.0775e-03],\n",
       "            [-2.0687e-03, -2.1973e-03, -1.7678e-03]],\n",
       "  \n",
       "           [[-5.9071e-03, -5.6140e-03, -4.6101e-03],\n",
       "            [-3.3737e-03, -3.3667e-03, -2.6745e-03],\n",
       "            [ 1.0256e-04,  5.1807e-04,  8.6753e-04]]]], device='cuda:0'),\n",
       "  tensor([ 3.1676e-02, -1.5712e-02,  1.3054e-03,  3.2024e-02,  2.4838e-02,\n",
       "           3.7182e-02,  1.2704e-02,  1.6727e-02, -6.0758e-03,  1.6188e-02,\n",
       "          -2.8874e-03, -1.4874e-02, -2.2096e-03,  5.7006e-02,  2.8559e-02,\n",
       "           1.1503e-02,  1.8178e-01,  4.3792e-03,  3.1730e-03,  4.0521e-03,\n",
       "           2.8096e-02,  1.7803e-02, -4.7808e-03, -2.1236e-03,  4.0438e-02,\n",
       "           4.3021e-03,  2.7461e-02, -2.7760e-02, -4.0379e-03,  2.6719e-03,\n",
       "           1.5303e-02, -1.3821e-02,  2.4308e-02,  2.7537e-02, -9.1004e-04,\n",
       "           8.7048e-05, -9.3713e-03,  3.1446e-02,  2.8632e-03,  1.1872e-02,\n",
       "           1.7908e-01, -9.8294e-04,  5.9984e-04,  1.9839e-03,  5.6910e-02,\n",
       "           2.6601e-02,  6.4290e-02,  2.1561e-02,  2.6726e-02, -2.3293e-03,\n",
       "          -1.2701e-02,  2.3256e-03,  1.8360e-01,  2.7373e-02,  2.4203e-02,\n",
       "          -3.4721e-03, -1.3946e-02,  2.4999e-02, -4.3118e-03, -2.3987e-02,\n",
       "          -1.3757e-03,  9.8408e-03,  9.5929e-02,  7.1464e-05], device='cuda:0'),\n",
       "  tensor([ 0.1049, -0.1204,  0.0173,  0.1428,  0.1215,  0.0465,  0.0240,  0.0466,\n",
       "          -0.0414,  0.0085, -0.0351, -0.0698, -0.0280,  0.2058,  0.1372,  0.0638,\n",
       "           0.1656,  0.0220,  0.0504,  0.0339,  0.1583,  0.1367, -0.0030,  0.0084,\n",
       "           0.1330,  0.0195,  0.1316, -0.0604, -0.0665,  0.0217,  0.0927, -0.0909,\n",
       "           0.0642,  0.1108,  0.0122,  0.0033, -0.0604,  0.2154,  0.0255,  0.1373,\n",
       "           0.2681, -0.0233, -0.0019,  0.0373,  0.1414,  0.1005,  0.2385,  0.0697,\n",
       "           0.0492, -0.0226, -0.0713,  0.0419,  0.3726,  0.1225,  0.0822, -0.0751,\n",
       "          -0.2105,  0.0803, -0.0589, -0.1277,  0.0089,  0.0668,  0.2571, -0.0042],\n",
       "         device='cuda:0'),\n",
       "  tensor([[[[ 1.3498e-02,  1.4232e-02,  1.4658e-02],\n",
       "            [ 1.2831e-02,  1.3025e-02,  1.2939e-02],\n",
       "            [ 1.1639e-02,  1.1716e-02,  1.1133e-02]],\n",
       "  \n",
       "           [[ 1.5784e-03,  5.0614e-05, -2.2226e-04],\n",
       "            [ 3.3887e-03,  2.4746e-03,  1.2163e-03],\n",
       "            [ 3.9583e-03,  4.3820e-03,  3.3408e-03]],\n",
       "  \n",
       "           [[ 9.7911e-05, -6.2808e-05,  1.3830e-04],\n",
       "            [ 7.5327e-04,  6.0188e-04,  3.8566e-04],\n",
       "            [ 1.0758e-03,  1.2577e-03,  7.2063e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 5.3529e-03,  5.3940e-03,  5.7864e-03],\n",
       "            [ 5.4036e-03,  5.9964e-03,  5.9695e-03],\n",
       "            [ 5.7512e-03,  5.4837e-03,  6.1199e-03]],\n",
       "  \n",
       "           [[ 2.1566e-02,  2.1996e-02,  2.2289e-02],\n",
       "            [ 1.9569e-02,  2.0554e-02,  2.0503e-02],\n",
       "            [ 1.9501e-02,  1.8532e-02,  1.9163e-02]],\n",
       "  \n",
       "           [[ 4.3599e-04,  3.8566e-04,  3.4123e-04],\n",
       "            [ 2.6277e-04,  2.8070e-04,  2.4375e-04],\n",
       "            [-5.3732e-05, -3.7641e-05, -2.0988e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.4333e-02,  1.4633e-02,  1.5374e-02],\n",
       "            [ 1.9200e-02,  1.9579e-02,  1.9479e-02],\n",
       "            [ 1.6279e-02,  1.6590e-02,  1.5870e-02]],\n",
       "  \n",
       "           [[ 1.0005e-03,  9.1741e-04,  6.9802e-04],\n",
       "            [ 5.3003e-04,  9.5136e-04,  1.5480e-03],\n",
       "            [ 1.6954e-03,  1.7960e-03,  2.2144e-03]],\n",
       "  \n",
       "           [[ 3.4992e-05, -6.6468e-05, -2.0273e-04],\n",
       "            [-8.2287e-05, -1.6209e-05,  8.5843e-05],\n",
       "            [-1.9047e-05, -1.1938e-04,  1.1279e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 6.6336e-03,  7.1741e-03,  6.8728e-03],\n",
       "            [ 6.7412e-03,  7.0272e-03,  6.7029e-03],\n",
       "            [ 6.8367e-03,  6.3414e-03,  6.4267e-03]],\n",
       "  \n",
       "           [[ 2.9818e-02,  2.9169e-02,  2.8701e-02],\n",
       "            [ 2.9902e-02,  3.0184e-02,  3.0338e-02],\n",
       "            [ 2.7087e-02,  2.7891e-02,  2.7569e-02]],\n",
       "  \n",
       "           [[ 1.6423e-03,  1.7674e-03,  1.6169e-03],\n",
       "            [ 6.4137e-04,  6.7560e-04,  7.5566e-04],\n",
       "            [ 8.0427e-04,  7.8123e-04,  9.7019e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 5.1860e-03,  5.1569e-03,  4.6934e-03],\n",
       "            [ 7.6087e-03,  7.5055e-03,  7.0496e-03],\n",
       "            [ 6.8128e-03,  6.4231e-03,  6.2037e-03]],\n",
       "  \n",
       "           [[-4.5639e-04, -1.5985e-04,  3.9700e-04],\n",
       "            [-4.9347e-04, -7.6128e-05,  6.1439e-04],\n",
       "            [-9.3546e-04, -1.2865e-03, -5.6615e-04]],\n",
       "  \n",
       "           [[ 1.6471e-04,  4.2188e-04,  2.2042e-04],\n",
       "            [ 4.3667e-04,  6.3708e-04,  6.2602e-04],\n",
       "            [-4.2948e-05,  8.2161e-05,  5.1584e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.0228e-03,  6.2295e-04,  9.6729e-04],\n",
       "            [ 1.8545e-03,  1.3877e-03,  1.9229e-03],\n",
       "            [ 1.3043e-03,  1.4472e-03,  1.5621e-03]],\n",
       "  \n",
       "           [[ 2.0991e-02,  2.0960e-02,  1.9819e-02],\n",
       "            [ 2.2292e-02,  2.1876e-02,  2.1224e-02],\n",
       "            [ 2.0616e-02,  2.1089e-02,  2.1262e-02]],\n",
       "  \n",
       "           [[ 1.9937e-03,  1.8156e-03,  1.8285e-03],\n",
       "            [ 1.2984e-03,  1.4082e-03,  1.2076e-03],\n",
       "            [ 1.1322e-03,  1.3000e-03,  1.5274e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-1.0610e-03, -1.0488e-03, -5.6338e-04],\n",
       "            [-4.0183e-03, -3.6661e-03, -2.3989e-03],\n",
       "            [-7.5559e-03, -7.2856e-03, -6.6243e-03]],\n",
       "  \n",
       "           [[-1.5344e-02, -1.4272e-02, -1.3227e-02],\n",
       "            [-1.2460e-02, -1.3556e-02, -1.2360e-02],\n",
       "            [-9.8152e-03, -1.0495e-02, -9.8321e-03]],\n",
       "  \n",
       "           [[-4.2406e-03, -3.9150e-03, -3.1783e-03],\n",
       "            [-3.6648e-03, -3.9476e-03, -3.8186e-03],\n",
       "            [-2.1193e-03, -2.5301e-03, -2.6305e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-7.6747e-03, -6.7400e-03, -6.9265e-03],\n",
       "            [-6.8999e-03, -6.0805e-03, -6.2921e-03],\n",
       "            [-5.6852e-03, -5.5087e-03, -5.6326e-03]],\n",
       "  \n",
       "           [[ 7.9322e-03,  7.5042e-03,  7.3086e-03],\n",
       "            [ 6.4727e-03,  6.6662e-03,  6.1967e-03],\n",
       "            [ 3.5047e-03,  3.7573e-03,  3.9405e-03]],\n",
       "  \n",
       "           [[-1.0742e-03, -9.6032e-04, -1.0328e-03],\n",
       "            [-1.3495e-03, -1.1862e-03, -1.4765e-03],\n",
       "            [-9.3280e-04, -1.0844e-03, -1.3642e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.0963e-03,  9.1624e-04,  8.2269e-04],\n",
       "            [ 3.9334e-04,  2.6600e-04,  3.1390e-04],\n",
       "            [ 3.1855e-05,  5.9474e-05,  5.6842e-05]],\n",
       "  \n",
       "           [[ 7.3653e-05,  1.0086e-04,  3.2774e-04],\n",
       "            [ 1.9662e-04,  1.2634e-04,  1.8803e-04],\n",
       "            [ 4.4442e-04,  4.0585e-04,  2.7996e-04]],\n",
       "  \n",
       "           [[ 9.0513e-05,  1.1700e-04,  2.0428e-04],\n",
       "            [ 4.8794e-05,  5.8888e-05,  1.3909e-04],\n",
       "            [ 8.8452e-05,  1.1641e-04,  1.2675e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.2537e-04,  3.3197e-04,  3.2914e-04],\n",
       "            [ 8.2699e-05,  2.0713e-04,  2.3822e-04],\n",
       "            [ 9.9486e-05,  2.6398e-04,  4.0121e-04]],\n",
       "  \n",
       "           [[ 6.1981e-04,  5.8884e-04,  5.3018e-04],\n",
       "            [ 5.4394e-04,  4.2608e-04,  3.3431e-04],\n",
       "            [ 1.8879e-04,  1.8466e-04,  2.1378e-04]],\n",
       "  \n",
       "           [[ 6.5494e-06,  4.5099e-05,  6.3120e-05],\n",
       "            [ 3.2729e-06,  3.3011e-05,  8.4051e-05],\n",
       "            [ 4.3865e-05,  2.0377e-05,  8.7914e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.9367e-02,  4.0063e-02,  4.0447e-02],\n",
       "            [ 4.0037e-02,  4.0417e-02,  3.9813e-02],\n",
       "            [ 3.9220e-02,  3.8925e-02,  3.7955e-02]],\n",
       "  \n",
       "           [[ 5.7315e-03,  6.5180e-03,  5.5234e-03],\n",
       "            [ 5.5981e-03,  5.8042e-03,  6.1628e-03],\n",
       "            [ 5.9683e-03,  5.8451e-03,  6.5300e-03]],\n",
       "  \n",
       "           [[ 1.1509e-03,  1.3863e-03,  1.2794e-03],\n",
       "            [ 1.3181e-03,  1.4071e-03,  1.4849e-03],\n",
       "            [ 4.2197e-04,  6.5963e-04,  1.1649e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.6788e-02,  1.6684e-02,  1.7375e-02],\n",
       "            [ 1.6886e-02,  1.6654e-02,  1.6577e-02],\n",
       "            [ 1.6375e-02,  1.6265e-02,  1.6234e-02]],\n",
       "  \n",
       "           [[ 6.0516e-02,  6.0869e-02,  6.1292e-02],\n",
       "            [ 5.9288e-02,  5.9818e-02,  6.0019e-02],\n",
       "            [ 5.7331e-02,  5.7844e-02,  5.7734e-02]],\n",
       "  \n",
       "           [[ 1.6325e-03,  1.6976e-03,  1.6534e-03],\n",
       "            [ 1.1226e-03,  1.2031e-03,  1.3453e-03],\n",
       "            [ 9.7722e-04,  9.7893e-04,  1.2127e-03]]]], device='cuda:0'),\n",
       "  tensor([ 1.5000e-02,  1.6595e-02,  2.5537e-02, -4.7750e-03,  5.9946e-02,\n",
       "           4.8916e-03,  7.2217e-04,  3.2616e-02, -4.5393e-04,  5.6484e-04,\n",
       "           8.3688e-03,  1.3946e-03,  3.5650e-03,  2.1259e-02,  6.4729e-03,\n",
       "          -2.0011e-05,  5.6916e-03, -4.7215e-03, -1.7734e-02,  3.9734e-02,\n",
       "          -1.6333e-04,  3.5518e-03,  2.3412e-02,  9.5653e-03,  2.9038e-02,\n",
       "           3.3289e-02,  8.3210e-03,  8.5244e-03, -1.0073e-02,  1.3114e-03,\n",
       "           1.7335e-02, -1.3121e-05,  1.8454e-03, -7.6289e-04, -3.0669e-02,\n",
       "          -2.8098e-02,  2.0956e-04, -1.5659e-02,  5.5988e-03,  6.3012e-02,\n",
       "          -1.9633e-02,  4.9093e-05,  4.0552e-02, -1.1346e-02,  2.4646e-03,\n",
       "           1.8580e-02, -9.1316e-04,  1.7855e-03, -1.4949e-02,  2.5101e-03,\n",
       "           3.0784e-05, -8.8764e-05, -1.9466e-04,  1.2334e-02,  5.8394e-02,\n",
       "          -1.6123e-02, -1.4766e-04,  1.4273e-04, -6.0727e-03,  5.9794e-02,\n",
       "           6.0174e-02, -1.4075e-02,  2.0420e-04,  7.9963e-02], device='cuda:0'),\n",
       "  tensor([ 5.8441e-02,  6.9146e-02,  2.9798e-02, -4.2546e-02,  1.3183e-01,\n",
       "           1.8101e-02,  6.7764e-03,  1.2726e-01, -3.5906e-02,  1.0928e-02,\n",
       "           1.4390e-02,  3.9160e-02,  5.2927e-02,  1.1348e-01,  5.5422e-03,\n",
       "          -4.3389e-03,  6.8501e-02, -4.3889e-02, -6.3892e-02,  1.3503e-01,\n",
       "          -1.3952e-03,  3.2436e-02,  6.3640e-02,  6.7330e-02,  1.5071e-01,\n",
       "           6.5401e-02,  4.8792e-02,  3.9665e-02, -7.5326e-02,  3.3350e-02,\n",
       "           8.6262e-02,  7.3185e-04,  2.6126e-02, -3.4535e-02, -9.5002e-02,\n",
       "          -3.9466e-02,  6.3675e-03, -3.3832e-02,  7.2381e-02,  9.6934e-02,\n",
       "          -4.4721e-02,  1.4259e-03,  1.9225e-01, -9.5334e-02,  8.3195e-02,\n",
       "           1.4945e-01, -2.1040e-02, -4.2197e-03, -7.1036e-02, -5.2067e-02,\n",
       "          -9.6662e-05, -6.7645e-04, -1.8739e-03,  9.5970e-02,  1.1463e-01,\n",
       "          -6.2735e-02, -3.4141e-03,  2.9180e-03, -1.3294e-01,  1.7708e-01,\n",
       "           3.1866e-01, -6.9865e-02,  3.4231e-03,  1.6106e-01], device='cuda:0'),\n",
       "  tensor([[[[ 3.4403e-02,  3.3380e-02,  3.2073e-02],\n",
       "            [ 3.3221e-02,  3.1989e-02,  3.2382e-02],\n",
       "            [ 3.3416e-02,  3.2440e-02,  3.1614e-02]],\n",
       "  \n",
       "           [[ 2.7559e-02,  2.7234e-02,  2.7250e-02],\n",
       "            [ 2.4790e-02,  2.4988e-02,  2.5226e-02],\n",
       "            [ 2.6043e-02,  2.5976e-02,  2.6466e-02]],\n",
       "  \n",
       "           [[ 5.4434e-02,  5.4233e-02,  5.4254e-02],\n",
       "            [ 4.9958e-02,  4.9585e-02,  4.9500e-02],\n",
       "            [ 4.9716e-02,  5.0239e-02,  4.9967e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.6661e-02,  1.8124e-02,  1.8747e-02],\n",
       "            [ 1.6857e-02,  1.7359e-02,  1.8993e-02],\n",
       "            [ 1.7029e-02,  1.7076e-02,  1.8054e-02]],\n",
       "  \n",
       "           [[ 5.3067e-05,  1.5881e-04,  2.7548e-04],\n",
       "            [-4.7002e-06,  3.7024e-05,  1.9080e-04],\n",
       "            [-6.8507e-05, -2.4867e-05, -4.9933e-05]],\n",
       "  \n",
       "           [[ 7.0712e-02,  6.9878e-02,  7.0054e-02],\n",
       "            [ 6.7845e-02,  6.7558e-02,  6.7651e-02],\n",
       "            [ 6.5857e-02,  6.5574e-02,  6.5890e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.1367e-02, -1.1680e-02, -1.1555e-02],\n",
       "            [-1.1250e-02, -1.1396e-02, -1.0730e-02],\n",
       "            [-9.1630e-03, -9.2838e-03, -8.9119e-03]],\n",
       "  \n",
       "           [[-5.0557e-03, -5.1910e-03, -5.4448e-03],\n",
       "            [-5.1364e-03, -5.0424e-03, -5.3527e-03],\n",
       "            [-4.2062e-03, -3.8287e-03, -3.8144e-03]],\n",
       "  \n",
       "           [[-1.1243e-02, -1.1168e-02, -1.0923e-02],\n",
       "            [-1.0718e-02, -1.0981e-02, -1.0818e-02],\n",
       "            [-1.0056e-02, -1.0501e-02, -1.0150e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-7.2842e-03, -7.3018e-03, -7.5226e-03],\n",
       "            [-6.9588e-03, -7.2915e-03, -7.6053e-03],\n",
       "            [-5.6746e-03, -6.2974e-03, -7.6651e-03]],\n",
       "  \n",
       "           [[-6.9504e-05, -1.1398e-04,  1.2241e-05],\n",
       "            [-1.3002e-05, -4.7325e-05,  6.2560e-05],\n",
       "            [ 2.6527e-05, -5.3956e-05, -7.5829e-06]],\n",
       "  \n",
       "           [[-1.6706e-02, -1.7822e-02, -1.7649e-02],\n",
       "            [-1.5423e-02, -1.6042e-02, -1.5822e-02],\n",
       "            [-1.3489e-02, -1.3872e-02, -1.4053e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-4.2752e-03, -4.1825e-03, -5.3026e-03],\n",
       "            [-3.7348e-03, -3.4989e-03, -3.6322e-03],\n",
       "            [-2.1517e-03, -1.7732e-03, -1.9579e-03]],\n",
       "  \n",
       "           [[ 1.3939e-03,  9.1705e-04,  3.6724e-04],\n",
       "            [ 5.1306e-03,  4.7154e-03,  4.2589e-03],\n",
       "            [ 5.4366e-03,  5.3494e-03,  4.9333e-03]],\n",
       "  \n",
       "           [[ 4.6812e-03,  3.9569e-03,  3.1552e-03],\n",
       "            [ 1.0173e-02,  9.7934e-03,  9.1360e-03],\n",
       "            [ 1.2389e-02,  1.1865e-02,  1.1473e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-9.2180e-04, -1.5600e-03, -3.0052e-03],\n",
       "            [-8.8251e-04, -2.3317e-03, -3.1345e-03],\n",
       "            [ 5.2538e-04, -7.7146e-04, -8.1811e-04]],\n",
       "  \n",
       "           [[-3.0852e-05, -8.4330e-05,  3.9846e-05],\n",
       "            [ 2.1748e-05, -5.6597e-06,  6.5717e-05],\n",
       "            [ 1.3774e-04,  8.4388e-05,  1.1335e-05]],\n",
       "  \n",
       "           [[ 2.7950e-03,  9.4080e-04,  1.8918e-04],\n",
       "            [ 8.3082e-03,  6.1075e-03,  5.8130e-03],\n",
       "            [ 1.1814e-02,  1.0220e-02,  1.0300e-02]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 6.5658e-03,  6.5984e-03,  5.8968e-03],\n",
       "            [ 7.1821e-03,  6.5658e-03,  5.9075e-03],\n",
       "            [ 7.0635e-03,  5.8108e-03,  6.0729e-03]],\n",
       "  \n",
       "           [[ 5.7041e-03,  5.4130e-03,  5.6325e-03],\n",
       "            [ 4.2664e-03,  3.6405e-03,  4.4384e-03],\n",
       "            [ 4.8784e-03,  4.2866e-03,  4.9936e-03]],\n",
       "  \n",
       "           [[ 1.2405e-02,  1.2510e-02,  1.2657e-02],\n",
       "            [ 1.0984e-02,  1.0523e-02,  1.0361e-02],\n",
       "            [ 1.2607e-02,  1.1027e-02,  1.1340e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 6.9106e-03,  5.6018e-03,  5.6587e-03],\n",
       "            [ 5.1952e-03,  5.0423e-03,  5.1858e-03],\n",
       "            [ 4.4469e-03,  4.7667e-03,  4.1929e-03]],\n",
       "  \n",
       "           [[-6.2479e-05,  7.7637e-05, -1.7946e-05],\n",
       "            [-9.4790e-06,  1.5731e-05,  6.6548e-05],\n",
       "            [-3.7695e-05,  1.0345e-05,  1.7112e-04]],\n",
       "  \n",
       "           [[ 1.6925e-02,  1.6428e-02,  1.5857e-02],\n",
       "            [ 1.5346e-02,  1.4645e-02,  1.4298e-02],\n",
       "            [ 1.5503e-02,  1.4987e-02,  1.4084e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.7803e-02,  1.7084e-02,  1.6772e-02],\n",
       "            [ 1.7084e-02,  1.8053e-02,  1.7517e-02],\n",
       "            [ 1.6504e-02,  1.6927e-02,  1.6909e-02]],\n",
       "  \n",
       "           [[ 1.6057e-02,  1.5973e-02,  1.6150e-02],\n",
       "            [ 1.4714e-02,  1.4808e-02,  1.5064e-02],\n",
       "            [ 1.4434e-02,  1.4620e-02,  1.5183e-02]],\n",
       "  \n",
       "           [[ 3.3052e-02,  3.3583e-02,  3.4265e-02],\n",
       "            [ 2.9849e-02,  3.1261e-02,  3.1277e-02],\n",
       "            [ 3.1176e-02,  3.1693e-02,  3.0941e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.7336e-02,  1.7714e-02,  1.6581e-02],\n",
       "            [ 1.6237e-02,  1.6138e-02,  1.5604e-02],\n",
       "            [ 1.5676e-02,  1.5808e-02,  1.5698e-02]],\n",
       "  \n",
       "           [[ 2.2561e-05,  8.0730e-05,  1.6609e-04],\n",
       "            [ 3.1993e-05,  8.1871e-05,  1.1980e-04],\n",
       "            [ 1.0255e-04,  1.5208e-04,  1.0229e-04]],\n",
       "  \n",
       "           [[ 4.4250e-02,  4.3946e-02,  4.4051e-02],\n",
       "            [ 4.0968e-02,  4.0426e-02,  4.0823e-02],\n",
       "            [ 3.9764e-02,  3.8699e-02,  3.9821e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.3845e-02, -1.4200e-02, -1.3352e-02],\n",
       "            [-1.4399e-02, -1.3910e-02, -1.4215e-02],\n",
       "            [-1.5834e-02, -1.5741e-02, -1.4910e-02]],\n",
       "  \n",
       "           [[-1.8397e-02, -1.8797e-02, -1.8293e-02],\n",
       "            [-1.7099e-02, -1.6912e-02, -1.6653e-02],\n",
       "            [-1.8261e-02, -1.7480e-02, -1.7625e-02]],\n",
       "  \n",
       "           [[-3.4228e-02, -3.3358e-02, -3.3786e-02],\n",
       "            [-3.2302e-02, -3.0771e-02, -3.1282e-02],\n",
       "            [-3.1963e-02, -3.1792e-02, -3.1927e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.2180e-02, -1.2284e-02, -1.1920e-02],\n",
       "            [-1.4152e-02, -1.4446e-02, -1.3011e-02],\n",
       "            [-1.4383e-02, -1.3942e-02, -1.2801e-02]],\n",
       "  \n",
       "           [[ 8.1461e-05, -6.4306e-05, -1.8629e-05],\n",
       "            [ 7.3195e-05, -8.5769e-05, -8.9191e-05],\n",
       "            [ 1.0195e-05, -5.5158e-05, -6.9177e-05]],\n",
       "  \n",
       "           [[-3.9392e-02, -3.9038e-02, -3.8210e-02],\n",
       "            [-4.0151e-02, -4.0330e-02, -3.9042e-02],\n",
       "            [-4.0104e-02, -4.0946e-02, -3.9975e-02]]]], device='cuda:0'),\n",
       "  tensor([ 4.7448e-03,  1.2570e-03,  1.3668e-03,  6.0231e-02,  2.0867e-02,\n",
       "           2.0309e-02,  1.2721e-03, -2.0718e-03, -1.2586e-04, -1.8768e-03,\n",
       "          -5.7908e-03, -3.9493e-03, -1.0606e-02,  4.1508e-02,  1.3807e-04,\n",
       "           2.2429e-02,  6.4685e-02, -1.6196e-02,  3.2505e-03,  3.0912e-03,\n",
       "           5.4794e-02,  1.3061e-02,  1.5024e-02,  1.6972e-02, -6.2007e-03,\n",
       "          -2.2637e-05,  3.4598e-02, -1.5604e-02, -1.7071e-02, -7.7839e-03,\n",
       "           2.7346e-05,  3.2490e-03,  1.5523e-03, -2.4569e-03,  3.1013e-02,\n",
       "           7.0909e-03, -5.6834e-03,  1.9459e-02,  9.0477e-02,  2.9552e-03,\n",
       "           2.3632e-02,  8.5514e-05, -2.0263e-02,  5.9214e-02,  5.2657e-02,\n",
       "          -6.7056e-04,  7.3610e-03,  5.9459e-03, -2.1937e-03, -9.3300e-04,\n",
       "           3.8005e-03,  4.7426e-02,  8.9269e-02, -4.2578e-03, -3.5458e-02,\n",
       "          -2.1874e-02, -9.9809e-02, -8.1755e-04,  1.2034e-04,  1.1772e-03,\n",
       "           2.9089e-02,  7.9638e-03,  5.1049e-02, -4.4830e-02], device='cuda:0'),\n",
       "  tensor([ 1.5416e-01, -7.0894e-02, -1.0695e-02,  1.7094e-01,  1.7454e-02,\n",
       "           1.4462e-01,  4.2277e-02,  7.0907e-03,  3.1236e-03, -5.3298e-02,\n",
       "          -5.4532e-02, -2.8548e-02, -8.8297e-02,  7.5738e-02,  2.8928e-02,\n",
       "           2.0764e-02,  1.9679e-01, -6.0298e-02,  4.9350e-02, -2.5371e-03,\n",
       "           1.6250e-01,  5.3160e-02,  5.4616e-02, -3.0354e-02,  3.3808e-02,\n",
       "           3.0742e-02,  7.8349e-02, -4.8875e-04, -9.0279e-03, -5.7106e-02,\n",
       "           6.6679e-04, -4.6352e-02,  1.6342e-02,  3.5939e-03,  1.0766e-01,\n",
       "           5.7317e-02, -2.9529e-02,  8.0055e-02,  3.9247e-02,  2.1220e-02,\n",
       "           8.9037e-02,  2.0037e-04, -1.3156e-01,  2.2469e-02,  1.8810e-01,\n",
       "           1.1201e-01,  6.1599e-02,  3.7995e-03, -2.3569e-02, -9.3457e-03,\n",
       "           4.2623e-03,  1.1940e-01,  3.7790e-01,  1.7410e-01, -3.3102e-02,\n",
       "          -8.0449e-02, -2.5812e-01,  6.4986e-02, -2.2045e-02, -5.2058e-03,\n",
       "           8.6557e-02,  5.6722e-02,  1.1392e-01, -5.9761e-02], device='cuda:0'),\n",
       "  tensor([[[[ 8.5781e-04,  1.8076e-04,  6.3490e-04],\n",
       "            [ 4.8986e-04,  6.2967e-04,  1.1344e-03],\n",
       "            [ 9.1667e-04,  9.4237e-04,  1.0948e-03]],\n",
       "  \n",
       "           [[ 8.1346e-04,  8.3410e-04,  5.4725e-04],\n",
       "            [ 6.5861e-04,  4.5293e-04,  3.3197e-05],\n",
       "            [ 2.9012e-04,  1.1381e-04,  2.3583e-04]],\n",
       "  \n",
       "           [[ 5.6312e-03,  5.5869e-03,  5.4533e-03],\n",
       "            [ 5.3971e-03,  5.1959e-03,  4.5043e-03],\n",
       "            [ 4.3280e-03,  3.9413e-03,  4.0187e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.2193e-03,  3.0968e-03,  2.6889e-03],\n",
       "            [ 3.7403e-03,  3.1580e-03,  2.8295e-03],\n",
       "            [ 3.5355e-03,  2.9801e-03,  2.4975e-03]],\n",
       "  \n",
       "           [[ 8.6114e-03,  8.5634e-03,  7.1483e-03],\n",
       "            [ 7.8134e-03,  7.3955e-03,  6.2843e-03],\n",
       "            [ 7.7049e-03,  7.3344e-03,  6.5095e-03]],\n",
       "  \n",
       "           [[ 5.1391e-03,  5.0628e-03,  4.7270e-03],\n",
       "            [ 4.8719e-03,  4.6283e-03,  3.7419e-03],\n",
       "            [ 3.9953e-03,  3.4143e-03,  2.9437e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.6893e-03, -2.5935e-03, -2.2672e-03],\n",
       "            [-1.5460e-03, -1.6556e-03, -1.2432e-03],\n",
       "            [-3.2452e-03, -3.7555e-03, -3.4641e-03]],\n",
       "  \n",
       "           [[-9.7984e-04, -9.6557e-04, -7.6320e-04],\n",
       "            [-2.3451e-04, -4.0808e-05, -3.8730e-04],\n",
       "            [-1.0403e-04,  1.9259e-04,  3.8997e-04]],\n",
       "  \n",
       "           [[-8.7008e-04, -1.7921e-03, -2.5223e-03],\n",
       "            [-3.5199e-04, -1.1316e-03, -1.6003e-03],\n",
       "            [ 1.4550e-03,  8.1830e-04, -3.6837e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.2100e-03, -2.8724e-03, -3.5116e-03],\n",
       "            [-8.8010e-04, -1.6194e-03, -1.9853e-03],\n",
       "            [ 2.9257e-04, -2.1618e-04, -2.1087e-04]],\n",
       "  \n",
       "           [[-1.2729e-03, -2.4689e-03, -3.6036e-03],\n",
       "            [ 3.6088e-03,  2.4074e-03,  9.1900e-04],\n",
       "            [ 3.6654e-03,  2.4477e-03,  1.5920e-03]],\n",
       "  \n",
       "           [[ 1.7344e-03,  8.2052e-04, -1.1957e-04],\n",
       "            [ 3.3472e-03,  2.5045e-03,  1.2368e-03],\n",
       "            [ 4.7738e-03,  4.1415e-03,  2.8371e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-2.1876e-02, -2.1240e-02, -2.0523e-02],\n",
       "            [-2.2600e-02, -2.2422e-02, -2.1914e-02],\n",
       "            [-2.1275e-02, -2.0430e-02, -2.0067e-02]],\n",
       "  \n",
       "           [[-2.6021e-03, -2.4817e-03, -2.3176e-03],\n",
       "            [-2.6697e-03, -2.1763e-03, -1.7169e-03],\n",
       "            [-2.1056e-03, -1.8823e-03, -1.4307e-03]],\n",
       "  \n",
       "           [[-1.5828e-02, -1.5989e-02, -1.5961e-02],\n",
       "            [-1.6653e-02, -1.6739e-02, -1.6741e-02],\n",
       "            [-1.6893e-02, -1.6552e-02, -1.6446e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.9584e-03, -1.6067e-03, -1.6894e-03],\n",
       "            [-1.5722e-03, -1.5386e-03, -1.5657e-03],\n",
       "            [-2.1314e-03, -2.3340e-03, -2.0642e-03]],\n",
       "  \n",
       "           [[-1.2028e-02, -1.0659e-02, -1.1291e-02],\n",
       "            [-1.4138e-02, -1.2146e-02, -1.2924e-02],\n",
       "            [-1.3740e-02, -1.2913e-02, -1.3276e-02]],\n",
       "  \n",
       "           [[-7.7151e-04, -5.2667e-04, -4.2670e-04],\n",
       "            [-1.4402e-03, -1.3528e-03, -1.6488e-03],\n",
       "            [-1.5382e-03, -1.5401e-03, -1.7374e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.4150e-06, -5.8096e-05, -4.1105e-05],\n",
       "            [-1.7149e-04, -2.8893e-04, -2.9237e-04],\n",
       "            [-6.2941e-05, -5.4682e-05, -5.6949e-05]],\n",
       "  \n",
       "           [[-2.6656e-06,  2.4606e-05,  6.2316e-05],\n",
       "            [-5.9003e-05, -2.8623e-05, -1.8534e-05],\n",
       "            [-4.4689e-05, -4.1515e-05, -7.1509e-05]],\n",
       "  \n",
       "           [[ 9.1332e-06,  2.7806e-05, -1.7184e-05],\n",
       "            [-2.2564e-04, -1.6136e-04, -1.6617e-04],\n",
       "            [-2.6790e-04, -2.3793e-04, -2.4867e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.5443e-05, -5.0059e-05, -3.1481e-05],\n",
       "            [-1.0442e-04, -9.4912e-05, -6.2112e-05],\n",
       "            [-1.9972e-04, -1.8633e-04, -1.5721e-04]],\n",
       "  \n",
       "           [[-6.5330e-05, -1.1860e-04, -7.8566e-05],\n",
       "            [-5.3913e-04, -5.3682e-04, -5.7860e-04],\n",
       "            [-5.9641e-04, -6.3391e-04, -6.2365e-04]],\n",
       "  \n",
       "           [[-2.1021e-05, -2.5836e-05, -4.9736e-05],\n",
       "            [-2.5931e-04, -2.7772e-04, -2.4384e-04],\n",
       "            [-2.7549e-04, -3.2925e-04, -3.1423e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-3.1703e-03, -2.9685e-03, -3.2025e-03],\n",
       "            [-3.5698e-03, -3.3704e-03, -3.2386e-03],\n",
       "            [-1.3799e-03, -1.6539e-03, -1.2240e-03]],\n",
       "  \n",
       "           [[ 1.4347e-03,  1.4450e-03,  1.4032e-03],\n",
       "            [ 7.4152e-04,  7.5244e-04,  9.6570e-04],\n",
       "            [-1.8942e-04, -5.7110e-05,  9.1113e-05]],\n",
       "  \n",
       "           [[ 7.3983e-03,  7.5623e-03,  7.1312e-03],\n",
       "            [ 5.6693e-03,  5.5154e-03,  5.4823e-03],\n",
       "            [ 3.4035e-03,  3.4500e-03,  3.4051e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 4.8281e-03,  4.7796e-03,  4.7450e-03],\n",
       "            [ 2.7261e-03,  2.5641e-03,  1.9786e-03],\n",
       "            [ 1.3286e-05,  7.5023e-05, -2.5899e-04]],\n",
       "  \n",
       "           [[ 8.7326e-03,  9.0216e-03,  9.5082e-03],\n",
       "            [ 4.2461e-03,  4.3917e-03,  4.8414e-03],\n",
       "            [ 1.8585e-03,  2.2711e-03,  2.4723e-03]],\n",
       "  \n",
       "           [[ 8.1032e-03,  7.9872e-03,  7.7733e-03],\n",
       "            [ 5.7886e-03,  5.8902e-03,  5.9144e-03],\n",
       "            [ 2.3988e-03,  2.8131e-03,  2.6172e-03]]]], device='cuda:0'),\n",
       "  tensor([ 8.4833e-04,  7.5159e-04,  0.0000e+00,  5.9035e-04,  2.6910e-02,\n",
       "          -1.5813e-02,  1.2124e-02, -7.9556e-04,  1.2775e-03,  2.8350e-03,\n",
       "          -9.9212e-04, -5.0312e-03, -4.5557e-03, -8.4878e-04,  4.0190e-02,\n",
       "          -1.2542e-01,  8.0544e-02, -2.8304e-02, -5.2039e-03,  7.7913e-03,\n",
       "           1.0065e-01, -2.8017e-04,  2.2260e-05,  5.6208e-02,  1.4836e-03,\n",
       "          -2.1502e-02,  2.3907e-04,  4.2018e-02,  9.1373e-03, -6.1421e-05,\n",
       "          -1.1462e-03, -2.8221e-04,  7.8829e-02, -7.6913e-06,  6.7549e-02,\n",
       "           1.6028e-02,  1.5037e-03, -2.1272e-03, -6.8298e-02, -9.5743e-04,\n",
       "           3.7378e-03,  1.8525e-02,  2.5479e-02, -4.8354e-03, -8.7926e-06,\n",
       "          -1.7155e-04, -1.8207e-02,  8.0074e-02, -4.1889e-06,  2.9578e-03,\n",
       "           3.7201e-03, -2.3257e-03,  6.0007e-03, -9.3084e-04, -6.7990e-03,\n",
       "          -1.8217e-03,  6.1667e-06,  4.3982e-02, -2.4550e-02, -1.0945e-02,\n",
       "           1.9274e-04, -2.2685e-02, -1.5387e-04,  9.3208e-04], device='cuda:0'),\n",
       "  tensor([ 4.2476e-03, -1.8120e-02,  0.0000e+00,  1.9223e-03,  7.2058e-02,\n",
       "          -7.4944e-02,  8.6074e-02, -4.7713e-03,  3.1907e-02,  1.7352e-02,\n",
       "           3.5592e-03, -3.5161e-02, -3.7181e-02, -1.1991e-02,  8.6034e-02,\n",
       "          -9.4698e-02,  4.6078e-02, -1.1501e-01, -1.9816e-02,  4.2603e-02,\n",
       "           1.8590e-01, -3.1306e-03,  7.3220e-04,  9.2969e-02, -9.3514e-03,\n",
       "          -1.4425e-01,  6.8017e-03,  1.3321e-01,  5.9023e-03, -1.0709e-04,\n",
       "          -1.3798e-02, -4.3595e-04,  1.1975e-01,  2.6227e-03,  1.6633e-01,\n",
       "           4.2034e-02, -6.1128e-03, -2.0514e-02, -1.0479e-01, -1.2322e-02,\n",
       "           2.9948e-02,  1.4985e-02,  5.0588e-02, -5.6108e-02, -2.5240e-04,\n",
       "          -2.4515e-03, -2.5851e-02,  1.3162e-01, -8.2575e-05,  2.2540e-02,\n",
       "           1.1014e-02, -3.0703e-02,  6.1212e-03, -1.7355e-02, -6.7518e-02,\n",
       "          -5.6765e-03,  9.1379e-05,  1.1366e-01, -3.0918e-02, -4.8304e-02,\n",
       "          -3.0324e-03, -4.8005e-02, -1.7266e-04,  2.0854e-03], device='cuda:0'),\n",
       "  tensor([[[[ 2.8616e-03,  3.0648e-03,  3.0193e-03],\n",
       "            [ 2.6501e-03,  3.0375e-03,  3.0145e-03],\n",
       "            [ 2.8339e-03,  2.4555e-03,  3.0369e-03]],\n",
       "  \n",
       "           [[ 2.6147e-02,  2.6328e-02,  2.6319e-02],\n",
       "            [ 1.8931e-02,  1.8297e-02,  1.8916e-02],\n",
       "            [ 2.3540e-02,  2.3455e-02,  2.3476e-02]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.1206e-02,  1.1799e-02,  1.1612e-02],\n",
       "            [ 8.0976e-03,  8.0992e-03,  8.6428e-03],\n",
       "            [ 8.3933e-03,  9.8227e-03,  9.3403e-03]],\n",
       "  \n",
       "           [[ 9.1373e-04,  8.9801e-04,  9.0396e-04],\n",
       "            [-3.1742e-03, -3.1649e-03, -3.1605e-03],\n",
       "            [ 1.1623e-05,  4.0201e-05, -7.5334e-06]],\n",
       "  \n",
       "           [[ 7.6171e-03,  7.5271e-03,  7.5056e-03],\n",
       "            [ 5.8170e-03,  5.4607e-03,  5.2494e-03],\n",
       "            [ 4.6292e-03,  4.5278e-03,  4.4994e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.6922e-05,  1.7852e-04,  2.3113e-04],\n",
       "            [-8.0485e-06,  1.4946e-04, -3.6148e-06],\n",
       "            [-1.3316e-04, -1.6115e-04, -2.2293e-04]],\n",
       "  \n",
       "           [[ 2.6875e-04, -3.0250e-04, -4.1955e-04],\n",
       "            [-8.5040e-04, -8.1399e-04, -1.6304e-03],\n",
       "            [ 1.5436e-06,  1.3759e-04, -1.8783e-05]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-4.3077e-03, -5.2385e-03, -5.6690e-03],\n",
       "            [-5.6488e-03, -6.9980e-03, -7.9197e-03],\n",
       "            [-5.6501e-03, -6.9398e-03, -7.7226e-03]],\n",
       "  \n",
       "           [[ 8.2355e-05,  1.1680e-04,  8.7156e-05],\n",
       "            [-7.1469e-04, -7.1921e-04, -7.5178e-04],\n",
       "            [ 2.0574e-05,  4.0477e-05,  1.7257e-05]],\n",
       "  \n",
       "           [[ 2.5703e-04,  1.5764e-04,  1.6205e-05],\n",
       "            [ 3.8557e-06, -1.1335e-04, -8.1289e-05],\n",
       "            [-1.4859e-04, -2.4999e-04, -2.2760e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-3.5594e-04, -4.6457e-04, -4.8180e-04],\n",
       "            [-1.8389e-04, -3.2476e-04,  1.3975e-04],\n",
       "            [ 2.3548e-06,  3.0031e-04,  4.0234e-04]],\n",
       "  \n",
       "           [[ 3.1419e-03,  3.4537e-03,  3.3259e-03],\n",
       "            [ 6.7416e-03,  6.3350e-03,  5.8659e-03],\n",
       "            [ 3.7482e-03,  3.4522e-03,  3.6349e-03]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.0786e-02,  2.1398e-02,  2.1739e-02],\n",
       "            [ 1.8521e-02,  1.9532e-02,  2.0310e-02],\n",
       "            [ 1.4766e-02,  1.5363e-02,  1.6530e-02]],\n",
       "  \n",
       "           [[-9.6847e-04, -9.6197e-04, -9.4468e-04],\n",
       "            [ 9.8617e-04,  1.0789e-03,  1.0302e-03],\n",
       "            [-1.8036e-05, -2.7418e-05, -1.6925e-05]],\n",
       "  \n",
       "           [[ 4.2657e-03,  4.5599e-03,  4.2780e-03],\n",
       "            [ 4.6947e-03,  5.1573e-03,  4.7506e-03],\n",
       "            [ 5.3137e-03,  5.0908e-03,  4.9314e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-7.5750e-04, -7.7967e-04, -4.9600e-04],\n",
       "            [-8.0713e-04, -5.2746e-04, -5.7435e-04],\n",
       "            [-3.8782e-04, -4.9319e-04, -6.9302e-04]],\n",
       "  \n",
       "           [[ 1.4197e-04,  4.4743e-05, -5.6351e-06],\n",
       "            [ 5.4167e-04,  1.9233e-04,  1.8906e-04],\n",
       "            [ 7.5860e-05, -3.0448e-05,  4.3147e-04]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.8057e-03, -3.8473e-03, -3.7112e-03],\n",
       "            [-4.6182e-03, -4.8493e-03, -4.8306e-03],\n",
       "            [-5.4496e-03, -6.0087e-03, -5.8139e-03]],\n",
       "  \n",
       "           [[ 2.4815e-04,  2.8432e-04,  2.9876e-04],\n",
       "            [ 4.5556e-05,  2.8267e-05,  3.4257e-05],\n",
       "            [ 1.2282e-05,  4.3323e-06, -8.4266e-06]],\n",
       "  \n",
       "           [[ 1.6009e-03,  1.0307e-03,  7.9623e-04],\n",
       "            [ 1.9479e-03,  1.7451e-03,  1.5197e-03],\n",
       "            [ 2.2870e-03,  2.1407e-03,  1.9180e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.0839e-03,  2.2439e-03,  2.4976e-03],\n",
       "            [ 2.2532e-03,  2.3930e-03,  2.2384e-03],\n",
       "            [ 2.2705e-03,  2.1730e-03,  2.3760e-03]],\n",
       "  \n",
       "           [[ 1.6740e-02,  1.7077e-02,  1.6542e-02],\n",
       "            [ 1.4782e-02,  1.4355e-02,  1.4512e-02],\n",
       "            [ 1.6762e-02,  1.6655e-02,  1.6541e-02]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 9.7380e-03,  8.0056e-03,  6.8513e-03],\n",
       "            [ 9.9139e-03,  8.6446e-03,  7.5311e-03],\n",
       "            [ 1.0763e-02,  1.0023e-02,  9.0244e-03]],\n",
       "  \n",
       "           [[-4.9924e-05,  1.4293e-05,  4.5247e-05],\n",
       "            [-1.9435e-03, -2.0064e-03, -2.0418e-03],\n",
       "            [ 1.3422e-05,  1.3162e-05, -1.3464e-05]],\n",
       "  \n",
       "           [[ 7.0157e-03,  6.9097e-03,  6.8510e-03],\n",
       "            [ 6.5789e-03,  6.6218e-03,  6.4131e-03],\n",
       "            [ 6.9448e-03,  7.0458e-03,  7.0174e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-6.6380e-04, -7.2110e-04, -8.6848e-04],\n",
       "            [-1.3165e-04, -8.9032e-04, -9.6901e-04],\n",
       "            [-5.4934e-04, -9.5938e-04, -8.2083e-04]],\n",
       "  \n",
       "           [[-9.3554e-03, -8.8863e-03, -9.2676e-03],\n",
       "            [-4.7061e-03, -4.5583e-03, -4.1557e-03],\n",
       "            [-7.6347e-03, -7.3611e-03, -7.1603e-03]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.4268e-03, -7.9522e-04, -8.5069e-04],\n",
       "            [ 1.0751e-04,  9.0120e-04,  8.0012e-04],\n",
       "            [-6.2826e-05,  4.8191e-04,  7.3145e-04]],\n",
       "  \n",
       "           [[-9.5288e-04, -9.1619e-04, -8.5856e-04],\n",
       "            [ 1.9925e-03,  2.0090e-03,  2.0512e-03],\n",
       "            [-2.4746e-06,  3.1282e-05,  5.8819e-05]],\n",
       "  \n",
       "           [[-3.3318e-03, -3.2787e-03, -3.3865e-03],\n",
       "            [-2.0626e-03, -1.9996e-03, -2.2923e-03],\n",
       "            [-1.7583e-03, -1.7391e-03, -1.8250e-03]]]], device='cuda:0'),\n",
       "  tensor([ 3.2809e-02, -3.3959e-04,  9.4260e-03, -1.1044e-02, -1.0036e-02,\n",
       "          -4.5877e-03,  2.0737e-02,  3.1033e-02,  2.4925e-02, -1.5338e-04,\n",
       "           3.3960e-03, -1.4063e-02, -4.7593e-03,  2.3860e-02,  4.5389e-02,\n",
       "           3.0255e-02, -3.8950e-02,  7.1187e-03, -2.0415e-03, -9.0120e-02,\n",
       "           2.8261e-02, -1.4597e-03, -1.5408e-02,  3.4539e-04, -2.0764e-04,\n",
       "          -7.6661e-03,  3.3003e-02,  1.1748e-02, -6.7079e-03, -1.0162e-04,\n",
       "          -2.1514e-04,  3.2844e-03,  8.2160e-03, -3.4996e-04, -6.5550e-03,\n",
       "          -1.5770e-04,  6.0016e-04,  6.8453e-03,  2.8997e-02,  5.1626e-03,\n",
       "           4.3628e-02, -5.4331e-04, -6.5881e-06,  3.3792e-02, -2.1451e-02,\n",
       "           5.6245e-02,  1.4241e-02,  2.3116e-03,  1.0207e-02,  3.0630e-03,\n",
       "           1.4348e-03,  4.9300e-02, -1.7352e-02,  3.0134e-02,  2.4553e-03,\n",
       "          -8.4538e-02,  5.8375e-02,  3.6959e-02,  2.0007e-02, -2.3466e-05,\n",
       "           5.0534e-03,  4.1896e-04, -2.1903e-02, -4.2207e-03], device='cuda:0'),\n",
       "  tensor([ 1.5245e-01, -1.4386e-02,  4.4766e-02,  1.4095e-01, -9.1353e-02,\n",
       "           1.3219e-02,  6.6891e-02,  5.0193e-02,  1.2517e-01,  4.2333e-02,\n",
       "          -1.0504e-01, -1.0183e-01, -8.1504e-02,  7.4083e-02,  6.8282e-02,\n",
       "           1.1110e-01,  2.0013e-01, -2.5540e-02, -5.8278e-02, -1.4266e-01,\n",
       "           7.5014e-02,  3.6064e-03,  8.8606e-02, -2.7464e-02,  2.1541e-04,\n",
       "           4.7685e-02,  1.0599e-01,  7.5533e-02,  3.5492e-02, -8.9729e-04,\n",
       "          -8.6909e-04,  1.9873e-02,  3.5983e-02,  4.7704e-03,  1.1847e-01,\n",
       "           3.5923e-03, -2.6639e-02,  1.2256e-03, -1.0464e-01, -4.5641e-03,\n",
       "           1.3770e-01, -1.5598e-03, -2.6105e-02,  9.3152e-02,  6.2199e-02,\n",
       "           1.1519e-01,  5.0630e-02,  7.8712e-02, -7.3648e-02,  3.7941e-03,\n",
       "          -1.4630e-02,  1.0377e-01,  1.0127e-01,  1.3322e-01,  4.5533e-02,\n",
       "          -1.8620e-01, -2.1834e-01,  5.5432e-02,  8.8558e-02, -2.5908e-04,\n",
       "          -6.3686e-04, -1.7982e-02,  1.0885e-01, -3.2130e-02], device='cuda:0'),\n",
       "  tensor([[[[ 1.0798e-02,  1.0602e-02,  1.0627e-02],\n",
       "            [ 1.0019e-02,  9.8607e-03,  9.2238e-03],\n",
       "            [ 9.2372e-03,  9.1499e-03,  9.2426e-03]],\n",
       "  \n",
       "           [[-5.1316e-05,  1.8503e-04,  4.1838e-04],\n",
       "            [ 1.6488e-04,  1.4581e-04,  1.4663e-04],\n",
       "            [ 5.3345e-04,  4.3615e-04,  9.8969e-05]],\n",
       "  \n",
       "           [[ 5.2828e-03,  5.6600e-03,  5.5452e-03],\n",
       "            [ 4.9563e-03,  5.5276e-03,  6.2140e-03],\n",
       "            [ 4.9819e-03,  4.7955e-03,  4.8216e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.2781e-03,  9.6520e-04,  1.4486e-03],\n",
       "            [ 1.5016e-03,  1.2947e-03,  1.1990e-03],\n",
       "            [ 1.4144e-03,  1.6401e-03,  1.5471e-03]],\n",
       "  \n",
       "           [[ 5.7414e-03,  5.7616e-03,  5.6140e-03],\n",
       "            [ 6.1868e-03,  6.1881e-03,  5.8229e-03],\n",
       "            [ 6.4958e-03,  5.9046e-03,  6.0827e-03]],\n",
       "  \n",
       "           [[ 2.5247e-03,  1.8758e-03,  2.6380e-03],\n",
       "            [ 3.1774e-03,  2.7869e-03,  2.8897e-03],\n",
       "            [ 3.0489e-03,  3.0735e-03,  2.8890e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-3.2287e-02, -3.2766e-02, -3.2568e-02],\n",
       "            [-3.3276e-02, -3.2872e-02, -3.3418e-02],\n",
       "            [-3.3889e-02, -3.3869e-02, -3.5197e-02]],\n",
       "  \n",
       "           [[-2.1215e-03, -1.8771e-03, -2.2662e-03],\n",
       "            [-1.8298e-03, -1.4668e-03, -1.3987e-03],\n",
       "            [-1.5699e-03, -9.0014e-04, -1.7350e-03]],\n",
       "  \n",
       "           [[-4.4309e-02, -4.3532e-02, -4.3352e-02],\n",
       "            [-4.3208e-02, -4.2685e-02, -4.2033e-02],\n",
       "            [-4.3501e-02, -4.2527e-02, -4.1814e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.5345e-02, -1.6205e-02, -1.5621e-02],\n",
       "            [-1.3580e-02, -1.4205e-02, -1.4062e-02],\n",
       "            [-1.3035e-02, -1.3002e-02, -1.3064e-02]],\n",
       "  \n",
       "           [[-4.1517e-02, -4.1189e-02, -4.0936e-02],\n",
       "            [-4.1968e-02, -4.2076e-02, -4.1703e-02],\n",
       "            [-4.1322e-02, -4.1139e-02, -4.0632e-02]],\n",
       "  \n",
       "           [[-3.5390e-02, -3.5439e-02, -3.6065e-02],\n",
       "            [-3.4633e-02, -3.5437e-02, -3.6078e-02],\n",
       "            [-3.4395e-02, -3.5606e-02, -3.5475e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-7.3229e-04, -9.8122e-04, -1.0755e-03],\n",
       "            [-1.0656e-03, -1.2528e-03, -1.7136e-03],\n",
       "            [-5.4348e-04, -7.7779e-04, -1.2041e-03]],\n",
       "  \n",
       "           [[ 5.7433e-05,  3.2819e-04, -1.3554e-04],\n",
       "            [-7.6558e-04, -2.5869e-04, -7.4001e-05],\n",
       "            [-4.5766e-04, -4.5615e-04, -6.2987e-04]],\n",
       "  \n",
       "           [[ 4.3207e-04,  1.0929e-04,  4.9689e-04],\n",
       "            [-1.6876e-03, -1.7074e-03, -1.1534e-03],\n",
       "            [-3.5501e-03, -3.1988e-03, -2.6184e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.2894e-04, -4.5753e-06,  1.1696e-04],\n",
       "            [-8.3532e-05, -3.2374e-05,  7.0399e-05],\n",
       "            [-9.6446e-04, -1.0723e-03, -9.1541e-04]],\n",
       "  \n",
       "           [[ 5.4033e-04,  4.1210e-04,  5.0980e-04],\n",
       "            [-2.6059e-03, -2.7890e-03, -2.4742e-03],\n",
       "            [-1.3484e-03, -1.6526e-03, -1.2339e-03]],\n",
       "  \n",
       "           [[ 1.0610e-03,  8.8378e-04,  6.0150e-04],\n",
       "            [ 8.6366e-05, -1.6470e-05, -3.4989e-04],\n",
       "            [-6.2542e-04, -6.3077e-04, -8.6729e-04]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-5.3463e-03, -4.9327e-03, -5.1537e-03],\n",
       "            [-3.9777e-03, -3.5522e-03, -3.9828e-03],\n",
       "            [-3.8195e-03, -3.8810e-03, -3.9951e-03]],\n",
       "  \n",
       "           [[-3.7996e-04, -3.4334e-04, -4.8554e-05],\n",
       "            [-1.2366e-04, -1.8728e-04, -9.6485e-05],\n",
       "            [-3.3452e-05, -1.2361e-04, -1.3232e-04]],\n",
       "  \n",
       "           [[-1.6151e-02, -1.6405e-02, -1.5731e-02],\n",
       "            [-1.6559e-02, -1.6290e-02, -1.5999e-02],\n",
       "            [-1.6574e-02, -1.6162e-02, -1.6259e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-5.7984e-03, -5.6904e-03, -5.4418e-03],\n",
       "            [-6.2054e-03, -6.2280e-03, -6.1869e-03],\n",
       "            [-5.7724e-03, -6.0917e-03, -5.9328e-03]],\n",
       "  \n",
       "           [[-1.3512e-02, -1.3595e-02, -1.3275e-02],\n",
       "            [-1.4314e-02, -1.4321e-02, -1.4226e-02],\n",
       "            [-1.4525e-02, -1.4374e-02, -1.4414e-02]],\n",
       "  \n",
       "           [[-1.4285e-02, -1.4321e-02, -1.4290e-02],\n",
       "            [-1.5110e-02, -1.4622e-02, -1.4980e-02],\n",
       "            [-1.5595e-02, -1.5168e-02, -1.5134e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.6554e-02,  3.5584e-02,  3.6488e-02],\n",
       "            [ 3.5228e-02,  3.5424e-02,  3.5749e-02],\n",
       "            [ 3.2631e-02,  3.3334e-02,  3.4227e-02]],\n",
       "  \n",
       "           [[ 1.5161e-03,  1.4122e-03,  1.6360e-03],\n",
       "            [ 1.0968e-03,  6.5068e-04,  7.1684e-04],\n",
       "            [ 8.6174e-04,  9.8108e-04,  8.3696e-04]],\n",
       "  \n",
       "           [[ 3.0048e-02,  3.0601e-02,  3.0018e-02],\n",
       "            [ 3.2190e-02,  3.1801e-02,  3.0992e-02],\n",
       "            [ 3.1736e-02,  3.1281e-02,  3.1162e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.5352e-03,  7.1402e-03,  7.3867e-03],\n",
       "            [ 8.0985e-03,  7.6365e-03,  7.1322e-03],\n",
       "            [ 7.8155e-03,  7.7445e-03,  7.4843e-03]],\n",
       "  \n",
       "           [[ 2.0841e-02,  2.0637e-02,  1.9818e-02],\n",
       "            [ 2.2659e-02,  2.2276e-02,  2.1541e-02],\n",
       "            [ 2.3099e-02,  2.2265e-02,  2.1436e-02]],\n",
       "  \n",
       "           [[ 1.8100e-02,  1.7980e-02,  1.7499e-02],\n",
       "            [ 2.0183e-02,  1.9143e-02,  1.8739e-02],\n",
       "            [ 2.0646e-02,  1.9241e-02,  1.9541e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.4595e-03,  2.1804e-03,  2.2983e-03],\n",
       "            [ 2.4340e-03,  2.4747e-03,  1.9255e-03],\n",
       "            [ 2.6780e-03,  2.7063e-03,  2.1593e-03]],\n",
       "  \n",
       "           [[ 9.1323e-05,  1.1438e-04,  2.2912e-05],\n",
       "            [ 1.0912e-04,  6.7087e-05, -9.3676e-05],\n",
       "            [ 1.0672e-04,  1.8216e-04,  3.2757e-04]],\n",
       "  \n",
       "           [[ 1.3784e-03,  1.6320e-03,  1.7063e-03],\n",
       "            [ 1.2151e-03,  1.5260e-03,  1.5035e-03],\n",
       "            [ 1.0971e-03,  1.3281e-03,  1.5991e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.7565e-04,  3.5264e-04,  3.2916e-04],\n",
       "            [ 3.8076e-04,  3.7218e-04,  3.0978e-04],\n",
       "            [ 2.9036e-04,  2.7007e-04,  1.7839e-04]],\n",
       "  \n",
       "           [[ 2.0542e-03,  1.9142e-03,  2.0224e-03],\n",
       "            [ 1.8468e-03,  2.0790e-03,  2.1641e-03],\n",
       "            [ 1.9246e-03,  2.2097e-03,  2.1474e-03]],\n",
       "  \n",
       "           [[ 3.4784e-04,  4.3664e-04,  4.8694e-04],\n",
       "            [ 4.1474e-04,  5.0406e-04,  4.4611e-04],\n",
       "            [ 5.5434e-04,  6.5541e-04,  5.6654e-04]]]], device='cuda:0'),\n",
       "  tensor([ 1.1923e-03, -2.8680e-02, -7.2163e-04,  2.2513e-02,  2.6275e-02,\n",
       "           1.0742e-02,  9.6605e-03,  4.0507e-05,  7.7430e-04, -5.7535e-04,\n",
       "           5.5582e-03,  1.9420e-02,  5.6582e-03, -7.9905e-02, -1.7407e-05,\n",
       "          -3.0351e-02,  2.3097e-02,  2.7584e-02,  5.3884e-02,  2.6005e-04,\n",
       "           5.8405e-03,  2.2320e-02, -3.2753e-02,  7.2329e-03,  1.5303e-03,\n",
       "           8.1272e-04, -2.2494e-03,  1.2525e-03, -4.4081e-05,  4.2273e-05,\n",
       "           7.1900e-03,  1.4604e-05, -1.9445e-02,  1.8726e-02, -1.5699e-02,\n",
       "           1.0417e-02, -1.5358e-02, -4.1261e-04, -6.2916e-06,  2.3485e-05,\n",
       "           3.6385e-05,  1.8689e-03, -2.4034e-04,  2.5297e-03,  3.2044e-03,\n",
       "           3.4600e-03,  1.7588e-02, -2.0114e-02,  8.9815e-06,  1.3407e-02,\n",
       "           1.8514e-05, -5.4939e-03,  3.5465e-02,  1.6797e-02,  2.0445e-02,\n",
       "           7.7799e-03,  2.2002e-04,  3.7980e-02,  2.7378e-03, -2.7618e-05,\n",
       "           7.6212e-03,  2.2942e-04,  2.2088e-03,  6.2356e-02,  0.0000e+00,\n",
       "          -9.8661e-06,  7.7872e-04,  9.1639e-06,  0.0000e+00, -7.7934e-02,\n",
       "          -1.3775e-03,  1.0138e-02,  8.3621e-02,  2.1883e-05,  4.1812e-03,\n",
       "           1.1579e-02,  7.2741e-02, -1.3227e-02, -1.3294e-03,  2.9937e-02,\n",
       "          -7.2428e-03,  8.5867e-03, -4.0780e-03, -4.9046e-04,  1.2295e-02,\n",
       "           1.8725e-03,  2.3181e-02,  1.4958e-05, -8.2480e-03, -4.0360e-02,\n",
       "           4.2675e-02,  3.1092e-02, -3.2291e-02,  3.4411e-02,  1.6915e-05,\n",
       "           4.8066e-06, -1.5129e-05, -4.6021e-03,  2.4064e-03,  1.7134e-05,\n",
       "           2.6677e-02, -7.8464e-03,  5.4601e-03,  1.7484e-03, -2.3466e-03,\n",
       "           2.1928e-03, -1.1853e-04,  1.1884e-02,  1.0242e-02, -4.6208e-04,\n",
       "           5.8111e-03,  4.9004e-05, -3.7889e-03, -1.0344e-03, -1.1227e-03,\n",
       "           1.9368e-02, -5.2065e-03,  2.2515e-02,  6.2430e-06,  4.6638e-04,\n",
       "           2.3298e-03, -3.1035e-05, -7.1149e-03, -2.0821e-05, -3.6944e-05,\n",
       "          -2.6879e-03,  1.6327e-02,  2.2856e-04], device='cuda:0'),\n",
       "  tensor([ 1.9487e-02, -7.6763e-02, -2.8687e-03,  2.2947e-02,  1.1742e-01,\n",
       "           1.6981e-02,  1.0286e-01,  7.1503e-04,  5.6744e-03, -3.3331e-03,\n",
       "           1.2279e-02,  1.8093e-02,  1.4134e-02, -9.4791e-02, -1.1821e-02,\n",
       "          -9.0094e-02,  4.5148e-02,  9.2339e-02,  1.1072e-01,  3.5019e-03,\n",
       "           6.5791e-02,  1.6200e-02, -9.7764e-02,  5.1534e-02,  1.7338e-02,\n",
       "          -3.8256e-03, -7.1323e-03,  9.6167e-03, -2.7055e-04,  6.5693e-04,\n",
       "          -4.4131e-03,  1.2135e-04, -6.1428e-02,  3.5471e-02, -7.8282e-02,\n",
       "           5.8303e-02, -4.4745e-02, -3.8349e-03,  3.4547e-04,  6.1371e-04,\n",
       "           6.8389e-04,  2.3668e-02, -3.3709e-03,  5.5579e-03,  1.9286e-03,\n",
       "           3.8386e-02,  7.8305e-02, -1.0353e-01,  5.3639e-05,  3.8122e-02,\n",
       "          -1.0328e-05, -5.3979e-02,  1.7127e-01,  1.3576e-02,  3.8793e-02,\n",
       "           2.2972e-02,  2.3932e-03,  7.5818e-02, -2.0179e-03,  2.2774e-03,\n",
       "           3.9175e-02,  1.8385e-03,  2.2179e-02,  1.5681e-01,  0.0000e+00,\n",
       "          -6.6569e-04,  1.7147e-03, -5.8137e-04,  0.0000e+00, -1.2263e-01,\n",
       "          -1.6465e-02,  1.9100e-02,  1.6621e-01,  3.8492e-06,  1.7630e-02,\n",
       "           1.1629e-01,  1.0642e-01, -2.7857e-02, -1.8008e-02,  5.9395e-02,\n",
       "          -3.3331e-02,  8.9056e-02, -2.5152e-02, -1.0957e-02,  8.3189e-02,\n",
       "          -3.4359e-03,  4.7187e-02,  1.0236e-02, -2.0978e-02, -8.3916e-02,\n",
       "           6.2844e-02,  3.3244e-02, -8.1204e-02,  7.1326e-02, -3.7452e-04,\n",
       "          -6.0904e-05, -1.7883e-04, -3.0386e-02,  1.5527e-02,  1.1094e-04,\n",
       "           8.6750e-02, -3.2332e-02,  4.4353e-02,  1.4628e-02,  8.6890e-03,\n",
       "           1.9311e-02,  8.9658e-04,  1.7963e-02,  5.2789e-02, -6.9354e-03,\n",
       "           6.0267e-02,  7.6513e-04, -4.9117e-02, -6.0252e-03,  4.0262e-03,\n",
       "           2.8017e-02, -2.1095e-02,  1.0713e-01, -9.5672e-06,  8.2925e-03,\n",
       "           2.5507e-02, -2.3999e-03, -3.9995e-02,  7.1369e-04, -5.3834e-04,\n",
       "          -1.5532e-02,  5.2497e-02,  4.7737e-03], device='cuda:0'),\n",
       "  tensor([[[[ 1.4555e-03,  1.7148e-03,  1.5990e-03],\n",
       "            [ 1.8424e-03,  1.5481e-03,  1.7822e-03],\n",
       "            [ 2.1504e-03,  1.9915e-03,  1.8326e-03]],\n",
       "  \n",
       "           [[ 1.3193e-02,  1.3053e-02,  1.2456e-02],\n",
       "            [ 1.3169e-02,  1.3142e-02,  1.2878e-02],\n",
       "            [ 1.4419e-02,  1.4244e-02,  1.3885e-02]],\n",
       "  \n",
       "           [[-8.6274e-05,  2.3729e-04,  3.6389e-04],\n",
       "            [ 2.8269e-04,  4.0973e-04,  5.8077e-04],\n",
       "            [-7.1211e-05,  9.2132e-05,  4.4997e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.2331e-03,  2.4682e-03,  2.3639e-03],\n",
       "            [ 2.3338e-03,  2.8529e-03,  3.0251e-03],\n",
       "            [ 3.0826e-03,  2.7443e-03,  2.8336e-03]],\n",
       "  \n",
       "           [[ 1.1620e-02,  1.1129e-02,  1.1170e-02],\n",
       "            [ 1.2354e-02,  1.1918e-02,  1.1820e-02],\n",
       "            [ 1.1938e-02,  1.1273e-02,  1.1914e-02]],\n",
       "  \n",
       "           [[ 6.2351e-05, -3.7272e-05,  5.5038e-05],\n",
       "            [-2.2130e-05,  4.4499e-05,  4.3317e-05],\n",
       "            [-4.6373e-06, -5.4125e-07,  6.6296e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[-3.1715e-03, -3.3079e-03, -2.9047e-03],\n",
       "            [-3.3978e-03, -3.0210e-03, -3.4201e-03],\n",
       "            [-2.6787e-03, -2.4504e-03, -2.8420e-03]],\n",
       "  \n",
       "           [[-1.9943e-02, -2.0297e-02, -2.0854e-02],\n",
       "            [-2.0142e-02, -2.0438e-02, -2.0678e-02],\n",
       "            [-1.8831e-02, -2.0065e-02, -2.0386e-02]],\n",
       "  \n",
       "           [[-8.2497e-04, -8.6803e-04, -5.7792e-04],\n",
       "            [-6.4044e-04, -3.4562e-04, -6.8611e-04],\n",
       "            [-7.1330e-04, -5.2654e-04, -6.0859e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.1477e-03, -3.1676e-03, -2.9952e-03],\n",
       "            [-3.0120e-03, -2.9274e-03, -2.8185e-03],\n",
       "            [-2.6758e-03, -2.6319e-03, -2.4803e-03]],\n",
       "  \n",
       "           [[-1.4474e-02, -1.4701e-02, -1.4548e-02],\n",
       "            [-1.2833e-02, -1.2962e-02, -1.2605e-02],\n",
       "            [-1.1316e-02, -1.1436e-02, -1.1927e-02]],\n",
       "  \n",
       "           [[-4.6793e-04, -3.7209e-04, -2.9310e-04],\n",
       "            [-4.2285e-04, -3.4064e-04, -2.3043e-04],\n",
       "            [-2.5068e-04, -2.7217e-04, -1.2558e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 5.7619e-04,  1.0440e-03,  1.2215e-03],\n",
       "            [ 5.0087e-04,  9.0153e-04,  7.5922e-04],\n",
       "            [ 3.0900e-04,  2.9629e-04,  4.4536e-04]],\n",
       "  \n",
       "           [[ 4.5201e-03,  4.3293e-03,  4.7816e-03],\n",
       "            [ 4.6110e-03,  4.4796e-03,  4.8573e-03],\n",
       "            [ 1.8758e-03,  3.2460e-03,  2.8853e-03]],\n",
       "  \n",
       "           [[-8.1207e-05,  2.9381e-04,  6.2665e-04],\n",
       "            [ 2.0706e-05,  1.4579e-04,  2.9785e-04],\n",
       "            [ 7.4851e-04,  6.6974e-04,  5.7255e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 5.3256e-04,  3.6687e-04,  6.5158e-04],\n",
       "            [ 1.5620e-04,  2.7491e-06,  5.5220e-04],\n",
       "            [-7.4079e-05, -2.6844e-04,  1.9193e-04]],\n",
       "  \n",
       "           [[ 1.5083e-03,  1.5752e-03,  2.3604e-03],\n",
       "            [-2.0860e-04,  7.2004e-06,  4.1508e-04],\n",
       "            [-7.2376e-04, -8.0356e-04,  9.6765e-05]],\n",
       "  \n",
       "           [[ 3.2932e-04,  2.2570e-04,  7.8880e-05],\n",
       "            [ 1.7301e-04,  2.7913e-04,  2.6047e-04],\n",
       "            [-1.9350e-05,  2.4070e-04,  3.0226e-05]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 4.6230e-04,  3.9708e-04,  4.4166e-04],\n",
       "            [ 2.3399e-04,  1.2321e-04,  2.0753e-04],\n",
       "            [ 2.1610e-04,  1.3535e-04,  1.1552e-04]],\n",
       "  \n",
       "           [[ 2.7904e-03,  2.6743e-03,  3.0116e-03],\n",
       "            [ 2.0124e-03,  1.8925e-03,  1.6744e-03],\n",
       "            [ 1.3191e-03,  1.4688e-03,  1.7681e-03]],\n",
       "  \n",
       "           [[ 1.4376e-04,  1.4817e-04,  1.4864e-04],\n",
       "            [-6.3696e-06,  5.0508e-05,  9.3319e-05],\n",
       "            [ 2.1060e-04,  2.1999e-04,  1.8010e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.6824e-04,  3.9535e-04,  3.1881e-04],\n",
       "            [ 7.0129e-05,  8.4128e-05,  4.5127e-05],\n",
       "            [-4.1173e-06, -1.0519e-05,  1.3671e-05]],\n",
       "  \n",
       "           [[ 7.2942e-04,  5.7881e-04,  5.8252e-04],\n",
       "            [ 7.7295e-04,  7.2216e-04,  8.1223e-04],\n",
       "            [ 5.6640e-04,  9.1164e-04,  1.1341e-03]],\n",
       "  \n",
       "           [[ 5.8449e-05,  3.7628e-05,  2.5571e-05],\n",
       "            [ 9.6231e-05,  4.3609e-05,  6.0712e-05],\n",
       "            [ 1.9282e-05,  1.1503e-04,  1.5225e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[ 6.2290e-03,  6.5399e-03,  6.6920e-03],\n",
       "            [ 7.2017e-03,  7.3734e-03,  7.2454e-03],\n",
       "            [ 7.4578e-03,  7.9097e-03,  7.4243e-03]],\n",
       "  \n",
       "           [[ 4.6209e-02,  4.7016e-02,  4.6268e-02],\n",
       "            [ 4.8474e-02,  4.9363e-02,  4.9209e-02],\n",
       "            [ 4.7896e-02,  4.7680e-02,  4.8077e-02]],\n",
       "  \n",
       "           [[ 1.7642e-03,  1.8938e-03,  2.2116e-03],\n",
       "            [ 7.5694e-04,  7.1139e-04,  9.8955e-05],\n",
       "            [ 6.8418e-04,  1.2840e-03,  1.1006e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.9408e-03,  8.1328e-03,  8.0678e-03],\n",
       "            [ 9.0536e-03,  8.9975e-03,  9.0443e-03],\n",
       "            [ 8.8040e-03,  8.7698e-03,  8.3730e-03]],\n",
       "  \n",
       "           [[ 3.9317e-02,  3.9761e-02,  3.9143e-02],\n",
       "            [ 3.7344e-02,  3.7701e-02,  3.7155e-02],\n",
       "            [ 3.6776e-02,  3.6634e-02,  3.6337e-02]],\n",
       "  \n",
       "           [[ 5.2531e-04,  6.1544e-04,  3.4193e-04],\n",
       "            [ 4.7247e-04,  6.8331e-04,  2.6187e-04],\n",
       "            [ 5.9671e-04,  5.0949e-04,  5.1544e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 6.9379e-03,  6.9859e-03,  6.8673e-03],\n",
       "            [ 6.9772e-03,  7.1694e-03,  7.2122e-03],\n",
       "            [ 7.4903e-03,  7.6989e-03,  7.9691e-03]],\n",
       "  \n",
       "           [[ 4.9284e-02,  4.9023e-02,  4.8709e-02],\n",
       "            [ 5.1115e-02,  5.0668e-02,  5.0183e-02],\n",
       "            [ 5.3037e-02,  5.1979e-02,  5.1962e-02]],\n",
       "  \n",
       "           [[ 3.0703e-03,  3.3515e-03,  3.6683e-03],\n",
       "            [ 2.1138e-03,  2.9052e-03,  2.7986e-03],\n",
       "            [ 2.9932e-03,  3.3723e-03,  3.0983e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.2661e-03,  7.4238e-03,  7.3499e-03],\n",
       "            [ 7.7878e-03,  8.0843e-03,  8.6342e-03],\n",
       "            [ 8.6597e-03,  8.8093e-03,  9.2488e-03]],\n",
       "  \n",
       "           [[ 4.1179e-02,  4.1833e-02,  4.2280e-02],\n",
       "            [ 4.1643e-02,  4.2894e-02,  4.3490e-02],\n",
       "            [ 4.1499e-02,  4.2424e-02,  4.3955e-02]],\n",
       "  \n",
       "           [[ 7.5616e-04,  6.5779e-04,  7.2012e-04],\n",
       "            [ 9.1229e-04,  7.4040e-04,  7.4328e-04],\n",
       "            [ 7.6450e-04,  7.8514e-04,  9.3399e-04]]]], device='cuda:0'),\n",
       "  tensor([-2.1173e-03, -2.9910e-02,  2.7466e-05, -1.4963e-03,  2.6817e-02,\n",
       "           2.5491e-03,  7.5947e-07,  9.2206e-03, -1.2489e-04,  1.2528e-02,\n",
       "           8.5017e-04,  7.6213e-03,  6.9380e-03,  6.3141e-03, -9.5421e-06,\n",
       "           5.6839e-02,  1.0257e-02,  4.7790e-03, -2.3061e-03, -6.6548e-03,\n",
       "           1.3859e-03, -2.1193e-02,  2.0590e-03, -7.1934e-03, -2.7177e-03,\n",
       "           4.2318e-03,  1.7758e-03,  5.2155e-02,  1.4873e-03, -7.8112e-04,\n",
       "           8.0319e-03, -3.8026e-03, -2.0236e-03,  3.5307e-04,  3.5988e-05,\n",
       "           5.8602e-02, -1.6059e-04,  4.1665e-04, -1.4684e-02,  1.3803e-02,\n",
       "          -9.9961e-04, -3.1403e-05,  6.1018e-04, -3.9657e-05,  3.3053e-03,\n",
       "          -1.5092e-02,  3.4898e-03, -7.2832e-03,  5.2180e-03, -3.8416e-02,\n",
       "          -1.8494e-03,  1.5014e-02, -3.8124e-04, -2.0164e-03,  6.7815e-03,\n",
       "          -8.0112e-03,  1.9595e-04, -4.8492e-04, -1.7690e-04,  4.3972e-03,\n",
       "           4.0816e-03, -1.3924e-03, -1.4700e-03, -5.6716e-03,  1.3936e-03,\n",
       "          -1.9954e-09, -8.3333e-04, -1.9073e-04,  5.9622e-04,  1.2260e-05,\n",
       "           2.6611e-04,  4.3110e-03,  2.0209e-02, -1.1470e-05,  1.0139e-02,\n",
       "          -4.8975e-04,  1.6128e-04,  1.1110e-03,  5.6481e-05,  3.2731e-03,\n",
       "           0.0000e+00,  5.9649e-03,  1.5785e-03,  4.0511e-04,  3.1000e-02,\n",
       "           1.5671e-04,  1.7290e-02, -7.9512e-03,  8.0183e-03,  8.3240e-03,\n",
       "          -6.2979e-02,  4.5551e-02, -9.8876e-03, -3.5931e-03,  1.9548e-02,\n",
       "           1.1595e-02, -4.3574e-04,  1.0479e-02, -7.0097e-03,  5.5772e-02,\n",
       "          -7.9132e-05, -2.5182e-02, -1.9393e-04, -8.2097e-04, -1.6045e-02,\n",
       "          -5.0308e-03, -3.6707e-03,  1.2369e-02, -4.4477e-03, -1.2058e-03,\n",
       "           1.5780e-02, -1.9520e-03,  4.8117e-02, -2.5363e-03,  2.3457e-04,\n",
       "          -1.6235e-02,  1.9937e-04, -4.5988e-03,  4.9166e-03,  6.4759e-06,\n",
       "          -6.2860e-03,  7.4757e-05,  3.0239e-03,  8.9127e-03,  1.0417e-02,\n",
       "           4.5564e-03,  4.3326e-02,  1.5663e-01], device='cuda:0'),\n",
       "  tensor([ 2.0591e-02, -5.8137e-02,  1.8010e-02, -4.3222e-03,  6.8664e-02,\n",
       "          -4.1397e-02, -2.3379e-05,  1.5355e-02, -5.6408e-04, -3.4595e-02,\n",
       "          -2.3365e-02, -4.7839e-02, -2.1298e-02,  4.4105e-02, -9.3071e-05,\n",
       "           1.6915e-01,  3.4637e-02, -6.3014e-02, -1.2920e-02, -2.2144e-02,\n",
       "           6.6025e-03, -2.8765e-02, -1.8797e-02, -3.1386e-02, -1.4936e-02,\n",
       "           4.2664e-02,  6.8791e-03,  1.6646e-01,  1.6583e-02,  5.3863e-02,\n",
       "           1.8511e-02, -1.3511e-02,  2.6862e-02,  9.6778e-03, -1.1416e-03,\n",
       "           1.3329e-01,  2.4754e-03,  7.2895e-03, -3.3544e-02,  3.1079e-02,\n",
       "           1.4990e-03,  2.6815e-04,  3.9382e-03, -8.6315e-03,  1.5942e-02,\n",
       "          -8.0786e-02,  5.2092e-02,  1.8454e-02,  3.4934e-02, -6.5569e-02,\n",
       "          -3.0363e-03,  9.9420e-02,  1.9460e-03, -1.3505e-02, -1.1631e-02,\n",
       "          -1.3620e-02,  4.1753e-04, -4.8191e-03, -6.2957e-03,  1.9244e-02,\n",
       "           9.7708e-02, -8.0055e-04,  4.1747e-03, -2.1059e-02,  9.8470e-03,\n",
       "           5.8908e-05,  1.4972e-02,  9.9592e-04, -7.3538e-05, -3.8501e-03,\n",
       "          -7.1072e-04,  3.7557e-02,  2.1549e-02,  9.9555e-05,  3.5427e-02,\n",
       "          -3.3887e-04, -2.6505e-04,  3.4621e-03, -2.0339e-04,  8.6628e-03,\n",
       "           0.0000e+00, -4.8024e-02,  1.0674e-01, -1.0252e-02,  3.8001e-02,\n",
       "           2.2709e-02,  4.0841e-02, -4.7963e-02,  1.0461e-01,  2.2864e-02,\n",
       "          -1.1382e-01,  1.1581e-01, -2.5637e-02,  5.3758e-02,  1.1165e-01,\n",
       "           2.7907e-02,  4.2677e-02,  3.0924e-02, -1.3033e-02,  1.4200e-01,\n",
       "           3.0633e-04, -1.2173e-01,  8.1462e-04, -3.9222e-02,  3.3531e-02,\n",
       "          -1.3757e-02, -2.9950e-02,  2.2459e-02, -7.0011e-02, -2.7088e-02,\n",
       "          -1.7232e-02, -4.7726e-04,  1.5966e-01, -8.8991e-03, -1.0201e-03,\n",
       "          -4.6553e-02, -2.1613e-03, -3.0728e-03, -2.6149e-02,  6.0839e-05,\n",
       "          -1.5457e-02,  2.3196e-04, -7.3449e-02,  2.8852e-02,  5.7483e-02,\n",
       "           1.3212e-02,  8.6142e-02,  2.0307e-01], device='cuda:0'),\n",
       "  tensor([[[[ 0.0074]],\n",
       "  \n",
       "           [[-0.0001]],\n",
       "  \n",
       "           [[ 0.0206]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0063]],\n",
       "  \n",
       "           [[ 0.0201]],\n",
       "  \n",
       "           [[ 0.0191]]],\n",
       "  \n",
       "  \n",
       "          [[[-0.0296]],\n",
       "  \n",
       "           [[-0.0014]],\n",
       "  \n",
       "           [[-0.0305]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-0.0086]],\n",
       "  \n",
       "           [[-0.0283]],\n",
       "  \n",
       "           [[-0.0227]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0109]],\n",
       "  \n",
       "           [[ 0.0012]],\n",
       "  \n",
       "           [[ 0.0048]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0011]],\n",
       "  \n",
       "           [[ 0.0030]],\n",
       "  \n",
       "           [[ 0.0019]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 0.0085]],\n",
       "  \n",
       "           [[ 0.0011]],\n",
       "  \n",
       "           [[ 0.0032]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0013]],\n",
       "  \n",
       "           [[ 0.0008]],\n",
       "  \n",
       "           [[ 0.0010]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0295]],\n",
       "  \n",
       "           [[ 0.0009]],\n",
       "  \n",
       "           [[ 0.0630]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0237]],\n",
       "  \n",
       "           [[ 0.0709]],\n",
       "  \n",
       "           [[ 0.0615]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.1210]],\n",
       "  \n",
       "           [[ 0.0070]],\n",
       "  \n",
       "           [[ 0.1034]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0248]],\n",
       "  \n",
       "           [[ 0.0732]],\n",
       "  \n",
       "           [[ 0.0593]]]], device='cuda:0'),\n",
       "  tensor([ 1.0011e-02,  1.5381e-02,  4.7261e-03,  1.6372e-03, -9.8108e-03,\n",
       "          -1.3430e-02, -2.0785e-06,  1.0203e-02,  1.0892e-04, -1.6545e-02,\n",
       "          -1.5071e-02, -2.9023e-02, -1.3612e-02,  7.2416e-03, -2.5948e-07,\n",
       "           1.1851e-01, -6.2695e-03, -1.8900e-02,  3.8307e-03, -5.1825e-03,\n",
       "          -9.0932e-04,  1.4865e-02, -3.7799e-03,  6.1140e-03,  1.0051e-03,\n",
       "           1.9203e-02, -5.8988e-04,  6.3841e-02,  2.2043e-03,  1.5019e-02,\n",
       "           1.0408e-02,  3.4355e-03,  1.4673e-02,  2.5377e-03, -1.0832e-04,\n",
       "           2.7925e-02,  5.9779e-04,  2.7194e-05, -1.2850e-03,  2.6023e-02,\n",
       "           1.0023e-03,  3.7911e-05,  4.4558e-04, -8.9692e-04,  5.0959e-03,\n",
       "          -1.7932e-02,  2.0510e-02,  1.4696e-02,  2.0823e-02,  5.9172e-03,\n",
       "           2.6936e-03,  3.4333e-02,  1.0024e-03, -1.9728e-04,  9.5178e-03,\n",
       "           4.9646e-04, -1.8824e-04,  3.2170e-04, -2.5786e-04,  6.8166e-03,\n",
       "           2.4429e-02,  1.4041e-03,  1.3275e-03,  4.0273e-03, -6.8536e-04,\n",
       "          -9.4028e-06,  2.8445e-03,  2.1361e-04, -1.0576e-03, -8.7247e-04,\n",
       "          -2.4596e-04,  2.8320e-02, -7.0081e-03,  2.6188e-05, -6.7603e-04,\n",
       "           1.1861e-03, -1.1680e-04, -4.0891e-04, -1.2405e-04,  2.0802e-04,\n",
       "           0.0000e+00, -1.3216e-02,  5.3217e-02, -7.9525e-03, -1.2119e-02,\n",
       "           2.4074e-02, -5.3123e-03, -4.7715e-03,  5.4303e-02, -2.6685e-03,\n",
       "           2.1305e-02,  1.7503e-03, -6.3885e-03,  1.7469e-02,  9.6592e-02,\n",
       "           2.9622e-02,  8.7350e-03,  1.6229e-02, -6.0798e-03,  9.5008e-03,\n",
       "           1.5983e-04, -5.5559e-02,  2.3963e-04, -1.5645e-02,  2.1233e-02,\n",
       "           3.5858e-03, -5.3888e-05, -6.4515e-03, -2.1207e-02, -8.4740e-03,\n",
       "          -1.0655e-02,  5.1759e-03,  1.0586e-01,  6.1010e-04, -6.5889e-04,\n",
       "          -1.9582e-02, -9.0072e-04,  4.4904e-03, -4.2017e-04,  4.9675e-07,\n",
       "           4.4800e-03, -3.5860e-05, -2.9661e-02, -3.5417e-03,  6.4749e-02,\n",
       "          -3.4218e-03,  5.8717e-02, -3.1426e-02], device='cuda:0'),\n",
       "  tensor([ 2.0591e-02, -5.8137e-02,  1.8010e-02, -4.3222e-03,  6.8664e-02,\n",
       "          -4.1397e-02, -2.3379e-05,  1.5355e-02, -5.6408e-04, -3.4595e-02,\n",
       "          -2.3365e-02, -4.7839e-02, -2.1298e-02,  4.4105e-02, -9.3071e-05,\n",
       "           1.6915e-01,  3.4637e-02, -6.3014e-02, -1.2920e-02, -2.2144e-02,\n",
       "           6.6025e-03, -2.8765e-02, -1.8797e-02, -3.1386e-02, -1.4936e-02,\n",
       "           4.2664e-02,  6.8791e-03,  1.6646e-01,  1.6583e-02,  5.3863e-02,\n",
       "           1.8511e-02, -1.3511e-02,  2.6862e-02,  9.6778e-03, -1.1416e-03,\n",
       "           1.3329e-01,  2.4754e-03,  7.2895e-03, -3.3544e-02,  3.1079e-02,\n",
       "           1.4990e-03,  2.6815e-04,  3.9382e-03, -8.6315e-03,  1.5942e-02,\n",
       "          -8.0786e-02,  5.2092e-02,  1.8454e-02,  3.4934e-02, -6.5569e-02,\n",
       "          -3.0363e-03,  9.9420e-02,  1.9460e-03, -1.3505e-02, -1.1631e-02,\n",
       "          -1.3620e-02,  4.1753e-04, -4.8191e-03, -6.2957e-03,  1.9244e-02,\n",
       "           9.7708e-02, -8.0055e-04,  4.1747e-03, -2.1059e-02,  9.8470e-03,\n",
       "           5.8908e-05,  1.4972e-02,  9.9592e-04, -7.3538e-05, -3.8501e-03,\n",
       "          -7.1072e-04,  3.7557e-02,  2.1549e-02,  9.9555e-05,  3.5427e-02,\n",
       "          -3.3887e-04, -2.6505e-04,  3.4621e-03, -2.0339e-04,  8.6628e-03,\n",
       "           0.0000e+00, -4.8024e-02,  1.0674e-01, -1.0252e-02,  3.8001e-02,\n",
       "           2.2709e-02,  4.0841e-02, -4.7963e-02,  1.0461e-01,  2.2864e-02,\n",
       "          -1.1382e-01,  1.1581e-01, -2.5637e-02,  5.3758e-02,  1.1165e-01,\n",
       "           2.7907e-02,  4.2677e-02,  3.0924e-02, -1.3033e-02,  1.4200e-01,\n",
       "           3.0633e-04, -1.2173e-01,  8.1462e-04, -3.9222e-02,  3.3531e-02,\n",
       "          -1.3757e-02, -2.9950e-02,  2.2459e-02, -7.0011e-02, -2.7088e-02,\n",
       "          -1.7232e-02, -4.7726e-04,  1.5966e-01, -8.8991e-03, -1.0201e-03,\n",
       "          -4.6553e-02, -2.1613e-03, -3.0728e-03, -2.6149e-02,  6.0839e-05,\n",
       "          -1.5457e-02,  2.3196e-04, -7.3449e-02,  2.8852e-02,  5.7483e-02,\n",
       "           1.3212e-02,  8.6142e-02,  2.0307e-01], device='cuda:0'),\n",
       "  tensor([[[[-1.7053e-13, -7.3233e-07, -2.6894e-07],\n",
       "            [-3.4106e-13,  2.2484e-06,  9.8832e-07],\n",
       "            [ 3.1264e-13,  1.1464e-06,  2.9310e-13]],\n",
       "  \n",
       "           [[ 5.4677e-06,  7.5537e-06,  1.0872e-05],\n",
       "            [ 1.0899e-05,  1.4107e-05,  2.4763e-05],\n",
       "            [ 2.6178e-06,  2.5439e-06,  2.9972e-06]],\n",
       "  \n",
       "           [[ 2.8871e-07,  1.6185e-06,  4.4156e-06],\n",
       "            [-3.5729e-07, -4.2789e-07,  2.7293e-06],\n",
       "            [-3.9790e-13,  4.8317e-13,  4.3840e-07]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.6381e-06,  1.2197e-06,  5.9656e-07],\n",
       "            [ 2.3011e-05,  1.8631e-05,  2.1663e-05],\n",
       "            [ 6.8141e-12,  2.1672e-12,  1.3145e-12]],\n",
       "  \n",
       "           [[ 7.8468e-05,  6.1029e-05,  5.9531e-05],\n",
       "            [ 5.8474e-05,  5.1069e-05,  4.5600e-05],\n",
       "            [ 1.6982e-06,  1.0912e-06,  8.7539e-12]],\n",
       "  \n",
       "           [[ 1.4173e-04,  1.4869e-04,  1.4420e-04],\n",
       "            [ 1.0700e-04,  1.0620e-04,  1.0230e-04],\n",
       "            [ 2.6331e-06,  4.3900e-06,  5.0388e-06]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.9891e-02,  2.0985e-02,  2.1056e-02],\n",
       "            [ 2.0151e-02,  2.0635e-02,  2.1110e-02],\n",
       "            [ 2.0185e-02,  2.0664e-02,  1.9583e-02]],\n",
       "  \n",
       "           [[ 2.7700e-02,  2.7028e-02,  2.6241e-02],\n",
       "            [ 3.0156e-02,  2.9811e-02,  2.8622e-02],\n",
       "            [ 3.0467e-02,  3.0803e-02,  2.9463e-02]],\n",
       "  \n",
       "           [[ 4.2210e-02,  4.2428e-02,  4.2498e-02],\n",
       "            [ 4.1186e-02,  4.2171e-02,  4.2514e-02],\n",
       "            [ 4.1413e-02,  4.1521e-02,  4.3251e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.2983e-03,  1.6541e-03,  1.8924e-03],\n",
       "            [ 1.5567e-03,  1.7887e-03,  1.9111e-03],\n",
       "            [ 1.6559e-03,  1.6727e-03,  1.0345e-03]],\n",
       "  \n",
       "           [[ 9.6876e-02,  9.8125e-02,  9.8918e-02],\n",
       "            [ 9.4974e-02,  9.7599e-02,  9.8740e-02],\n",
       "            [ 9.2682e-02,  9.4619e-02,  9.6764e-02]],\n",
       "  \n",
       "           [[ 8.1619e-02,  8.3781e-02,  8.4935e-02],\n",
       "            [ 8.2799e-02,  8.2301e-02,  8.4647e-02],\n",
       "            [ 8.1807e-02,  8.2054e-02,  8.1436e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 5.4754e-05,  1.6292e-04,  1.9681e-04],\n",
       "            [-1.1444e-04,  5.8721e-05,  3.7826e-05],\n",
       "            [-4.5499e-04, -5.1187e-05, -4.6134e-05]],\n",
       "  \n",
       "           [[ 8.7915e-04,  8.6557e-04,  1.3062e-03],\n",
       "            [ 3.7094e-04,  5.3303e-04,  8.0151e-04],\n",
       "            [ 2.2685e-05, -2.2370e-04,  2.2926e-04]],\n",
       "  \n",
       "           [[ 5.7094e-04,  6.0397e-04,  9.6179e-04],\n",
       "            [ 2.5211e-04,  1.8953e-04,  3.5580e-04],\n",
       "            [ 1.3216e-04,  2.4007e-04,  1.7172e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.6705e-04,  1.4780e-04,  1.6729e-04],\n",
       "            [ 1.9946e-04,  8.9246e-05,  6.7033e-05],\n",
       "            [ 9.5182e-05,  3.2351e-05,  9.6162e-05]],\n",
       "  \n",
       "           [[ 6.7791e-04,  7.0909e-04,  1.1811e-03],\n",
       "            [-1.7778e-05,  2.0889e-04,  8.3348e-04],\n",
       "            [-7.0899e-05, -2.6335e-04,  3.4884e-04]],\n",
       "  \n",
       "           [[ 1.4070e-03,  1.2141e-03,  1.4853e-03],\n",
       "            [ 8.0450e-04,  9.9946e-04,  9.1295e-04],\n",
       "            [ 1.1610e-03,  1.1466e-03,  1.2098e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-1.7360e-04, -1.4880e-04, -4.4856e-04],\n",
       "            [-2.1685e-04, -8.4661e-05, -3.3495e-04],\n",
       "            [-4.3040e-05, -1.9740e-04, -1.4223e-04]],\n",
       "  \n",
       "           [[-1.1640e-03, -1.2681e-03, -1.0992e-03],\n",
       "            [-8.8750e-04, -9.4227e-04, -9.8757e-04],\n",
       "            [-7.0127e-04, -8.0649e-04, -8.0803e-04]],\n",
       "  \n",
       "           [[-1.1414e-03, -1.4001e-03, -9.1995e-04],\n",
       "            [-6.8676e-04, -8.9772e-04, -9.6427e-04],\n",
       "            [-5.7794e-04, -6.7272e-04, -6.1199e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.4007e-04, -1.1694e-04, -5.7954e-05],\n",
       "            [-2.2105e-04, -1.8519e-04, -5.2139e-04],\n",
       "            [-8.0898e-05, -1.0399e-04, -1.9752e-04]],\n",
       "  \n",
       "           [[-2.2811e-03, -2.5236e-03, -2.5522e-03],\n",
       "            [-1.8381e-03, -1.7147e-03, -2.0581e-03],\n",
       "            [-1.9874e-03, -1.7286e-03, -1.8962e-03]],\n",
       "  \n",
       "           [[-2.4325e-03, -2.4611e-03, -2.5492e-03],\n",
       "            [-2.3984e-03, -2.4925e-03, -2.7825e-03],\n",
       "            [-2.3514e-03, -2.2379e-03, -2.2757e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.2349e-03,  2.2044e-03,  1.3652e-03],\n",
       "            [ 1.4544e-03,  2.0710e-03,  2.0486e-03],\n",
       "            [ 3.4397e-04,  9.9606e-04,  1.2312e-03]],\n",
       "  \n",
       "           [[-9.0101e-03, -8.8398e-03, -9.1931e-03],\n",
       "            [-8.7129e-03, -8.8548e-03, -8.2544e-03],\n",
       "            [-7.5361e-03, -7.9637e-03, -8.6369e-03]],\n",
       "  \n",
       "           [[-2.7752e-03, -2.2926e-03, -2.2761e-03],\n",
       "            [ 4.0497e-04,  1.1655e-03,  6.2025e-04],\n",
       "            [ 9.2505e-04,  1.4980e-03,  1.2649e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.5714e-03, -1.4281e-03, -1.2195e-03],\n",
       "            [-1.1280e-03, -9.1527e-04, -1.0499e-03],\n",
       "            [-1.0071e-03, -1.0374e-03, -8.2311e-04]],\n",
       "  \n",
       "           [[-1.7177e-02, -1.4825e-02, -1.3886e-02],\n",
       "            [-1.2079e-02, -9.8886e-03, -9.8032e-03],\n",
       "            [-1.2566e-02, -1.1147e-02, -9.9614e-03]],\n",
       "  \n",
       "           [[-2.2547e-02, -2.3160e-02, -2.2673e-02],\n",
       "            [-2.3260e-02, -2.1722e-02, -2.0088e-02],\n",
       "            [-2.2175e-02, -2.1074e-02, -2.0542e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 6.2824e-06, -3.9662e-05, -5.7593e-06],\n",
       "            [-4.0665e-05, -3.1876e-05, -9.8975e-05],\n",
       "            [ 9.9070e-05,  6.4312e-05, -5.6275e-05]],\n",
       "  \n",
       "           [[ 5.5667e-04,  2.5567e-04,  3.4059e-04],\n",
       "            [ 3.6347e-04,  2.8425e-04,  5.1523e-04],\n",
       "            [ 4.4239e-04,  2.8265e-04,  3.4193e-04]],\n",
       "  \n",
       "           [[-9.3713e-05,  3.5209e-04,  3.0392e-04],\n",
       "            [ 2.9108e-05,  1.7769e-05,  6.1233e-05],\n",
       "            [-1.3293e-04,  3.1662e-05,  3.9114e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.0833e-04,  1.5408e-04,  1.7135e-04],\n",
       "            [ 1.6984e-04,  1.7039e-04,  1.4870e-04],\n",
       "            [-2.3287e-05,  1.2551e-05, -3.0453e-05]],\n",
       "  \n",
       "           [[ 1.9809e-03,  1.7657e-03,  1.7894e-03],\n",
       "            [ 1.9384e-03,  1.6950e-03,  1.8584e-03],\n",
       "            [ 2.3261e-03,  1.8852e-03,  1.6774e-03]],\n",
       "  \n",
       "           [[ 3.7898e-03,  4.0152e-03,  3.6599e-03],\n",
       "            [ 3.2820e-03,  3.3039e-03,  3.0339e-03],\n",
       "            [ 3.4780e-03,  3.5426e-03,  3.4492e-03]]]], device='cuda:0'),\n",
       "  tensor([ 8.8708e-06,  8.0218e-02,  3.1859e-04,  1.6938e-05, -4.0352e-04,\n",
       "          -1.0132e-03,  5.3521e-05,  2.5251e-03,  1.0139e-05,  1.0489e-02,\n",
       "           1.9226e-02,  1.8294e-02, -2.2966e-05,  1.2726e-02,  6.3318e-03,\n",
       "          -3.9738e-02,  9.1250e-04,  1.1313e-04, -7.4766e-03,  4.7327e-04,\n",
       "          -4.4557e-05,  2.9223e-03, -9.1320e-05,  1.9158e-02,  3.3879e-03,\n",
       "           3.2790e-02,  9.0214e-05,  5.2382e-02, -5.7355e-04, -1.4807e-01,\n",
       "          -5.6451e-04,  2.5850e-04,  1.2302e-03, -5.2865e-03, -1.0302e-02,\n",
       "           1.2912e-03, -2.4469e-05,  2.8608e-04,  1.0808e-03,  9.7971e-03,\n",
       "           1.1833e-02,  1.6489e-02, -3.0161e-02, -5.5549e-05,  3.7308e-02,\n",
       "          -5.9698e-04,  8.2609e-03,  7.5328e-03,  2.0665e-02, -1.3211e-02,\n",
       "           7.4179e-02,  1.2456e-03,  2.3937e-04, -2.9775e-03,  1.5088e-02,\n",
       "           3.7141e-03,  1.2365e-02, -7.7003e-03,  4.6816e-04, -4.7952e-04,\n",
       "          -2.5211e-04,  7.7640e-03, -1.0009e-05,  8.1641e-04, -2.9184e-02,\n",
       "          -7.5684e-02,  4.2374e-03,  1.8175e-04,  7.9896e-03,  7.3017e-03,\n",
       "          -1.8789e-03,  7.4590e-04,  1.0621e-04, -9.8546e-03,  7.5647e-03,\n",
       "          -6.5299e-04, -6.9432e-03, -4.4050e-03,  1.4772e-04,  4.0440e-03,\n",
       "           2.9058e-02,  3.2785e-02, -1.6598e-02,  6.7234e-03, -1.0633e-04,\n",
       "           1.8766e-02, -1.0859e-02,  1.0304e-01, -1.0863e-03,  3.7923e-04,\n",
       "           4.6835e-03,  4.9158e-04,  0.0000e+00,  1.1007e-02,  3.6992e-02,\n",
       "           1.2336e-03, -7.9735e-03,  1.1992e-02, -3.8169e-04, -1.2752e-02,\n",
       "          -7.7527e-06,  9.8871e-03,  1.8775e-03,  5.7725e-04, -2.0295e-02,\n",
       "           6.8828e-04,  7.7397e-04, -1.4658e-04,  3.4864e-04,  3.5224e-04,\n",
       "           1.4368e-05, -2.0024e-02,  2.1859e-06,  1.1851e-02,  7.8261e-05,\n",
       "           2.6967e-02,  1.4818e-02, -3.0331e-03,  6.7634e-03,  1.3781e-05,\n",
       "          -7.4500e-05, -3.7978e-02,  1.2885e-03,  5.5550e-05, -2.6813e-03,\n",
       "          -5.1132e-04, -9.1163e-03,  6.2532e-04], device='cuda:0'),\n",
       "  tensor([ 2.7032e-04,  1.2295e-01,  2.4824e-03, -3.3111e-05, -6.6097e-03,\n",
       "          -1.2360e-02, -1.2531e-04,  2.1068e-02,  9.7038e-05,  3.0454e-02,\n",
       "           5.2307e-02,  3.7830e-02, -2.1957e-03,  2.5808e-02,  4.0000e-02,\n",
       "          -9.7653e-02,  1.1162e-02,  2.4292e-03, -2.8523e-02,  4.2927e-04,\n",
       "          -5.3176e-04, -6.4170e-03, -2.2328e-04,  8.4180e-02,  3.2274e-02,\n",
       "           6.4587e-02,  5.6470e-04,  6.7737e-02, -2.8666e-03, -1.1676e-01,\n",
       "          -1.0680e-02, -8.1146e-04,  3.5012e-03, -2.3393e-02, -1.6727e-02,\n",
       "           1.6173e-02, -2.1650e-04,  4.1545e-03,  9.4324e-03,  2.5326e-02,\n",
       "           3.5007e-02,  3.5036e-02, -8.4238e-02, -3.5360e-04,  5.6262e-02,\n",
       "          -2.6210e-03,  1.5499e-02,  2.8633e-02,  2.2442e-02, -3.5633e-02,\n",
       "           1.1385e-01,  9.7987e-04,  6.4890e-03, -2.1426e-02,  3.8114e-02,\n",
       "           2.0756e-02,  4.5673e-02, -1.7815e-02,  4.6713e-03, -1.4570e-03,\n",
       "          -1.5395e-03,  1.3258e-02,  4.9226e-04,  9.4478e-03, -5.6744e-02,\n",
       "          -8.2691e-02, -1.1525e-02,  1.0416e-03,  1.5351e-02,  3.0727e-02,\n",
       "          -1.5871e-02,  7.4909e-03,  3.6281e-03, -5.6297e-02,  1.1880e-03,\n",
       "          -9.9639e-03, -6.0882e-02, -1.2264e-02,  8.3712e-04,  1.9565e-02,\n",
       "           6.8181e-02,  4.9936e-02, -4.9214e-02,  1.1349e-02, -1.3193e-03,\n",
       "           3.6256e-02, -1.6228e-02,  1.3209e-01,  2.4236e-02,  3.0570e-03,\n",
       "           2.1992e-02,  2.3746e-03,  0.0000e+00,  3.2642e-02,  7.9899e-02,\n",
       "           1.3160e-03, -2.8489e-02,  3.7500e-02,  3.4189e-03, -5.4985e-02,\n",
       "          -1.7273e-04,  7.0400e-02,  6.8984e-03, -1.5015e-02, -4.8336e-02,\n",
       "           5.3050e-03,  8.1653e-03, -1.4597e-03, -4.3872e-04,  4.1625e-03,\n",
       "           3.7420e-03, -5.3855e-02, -5.0010e-05,  4.8546e-02,  2.9032e-04,\n",
       "           8.7903e-02,  3.6240e-02, -3.0757e-02,  1.1222e-03,  3.5347e-04,\n",
       "          -7.3332e-04, -6.7137e-02,  1.3818e-02,  3.0237e-04, -1.5050e-02,\n",
       "          -4.5198e-03, -6.2477e-02,  7.4564e-03], device='cuda:0'),\n",
       "  tensor([[[[ 5.6443e-07,  1.7990e-06,  1.1369e-12],\n",
       "            [-3.4679e-07, -8.9218e-08, -5.8363e-08],\n",
       "            [-3.4029e-07,  1.2084e-06,  1.3075e-06]],\n",
       "  \n",
       "           [[ 3.7990e-03,  3.2618e-03,  2.9949e-03],\n",
       "            [ 2.7311e-03,  2.4840e-03,  1.7877e-03],\n",
       "            [ 2.6395e-03,  2.3658e-03,  2.3287e-03]],\n",
       "  \n",
       "           [[-1.7372e-05,  1.1414e-04,  2.2914e-04],\n",
       "            [ 1.8043e-04,  3.5720e-04,  1.4170e-04],\n",
       "            [ 8.0403e-05,  1.8594e-04,  7.2490e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 6.5615e-05,  4.1347e-05,  1.4916e-04],\n",
       "            [ 5.6862e-05,  7.4343e-05,  4.2688e-06],\n",
       "            [ 1.9307e-04,  1.2970e-04,  1.3508e-04]],\n",
       "  \n",
       "           [[ 3.3149e-03,  3.3939e-03,  3.5585e-03],\n",
       "            [ 6.9020e-04,  8.5094e-04,  8.8284e-04],\n",
       "            [ 2.8755e-04,  2.9519e-04,  3.6666e-04]],\n",
       "  \n",
       "           [[ 4.2465e-05,  2.3319e-04,  8.2853e-05],\n",
       "            [ 1.1726e-04,  1.3455e-04,  1.2893e-04],\n",
       "            [-4.6355e-05,  9.2138e-05,  9.2303e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.5466e-11,  1.0914e-11, -3.8654e-12],\n",
       "            [-4.8907e-06, -4.9192e-06, -2.5862e-06],\n",
       "            [-6.5875e-07, -1.5522e-06,  3.0962e-07]],\n",
       "  \n",
       "           [[ 3.8739e-03,  3.7855e-03,  3.9743e-03],\n",
       "            [ 3.6127e-03,  3.3843e-03,  3.4529e-03],\n",
       "            [ 3.1039e-03,  3.2017e-03,  3.2172e-03]],\n",
       "  \n",
       "           [[ 1.3207e-04,  2.9881e-04,  2.1830e-04],\n",
       "            [ 8.5076e-05,  2.6021e-04,  1.4474e-04],\n",
       "            [ 2.2429e-04,  1.6326e-04,  1.3761e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.1099e-05,  6.7061e-05,  5.9665e-05],\n",
       "            [-2.6693e-05, -5.6055e-05, -5.3188e-05],\n",
       "            [ 5.9721e-05,  3.3351e-05,  5.4841e-05]],\n",
       "  \n",
       "           [[ 2.3003e-03,  1.7439e-03,  1.6329e-03],\n",
       "            [ 2.6599e-03,  2.4060e-03,  1.9721e-03],\n",
       "            [ 2.9360e-03,  2.7861e-03,  2.8229e-03]],\n",
       "  \n",
       "           [[ 1.7164e-04,  8.8787e-06,  6.7999e-05],\n",
       "            [-9.1893e-05,  6.8472e-05,  1.1258e-04],\n",
       "            [ 1.0086e-04,  1.9130e-04,  2.5130e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 7.1061e-07, -2.8422e-14, -3.5527e-13],\n",
       "            [ 2.5077e-06, -2.4143e-07, -4.0415e-06],\n",
       "            [ 4.6853e-07,  4.4815e-07, -3.6948e-13]],\n",
       "  \n",
       "           [[-6.1385e-04, -2.7035e-04,  3.8187e-04],\n",
       "            [-2.2685e-04,  6.7083e-04,  7.5351e-04],\n",
       "            [-2.9964e-04,  3.8301e-05,  2.0663e-04]],\n",
       "  \n",
       "           [[-1.1965e-05,  1.5868e-05, -2.1559e-05],\n",
       "            [ 8.3486e-05, -1.5180e-05,  7.4496e-05],\n",
       "            [ 8.2011e-05,  8.8818e-05,  6.8210e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.2636e-05,  1.4842e-04,  1.8229e-04],\n",
       "            [ 3.4010e-05,  1.2821e-05,  1.0355e-04],\n",
       "            [ 2.6989e-04, -4.4676e-05,  8.9146e-05]],\n",
       "  \n",
       "           [[-5.5481e-04, -1.8755e-04,  4.1683e-04],\n",
       "            [-9.6951e-04, -3.2763e-04,  1.6297e-04],\n",
       "            [-6.5281e-04,  3.6116e-04,  9.8464e-04]],\n",
       "  \n",
       "           [[-3.1902e-05, -2.8856e-06, -6.3742e-07],\n",
       "            [-2.9014e-05,  5.8259e-06,  6.4631e-06],\n",
       "            [ 6.4907e-05,  7.3321e-05, -3.7533e-06]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 4.0108e-07,  3.2819e-09,  4.0494e-07],\n",
       "            [-7.5819e-07, -1.1053e-06,  2.4153e-07],\n",
       "            [-1.5679e-06, -2.6850e-06,  4.3358e-06]],\n",
       "  \n",
       "           [[ 1.2795e-02,  1.2222e-02,  1.2329e-02],\n",
       "            [ 1.0415e-02,  1.1304e-02,  1.2267e-02],\n",
       "            [ 1.1334e-02,  1.1574e-02,  1.1996e-02]],\n",
       "  \n",
       "           [[ 4.3505e-04,  2.6582e-04,  3.0393e-04],\n",
       "            [ 2.0762e-04,  2.2081e-04,  2.1659e-04],\n",
       "            [ 3.0757e-04,  2.9209e-04, -4.1357e-06]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.7494e-05, -1.4798e-05,  7.7544e-05],\n",
       "            [ 1.0312e-04,  1.3684e-04,  2.9575e-04],\n",
       "            [ 1.0547e-04,  1.0499e-04, -8.1976e-05]],\n",
       "  \n",
       "           [[ 1.1993e-02,  1.1333e-02,  1.1246e-02],\n",
       "            [ 9.8076e-03,  9.1925e-03,  9.4794e-03],\n",
       "            [ 7.4409e-03,  8.1516e-03,  8.2775e-03]],\n",
       "  \n",
       "           [[ 4.4676e-04,  1.4718e-04,  5.6369e-05],\n",
       "            [ 1.7361e-05,  2.8854e-04,  1.4553e-04],\n",
       "            [ 3.5500e-04,  3.6056e-04,  4.5045e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-4.5787e-07,  4.3498e-07, -1.1131e-07],\n",
       "            [-3.1778e-06, -6.7827e-06, -3.8857e-06],\n",
       "            [ 1.3518e-05,  6.7343e-06, -5.1966e-06]],\n",
       "  \n",
       "           [[ 6.6313e-03,  7.4155e-03,  7.3983e-03],\n",
       "            [ 5.5385e-03,  5.8953e-03,  6.5393e-03],\n",
       "            [ 6.2324e-03,  6.7626e-03,  6.6674e-03]],\n",
       "  \n",
       "           [[-2.8439e-04, -4.9873e-04, -4.5376e-04],\n",
       "            [-7.3905e-04, -6.5715e-04, -6.0080e-04],\n",
       "            [-3.5438e-04, -3.5547e-04, -3.2707e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-4.2270e-05, -8.7753e-05,  7.8999e-06],\n",
       "            [ 1.5323e-06, -1.7604e-04,  4.9201e-05],\n",
       "            [ 2.1393e-04,  2.6331e-04, -8.8831e-05]],\n",
       "  \n",
       "           [[ 3.2525e-02,  3.3114e-02,  3.3185e-02],\n",
       "            [ 3.2483e-02,  3.2191e-02,  3.3663e-02],\n",
       "            [ 2.9426e-02,  3.0227e-02,  3.1401e-02]],\n",
       "  \n",
       "           [[-7.4956e-04, -6.3653e-04, -5.0414e-04],\n",
       "            [-6.5660e-04, -7.7444e-04, -5.7322e-04],\n",
       "            [-7.7104e-04, -6.4733e-04, -3.8980e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 7.4916e-07, -8.6137e-07, -7.5225e-07],\n",
       "            [ 3.7566e-06,  4.6611e-07, -3.0254e-06],\n",
       "            [ 1.9515e-06,  1.3798e-06,  4.2949e-06]],\n",
       "  \n",
       "           [[ 8.0754e-02,  8.0847e-02,  8.1289e-02],\n",
       "            [ 8.0585e-02,  8.0890e-02,  7.9676e-02],\n",
       "            [ 7.6659e-02,  7.7788e-02,  7.7094e-02]],\n",
       "  \n",
       "           [[ 1.3768e-03,  1.4301e-03,  1.0657e-03],\n",
       "            [ 1.4269e-03,  1.0819e-03,  1.3092e-03],\n",
       "            [ 1.4496e-03,  1.4548e-03,  1.2002e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.1972e-04,  6.1033e-04,  8.2084e-04],\n",
       "            [ 1.0037e-03,  8.3293e-04,  7.8868e-04],\n",
       "            [ 1.1694e-03,  1.1491e-03,  1.0302e-03]],\n",
       "  \n",
       "           [[ 9.1087e-02,  9.2317e-02,  9.1374e-02],\n",
       "            [ 8.9478e-02,  9.1772e-02,  9.1845e-02],\n",
       "            [ 8.5843e-02,  8.7740e-02,  8.8529e-02]],\n",
       "  \n",
       "           [[ 1.2143e-03,  1.4613e-03,  1.5778e-03],\n",
       "            [ 1.6158e-03,  1.7659e-03,  1.7606e-03],\n",
       "            [ 1.3474e-03,  1.5815e-03,  1.8253e-03]]]], device='cuda:0'),\n",
       "  tensor([-1.7447e-04, -1.4335e-03,  3.0818e-05, -6.7712e-04,  1.1290e-03,\n",
       "          -7.6102e-03, -1.0567e-03,  2.1982e-02, -2.2569e-02, -1.7203e-04,\n",
       "           5.1920e-03, -5.9994e-02, -3.3504e-02,  7.7299e-03,  1.2014e-03,\n",
       "           4.9948e-02, -2.2609e-04, -4.1155e-03, -7.5358e-03,  4.7882e-03,\n",
       "           5.0379e-03,  5.4881e-03, -2.3260e-02,  4.0242e-04, -1.3191e-04,\n",
       "          -9.3652e-03,  2.2912e-04, -4.0130e-02,  7.7451e-03,  2.9645e-02,\n",
       "           4.2512e-03, -3.2482e-05,  1.1012e-03, -1.2823e-02, -1.8866e-03,\n",
       "           6.1215e-02,  1.6245e-02, -9.3212e-06, -2.0785e-04, -1.7107e-02,\n",
       "           7.6278e-03,  8.3627e-03,  2.6066e-04, -1.9957e-03, -4.4437e-03,\n",
       "           6.3454e-03,  2.6784e-02,  2.7032e-05,  1.6622e-03,  1.0067e-02,\n",
       "          -5.8782e-05,  7.3958e-02,  1.2561e-02, -1.4057e-02,  3.2287e-03,\n",
       "           1.8550e-03,  1.7886e-02, -7.5527e-03,  2.7203e-04,  2.4261e-03,\n",
       "           7.5498e-03,  4.8404e-03, -1.2218e-03, -2.6539e-03,  7.8357e-04,\n",
       "          -1.9092e-02,  3.9099e-03,  1.3146e-02, -4.3277e-03,  1.7054e-03,\n",
       "           3.7478e-03, -8.1823e-03, -4.2209e-03,  1.0821e-03,  3.0137e-03,\n",
       "           7.6979e-03, -2.1570e-07,  3.6079e-02, -3.9914e-03, -9.1287e-03,\n",
       "           1.5250e-02, -5.5484e-02,  5.0438e-03, -6.8759e-04, -8.5496e-03,\n",
       "          -2.1255e-02,  7.1464e-04, -9.9295e-05,  1.6502e-02,  8.2657e-03,\n",
       "           3.3041e-03,  1.4704e-02, -3.2105e-04, -1.0889e-04, -2.2297e-02,\n",
       "          -3.9697e-02,  7.1617e-02,  3.5281e-03, -2.8941e-03,  5.5192e-02,\n",
       "          -3.8936e-04, -1.9935e-02, -1.0780e-03,  1.0753e-02,  2.4183e-02,\n",
       "           4.7267e-04,  6.1136e-02, -1.3067e-02,  6.6812e-04, -6.7446e-03,\n",
       "          -2.6376e-03,  2.5184e-02, -4.0573e-02,  1.1884e-04,  1.3044e-04,\n",
       "          -6.8391e-04, -3.9811e-03,  1.3861e-02,  2.2612e-02, -6.4270e-05,\n",
       "          -2.9349e-03,  4.9322e-03, -5.4584e-03, -1.6424e-03, -9.9301e-03,\n",
       "           1.7891e-03, -3.1814e-03,  6.7978e-02], device='cuda:0'),\n",
       "  tensor([ 7.9986e-03,  7.8803e-03, -1.9883e-03, -8.8970e-03,  1.5630e-03,\n",
       "          -5.8635e-02, -1.5116e-02,  3.6977e-02, -9.0064e-02, -1.6235e-03,\n",
       "          -7.9923e-03, -8.5180e-02, -1.0267e-01,  7.4925e-02,  1.0587e-02,\n",
       "           1.1388e-01,  1.2645e-03, -5.0445e-02,  1.6767e-02, -3.5363e-02,\n",
       "           3.2943e-02, -2.0839e-02, -5.3246e-02,  2.9306e-02, -4.6542e-03,\n",
       "           8.1356e-02,  8.2763e-04,  1.2259e-01, -1.9277e-02,  7.9625e-02,\n",
       "           6.6500e-04,  6.7587e-03, -2.1099e-03, -4.1359e-02, -7.3978e-03,\n",
       "           4.5416e-02,  4.9887e-02, -3.3994e-05,  5.4748e-04,  3.5278e-02,\n",
       "           3.1531e-02,  1.8958e-02,  1.9108e-03, -1.1762e-02,  2.0535e-02,\n",
       "          -3.2905e-02,  1.0506e-01,  3.0728e-02,  5.0552e-02, -4.4952e-02,\n",
       "          -9.8277e-04,  8.1030e-02, -1.0849e-02, -8.6536e-02, -9.2090e-03,\n",
       "          -7.4201e-03,  6.2430e-02, -4.6241e-02,  9.6228e-04, -1.4562e-02,\n",
       "           2.7147e-02,  1.0004e-02, -1.0110e-02, -2.6896e-02,  1.1530e-02,\n",
       "          -4.6513e-02,  1.0860e-02,  2.3343e-02, -2.0142e-02, -1.1694e-02,\n",
       "           1.8883e-02,  7.0618e-02,  2.2428e-02,  1.0794e-02,  2.2242e-02,\n",
       "           3.8454e-02, -4.7758e-05,  7.6698e-02, -4.0858e-02,  7.0271e-02,\n",
       "           1.7153e-02, -9.3270e-02,  5.3752e-02,  4.3490e-02,  4.0571e-02,\n",
       "          -6.0210e-02,  3.3944e-03, -1.8200e-02,  1.0765e-01, -1.8441e-02,\n",
       "          -1.0990e-02,  4.3873e-02, -2.3168e-03,  3.0248e-02,  9.1163e-02,\n",
       "          -5.4835e-02,  7.1522e-02, -4.1344e-03, -9.8981e-03,  1.7673e-01,\n",
       "          -5.0460e-03, -1.0753e-01,  3.5627e-03, -2.6522e-02,  3.8434e-02,\n",
       "           7.5566e-03,  6.8282e-02, -2.0226e-02, -5.8680e-02,  1.3742e-02,\n",
       "          -2.0172e-02,  3.7763e-02,  9.6346e-02, -5.3045e-03,  1.2960e-05,\n",
       "          -9.7532e-03, -3.1255e-02,  2.5598e-02,  5.0892e-02, -1.0210e-03,\n",
       "          -2.7692e-02,  7.9093e-03, -2.9458e-02, -1.8408e-02,  4.7378e-02,\n",
       "           2.1829e-02,  8.6965e-04,  1.3336e-01], device='cuda:0'),\n",
       "  tensor([[[[ 3.3631e-05, -7.6563e-06, -3.1364e-06],\n",
       "            [ 6.9036e-05,  1.1136e-04,  9.4395e-05],\n",
       "            [ 1.1052e-04,  7.9332e-05,  7.2478e-05]],\n",
       "  \n",
       "           [[ 3.6803e-05, -4.1696e-07,  6.7487e-05],\n",
       "            [ 1.7544e-05,  6.7710e-05,  1.0322e-04],\n",
       "            [ 9.2209e-05,  7.0295e-05,  4.1809e-05]],\n",
       "  \n",
       "           [[-6.9621e-05, -6.5548e-05, -1.3103e-05],\n",
       "            [ 9.7212e-07, -3.0602e-05,  1.6301e-05],\n",
       "            [ 2.8315e-05,  3.8893e-05,  2.5791e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.5369e-04,  1.4474e-04,  3.2389e-05],\n",
       "            [ 6.0007e-05,  4.1676e-05,  4.0560e-05],\n",
       "            [ 7.0953e-05,  1.4014e-04,  6.6818e-05]],\n",
       "  \n",
       "           [[ 7.6121e-04,  8.3492e-04,  1.0244e-03],\n",
       "            [ 6.3946e-04,  6.4381e-04,  9.2909e-04],\n",
       "            [ 7.5844e-04,  8.3172e-04,  9.6912e-04]],\n",
       "  \n",
       "           [[ 1.1275e-03,  1.1006e-03,  1.1415e-03],\n",
       "            [ 1.0109e-03,  9.1436e-04,  1.1710e-03],\n",
       "            [ 8.0759e-04,  5.5523e-04,  6.5893e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-5.4701e-04, -7.0653e-04, -5.8049e-04],\n",
       "            [-8.8636e-04, -4.7339e-04, -3.3930e-04],\n",
       "            [-8.0062e-04, -9.2340e-04, -7.1578e-04]],\n",
       "  \n",
       "           [[-9.5458e-04, -5.6798e-04, -8.8654e-04],\n",
       "            [-9.6981e-04, -1.0634e-03, -9.9910e-04],\n",
       "            [-7.8991e-04, -1.1882e-03, -1.1514e-03]],\n",
       "  \n",
       "           [[ 6.0635e-04,  3.8636e-04,  7.4340e-04],\n",
       "            [ 1.1479e-03,  1.1680e-03,  1.0028e-03],\n",
       "            [ 1.7835e-03,  1.2536e-03,  1.0730e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.5002e-03, -2.6835e-03, -2.7034e-03],\n",
       "            [-2.6739e-03, -2.4507e-03, -2.4126e-03],\n",
       "            [-2.1135e-03, -2.2802e-03, -1.9511e-03]],\n",
       "  \n",
       "           [[-2.2845e-02, -2.3002e-02, -2.3203e-02],\n",
       "            [-2.3645e-02, -2.4009e-02, -2.4912e-02],\n",
       "            [-2.5701e-02, -2.6382e-02, -2.6290e-02]],\n",
       "  \n",
       "           [[-2.4531e-02, -2.4986e-02, -2.4535e-02],\n",
       "            [-2.7026e-02, -2.6702e-02, -2.7327e-02],\n",
       "            [-2.7769e-02, -2.8296e-02, -2.8897e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.8009e-03, -1.6776e-03, -1.6428e-03],\n",
       "            [-1.0345e-03, -6.9207e-04, -9.5294e-04],\n",
       "            [-9.5504e-04, -9.2212e-04, -5.5120e-04]],\n",
       "  \n",
       "           [[-6.0600e-04, -4.4118e-04, -4.9321e-04],\n",
       "            [-5.3939e-04, -4.0695e-04, -5.1560e-04],\n",
       "            [-5.7759e-04, -6.1872e-04, -8.3500e-04]],\n",
       "  \n",
       "           [[-3.1804e-03, -3.1734e-03, -3.2062e-03],\n",
       "            [-2.7356e-03, -2.3707e-03, -2.6555e-03],\n",
       "            [-2.0873e-03, -2.1155e-03, -2.1244e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.8542e-03, -1.2095e-03, -1.7117e-03],\n",
       "            [-2.2054e-03, -2.0183e-03, -1.7764e-03],\n",
       "            [-2.1352e-03, -1.9265e-03, -1.7459e-03]],\n",
       "  \n",
       "           [[-3.1512e-02, -3.0907e-02, -3.0252e-02],\n",
       "            [-2.8593e-02, -2.8337e-02, -2.8361e-02],\n",
       "            [-2.7346e-02, -2.7235e-02, -2.6993e-02]],\n",
       "  \n",
       "           [[-2.9670e-02, -2.9223e-02, -2.9086e-02],\n",
       "            [-3.1276e-02, -3.1138e-02, -3.0909e-02],\n",
       "            [-3.2270e-02, -3.2523e-02, -3.2420e-02]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-3.2987e-04, -2.9266e-04, -2.0023e-04],\n",
       "            [ 1.2272e-04,  1.3688e-04,  2.4438e-04],\n",
       "            [ 2.4880e-04,  3.0085e-05,  2.3053e-04]],\n",
       "  \n",
       "           [[-2.8738e-04, -2.1627e-04, -1.5504e-04],\n",
       "            [-2.7286e-04, -2.5906e-04, -1.5824e-04],\n",
       "            [ 1.4827e-05, -1.1904e-04, -1.6710e-04]],\n",
       "  \n",
       "           [[-4.1569e-04, -3.9841e-04, -1.4982e-04],\n",
       "            [-8.1011e-05, -3.6990e-05, -7.4323e-05],\n",
       "            [-2.5329e-04, -2.4096e-04, -1.7594e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.3714e-04, -5.5788e-04, -5.4169e-04],\n",
       "            [-4.9655e-04, -9.3276e-04, -5.8707e-04],\n",
       "            [-7.5102e-04, -9.0450e-04, -3.0307e-04]],\n",
       "  \n",
       "           [[-4.5688e-03, -5.6917e-03, -6.3851e-03],\n",
       "            [-4.3773e-03, -5.8880e-03, -6.0951e-03],\n",
       "            [-3.3993e-03, -4.8582e-03, -5.3778e-03]],\n",
       "  \n",
       "           [[-5.4987e-03, -5.8497e-03, -6.9922e-03],\n",
       "            [-5.5209e-03, -5.9120e-03, -7.2063e-03],\n",
       "            [-6.0392e-03, -6.5409e-03, -7.2857e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.8863e-04, -5.8251e-04, -3.6448e-04],\n",
       "            [-1.9155e-03, -2.1451e-03, -1.9765e-03],\n",
       "            [-1.1770e-03, -9.6784e-04, -1.2929e-03]],\n",
       "  \n",
       "           [[-5.1424e-04, -6.8507e-04, -4.3022e-04],\n",
       "            [-6.9669e-04, -4.6194e-04, -4.4050e-04],\n",
       "            [-5.3112e-04, -5.3387e-04, -4.9112e-04]],\n",
       "  \n",
       "           [[-1.9230e-04, -6.9902e-04, -6.2647e-04],\n",
       "            [-2.2972e-04, -5.2080e-04, -6.5279e-04],\n",
       "            [-4.0833e-04, -3.5919e-04, -2.2167e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.3670e-03, -1.3226e-03, -1.3810e-03],\n",
       "            [-9.5882e-04, -1.3134e-03, -1.2445e-03],\n",
       "            [-1.7314e-03, -1.5331e-03, -1.6647e-03]],\n",
       "  \n",
       "           [[-1.7296e-02, -1.6559e-02, -1.6595e-02],\n",
       "            [-1.9480e-02, -1.9141e-02, -1.9286e-02],\n",
       "            [-2.1815e-02, -2.2089e-02, -2.2310e-02]],\n",
       "  \n",
       "           [[-1.8693e-02, -1.9314e-02, -1.8753e-02],\n",
       "            [-1.9939e-02, -2.0685e-02, -2.0329e-02],\n",
       "            [-2.0253e-02, -2.0413e-02, -2.0253e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.9776e-04,  3.5029e-04,  4.0552e-04],\n",
       "            [ 1.4168e-04,  4.7018e-04,  6.6029e-04],\n",
       "            [ 3.3031e-04,  4.6930e-04,  4.3240e-04]],\n",
       "  \n",
       "           [[ 9.5218e-04,  1.0286e-03,  1.1002e-03],\n",
       "            [ 8.3310e-04,  1.0022e-03,  9.7257e-04],\n",
       "            [ 9.3583e-04,  8.1559e-04,  7.8765e-04]],\n",
       "  \n",
       "           [[ 4.1175e-04,  1.6213e-04, -1.5937e-05],\n",
       "            [-2.5885e-05, -1.9398e-04, -3.3208e-04],\n",
       "            [-3.1702e-04, -4.4715e-04, -4.5690e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.9730e-03,  1.5971e-03,  1.6882e-03],\n",
       "            [ 1.6536e-03,  1.4841e-03,  1.8865e-03],\n",
       "            [ 1.5077e-03,  1.7458e-03,  1.5352e-03]],\n",
       "  \n",
       "           [[ 1.8041e-02,  1.7967e-02,  1.7392e-02],\n",
       "            [ 1.8363e-02,  1.8610e-02,  1.7987e-02],\n",
       "            [ 1.8677e-02,  1.8733e-02,  1.8420e-02]],\n",
       "  \n",
       "           [[ 2.0788e-02,  2.1059e-02,  2.0336e-02],\n",
       "            [ 2.0454e-02,  2.0161e-02,  2.0246e-02],\n",
       "            [ 2.1746e-02,  2.2109e-02,  2.1415e-02]]]], device='cuda:0'),\n",
       "  tensor([ 1.0339e-04, -6.8124e-03, -6.2675e-03,  6.9647e-03,  3.5215e-02,\n",
       "          -1.0422e-03, -6.4147e-05, -3.7634e-05,  5.9319e-03,  1.3960e-03,\n",
       "           1.6912e-02,  7.4613e-03, -2.8548e-03,  0.0000e+00,  1.5411e-03,\n",
       "           3.7962e-03,  1.3503e-03,  0.0000e+00,  2.4660e-02, -1.1323e-03,\n",
       "          -2.2710e-03, -6.0220e-02, -4.8802e-03, -1.4569e-05,  4.3153e-03,\n",
       "          -1.5460e-05,  1.8951e-05, -1.5151e-03,  8.2254e-04,  7.0616e-04,\n",
       "          -2.7714e-03,  3.5982e-02,  2.1265e-03,  2.5850e-02, -6.5503e-05,\n",
       "          -4.8396e-04, -5.1984e-04,  4.8571e-02,  5.2833e-03, -1.6440e-02,\n",
       "           1.4441e-03,  1.8458e-04, -5.8575e-03,  6.3073e-04,  0.0000e+00,\n",
       "           4.2279e-04,  5.1752e-04, -1.7951e-02, -7.1572e-03, -4.7534e-03,\n",
       "          -1.3431e-03, -4.0517e-04,  2.3307e-02,  9.9966e-03, -2.5323e-03,\n",
       "           4.8886e-03,  5.0053e-06,  0.0000e+00,  3.7206e-05, -1.1856e-04,\n",
       "           3.8514e-05, -1.3424e-02,  3.5898e-05, -2.6687e-04,  2.9113e-04,\n",
       "           2.3084e-03,  5.9433e-03, -5.1900e-04, -8.9900e-06,  2.3022e-02,\n",
       "          -1.4222e-03,  3.0352e-02,  3.2359e-02, -1.2222e-04, -2.3603e-03,\n",
       "          -1.2276e-02, -7.2052e-02,  2.4466e-04,  1.1439e-03, -3.1435e-05,\n",
       "           3.1010e-02,  1.8264e-02,  2.5920e-04, -6.5694e-04,  9.0165e-06,\n",
       "          -2.7450e-02,  3.0254e-02,  1.3572e-04,  1.4455e-03, -1.0885e-02,\n",
       "          -1.4901e-02,  3.7692e-02,  1.1767e-02,  5.1380e-04,  1.9685e-03,\n",
       "          -4.5802e-03, -1.4755e-02,  3.7818e-04, -1.2926e-02, -1.4508e-02,\n",
       "          -8.9071e-07,  4.8775e-03, -5.6301e-04,  3.0389e-05, -4.5273e-04,\n",
       "           1.3862e-02,  2.6485e-03,  1.5706e-02,  2.1020e-03, -8.2898e-02,\n",
       "          -4.7327e-03, -8.3760e-04, -1.4433e-02,  7.2850e-03,  1.8559e-03,\n",
       "           1.0969e-02, -8.4384e-05, -5.3667e-03, -5.6179e-05, -1.6802e-03,\n",
       "           7.9689e-03,  1.5096e-04,  1.2408e-02, -2.8763e-03, -1.2146e-02,\n",
       "          -1.1425e-04,  1.2014e-04, -3.0425e-03,  1.7316e-04, -5.6465e-03,\n",
       "           3.9486e-02, -3.1996e-04, -3.9080e-03, -9.5013e-03,  1.3816e-03,\n",
       "           2.1560e-02, -2.7459e-02, -2.8303e-03,  1.9854e-05, -3.5503e-06,\n",
       "           6.6413e-03, -2.3377e-03,  4.5224e-05,  4.0980e-06, -1.7154e-04,\n",
       "           1.0648e-03,  2.4662e-05, -6.2850e-04,  7.5121e-07,  1.4138e-04,\n",
       "          -1.6146e-05, -5.2718e-04,  2.2244e-03, -6.6448e-04,  1.4651e-02,\n",
       "           2.8307e-03, -4.9388e-03,  1.4456e-02,  6.8165e-03, -6.8559e-03,\n",
       "           2.5203e-03, -1.3131e-03, -7.9231e-04, -6.4855e-04, -7.8689e-03,\n",
       "          -3.5843e-03,  2.4128e-05, -3.7028e-02,  6.6987e-02,  2.2802e-05,\n",
       "           1.0365e-03, -3.4025e-04,  2.3057e-07,  1.1023e-04,  3.9685e-02,\n",
       "           4.5521e-02, -1.3054e-02,  4.3624e-05,  5.7520e-05,  1.8039e-03,\n",
       "           1.3262e-02,  6.3169e-03, -5.0125e-05,  4.6549e-02,  1.0791e-02,\n",
       "          -9.4226e-03,  2.6741e-02,  1.6857e-02,  7.6021e-04, -2.7560e-02,\n",
       "           4.2238e-02,  1.3907e-05,  3.6743e-05,  2.4926e-02, -1.7748e-02,\n",
       "           7.7493e-03, -1.6453e-02, -3.3389e-03, -7.2519e-03, -2.3006e-03,\n",
       "           1.1245e-02,  1.7583e-02, -3.5806e-03,  4.5258e-05,  2.1714e-02,\n",
       "           1.2478e-02,  9.3156e-03, -1.2905e-04,  1.1268e-02,  3.5039e-02,\n",
       "          -4.9913e-04,  7.3488e-04, -8.8244e-06, -2.1383e-05,  2.7357e-02,\n",
       "          -9.7232e-03,  3.3363e-05, -4.2174e-05, -2.6334e-04,  2.4136e-05,\n",
       "           2.3333e-03,  3.1300e-02,  4.4852e-02, -2.7801e-05, -3.5628e-02,\n",
       "           1.9193e-02,  3.4241e-05,  3.1315e-04, -2.9759e-02,  4.7730e-03,\n",
       "           5.7581e-03,  2.2861e-04,  2.9017e-02, -6.4444e-03,  2.5892e-03,\n",
       "           5.2056e-03,  2.0537e-03,  9.7234e-03, -9.7488e-03,  7.1638e-05,\n",
       "          -6.8162e-03, -2.6108e-06, -1.1889e-03, -1.9783e-04,  8.2119e-03,\n",
       "          -2.7521e-03,  1.9362e-02,  6.2222e-04,  1.6230e-03,  2.5984e-06,\n",
       "          -1.8070e-04,  9.6189e-03, -2.0064e-02, -1.5526e-03, -6.0762e-03,\n",
       "           5.8566e-03], device='cuda:0'),\n",
       "  tensor([ 1.4292e-03, -3.2112e-02, -2.7262e-02,  3.4528e-02,  5.9585e-02,\n",
       "          -1.1644e-02, -3.4600e-04,  5.6624e-04,  2.1996e-02,  2.0344e-03,\n",
       "           4.7679e-02,  1.5202e-02, -2.1912e-02,  0.0000e+00,  1.7225e-02,\n",
       "           2.3626e-02,  6.1392e-03,  0.0000e+00,  5.2192e-02, -1.1293e-02,\n",
       "          -1.5771e-02, -1.0647e-01, -2.3992e-02, -1.2169e-03,  1.8835e-02,\n",
       "          -3.1116e-04, -1.0464e-03, -1.1039e-02,  4.0386e-03,  5.3446e-04,\n",
       "          -5.4446e-03,  5.6027e-02,  7.4025e-03,  4.6602e-02, -3.0184e-03,\n",
       "           2.0779e-04, -6.4143e-03,  9.7041e-02,  2.0286e-02, -5.1361e-02,\n",
       "           9.0087e-03,  1.5039e-03, -3.0717e-02, -1.8167e-02,  0.0000e+00,\n",
       "           5.1486e-03,  7.4031e-03, -2.8625e-02, -3.4309e-02, -2.5808e-02,\n",
       "          -6.4806e-03,  9.0760e-04,  3.2089e-02,  5.3920e-02, -1.4968e-02,\n",
       "           3.4653e-02, -5.5294e-06,  0.0000e+00,  5.3972e-04, -2.5712e-03,\n",
       "           6.3955e-04, -5.1522e-02,  2.3931e-04, -1.7190e-05,  3.1064e-03,\n",
       "           1.0111e-02,  2.2172e-02, -3.3885e-03,  1.3465e-04,  4.9947e-02,\n",
       "          -1.7158e-04,  7.9872e-02,  7.0981e-02, -4.6613e-03, -2.0245e-02,\n",
       "          -2.1348e-02, -8.4729e-02,  1.9789e-03,  5.6500e-04, -3.5837e-04,\n",
       "           4.0812e-02,  5.8792e-02,  3.4852e-03, -6.0106e-03,  7.2349e-04,\n",
       "          -4.2873e-02,  2.4563e-02,  1.8113e-03,  1.2555e-02, -1.7260e-02,\n",
       "          -5.6960e-02,  6.3158e-02,  1.5923e-02,  4.2326e-03,  1.5553e-02,\n",
       "          -1.7874e-02, -2.2311e-02,  1.5237e-03, -1.3485e-02, -3.4406e-02,\n",
       "           4.8906e-05,  3.3608e-02, -5.3962e-03,  3.6246e-04, -5.6255e-03,\n",
       "           4.4862e-02,  1.8487e-02,  2.6075e-02,  2.5904e-02, -1.3806e-01,\n",
       "          -3.5663e-02, -6.5731e-03, -5.0299e-02, -6.4435e-03,  1.8990e-02,\n",
       "           4.7067e-02, -6.6075e-04, -3.0675e-02, -7.5208e-04, -2.2169e-02,\n",
       "           1.2824e-02,  9.9794e-04,  2.6919e-02, -1.0915e-03, -2.5965e-02,\n",
       "          -1.6588e-04,  1.0095e-03, -1.6287e-02,  1.5971e-03, -2.0921e-02,\n",
       "           9.3488e-02,  2.2777e-04, -5.1646e-03, -4.8698e-02,  7.8697e-03,\n",
       "           4.8033e-02, -4.8348e-02, -1.9812e-02,  3.3454e-04, -1.0128e-04,\n",
       "           2.8444e-02, -9.4848e-03, -8.2395e-05,  1.9962e-05, -1.5994e-03,\n",
       "           4.0566e-03,  3.2082e-04, -7.2683e-03,  4.8954e-05,  2.4257e-03,\n",
       "          -1.9218e-04, -4.2315e-03,  1.0705e-02, -1.3203e-02,  2.6329e-02,\n",
       "           1.1388e-02, -1.2764e-02,  2.4249e-02,  1.7844e-02, -1.8232e-02,\n",
       "           2.2707e-02, -5.2793e-03, -4.3937e-03, -7.4326e-03, -2.8147e-02,\n",
       "          -9.2744e-03, -1.8492e-04, -8.2156e-02,  1.0093e-01,  6.4875e-04,\n",
       "           6.1775e-03, -5.8750e-03,  2.5138e-05,  1.5949e-03,  5.4529e-02,\n",
       "           6.2535e-02, -4.1123e-03,  3.4868e-04, -2.2950e-03,  9.2985e-03,\n",
       "           4.2346e-02,  1.6313e-02, -4.9331e-04,  7.3328e-02,  2.7046e-02,\n",
       "          -1.3979e-02,  6.6042e-02,  3.8202e-02,  7.3803e-03, -2.4935e-02,\n",
       "           8.3064e-02,  3.6799e-05, -1.6552e-03,  2.6421e-02, -3.0183e-02,\n",
       "           9.4155e-03, -5.2055e-02, -2.5469e-02, -1.9876e-02, -8.1513e-03,\n",
       "           2.4172e-02,  4.4098e-02, -1.7776e-02,  1.4640e-03,  6.1716e-02,\n",
       "           1.1486e-02,  1.7505e-02, -1.6291e-03,  4.9701e-02,  5.8499e-02,\n",
       "          -9.2731e-04,  1.6406e-03, -1.0109e-04, -3.4531e-04,  3.2707e-02,\n",
       "          -2.6593e-02,  3.9792e-05, -3.6220e-04, -1.5843e-03,  1.1375e-04,\n",
       "          -8.4938e-03,  4.7664e-02,  4.2327e-02, -8.9443e-04, -1.0323e-01,\n",
       "           5.7707e-02,  1.3008e-03,  1.4094e-03, -8.2528e-02,  1.2477e-02,\n",
       "           2.8358e-02,  6.1556e-03,  4.3852e-02, -3.6242e-02,  7.4949e-03,\n",
       "           2.4889e-02,  1.8402e-02,  2.9919e-02, -2.9699e-02,  2.7163e-04,\n",
       "          -2.0188e-02, -6.4091e-05, -1.4514e-02, -1.5845e-02,  3.0381e-02,\n",
       "          -1.7567e-02,  2.4267e-02,  9.4151e-03,  4.3240e-03, -1.6187e-04,\n",
       "          -9.9754e-04,  2.9788e-02, -2.9477e-02, -6.5231e-03, -2.2630e-02,\n",
       "           2.4446e-02], device='cuda:0'),\n",
       "  tensor([[[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]]],\n",
       "  \n",
       "  \n",
       "          [[[-5.9689e-05, -4.6732e-05, -1.3072e-04],\n",
       "            [-7.3442e-05, -9.5635e-05, -6.3004e-05],\n",
       "            [-5.3018e-05, -8.4533e-05, -1.0761e-04]],\n",
       "  \n",
       "           [[-7.3500e-03, -7.2705e-03, -6.9973e-03],\n",
       "            [-7.5043e-03, -7.9165e-03, -8.3781e-03],\n",
       "            [-8.0810e-03, -8.1327e-03, -8.6847e-03]],\n",
       "  \n",
       "           [[-3.5216e-03, -3.7202e-03, -3.4077e-03],\n",
       "            [-4.8274e-03, -4.2722e-03, -4.0923e-03],\n",
       "            [-5.9597e-03, -5.9755e-03, -5.8644e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.1107e-03, -3.1491e-03, -3.2207e-03],\n",
       "            [-4.2211e-03, -4.5193e-03, -4.5247e-03],\n",
       "            [-2.4735e-03, -2.6185e-03, -2.5705e-03]],\n",
       "  \n",
       "           [[-6.0379e-03, -6.5368e-03, -6.7213e-03],\n",
       "            [-8.6407e-03, -8.7963e-03, -8.0558e-03],\n",
       "            [-8.0752e-03, -7.9043e-03, -7.2078e-03]],\n",
       "  \n",
       "           [[-4.8575e-03, -4.3824e-03, -4.1907e-03],\n",
       "            [-4.6798e-03, -4.1673e-03, -4.4216e-03],\n",
       "            [-5.1411e-03, -4.2902e-03, -4.1450e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.5163e-05, -8.2149e-05, -3.6358e-05],\n",
       "            [-2.6653e-05, -1.5785e-04, -1.5766e-04],\n",
       "            [-9.9511e-05, -7.3506e-05, -5.9027e-06]],\n",
       "  \n",
       "           [[-4.2804e-03, -4.5956e-03, -4.1782e-03],\n",
       "            [-5.2402e-03, -5.4724e-03, -5.0475e-03],\n",
       "            [-4.1350e-03, -4.4145e-03, -4.7881e-03]],\n",
       "  \n",
       "           [[-2.7894e-03, -2.8226e-03, -2.7704e-03],\n",
       "            [-3.8489e-03, -3.9462e-03, -4.0046e-03],\n",
       "            [-4.5496e-03, -4.9888e-03, -5.3671e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.0763e-03, -2.0336e-03, -1.1229e-03],\n",
       "            [-2.0110e-03, -3.1723e-03, -2.6622e-03],\n",
       "            [-1.7166e-04, -1.3846e-03, -6.7380e-04]],\n",
       "  \n",
       "           [[-3.3998e-03, -3.6318e-03, -3.5294e-03],\n",
       "            [-5.4111e-03, -4.6864e-03, -5.0642e-03],\n",
       "            [-4.8119e-03, -4.8501e-03, -4.4337e-03]],\n",
       "  \n",
       "           [[-2.2559e-03, -1.2930e-03, -2.6869e-03],\n",
       "            [-1.9129e-03, -7.5107e-04, -2.1610e-03],\n",
       "            [-1.6439e-03, -3.8378e-04, -1.7174e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-8.3961e-05, -2.7404e-05, -4.0886e-05],\n",
       "            [-7.3931e-05, -2.7827e-05, -3.4470e-05],\n",
       "            [-1.5004e-05,  5.5278e-06, -7.9309e-05]],\n",
       "  \n",
       "           [[-1.5701e-03, -1.6294e-03, -1.0161e-03],\n",
       "            [-1.9141e-03, -1.5575e-03, -1.3696e-03],\n",
       "            [-2.1138e-03, -1.9188e-03, -1.9891e-03]],\n",
       "  \n",
       "           [[-1.4960e-03, -8.6899e-04, -6.3890e-04],\n",
       "            [-1.3197e-03, -1.2664e-03, -9.8172e-04],\n",
       "            [-1.0567e-03, -9.8120e-04, -1.0781e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-8.1563e-04, -8.5478e-04, -9.9508e-04],\n",
       "            [-1.6882e-04, -3.3144e-04, -3.5879e-04],\n",
       "            [-2.0527e-04, -2.1619e-04, -3.7011e-04]],\n",
       "  \n",
       "           [[-2.2727e-03, -2.3914e-03, -1.9264e-03],\n",
       "            [-1.3540e-03, -1.2632e-03, -1.2142e-03],\n",
       "            [-5.9808e-04, -6.0349e-04, -6.9171e-04]],\n",
       "  \n",
       "           [[-3.6003e-04, -2.6998e-04, -3.2624e-04],\n",
       "            [-5.0172e-04, -4.9789e-04, -4.8855e-04],\n",
       "            [-6.1020e-04, -6.1709e-04, -6.9446e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.0420e-04,  3.3758e-04,  2.9510e-04],\n",
       "            [ 2.1222e-04,  3.1698e-04,  2.8024e-04],\n",
       "            [ 3.5058e-04,  2.4849e-04,  2.6127e-04]],\n",
       "  \n",
       "           [[ 3.0641e-02,  3.0810e-02,  3.0178e-02],\n",
       "            [ 3.1143e-02,  3.1391e-02,  3.0633e-02],\n",
       "            [ 3.1846e-02,  3.2159e-02,  3.1696e-02]],\n",
       "  \n",
       "           [[ 2.0540e-02,  2.0817e-02,  2.0323e-02],\n",
       "            [ 2.1016e-02,  2.1497e-02,  2.0949e-02],\n",
       "            [ 1.9513e-02,  1.9824e-02,  2.0058e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 9.0815e-03,  9.2636e-03,  9.2499e-03],\n",
       "            [ 8.9012e-03,  9.0293e-03,  8.8893e-03],\n",
       "            [ 8.6809e-03,  8.4694e-03,  8.0734e-03]],\n",
       "  \n",
       "           [[ 2.2638e-02,  2.3171e-02,  2.2501e-02],\n",
       "            [ 2.0220e-02,  2.1028e-02,  2.0457e-02],\n",
       "            [ 1.8604e-02,  1.9183e-02,  1.8577e-02]],\n",
       "  \n",
       "           [[ 1.2619e-02,  1.2568e-02,  1.2880e-02],\n",
       "            [ 1.3672e-02,  1.3052e-02,  1.3290e-02],\n",
       "            [ 1.3854e-02,  1.3407e-02,  1.3658e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-3.6905e-05, -3.1084e-05, -1.3313e-05],\n",
       "            [ 7.9365e-07,  2.0922e-05,  3.0512e-05],\n",
       "            [-2.5219e-05, -9.4812e-05, -6.9396e-05]],\n",
       "  \n",
       "           [[-2.5811e-03, -2.9866e-03, -2.9588e-03],\n",
       "            [-2.3136e-03, -2.2754e-03, -2.3624e-03],\n",
       "            [-2.3534e-03, -2.4299e-03, -2.2215e-03]],\n",
       "  \n",
       "           [[-2.4792e-03, -2.3897e-03, -2.5437e-03],\n",
       "            [-3.1515e-03, -2.9107e-03, -2.9653e-03],\n",
       "            [-3.3344e-03, -3.0954e-03, -3.2997e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-5.6601e-04, -8.1778e-04, -4.0422e-04],\n",
       "            [-9.5414e-05, -3.6848e-04, -9.7506e-05],\n",
       "            [-3.0862e-06, -2.7404e-04, -1.4178e-04]],\n",
       "  \n",
       "           [[-1.8815e-03, -1.7720e-03, -1.9419e-03],\n",
       "            [-2.2045e-03, -1.8030e-03, -2.1152e-03],\n",
       "            [-1.7358e-03, -1.7965e-03, -1.8647e-03]],\n",
       "  \n",
       "           [[-3.0783e-04, -2.1784e-04, -5.0014e-04],\n",
       "            [-3.9998e-05,  3.7251e-05, -4.9401e-04],\n",
       "            [-4.4335e-04, -4.9358e-04, -6.3356e-04]]]], device='cuda:0'),\n",
       "  tensor([ 0.0000e+00, -2.4058e-02, -6.4096e-03, -6.2018e-03, -2.9778e-03,\n",
       "           1.5352e-02,  1.7651e-04, -2.7112e-02, -2.3762e-02, -1.8882e-02,\n",
       "           4.2022e-03,  2.6942e-03, -2.9287e-06, -8.5002e-04,  3.6217e-04,\n",
       "          -1.1053e-04, -3.0977e-03,  2.0083e-05, -6.1452e-03,  3.6610e-02,\n",
       "          -3.7089e-03,  1.1299e-02,  3.6562e-02, -5.0573e-04,  1.0748e-02,\n",
       "          -1.6399e-04, -1.3885e-03,  4.4995e-03,  5.3302e-03,  1.8138e-04,\n",
       "           5.1467e-04,  2.3464e-02,  7.7320e-06,  5.5424e-03,  1.5224e-02,\n",
       "          -9.9516e-06, -5.2861e-04,  3.3376e-02,  1.9187e-02, -1.6198e-02,\n",
       "           2.9999e-02,  0.0000e+00, -1.2886e-02,  9.4270e-03, -7.3001e-04,\n",
       "           1.0453e-04,  1.5100e-04, -4.7115e-03, -9.3732e-03, -1.6917e-04,\n",
       "           6.1349e-03,  4.6340e-02, -1.4435e-03,  2.9021e-02,  1.4342e-02,\n",
       "           1.3501e-02,  2.9654e-03,  1.0231e-02,  1.5196e-02, -1.0433e-04,\n",
       "           5.0770e-02,  7.0693e-03, -3.1216e-02,  7.5817e-05, -3.0213e-03,\n",
       "          -2.1768e-03,  6.6194e-03, -4.7891e-04, -3.5996e-03, -7.5972e-02,\n",
       "           5.0686e-07, -8.9926e-03,  8.8833e-04, -1.2906e-02, -1.9767e-02,\n",
       "          -1.0452e-02,  1.8789e-02, -3.2576e-03, -4.8440e-03,  1.7756e-03,\n",
       "           2.5246e-03, -1.4361e-02, -2.5123e-03,  3.7933e-03, -1.3216e-05,\n",
       "          -2.4184e-04,  2.4681e-05, -6.7469e-03, -1.3567e-04,  2.8705e-04,\n",
       "           8.5725e-03,  7.7308e-03, -1.6036e-02,  3.3604e-02,  6.9327e-03,\n",
       "           3.9704e-05, -2.8814e-03, -2.8602e-03,  1.0001e-04,  6.9623e-02,\n",
       "          -3.8509e-03,  0.0000e+00,  2.2109e-03,  1.7832e-04,  1.2876e-03,\n",
       "          -4.7714e-03, -5.0533e-04, -7.9304e-05, -1.1595e-02, -3.8980e-03,\n",
       "          -3.6911e-03,  2.7942e-02,  9.7565e-03,  2.0637e-02,  2.2482e-02,\n",
       "           6.3364e-02,  2.5361e-03, -1.1368e-05,  6.5576e-04,  6.1419e-03,\n",
       "          -2.3926e-04,  9.3149e-02, -9.2422e-04, -2.6840e-02,  1.9254e-03,\n",
       "           2.0809e-02,  5.4108e-03,  1.8078e-03, -1.5912e-02,  2.9175e-03,\n",
       "           4.1405e-03,  8.1411e-03, -1.1152e-04, -1.7168e-03,  7.0514e-03,\n",
       "          -3.3873e-02,  1.4313e-03,  5.2245e-04,  3.8539e-02,  6.3861e-03,\n",
       "          -1.6091e-03,  6.2298e-02,  1.0499e-05, -1.2200e-03, -5.1166e-03,\n",
       "          -9.2523e-05, -8.6531e-03, -1.5928e-03,  3.5243e-03, -2.7678e-05,\n",
       "          -2.1333e-05, -2.7820e-02,  2.9647e-03,  5.0660e-05, -3.4933e-04,\n",
       "          -4.1603e-03,  0.0000e+00, -7.4464e-03,  4.5684e-03,  2.3037e-02,\n",
       "           1.1001e-03, -4.5349e-03,  2.8959e-05,  2.5593e-02,  7.4266e-04,\n",
       "           3.1118e-02,  4.7586e-03, -1.2525e-03,  7.4179e-03, -7.8585e-06,\n",
       "           1.2632e-02, -9.3478e-04,  1.5615e-03, -6.9590e-04, -5.7548e-06,\n",
       "          -2.7259e-04, -2.5471e-02,  6.1853e-03, -1.3115e-04,  1.1636e-02,\n",
       "           1.3465e-04, -1.5350e-03, -1.1253e-02, -7.1391e-04,  1.6837e-04,\n",
       "           7.9594e-03,  5.7989e-03,  2.3836e-04, -5.8646e-02, -8.9247e-03,\n",
       "          -8.0056e-03,  6.0282e-03, -2.5084e-02, -4.8308e-06,  2.6944e-03,\n",
       "          -3.3757e-02, -1.6757e-02, -3.3416e-03,  2.1743e-03,  1.4163e-02,\n",
       "           2.1432e-04, -1.3580e-02, -2.1633e-02,  1.6032e-04, -7.0797e-03,\n",
       "           3.5101e-03, -5.4213e-03,  9.0882e-04,  0.0000e+00,  2.0580e-02,\n",
       "           3.1936e-05,  1.4192e-02,  1.7458e-02,  8.9442e-06,  0.0000e+00,\n",
       "          -3.3200e-05, -1.4331e-03, -3.1500e-03,  6.2577e-02, -2.7722e-03,\n",
       "          -3.1332e-03,  1.0346e-03,  8.1828e-03, -4.2524e-05,  5.2962e-03,\n",
       "           1.7728e-05,  7.8589e-06, -7.5796e-03, -2.4168e-02,  5.6286e-04,\n",
       "           7.8416e-05,  5.5020e-03,  1.0947e-02,  9.7275e-03,  0.0000e+00,\n",
       "          -1.0197e-02, -5.9774e-03, -6.0017e-03,  1.9973e-02,  0.0000e+00,\n",
       "           2.2281e-02,  8.5086e-05,  2.9257e-04,  2.7776e-03, -1.0418e-03,\n",
       "           1.3172e-03, -1.6331e-02,  4.9514e-03, -1.7033e-02, -1.2272e-02,\n",
       "           2.2629e-03, -3.8631e-03,  2.1717e-03, -3.4821e-04,  6.5626e-02,\n",
       "          -2.3873e-03], device='cuda:0'),\n",
       "  tensor([ 0.0000e+00, -3.4832e-02, -2.1171e-02,  3.8001e-02, -1.4643e-02,\n",
       "           4.2452e-02,  3.7536e-04, -4.1089e-02, -6.0563e-02, -2.7857e-02,\n",
       "          -1.4045e-02,  4.9993e-02, -8.2131e-05, -6.7299e-04,  1.2329e-03,\n",
       "          -8.9251e-04, -3.4427e-03,  1.5208e-05, -3.7718e-02,  7.4234e-02,\n",
       "          -1.1068e-02,  3.4270e-02,  9.1827e-02,  2.7993e-03,  3.3246e-02,\n",
       "           7.0946e-04,  2.5032e-02,  1.0688e-02,  1.4656e-02,  3.8784e-04,\n",
       "           5.2726e-04,  3.1152e-02,  1.7064e-04, -8.0182e-02,  1.6393e-02,\n",
       "          -3.4199e-05,  3.8239e-03,  2.3523e-02,  3.4933e-02, -2.9245e-02,\n",
       "           5.1829e-02,  0.0000e+00,  2.9369e-02,  9.6114e-03, -1.8501e-03,\n",
       "           8.7773e-05,  4.5230e-04, -1.2848e-02,  8.0602e-02, -1.2301e-02,\n",
       "           3.2662e-03,  6.8604e-02,  3.6378e-03,  4.3768e-02,  7.1698e-02,\n",
       "           5.5274e-02,  1.2294e-02,  2.1650e-02,  2.1822e-02,  9.8739e-03,\n",
       "           3.9584e-02,  1.9019e-02, -2.7510e-02, -1.0690e-02,  2.1279e-02,\n",
       "           3.0681e-03,  1.8669e-02,  1.9027e-03, -9.9381e-03, -7.1849e-02,\n",
       "           9.4128e-06, -1.0116e-02,  1.4362e-02, -1.6224e-02,  8.9533e-02,\n",
       "          -2.2211e-02,  2.0047e-02, -1.3996e-02, -1.9352e-02, -6.9095e-03,\n",
       "           2.1022e-02, -5.0197e-02, -2.4261e-02, -4.4096e-02, -1.4360e-04,\n",
       "           2.4833e-02,  4.2173e-04, -1.8029e-02,  2.8891e-03,  1.5457e-03,\n",
       "          -4.4837e-02,  2.5324e-02, -2.4767e-02,  3.5342e-02,  3.1115e-02,\n",
       "          -1.1822e-03, -1.4286e-03, -1.4105e-02, -1.1804e-04,  9.6624e-02,\n",
       "           1.1581e-02,  0.0000e+00,  1.3300e-02, -1.5894e-03, -7.5141e-03,\n",
       "           3.0710e-05, -7.2679e-04,  4.8320e-03, -3.2694e-02, -2.2407e-03,\n",
       "          -6.0996e-03,  4.6827e-02, -2.1672e-02,  8.6915e-02,  7.4687e-02,\n",
       "           6.2487e-02,  7.7249e-02, -1.4380e-05, -2.1958e-02,  2.2131e-02,\n",
       "           1.6267e-03,  7.8833e-02, -3.0857e-03, -5.8466e-02, -1.3754e-02,\n",
       "           3.7715e-02,  4.8033e-02,  3.9059e-03, -2.8620e-02, -1.4048e-02,\n",
       "          -4.5443e-02,  1.6329e-02,  1.8816e-04,  2.5510e-02,  2.1604e-02,\n",
       "          -3.6335e-02,  2.8184e-03, -9.1476e-04,  2.8499e-02,  2.4946e-02,\n",
       "          -2.5854e-02,  9.1534e-02, -2.8577e-05, -6.6019e-03, -1.0077e-02,\n",
       "           2.2620e-04, -3.2536e-02, -7.7045e-03, -4.3991e-03,  1.1203e-04,\n",
       "          -1.3024e-04, -3.0175e-02, -1.6287e-02,  2.3824e-04,  6.9259e-03,\n",
       "          -2.8744e-02,  0.0000e+00, -3.6550e-02,  9.1308e-03,  3.3759e-02,\n",
       "          -1.0263e-03,  1.0820e-01,  2.9937e-04,  4.9564e-02,  3.6650e-03,\n",
       "           6.8145e-02,  8.7997e-03,  3.4736e-03,  1.4595e-02,  3.3364e-05,\n",
       "           6.1385e-02, -5.3089e-03,  4.1092e-03, -7.6000e-04,  1.2667e-05,\n",
       "           6.2462e-04, -5.2447e-02, -1.1506e-02,  4.4360e-04,  2.5423e-02,\n",
       "           2.2090e-04, -1.3035e-02, -2.3564e-02, -8.7807e-03, -2.4030e-03,\n",
       "           1.8473e-02,  1.2182e-02,  4.3022e-04, -8.0113e-02, -8.0980e-03,\n",
       "           7.7888e-02, -1.7502e-02, -7.0081e-02,  2.2856e-03,  1.2098e-02,\n",
       "          -4.4555e-02, -2.1092e-02, -3.3048e-03,  1.6637e-02,  8.0308e-02,\n",
       "          -6.8009e-04, -3.3263e-02, -4.3639e-02,  1.6076e-03, -1.1820e-02,\n",
       "          -3.4299e-02, -1.8983e-02,  5.7048e-03,  0.0000e+00,  3.0922e-02,\n",
       "           1.4275e-04,  3.1343e-02,  1.3421e-02,  4.9623e-04,  0.0000e+00,\n",
       "          -7.6093e-04,  1.0950e-02, -4.7933e-03,  9.8162e-02, -3.1683e-04,\n",
       "          -5.7299e-03,  2.0764e-03,  5.6264e-03,  6.6635e-05,  1.9405e-02,\n",
       "           3.8257e-05,  3.8758e-05, -2.6039e-02, -7.4322e-02, -3.3277e-03,\n",
       "           2.3311e-04,  6.5735e-03,  2.4647e-02,  3.1166e-02,  0.0000e+00,\n",
       "          -5.9804e-02, -8.0598e-02, -1.8179e-02,  2.6360e-02,  0.0000e+00,\n",
       "           3.3797e-02,  2.8199e-04,  1.0120e-03,  5.4521e-02,  1.8770e-03,\n",
       "           4.6598e-04,  2.9611e-02,  1.1056e-02, -7.2815e-02, -9.0870e-03,\n",
       "           1.4133e-03, -1.7477e-02,  8.7687e-04, -5.3262e-03,  1.1228e-01,\n",
       "          -9.2557e-03], device='cuda:0'),\n",
       "  tensor([[[[ 0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00]],\n",
       "  \n",
       "           [[ 0.0000e+00]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.6896e-03]],\n",
       "  \n",
       "           [[-8.4858e-04]],\n",
       "  \n",
       "           [[ 2.4048e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.4435e-03]],\n",
       "  \n",
       "           [[-3.1182e-02]],\n",
       "  \n",
       "           [[-3.4805e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.0511e-03]],\n",
       "  \n",
       "           [[-3.3504e-04]],\n",
       "  \n",
       "           [[-9.4487e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.8120e-03]],\n",
       "  \n",
       "           [[-2.0259e-02]],\n",
       "  \n",
       "           [[-2.1738e-02]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-3.0196e-04]],\n",
       "  \n",
       "           [[-2.0396e-04]],\n",
       "  \n",
       "           [[-7.0861e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.6393e-04]],\n",
       "  \n",
       "           [[-6.1380e-03]],\n",
       "  \n",
       "           [[-6.6213e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.5656e-03]],\n",
       "  \n",
       "           [[ 2.5429e-03]],\n",
       "  \n",
       "           [[ 7.1501e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 8.6697e-03]],\n",
       "  \n",
       "           [[ 1.1278e-01]],\n",
       "  \n",
       "           [[ 1.2059e-01]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.4943e-04]],\n",
       "  \n",
       "           [[-1.0053e-04]],\n",
       "  \n",
       "           [[-7.8038e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-6.5303e-04]],\n",
       "  \n",
       "           [[-1.0976e-02]],\n",
       "  \n",
       "           [[-1.0014e-02]]]], device='cuda:0'),\n",
       "  tensor([ 0.0000e+00, -4.0646e-02, -1.2129e-02,  1.5827e-02, -1.6560e-03,\n",
       "           1.1028e-02, -7.5507e-05,  5.3602e-03,  6.8579e-03,  3.1917e-03,\n",
       "          -6.3233e-03,  2.4658e-02,  1.2136e-06, -3.7752e-03,  3.4077e-05,\n",
       "           2.1599e-04,  1.2896e-03, -2.5288e-05, -1.2060e-02,  3.5415e-02,\n",
       "          -1.3756e-03,  4.7743e-03,  3.9194e-02,  4.3333e-03,  1.5789e-03,\n",
       "           8.5615e-04,  1.7789e-02, -1.5979e-03,  3.2937e-03, -1.3332e-04,\n",
       "          -3.5891e-04, -1.1967e-02,  7.9588e-06, -7.7984e-02,  1.5887e-02,\n",
       "           6.6273e-06,  1.2075e-03,  1.5848e-04, -1.0110e-03,  1.8259e-03,\n",
       "           1.5062e-02,  0.0000e+00,  2.0567e-02,  2.5271e-03,  5.9859e-04,\n",
       "          -1.0660e-04, -3.5243e-05,  1.4815e-03,  4.0087e-02, -2.6746e-03,\n",
       "           1.1804e-03,  3.7589e-02,  1.8859e-03,  5.7169e-03,  5.7273e-03,\n",
       "           2.1638e-02,  2.6436e-03, -6.1132e-03, -2.2831e-04,  1.8033e-03,\n",
       "           2.9839e-03,  5.9676e-03,  2.6944e-02, -1.0252e-03,  6.6510e-03,\n",
       "           6.4098e-03, -2.2273e-03,  8.1408e-04,  2.5223e-03, -7.0397e-03,\n",
       "          -9.6572e-07, -3.4677e-04,  6.2314e-03,  1.0689e-02,  9.8804e-02,\n",
       "           1.4914e-03, -7.2366e-03, -3.8458e-03, -1.1030e-02, -2.4896e-03,\n",
       "           8.1820e-03, -1.0559e-02, -5.1180e-03, -2.4239e-02,  1.7241e-06,\n",
       "           6.5827e-03,  4.8523e-05,  4.4757e-03, -7.0326e-06,  1.9829e-03,\n",
       "          -2.8391e-02,  1.1234e-02,  6.1260e-03, -2.5943e-02,  4.8717e-03,\n",
       "          -1.4265e-04, -2.8444e-03, -7.9291e-03, -9.0141e-05,  1.8741e-02,\n",
       "           5.1979e-03,  0.0000e+00,  7.3031e-03, -1.9808e-04,  3.9135e-03,\n",
       "           2.9850e-03,  4.1004e-04,  4.8447e-03, -1.4085e-02,  5.3948e-03,\n",
       "           3.0731e-03,  2.7509e-02, -1.3055e-02,  7.2151e-02, -2.0316e-03,\n",
       "          -3.3863e-02,  5.3369e-02,  6.2530e-06, -3.8659e-03, -1.5619e-03,\n",
       "           1.1536e-03,  1.0133e-02,  4.2613e-04, -3.1210e-02, -7.8789e-03,\n",
       "           1.1636e-02,  3.0214e-02, -1.3516e-03, -5.6453e-03, -1.1296e-02,\n",
       "          -4.9009e-02, -1.6646e-03,  3.9090e-05,  1.0627e-02,  3.3701e-03,\n",
       "           8.6681e-03,  2.7427e-03,  6.2387e-04, -2.6590e-02, -1.8543e-03,\n",
       "          -8.2054e-03,  1.2565e-02, -1.2467e-05,  1.3620e-03, -3.2970e-03,\n",
       "          -7.9189e-04, -6.6083e-03,  1.4716e-03,  3.0095e-03,  4.1476e-05,\n",
       "           5.2215e-06, -1.7486e-02, -1.1443e-03, -4.4175e-05,  1.3274e-03,\n",
       "          -3.7921e-04,  0.0000e+00, -5.4879e-03,  5.1771e-03, -1.1382e-02,\n",
       "           2.7237e-03,  1.0634e-01, -5.9639e-06, -1.8291e-03,  3.9085e-03,\n",
       "           1.0662e-01,  3.2274e-03,  1.4849e-03, -2.6450e-03,  1.8893e-05,\n",
       "           3.3925e-02, -2.6593e-03, -9.8437e-04,  6.2477e-04,  1.9152e-06,\n",
       "           4.0138e-04, -8.3809e-04, -1.1165e-02,  1.8532e-04,  8.1389e-03,\n",
       "          -9.5060e-05,  2.5885e-03,  1.4055e-03, -1.3808e-03, -7.5724e-04,\n",
       "           1.1344e-02,  7.9401e-06, -1.9670e-04,  2.2007e-02,  2.5796e-03,\n",
       "           6.8058e-02, -1.3328e-02, -8.0542e-03,  4.4283e-04, -1.0182e-03,\n",
       "           1.0334e-02, -1.1946e-02,  1.9669e-03,  7.8899e-05,  3.1895e-02,\n",
       "          -6.1511e-04,  1.3524e-02,  1.0741e-02,  3.7355e-05,  5.5778e-03,\n",
       "          -2.6770e-02, -2.1024e-03,  4.1700e-04,  0.0000e+00,  1.0446e-02,\n",
       "           3.4347e-05,  1.3032e-02,  4.7708e-03, -4.3298e-06,  0.0000e+00,\n",
       "          -1.5898e-05,  5.0361e-03,  2.2023e-03,  3.0681e-02,  1.4993e-03,\n",
       "           4.6034e-04, -7.5797e-04,  1.4508e-03,  6.2062e-05,  1.2346e-02,\n",
       "          -1.7320e-05, -5.4962e-06, -1.3575e-02, -2.5515e-02, -9.8276e-04,\n",
       "          -9.7809e-05,  5.8310e-03,  4.8259e-03,  5.9621e-03,  0.0000e+00,\n",
       "          -1.5531e-02, -4.3396e-02, -1.1376e-03, -5.7695e-03,  0.0000e+00,\n",
       "          -2.5305e-03,  4.3932e-05,  1.5602e-04,  3.0376e-02,  1.0727e-03,\n",
       "           5.5189e-04,  2.6508e-02, -1.6990e-03, -2.9211e-02,  4.6415e-03,\n",
       "          -5.6220e-04,  8.1591e-04,  8.0274e-04, -7.5286e-04,  2.9154e-02,\n",
       "          -4.9758e-04], device='cuda:0'),\n",
       "  tensor([ 0.0000e+00, -3.4832e-02, -2.1171e-02,  3.8001e-02, -1.4643e-02,\n",
       "           4.2452e-02,  3.7536e-04, -4.1089e-02, -6.0563e-02, -2.7857e-02,\n",
       "          -1.4045e-02,  4.9993e-02, -8.2131e-05, -6.7299e-04,  1.2329e-03,\n",
       "          -8.9251e-04, -3.4427e-03,  1.5208e-05, -3.7718e-02,  7.4234e-02,\n",
       "          -1.1068e-02,  3.4270e-02,  9.1827e-02,  2.7993e-03,  3.3246e-02,\n",
       "           7.0946e-04,  2.5032e-02,  1.0688e-02,  1.4656e-02,  3.8784e-04,\n",
       "           5.2726e-04,  3.1152e-02,  1.7064e-04, -8.0182e-02,  1.6393e-02,\n",
       "          -3.4199e-05,  3.8239e-03,  2.3523e-02,  3.4933e-02, -2.9245e-02,\n",
       "           5.1829e-02,  0.0000e+00,  2.9369e-02,  9.6114e-03, -1.8501e-03,\n",
       "           8.7773e-05,  4.5230e-04, -1.2848e-02,  8.0602e-02, -1.2301e-02,\n",
       "           3.2662e-03,  6.8604e-02,  3.6378e-03,  4.3768e-02,  7.1698e-02,\n",
       "           5.5274e-02,  1.2294e-02,  2.1650e-02,  2.1822e-02,  9.8739e-03,\n",
       "           3.9584e-02,  1.9019e-02, -2.7510e-02, -1.0690e-02,  2.1279e-02,\n",
       "           3.0681e-03,  1.8669e-02,  1.9027e-03, -9.9381e-03, -7.1849e-02,\n",
       "           9.4128e-06, -1.0116e-02,  1.4362e-02, -1.6224e-02,  8.9533e-02,\n",
       "          -2.2211e-02,  2.0047e-02, -1.3996e-02, -1.9352e-02, -6.9095e-03,\n",
       "           2.1022e-02, -5.0197e-02, -2.4261e-02, -4.4096e-02, -1.4360e-04,\n",
       "           2.4833e-02,  4.2173e-04, -1.8029e-02,  2.8891e-03,  1.5457e-03,\n",
       "          -4.4837e-02,  2.5324e-02, -2.4767e-02,  3.5342e-02,  3.1115e-02,\n",
       "          -1.1822e-03, -1.4286e-03, -1.4105e-02, -1.1804e-04,  9.6624e-02,\n",
       "           1.1581e-02,  0.0000e+00,  1.3300e-02, -1.5894e-03, -7.5141e-03,\n",
       "           3.0710e-05, -7.2679e-04,  4.8320e-03, -3.2694e-02, -2.2407e-03,\n",
       "          -6.0996e-03,  4.6827e-02, -2.1672e-02,  8.6915e-02,  7.4687e-02,\n",
       "           6.2487e-02,  7.7249e-02, -1.4380e-05, -2.1958e-02,  2.2131e-02,\n",
       "           1.6267e-03,  7.8833e-02, -3.0857e-03, -5.8466e-02, -1.3754e-02,\n",
       "           3.7715e-02,  4.8033e-02,  3.9059e-03, -2.8620e-02, -1.4048e-02,\n",
       "          -4.5443e-02,  1.6329e-02,  1.8816e-04,  2.5510e-02,  2.1604e-02,\n",
       "          -3.6335e-02,  2.8184e-03, -9.1476e-04,  2.8499e-02,  2.4946e-02,\n",
       "          -2.5854e-02,  9.1534e-02, -2.8577e-05, -6.6019e-03, -1.0077e-02,\n",
       "           2.2620e-04, -3.2536e-02, -7.7045e-03, -4.3991e-03,  1.1203e-04,\n",
       "          -1.3024e-04, -3.0175e-02, -1.6287e-02,  2.3824e-04,  6.9259e-03,\n",
       "          -2.8744e-02,  0.0000e+00, -3.6550e-02,  9.1308e-03,  3.3759e-02,\n",
       "          -1.0263e-03,  1.0820e-01,  2.9937e-04,  4.9564e-02,  3.6650e-03,\n",
       "           6.8145e-02,  8.7997e-03,  3.4736e-03,  1.4595e-02,  3.3364e-05,\n",
       "           6.1385e-02, -5.3089e-03,  4.1092e-03, -7.6000e-04,  1.2667e-05,\n",
       "           6.2462e-04, -5.2447e-02, -1.1506e-02,  4.4360e-04,  2.5423e-02,\n",
       "           2.2090e-04, -1.3035e-02, -2.3564e-02, -8.7807e-03, -2.4030e-03,\n",
       "           1.8473e-02,  1.2182e-02,  4.3022e-04, -8.0113e-02, -8.0980e-03,\n",
       "           7.7888e-02, -1.7502e-02, -7.0081e-02,  2.2856e-03,  1.2098e-02,\n",
       "          -4.4555e-02, -2.1092e-02, -3.3048e-03,  1.6637e-02,  8.0308e-02,\n",
       "          -6.8009e-04, -3.3263e-02, -4.3639e-02,  1.6076e-03, -1.1820e-02,\n",
       "          -3.4299e-02, -1.8983e-02,  5.7048e-03,  0.0000e+00,  3.0922e-02,\n",
       "           1.4275e-04,  3.1343e-02,  1.3421e-02,  4.9623e-04,  0.0000e+00,\n",
       "          -7.6093e-04,  1.0950e-02, -4.7933e-03,  9.8162e-02, -3.1683e-04,\n",
       "          -5.7299e-03,  2.0764e-03,  5.6264e-03,  6.6635e-05,  1.9405e-02,\n",
       "           3.8257e-05,  3.8758e-05, -2.6039e-02, -7.4322e-02, -3.3277e-03,\n",
       "           2.3311e-04,  6.5735e-03,  2.4647e-02,  3.1166e-02,  0.0000e+00,\n",
       "          -5.9804e-02, -8.0598e-02, -1.8179e-02,  2.6360e-02,  0.0000e+00,\n",
       "           3.3797e-02,  2.8199e-04,  1.0120e-03,  5.4521e-02,  1.8770e-03,\n",
       "           4.6598e-04,  2.9611e-02,  1.1056e-02, -7.2815e-02, -9.0870e-03,\n",
       "           1.4133e-03, -1.7477e-02,  8.7687e-04, -5.3262e-03,  1.1228e-01,\n",
       "          -9.2557e-03], device='cuda:0'),\n",
       "  tensor([[[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 1.3217e-01,  1.3343e-01,  1.3521e-01],\n",
       "            [ 1.3530e-01,  1.3745e-01,  1.3867e-01],\n",
       "            [ 1.3164e-01,  1.3413e-01,  1.3569e-01]],\n",
       "  \n",
       "           [[ 7.1503e-02,  7.2384e-02,  7.3867e-02],\n",
       "            [ 7.6228e-02,  7.8098e-02,  7.8164e-02],\n",
       "            [ 7.5469e-02,  7.6355e-02,  7.7962e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 9.4830e-04,  1.0996e-03,  1.0817e-03],\n",
       "            [ 1.4847e-03,  1.3621e-03,  1.2719e-03],\n",
       "            [ 9.9128e-04,  1.1779e-03,  1.2185e-03]],\n",
       "  \n",
       "           [[ 6.1993e-02,  6.4150e-02,  6.3660e-02],\n",
       "            [ 5.9048e-02,  6.0247e-02,  6.0982e-02],\n",
       "            [ 5.7080e-02,  5.9443e-02,  5.8167e-02]],\n",
       "  \n",
       "           [[ 1.2905e-02,  1.3874e-02,  1.3749e-02],\n",
       "            [ 1.4507e-02,  1.4129e-02,  1.4764e-02],\n",
       "            [ 1.5014e-02,  1.5920e-02,  1.6214e-02]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 8.1908e-02,  8.0554e-02,  7.9075e-02],\n",
       "            [ 8.0885e-02,  7.8636e-02,  7.7675e-02],\n",
       "            [ 7.8827e-02,  7.7460e-02,  7.7666e-02]],\n",
       "  \n",
       "           [[ 4.1507e-02,  4.2790e-02,  4.0964e-02],\n",
       "            [ 4.3604e-02,  4.3090e-02,  4.2457e-02],\n",
       "            [ 4.3255e-02,  4.4037e-02,  4.2688e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 8.8144e-04,  1.0122e-03,  5.6098e-04],\n",
       "            [ 5.3904e-04,  6.4156e-04,  1.3632e-04],\n",
       "            [ 9.3938e-04,  1.0513e-03,  5.5552e-04]],\n",
       "  \n",
       "           [[ 3.5084e-02,  3.3504e-02,  3.4336e-02],\n",
       "            [ 3.5855e-02,  3.5071e-02,  3.5016e-02],\n",
       "            [ 3.5390e-02,  3.3550e-02,  3.4327e-02]],\n",
       "  \n",
       "           [[ 1.0730e-02,  9.5816e-03,  1.0356e-02],\n",
       "            [ 1.1006e-02,  1.0585e-02,  1.0418e-02],\n",
       "            [ 1.0702e-02,  9.1057e-03,  9.6897e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[-4.3656e-11, -1.3097e-10, -1.3097e-10],\n",
       "            [ 0.0000e+00, -4.4737e-05, -6.5316e-05],\n",
       "            [ 0.0000e+00, -6.8922e-05, -1.0434e-04]],\n",
       "  \n",
       "           [[-1.9645e-10, -1.0186e-10, -1.4188e-10],\n",
       "            [ 0.0000e+00, -2.4001e-05, -6.0123e-05],\n",
       "            [-1.4552e-11, -5.6457e-05, -1.0350e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 0.0000e+00, -3.6380e-12,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00, -6.5729e-06,  0.0000e+00]],\n",
       "  \n",
       "           [[ 1.0914e-10,  7.2760e-12,  5.0932e-11],\n",
       "            [ 5.8208e-11, -2.7868e-05, -3.7382e-05],\n",
       "            [ 4.3656e-11, -2.3263e-05, -1.9148e-05]],\n",
       "  \n",
       "           [[ 3.2742e-11,  2.5466e-11,  3.2742e-11],\n",
       "            [ 9.0949e-13, -5.4968e-06,  1.3642e-12],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[-7.1274e-03, -8.1777e-03, -7.2871e-03],\n",
       "            [-1.2382e-02, -1.2986e-02, -1.2757e-02],\n",
       "            [-1.1657e-02, -1.2399e-02, -1.2378e-02]],\n",
       "  \n",
       "           [[-2.0104e-03, -1.9137e-03, -2.0315e-03],\n",
       "            [-4.8008e-03, -5.2050e-03, -5.0612e-03],\n",
       "            [-6.2469e-03, -6.3387e-03, -6.3281e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.0503e-04,  2.4817e-05, -3.1849e-04],\n",
       "            [-2.6272e-04, -2.2343e-04, -3.3322e-04],\n",
       "            [-2.5458e-04, -3.0808e-04, -4.1419e-04]],\n",
       "  \n",
       "           [[-4.0247e-03, -4.2688e-03, -3.9015e-03],\n",
       "            [-4.3393e-03, -4.7989e-03, -4.4470e-03],\n",
       "            [-3.8862e-03, -4.2167e-03, -4.0987e-03]],\n",
       "  \n",
       "           [[-1.4163e-04, -4.4605e-04,  1.4725e-04],\n",
       "            [-1.7974e-03, -1.9340e-03, -1.6015e-03],\n",
       "            [-3.0713e-03, -3.1620e-03, -2.9483e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 2.3020e-02,  2.4005e-02,  2.4752e-02],\n",
       "            [ 3.0544e-02,  3.1513e-02,  3.1790e-02],\n",
       "            [ 3.2961e-02,  3.4028e-02,  3.4469e-02]],\n",
       "  \n",
       "           [[ 1.1298e-02,  1.1827e-02,  1.2140e-02],\n",
       "            [ 1.2851e-02,  1.2921e-02,  1.3537e-02],\n",
       "            [ 1.7029e-02,  1.7148e-02,  1.7343e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.1685e-05,  5.6781e-05,  4.8929e-05],\n",
       "            [ 2.2747e-04,  1.2831e-04,  1.6438e-04],\n",
       "            [ 5.3846e-04,  5.3772e-04,  5.2182e-04]],\n",
       "  \n",
       "           [[ 1.0490e-02,  1.0817e-02,  1.1221e-02],\n",
       "            [ 1.3992e-02,  1.4150e-02,  1.4362e-02],\n",
       "            [ 1.2267e-02,  1.2526e-02,  1.2824e-02]],\n",
       "  \n",
       "           [[ 2.6968e-03,  2.9152e-03,  3.0938e-03],\n",
       "            [ 3.1585e-03,  3.5786e-03,  3.4813e-03],\n",
       "            [ 5.7642e-03,  6.1922e-03,  5.9399e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[-1.0872e-02, -1.1456e-02, -1.1397e-02],\n",
       "            [-1.1123e-02, -1.1866e-02, -1.2010e-02],\n",
       "            [-1.1759e-02, -1.2533e-02, -1.2236e-02]],\n",
       "  \n",
       "           [[-7.0020e-03, -7.4412e-03, -6.6813e-03],\n",
       "            [-7.0657e-03, -7.7308e-03, -7.4253e-03],\n",
       "            [-7.0208e-03, -7.5005e-03, -6.8912e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.2679e-05, -1.3153e-04, -1.3618e-04],\n",
       "            [-5.2238e-05, -1.5180e-04, -3.0500e-04],\n",
       "            [-9.6380e-05, -7.0059e-05, -1.8167e-04]],\n",
       "  \n",
       "           [[-5.8539e-03, -6.0923e-03, -6.6821e-03],\n",
       "            [-5.1098e-03, -5.4997e-03, -5.6003e-03],\n",
       "            [-5.2414e-03, -5.3663e-03, -5.4120e-03]],\n",
       "  \n",
       "           [[-8.3708e-04, -9.6888e-04, -8.4829e-04],\n",
       "            [-2.6390e-04, -6.1054e-04, -9.3197e-04],\n",
       "            [-5.3410e-04, -7.2138e-04, -1.0345e-03]]]], device='cuda:0'),\n",
       "  tensor([ 3.3090e-02,  4.7812e-02, -5.9319e-06, -2.1450e-05,  2.2953e-03,\n",
       "          -9.6258e-04, -2.7029e-03,  3.3130e-02,  1.4010e-04,  1.1437e-06,\n",
       "           7.4810e-02,  4.9506e-03,  8.1703e-03, -3.9965e-04, -1.1101e-02,\n",
       "           2.3155e-02, -1.9230e-02, -3.4349e-02, -8.6615e-04,  1.8638e-03,\n",
       "          -2.3735e-03,  2.1961e-02, -6.6733e-02,  1.6875e-02,  1.3487e-02,\n",
       "           8.0985e-04,  1.5514e-02,  9.1814e-02, -4.0797e-03,  7.9438e-02,\n",
       "           1.6951e-03,  7.0754e-04,  1.0315e-02,  3.5616e-05,  2.5985e-03,\n",
       "           1.0106e-02, -3.6550e-03,  1.5802e-04, -5.8468e-03, -6.9645e-06,\n",
       "           2.2937e-02,  1.7649e-03,  7.9658e-03, -1.3157e-02,  2.2854e-03,\n",
       "           4.3526e-03,  3.3605e-05, -3.3491e-03,  2.6981e-05, -2.5268e-04,\n",
       "          -1.1828e-03,  1.0973e-03, -9.3840e-03,  3.1829e-02, -5.8326e-03,\n",
       "           7.0078e-03,  2.5746e-03,  2.6862e-02, -6.6077e-05, -3.8878e-04,\n",
       "          -5.3019e-04,  8.8983e-03,  6.1857e-04,  3.3505e-04,  0.0000e+00,\n",
       "          -1.2192e-04, -4.9919e-04,  3.9638e-04, -2.8058e-03,  7.3187e-03,\n",
       "           5.6871e-03, -8.6697e-04,  1.5662e-03,  2.7150e-04,  2.9513e-03,\n",
       "           1.2296e-02, -9.4646e-06, -8.4664e-03,  8.1847e-03,  6.2379e-03,\n",
       "          -3.6514e-05,  1.2898e-02,  2.0303e-03,  4.1269e-03, -1.2835e-05,\n",
       "           2.7578e-04,  1.9375e-05,  1.0598e-02, -2.4622e-04,  5.5473e-03,\n",
       "           6.8401e-04,  1.4525e-03,  1.3906e-02,  2.1939e-05,  6.0556e-04,\n",
       "           1.9607e-04, -2.3339e-03, -1.7103e-03,  3.7276e-02,  8.9707e-05,\n",
       "           0.0000e+00,  1.1127e-02, -2.4391e-05,  9.0131e-04, -1.2780e-05,\n",
       "          -2.2417e-04,  3.8753e-04,  1.7995e-04, -2.3790e-02,  1.7886e-02,\n",
       "          -9.1030e-04,  4.1425e-03,  2.6272e-02,  7.8044e-03, -6.5057e-07,\n",
       "           2.4702e-03, -4.6778e-03, -8.8771e-03,  6.0253e-04, -3.5644e-04,\n",
       "          -2.0956e-02, -3.4521e-05, -4.9365e-04, -3.3663e-03, -1.3388e-02,\n",
       "           4.7657e-02, -1.9077e-04, -4.1259e-02,  2.5779e-04, -4.6909e-05,\n",
       "          -2.1100e-03,  1.5821e-02, -1.5851e-03, -2.2798e-02, -1.1723e-03,\n",
       "          -2.9209e-03,  4.7389e-02, -8.7420e-03,  1.0623e-07, -5.2777e-03,\n",
       "           1.0590e-05,  8.9169e-03,  1.8781e-03, -3.5014e-03, -1.1071e-03,\n",
       "          -1.8998e-02,  4.7246e-04,  1.8722e-03,  4.2517e-03, -9.7277e-03,\n",
       "           1.1379e-01,  1.6831e-03,  5.3460e-04,  3.6644e-02,  2.5876e-05,\n",
       "          -2.5349e-03,  9.7034e-04, -5.0073e-02, -2.1508e-03,  7.5822e-03,\n",
       "           8.1569e-05, -1.8894e-04,  3.3734e-02, -2.7204e-04, -4.2284e-04,\n",
       "          -2.0740e-02,  6.1860e-04, -1.1843e-03,  3.1876e-05, -3.3855e-04,\n",
       "           6.0237e-03,  6.1303e-03, -4.0426e-02, -1.2803e-02,  1.3349e-05,\n",
       "           6.5732e-03,  6.5310e-03, -8.2177e-03,  6.7193e-04, -1.2904e-02,\n",
       "          -1.6654e-05, -2.8739e-02,  2.9202e-04,  4.7997e-05, -1.7372e-03,\n",
       "           6.2682e-04,  5.1338e-04,  4.0697e-02,  2.0613e-03, -8.4309e-04,\n",
       "           1.6291e-02, -3.6693e-03, -1.1402e-02,  4.1287e-02, -1.3060e-06,\n",
       "           1.5254e-03, -3.3509e-05,  2.1896e-03,  4.2073e-04, -2.0208e-04,\n",
       "          -2.0358e-04,  7.1219e-06,  2.4071e-02, -1.3925e-02,  7.2327e-03,\n",
       "          -4.6751e-02,  1.0803e-04,  1.7352e-04,  3.0819e-03,  4.9126e-05,\n",
       "          -8.0732e-04, -1.1116e-04, -1.0279e-02, -1.1858e-02,  1.3434e-02,\n",
       "           5.9016e-03, -2.7143e-03, -4.2946e-04,  0.0000e+00,  1.9901e-03,\n",
       "          -1.5011e-02, -2.1406e-07, -1.2096e-02, -2.1976e-04,  9.1319e-03,\n",
       "           1.4074e-05,  4.2077e-02,  6.8273e-03,  9.7934e-03, -4.9472e-03,\n",
       "          -1.2656e-03, -1.4015e-03,  2.0996e-04, -2.9513e-03, -9.4885e-06,\n",
       "          -2.7418e-04,  6.1582e-04,  5.7598e-03, -2.0323e-03, -6.6063e-05,\n",
       "          -2.7530e-04,  3.1608e-02, -1.8320e-02,  2.9357e-02, -9.8508e-04,\n",
       "           2.2677e-02, -6.8956e-04, -3.0797e-03, -1.4483e-03,  7.4280e-04,\n",
       "          -2.0293e-02, -1.8281e-03,  1.9490e-04, -2.3648e-03,  4.3818e-03,\n",
       "          -1.3791e-03], device='cuda:0'),\n",
       "  tensor([ 7.4520e-02,  3.8974e-02, -4.1735e-05, -2.3286e-05, -3.7066e-04,\n",
       "          -4.8830e-03, -7.6689e-03,  3.1164e-02,  1.0208e-03, -1.1879e-05,\n",
       "           3.9902e-02,  1.3322e-02,  1.2280e-02, -4.5356e-03, -2.8191e-02,\n",
       "           1.4298e-02, -3.2889e-02, -4.2965e-02, -2.2818e-03, -1.6715e-04,\n",
       "          -1.8593e-02,  3.1626e-02, -7.2909e-02,  3.3358e-02,  1.9907e-02,\n",
       "           5.5850e-03,  3.4682e-02,  6.3696e-02, -1.5008e-02,  6.5365e-02,\n",
       "           3.7742e-03,  2.8363e-03,  1.4988e-02,  1.0720e-04,  1.1235e-02,\n",
       "           9.9584e-04, -3.7591e-03,  1.0931e-03, -2.1094e-02, -7.3947e-04,\n",
       "           5.0690e-02,  4.8541e-03,  2.3743e-02, -4.3538e-02,  5.4435e-03,\n",
       "           2.0827e-02,  4.6225e-04, -1.1457e-02, -2.9337e-04, -9.4370e-03,\n",
       "          -5.4243e-03,  7.5499e-03, -1.8538e-02,  2.2677e-02, -1.9397e-02,\n",
       "           3.1358e-02,  1.6971e-02,  4.2118e-02, -5.4654e-04, -6.7163e-03,\n",
       "           7.2329e-04,  9.6778e-03,  5.5594e-03,  5.2568e-03,  0.0000e+00,\n",
       "          -2.8388e-03, -1.7650e-03,  2.4979e-03, -1.1790e-02,  9.1123e-03,\n",
       "           1.6015e-02,  1.1337e-02,  7.5887e-03,  7.4070e-04,  1.2812e-02,\n",
       "           3.0109e-02,  3.7835e-05, -1.0177e-02,  3.7050e-02,  1.9683e-02,\n",
       "          -6.2580e-04,  2.3065e-02,  1.1272e-02,  4.0405e-04, -4.5365e-05,\n",
       "           1.2361e-03,  2.6566e-04,  1.6598e-02, -1.8554e-03, -1.2748e-02,\n",
       "          -3.4864e-03,  5.0646e-03,  2.1682e-02, -7.0398e-05,  2.0616e-03,\n",
       "           1.0766e-03, -1.5496e-02,  2.6410e-03,  5.5709e-02,  9.7580e-04,\n",
       "           0.0000e+00,  1.1194e-02, -2.7650e-04,  6.0850e-03,  4.3740e-04,\n",
       "           1.5995e-03,  1.0277e-03,  1.5943e-03, -3.2561e-02,  1.4036e-02,\n",
       "          -4.7311e-03,  2.3047e-02,  7.9154e-02,  3.6828e-02, -2.6531e-05,\n",
       "           8.1481e-03, -1.8799e-02, -1.2837e-02,  4.5472e-03, -6.4356e-04,\n",
       "          -2.5725e-02, -3.4398e-04, -3.4598e-04, -1.5297e-02, -3.9222e-02,\n",
       "           4.7570e-02, -2.1273e-03, -4.5971e-02, -6.8662e-03, -1.0288e-03,\n",
       "          -3.7836e-03,  1.0590e-02, -5.4586e-03, -5.2258e-02, -3.5493e-03,\n",
       "          -1.0813e-02,  7.4089e-02, -1.6029e-02, -7.2370e-06, -1.3813e-02,\n",
       "          -1.8343e-03,  3.1636e-02,  1.2987e-02, -7.9491e-03, -5.0803e-03,\n",
       "          -3.6949e-02,  2.1102e-03,  8.0350e-03,  9.7168e-03, -2.5676e-02,\n",
       "           6.5930e-02, -5.4661e-03,  4.3196e-03,  2.9124e-02,  1.9173e-04,\n",
       "          -8.5341e-03, -4.9593e-04, -3.8123e-02, -6.8549e-03,  1.8390e-02,\n",
       "           5.2342e-03, -7.4014e-05,  1.8783e-02, -1.6112e-03,  9.1849e-04,\n",
       "          -4.4834e-02,  4.1542e-03, -6.0456e-03,  1.5516e-04,  1.5478e-03,\n",
       "           1.1539e-02,  3.7705e-03, -3.9330e-02, -3.1896e-02,  5.7235e-05,\n",
       "           1.5666e-02,  1.7096e-02, -2.0689e-02,  7.4442e-04, -3.2197e-02,\n",
       "          -3.0751e-05, -3.7198e-02,  2.2618e-03,  3.1996e-04, -8.6858e-03,\n",
       "           1.1507e-03,  3.3478e-03,  5.6315e-02,  6.7754e-03, -1.3233e-02,\n",
       "           3.6718e-02, -1.7732e-02, -3.3089e-02,  1.9787e-02, -8.8273e-05,\n",
       "           6.8194e-03, -3.6531e-04,  5.0951e-03,  1.5300e-03, -6.2059e-04,\n",
       "          -1.9299e-03,  4.3881e-05,  4.9315e-02, -1.3847e-02,  1.3556e-02,\n",
       "          -5.5346e-02,  3.8842e-04,  1.8650e-03, -5.7052e-04,  4.5344e-04,\n",
       "           9.9987e-04, -5.4542e-04, -2.2071e-02, -3.8531e-02,  2.0066e-02,\n",
       "           1.6567e-02, -1.0525e-02, -5.6266e-03,  0.0000e+00,  5.4741e-03,\n",
       "          -2.0160e-02, -3.9940e-05, -2.2275e-02, -5.8943e-04,  9.3297e-03,\n",
       "           2.3031e-04,  4.7034e-02,  2.1793e-02,  3.1068e-02, -5.6508e-03,\n",
       "          -4.0428e-03, -9.5608e-03,  9.3004e-04, -1.7963e-02, -1.1781e-04,\n",
       "          -3.4546e-03,  7.4614e-04,  2.0453e-02, -6.3574e-03, -3.6913e-04,\n",
       "          -2.2606e-03,  9.0197e-02, -5.7848e-02,  8.3083e-02, -4.3102e-03,\n",
       "           6.3146e-02, -5.9400e-03, -1.3184e-02, -6.0653e-03,  5.6253e-03,\n",
       "          -5.6664e-02, -1.1651e-02,  2.0592e-03, -3.7652e-03,  1.6113e-02,\n",
       "          -7.1414e-03], device='cuda:0'),\n",
       "  tensor([[[[ 9.1063e-04,  8.5274e-04,  1.0021e-03],\n",
       "            [ 4.7764e-04,  5.5646e-04,  5.4843e-04],\n",
       "            [ 3.1088e-04,  2.7671e-04,  3.5446e-04]],\n",
       "  \n",
       "           [[ 1.1946e-03,  1.1397e-03,  1.2485e-03],\n",
       "            [ 1.0216e-03,  8.3887e-04,  1.0305e-03],\n",
       "            [ 1.3816e-03,  1.3797e-03,  1.3681e-03]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.9331e-04,  2.6117e-04,  1.7731e-04],\n",
       "            [ 1.9928e-04,  1.2540e-04,  1.0311e-04],\n",
       "            [ 4.0556e-04,  3.6761e-04,  2.8494e-04]],\n",
       "  \n",
       "           [[ 1.2257e-04,  4.7922e-05,  6.1836e-05],\n",
       "            [ 4.3860e-05,  2.2128e-05,  4.7054e-05],\n",
       "            [ 8.1710e-05,  8.7893e-05,  1.1161e-04]],\n",
       "  \n",
       "           [[ 4.2434e-04,  3.7242e-04,  3.8073e-04],\n",
       "            [ 1.2554e-04,  5.8053e-05,  7.7811e-05],\n",
       "            [ 9.5765e-05,  2.1436e-05,  3.5014e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.3451e-03,  1.8146e-03,  8.2986e-04],\n",
       "            [-5.1474e-04, -2.6979e-04, -8.0976e-04],\n",
       "            [ 3.5468e-04,  5.4702e-04,  8.7457e-05]],\n",
       "  \n",
       "           [[ 5.6279e-03,  6.2826e-03,  5.1999e-03],\n",
       "            [ 6.9824e-04,  2.7642e-04, -5.3148e-05],\n",
       "            [ 3.5939e-03,  3.4038e-03,  3.2880e-03]],\n",
       "  \n",
       "           [[ 8.2845e-07,  4.7217e-07,  3.5527e-13],\n",
       "            [-1.0801e-06, -8.5279e-06, -3.4106e-13],\n",
       "            [ 2.6290e-13, -9.2371e-14,  1.3500e-13]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.5549e-04,  4.7642e-04,  3.2449e-04],\n",
       "            [ 1.6259e-04, -2.2814e-05, -5.4570e-05],\n",
       "            [ 1.3201e-03,  1.1305e-03,  8.0382e-04]],\n",
       "  \n",
       "           [[ 3.4036e-04, -2.4507e-05,  5.8791e-05],\n",
       "            [-3.6152e-04, -3.8340e-04, -6.4837e-04],\n",
       "            [ 7.4604e-04,  8.7680e-04,  8.6009e-04]],\n",
       "  \n",
       "           [[ 3.2780e-05,  2.1282e-04, -8.3519e-05],\n",
       "            [ 3.0486e-04,  6.1945e-04,  3.7370e-04],\n",
       "            [ 1.1109e-04,  2.2625e-04,  2.2428e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.2274e-02, -1.2353e-02, -1.2753e-02],\n",
       "            [-1.3581e-02, -1.4238e-02, -1.3751e-02],\n",
       "            [-1.5603e-02, -1.5939e-02, -1.6374e-02]],\n",
       "  \n",
       "           [[-2.4738e-02, -2.6115e-02, -2.6278e-02],\n",
       "            [-3.0047e-02, -3.0614e-02, -3.0900e-02],\n",
       "            [-2.9048e-02, -2.9697e-02, -2.9800e-02]],\n",
       "  \n",
       "           [[-1.0403e-06, -1.0947e-06,  5.9686e-13],\n",
       "            [-1.5281e-06, -5.0062e-06,  2.2737e-13],\n",
       "            [ 2.8422e-14,  2.5580e-13,  8.5265e-14]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-4.0819e-03, -4.2815e-03, -4.8229e-03],\n",
       "            [-7.1483e-03, -6.9901e-03, -7.1584e-03],\n",
       "            [-7.1463e-03, -7.1990e-03, -7.2122e-03]],\n",
       "  \n",
       "           [[-1.1187e-03, -1.2664e-03, -9.9283e-04],\n",
       "            [-2.9662e-03, -3.2551e-03, -3.1524e-03],\n",
       "            [-2.5768e-03, -2.6900e-03, -2.6255e-03]],\n",
       "  \n",
       "           [[-1.9665e-03, -1.8681e-03, -2.1127e-03],\n",
       "            [-1.7444e-03, -1.6783e-03, -1.4658e-03],\n",
       "            [-1.8383e-03, -1.8604e-03, -1.6574e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-7.1132e-03, -7.0140e-03, -5.7805e-03],\n",
       "            [-8.5782e-03, -8.8944e-03, -8.6151e-03],\n",
       "            [-7.7326e-03, -8.2857e-03, -8.0846e-03]],\n",
       "  \n",
       "           [[-1.2865e-02, -1.3112e-02, -1.2445e-02],\n",
       "            [-1.7104e-02, -1.7037e-02, -1.6647e-02],\n",
       "            [-1.7623e-02, -1.7280e-02, -1.6415e-02]],\n",
       "  \n",
       "           [[-2.1032e-12,  2.8422e-13, -4.5475e-13],\n",
       "            [-1.5028e-06,  5.5941e-06,  3.4106e-13],\n",
       "            [-4.5475e-13,  8.5265e-14, -1.1369e-13]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-4.2567e-03, -3.6725e-03, -3.7200e-03],\n",
       "            [-5.4843e-03, -5.1527e-03, -5.2229e-03],\n",
       "            [-6.1424e-03, -6.0547e-03, -5.8369e-03]],\n",
       "  \n",
       "           [[-1.7279e-03, -1.6598e-03, -1.5794e-03],\n",
       "            [-2.8682e-03, -2.8229e-03, -2.6893e-03],\n",
       "            [-1.7889e-03, -1.6545e-03, -1.6236e-03]],\n",
       "  \n",
       "           [[-8.5233e-04, -6.7729e-04, -6.5300e-04],\n",
       "            [-7.8263e-04, -7.2725e-04, -5.3933e-04],\n",
       "            [-6.2523e-04, -8.2511e-04, -4.3420e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.7267e-02,  2.7815e-02,  2.6741e-02],\n",
       "            [ 2.4189e-02,  2.6486e-02,  2.4873e-02],\n",
       "            [ 2.2055e-02,  2.3798e-02,  2.2533e-02]],\n",
       "  \n",
       "           [[ 7.3790e-02,  7.4767e-02,  7.3773e-02],\n",
       "            [ 6.8026e-02,  6.8671e-02,  6.8250e-02],\n",
       "            [ 6.4786e-02,  6.5286e-02,  6.4659e-02]],\n",
       "  \n",
       "           [[ 3.0220e-06,  0.0000e+00,  6.8212e-13],\n",
       "            [-1.6850e-06, -6.6682e-06, -3.4106e-13],\n",
       "            [ 5.1159e-13,  2.5580e-13,  2.1316e-13]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.4843e-02,  2.4998e-02,  2.4056e-02],\n",
       "            [ 2.3027e-02,  2.2817e-02,  2.2374e-02],\n",
       "            [ 2.0982e-02,  2.0806e-02,  2.0048e-02]],\n",
       "  \n",
       "           [[ 3.9799e-03,  4.1688e-03,  3.8106e-03],\n",
       "            [ 2.4139e-03,  2.5834e-03,  2.2888e-03],\n",
       "            [ 2.3741e-03,  2.4441e-03,  2.4049e-03]],\n",
       "  \n",
       "           [[ 2.5843e-03,  2.9268e-03,  2.2838e-03],\n",
       "            [ 2.8898e-03,  3.1341e-03,  2.3594e-03],\n",
       "            [ 3.0449e-03,  3.1815e-03,  3.0123e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.7654e-03, -1.9515e-03, -1.8996e-03],\n",
       "            [-1.6974e-03, -1.9844e-03, -1.9718e-03],\n",
       "            [-1.9392e-03, -2.2529e-03, -2.1207e-03]],\n",
       "  \n",
       "           [[-7.1504e-03, -7.4316e-03, -7.4867e-03],\n",
       "            [-6.4667e-03, -6.1505e-03, -6.6070e-03],\n",
       "            [-5.1984e-03, -5.2574e-03, -5.5106e-03]],\n",
       "  \n",
       "           [[ 7.1054e-14,  1.8474e-13,  7.1054e-14],\n",
       "            [ 8.5265e-14, -2.8422e-14,  0.0000e+00],\n",
       "            [-1.4211e-13,  1.4211e-13, -1.4211e-14]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.4152e-03, -2.6028e-03, -2.5608e-03],\n",
       "            [-2.5020e-03, -2.4474e-03, -2.3054e-03],\n",
       "            [-1.5256e-03, -1.6791e-03, -1.8745e-03]],\n",
       "  \n",
       "           [[-4.3108e-04, -3.1375e-04, -3.3097e-04],\n",
       "            [-1.9680e-04, -1.8459e-04, -1.9404e-04],\n",
       "            [-2.3926e-04, -3.1366e-04, -1.6967e-04]],\n",
       "  \n",
       "           [[-2.3935e-04, -3.1022e-04, -2.9064e-04],\n",
       "            [-2.7581e-04, -2.8431e-04, -2.6531e-04],\n",
       "            [-4.5012e-04, -4.0993e-04, -5.6331e-04]]]], device='cuda:0'),\n",
       "  tensor([ 3.3439e-04, -3.0365e-04, -1.7546e-02,  3.4251e-05, -5.2261e-03,\n",
       "           4.5371e-03,  4.8900e-04, -1.7503e-03, -1.4580e-02,  1.3411e-02,\n",
       "          -4.8381e-04, -1.8455e-03, -1.2315e-02, -1.8885e-02,  9.8500e-05,\n",
       "           1.0331e-02, -1.8318e-02,  3.0271e-03,  3.1642e-03,  3.6857e-02,\n",
       "          -6.8591e-03,  1.2616e-03,  2.7420e-02, -7.8550e-03,  4.4637e-02,\n",
       "           1.0291e-04,  3.3138e-03,  3.8477e-02,  3.0605e-04, -2.6508e-03,\n",
       "          -4.1011e-05, -1.9583e-05,  2.0012e-04, -4.7402e-02,  1.6785e-03,\n",
       "          -5.1279e-03,  3.2304e-02,  1.9870e-03, -3.4961e-03, -4.1727e-02,\n",
       "          -1.5761e-02,  6.9903e-04,  1.1875e-03, -4.9092e-03,  2.3824e-04,\n",
       "          -1.1444e-05,  2.8823e-03,  1.8733e-02,  2.4476e-02,  5.4194e-05,\n",
       "          -1.5815e-04,  2.0183e-02,  1.6946e-02,  2.1583e-03,  3.6638e-02,\n",
       "           9.9090e-04, -1.8458e-02,  1.8760e-02, -1.6500e-03, -1.9507e-03,\n",
       "           1.6342e-02, -2.2551e-03, -5.0704e-03, -1.2435e-02,  3.6752e-04,\n",
       "          -1.4015e-03, -2.0290e-04,  3.0031e-02, -5.9881e-04,  8.4153e-03,\n",
       "          -2.6815e-03,  2.6593e-03,  4.9901e-03, -3.5558e-02,  2.4238e-03,\n",
       "           1.5151e-03,  3.9635e-03,  2.3691e-02,  5.4536e-03, -2.9488e-02,\n",
       "           2.8303e-02, -1.8566e-02,  1.1183e-03, -5.7296e-03, -4.6481e-02,\n",
       "          -1.1101e-05,  2.6740e-04, -2.4834e-02,  3.0626e-02,  2.6380e-04,\n",
       "           2.1978e-03, -2.3668e-03,  8.9333e-03,  5.2641e-02,  3.8843e-02,\n",
       "          -1.1975e-03,  5.9200e-04, -1.6730e-02, -4.8313e-02,  3.7690e-03,\n",
       "          -3.7822e-07, -1.3949e-02,  5.4423e-04, -1.1353e-02, -1.7978e-03,\n",
       "           1.0487e-03, -1.2302e-03,  3.9986e-02, -2.3196e-04, -1.5630e-03,\n",
       "           1.2200e-03,  2.5815e-02, -1.1979e-02,  3.7887e-02,  6.4044e-02,\n",
       "           8.0917e-03, -4.2769e-03, -5.9128e-03, -2.5244e-02,  1.4681e-02,\n",
       "           9.1922e-05,  1.5341e-02, -8.8851e-05, -1.3115e-02, -1.3726e-02,\n",
       "           1.3440e-03,  1.9770e-02,  3.1537e-02, -1.4955e-02, -4.8301e-04,\n",
       "          -5.9284e-03, -3.6147e-03, -6.9526e-03, -1.7611e-04, -2.8248e-03,\n",
       "           1.0372e-02,  9.2831e-03,  1.5665e-03,  7.8678e-02,  1.3062e-02,\n",
       "          -2.7449e-04,  1.7651e-02,  4.4580e-03, -8.8136e-04,  1.0720e-02,\n",
       "          -1.1831e-02, -1.2727e-03, -4.4100e-03, -5.2805e-03, -1.4255e-03,\n",
       "          -2.0339e-04, -2.0331e-02,  2.7032e-03, -5.3896e-06, -1.7744e-05,\n",
       "          -1.3770e-02,  2.6517e-02, -4.4457e-03,  3.8491e-03,  3.7218e-02,\n",
       "           1.6126e-02,  2.9607e-02,  7.0737e-05, -1.1013e-03,  7.9716e-03,\n",
       "          -2.9252e-02, -2.2534e-03,  2.2355e-02,  1.0208e-03,  1.0019e-01,\n",
       "           3.7636e-03, -1.0179e-03,  4.9048e-02,  3.6637e-04, -2.0757e-06,\n",
       "           2.0759e-02,  8.5394e-04,  1.6904e-02, -7.0645e-04, -2.1292e-03,\n",
       "          -6.8612e-03, -1.6335e-02, -2.0852e-02,  2.1979e-03, -1.9509e-03,\n",
       "           1.0958e-02,  9.3309e-04,  1.1460e-02, -2.3213e-03, -1.0180e-02,\n",
       "          -8.4347e-04,  2.1254e-04, -2.8646e-02,  3.0889e-05,  2.2343e-02,\n",
       "          -1.1947e-02, -1.1014e-03,  7.6222e-04, -3.4289e-04,  1.0200e-02,\n",
       "          -8.0412e-03, -7.3134e-03,  1.0389e-03, -6.8011e-03, -1.3351e-05,\n",
       "           9.8728e-04,  8.4746e-04,  3.3875e-04, -2.1398e-02,  4.7156e-03,\n",
       "           2.7731e-05,  2.2359e-03, -1.1196e-02,  5.8782e-06, -5.9905e-02,\n",
       "          -3.8892e-03,  2.1364e-03,  4.7583e-04,  8.9217e-02,  1.9725e-02,\n",
       "           5.6815e-03,  7.6650e-04, -5.8779e-03, -3.7839e-04,  4.8703e-04,\n",
       "           1.7377e-03,  5.9867e-02,  3.0039e-05, -5.1982e-02, -3.8436e-05,\n",
       "           5.4671e-04,  3.2012e-04,  3.5487e-03, -7.0259e-03, -1.0254e-05,\n",
       "           3.5012e-03, -4.5951e-03,  3.1629e-03,  3.2289e-02,  1.2397e-02,\n",
       "           1.2148e-03,  7.6229e-04,  5.2533e-04,  4.2884e-02, -3.7434e-04,\n",
       "          -1.8125e-02,  4.2081e-03,  1.8533e-02, -3.7524e-02,  1.6539e-03,\n",
       "           7.5817e-03, -8.9222e-03,  4.3494e-03, -2.8743e-03,  5.0118e-02,\n",
       "           5.0753e-04], device='cuda:0'),\n",
       "  tensor([ 1.7170e-03,  3.5393e-03, -4.0884e-02, -4.3501e-05,  1.1990e-02,\n",
       "           1.3805e-02,  2.1437e-03,  1.5893e-03, -4.9394e-02,  2.7975e-02,\n",
       "           2.1155e-03, -2.5989e-02, -1.6525e-02, -2.2967e-02,  2.3097e-03,\n",
       "           2.3769e-02, -1.7821e-02,  8.1310e-03, -6.1411e-03,  6.1008e-02,\n",
       "          -4.5950e-03,  5.1220e-02,  3.2036e-02, -1.8669e-02,  5.3849e-02,\n",
       "          -9.9328e-05,  4.7872e-02,  5.9306e-02,  1.3504e-03, -1.5591e-02,\n",
       "           1.8243e-03,  3.9770e-05,  1.9739e-03, -9.9692e-02, -4.0463e-03,\n",
       "          -1.4392e-02,  5.0447e-02,  1.7755e-02,  5.7832e-03, -5.0455e-02,\n",
       "           3.3876e-02,  5.3430e-03,  4.8836e-03,  2.4395e-03, -2.0326e-03,\n",
       "           1.0694e-04,  1.1437e-02,  1.9067e-02,  6.4228e-02, -2.3322e-03,\n",
       "          -5.3177e-03,  3.3291e-02,  2.2570e-02,  9.2010e-03,  4.0075e-02,\n",
       "          -8.3082e-03, -1.0330e-02,  2.8896e-02, -2.7309e-04, -1.6804e-02,\n",
       "           4.7114e-02,  4.7719e-03, -2.0720e-02, -3.2561e-02, -8.8634e-04,\n",
       "           1.0064e-02,  4.3465e-03,  3.2109e-02,  1.7538e-04, -4.1672e-02,\n",
       "          -3.3123e-03, -2.2566e-02,  7.9259e-03, -6.5747e-02, -5.3297e-03,\n",
       "          -2.9412e-02, -7.3275e-04,  1.9198e-02, -9.7085e-03, -3.0009e-02,\n",
       "           2.2627e-02, -1.3167e-02, -1.3007e-02, -8.7556e-03, -7.3869e-02,\n",
       "           1.9827e-03,  1.1579e-03, -4.3094e-02,  4.6997e-02,  1.4629e-02,\n",
       "          -2.3245e-02,  1.4590e-02,  1.1054e-02,  3.8766e-02,  3.0737e-02,\n",
       "          -7.6437e-03, -1.4613e-02, -2.3045e-02, -5.3138e-02,  5.7926e-02,\n",
       "           6.3672e-05, -1.9315e-02,  1.3852e-03, -2.3958e-02,  6.7494e-03,\n",
       "           1.3005e-03, -8.8542e-03,  4.4374e-02, -8.5751e-03,  1.7635e-02,\n",
       "           1.4480e-02,  3.1355e-02, -3.1570e-02,  9.8196e-02,  6.5733e-02,\n",
       "           3.4011e-02,  3.2164e-02, -2.5254e-02, -2.9595e-02,  1.6675e-02,\n",
       "           2.5450e-03,  2.6973e-02, -6.9468e-04, -3.9997e-02, -3.1643e-02,\n",
       "          -2.2268e-02,  3.6160e-02,  5.0322e-02, -2.6180e-02, -1.3462e-02,\n",
       "          -1.2332e-02,  1.0241e-02, -2.8705e-02, -2.2149e-02,  9.9405e-03,\n",
       "          -4.2728e-02,  2.0847e-02, -5.4862e-03,  6.2574e-02,  4.1404e-02,\n",
       "          -1.3588e-03,  7.4038e-02,  2.1951e-02,  4.7793e-03,  1.7523e-02,\n",
       "          -3.0305e-02, -1.8101e-04, -1.3484e-02,  1.0953e-02, -8.9700e-03,\n",
       "          -1.6678e-03, -1.1203e-02, -6.3651e-03,  4.9541e-04,  9.2699e-05,\n",
       "           1.4605e-02,  3.0319e-02, -8.7476e-03, -5.7030e-03,  4.4859e-02,\n",
       "           4.0902e-02,  3.2825e-02,  8.3268e-04,  1.6658e-02,  5.6643e-03,\n",
       "           4.4416e-02, -4.2295e-03,  2.6799e-02,  1.0427e-02,  9.5454e-02,\n",
       "          -6.0535e-03,  2.1861e-03,  6.4673e-02,  3.9368e-04, -2.5703e-05,\n",
       "           2.5826e-02, -1.2591e-02,  2.5869e-02, -3.0387e-03,  8.6412e-03,\n",
       "          -7.4637e-03, -1.3343e-02, -1.6823e-02,  7.7711e-03, -1.3742e-02,\n",
       "           3.8532e-02,  4.3854e-04,  3.3288e-02, -6.2018e-03, -1.9811e-02,\n",
       "           1.0685e-03,  1.7264e-03, -5.7535e-02, -2.5926e-04,  4.5680e-02,\n",
       "          -4.2622e-02,  9.5214e-03,  5.3493e-03, -2.0981e-03,  5.8355e-02,\n",
       "          -1.8985e-02, -3.0934e-03, -1.8898e-02, -1.9889e-02,  8.2432e-05,\n",
       "          -3.7234e-02, -1.3391e-02,  1.7658e-03, -3.2225e-02, -1.0874e-02,\n",
       "          -1.3945e-03,  1.4570e-04,  1.1612e-02, -1.2325e-05, -5.4586e-02,\n",
       "          -1.5552e-02,  3.2212e-02,  2.4132e-03,  6.5568e-02,  3.6504e-02,\n",
       "           4.9908e-03,  7.3209e-03, -3.8006e-02, -3.5316e-03,  5.5643e-02,\n",
       "           7.9487e-03,  8.9988e-02,  2.6522e-03, -4.8043e-02,  3.5619e-03,\n",
       "           2.5355e-03,  3.6044e-03,  2.3862e-02, -1.9702e-02, -5.1454e-05,\n",
       "          -7.7039e-03, -4.9199e-02, -2.6709e-02,  6.4559e-02,  1.7542e-02,\n",
       "          -1.7836e-03,  4.5393e-03,  1.8953e-03,  7.0381e-02,  1.1896e-03,\n",
       "          -2.7500e-02,  3.2322e-02,  2.5360e-02, -5.8536e-02, -3.3897e-02,\n",
       "           2.0226e-02, -1.9280e-02,  1.3056e-02, -1.6694e-02,  6.8909e-02,\n",
       "          -6.2127e-03], device='cuda:0'),\n",
       "  tensor([[[[ 6.4293e-05,  8.8737e-05,  7.0272e-05],\n",
       "            [ 2.6390e-05,  3.8221e-05,  4.7075e-05],\n",
       "            [-5.9444e-05, -5.8557e-05, -7.9800e-06]],\n",
       "  \n",
       "           [[ 5.7750e-03,  5.8028e-03,  5.7988e-03],\n",
       "            [ 5.3621e-03,  5.2749e-03,  5.2294e-03],\n",
       "            [ 5.4393e-03,  5.1918e-03,  4.8539e-03]],\n",
       "  \n",
       "           [[ 5.5472e-03,  5.3825e-03,  5.7593e-03],\n",
       "            [ 4.8561e-03,  5.1151e-03,  4.9018e-03],\n",
       "            [ 5.3376e-03,  5.3599e-03,  4.8865e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 7.2843e-05,  9.6178e-05,  8.6240e-05],\n",
       "            [ 1.3118e-04,  7.3057e-05,  1.0644e-05],\n",
       "            [ 4.9336e-06,  1.0945e-04,  8.6058e-05]],\n",
       "  \n",
       "           [[ 5.6403e-03,  5.5913e-03,  5.4123e-03],\n",
       "            [ 5.2209e-03,  5.2660e-03,  4.9003e-03],\n",
       "            [ 5.1049e-03,  5.2346e-03,  4.9796e-03]],\n",
       "  \n",
       "           [[ 2.5013e-04,  2.8723e-04,  4.1708e-04],\n",
       "            [ 2.2094e-04,  1.4626e-04,  2.5924e-04],\n",
       "            [ 9.4730e-05,  3.0868e-05,  1.0247e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.2971e-05, -1.0050e-04, -1.4316e-04],\n",
       "            [-6.0915e-05, -5.4952e-05, -7.2767e-05],\n",
       "            [ 4.9276e-06, -3.1451e-05, -5.1272e-05]],\n",
       "  \n",
       "           [[-2.1593e-02, -2.3337e-02, -2.3565e-02],\n",
       "            [-2.2753e-02, -2.4288e-02, -2.4836e-02],\n",
       "            [-2.0368e-02, -2.2150e-02, -2.2624e-02]],\n",
       "  \n",
       "           [[-1.9604e-02, -2.0681e-02, -2.1616e-02],\n",
       "            [-2.0371e-02, -2.2184e-02, -2.2417e-02],\n",
       "            [-1.9879e-02, -2.1071e-02, -2.1683e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.0145e-04, -2.1235e-04, -2.7838e-04],\n",
       "            [-3.9030e-04, -4.0305e-04, -3.1599e-04],\n",
       "            [-1.7179e-04, -2.4657e-04, -1.4555e-04]],\n",
       "  \n",
       "           [[-1.8117e-02, -1.8640e-02, -1.9286e-02],\n",
       "            [-1.8746e-02, -1.9514e-02, -2.0419e-02],\n",
       "            [-1.9132e-02, -1.9566e-02, -2.0553e-02]],\n",
       "  \n",
       "           [[-1.1886e-03, -1.4655e-03, -1.1989e-03],\n",
       "            [-1.5674e-03, -1.9134e-03, -1.7442e-03],\n",
       "            [-1.2313e-03, -1.7207e-03, -1.4979e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[ 5.8275e-06,  7.1913e-06,  3.4182e-05],\n",
       "            [ 2.2703e-05,  4.7512e-05,  1.0310e-06],\n",
       "            [-2.2351e-05, -2.8633e-05, -2.2882e-05]],\n",
       "  \n",
       "           [[ 7.6006e-03,  8.9268e-03,  9.3067e-03],\n",
       "            [ 7.8988e-03,  9.6783e-03,  1.0161e-02],\n",
       "            [ 8.0424e-03,  9.7472e-03,  1.0548e-02]],\n",
       "  \n",
       "           [[ 5.7673e-03,  6.6231e-03,  7.3483e-03],\n",
       "            [ 6.1645e-03,  7.6560e-03,  7.9888e-03],\n",
       "            [ 7.0694e-03,  8.5601e-03,  9.4101e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.9493e-05,  1.5467e-04,  1.3175e-04],\n",
       "            [ 1.3159e-04,  1.9955e-04,  1.8689e-04],\n",
       "            [ 1.9649e-05,  5.7322e-05,  1.7297e-05]],\n",
       "  \n",
       "           [[ 5.1925e-03,  5.4867e-03,  5.9812e-03],\n",
       "            [ 5.4542e-03,  5.9512e-03,  6.8977e-03],\n",
       "            [ 6.0039e-03,  6.4514e-03,  7.3509e-03]],\n",
       "  \n",
       "           [[ 2.8409e-04,  3.8441e-04,  2.5445e-04],\n",
       "            [ 1.7985e-04,  4.4965e-04,  2.5625e-04],\n",
       "            [ 4.7648e-04,  5.7394e-04,  3.1146e-04]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-4.5377e-04, -5.4735e-04, -3.4917e-04],\n",
       "            [-2.9252e-04, -2.3004e-04, -3.2213e-04],\n",
       "            [-4.6004e-04, -5.4287e-04, -4.0373e-04]],\n",
       "  \n",
       "           [[-6.3584e-02, -6.5432e-02, -6.5625e-02],\n",
       "            [-6.6072e-02, -6.8392e-02, -6.6864e-02],\n",
       "            [-6.4486e-02, -6.5481e-02, -6.5139e-02]],\n",
       "  \n",
       "           [[-6.3038e-02, -6.3752e-02, -6.4621e-02],\n",
       "            [-6.0188e-02, -6.0804e-02, -6.1156e-02],\n",
       "            [-6.0493e-02, -6.0969e-02, -6.1202e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-8.2632e-04, -1.1055e-03, -9.5737e-04],\n",
       "            [-1.4620e-03, -1.6044e-03, -1.5579e-03],\n",
       "            [-1.1685e-03, -1.3516e-03, -1.1812e-03]],\n",
       "  \n",
       "           [[-5.6519e-02, -5.8941e-02, -5.8187e-02],\n",
       "            [-5.7488e-02, -5.7754e-02, -5.8689e-02],\n",
       "            [-5.3619e-02, -5.5498e-02, -5.4870e-02]],\n",
       "  \n",
       "           [[-1.2643e-03, -2.0801e-03, -1.3489e-03],\n",
       "            [-1.1966e-03, -1.4067e-03, -1.3488e-03],\n",
       "            [-8.7504e-04, -1.5076e-03, -9.3862e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-4.5672e-05, -6.7043e-05, -3.2480e-05],\n",
       "            [-2.2162e-06, -8.9721e-06, -7.8493e-06],\n",
       "            [ 4.6984e-05,  5.0531e-05,  1.0987e-05]],\n",
       "  \n",
       "           [[-9.5086e-03, -1.0097e-02, -1.0581e-02],\n",
       "            [-1.2118e-02, -1.3056e-02, -1.3635e-02],\n",
       "            [-1.2250e-02, -1.3188e-02, -1.3263e-02]],\n",
       "  \n",
       "           [[-8.1189e-03, -8.4454e-03, -9.2631e-03],\n",
       "            [-9.4315e-03, -9.5320e-03, -1.0101e-02],\n",
       "            [-1.0995e-02, -1.1329e-02, -1.1953e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.3235e-04, -2.1805e-04, -2.8816e-04],\n",
       "            [-3.5537e-04, -4.2083e-04, -4.1637e-04],\n",
       "            [-8.8379e-05, -2.4316e-04, -1.5303e-04]],\n",
       "  \n",
       "           [[-7.6489e-03, -7.6522e-03, -8.1167e-03],\n",
       "            [-8.3246e-03, -8.7793e-03, -9.2204e-03],\n",
       "            [-8.8479e-03, -9.2980e-03, -9.2030e-03]],\n",
       "  \n",
       "           [[-2.4968e-04, -2.7152e-04, -2.9289e-04],\n",
       "            [-3.4906e-04, -3.9567e-04, -3.3561e-04],\n",
       "            [-2.9586e-04, -3.2229e-04, -3.6162e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  1.4217e-05,  1.6089e-05],\n",
       "            [ 0.0000e+00,  2.9399e-07, -2.7874e-05],\n",
       "            [-1.6272e-06, -5.3782e-06, -6.6585e-06]],\n",
       "  \n",
       "           [[-6.6455e-05, -2.9034e-05, -6.9108e-05],\n",
       "            [ 1.0775e-04,  1.5167e-04,  1.9029e-04],\n",
       "            [ 1.0487e-04,  1.7712e-04,  1.5637e-04]],\n",
       "  \n",
       "           [[-1.8294e-04, -2.3103e-04, -1.3901e-04],\n",
       "            [-1.3928e-04, -1.0534e-04, -8.0553e-05],\n",
       "            [ 9.6783e-06,  4.4646e-05, -3.8407e-06]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.3395e-06,  4.3578e-06,  6.6666e-06],\n",
       "            [ 0.0000e+00,  1.0417e-06,  0.0000e+00],\n",
       "            [ 5.1501e-06,  5.1407e-05,  4.4526e-05]],\n",
       "  \n",
       "           [[-2.7550e-04, -1.8989e-04, -1.7524e-04],\n",
       "            [-1.5820e-05, -1.6890e-04, -2.6175e-04],\n",
       "            [-9.0714e-05, -4.0415e-05, -6.6094e-05]],\n",
       "  \n",
       "           [[-4.4638e-05, -1.7681e-05, -2.4548e-06],\n",
       "            [-2.3118e-05, -1.7629e-05, -2.0383e-05],\n",
       "            [ 6.3450e-06,  7.5532e-06, -2.7848e-06]]]], device='cuda:0'),\n",
       "  tensor([ 5.1472e-04, -3.8296e-03,  6.9671e-04,  3.5452e-02,  6.6765e-05,\n",
       "          -1.6812e-04, -7.5425e-07, -9.5162e-04, -1.8964e-04,  7.3589e-02,\n",
       "           5.4846e-05, -2.5161e-02, -8.3800e-04, -1.9718e-02, -1.2777e-04,\n",
       "          -5.4607e-03, -3.6356e-04,  0.0000e+00, -1.1821e-02, -3.1273e-03,\n",
       "          -4.7719e-03, -4.7966e-03,  3.5300e-06, -8.1726e-03, -4.2833e-03,\n",
       "          -1.1575e-02, -4.2185e-03,  4.0811e-03,  2.0478e-04,  1.8418e-02,\n",
       "           5.6106e-04, -2.9823e-05,  0.0000e+00,  1.1245e-02,  1.4880e-03,\n",
       "          -3.5189e-03, -1.2118e-05, -3.1010e-03,  4.9848e-03, -6.5789e-03,\n",
       "          -7.7187e-03, -5.1272e-02,  4.7045e-06, -4.7040e-03, -2.9241e-03,\n",
       "          -1.6735e-02, -7.1316e-03, -1.1781e-03,  1.2575e-02,  6.6760e-03,\n",
       "          -1.5909e-03, -2.9986e-05, -2.8344e-03, -1.9958e-02,  5.6324e-05,\n",
       "          -1.3054e-02,  2.2312e-04,  1.8828e-02, -3.1506e-03, -1.1028e-02,\n",
       "          -1.1404e-02, -7.9484e-04, -3.9195e-02, -2.8991e-05,  3.6727e-04,\n",
       "           3.5278e-02,  1.4997e-03, -3.1038e-05, -1.4530e-04,  2.6012e-03,\n",
       "          -2.0434e-03,  7.0445e-05,  7.5925e-07, -1.3916e-04,  3.2945e-03,\n",
       "           9.7970e-03,  2.7331e-03, -1.2804e-06, -1.3218e-06,  1.7085e-04,\n",
       "           1.9747e-02,  2.0252e-06,  3.1873e-03, -6.3447e-06, -1.3937e-02,\n",
       "           1.1295e-02,  3.1628e-04, -2.1125e-04,  1.2962e-02, -1.3423e-03,\n",
       "          -7.2260e-03,  5.2367e-05, -2.2952e-03,  7.4870e-06, -6.1425e-03,\n",
       "           2.3421e-03,  4.4468e-04, -1.3843e-05,  3.1477e-02, -2.5775e-04,\n",
       "          -2.5847e-04, -1.4000e-02,  3.7581e-05, -1.0220e-04,  4.4631e-04,\n",
       "          -8.1719e-03,  1.1356e-04,  0.0000e+00,  2.3492e-03,  1.7286e-02,\n",
       "           5.1644e-03,  1.1576e-02,  7.8054e-04,  2.1263e-02,  1.3444e-02,\n",
       "           1.5927e-02, -1.6905e-05,  9.1655e-05,  6.6342e-03,  6.7198e-04,\n",
       "          -5.5854e-04, -3.5265e-04, -2.6991e-05,  3.9774e-03, -1.7613e-03,\n",
       "          -1.4758e-04,  1.0906e-05, -5.1763e-03, -3.8938e-03,  1.9932e-04,\n",
       "           1.0569e-02,  1.4800e-02,  0.0000e+00, -5.4373e-04, -6.8062e-05,\n",
       "          -5.7689e-03,  2.6290e-02,  5.3298e-03,  1.1963e-02,  3.5404e-02,\n",
       "          -6.9271e-04, -5.8329e-02, -4.6308e-05,  1.2433e-02, -1.3929e-02,\n",
       "          -4.0366e-03,  5.1779e-03,  2.0384e-02, -1.8880e-02, -1.9847e-05,\n",
       "           1.4505e-02, -1.7960e-04, -1.8219e-03, -4.6946e-02, -6.7160e-06,\n",
       "          -7.7304e-04,  3.2019e-02, -1.2649e-02, -6.7986e-02, -6.5748e-05,\n",
       "           0.0000e+00,  4.3081e-02, -4.0053e-04,  4.5427e-04,  2.9822e-04,\n",
       "           6.7963e-04,  6.4536e-03,  1.2275e-06, -1.2885e-02, -1.8490e-02,\n",
       "          -1.0578e-03, -1.3654e-06,  8.9477e-05,  1.6326e-04, -1.2220e-04,\n",
       "          -6.8818e-03,  0.0000e+00,  0.0000e+00,  2.3454e-05,  1.0626e-02,\n",
       "           2.3238e-05, -1.4120e-05, -6.6551e-04,  5.1123e-05, -1.0679e-03,\n",
       "           1.0669e-03,  2.3154e-04, -3.6272e-03,  7.5452e-04,  5.9555e-02,\n",
       "          -4.7989e-02, -1.5362e-06,  2.1386e-03, -6.0677e-07,  2.2448e-02,\n",
       "           8.1128e-03,  5.6379e-04,  2.2783e-02, -1.1342e-03,  4.6231e-03,\n",
       "          -9.2467e-06, -2.5608e-05, -2.6112e-04, -2.3354e-09, -4.2479e-03,\n",
       "           6.7173e-04,  1.2084e-05,  5.9820e-06, -2.3797e-05, -3.1762e-03,\n",
       "           9.4082e-04,  1.8633e-02,  0.0000e+00, -1.2418e-02, -7.8178e-05,\n",
       "          -5.4474e-04, -6.4026e-03,  9.6624e-05,  7.0814e-02, -6.0867e-02,\n",
       "           0.0000e+00,  2.6664e-06,  1.3544e-03,  1.0154e-03,  6.9052e-04,\n",
       "           0.0000e+00, -1.4541e-03,  0.0000e+00, -2.8269e-04,  1.1717e-04,\n",
       "           1.9092e-03,  1.3480e-05,  8.1034e-03,  7.6195e-03,  1.7408e-06,\n",
       "           4.3280e-04,  4.5092e-02,  9.9294e-03,  6.4897e-04, -1.8224e-03,\n",
       "          -1.4593e-02,  2.5885e-03,  1.6660e-03, -2.2978e-03, -8.1369e-02,\n",
       "           1.8519e-02, -9.1924e-04, -1.4871e-03,  1.4257e-02,  4.8508e-04,\n",
       "          -6.2305e-04, -2.6143e-03,  2.0593e-03, -5.5831e-03, -3.8723e-05,\n",
       "          -1.9064e-05, -3.2783e-02, -2.3338e-03, -2.3120e-02,  2.6319e-06,\n",
       "          -1.3189e-03, -4.4277e-04,  1.3940e-04, -6.0864e-07,  3.6581e-05,\n",
       "          -1.1842e-02,  1.8726e-04,  8.2047e-06,  3.5872e-04,  3.5607e-03,\n",
       "           3.4494e-04, -2.5256e-02, -8.0699e-04,  6.7636e-03,  9.7433e-03,\n",
       "          -9.5903e-06,  1.6607e-03, -2.4522e-03, -1.4596e-05,  2.0740e-02,\n",
       "           3.7665e-06, -4.3457e-04, -5.5648e-03,  1.4682e-02,  5.8092e-02,\n",
       "          -8.8065e-03,  2.6685e-02, -3.9312e-04,  2.1500e-02,  4.8695e-04,\n",
       "          -1.7154e-08,  7.7133e-02, -4.4208e-05,  5.9565e-06,  1.7920e-02,\n",
       "           4.1810e-03,  1.3670e-04, -3.9269e-04, -5.4573e-03,  0.0000e+00,\n",
       "           0.0000e+00, -3.9133e-05,  4.3878e-05,  1.8420e-04,  5.4465e-02,\n",
       "          -1.3448e-03, -7.0335e-03,  0.0000e+00, -4.3664e-04, -1.4235e-07,\n",
       "          -4.4971e-03,  0.0000e+00, -5.0304e-03,  6.9719e-05,  4.0889e-02,\n",
       "           2.6175e-02, -8.5893e-05,  8.6623e-05, -1.2630e-03,  7.8362e-03,\n",
       "           1.4144e-03,  1.6716e-02,  0.0000e+00, -4.8460e-06,  9.8100e-04,\n",
       "          -3.8818e-03,  2.6232e-02,  0.0000e+00,  0.0000e+00,  2.2534e-04,\n",
       "           3.0112e-03,  1.0759e-03,  1.2619e-02,  2.0540e-02,  1.0710e-03,\n",
       "           1.2853e-02,  1.7784e-04,  1.2524e-05, -1.0501e-02,  2.6730e-02,\n",
       "          -2.5548e-03, -5.4622e-03,  2.6011e-03,  1.6012e-02, -2.7677e-03,\n",
       "           3.3296e-03, -2.0940e-05,  7.0288e-03, -5.6333e-02, -2.4518e-03,\n",
       "           7.7663e-05,  1.8494e-02,  2.6931e-04, -8.9264e-03,  2.5819e-03,\n",
       "          -2.4229e-04,  1.6178e-03, -5.2421e-04, -1.6758e-02, -4.2614e-03,\n",
       "          -2.3693e-03,  3.5246e-02,  9.5435e-02,  1.8412e-02, -7.2946e-03,\n",
       "          -2.4581e-03, -7.9905e-04,  1.2072e-02,  2.3834e-02,  2.1324e-04,\n",
       "          -2.0386e-02,  1.0275e-02, -2.8483e-02,  9.5108e-03, -1.2039e-03,\n",
       "           1.0479e-04,  2.0753e-04, -2.4640e-05, -9.6776e-03, -9.4925e-04,\n",
       "           1.9697e-05,  8.5289e-05, -3.1897e-05, -8.9440e-04,  2.2723e-02,\n",
       "           3.7401e-02,  6.9765e-05,  1.6461e-02,  3.1051e-02, -7.5640e-05,\n",
       "           1.9174e-02, -5.8155e-03, -1.1382e-03, -2.0632e-02, -1.7761e-03,\n",
       "           6.2264e-03,  1.2993e-03,  3.1234e-04,  1.5850e-03,  9.1697e-04,\n",
       "          -2.5238e-03,  1.3780e-04, -3.9865e-03,  1.5830e-05, -4.4366e-02,\n",
       "           1.1120e-02, -4.2214e-03,  1.1093e-02, -1.0518e-02, -1.5119e-02,\n",
       "          -3.4808e-02,  4.8640e-04, -3.3274e-05, -2.3396e-03,  1.1821e-04,\n",
       "           1.1258e-02, -1.4024e-03,  8.9065e-02,  1.0900e-03, -8.6687e-05,\n",
       "           4.2474e-04,  2.8282e-05, -2.5443e-07,  6.6932e-04, -3.0762e-04,\n",
       "          -1.4110e-03,  2.0330e-02, -1.5881e-05,  9.9570e-03,  0.0000e+00,\n",
       "          -3.2506e-03, -6.5458e-03,  3.5262e-02,  3.2204e-03, -1.5517e-03,\n",
       "           4.7724e-03, -1.6796e-02,  1.3160e-03,  2.8117e-03,  7.9625e-03,\n",
       "           1.0972e-03,  8.1721e-02,  1.4056e-02, -1.0580e-02,  1.4402e-02,\n",
       "           6.6744e-03, -4.0832e-02, -1.6215e-04, -2.7449e-03, -1.2731e-04,\n",
       "           6.9612e-04, -1.8728e-02, -4.7572e-02, -1.9745e-03, -2.3075e-02,\n",
       "           2.0563e-03, -1.1891e-02, -3.8722e-03,  1.0792e-02, -2.1136e-04,\n",
       "          -1.6443e-02, -3.4557e-02, -1.0644e-06,  0.0000e+00, -2.7850e-02,\n",
       "           2.1922e-04,  7.8692e-03, -1.8859e-01,  3.4586e-04,  2.0249e-03,\n",
       "           5.8182e-02, -2.6473e-03,  6.0787e-04,  1.5168e-02,  1.9205e-04,\n",
       "          -2.6212e-03, -3.1926e-05,  3.7923e-02,  0.0000e+00,  7.3631e-04,\n",
       "          -1.1875e-03,  1.0130e-02,  7.9094e-03, -6.0362e-05,  1.9683e-04,\n",
       "          -5.0097e-06,  3.9987e-04, -5.1384e-03,  4.8207e-04,  1.9421e-03,\n",
       "          -9.5569e-04, -3.8099e-02,  1.7255e-02, -2.9758e-05, -5.8360e-05,\n",
       "           1.5288e-02, -9.2398e-05, -3.7981e-03,  2.2473e-03, -1.5355e-04,\n",
       "           1.3611e-03,  1.3892e-02,  0.0000e+00,  1.2763e-03,  8.0491e-04,\n",
       "          -1.0500e-02,  2.9245e-02, -3.0229e-03, -3.7294e-04, -2.3786e-02,\n",
       "          -2.0341e-03, -3.9635e-06], device='cuda:0'),\n",
       "  tensor([ 3.9619e-03, -1.1181e-02,  4.7778e-03,  5.7109e-02,  4.8895e-04,\n",
       "          -1.0932e-03, -4.9359e-05, -8.7853e-04, -8.4373e-04,  5.2137e-02,\n",
       "           3.6817e-04, -2.0539e-02, -5.2197e-03, -2.0253e-02, -1.0697e-03,\n",
       "          -1.6736e-02, -4.0315e-03,  0.0000e+00, -1.8807e-02, -9.0513e-03,\n",
       "          -1.1752e-02, -3.5541e-03, -3.8758e-06, -7.1455e-03, -2.2827e-02,\n",
       "          -7.7877e-03, -4.5551e-03,  1.5281e-02,  1.3066e-03,  2.6029e-02,\n",
       "           3.9698e-04, -1.9689e-04,  0.0000e+00,  1.9989e-02,  5.4207e-03,\n",
       "          -7.2834e-03, -6.6014e-05, -9.3871e-03,  8.9609e-03, -1.1958e-02,\n",
       "          -2.1978e-02, -3.0353e-02,  2.0393e-05, -6.2578e-03, -3.4617e-03,\n",
       "          -1.2704e-02, -2.1686e-02, -8.4064e-03,  1.7531e-02,  4.9770e-03,\n",
       "          -6.7328e-03, -4.3710e-04, -1.5403e-02, -1.6985e-02, -1.6437e-03,\n",
       "          -1.4561e-02,  1.6426e-03,  2.7707e-02, -1.5392e-02, -1.3686e-02,\n",
       "          -2.8356e-02, -3.1929e-03, -4.4563e-02, -8.5070e-05,  2.0328e-03,\n",
       "           2.6961e-02,  9.7989e-03, -4.7724e-04, -1.3316e-03,  3.2073e-03,\n",
       "          -9.1047e-03,  6.3284e-04,  6.0072e-05, -3.7221e-04,  1.0500e-02,\n",
       "           2.4490e-02,  4.3424e-03, -4.6247e-05, -1.7072e-05,  1.1500e-03,\n",
       "           1.7909e-02,  8.1863e-05,  1.4066e-02, -8.1917e-05, -1.1565e-02,\n",
       "           1.3528e-02,  4.7155e-04, -1.3190e-03,  1.4315e-02, -9.5748e-03,\n",
       "          -2.2328e-02,  2.4617e-04, -1.1460e-02,  8.2705e-05, -1.7439e-02,\n",
       "           9.3910e-03,  3.3665e-03, -1.8251e-05,  1.6232e-02, -5.9402e-04,\n",
       "          -1.8748e-03, -1.8712e-02,  4.5643e-04, -9.3842e-04,  8.3165e-04,\n",
       "          -2.2311e-02,  9.8260e-04,  0.0000e+00,  9.6395e-03,  1.9663e-02,\n",
       "           9.0918e-03,  2.7059e-02,  4.2454e-03,  2.0508e-02,  2.0235e-02,\n",
       "           1.2055e-02, -1.8891e-04,  2.1769e-03,  2.4603e-02,  2.5769e-03,\n",
       "          -5.1032e-03, -2.6892e-03, -1.4521e-04,  1.6044e-02, -6.4787e-03,\n",
       "          -1.2821e-03,  7.5205e-05, -8.1679e-03, -1.4032e-02,  1.2058e-03,\n",
       "           8.7706e-03,  1.8165e-02,  0.0000e+00, -3.0967e-03, -2.8050e-04,\n",
       "          -2.0490e-02,  1.3512e-02,  1.5458e-02,  1.4224e-02,  5.2573e-02,\n",
       "          -2.3406e-03, -5.6742e-02, -3.7486e-04,  1.3950e-02, -2.0858e-02,\n",
       "          -9.4473e-03,  7.6931e-03,  4.4512e-02, -3.3922e-02, -1.4837e-04,\n",
       "           4.4667e-02, -5.2428e-04, -9.1462e-03, -4.8798e-02, -1.1508e-04,\n",
       "          -4.6319e-03,  4.5986e-02, -3.9850e-02, -4.5478e-02, -4.0624e-04,\n",
       "           0.0000e+00,  4.2159e-02, -4.4336e-03,  3.4142e-03,  2.4661e-03,\n",
       "           3.6518e-03,  6.4272e-03, -4.4967e-06, -3.3881e-02, -2.5973e-02,\n",
       "          -3.5801e-03, -5.1413e-05,  4.3018e-04,  1.1981e-03, -1.2887e-03,\n",
       "          -1.8781e-02,  0.0000e+00,  0.0000e+00, -1.0779e-04,  2.7952e-02,\n",
       "           9.7803e-05, -7.0325e-05, -4.2093e-03,  2.1364e-04, -7.6713e-03,\n",
       "           8.0872e-04,  1.4722e-03, -8.5577e-03,  3.8972e-03,  6.0790e-02,\n",
       "          -3.3492e-02,  2.8168e-04, -8.4553e-04, -5.6088e-06,  4.2770e-02,\n",
       "           2.2856e-02,  4.4252e-03,  4.5414e-02, -1.5270e-03,  1.9209e-02,\n",
       "          -3.9220e-05, -1.0527e-04, -3.5300e-04, -1.7604e-08, -1.3513e-02,\n",
       "           3.6017e-03,  1.7381e-04,  2.8432e-05, -2.0792e-04, -2.0238e-03,\n",
       "           2.6417e-03,  1.7705e-02,  0.0000e+00, -4.4329e-02, -8.4995e-04,\n",
       "          -2.6283e-03, -1.4257e-02,  1.1860e-03,  6.7381e-02, -3.5758e-02,\n",
       "           0.0000e+00, -6.6084e-05,  5.6991e-03,  5.7689e-03,  4.4035e-03,\n",
       "           0.0000e+00,  4.4324e-03,  0.0000e+00, -2.2674e-03,  1.2362e-03,\n",
       "           7.5679e-03,  4.1409e-05,  2.7014e-02,  3.7789e-03,  3.8828e-05,\n",
       "           6.7910e-04,  6.6325e-02,  3.5426e-02, -1.3476e-03, -3.5083e-03,\n",
       "          -3.6876e-02,  1.0480e-02,  3.8024e-03, -1.6280e-03, -6.3502e-02,\n",
       "           2.8662e-02, -4.6628e-03, -4.6977e-03,  1.2634e-02,  2.3866e-03,\n",
       "          -1.7205e-03, -6.7397e-03,  9.2007e-03, -8.3802e-03, -1.7052e-04,\n",
       "          -5.5748e-05, -3.6115e-02, -8.5739e-03, -3.2520e-02,  6.2967e-05,\n",
       "          -5.5055e-03,  5.8729e-04,  1.2043e-03,  1.8340e-04,  1.8986e-04,\n",
       "          -1.9893e-02,  2.8587e-04,  1.0167e-04,  2.4718e-03,  1.4039e-02,\n",
       "           2.6807e-03, -1.6657e-02, -4.2849e-03,  1.4752e-02,  1.9761e-02,\n",
       "          -5.1953e-05,  6.4868e-04, -3.9010e-03, -2.1870e-04,  3.7708e-02,\n",
       "           7.4339e-05, -1.9992e-03, -1.5174e-02,  2.1761e-02,  1.9210e-02,\n",
       "          -2.2879e-02,  2.8754e-02, -2.6185e-03,  2.6825e-02,  1.7477e-03,\n",
       "          -4.5736e-06,  6.7035e-02, -6.9054e-04, -7.3963e-05,  2.0248e-02,\n",
       "           1.3988e-02,  1.4355e-03, -4.9178e-04, -1.8873e-02,  0.0000e+00,\n",
       "           0.0000e+00, -3.0159e-04,  6.1955e-04,  7.6731e-04,  5.6750e-02,\n",
       "          -4.6121e-03, -9.2750e-03,  0.0000e+00, -2.9212e-03, -2.7117e-06,\n",
       "          -9.4701e-03,  0.0000e+00, -1.3295e-02,  5.5128e-04,  4.5714e-02,\n",
       "           4.4060e-02, -4.8640e-04,  2.2453e-03, -4.9118e-03,  2.8400e-02,\n",
       "           5.4148e-03,  9.8502e-03,  0.0000e+00, -1.0019e-04,  1.0479e-03,\n",
       "          -1.7721e-02,  5.9757e-02,  0.0000e+00,  0.0000e+00,  4.4321e-04,\n",
       "           1.4811e-02,  1.4221e-03,  1.7617e-02,  2.0082e-02,  4.3513e-03,\n",
       "           1.8493e-02,  6.4587e-04,  1.3489e-04, -3.1005e-02,  2.7718e-02,\n",
       "          -1.4606e-02, -1.1526e-02,  1.3449e-02,  3.4568e-02, -1.0534e-02,\n",
       "           1.1023e-02, -1.0824e-04,  2.2658e-02, -5.2280e-02, -5.7337e-03,\n",
       "           5.9653e-04,  2.8637e-02,  2.0504e-03, -8.6356e-03,  5.3133e-03,\n",
       "          -7.0518e-04,  8.5741e-03, -2.7449e-03, -2.0123e-02, -1.3348e-02,\n",
       "          -5.2095e-03,  2.3354e-02,  4.8898e-02,  2.5381e-02, -8.2824e-03,\n",
       "          -1.1026e-02, -3.4957e-03,  2.1816e-02,  1.5782e-02,  8.0876e-04,\n",
       "          -2.1248e-02,  1.5635e-02, -3.7096e-02,  1.7144e-02, -9.9139e-04,\n",
       "           4.1217e-04,  1.3864e-03, -2.1805e-04, -1.7801e-02, -5.2300e-03,\n",
       "           1.0123e-04, -9.7138e-04, -3.0773e-04, -5.4458e-03,  2.9494e-02,\n",
       "           2.5612e-02,  3.1056e-04,  2.3778e-02,  3.8195e-02, -5.3150e-04,\n",
       "           4.5810e-02, -8.0880e-03, -4.2613e-03, -4.2061e-02, -1.0313e-02,\n",
       "           1.3114e-02,  6.9613e-03,  1.6030e-03,  3.9412e-03,  4.4115e-03,\n",
       "          -5.4001e-03,  1.3267e-03, -1.3400e-02,  1.4138e-04, -3.5544e-02,\n",
       "           1.9712e-02, -8.9069e-03,  1.8374e-02, -1.8808e-02, -2.6142e-02,\n",
       "          -4.1802e-02,  3.5473e-03, -3.0827e-04, -1.1644e-02, -4.7021e-03,\n",
       "           1.7623e-02, -7.2934e-03,  5.2867e-02,  3.7487e-03, -5.5033e-04,\n",
       "           1.1251e-03,  1.0848e-04, -3.9325e-05,  4.3853e-03, -3.8922e-04,\n",
       "          -6.1704e-03,  1.1750e-02, -2.4618e-04,  2.6947e-02,  0.0000e+00,\n",
       "          -1.6535e-03, -1.4226e-02,  3.8092e-02,  5.2948e-03, -3.5794e-03,\n",
       "           1.2948e-02, -3.8636e-02,  6.5247e-03,  1.8098e-02,  1.9323e-02,\n",
       "           2.7694e-03,  7.4536e-02,  3.3455e-02, -1.2764e-02,  2.0666e-02,\n",
       "           3.0506e-03, -1.5628e-02, -1.6534e-03, -2.2600e-03, -1.8865e-03,\n",
       "           4.5285e-03, -3.0472e-02, -5.8623e-02, -3.1092e-03, -2.1893e-02,\n",
       "           5.7362e-04, -1.1703e-02, -1.5238e-02,  3.8660e-02, -1.2503e-03,\n",
       "          -4.1863e-02, -6.2832e-02, -2.4840e-05,  0.0000e+00, -2.6410e-02,\n",
       "           4.7599e-04,  2.2982e-02, -9.0486e-02,  2.2342e-03,  1.1346e-02,\n",
       "           6.9398e-02, -8.8628e-03,  3.8398e-03,  2.0041e-03,  4.8101e-04,\n",
       "          -8.8726e-03,  7.0997e-05,  2.1496e-02,  0.0000e+00,  3.4470e-03,\n",
       "          -3.4439e-03,  2.8927e-02,  2.3620e-02, -7.5048e-04,  1.1972e-03,\n",
       "          -1.1730e-04, -6.7194e-05, -6.5860e-03, -1.4443e-03,  1.1386e-03,\n",
       "          -6.0195e-03, -3.1871e-02,  2.7904e-02, -4.8014e-05, -2.0701e-04,\n",
       "           2.6405e-02, -3.4104e-04, -8.6546e-03,  1.2203e-02, -1.3082e-04,\n",
       "           4.3786e-03,  2.4939e-02,  0.0000e+00,  9.2179e-03,  4.5308e-03,\n",
       "          -1.1555e-02,  4.9127e-02, -1.4058e-02, -2.9485e-03, -4.3832e-02,\n",
       "          -5.8731e-03,  3.5845e-05], device='cuda:0'),\n",
       "  tensor([[[[ 1.6767e-05,  3.9918e-05,  1.9379e-05],\n",
       "            [ 9.1599e-05,  4.9886e-05,  5.3195e-05],\n",
       "            [ 1.2969e-04,  1.3214e-04,  9.4742e-05]],\n",
       "  \n",
       "           [[ 9.6592e-05,  1.4226e-04,  1.1851e-04],\n",
       "            [ 1.1054e-04,  2.2785e-04,  1.0795e-04],\n",
       "            [ 1.9802e-04,  2.5459e-04,  1.4666e-04]],\n",
       "  \n",
       "           [[ 1.4894e-05,  3.0855e-04,  2.2990e-05],\n",
       "            [ 4.3560e-05,  2.9598e-04,  8.4307e-05],\n",
       "            [ 1.5308e-05,  3.6484e-04,  4.6631e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.0492e-04,  1.1145e-03,  9.4215e-04],\n",
       "            [ 6.4038e-04,  1.3102e-03,  1.1675e-03],\n",
       "            [ 1.1899e-03,  1.8656e-03,  1.7536e-03]],\n",
       "  \n",
       "           [[ 5.3602e-04,  9.7969e-04,  9.2658e-04],\n",
       "            [ 3.5709e-03,  4.0165e-03,  4.0212e-03],\n",
       "            [ 3.2709e-04,  6.9298e-04,  6.3394e-04]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 6.0397e-06,  0.0000e+00,  0.0000e+00],\n",
       "            [ 6.6822e-06,  1.0846e-05,  0.0000e+00]]],\n",
       "  \n",
       "  \n",
       "          [[[ 8.3871e-05,  8.4207e-05,  1.0737e-04],\n",
       "            [ 4.2872e-05,  3.2461e-05,  4.4129e-05],\n",
       "            [ 2.5766e-04,  2.9402e-04,  2.8292e-04]],\n",
       "  \n",
       "           [[ 2.8646e-04,  2.7961e-04,  3.1315e-04],\n",
       "            [ 5.2886e-04,  4.5889e-04,  3.7627e-04],\n",
       "            [ 4.9400e-04,  6.0652e-04,  5.5883e-04]],\n",
       "  \n",
       "           [[ 4.8979e-05,  3.2893e-05,  2.3512e-05],\n",
       "            [ 6.0728e-05,  7.1854e-07,  1.1693e-05],\n",
       "            [ 9.7330e-05,  3.7550e-05,  1.2098e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.5795e-03,  1.5103e-03,  1.4402e-03],\n",
       "            [ 1.7855e-03,  1.4463e-03,  1.4391e-03],\n",
       "            [ 2.0013e-03,  1.8161e-03,  1.9399e-03]],\n",
       "  \n",
       "           [[ 1.9590e-03,  1.9161e-03,  1.6302e-03],\n",
       "            [ 5.1908e-04,  2.4531e-04,  3.3354e-04],\n",
       "            [ 5.0120e-04,  3.4458e-04,  5.0150e-04]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [-1.3882e-06, -2.2203e-06,  1.5054e-06],\n",
       "            [ 2.3534e-06,  8.1464e-06,  5.1940e-06]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.5486e-05,  1.1910e-05,  3.1825e-05],\n",
       "            [-9.6984e-06,  1.9191e-05,  2.5889e-05],\n",
       "            [-1.2544e-05, -4.8168e-05, -1.3284e-05]],\n",
       "  \n",
       "           [[ 2.0174e-04,  1.6807e-04,  1.7899e-04],\n",
       "            [ 3.0266e-04,  3.4571e-04,  3.1644e-04],\n",
       "            [ 6.5983e-04,  6.2962e-04,  6.5058e-04]],\n",
       "  \n",
       "           [[ 3.2165e-05,  1.2666e-05,  3.5588e-05],\n",
       "            [ 7.6936e-05,  6.0013e-05,  6.6174e-05],\n",
       "            [ 1.2484e-04,  1.1894e-04,  1.2258e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.3789e-03,  1.3609e-03,  1.4513e-03],\n",
       "            [ 1.2909e-03,  1.3055e-03,  1.3940e-03],\n",
       "            [ 1.1952e-03,  1.2439e-03,  1.2138e-03]],\n",
       "  \n",
       "           [[ 1.4544e-04,  1.4976e-04,  1.5980e-04],\n",
       "            [-3.5749e-04, -2.8192e-04, -4.1600e-04],\n",
       "            [ 3.9124e-04,  3.3956e-04,  4.8941e-04]],\n",
       "  \n",
       "           [[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00, -1.1897e-06],\n",
       "            [-4.3803e-06, -3.8206e-06, -1.0537e-05]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 2.2984e-04,  1.7862e-04,  1.4025e-04],\n",
       "            [ 7.6518e-05,  1.1623e-04,  7.0484e-05],\n",
       "            [-4.5181e-06, -7.5753e-06,  4.1920e-05]],\n",
       "  \n",
       "           [[ 1.2600e-04,  1.5184e-04,  1.8179e-04],\n",
       "            [ 2.0265e-04,  1.7433e-04,  1.3189e-04],\n",
       "            [ 2.2075e-04,  1.7922e-04,  2.0134e-04]],\n",
       "  \n",
       "           [[ 1.4464e-04,  1.4711e-04,  3.0043e-05],\n",
       "            [ 1.2759e-04,  1.1931e-04,  2.4860e-05],\n",
       "            [ 1.8147e-04,  1.3370e-04,  4.8902e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 2.2097e-03,  2.5318e-03,  2.4205e-03],\n",
       "            [ 1.9216e-03,  2.1623e-03,  2.1637e-03],\n",
       "            [ 1.6676e-03,  1.6340e-03,  1.7841e-03]],\n",
       "  \n",
       "           [[ 4.9076e-04,  5.2671e-04,  4.6990e-04],\n",
       "            [-2.4355e-06,  1.8512e-04,  1.7391e-04],\n",
       "            [ 5.7038e-04,  6.1006e-04,  4.8471e-04]],\n",
       "  \n",
       "           [[-3.0915e-06,  3.1139e-06,  0.0000e+00],\n",
       "            [-1.0628e-08, -2.7998e-06,  6.8734e-07],\n",
       "            [ 8.8899e-07, -5.2953e-06, -5.5132e-06]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.3281e-03,  1.3017e-03,  1.2553e-03],\n",
       "            [ 1.1621e-03,  1.1445e-03,  1.1156e-03],\n",
       "            [ 1.3293e-03,  1.3608e-03,  1.2767e-03]],\n",
       "  \n",
       "           [[ 5.3462e-03,  5.3169e-03,  5.1530e-03],\n",
       "            [ 5.8231e-03,  5.8262e-03,  5.7437e-03],\n",
       "            [ 5.9646e-03,  6.0718e-03,  5.9487e-03]],\n",
       "  \n",
       "           [[ 9.5566e-04,  8.3258e-04,  6.3242e-04],\n",
       "            [ 1.0022e-03,  8.3855e-04,  5.7305e-04],\n",
       "            [ 1.0153e-03,  8.6447e-04,  6.6650e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.8345e-02,  1.8544e-02,  1.7872e-02],\n",
       "            [ 1.8518e-02,  1.8964e-02,  1.7935e-02],\n",
       "            [ 1.8885e-02,  1.8984e-02,  1.8500e-02]],\n",
       "  \n",
       "           [[ 8.1763e-03,  7.7952e-03,  7.0472e-03],\n",
       "            [ 5.8632e-03,  5.7230e-03,  5.2123e-03],\n",
       "            [ 6.1056e-03,  6.0812e-03,  5.3932e-03]],\n",
       "  \n",
       "           [[ 5.8587e-06,  1.4799e-05,  5.3433e-06],\n",
       "            [ 2.2017e-05,  1.8974e-05,  3.9185e-06],\n",
       "            [ 1.5506e-05,  3.4162e-05,  2.4947e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.2516e-03, -2.2128e-03, -2.1497e-03],\n",
       "            [-2.8019e-03, -2.6179e-03, -2.6227e-03],\n",
       "            [-1.8594e-03, -1.8613e-03, -2.0080e-03]],\n",
       "  \n",
       "           [[-6.5393e-03, -6.6725e-03, -6.6414e-03],\n",
       "            [-6.1160e-03, -6.2150e-03, -6.2616e-03],\n",
       "            [-4.4610e-03, -4.6479e-03, -4.8549e-03]],\n",
       "  \n",
       "           [[-1.1311e-03, -8.5301e-04, -7.2843e-04],\n",
       "            [-9.9129e-04, -6.6612e-04, -5.3986e-04],\n",
       "            [-8.2326e-04, -4.8956e-04, -4.3843e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.3058e-02, -2.2911e-02, -2.1662e-02],\n",
       "            [-2.4350e-02, -2.4338e-02, -2.3201e-02],\n",
       "            [-2.2340e-02, -2.2533e-02, -2.1549e-02]],\n",
       "  \n",
       "           [[-8.3633e-03, -8.1698e-03, -7.4749e-03],\n",
       "            [-6.7114e-03, -6.1559e-03, -5.3730e-03],\n",
       "            [-6.1470e-03, -5.5953e-03, -5.4453e-03]],\n",
       "  \n",
       "           [[-1.7400e-05, -2.1313e-05, -2.1660e-05],\n",
       "            [-4.0447e-05, -4.7179e-05, -2.5335e-05],\n",
       "            [-3.7699e-05, -4.9673e-05, -5.0948e-05]]]], device='cuda:0'),\n",
       "  tensor([ 1.1684e-03, -7.5671e-04, -6.8607e-04, -6.2511e-03, -8.2131e-04,\n",
       "           5.8363e-03,  1.5047e-02,  9.7719e-04,  1.7352e-02, -5.6806e-05,\n",
       "           1.1673e-03, -8.8224e-04,  3.5261e-02, -1.8873e-04,  2.4635e-02,\n",
       "           8.0141e-03, -7.3597e-03,  1.3819e-02, -5.6893e-03,  3.0218e-03,\n",
       "          -2.1385e-03, -8.7400e-04, -9.8863e-03,  0.0000e+00,  4.4863e-03,\n",
       "          -6.6953e-03, -7.5808e-04,  3.6427e-02, -3.3338e-04,  3.4646e-03,\n",
       "          -1.5163e-03,  6.3396e-02, -2.6057e-02, -1.8357e-03,  3.3572e-05,\n",
       "           2.9415e-03,  6.4316e-03, -8.8832e-03,  5.1525e-03,  2.6429e-03,\n",
       "          -6.7964e-04, -1.7873e-02,  1.0360e-03, -2.4248e-04, -3.2020e-03,\n",
       "           1.6124e-03,  4.6716e-04,  2.4966e-02,  5.6262e-06,  2.3649e-02,\n",
       "          -8.0406e-03,  0.0000e+00,  1.8567e-03, -2.2777e-04,  1.6231e-04,\n",
       "           2.7277e-02, -1.1805e-02, -1.7111e-05,  3.7195e-02,  1.9599e-02,\n",
       "          -1.6352e-03, -1.2705e-02, -4.2079e-05,  2.2804e-03,  2.2033e-03,\n",
       "           3.3695e-04,  2.6457e-02,  2.3594e-05,  2.8623e-03, -5.3706e-02,\n",
       "           2.5505e-02, -2.1588e-03, -4.2032e-03, -5.7129e-05,  5.2001e-03,\n",
       "           2.8158e-03, -4.3923e-03,  0.0000e+00, -1.6711e-03, -6.9365e-03,\n",
       "           6.9017e-02, -7.4899e-02,  6.5978e-05,  8.6557e-05,  3.1898e-03,\n",
       "           4.8194e-04,  3.0782e-04, -1.2561e-02, -2.8929e-03,  2.3795e-05,\n",
       "           4.2434e-04,  2.9829e-02,  0.0000e+00,  2.2649e-04, -1.1012e-04,\n",
       "           5.0734e-04, -9.1206e-02, -2.5566e-04,  2.7694e-04,  2.2877e-05,\n",
       "           1.7011e-02,  4.3844e-04,  1.3912e-05, -1.1156e-03, -5.0881e-03,\n",
       "          -6.7135e-05, -3.3960e-02,  6.1993e-05, -8.1589e-03, -2.2778e-02,\n",
       "           7.2684e-02, -1.8631e-03,  1.8821e-03,  4.4209e-03,  3.8048e-04,\n",
       "           1.2843e-05,  0.0000e+00,  2.0597e-05, -2.7656e-03,  1.8371e-03,\n",
       "          -6.2431e-05,  3.7825e-03,  2.6477e-03, -4.0917e-02, -3.8361e-04,\n",
       "           3.6044e-03,  5.9210e-03, -6.8523e-03,  3.7086e-03,  5.1021e-05,\n",
       "          -1.5224e-02,  0.0000e+00, -4.0307e-03,  2.1424e-04,  6.5793e-05,\n",
       "           1.1488e-03, -2.0606e-03, -1.9709e-03,  1.6394e-02, -1.3905e-05,\n",
       "           6.5796e-05,  3.8501e-02, -3.3979e-03,  2.7161e-03,  0.0000e+00,\n",
       "          -3.3437e-02, -1.6057e-03, -2.5568e-02,  1.8787e-03, -4.9441e-04,\n",
       "           1.2111e-03,  0.0000e+00,  7.0160e-04, -2.0998e-03,  1.3667e-02,\n",
       "          -4.4145e-04, -6.4707e-03,  1.0364e-03,  3.2203e-03, -2.1728e-03,\n",
       "          -1.4272e-03,  2.5631e-02, -1.2340e-04, -1.4892e-05,  6.8718e-03,\n",
       "          -2.7733e-03,  0.0000e+00, -4.3937e-04,  1.3950e-04,  1.3843e-02,\n",
       "           3.0215e-03,  7.2217e-05, -1.4414e-05, -1.0090e-02, -3.0539e-04,\n",
       "           4.6721e-03,  0.0000e+00,  6.7229e-03,  6.5310e-03,  2.9124e-06,\n",
       "           1.1736e-02,  1.0674e-02, -3.0956e-02, -3.1149e-02, -2.4731e-02,\n",
       "          -9.7315e-05,  4.6101e-02, -9.6341e-04,  3.0178e-02,  9.8057e-06,\n",
       "          -1.7714e-02,  1.1421e-05, -1.0842e-02,  1.2870e-04,  0.0000e+00,\n",
       "           5.3917e-03, -1.5363e-05,  8.4987e-04,  2.0201e-02, -1.3649e-03,\n",
       "           1.5014e-02, -7.6679e-04,  1.2326e-03,  4.1896e-03,  0.0000e+00,\n",
       "           2.2423e-02,  2.0553e-03, -4.6650e-03,  1.5989e-02,  6.4808e-04,\n",
       "           2.0537e-04, -4.0055e-03, -1.0072e-04, -3.5148e-04, -4.4521e-04,\n",
       "           1.1683e-02,  2.1444e-02, -2.3517e-04, -1.9038e-02,  0.0000e+00,\n",
       "           2.0191e-06,  1.5090e-05,  2.0019e-04, -1.5790e-03,  2.9095e-03,\n",
       "          -3.7328e-03,  3.0848e-04, -2.3799e-03,  1.2321e-03,  9.9361e-03,\n",
       "          -1.3383e-03,  0.0000e+00, -5.0462e-02,  3.0418e-03,  1.0538e-02,\n",
       "          -4.2075e-04, -1.4783e-02, -3.9508e-03,  9.0962e-03, -1.1845e-03,\n",
       "          -2.6432e-03,  2.9341e-04,  1.7716e-02, -5.9779e-04, -5.6574e-02,\n",
       "          -3.0931e-04, -4.2471e-02, -4.1856e-02, -3.6436e-03,  9.4267e-06,\n",
       "          -3.1711e-04, -1.9677e-03,  0.0000e+00, -5.5408e-04, -2.0596e-04,\n",
       "           8.8399e-03, -3.0390e-06, -4.8571e-03,  4.1403e-02,  3.9239e-03,\n",
       "           3.1805e-03,  2.0163e-04, -1.0700e-02,  3.9242e-03,  0.0000e+00,\n",
       "           1.6025e-02,  2.8909e-04,  1.7276e-02, -1.4146e-02,  0.0000e+00,\n",
       "           0.0000e+00,  6.2109e-02,  4.7183e-04, -1.0337e-03,  0.0000e+00,\n",
       "          -4.0641e-05,  1.2225e-03,  8.1399e-04, -1.0335e-02, -1.4328e-03,\n",
       "           9.1624e-04, -4.4429e-04,  2.9707e-03, -4.0706e-03,  3.8931e-03,\n",
       "           2.8192e-03, -5.1806e-02,  2.9512e-03, -4.9615e-03, -2.0167e-03,\n",
       "          -3.4193e-06, -4.1097e-02, -1.1475e-02,  2.2939e-03, -1.1128e-03,\n",
       "          -1.1988e-02,  1.9605e-02,  1.5208e-01,  2.6384e-02,  1.7014e-02,\n",
       "          -8.9806e-03,  1.1688e-03, -1.7567e-04,  1.3964e-01, -2.0810e-03,\n",
       "          -4.4104e-03,  6.8135e-05,  1.7808e-04,  1.2581e-02,  2.8670e-02,\n",
       "           1.4552e-03, -8.9050e-04,  9.5935e-05,  7.1255e-05,  2.9793e-03,\n",
       "          -5.0034e-05,  2.0435e-02, -1.8124e-04,  1.1503e-03,  9.6160e-04,\n",
       "          -7.9494e-03,  1.7948e-03,  1.8175e-06,  1.1971e-03, -1.0100e-04,\n",
       "          -5.1467e-03,  1.6325e-02,  0.0000e+00, -3.8713e-03,  0.0000e+00,\n",
       "          -2.3827e-04,  1.1476e-02,  2.0569e-04, -8.5725e-03,  6.1591e-03,\n",
       "          -1.6819e-03,  3.6632e-05, -2.3202e-03,  5.6343e-03,  2.4922e-04,\n",
       "           6.4122e-03, -7.2973e-05, -1.2655e-02, -3.8225e-02, -4.4167e-02,\n",
       "          -1.7366e-03,  1.8700e-02,  7.0535e-04,  1.1834e-02, -8.3619e-03,\n",
       "          -2.5823e-03,  5.0788e-02, -1.4013e-01,  1.4914e-02,  5.1320e-04,\n",
       "           3.4616e-02,  1.1636e-02, -1.0345e-02, -4.5294e-03, -9.8778e-03,\n",
       "           6.5714e-02,  2.3904e-02,  1.4115e-03,  6.0937e-03, -4.0383e-03,\n",
       "          -3.0581e-04,  4.7496e-03, -4.3175e-02, -1.1116e-03, -6.1900e-03,\n",
       "           9.3001e-02,  2.5297e-02, -5.7700e-03,  1.0758e-04,  2.0799e-03,\n",
       "           2.4290e-03, -5.6842e-04,  4.3128e-03, -8.9292e-05,  1.2816e-03,\n",
       "           0.0000e+00,  4.2687e-03, -1.6861e-02, -5.7869e-04, -1.0771e-06,\n",
       "           4.8126e-04,  4.9357e-02,  2.0372e-03,  7.4219e-04, -3.2133e-05,\n",
       "          -1.1559e-02, -1.9044e-05, -6.1638e-04, -3.7560e-03,  1.2298e-03,\n",
       "          -4.3793e-03, -7.0880e-04,  4.0894e-03, -6.2836e-03, -1.4655e-02,\n",
       "          -3.9175e-04,  2.0486e-03, -6.6811e-05, -2.0344e-02,  2.1605e-02,\n",
       "          -4.2017e-04,  4.5542e-03, -1.0752e-03, -1.4531e-03,  3.4185e-03,\n",
       "          -1.0360e-04, -1.3379e-05,  2.0641e-02,  2.7566e-03, -3.6502e-03,\n",
       "          -5.0724e-04, -1.4490e-03, -4.9328e-03, -6.0179e-03,  2.2243e-03,\n",
       "           1.4900e-02,  1.5556e-02, -7.0674e-03,  1.7750e-02,  4.0360e-02,\n",
       "           4.8287e-04,  5.4826e-03, -7.2294e-04, -1.5988e-02,  2.4191e-04,\n",
       "          -8.5775e-04, -2.1717e-03,  1.2142e-02, -3.4220e-03,  1.5757e-02,\n",
       "          -3.5664e-04, -3.9993e-02, -3.8676e-03, -1.3084e-03,  1.7439e-04,\n",
       "          -2.2910e-02,  2.3686e-03,  0.0000e+00, -8.2934e-03,  1.3188e-03,\n",
       "          -3.1360e-03,  1.1482e-03,  3.1266e-05,  3.9717e-05, -1.4868e-02,\n",
       "           2.5726e-05,  6.4457e-03,  1.5279e-02,  1.6902e-04, -1.3431e-05,\n",
       "          -2.0501e-05, -9.5881e-03,  1.9591e-03, -1.2987e-02,  3.6115e-03,\n",
       "           3.8752e-03, -2.1550e-02,  6.8828e-03,  7.3347e-06, -1.6094e-02,\n",
       "          -1.5910e-04,  1.4303e-03,  2.9307e-02, -1.2644e-04,  9.4938e-03,\n",
       "           1.0851e-02,  3.8139e-03,  4.1466e-03,  0.0000e+00, -2.3222e-02,\n",
       "          -4.1752e-03,  1.0016e-01,  2.3740e-03, -7.6967e-04, -3.0831e-02,\n",
       "           3.6732e-03, -1.8351e-03,  3.8603e-03,  1.3245e-06,  2.5412e-03,\n",
       "          -6.7939e-04, -1.1685e-02, -6.8811e-03,  3.5397e-02, -1.8540e-02,\n",
       "          -1.1135e-05,  3.6401e-03,  2.6273e-03, -6.7817e-02, -1.2242e-03,\n",
       "          -4.8061e-02, -9.6286e-05, -3.7078e-04, -1.8886e-02,  2.3065e-03,\n",
       "          -8.4400e-04, -1.5071e-03, -2.5077e-03, -1.1511e-02, -2.8372e-03,\n",
       "           4.8332e-04, -8.2238e-04,  1.2488e-05,  1.8163e-03,  1.0184e-03,\n",
       "           2.5927e-02, -1.3282e-02], device='cuda:0'),\n",
       "  tensor([ 3.4141e-03,  3.0197e-03,  2.8894e-03, -7.4377e-03, -2.3840e-03,\n",
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       "           1.0058e-02, -1.4882e-02,  5.7515e-03, -2.2184e-02, -1.3126e-02,\n",
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       "           4.1649e-02, -6.9121e-02, -1.6807e-04, -2.0203e-04,  6.4917e-03,\n",
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       "          -6.5840e-04, -2.0630e-02,  2.9602e-03, -1.2593e-02,  9.5654e-03,\n",
       "           5.7201e-03,  3.2389e-02,  2.4468e-04,  1.2819e-05,  3.8700e-02,\n",
       "           4.0116e-03,  0.0000e+00, -8.5569e-04, -2.4449e-03,  1.9509e-02,\n",
       "           2.4331e-03,  1.9229e-04, -2.6902e-05, -1.7788e-02, -2.4346e-03,\n",
       "           7.7288e-03,  0.0000e+00,  3.0728e-03,  5.5798e-03,  3.8297e-06,\n",
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       "          -1.1960e-04,  2.6135e-02, -7.3251e-03,  3.5450e-02,  2.1851e-05,\n",
       "          -2.5540e-02,  2.5528e-05,  1.9951e-02,  7.6461e-05,  0.0000e+00,\n",
       "           2.7321e-02, -8.1546e-05,  1.1050e-03,  4.4218e-02, -3.9976e-03,\n",
       "           5.9600e-02, -3.6005e-03, -4.0977e-03,  2.8231e-03,  0.0000e+00,\n",
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       "          -6.3533e-03, -1.2568e-02, -1.1672e-04,  7.7665e-04, -1.8107e-02,\n",
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       "          -5.4199e-03,  4.5465e-04, -1.6816e-02,  3.2322e-03, -5.1106e-02,\n",
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       "          -3.9995e-03,  1.0839e-03,  3.4400e-02, -7.5998e-04,  9.7741e-02,\n",
       "          -1.0702e-03, -3.1721e-02, -4.0533e-02,  2.6288e-02, -2.0770e-04,\n",
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       "           2.2923e-02,  7.7510e-03, -2.3715e-02,  8.3505e-03,  0.0000e+00,\n",
       "           1.4188e-02,  7.0365e-04,  4.4573e-02, -2.8139e-02,  0.0000e+00,\n",
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       "          -1.2642e-02,  1.8598e-02,  9.2389e-02,  1.7662e-02,  3.1572e-02,\n",
       "          -7.8128e-03, -1.6900e-03, -2.5609e-03,  8.0301e-02,  2.3515e-03,\n",
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       "          -6.0718e-03,  2.2900e-03, -7.1507e-03, -1.8407e-04,  7.8079e-03,\n",
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       "          -1.9550e-02,  2.0130e-02,  9.7144e-05,  1.9479e-03,  3.7997e-03,\n",
       "          -9.0347e-03,  2.7301e-02,  0.0000e+00, -1.3711e-02,  0.0000e+00,\n",
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       "          -2.6148e-03,  3.0895e-02, -2.2242e-03,  2.9632e-02, -4.3683e-03,\n",
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       "          -7.7796e-04,  9.1233e-03, -3.9983e-02, -1.1358e-03, -1.4258e-02,\n",
       "           6.0793e-02,  1.7079e-02, -4.2659e-03,  1.1465e-04,  9.4940e-03,\n",
       "           9.3387e-03,  2.2889e-03, -6.2393e-03, -1.5402e-04, -2.0463e-02,\n",
       "           0.0000e+00,  5.5173e-03, -1.2139e-02, -4.4647e-03,  1.8076e-05,\n",
       "           1.3121e-03,  5.3911e-02,  6.6294e-03,  3.9472e-03, -9.8092e-05,\n",
       "           2.1629e-02, -3.0105e-04, -1.4292e-03, -9.4967e-03,  1.8539e-03,\n",
       "          -2.6095e-03, -1.3130e-03,  2.7345e-02, -2.2450e-02,  6.4279e-02,\n",
       "          -1.0594e-03,  4.7842e-03, -1.3252e-02, -1.7349e-02,  2.1261e-02,\n",
       "          -4.9300e-03,  1.0242e-02, -2.8599e-03,  4.8394e-03, -2.1267e-03,\n",
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       "          -5.3426e-03,  4.0280e-03, -1.1896e-02,  2.3132e-02,  7.6393e-03,\n",
       "           4.4005e-02,  8.0965e-03, -6.1993e-03, -2.1172e-02,  3.5999e-02,\n",
       "           7.1547e-04, -1.6114e-02,  5.3893e-04, -1.2497e-02,  9.0924e-04,\n",
       "          -2.7513e-03, -5.4229e-03,  2.0059e-02, -1.9434e-03,  1.5102e-02,\n",
       "           3.1661e-04, -4.2211e-02, -8.1128e-03,  6.3021e-03,  3.7700e-04,\n",
       "          -3.0874e-02, -3.5929e-03,  0.0000e+00, -3.2174e-02,  2.1053e-03,\n",
       "           5.6273e-03, -2.3833e-04, -8.9896e-04, -8.3803e-04, -2.7003e-02,\n",
       "          -4.7600e-05,  9.8445e-03, -2.5787e-02,  3.8239e-04,  1.9088e-04,\n",
       "          -1.6950e-05, -1.2988e-02,  1.5621e-02,  2.4522e-02, -4.9280e-03,\n",
       "           2.7115e-03, -2.6068e-02,  7.8279e-03,  3.4747e-05,  2.4598e-02,\n",
       "          -2.6807e-04, -5.9549e-03,  2.3790e-02, -2.4750e-04,  1.3498e-02,\n",
       "           1.5036e-02, -3.2184e-03,  6.1304e-03,  0.0000e+00,  1.5428e-02,\n",
       "          -4.8165e-03,  7.2476e-02,  3.6398e-03, -1.5557e-03, -3.5799e-02,\n",
       "           1.2981e-02,  4.8441e-03,  4.0291e-03,  1.0911e-06,  1.2847e-02,\n",
       "          -4.8133e-03,  5.1287e-02, -1.9755e-02,  2.6585e-02, -2.2182e-02,\n",
       "          -1.4812e-05, -4.1714e-03,  4.2412e-03,  7.0574e-02, -2.2470e-03,\n",
       "          -3.5576e-02,  5.6527e-04, -4.5860e-03,  3.2345e-02,  9.8129e-03,\n",
       "           6.1574e-03,  1.0897e-02, -3.5417e-03, -9.8425e-03, -8.0950e-03,\n",
       "           2.2239e-03, -2.9318e-03, -7.1151e-04, -4.6105e-03,  3.9096e-03,\n",
       "           3.4719e-02, -4.0671e-02], device='cuda:0'),\n",
       "  tensor([[[[ 5.0994e-05]],\n",
       "  \n",
       "           [[ 1.0552e-02]],\n",
       "  \n",
       "           [[ 3.6524e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.0368e-03]],\n",
       "  \n",
       "           [[ 6.1453e-03]],\n",
       "  \n",
       "           [[ 3.7395e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 2.1321e-05]],\n",
       "  \n",
       "           [[ 6.4688e-03]],\n",
       "  \n",
       "           [[ 6.5433e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 4.6871e-05]],\n",
       "  \n",
       "           [[ 5.3071e-03]],\n",
       "  \n",
       "           [[ 3.7339e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.9688e-05]],\n",
       "  \n",
       "           [[ 4.0673e-03]],\n",
       "  \n",
       "           [[ 4.1140e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.0367e-04]],\n",
       "  \n",
       "           [[ 3.4150e-03]],\n",
       "  \n",
       "           [[ 9.6701e-05]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 1.9955e-05]],\n",
       "  \n",
       "           [[ 4.6615e-03]],\n",
       "  \n",
       "           [[ 4.6099e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.8578e-05]],\n",
       "  \n",
       "           [[ 3.7477e-03]],\n",
       "  \n",
       "           [[ 1.0105e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.6206e-04]],\n",
       "  \n",
       "           [[ 6.4186e-02]],\n",
       "  \n",
       "           [[ 5.8578e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.0614e-03]],\n",
       "  \n",
       "           [[ 5.4315e-02]],\n",
       "  \n",
       "           [[ 2.8350e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.5229e-04]],\n",
       "  \n",
       "           [[-6.7965e-02]],\n",
       "  \n",
       "           [[-6.7804e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-8.1473e-04]],\n",
       "  \n",
       "           [[-6.2771e-02]],\n",
       "  \n",
       "           [[-3.0142e-03]]]], device='cuda:0'),\n",
       "  tensor([ 7.3876e-04,  1.6530e-03,  1.5874e-03, -1.4324e-02, -9.2306e-04,\n",
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       "          -3.6725e-05,  1.3186e-02,  2.4348e-02,  0.0000e+00,  6.9411e-03,\n",
       "           9.4274e-04,  5.9830e-04, -7.7375e-03, -9.6685e-05, -1.3242e-03,\n",
       "           6.1265e-03, -2.5726e-03, -6.3695e-02, -1.4079e-04,  4.4938e-05,\n",
       "          -5.8761e-04, -9.3858e-03, -2.5182e-02,  1.2595e-02, -3.8842e-02,\n",
       "           4.8687e-04,  2.7538e-02,  2.9823e-04, -1.3140e-03,  2.6379e-03,\n",
       "          -1.1440e-02, -3.9611e-04, -6.7781e-04, -3.2927e-06,  3.3892e-02,\n",
       "          -2.1796e-02,  0.0000e+00, -4.3394e-03,  3.5613e-04, -2.1725e-04,\n",
       "          -9.7368e-03, -1.9093e-02,  1.5768e-05,  7.8128e-03,  3.9699e-03,\n",
       "           8.4734e-03, -5.6134e-03,  6.4287e-04, -1.6550e-02, -9.2577e-03,\n",
       "          -2.5281e-04,  3.3661e-03, -9.3403e-06, -3.7713e-04, -2.9031e-02,\n",
       "           8.7434e-03, -8.2612e-04,  7.0674e-03, -7.6174e-05, -1.1888e-02,\n",
       "           2.7088e-03, -1.8778e-03,  0.0000e+00, -1.0317e-03,  1.1887e-02,\n",
       "          -2.9271e-02, -4.3545e-02, -9.8003e-05, -9.8161e-05, -3.4051e-04,\n",
       "          -2.8325e-04, -1.6237e-04, -2.9088e-02,  1.9299e-03, -2.4874e-05,\n",
       "          -1.2528e-04,  1.8274e-03,  0.0000e+00, -1.7426e-04,  4.0802e-05,\n",
       "           5.7530e-04, -2.1942e-02,  2.4202e-04, -1.9608e-04, -2.1463e-05,\n",
       "           1.4710e-02, -7.9801e-04, -6.1937e-06,  4.0117e-03,  1.4802e-03,\n",
       "           2.7722e-04, -3.6021e-02, -2.2345e-05, -1.3066e-02, -1.0647e-02,\n",
       "           7.7810e-02,  8.3370e-03, -1.0914e-03, -2.6532e-03, -3.4078e-04,\n",
       "          -2.3700e-05,  0.0000e+00,  2.5263e-05, -1.1000e-02, -2.2714e-02,\n",
       "           2.5572e-05,  3.3157e-04, -1.4561e-03, -7.2259e-02,  1.7785e-04,\n",
       "          -1.1944e-03,  3.4578e-04,  1.1874e-02, -2.6701e-03, -3.5288e-05,\n",
       "           3.4934e-03,  0.0000e+00, -6.5342e-04, -1.7126e-04, -1.7491e-04,\n",
       "          -8.2305e-04, -1.4863e-03,  1.9150e-02,  7.0648e-03,  4.4555e-06,\n",
       "          -2.0614e-05,  5.0626e-02,  8.4184e-03,  1.5519e-02,  0.0000e+00,\n",
       "           1.1053e-02, -6.6892e-03,  6.9876e-02,  1.4977e-02,  2.0338e-04,\n",
       "          -1.9430e-03,  0.0000e+00, -1.1286e-03,  1.3842e-03, -5.8902e-03,\n",
       "          -7.8355e-04, -1.8089e-02,  1.4565e-03, -8.6615e-03,  1.3180e-02,\n",
       "           3.2753e-03,  4.2417e-03,  1.4582e-04,  9.3522e-06,  2.1750e-02,\n",
       "           5.4291e-03,  0.0000e+00, -7.0759e-04, -2.1851e-03,  1.9814e-02,\n",
       "          -5.7490e-04, -5.8476e-05,  4.8009e-06, -1.3184e-02, -5.0686e-04,\n",
       "           1.0559e-02,  0.0000e+00, -5.6838e-03,  3.2695e-03, -3.1076e-06,\n",
       "           2.3023e-02,  6.5977e-02, -1.7372e-02, -3.5490e-02, -8.7078e-03,\n",
       "           6.9175e-05, -1.1705e-02, -1.3917e-03,  2.4431e-02,  7.7603e-06,\n",
       "          -4.4626e-02, -1.0400e-05,  2.2336e-02, -8.0610e-05,  0.0000e+00,\n",
       "           2.8581e-02, -2.0506e-06, -5.3622e-04,  2.8542e-02,  1.6374e-03,\n",
       "           5.4867e-02, -1.4056e-03, -3.4303e-03, -1.0126e-03,  0.0000e+00,\n",
       "           1.3445e-02,  6.8445e-03, -2.9932e-02, -3.2332e-03, -1.2773e-04,\n",
       "          -5.7304e-03, -1.4756e-02,  7.2876e-05,  5.4163e-04, -1.2647e-02,\n",
       "          -6.4580e-03,  3.4368e-02, -7.1657e-04,  1.1335e-02,  0.0000e+00,\n",
       "           1.3080e-05, -2.1761e-06, -9.7250e-05,  1.8153e-02, -1.1025e-02,\n",
       "           9.0872e-04, -2.3653e-04, -7.4250e-03, -1.7211e-03, -6.9221e-02,\n",
       "           9.4327e-04,  0.0000e+00,  1.2544e-02, -2.3726e-03, -4.0069e-03,\n",
       "           3.7590e-04,  8.7822e-03, -1.2298e-03, -2.7192e-03, -1.0997e-03,\n",
       "           1.8878e-03, -1.8560e-04,  4.2801e-02,  4.2660e-04,  1.9888e-01,\n",
       "          -1.8100e-06, -1.2606e-02, -2.1798e-02,  1.7120e-02, -1.5872e-05,\n",
       "           4.1123e-04,  3.6804e-03,  0.0000e+00,  6.1675e-04, -1.4284e-02,\n",
       "           2.5934e-03,  4.5687e-06,  8.1494e-04,  6.9796e-04,  1.4377e-02,\n",
       "           1.0774e-02,  1.6445e-03, -4.8789e-03, -3.9365e-04,  0.0000e+00,\n",
       "          -6.4927e-04, -1.5704e-04,  4.0460e-02, -2.6844e-02,  0.0000e+00,\n",
       "           0.0000e+00,  3.7421e-02, -2.1094e-03,  1.9510e-02,  0.0000e+00,\n",
       "          -7.9056e-05, -7.5541e-04,  1.0243e-03, -1.3025e-02,  1.0378e-02,\n",
       "          -2.6697e-03,  3.4714e-04,  9.1733e-03,  1.8008e-03, -2.6511e-03,\n",
       "          -7.9411e-03, -2.9663e-02, -1.3801e-02,  1.1540e-02, -6.8646e-03,\n",
       "          -1.4791e-06, -1.0883e-01, -2.3896e-02,  8.6360e-03,  6.8857e-04,\n",
       "          -9.3097e-03,  4.8267e-03,  5.5842e-02, -3.6734e-03, -1.0960e-03,\n",
       "          -3.0053e-03, -2.2093e-03, -2.5950e-04, -3.1235e-02,  3.2541e-03,\n",
       "           6.6089e-03, -7.6672e-06, -2.0802e-04, -1.7948e-02, -1.0590e-02,\n",
       "           1.4171e-03,  2.6246e-04, -6.1548e-03, -1.4706e-04,  8.5228e-04,\n",
       "           1.0085e-04, -4.5019e-03,  2.6583e-04,  2.0771e-04, -8.4438e-03,\n",
       "           6.2686e-04,  4.6237e-03,  8.9444e-06, -7.2591e-04, -7.8126e-05,\n",
       "          -2.1401e-03,  9.9896e-03,  0.0000e+00, -1.0878e-02,  0.0000e+00,\n",
       "           1.0009e-03,  1.0531e-02, -1.1760e-03,  5.4974e-02,  3.0352e-03,\n",
       "           4.8499e-03, -3.5240e-05, -4.2833e-03, -1.1571e-02, -1.5629e-04,\n",
       "          -4.8619e-03,  5.5097e-05,  1.6285e-02,  2.7827e-02, -1.0124e-02,\n",
       "          -3.6132e-03, -3.8651e-03, -8.5301e-04,  9.8904e-03, -9.9851e-03,\n",
       "           4.0532e-03,  6.4112e-02,  1.2963e-02, -4.3011e-02, -4.1846e-03,\n",
       "           3.7101e-02, -5.0701e-04,  5.1790e-03,  8.7073e-03, -1.8349e-03,\n",
       "          -1.0677e-02, -8.0687e-03, -3.8336e-04,  1.8274e-02,  4.3507e-02,\n",
       "           8.1627e-05,  1.6805e-02,  1.6982e-02,  8.6725e-04,  6.9054e-04,\n",
       "          -3.9891e-02, -1.5344e-02,  4.6481e-03,  2.9955e-05,  9.1483e-04,\n",
       "          -2.9474e-05,  1.3331e-03, -6.0184e-03,  3.8443e-05, -1.4756e-02,\n",
       "           0.0000e+00, -2.6026e-03, -8.4860e-03, -8.6591e-04, -9.6678e-06,\n",
       "          -1.0459e-04,  4.7036e-03,  4.2344e-04,  1.6140e-04,  2.6301e-05,\n",
       "           2.2666e-02, -4.3326e-05, -7.8160e-04, -3.9462e-03, -1.2188e-03,\n",
       "           3.2311e-03,  2.7359e-04,  1.6272e-02, -5.8498e-02,  1.1174e-01,\n",
       "           9.1764e-05, -1.1839e-03, -3.9514e-03, -9.1976e-04,  1.1085e-02,\n",
       "          -6.5599e-03, -2.0393e-03,  3.3760e-04,  3.9699e-03, -3.3103e-03,\n",
       "           2.0691e-04,  1.5988e-05,  2.5646e-02, -9.0837e-04, -4.7266e-03,\n",
       "          -3.0313e-03,  2.8574e-03, -9.4216e-03,  2.7302e-02,  2.0042e-03,\n",
       "           5.8493e-02,  7.0915e-03,  3.1674e-04, -2.7181e-02,  8.4396e-03,\n",
       "          -2.9169e-04, -1.9521e-02,  2.8078e-04,  2.0545e-03,  1.3632e-04,\n",
       "           3.3293e-04, -8.0049e-04,  1.2917e-02,  2.4519e-03, -9.6638e-03,\n",
       "           2.1700e-04, -6.8711e-02, -6.2237e-03,  4.2005e-03, -5.3345e-05,\n",
       "          -2.6464e-02, -1.8519e-03,  0.0000e+00, -9.8954e-03, -8.4452e-04,\n",
       "           5.0318e-03, -6.4442e-04, -1.8251e-04, -5.8243e-04, -3.4196e-02,\n",
       "          -4.6699e-05, -4.4603e-03, -2.7674e-02, -7.9208e-05,  1.4803e-04,\n",
       "           9.7671e-06,  3.7406e-03,  2.5034e-03,  3.2634e-02, -1.0955e-02,\n",
       "          -8.6775e-04, -6.2566e-03, -4.9654e-03, -2.8379e-06,  3.2138e-02,\n",
       "           1.0032e-04, -3.2339e-03,  5.2346e-03,  5.2263e-05, -1.5897e-03,\n",
       "           2.5367e-02, -6.8211e-03,  2.7362e-03,  0.0000e+00,  3.2453e-02,\n",
       "           5.9731e-04,  4.3694e-02, -1.0348e-03,  5.3311e-04, -3.4226e-02,\n",
       "           2.8714e-03,  2.8722e-03,  7.8609e-03, -1.1193e-06,  3.7395e-03,\n",
       "          -2.4228e-03,  9.4106e-02, -8.3321e-03, -1.8373e-02, -6.6003e-03,\n",
       "           9.4589e-06, -4.7262e-03, -1.9339e-03,  1.6059e-01,  7.8344e-04,\n",
       "          -3.4930e-04,  2.9779e-04, -6.1289e-03,  3.5586e-02,  5.1637e-03,\n",
       "           2.8590e-03,  9.3398e-03,  1.5720e-03, -5.9856e-03, -1.7664e-03,\n",
       "           1.2966e-04,  8.0847e-05,  5.3994e-05, -3.2072e-03, -2.8668e-04,\n",
       "           8.9925e-03, -1.1459e-02], device='cuda:0'),\n",
       "  tensor([ 3.4141e-03,  3.0197e-03,  2.8894e-03, -7.4377e-03, -2.3840e-03,\n",
       "           2.7222e-02,  6.4643e-02,  2.1751e-02,  1.2563e-02,  6.5672e-03,\n",
       "          -3.6161e-03,  5.4882e-04,  4.6721e-02, -4.8630e-04,  1.5701e-02,\n",
       "           8.0076e-03, -1.3721e-02,  1.2355e-02,  1.8571e-02,  3.5749e-03,\n",
       "          -4.3499e-03,  1.9014e-02,  3.6873e-02,  0.0000e+00,  9.4681e-03,\n",
       "          -1.5357e-02, -1.1344e-03,  3.3742e-02, -4.2238e-04,  3.1752e-03,\n",
       "           6.0558e-03,  3.0436e-02, -3.5345e-02, -4.0739e-03, -3.7167e-04,\n",
       "           8.1394e-03, -5.2895e-03, -1.9034e-02,  2.3552e-02, -3.3774e-02,\n",
       "          -7.1901e-04,  1.5474e-02,  4.8749e-03,  4.3195e-03, -1.6578e-03,\n",
       "          -1.6644e-02, -1.1912e-03,  3.0824e-02, -1.6400e-05,  3.6214e-02,\n",
       "          -3.3654e-02,  0.0000e+00, -1.7956e-03,  1.3414e-03, -4.4810e-04,\n",
       "           3.4230e-02, -1.4675e-02, -1.8395e-05,  3.6241e-02,  1.3711e-02,\n",
       "           1.0058e-02, -1.4882e-02,  5.7515e-03, -2.2184e-02, -1.3126e-02,\n",
       "           3.9541e-04,  2.0445e-02,  3.7765e-05,  6.8071e-03, -3.8045e-02,\n",
       "           3.7541e-02, -7.6149e-03,  5.2144e-03, -1.1313e-03, -1.1621e-02,\n",
       "           1.1684e-02, -1.3263e-02,  0.0000e+00, -4.9283e-03,  1.4840e-02,\n",
       "           4.1649e-02, -6.9121e-02, -1.6807e-04, -2.0203e-04,  6.4917e-03,\n",
       "           2.4774e-03,  7.5788e-04, -2.4645e-02, -3.0749e-03,  2.7639e-06,\n",
       "           8.9240e-04,  2.7453e-02,  0.0000e+00,  2.3583e-04, -2.4702e-04,\n",
       "           7.7051e-04, -4.6856e-02, -1.3701e-03,  5.9968e-04,  3.2885e-05,\n",
       "           4.2009e-02, -1.7599e-03,  7.9403e-05,  6.4911e-03, -1.0276e-02,\n",
       "           8.3722e-04, -4.0765e-02,  2.6062e-04, -2.2816e-02, -4.0318e-02,\n",
       "           6.0933e-02,  1.3033e-02,  2.8052e-03,  7.0682e-03,  1.5035e-04,\n",
       "          -1.4923e-04,  0.0000e+00,  4.6422e-04, -4.9986e-03, -2.0134e-02,\n",
       "          -8.9305e-05,  3.6255e-03,  2.4923e-03, -7.6293e-02, -5.9621e-04,\n",
       "           5.1133e-03,  2.4042e-03,  8.0871e-03,  3.5275e-03,  6.7870e-05,\n",
       "          -1.9954e-02,  0.0000e+00, -1.5307e-03,  1.4285e-04, -8.1662e-04,\n",
       "           1.8026e-03, -9.7384e-03,  1.5176e-02,  1.3148e-02, -1.4219e-05,\n",
       "           1.3321e-04,  3.0640e-02,  9.0718e-03,  1.7083e-02,  0.0000e+00,\n",
       "          -3.2492e-02, -1.2065e-02,  7.3684e-02,  2.4532e-02, -7.3346e-04,\n",
       "          -1.8773e-03,  0.0000e+00, -1.0624e-03, -1.9104e-03,  2.2094e-02,\n",
       "          -6.5840e-04, -2.0630e-02,  2.9602e-03, -1.2593e-02,  9.5654e-03,\n",
       "           5.7201e-03,  3.2389e-02,  2.4468e-04,  1.2819e-05,  3.8700e-02,\n",
       "           4.0116e-03,  0.0000e+00, -8.5569e-04, -2.4449e-03,  1.9509e-02,\n",
       "           2.4331e-03,  1.9229e-04, -2.6902e-05, -1.7788e-02, -2.4346e-03,\n",
       "           7.7288e-03,  0.0000e+00,  3.0728e-03,  5.5798e-03,  3.8297e-06,\n",
       "           1.8893e-02,  4.7959e-02, -4.5346e-02, -2.2204e-02, -3.4264e-02,\n",
       "          -1.1960e-04,  2.6135e-02, -7.3251e-03,  3.5450e-02,  2.1851e-05,\n",
       "          -2.5540e-02,  2.5528e-05,  1.9951e-02,  7.6461e-05,  0.0000e+00,\n",
       "           2.7321e-02, -8.1546e-05,  1.1050e-03,  4.4218e-02, -3.9976e-03,\n",
       "           5.9600e-02, -3.6005e-03, -4.0977e-03,  2.8231e-03,  0.0000e+00,\n",
       "           2.8688e-02,  2.0890e-02, -2.1785e-02,  3.4954e-02,  2.0653e-03,\n",
       "          -6.3533e-03, -1.2568e-02, -1.1672e-04,  7.7665e-04, -1.8107e-02,\n",
       "           1.0678e-02,  1.9078e-02, -1.7465e-03, -1.8605e-02,  0.0000e+00,\n",
       "           7.3451e-05,  9.3580e-05,  4.9364e-04,  2.7549e-02, -1.8562e-02,\n",
       "          -5.4199e-03,  4.5465e-04, -1.6816e-02,  3.2322e-03, -5.1106e-02,\n",
       "          -2.0748e-03,  0.0000e+00, -5.9583e-02,  1.5477e-03,  9.1821e-03,\n",
       "           6.0675e-04, -8.1225e-03, -1.1643e-02,  1.8046e-02, -5.8907e-03,\n",
       "          -3.9995e-03,  1.0839e-03,  3.4400e-02, -7.5998e-04,  9.7741e-02,\n",
       "          -1.0702e-03, -3.1721e-02, -4.0533e-02,  2.6288e-02, -2.0770e-04,\n",
       "           5.8398e-04,  4.3888e-03,  0.0000e+00,  5.2481e-04, -4.4490e-02,\n",
       "           1.7641e-02, -1.8678e-06, -5.5004e-03,  3.0740e-02,  1.3394e-02,\n",
       "           2.2923e-02,  7.7510e-03, -2.3715e-02,  8.3505e-03,  0.0000e+00,\n",
       "           1.4188e-02,  7.0365e-04,  4.4573e-02, -2.8139e-02,  0.0000e+00,\n",
       "           0.0000e+00,  4.8653e-02, -1.6332e-03,  1.7666e-02,  0.0000e+00,\n",
       "          -4.0632e-04,  9.0391e-04,  4.6904e-03, -2.1427e-02,  2.4882e-02,\n",
       "          -6.2463e-03, -9.2171e-04,  1.0283e-02, -7.0608e-03,  7.6283e-03,\n",
       "          -7.1145e-03, -3.3673e-02, -1.8469e-02,  1.0776e-02, -2.0398e-02,\n",
       "          -1.9615e-05, -4.9603e-02, -3.6120e-02,  2.0298e-02, -1.7778e-03,\n",
       "          -1.2642e-02,  1.8598e-02,  9.2389e-02,  1.7662e-02,  3.1572e-02,\n",
       "          -7.8128e-03, -1.6900e-03, -2.5609e-03,  8.0301e-02,  2.3515e-03,\n",
       "           4.5061e-03,  6.3724e-04, -1.2573e-04, -1.2943e-02,  2.7365e-02,\n",
       "          -6.0718e-03,  2.2900e-03, -7.1507e-03, -1.8407e-04,  7.8079e-03,\n",
       "           4.0061e-04,  3.6576e-02, -2.0187e-04,  4.2739e-03, -6.2344e-03,\n",
       "          -1.9550e-02,  2.0130e-02,  9.7144e-05,  1.9479e-03,  3.7997e-03,\n",
       "          -9.0347e-03,  2.7301e-02,  0.0000e+00, -1.3711e-02,  0.0000e+00,\n",
       "           2.3779e-03,  1.6669e-02,  2.2084e-03,  4.6876e-02,  9.1281e-03,\n",
       "           8.0761e-03,  4.5357e-05, -1.0319e-02, -6.7658e-03,  4.3971e-04,\n",
       "           4.5845e-03, -1.1992e-04,  1.1885e-02, -3.4571e-02, -4.1519e-02,\n",
       "          -2.6148e-03,  3.0895e-02, -2.2242e-03,  2.9632e-02, -4.3683e-03,\n",
       "           5.6816e-03,  5.8697e-02, -7.7835e-02, -3.2126e-02, -8.1077e-03,\n",
       "           3.8223e-02,  2.5517e-02, -1.1721e-02,  6.6746e-03, -1.9116e-02,\n",
       "           5.7679e-02,  1.7544e-02,  2.0329e-03,  1.5075e-02,  5.3788e-02,\n",
       "          -7.7796e-04,  9.1233e-03, -3.9983e-02, -1.1358e-03, -1.4258e-02,\n",
       "           6.0793e-02,  1.7079e-02, -4.2659e-03,  1.1465e-04,  9.4940e-03,\n",
       "           9.3387e-03,  2.2889e-03, -6.2393e-03, -1.5402e-04, -2.0463e-02,\n",
       "           0.0000e+00,  5.5173e-03, -1.2139e-02, -4.4647e-03,  1.8076e-05,\n",
       "           1.3121e-03,  5.3911e-02,  6.6294e-03,  3.9472e-03, -9.8092e-05,\n",
       "           2.1629e-02, -3.0105e-04, -1.4292e-03, -9.4967e-03,  1.8539e-03,\n",
       "          -2.6095e-03, -1.3130e-03,  2.7345e-02, -2.2450e-02,  6.4279e-02,\n",
       "          -1.0594e-03,  4.7842e-03, -1.3252e-02, -1.7349e-02,  2.1261e-02,\n",
       "          -4.9300e-03,  1.0242e-02, -2.8599e-03,  4.8394e-03, -2.1267e-03,\n",
       "           1.4010e-04,  9.9801e-05,  2.9666e-02,  4.6965e-03, -1.7420e-02,\n",
       "          -5.3426e-03,  4.0280e-03, -1.1896e-02,  2.3132e-02,  7.6393e-03,\n",
       "           4.4005e-02,  8.0965e-03, -6.1993e-03, -2.1172e-02,  3.5999e-02,\n",
       "           7.1547e-04, -1.6114e-02,  5.3893e-04, -1.2497e-02,  9.0924e-04,\n",
       "          -2.7513e-03, -5.4229e-03,  2.0059e-02, -1.9434e-03,  1.5102e-02,\n",
       "           3.1661e-04, -4.2211e-02, -8.1128e-03,  6.3021e-03,  3.7700e-04,\n",
       "          -3.0874e-02, -3.5929e-03,  0.0000e+00, -3.2174e-02,  2.1053e-03,\n",
       "           5.6273e-03, -2.3833e-04, -8.9896e-04, -8.3803e-04, -2.7003e-02,\n",
       "          -4.7600e-05,  9.8445e-03, -2.5787e-02,  3.8239e-04,  1.9088e-04,\n",
       "          -1.6950e-05, -1.2988e-02,  1.5621e-02,  2.4522e-02, -4.9280e-03,\n",
       "           2.7115e-03, -2.6068e-02,  7.8279e-03,  3.4747e-05,  2.4598e-02,\n",
       "          -2.6807e-04, -5.9549e-03,  2.3790e-02, -2.4750e-04,  1.3498e-02,\n",
       "           1.5036e-02, -3.2184e-03,  6.1304e-03,  0.0000e+00,  1.5428e-02,\n",
       "          -4.8165e-03,  7.2476e-02,  3.6398e-03, -1.5557e-03, -3.5799e-02,\n",
       "           1.2981e-02,  4.8441e-03,  4.0291e-03,  1.0911e-06,  1.2847e-02,\n",
       "          -4.8133e-03,  5.1287e-02, -1.9755e-02,  2.6585e-02, -2.2182e-02,\n",
       "          -1.4812e-05, -4.1714e-03,  4.2412e-03,  7.0574e-02, -2.2470e-03,\n",
       "          -3.5576e-02,  5.6527e-04, -4.5860e-03,  3.2345e-02,  9.8129e-03,\n",
       "           6.1574e-03,  1.0897e-02, -3.5417e-03, -9.8425e-03, -8.0950e-03,\n",
       "           2.2239e-03, -2.9318e-03, -7.1151e-04, -4.6105e-03,  3.9096e-03,\n",
       "           3.4719e-02, -4.0671e-02], device='cuda:0'),\n",
       "  tensor([[[[ 8.8481e-04,  9.7748e-04,  1.0028e-03],\n",
       "            [ 3.3107e-04,  3.3624e-04,  3.5087e-04],\n",
       "            [ 1.1417e-05,  1.0488e-05,  1.8403e-06]],\n",
       "  \n",
       "           [[ 3.7649e-04,  6.4623e-04,  6.9428e-04],\n",
       "            [ 4.7841e-04,  7.2725e-04,  7.2604e-04],\n",
       "            [ 4.8650e-04,  7.4767e-04,  6.2705e-04]],\n",
       "  \n",
       "           [[ 4.9599e-04,  7.2018e-04,  7.1155e-04],\n",
       "            [ 1.8680e-04,  3.2067e-04,  1.7836e-04],\n",
       "            [ 4.0085e-04,  4.7561e-04,  3.6481e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.3315e-03,  1.5051e-03,  1.4775e-03],\n",
       "            [ 7.8299e-04,  8.6172e-04,  8.5157e-04],\n",
       "            [ 6.7803e-04,  7.6715e-04,  6.9670e-04]],\n",
       "  \n",
       "           [[ 7.4691e-03,  7.3095e-03,  6.8787e-03],\n",
       "            [ 6.5511e-03,  6.3777e-03,  6.1293e-03],\n",
       "            [ 4.8496e-03,  4.7415e-03,  4.1985e-03]],\n",
       "  \n",
       "           [[ 3.9380e-03,  4.0503e-03,  3.5957e-03],\n",
       "            [ 4.0196e-03,  4.0471e-03,  3.5361e-03],\n",
       "            [ 3.5061e-03,  3.4955e-03,  3.1128e-03]]],\n",
       "  \n",
       "  \n",
       "          [[[-2.6586e-06, -2.6798e-06, -4.2476e-06],\n",
       "            [ 6.1171e-05,  7.1095e-05,  8.8610e-05],\n",
       "            [ 0.0000e+00,  0.0000e+00,  1.3350e-06]],\n",
       "  \n",
       "           [[ 1.8814e-06,  5.8750e-06,  1.0214e-05],\n",
       "            [-1.6990e-05, -3.7736e-05, -8.2010e-06],\n",
       "            [-1.2664e-05, -2.3213e-05,  2.1518e-05]],\n",
       "  \n",
       "           [[ 1.5642e-05,  1.7022e-05,  1.1616e-05],\n",
       "            [ 6.6701e-05,  7.1287e-05,  1.0387e-04],\n",
       "            [ 3.2018e-05,  2.6927e-05,  3.8656e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 4.3927e-05,  7.8970e-05,  6.8704e-05],\n",
       "            [ 1.3110e-04,  1.4247e-04,  1.7226e-04],\n",
       "            [ 2.5108e-05,  3.5918e-05,  2.7619e-05]],\n",
       "  \n",
       "           [[ 1.2804e-04,  8.2190e-05,  7.9788e-05],\n",
       "            [ 2.6297e-04,  2.4837e-04,  2.2855e-04],\n",
       "            [ 4.1202e-04,  3.8773e-04,  4.3497e-04]],\n",
       "  \n",
       "           [[ 2.2142e-05, -4.9108e-06,  8.6405e-06],\n",
       "            [ 1.1924e-04,  8.1889e-05,  7.6714e-05],\n",
       "            [ 1.5806e-04,  1.3228e-04,  1.3223e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-1.1257e-03, -1.0907e-03, -1.0821e-03],\n",
       "            [ 1.2327e-04,  1.0296e-04,  7.3796e-05],\n",
       "            [ 2.9829e-05,  2.7279e-05, -5.1935e-06]],\n",
       "  \n",
       "           [[-6.0652e-04, -8.7146e-04, -5.1607e-04],\n",
       "            [-9.1804e-04, -1.1924e-03, -8.7562e-04],\n",
       "            [-5.3579e-04, -6.6128e-04, -6.4641e-04]],\n",
       "  \n",
       "           [[-1.1737e-03, -1.2918e-03, -1.2984e-03],\n",
       "            [-8.4845e-04, -9.8316e-04, -9.0271e-04],\n",
       "            [-8.8482e-04, -1.0713e-03, -1.1195e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.3736e-03, -2.1152e-03, -2.1010e-03],\n",
       "            [-1.4443e-03, -1.3760e-03, -1.4718e-03],\n",
       "            [-1.3156e-03, -1.1531e-03, -1.2952e-03]],\n",
       "  \n",
       "           [[-6.6409e-03, -5.9097e-03, -6.0306e-03],\n",
       "            [-7.4244e-03, -6.5459e-03, -6.5715e-03],\n",
       "            [-6.9885e-03, -6.2713e-03, -6.4960e-03]],\n",
       "  \n",
       "           [[-4.1221e-03, -3.7368e-03, -3.0899e-03],\n",
       "            [-4.3814e-03, -3.7642e-03, -3.5440e-03],\n",
       "            [-4.8882e-03, -4.6603e-03, -4.2871e-03]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  1.2953e-05,  2.7919e-05],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [ 0.0000e+00,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[ 3.0626e-06,  1.2535e-05,  6.7776e-05],\n",
       "            [ 1.3401e-04,  1.4512e-04,  1.4972e-04],\n",
       "            [ 4.2822e-06,  5.2729e-06,  2.9102e-05]],\n",
       "  \n",
       "           [[ 6.2257e-05,  3.5031e-05,  6.0707e-05],\n",
       "            [ 6.4973e-06,  5.9593e-06,  1.9210e-05],\n",
       "            [ 0.0000e+00,  0.0000e+00,  2.3929e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.7612e-04,  2.2796e-04,  2.8358e-04],\n",
       "            [ 6.4099e-05,  1.0050e-04,  6.3041e-05],\n",
       "            [ 0.0000e+00,  3.0791e-05,  0.0000e+00]],\n",
       "  \n",
       "           [[ 1.1214e-03,  1.2659e-03,  1.1558e-03],\n",
       "            [ 5.2556e-04,  6.4850e-04,  6.5113e-04],\n",
       "            [ 2.5969e-04,  2.5030e-04,  3.0488e-04]],\n",
       "  \n",
       "           [[ 6.3101e-04,  6.2896e-04,  5.9285e-04],\n",
       "            [ 3.2492e-04,  5.6931e-04,  5.9362e-04],\n",
       "            [ 1.4675e-04,  1.1893e-04,  2.0944e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
       "            [-4.6397e-04, -5.1765e-04, -6.0108e-04],\n",
       "            [-5.7937e-06, -1.3987e-05, -1.7884e-05]],\n",
       "  \n",
       "           [[-1.5470e-07, -1.9017e-05, -8.9651e-06],\n",
       "            [-7.8083e-06, -4.0590e-06, -5.7142e-05],\n",
       "            [-3.5200e-05, -5.3662e-05, -1.2621e-04]],\n",
       "  \n",
       "           [[-1.6128e-05, -2.5824e-05, -4.1777e-05],\n",
       "            [-2.0684e-04, -2.0224e-04, -1.9526e-04],\n",
       "            [-2.7188e-05, -4.4957e-05, -3.3670e-05]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-3.2241e-05, -1.8052e-05, -6.6064e-05],\n",
       "            [-2.5742e-04, -4.2888e-04, -5.4053e-04],\n",
       "            [-1.0207e-04, -6.8345e-05, -1.0487e-04]],\n",
       "  \n",
       "           [[-1.1466e-04, -1.1903e-04, -1.6465e-04],\n",
       "            [-5.0110e-04, -6.5875e-04, -6.0457e-04],\n",
       "            [-8.4622e-04, -1.1420e-03, -9.2196e-04]],\n",
       "  \n",
       "           [[-4.4024e-05, -4.6885e-05, -1.1837e-04],\n",
       "            [-8.9689e-05, -1.7851e-04, -1.5550e-04],\n",
       "            [-3.0128e-04, -3.9271e-04, -2.5310e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.8806e-05, -8.3070e-05, -1.3417e-04],\n",
       "            [-8.2305e-04, -8.1315e-04, -8.0666e-04],\n",
       "            [-1.1049e-05, -1.5673e-05, -1.0439e-05]],\n",
       "  \n",
       "           [[-1.4683e-04, -1.9104e-04, -2.3205e-04],\n",
       "            [-9.5475e-05, -1.8047e-04, -2.6396e-04],\n",
       "            [-1.7303e-04, -2.3349e-04, -3.0850e-04]],\n",
       "  \n",
       "           [[-4.7282e-04, -4.4708e-04, -4.8124e-04],\n",
       "            [-8.7425e-04, -9.5618e-04, -9.4307e-04],\n",
       "            [-5.6794e-04, -6.5859e-04, -7.1902e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-6.7177e-04, -6.6383e-04, -6.7720e-04],\n",
       "            [-1.4707e-03, -1.3984e-03, -1.3918e-03],\n",
       "            [-7.8463e-04, -8.0381e-04, -9.1054e-04]],\n",
       "  \n",
       "           [[-1.7769e-03, -1.8566e-03, -1.6767e-03],\n",
       "            [-3.0601e-03, -3.1348e-03, -2.9384e-03],\n",
       "            [-4.2518e-03, -4.3540e-03, -4.2237e-03]],\n",
       "  \n",
       "           [[-9.2496e-04, -9.8890e-04, -9.2651e-04],\n",
       "            [-1.5128e-03, -1.3826e-03, -1.3276e-03],\n",
       "            [-2.0584e-03, -2.0936e-03, -1.9717e-03]]]], device='cuda:0'),\n",
       "  tensor([ 1.8789e-02,  1.0750e-05, -9.2965e-03,  4.5015e-03, -3.5353e-03,\n",
       "           2.9290e-04, -4.2445e-02, -4.9694e-04,  2.5793e-02,  4.6315e-04,\n",
       "           4.4893e-02, -3.7501e-04,  1.0918e-02, -8.3298e-02, -1.7984e-05,\n",
       "           1.4265e-03,  4.2777e-02, -7.0385e-03,  5.5944e-03, -2.1926e-05,\n",
       "           8.3986e-03,  6.9329e-04,  1.5874e-02, -1.1562e-02, -2.6587e-02,\n",
       "          -2.9577e-02,  1.4958e-02, -2.4718e-03, -2.8285e-03,  2.8730e-03,\n",
       "          -2.0677e-04, -9.5046e-03,  1.8566e-02, -1.2117e-02,  1.9713e-03,\n",
       "          -2.4019e-03,  5.7783e-03,  9.5917e-02,  1.3397e-03, -6.0661e-03,\n",
       "           2.2584e-03, -3.2205e-02, -3.0144e-02, -2.4047e-02, -1.1928e-03,\n",
       "           1.1671e-02,  8.0278e-05, -5.2666e-04,  1.6169e-03, -3.7013e-04,\n",
       "           4.6724e-04, -7.7987e-03,  1.4123e-02,  3.4931e-02, -6.8858e-04,\n",
       "          -1.6381e-03,  9.7624e-02,  1.5956e-02, -6.7585e-02,  0.0000e+00,\n",
       "          -3.8492e-03,  0.0000e+00, -1.5452e-02,  4.3259e-03,  3.3636e-03,\n",
       "          -1.2068e-03,  3.2756e-03, -3.0352e-04, -4.3419e-03,  6.0856e-03,\n",
       "           8.2929e-03, -1.4782e-03, -3.9589e-05,  3.8340e-03, -2.1757e-02,\n",
       "          -1.1058e-03,  4.1761e-03, -4.7691e-05,  3.5815e-02, -5.6004e-05,\n",
       "           4.2234e-03,  1.4414e-02,  0.0000e+00, -1.9838e-03,  3.8900e-04,\n",
       "          -9.4190e-06,  3.5752e-03,  1.2811e-04, -6.2379e-05,  1.3433e-03,\n",
       "           3.9745e-05,  9.3308e-03,  2.2365e-04, -4.7928e-03,  1.3146e-02,\n",
       "           1.9519e-02,  1.0173e-03, -8.2444e-06,  5.2662e-04,  3.9202e-03,\n",
       "          -5.9788e-03, -1.1149e-05,  2.4501e-04, -5.1077e-02, -8.2795e-04,\n",
       "          -3.5193e-03,  1.3064e-02,  2.3730e-02, -7.8571e-03,  4.0239e-02,\n",
       "           4.4226e-02, -5.6040e-05, -1.1679e-03,  4.5831e-02,  2.5013e-03,\n",
       "          -5.7444e-05,  9.4846e-04,  4.9374e-05, -5.2936e-03, -2.9002e-03,\n",
       "           1.8142e-06,  1.8681e-02,  3.0122e-03,  8.4607e-05,  0.0000e+00,\n",
       "           7.8374e-02, -2.6946e-02, -5.4085e-03, -4.7899e-03, -7.3543e-04,\n",
       "          -2.7807e-03,  2.2854e-02, -5.1108e-05,  8.0187e-03, -1.6905e-04,\n",
       "           4.3298e-02,  0.0000e+00,  3.8262e-05,  8.7515e-03,  3.9590e-05,\n",
       "           3.4330e-05,  3.4287e-03,  1.3773e-05, -2.0785e-02,  2.3406e-02,\n",
       "          -1.3155e-04,  7.4544e-05, -3.6514e-06,  3.4268e-03, -5.2236e-03,\n",
       "           1.2536e-03, -1.5631e-04, -1.5087e-02, -1.5812e-03, -2.2479e-02,\n",
       "           3.4042e-04, -2.2341e-03, -3.6170e-06,  9.1530e-05, -2.8049e-03,\n",
       "           1.4071e-03, -9.4885e-04,  1.9352e-02, -1.1008e-05, -1.6167e-05,\n",
       "           3.6488e-04, -1.6273e-02, -7.7757e-03,  0.0000e+00, -3.0872e-02,\n",
       "          -2.1762e-03, -7.6917e-06,  3.8530e-06,  1.0464e-02, -1.3961e-01,\n",
       "          -7.8605e-03, -1.4256e-02, -2.5319e-02,  3.5836e-03, -2.0330e-03,\n",
       "          -1.7398e-02,  2.1845e-05,  0.0000e+00, -1.0629e-01,  2.7155e-02,\n",
       "          -1.3950e-02, -2.8574e-02,  1.4011e-04,  8.1892e-03, -1.3241e-06,\n",
       "           1.9142e-03,  5.8867e-04, -7.5612e-04, -2.0816e-03,  8.2256e-04,\n",
       "           2.5113e-02,  4.1291e-05,  4.6771e-03,  1.3239e-02,  1.6129e-04,\n",
       "           1.5603e-05, -8.8868e-03, -1.1759e-03,  2.0142e-02,  3.1837e-03,\n",
       "           7.1789e-03, -5.4629e-03, -4.6190e-02, -1.0552e-03, -4.2328e-03,\n",
       "           3.2086e-05, -4.1906e-06, -6.9768e-03,  2.0288e-02,  2.5538e-03,\n",
       "          -1.4903e-02,  7.5248e-05, -7.0714e-04,  1.0303e-03,  1.7126e-02,\n",
       "           2.4540e-02, -1.0215e-02, -1.1440e-03,  1.6845e-02,  2.4185e-02,\n",
       "           1.2762e-02,  8.6638e-05,  6.7084e-03, -5.3359e-05,  1.7873e-02,\n",
       "           1.9012e-02, -5.5715e-03, -1.1136e-03, -6.5012e-03,  4.7047e-04,\n",
       "          -7.6447e-05,  1.9817e-04,  1.7498e-02, -3.7232e-02, -7.0156e-03,\n",
       "           1.7491e-03, -8.6442e-04, -4.7626e-03,  2.1821e-05,  2.3451e-03,\n",
       "           5.6802e-02, -4.3899e-02, -4.0223e-06, -3.6556e-03,  8.1857e-02,\n",
       "          -1.8192e-05, -1.1792e-02,  2.6736e-02, -5.6895e-06,  2.4108e-02,\n",
       "          -1.3401e-02,  3.0581e-03,  2.6677e-03,  4.3580e-04,  1.2204e-02,\n",
       "           2.6835e-03, -1.9726e-02, -8.1633e-03, -4.7739e-05,  6.8099e-03,\n",
       "          -1.1974e-05, -3.5881e-02,  6.0430e-03,  4.9306e-03,  8.5739e-04,\n",
       "          -8.0743e-03, -3.3105e-06,  5.3048e-04, -6.2549e-04,  0.0000e+00,\n",
       "           1.1602e-01,  3.5182e-06,  1.5174e-02, -6.1265e-04,  0.0000e+00,\n",
       "           2.8407e-02,  1.2497e-02,  7.8556e-05, -6.7996e-04,  2.7284e-02,\n",
       "           3.8045e-02,  1.3318e-03,  9.2851e-04,  4.7615e-05,  1.9031e-03,\n",
       "          -8.1265e-04,  4.5607e-02,  2.2624e-02, -1.1003e-03,  0.0000e+00,\n",
       "           9.4898e-03,  1.0320e-02,  4.7583e-02, -7.0904e-03,  2.9577e-03,\n",
       "           5.1729e-03, -2.2099e-03,  9.3623e-03, -1.6739e-02, -1.2480e-02,\n",
       "          -3.3922e-02, -1.6193e-06,  0.0000e+00, -1.4589e-03, -3.4528e-04,\n",
       "           0.0000e+00, -7.9479e-06, -2.0332e-02, -1.4100e-03,  2.5861e-02,\n",
       "           2.7354e-02,  1.3944e-02, -9.5102e-05,  3.7572e-02, -1.1886e-03,\n",
       "           0.0000e+00, -1.2097e-04, -3.4415e-04,  1.4039e-02, -4.2610e-03,\n",
       "          -1.0770e-02, -7.4241e-03,  4.1797e-02,  8.8117e-03, -8.8541e-04,\n",
       "          -6.5795e-04, -1.0181e-03, -2.7314e-03, -1.0182e-02, -5.9702e-03,\n",
       "           1.7459e-02,  5.3572e-04,  8.2297e-04, -3.8001e-02, -2.7263e-02,\n",
       "          -2.5580e-03,  6.7713e-02,  4.3091e-03, -2.2514e-04,  8.5305e-04,\n",
       "           2.3414e-03, -2.3657e-06, -1.1539e-04, -6.6946e-02, -1.6312e-02,\n",
       "           1.3634e-04, -2.2981e-02,  1.5883e-02,  1.1211e-02, -2.4576e-02,\n",
       "          -1.6623e-03,  1.7506e-02,  8.0785e-02,  4.1009e-04, -4.8868e-03,\n",
       "           2.7322e-03,  6.7137e-03,  3.1879e-04,  1.8451e-02,  1.3130e-01,\n",
       "          -4.8776e-03,  0.0000e+00,  1.1003e-03, -2.2054e-02, -3.2503e-02,\n",
       "           3.0940e-03, -2.4872e-02,  3.2093e-03, -1.0029e-05,  4.7346e-03,\n",
       "          -6.4489e-03,  6.3494e-03, -3.1081e-02,  3.7528e-05,  1.2902e-03,\n",
       "           1.6979e-03, -3.4993e-02, -1.7010e-03,  5.5078e-06, -2.4283e-07,\n",
       "          -3.9398e-03, -3.5539e-04, -1.5454e-05,  3.2990e-04, -5.6728e-03,\n",
       "           6.2984e-04, -1.9731e-02,  3.3072e-02,  3.4200e-03,  3.3221e-03,\n",
       "          -3.3904e-02, -7.5048e-05,  2.2808e-03, -2.8007e-02, -1.5841e-02,\n",
       "          -3.5094e-03,  1.9347e-03, -1.2585e-07, -4.6282e-02, -4.1640e-04,\n",
       "          -3.5411e-04,  4.0895e-03, -1.5249e-06,  2.9601e-04, -1.7631e-05,\n",
       "           1.0758e-07, -4.0186e-03, -1.8651e-03, -4.1452e-05, -1.0946e-02,\n",
       "           2.4580e-03, -1.4519e-02,  2.7880e-06, -3.6203e-03, -7.5325e-03,\n",
       "           6.0984e-04,  1.9805e-03,  4.6081e-04,  9.9629e-05,  1.4198e-02,\n",
       "           2.1409e-02, -1.3685e-02, -1.8014e-06, -1.3851e-04,  5.7290e-05,\n",
       "           5.9449e-05,  5.5308e-03,  1.0524e-03,  3.0100e-03,  5.3665e-04,\n",
       "           1.2515e-02,  6.5280e-03,  3.1273e-05,  7.5796e-03, -6.0086e-04,\n",
       "          -2.8920e-06, -2.2471e-03,  3.8380e-06, -1.5969e-02,  6.5840e-02,\n",
       "           1.3818e-04, -2.4612e-03, -1.6504e-03,  7.4915e-02,  1.3263e-02,\n",
       "           5.7894e-02, -5.0457e-05,  6.0859e-03, -8.7456e-05, -1.2078e-02,\n",
       "           1.0193e-04, -4.8465e-03, -7.5801e-06, -2.1725e-02, -8.2786e-03,\n",
       "           1.4811e-05, -3.7918e-04,  3.9014e-02,  1.1868e-03,  3.5585e-03,\n",
       "          -6.2829e-05, -1.2129e-01,  6.2516e-04,  7.7243e-02, -2.9270e-06,\n",
       "           1.3636e-04,  9.1734e-04, -2.6779e-04, -7.4918e-05,  3.7403e-05,\n",
       "          -7.8268e-03,  1.2272e-02, -3.4749e-03, -2.2335e-02,  2.1956e-02,\n",
       "          -1.0838e-03, -3.4720e-03,  9.0504e-02, -3.8605e-04,  1.2669e-05,\n",
       "           7.3255e-03, -2.2780e-04, -1.8643e-02, -1.1063e-02,  5.4863e-03,\n",
       "          -3.9230e-04,  6.6028e-04, -3.3922e-03,  1.5832e-04,  1.1260e-03,\n",
       "          -1.2306e-02,  1.3483e-02, -4.7781e-03, -4.9423e-03, -7.9334e-05,\n",
       "          -4.6749e-04, -1.6222e-02, -1.8805e-02,  7.4361e-03, -6.7306e-03,\n",
       "          -8.8477e-03,  1.6705e-02, -5.5526e-04, -8.1199e-04,  4.8473e-04,\n",
       "          -2.6056e-04, -1.5642e-03], device='cuda:0'),\n",
       "  tensor([ 8.7802e-03, -9.4867e-05, -8.7340e-03,  1.0386e-02, -4.6269e-03,\n",
       "           3.8891e-04, -1.9470e-02,  1.0742e-03,  3.3905e-02,  1.6539e-03,\n",
       "           3.1240e-02, -9.7276e-04,  3.2082e-02, -5.9237e-02, -2.2466e-04,\n",
       "           2.0805e-03,  2.7081e-02, -8.8822e-03,  2.9260e-03, -1.4703e-04,\n",
       "           1.1940e-02, -1.7623e-03,  1.0276e-02, -8.2583e-03, -1.8864e-02,\n",
       "          -2.4208e-02,  8.5834e-03, -1.7797e-03, -5.2989e-03,  7.2464e-03,\n",
       "          -9.5182e-04, -1.6707e-02,  1.1857e-02, -8.9305e-03,  4.1365e-03,\n",
       "          -4.7258e-03,  3.4370e-03,  4.7771e-02,  2.7350e-03, -4.5651e-03,\n",
       "           3.8369e-03, -3.5753e-02, -2.5066e-02, -3.6016e-02, -2.9019e-03,\n",
       "           2.6522e-02,  5.5633e-04,  8.8888e-05,  4.6163e-03, -4.7480e-04,\n",
       "           1.6227e-03, -1.9329e-02,  1.9140e-02,  4.4694e-02, -7.1434e-04,\n",
       "          -6.6318e-03,  5.9456e-02,  1.7842e-02, -3.2338e-02,  0.0000e+00,\n",
       "          -1.0209e-02,  0.0000e+00, -1.1444e-02,  3.1992e-03,  5.4822e-03,\n",
       "          -3.9914e-03,  5.4307e-03, -1.7120e-03, -9.0870e-03,  3.1120e-03,\n",
       "           8.6658e-03, -2.8255e-03, -1.9678e-04,  9.2922e-03, -2.9199e-02,\n",
       "          -1.1637e-03,  7.0981e-03, -3.7232e-04,  2.9847e-02, -4.1109e-04,\n",
       "           9.6908e-03,  1.5840e-02,  0.0000e+00, -6.1714e-03,  9.5347e-04,\n",
       "          -1.2685e-05,  6.1868e-03,  7.1993e-04, -2.9496e-04,  1.5356e-03,\n",
       "           2.5378e-04,  9.8310e-03,  7.8643e-04, -1.2091e-02,  1.1252e-02,\n",
       "           1.3693e-02,  4.0035e-03, -1.7463e-05,  1.9110e-03,  8.8071e-03,\n",
       "          -1.0131e-02, -4.8229e-05,  5.6090e-04, -4.8092e-02, -3.1991e-03,\n",
       "          -3.2859e-03,  1.7379e-02,  1.2041e-02, -4.5711e-03,  2.7482e-02,\n",
       "           2.0290e-02, -6.0625e-04, -3.9825e-03,  3.5070e-02,  9.8097e-03,\n",
       "          -1.9546e-04,  4.9584e-03,  3.0439e-04, -8.6050e-03, -4.7984e-03,\n",
       "           1.2558e-05,  1.7066e-02,  5.0938e-03,  3.2951e-04,  0.0000e+00,\n",
       "           4.3754e-02, -4.0994e-02, -5.8760e-03, -9.0978e-03,  2.3295e-04,\n",
       "          -5.2442e-03,  4.3838e-02, -2.9811e-04,  1.4622e-02, -7.7986e-04,\n",
       "           1.5704e-02,  0.0000e+00, -1.2055e-03,  4.9124e-03, -1.0843e-03,\n",
       "           2.1782e-04,  1.0369e-02, -1.0201e-05, -8.7423e-03,  2.2104e-02,\n",
       "          -1.0080e-03,  3.2201e-04, -7.0109e-05,  4.1237e-03, -9.1506e-03,\n",
       "           4.2643e-03, -1.4013e-04, -6.3602e-03, -5.1517e-03, -1.8989e-02,\n",
       "           1.8466e-03, -3.4347e-03,  3.2300e-06,  5.3773e-04, -4.3295e-03,\n",
       "           2.2671e-03, -3.7092e-03,  1.3433e-02, -8.9478e-05, -7.1804e-04,\n",
       "           5.6523e-04, -2.7344e-02, -1.4617e-02,  0.0000e+00, -5.5354e-02,\n",
       "          -8.2091e-03, -5.3784e-05,  5.0138e-05,  6.3888e-03, -5.5484e-02,\n",
       "          -1.0662e-02, -1.4392e-02, -1.9602e-02,  8.7216e-03, -3.1419e-03,\n",
       "          -3.0720e-02,  4.4703e-05,  0.0000e+00, -4.6417e-02,  2.5205e-02,\n",
       "          -1.8261e-02, -3.7008e-02,  7.3576e-04,  1.6410e-02, -1.6713e-05,\n",
       "           5.2513e-03,  1.3283e-03, -2.1773e-03, -8.6815e-03,  1.4192e-03,\n",
       "           3.8985e-02,  1.5265e-04,  4.7359e-03,  1.3670e-02,  4.6181e-04,\n",
       "           2.0329e-04, -9.1641e-03, -2.9979e-03,  8.7542e-03,  1.0912e-02,\n",
       "           9.7388e-03, -7.8175e-03, -4.2668e-02, -1.9138e-03,  6.4202e-04,\n",
       "           6.9539e-04, -3.8093e-05, -1.3714e-02,  1.4037e-02,  7.6880e-03,\n",
       "          -1.6940e-02,  3.9511e-04, -1.6294e-03,  3.0562e-03,  1.9502e-02,\n",
       "           4.1230e-02, -1.6706e-02, -2.4190e-03,  3.0660e-02,  2.2184e-02,\n",
       "           2.4991e-02,  3.0076e-04,  1.7073e-02, -2.8053e-04,  2.9907e-02,\n",
       "           3.2045e-02, -1.3815e-02, -4.1835e-03, -1.1642e-02,  1.3960e-03,\n",
       "          -6.8161e-05,  6.4493e-04,  1.7754e-02, -1.8822e-02, -1.1603e-02,\n",
       "           2.8436e-03, -2.2882e-03, -1.1975e-03,  1.5111e-04,  2.8373e-03,\n",
       "           4.4129e-02, -3.7677e-02, -2.0191e-05, -6.4417e-03,  3.3281e-02,\n",
       "          -1.5765e-04, -1.2948e-02,  1.7402e-02, -4.2625e-04,  4.1718e-02,\n",
       "          -1.3822e-02,  7.7876e-03,  6.7388e-03,  1.3027e-03,  1.0690e-02,\n",
       "           6.9477e-04, -3.8130e-02, -1.0508e-02, -2.3146e-04,  1.5516e-02,\n",
       "          -3.0146e-05, -4.2398e-02,  6.8313e-03,  1.0038e-02,  2.8833e-03,\n",
       "          -1.6007e-02, -1.6603e-05,  2.8333e-03, -2.0827e-03,  0.0000e+00,\n",
       "           3.4617e-02,  2.0974e-05,  3.8028e-02, -2.6021e-03,  0.0000e+00,\n",
       "           1.0309e-02,  1.1414e-02,  4.1648e-04, -1.7929e-03,  1.9584e-02,\n",
       "           2.8125e-02,  4.9914e-03,  2.6604e-03,  3.7525e-04,  6.4816e-03,\n",
       "          -2.6910e-03,  3.2916e-02,  1.3576e-02, -5.3709e-03,  0.0000e+00,\n",
       "           2.4425e-02,  7.3547e-03,  3.7304e-02, -3.4119e-03,  6.2119e-03,\n",
       "           1.0685e-02, -5.8532e-03,  2.9596e-02, -1.5062e-02, -1.1138e-02,\n",
       "          -2.5555e-02, -1.5280e-05,  0.0000e+00, -4.6025e-03, -1.3566e-03,\n",
       "           0.0000e+00, -8.0540e-06, -5.4254e-03, -6.3067e-03,  2.9094e-02,\n",
       "           1.8198e-02,  1.8365e-02, -3.7429e-04,  2.1339e-02, -2.1730e-03,\n",
       "           0.0000e+00, -5.6255e-04, -8.7725e-04,  5.9956e-03, -1.1813e-03,\n",
       "          -1.8816e-02, -3.7400e-03,  3.0990e-02,  2.0122e-02, -6.3610e-04,\n",
       "          -2.3293e-03, -3.1295e-03, -6.5167e-03, -8.1487e-03, -7.3909e-03,\n",
       "           3.6566e-02,  3.3779e-04,  3.0631e-03, -1.5958e-02, -3.6524e-02,\n",
       "          -5.1865e-03,  4.0151e-02,  1.0330e-02, -9.0189e-04,  3.4436e-03,\n",
       "           7.0567e-03, -5.7337e-05, -5.8789e-04, -2.8054e-02, -1.4789e-02,\n",
       "           5.0960e-04, -3.8697e-02,  3.9475e-03,  2.5686e-02, -3.6684e-02,\n",
       "          -3.2593e-03,  4.1697e-02,  3.1193e-02,  2.5723e-03, -1.1479e-02,\n",
       "           7.5465e-03,  1.0632e-02,  9.8066e-04,  1.9093e-02,  6.5020e-02,\n",
       "          -9.0145e-03,  0.0000e+00,  3.3027e-03, -1.5916e-02, -1.9075e-02,\n",
       "           4.3295e-03, -3.9041e-02,  4.0003e-03, -2.9410e-05,  1.2737e-02,\n",
       "          -7.5284e-03,  1.3729e-02, -4.1302e-02,  3.5367e-04,  6.0779e-03,\n",
       "           4.3793e-03, -2.8791e-02, -5.3942e-03,  6.8558e-05,  1.3997e-06,\n",
       "          -9.6942e-03, -5.9949e-04, -2.3860e-04,  2.1266e-03, -7.6914e-03,\n",
       "           7.3041e-04, -7.8335e-03,  2.8823e-02,  7.4452e-03,  2.0003e-03,\n",
       "          -4.6464e-02, -3.8811e-04,  7.3405e-03, -2.4676e-02, -8.0176e-03,\n",
       "          -7.7850e-03,  5.4608e-03, -3.0551e-07, -3.5181e-02, -1.8373e-03,\n",
       "          -9.6744e-04,  6.5100e-03, -1.0173e-05,  1.7052e-03, -2.5897e-04,\n",
       "           1.5247e-06, -9.2939e-03, -4.0442e-03, -1.5480e-04, -2.6973e-02,\n",
       "           5.2358e-03, -2.9549e-02, -2.1124e-05, -1.0427e-02, -2.0471e-02,\n",
       "           8.1508e-04,  3.6242e-03,  5.5643e-04,  5.7458e-04,  2.0102e-02,\n",
       "           1.5058e-02, -1.9650e-02, -6.5021e-06, -4.2210e-04,  1.9322e-04,\n",
       "           2.2525e-04,  1.1081e-02,  4.9998e-03,  1.3127e-03,  1.5737e-03,\n",
       "           1.3614e-02,  1.3621e-02,  2.7231e-04,  1.0958e-02, -1.8109e-03,\n",
       "          -6.1944e-05, -8.7253e-03,  4.3139e-05, -1.3527e-02,  2.7086e-02,\n",
       "           1.7238e-04, -4.1857e-03, -4.8678e-03,  5.1285e-02,  1.1652e-02,\n",
       "           3.5229e-02, -4.3137e-04,  1.3637e-02, -4.7378e-04, -2.5248e-02,\n",
       "          -1.2350e-05, -1.0517e-02, -9.4856e-05, -2.0643e-02, -1.3963e-02,\n",
       "           1.7739e-04, -1.2463e-03,  1.3457e-02,  1.3491e-03,  1.5799e-02,\n",
       "          -3.4171e-04, -4.3406e-02,  1.6703e-03,  5.3910e-02, -3.4785e-05,\n",
       "           5.2900e-04, -3.9654e-03, -6.4151e-04, -6.1746e-04,  1.9837e-04,\n",
       "          -1.7127e-02,  5.1203e-03, -1.1012e-02, -2.2900e-02,  2.5031e-02,\n",
       "          -1.4409e-03, -4.5737e-03,  7.8482e-02, -3.5975e-03,  2.4178e-05,\n",
       "           1.6186e-02, -7.2453e-04, -2.6076e-02, -8.6127e-03,  1.5319e-02,\n",
       "          -8.9558e-04,  3.0513e-03, -7.9288e-03,  8.8067e-04,  2.0504e-03,\n",
       "          -2.9015e-02,  2.0316e-02, -9.6379e-03, -7.9004e-03, -4.2577e-04,\n",
       "          -1.3515e-03, -1.2467e-02, -1.5916e-02,  2.9101e-03, -9.2559e-03,\n",
       "          -1.7786e-02,  2.2761e-02, -6.1501e-04, -3.6415e-03,  1.6249e-03,\n",
       "          -6.1049e-04, -2.3896e-03], device='cuda:0'),\n",
       "  tensor([[[[ 5.8588e-03,  6.1896e-03,  6.3770e-03],\n",
       "            [ 6.2094e-03,  6.5673e-03,  6.7172e-03],\n",
       "            [ 6.2325e-03,  6.6193e-03,  6.7728e-03]],\n",
       "  \n",
       "           [[ 2.6541e-05,  2.1865e-05,  2.2414e-05],\n",
       "            [ 2.8586e-05,  2.8623e-05,  2.9247e-05],\n",
       "            [ 2.5583e-05,  2.6292e-05,  2.7037e-05]],\n",
       "  \n",
       "           [[ 3.2538e-03,  3.3790e-03,  3.3753e-03],\n",
       "            [ 3.1637e-03,  3.2993e-03,  3.3277e-03],\n",
       "            [ 3.1780e-03,  3.3003e-03,  3.3026e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 1.4521e-05,  1.4845e-05,  1.0875e-05],\n",
       "            [ 1.0829e-05,  9.6867e-06,  1.4262e-05],\n",
       "            [ 2.2053e-05,  2.4216e-05,  1.9269e-05]],\n",
       "  \n",
       "           [[ 1.0755e-05,  9.8849e-06,  7.0479e-06],\n",
       "            [ 2.9790e-05,  2.9790e-05,  2.9775e-05],\n",
       "            [ 3.7093e-06,  3.7093e-06,  3.7093e-06]],\n",
       "  \n",
       "           [[ 1.6487e-04,  1.7261e-04,  1.8515e-04],\n",
       "            [ 3.5067e-04,  3.6029e-04,  3.6178e-04],\n",
       "            [ 1.5842e-04,  1.6517e-04,  1.6615e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 3.7088e-02,  3.8407e-02,  3.7777e-02],\n",
       "            [ 3.6602e-02,  3.7560e-02,  3.6989e-02],\n",
       "            [ 3.2319e-02,  3.3272e-02,  3.2816e-02]],\n",
       "  \n",
       "           [[ 9.5638e-05,  9.7565e-05,  9.5064e-05],\n",
       "            [ 8.2634e-05,  1.0302e-04,  9.4618e-05],\n",
       "            [ 8.6733e-05,  7.4582e-05,  7.7821e-05]],\n",
       "  \n",
       "           [[ 1.8281e-02,  1.8739e-02,  1.8237e-02],\n",
       "            [ 1.8603e-02,  1.8853e-02,  1.8177e-02],\n",
       "            [ 1.8319e-02,  1.8367e-02,  1.7595e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 8.9960e-05,  8.9960e-05,  6.0549e-05],\n",
       "            [ 2.0299e-04,  2.2653e-04,  1.5471e-04],\n",
       "            [ 2.6274e-04,  2.5529e-04,  2.0808e-04]],\n",
       "  \n",
       "           [[ 1.5326e-04,  1.3952e-04,  1.6481e-04],\n",
       "            [ 1.1750e-04,  1.1244e-04,  1.5675e-04],\n",
       "            [ 2.4020e-06,  6.8547e-06,  4.4527e-06]],\n",
       "  \n",
       "           [[ 1.2116e-03,  1.2947e-03,  1.2124e-03],\n",
       "            [ 8.7777e-04,  9.7316e-04,  8.6574e-04],\n",
       "            [ 1.1924e-04,  1.6065e-04,  1.0703e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[-8.0882e-03, -8.3703e-03, -8.5690e-03],\n",
       "            [-8.5115e-03, -8.8293e-03, -8.9592e-03],\n",
       "            [-8.2037e-03, -8.4822e-03, -8.5995e-03]],\n",
       "  \n",
       "           [[-3.3633e-05, -3.4604e-05, -3.6202e-05],\n",
       "            [-3.4842e-05, -3.6840e-05, -3.5638e-05],\n",
       "            [-3.6221e-05, -3.5976e-05, -3.6983e-05]],\n",
       "  \n",
       "           [[-3.9791e-03, -4.1388e-03, -4.1671e-03],\n",
       "            [-4.2112e-03, -4.3883e-03, -4.3471e-03],\n",
       "            [-4.3770e-03, -4.4675e-03, -4.4547e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.5676e-05, -1.9172e-05, -1.3931e-05],\n",
       "            [-2.8648e-05, -3.3861e-05, -2.7008e-05],\n",
       "            [-3.5422e-05, -3.2139e-05, -3.3831e-05]],\n",
       "  \n",
       "           [[-3.9331e-05, -3.9331e-05, -3.9311e-05],\n",
       "            [-3.9331e-05, -3.9331e-05, -3.9311e-05],\n",
       "            [-4.8973e-06, -4.8973e-06, -4.8973e-06]],\n",
       "  \n",
       "           [[-4.7075e-04, -4.9012e-04, -4.8585e-04],\n",
       "            [-4.7199e-04, -4.9197e-04, -4.8854e-04],\n",
       "            [-2.1096e-04, -2.2050e-04, -2.2130e-04]]],\n",
       "  \n",
       "  \n",
       "          ...,\n",
       "  \n",
       "  \n",
       "          [[[-1.3568e-02, -1.4171e-02, -1.4422e-02],\n",
       "            [-1.3602e-02, -1.4186e-02, -1.4438e-02],\n",
       "            [-1.2973e-02, -1.3512e-02, -1.3688e-02]],\n",
       "  \n",
       "           [[-5.1585e-05, -5.2947e-05, -4.6276e-05],\n",
       "            [-5.4780e-05, -5.2085e-05, -5.1445e-05],\n",
       "            [-5.0227e-05, -4.9081e-05, -5.0809e-05]],\n",
       "  \n",
       "           [[-6.6608e-03, -6.8401e-03, -6.7979e-03],\n",
       "            [-7.0286e-03, -7.2172e-03, -7.1879e-03],\n",
       "            [-7.0505e-03, -7.2527e-03, -7.2006e-03]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-2.2171e-05, -2.2171e-05, -1.9543e-05],\n",
       "            [-7.9213e-05, -7.9213e-05, -7.0677e-05],\n",
       "            [-7.6428e-05, -7.5553e-05, -6.9364e-05]],\n",
       "  \n",
       "           [[-5.5177e-05, -5.5177e-05, -5.5149e-05],\n",
       "            [-5.5177e-05, -5.5177e-05, -5.5149e-05],\n",
       "            [-6.8704e-06, -6.8704e-06, -6.8704e-06]],\n",
       "  \n",
       "           [[-6.4319e-04, -6.7182e-04, -6.8364e-04],\n",
       "            [-6.4518e-04, -6.7602e-04, -6.8634e-04],\n",
       "            [-2.9753e-04, -3.0942e-04, -3.1175e-04]]],\n",
       "  \n",
       "  \n",
       "          [[[ 1.0746e-03,  1.2319e-03,  1.3632e-03],\n",
       "            [ 1.0611e-03,  1.2202e-03,  1.4086e-03],\n",
       "            [ 1.0577e-03,  1.2259e-03,  1.3334e-03]],\n",
       "  \n",
       "           [[ 1.2284e-05,  1.1995e-05,  1.2650e-05],\n",
       "            [ 5.0687e-06,  5.9213e-06,  9.8289e-06],\n",
       "            [ 1.0548e-06,  3.4504e-06,  1.1654e-06]],\n",
       "  \n",
       "           [[ 5.3190e-04,  6.3326e-04,  6.7144e-04],\n",
       "            [ 5.7363e-04,  6.8170e-04,  7.1820e-04],\n",
       "            [ 6.1371e-04,  7.5273e-04,  7.7592e-04]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[ 3.2354e-06,  3.9552e-06,  7.1985e-07],\n",
       "            [ 3.2354e-06,  1.7217e-06,  3.1139e-06],\n",
       "            [ 7.3988e-06,  5.5115e-06,  8.0030e-06]],\n",
       "  \n",
       "           [[ 4.6863e-06,  1.7583e-05,  9.5420e-06],\n",
       "            [ 9.2182e-07,  3.2302e-07,  1.2520e-06],\n",
       "            [ 5.9879e-07,  9.7622e-07,  9.2182e-07]],\n",
       "  \n",
       "           [[ 7.5896e-05,  9.3167e-05,  9.9783e-05],\n",
       "            [ 4.3170e-05,  6.1414e-05,  7.2628e-05],\n",
       "            [ 3.3549e-05,  3.7849e-05,  3.3029e-05]]],\n",
       "  \n",
       "  \n",
       "          [[[-4.0315e-02, -4.1003e-02, -3.9654e-02],\n",
       "            [-3.4342e-02, -3.4172e-02, -3.3437e-02],\n",
       "            [-3.1266e-02, -3.0233e-02, -2.8468e-02]],\n",
       "  \n",
       "           [[-7.6918e-05, -1.1373e-04, -1.0109e-04],\n",
       "            [-8.4804e-05, -1.1929e-04, -1.1889e-04],\n",
       "            [-1.3528e-04, -1.2904e-04, -8.8876e-05]],\n",
       "  \n",
       "           [[-1.9309e-02, -1.8995e-02, -1.8277e-02],\n",
       "            [-2.0396e-02, -1.9476e-02, -1.8315e-02],\n",
       "            [-1.6926e-02, -1.5950e-02, -1.5778e-02]],\n",
       "  \n",
       "           ...,\n",
       "  \n",
       "           [[-1.5077e-04, -8.0483e-05, -6.9182e-05],\n",
       "            [-4.4064e-04, -4.2532e-04, -4.1204e-04],\n",
       "            [-1.4099e-04, -1.7370e-04, -2.0607e-04]],\n",
       "  \n",
       "           [[-5.7760e-05, -7.3194e-05, -1.0463e-05],\n",
       "            [-1.2215e-05, -7.9345e-06, -4.2803e-06],\n",
       "            [-1.2373e-05,  0.0000e+00,  0.0000e+00]],\n",
       "  \n",
       "           [[-1.0228e-03, -1.0765e-03, -1.0307e-03],\n",
       "            [-8.8871e-05, -1.5832e-04, -8.7381e-05],\n",
       "            [-3.1706e-05, -7.9666e-05, -4.1574e-05]]]], device='cuda:0'),\n",
       "  tensor([ 2.4366e-03,  8.3955e-03, -3.2594e-03, -6.1676e-02,  2.2885e-04,\n",
       "          -1.9100e-03,  3.3474e-02,  2.4932e-03,  1.6137e-03,  2.2357e-03,\n",
       "          -4.3806e-04,  4.0109e-04, -2.5130e-03, -1.6991e-02,  4.5343e-02,\n",
       "          -4.4486e-02,  7.4241e-04,  6.7602e-04,  3.1336e-03,  3.4508e-03,\n",
       "           1.6185e-04, -2.7869e-05,  2.2194e-02, -1.1399e-03,  1.0930e-02,\n",
       "           5.8738e-04,  1.0046e-02,  5.4867e-03, -2.5482e-02, -6.0542e-03,\n",
       "          -1.0932e-02,  3.4427e-02,  3.3855e-02, -1.8450e-03,  4.2156e-03,\n",
       "           4.1581e-02, -5.4350e-03,  5.8001e-04, -8.1645e-04, -1.3726e-02,\n",
       "          -4.4707e-02,  3.4365e-02,  7.6079e-03,  3.4618e-03, -1.3374e-03,\n",
       "          -9.6205e-03,  1.9172e-02, -1.0368e-03, -1.3000e-02,  7.6754e-02,\n",
       "          -3.3216e-02, -1.3596e-03, -8.0244e-03, -2.0029e-03, -1.5880e-03,\n",
       "           6.7894e-02, -4.8128e-04, -1.4720e-02,  5.3828e-02, -4.1687e-03,\n",
       "           6.1993e-04, -1.8160e-02,  2.8769e-03, -3.8967e-02, -7.4387e-03,\n",
       "           1.7222e-03,  2.2388e-02,  1.0611e-02, -1.4195e-04, -5.4723e-02,\n",
       "          -7.5689e-03,  1.0690e-04,  3.5584e-04,  1.5067e-03, -3.9464e-02,\n",
       "           3.3850e-04, -1.7662e-02,  1.1008e-02, -3.5399e-03,  1.4033e-05,\n",
       "           1.2399e-02, -6.7004e-02, -6.2166e-04, -7.5269e-02, -1.0162e-03,\n",
       "           1.8515e-04, -2.9681e-02, -2.0449e-02, -3.2667e-02,  0.0000e+00,\n",
       "           2.2354e-03, -7.6370e-03, -2.0535e-03,  1.4464e-02, -7.5307e-04,\n",
       "           2.2716e-02,  2.5539e-02, -3.3658e-04,  5.1508e-02, -2.1587e-03,\n",
       "          -6.2718e-03, -2.5478e-03,  4.7307e-02,  2.8292e-03, -6.1741e-06,\n",
       "           2.6792e-02, -3.4300e-02,  1.5637e-02, -3.3104e-02, -8.0348e-03,\n",
       "           4.5197e-02, -2.7864e-02,  1.0591e-04,  5.1877e-04, -1.4818e-03,\n",
       "           7.6068e-05, -6.0382e-04,  1.9456e-02, -5.4192e-02,  9.8886e-03,\n",
       "          -1.1679e-02,  1.9981e-03,  1.8219e-02, -8.0601e-02,  1.5863e-05,\n",
       "           1.1598e-02, -3.2558e-04,  4.2069e-03, -2.4781e-03,  8.8197e-03,\n",
       "           8.3807e-04,  7.1150e-03, -2.8688e-03,  3.2686e-07,  1.3282e-05,\n",
       "           4.7892e-05, -2.5559e-03, -3.7897e-03,  6.1211e-02, -8.4673e-03,\n",
       "          -8.8613e-04, -8.8230e-02, -9.0496e-04,  2.6818e-03,  1.3115e-05,\n",
       "          -2.7922e-03,  1.2634e-04,  2.3311e-02,  6.8614e-03, -4.2463e-02,\n",
       "          -9.8175e-05, -1.8823e-03, -2.5554e-02, -3.1385e-03, -2.9378e-04,\n",
       "          -4.6352e-06, -1.6369e-03,  2.6956e-03,  4.2283e-04,  7.7617e-04,\n",
       "           1.3087e-05, -5.2930e-03,  3.3405e-02, -2.3869e-03, -2.7078e-03,\n",
       "           5.9066e-04, -4.9060e-05,  1.4204e-04,  3.1358e-04, -4.6711e-03,\n",
       "           3.9544e-03,  6.2478e-03, -6.0923e-03,  1.1816e-02,  6.7610e-03,\n",
       "           4.0725e-02, -1.1298e-03,  3.2254e-03,  1.6615e-03,  7.7284e-03,\n",
       "          -2.3700e-02, -1.1266e-02,  4.4512e-03,  4.4884e-02,  8.2932e-04,\n",
       "           4.2047e-05, -7.6099e-03, -3.0805e-04,  2.2539e-02, -1.8712e-02,\n",
       "          -9.6707e-04, -3.8103e-05, -1.2168e-03, -3.2009e-06, -6.0151e-02,\n",
       "           1.9162e-02, -2.8603e-03,  1.1059e-04, -4.2213e-03, -2.0100e-03,\n",
       "          -4.8088e-03,  1.2720e-04, -1.3895e-03, -1.2519e-02, -1.4704e-02,\n",
       "           3.3175e-02,  6.1144e-03, -8.1017e-04, -1.5313e-04,  6.5910e-07,\n",
       "           1.4850e-03,  3.2198e-03, -4.9103e-03, -9.6880e-07, -4.6612e-03,\n",
       "          -1.6994e-03, -3.3037e-03, -9.9668e-04, -1.3329e-01,  7.8957e-05,\n",
       "          -2.1116e-04,  1.4497e-03, -1.3992e-02,  7.0321e-03,  1.7395e-02,\n",
       "          -4.7701e-02,  1.1502e-01,  1.1271e-03,  5.2750e-05,  1.7234e-02,\n",
       "          -6.8169e-03,  7.1104e-02,  7.0238e-04, -6.9986e-04,  9.2163e-04,\n",
       "          -1.8867e-03, -2.4285e-02, -2.6929e-03,  1.2140e-01, -2.5726e-02,\n",
       "          -1.3193e-03, -3.4600e-02,  2.4349e-02,  5.2312e-03, -4.2302e-03,\n",
       "          -3.3710e-04, -7.9507e-04,  1.8918e-02,  6.8801e-04, -1.2613e-02,\n",
       "          -9.6359e-03, -2.1980e-05,  1.2246e-03,  3.0716e-02, -5.7266e-03,\n",
       "          -6.4193e-05, -4.1795e-04, -1.4999e-03,  6.6693e-02, -4.8961e-03,\n",
       "           4.6130e-02,  7.9654e-03, -1.7642e-02,  3.5056e-05, -6.8326e-04,\n",
       "          -5.2746e-03,  1.6179e-03, -6.2758e-03, -1.4085e-02,  3.4439e-05,\n",
       "          -2.3201e-03,  7.5807e-05,  3.8102e-02,  5.5633e-03,  1.2778e-06,\n",
       "          -6.2361e-05,  2.5666e-02,  7.6189e-03, -1.2177e-02, -4.3158e-04,\n",
       "           5.4461e-05, -1.6899e-02, -6.1326e-03, -1.7013e-02, -2.6683e-03,\n",
       "          -3.6170e-02, -6.5333e-02, -1.3205e-02, -1.0795e-03, -3.9953e-02,\n",
       "          -1.5838e-03, -3.8640e-02,  1.0819e-04,  2.9762e-04,  1.2845e-05,\n",
       "          -5.9282e-04,  2.4929e-02, -8.6478e-03, -8.4060e-03,  6.4690e-02,\n",
       "          -1.5478e-02, -4.8178e-03,  5.4862e-05,  7.9533e-02,  1.4558e-02,\n",
       "           2.3513e-02,  1.8410e-02,  3.2779e-05,  2.1350e-04,  6.3956e-06,\n",
       "          -1.1436e-02, -1.2013e-04, -4.7098e-05,  1.9383e-03, -3.2316e-04,\n",
       "           1.6388e-03,  5.9151e-02, -2.9689e-02,  9.8016e-04,  2.4866e-03,\n",
       "          -4.3031e-02,  4.3813e-02, -4.8323e-04, -1.7894e-07,  1.6718e-03,\n",
       "           1.9968e-03, -9.0511e-03,  2.3799e-02, -4.1755e-02,  7.1022e-03,\n",
       "           6.3845e-02, -1.3773e-03,  4.7809e-04, -7.2003e-03,  1.1604e-03,\n",
       "          -4.8222e-05,  1.3429e-02,  2.1558e-03, -8.9196e-03,  3.5511e-03,\n",
       "          -1.2897e-02, -1.5259e-04,  3.6025e-04, -2.4305e-02, -2.5648e-02,\n",
       "           4.6821e-03,  2.8147e-03, -6.2356e-03,  2.5167e-06,  2.3768e-02,\n",
       "           9.0474e-03, -2.4872e-02, -1.3583e-01, -8.3452e-03,  9.6878e-04,\n",
       "           5.9362e-02,  3.9493e-02, -4.9519e-03, -3.3094e-04,  1.0133e-05,\n",
       "           6.3126e-02,  4.6671e-02,  7.2620e-03,  3.5207e-02, -2.6088e-03,\n",
       "          -1.0342e-03, -1.2037e-02,  2.3421e-03, -1.7114e-02,  1.2079e-04,\n",
       "           7.4084e-02,  4.7863e-03,  8.4065e-02,  1.4013e-02,  5.1147e-03,\n",
       "           4.7093e-03,  3.6354e-04, -1.2176e-05, -2.2768e-02, -4.6658e-02,\n",
       "          -5.6652e-05,  1.6940e-05,  4.1392e-03,  3.0114e-02, -4.9324e-04,\n",
       "           1.2349e-04, -1.3350e-02, -1.6963e-04, -3.1336e-02, -3.9908e-03,\n",
       "          -3.7678e-05,  1.7589e-04, -3.9907e-02,  3.3479e-03,  5.2562e-02,\n",
       "          -2.2722e-02,  1.9659e-02, -3.6174e-03, -3.3489e-03,  2.8490e-02,\n",
       "          -6.7064e-03,  3.8621e-05, -2.0755e-03,  2.7450e-03, -7.2306e-03,\n",
       "          -3.6662e-03, -2.8904e-03, -2.0784e-03,  2.0736e-04,  5.7413e-04,\n",
       "           4.0531e-04,  6.5420e-02,  3.2717e-03,  1.0717e-04, -9.2480e-06,\n",
       "           2.5834e-04,  4.1776e-02,  4.8578e-03,  2.9525e-03, -3.3606e-05,\n",
       "           2.9782e-02, -2.2264e-03,  3.3334e-04, -7.8186e-02,  1.3638e-02,\n",
       "           1.6580e-02, -3.4294e-02, -4.6453e-02, -2.7547e-02, -3.0704e-06,\n",
       "           2.0857e-03,  1.8342e-04,  5.6832e-03, -3.8889e-02,  1.5878e-02,\n",
       "           3.2723e-03,  7.2162e-03,  2.0697e-03,  3.4212e-04,  1.0715e-02,\n",
       "           2.5094e-02,  4.3411e-03,  2.1095e-03,  1.6734e-03,  4.0876e-02,\n",
       "          -4.3065e-03,  5.9797e-04,  3.4523e-04,  6.6965e-05,  7.4376e-03,\n",
       "          -1.1593e-02,  2.1386e-02, -1.3067e-02,  1.0462e-04,  3.6077e-02,\n",
       "          -3.7569e-02, -5.0257e-04,  5.1727e-05, -4.0973e-02,  3.4661e-03,\n",
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       "          -3.5696e-04,  5.4488e-02, -1.7532e-02, -7.8943e-04,  4.7806e-03,\n",
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       "          -6.2325e-04,  1.8091e-03], device='cuda:0'),\n",
       "  tensor([ 3.1603e-03,  1.8079e-02, -4.1313e-03, -3.4448e-02, -2.1857e-04,\n",
       "           7.4705e-03,  6.8020e-02,  7.8249e-03,  1.6654e-02, -4.4287e-03,\n",
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       "          -3.7916e-03, -1.1490e-02, -4.7163e-03, -2.0828e-02, -7.9489e-03,\n",
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       "          -8.7528e-06, -2.8833e-03,  1.5244e-02, -1.1070e-03, -6.4401e-03,\n",
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       "           8.3002e-03, -2.4380e-04,  3.9052e-04, -5.9795e-04, -1.5665e-02,\n",
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       "           2.3865e-02, -2.0439e-03,  7.2261e-03, -1.4005e-03,  1.6539e-02,\n",
       "           2.9562e-02,  1.4444e-02, -1.0075e-02, -2.3239e-02,  8.4731e-04,\n",
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       "           4.8099e-02,  1.0753e-02,  2.3427e-02,  1.6242e-02,  1.7507e-02,\n",
       "           1.0227e-02,  4.6601e-03,  3.0253e-04, -1.4445e-02, -2.2095e-02,\n",
       "          -6.6079e-05,  9.0409e-04, -4.5024e-02,  3.4596e-02, -1.6547e-03,\n",
       "           1.9070e-03,  3.0706e-02,  1.7847e-03, -1.5258e-02, -6.7120e-03,\n",
       "           1.3192e-03,  8.9665e-04, -1.9049e-02, -1.4797e-02,  3.9750e-02,\n",
       "          -1.8568e-02,  1.5203e-02, -8.2474e-03, -1.9467e-02,  1.8250e-02,\n",
       "          -9.4845e-03, -1.9035e-04, -2.8430e-03, -1.0155e-02,  5.5534e-03,\n",
       "          -2.4315e-02, -2.8375e-03,  1.5554e-02,  2.3136e-03,  1.2024e-03,\n",
       "           1.7310e-03,  4.4157e-02,  2.0467e-02, -1.3914e-03, -8.4398e-04,\n",
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       "           1.3052e-02,  1.9744e-02, -1.5251e-02, -4.7207e-02,  1.0770e-02,\n",
       "           3.1216e-02, -1.5407e-02, -2.3614e-02,  1.5192e-02,  3.7058e-05,\n",
       "           3.0195e-03, -2.9097e-03,  3.4995e-02, -4.0661e-02,  4.1703e-02,\n",
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       "          -4.7762e-02,  1.0911e-02,  2.0123e-03, -9.2562e-03,  3.1869e-02,\n",
       "          -4.1472e-03,  3.2529e-03,  1.0517e-03, -2.2685e-04, -1.0157e-02,\n",
       "          -2.0690e-02,  1.1143e-02, -3.2702e-02,  6.7439e-04,  3.2283e-02,\n",
       "          -2.5177e-02,  2.1079e-03, -2.8674e-04, -3.2966e-02, -9.6181e-03,\n",
       "          -8.0757e-03,  2.2931e-02,  1.6753e-02,  1.7048e-02, -8.4597e-03,\n",
       "           3.3496e-03, -2.4279e-02,  9.9687e-04,  9.0640e-04, -1.9510e-02,\n",
       "           2.5138e-02, -2.0563e-03, -2.4206e-03,  1.4931e-02,  2.4799e-02,\n",
       "          -3.4805e-03,  5.2349e-02, -2.7497e-02, -1.8079e-03, -9.9663e-03,\n",
       "           3.1546e-02,  2.0903e-03,  1.1524e-02, -2.6306e-04, -2.1464e-03,\n",
       "          -1.5066e-02,  4.7726e-02, -3.2582e-02,  3.5059e-02, -2.0636e-03,\n",
       "          -9.6946e-04,  8.7142e-04,  2.0886e-02,  3.0347e-02, -1.4540e-02,\n",
       "          -9.7546e-03,  3.3811e-05,  2.9734e-02,  4.4362e-02,  3.4854e-02,\n",
       "          -1.8057e-03,  6.2711e-03,  1.4299e-02, -2.4182e-02, -4.4561e-02,\n",
       "           2.6691e-02, -7.4987e-03, -4.6038e-03, -4.7377e-03, -6.8759e-03,\n",
       "           6.6190e-04, -1.7822e-02], device='cuda:0'),\n",
       "  tensor([[-0.6030, -0.3798, -0.6532,  ..., -0.9986, -0.0800, -0.1995],\n",
       "          [ 0.2581,  0.1626,  0.2796,  ...,  0.4274,  0.0342,  0.0854],\n",
       "          [ 0.0230,  0.0145,  0.0249,  ...,  0.0381,  0.0031,  0.0076],\n",
       "          [ 0.1704,  0.1073,  0.1846,  ...,  0.2822,  0.0226,  0.0564],\n",
       "          [ 0.0277,  0.0175,  0.0300,  ...,  0.0459,  0.0037,  0.0092],\n",
       "          [ 0.1237,  0.0779,  0.1340,  ...,  0.2048,  0.0164,  0.0409]],\n",
       "         device='cuda:0'),\n",
       "  tensor([-0.9353,  0.4003,  0.0357,  0.2644,  0.0430,  0.1918], device='cuda:0')),\n",
       " 'buffers': None,\n",
       " 'metadata': {'num_data_points': 1, 'labels': None, 'local_hyperparams': None}}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shared_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f40202d5-3773-4cc1-bc3e-01ca1e12609d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user.plot(true_user_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1c6f2b11-dc37-4a91-b82c-d894a74db7f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recovered labels [0] through strategy bias-corrected.\n",
      "| It: 1 | Rec. loss: 0.5905 |  Task loss: 1.4329 | T: 0.72s\n",
      "| It: 51 | Rec. loss: 0.0917 |  Task loss: 1.5581 | T: 16.25s\n",
      "| It: 101 | Rec. loss: 0.0510 |  Task loss: 1.5192 | T: 5.12s\n",
      "| It: 151 | Rec. loss: 0.0414 |  Task loss: 1.4879 | T: 5.13s\n",
      "| It: 201 | Rec. loss: 0.0371 |  Task loss: 1.4796 | T: 5.13s\n",
      "| It: 251 | Rec. loss: 0.0344 |  Task loss: 1.4728 | T: 5.13s\n",
      "| It: 301 | Rec. loss: 0.0330 |  Task loss: 1.4771 | T: 5.15s\n",
      "| It: 351 | Rec. loss: 0.0308 |  Task loss: 1.4880 | T: 5.15s\n",
      "| It: 401 | Rec. loss: 0.0310 |  Task loss: 1.5038 | T: 5.15s\n",
      "| It: 451 | Rec. loss: 0.0303 |  Task loss: 1.5062 | T: 5.16s\n",
      "| It: 501 | Rec. loss: 0.0255 |  Task loss: 1.4881 | T: 5.15s\n",
      "| It: 551 | Rec. loss: 0.0241 |  Task loss: 1.4773 | T: 5.15s\n",
      "| It: 601 | Rec. loss: 0.0244 |  Task loss: 1.4677 | T: 5.15s\n",
      "| It: 651 | Rec. loss: 0.0263 |  Task loss: 1.4679 | T: 5.15s\n",
      "| It: 701 | Rec. loss: 0.0271 |  Task loss: 1.4712 | T: 5.15s\n",
      "| It: 751 | Rec. loss: 0.0281 |  Task loss: 1.4731 | T: 5.15s\n",
      "| It: 801 | Rec. loss: 0.0260 |  Task loss: 1.4744 | T: 5.15s\n",
      "| It: 851 | Rec. loss: 0.0248 |  Task loss: 1.4764 | T: 5.16s\n",
      "| It: 901 | Rec. loss: 0.0248 |  Task loss: 1.4740 | T: 5.17s\n",
      "| It: 951 | Rec. loss: 0.0248 |  Task loss: 1.4610 | T: 5.15s\n",
      "| It: 1001 | Rec. loss: 0.0259 |  Task loss: 1.4437 | T: 5.15s\n",
      "| It: 1051 | Rec. loss: 0.0291 |  Task loss: 1.4478 | T: 5.16s\n",
      "| It: 1101 | Rec. loss: 0.0313 |  Task loss: 1.4619 | T: 5.16s\n",
      "| It: 1151 | Rec. loss: 0.0319 |  Task loss: 1.4719 | T: 5.16s\n",
      "| It: 1201 | Rec. loss: 0.0314 |  Task loss: 1.4812 | T: 5.16s\n",
      "| It: 1251 | Rec. loss: 0.0302 |  Task loss: 1.4969 | T: 5.17s\n",
      "| It: 1301 | Rec. loss: 0.0302 |  Task loss: 1.5162 | T: 5.19s\n",
      "| It: 1351 | Rec. loss: 0.0315 |  Task loss: 1.5331 | T: 5.16s\n",
      "| It: 1401 | Rec. loss: 0.0329 |  Task loss: 1.5407 | T: 5.17s\n",
      "| It: 1451 | Rec. loss: 0.0322 |  Task loss: 1.5346 | T: 5.16s\n",
      "| It: 1501 | Rec. loss: 0.0311 |  Task loss: 1.5204 | T: 5.18s\n",
      "| It: 1551 | Rec. loss: 0.0301 |  Task loss: 1.5161 | T: 5.17s\n",
      "| It: 1601 | Rec. loss: 0.0292 |  Task loss: 1.5192 | T: 5.17s\n",
      "| It: 1651 | Rec. loss: 0.0295 |  Task loss: 1.5254 | T: 5.17s\n",
      "| It: 1701 | Rec. loss: 0.0298 |  Task loss: 1.5169 | T: 5.18s\n",
      "| It: 1751 | Rec. loss: 0.0295 |  Task loss: 1.4897 | T: 5.19s\n",
      "| It: 1801 | Rec. loss: 0.0325 |  Task loss: 1.4878 | T: 5.17s\n",
      "| It: 1851 | Rec. loss: 0.0355 |  Task loss: 1.4948 | T: 5.18s\n",
      "| It: 1901 | Rec. loss: 0.0297 |  Task loss: 1.4909 | T: 5.20s\n",
      "| It: 1951 | Rec. loss: 0.0286 |  Task loss: 1.4893 | T: 5.18s\n",
      "| It: 2001 | Rec. loss: 0.0275 |  Task loss: 1.4856 | T: 5.18s\n",
      "| It: 2051 | Rec. loss: 0.0266 |  Task loss: 1.4806 | T: 5.17s\n",
      "| It: 2101 | Rec. loss: 0.0254 |  Task loss: 1.4774 | T: 5.17s\n",
      "| It: 2151 | Rec. loss: 0.0240 |  Task loss: 1.4782 | T: 5.18s\n",
      "| It: 2201 | Rec. loss: 0.0226 |  Task loss: 1.4789 | T: 5.17s\n",
      "| It: 2251 | Rec. loss: 0.0211 |  Task loss: 1.4795 | T: 5.22s\n",
      "| It: 2301 | Rec. loss: 0.0198 |  Task loss: 1.4808 | T: 5.18s\n",
      "| It: 2351 | Rec. loss: 0.0186 |  Task loss: 1.4817 | T: 5.17s\n",
      "| It: 2401 | Rec. loss: 0.0181 |  Task loss: 1.4832 | T: 5.17s\n",
      "| It: 2451 | Rec. loss: 0.0178 |  Task loss: 1.4846 | T: 5.19s\n",
      "| It: 2501 | Rec. loss: 0.0175 |  Task loss: 1.4870 | T: 5.24s\n",
      "| It: 2551 | Rec. loss: 0.0173 |  Task loss: 1.4888 | T: 5.18s\n",
      "| It: 2601 | Rec. loss: 0.0172 |  Task loss: 1.4900 | T: 5.19s\n",
      "| It: 2651 | Rec. loss: 0.0170 |  Task loss: 1.4896 | T: 5.17s\n",
      "| It: 2701 | Rec. loss: 0.0170 |  Task loss: 1.4866 | T: 5.17s\n",
      "| It: 2751 | Rec. loss: 0.0169 |  Task loss: 1.4801 | T: 5.17s\n",
      "| It: 2801 | Rec. loss: 0.0164 |  Task loss: 1.4720 | T: 5.17s\n",
      "| It: 2851 | Rec. loss: 0.0160 |  Task loss: 1.4629 | T: 5.18s\n",
      "| It: 2901 | Rec. loss: 0.0160 |  Task loss: 1.4538 | T: 5.17s\n",
      "| It: 2951 | Rec. loss: 0.0160 |  Task loss: 1.4442 | T: 5.18s\n",
      "| It: 3001 | Rec. loss: 0.0159 |  Task loss: 1.4368 | T: 5.18s\n",
      "| It: 3051 | Rec. loss: 0.0158 |  Task loss: 1.4312 | T: 5.17s\n",
      "| It: 3101 | Rec. loss: 0.0157 |  Task loss: 1.4273 | T: 5.18s\n",
      "| It: 3151 | Rec. loss: 0.0151 |  Task loss: 1.4270 | T: 5.17s\n",
      "| It: 3201 | Rec. loss: 0.0150 |  Task loss: 1.4266 | T: 5.17s\n",
      "| It: 3251 | Rec. loss: 0.0150 |  Task loss: 1.4264 | T: 5.17s\n",
      "| It: 3301 | Rec. loss: 0.0149 |  Task loss: 1.4262 | T: 5.17s\n",
      "| It: 3351 | Rec. loss: 0.0148 |  Task loss: 1.4261 | T: 5.17s\n",
      "| It: 3401 | Rec. loss: 0.0148 |  Task loss: 1.4260 | T: 5.18s\n",
      "| It: 3451 | Rec. loss: 0.0148 |  Task loss: 1.4260 | T: 5.18s\n",
      "| It: 3501 | Rec. loss: 0.0147 |  Task loss: 1.4259 | T: 5.18s\n",
      "| It: 3551 | Rec. loss: 0.0147 |  Task loss: 1.4257 | T: 5.18s\n",
      "| It: 3601 | Rec. loss: 0.0147 |  Task loss: 1.4258 | T: 5.17s\n",
      "| It: 3651 | Rec. loss: 0.0147 |  Task loss: 1.4256 | T: 5.17s\n",
      "| It: 3701 | Rec. loss: 0.0146 |  Task loss: 1.4258 | T: 5.17s\n",
      "| It: 3751 | Rec. loss: 0.0147 |  Task loss: 1.4258 | T: 5.18s\n",
      "| It: 3801 | Rec. loss: 0.0146 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 3851 | Rec. loss: 0.0146 |  Task loss: 1.4256 | T: 5.18s\n",
      "| It: 3901 | Rec. loss: 0.0145 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 3951 | Rec. loss: 0.0145 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4001 | Rec. loss: 0.0145 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4051 | Rec. loss: 0.0144 |  Task loss: 1.4254 | T: 5.18s\n",
      "| It: 4101 | Rec. loss: 0.0144 |  Task loss: 1.4256 | T: 5.18s\n",
      "| It: 4151 | Rec. loss: 0.0143 |  Task loss: 1.4257 | T: 5.18s\n",
      "| It: 4201 | Rec. loss: 0.0143 |  Task loss: 1.4257 | T: 5.18s\n",
      "| It: 4251 | Rec. loss: 0.0143 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4301 | Rec. loss: 0.0143 |  Task loss: 1.4254 | T: 5.18s\n",
      "| It: 4351 | Rec. loss: 0.0142 |  Task loss: 1.4254 | T: 5.18s\n",
      "| It: 4401 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4451 | Rec. loss: 0.0141 |  Task loss: 1.4254 | T: 5.18s\n",
      "| It: 4501 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.19s\n",
      "| It: 4551 | Rec. loss: 0.0141 |  Task loss: 1.4257 | T: 5.18s\n",
      "| It: 4601 | Rec. loss: 0.0141 |  Task loss: 1.4257 | T: 5.18s\n",
      "| It: 4651 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4701 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4751 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4801 | Rec. loss: 0.0141 |  Task loss: 1.4254 | T: 5.18s\n",
      "| It: 4851 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4901 | Rec. loss: 0.0141 |  Task loss: 1.4255 | T: 5.18s\n",
      "| It: 4951 | Rec. loss: 0.0141 |  Task loss: 1.4256 | T: 5.19s\n",
      "| It: 5000 | Rec. loss: 0.0140 |  Task loss: 1.4255 | T: 5.07s\n",
      "Optimal candidate solution with rec. loss 0.0052 selected.\n"
     ]
    }
   ],
   "source": [
    "reconstructed_user_data, stats = attacker.reconstruct([server_payload], [shared_data], {}, dryrun=cfg.dryrun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0028f725-9ba2-4f69-9cd2-d002aa01df40",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfg.attack.optim.callback = 50\n",
    "cfg.attack.optim.max_iterations = 5000\n",
    "cfg.attack.restarts.num_trials = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "07ce4568-ce7b-4c75-9370-84ffb56f8ef6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging, sys\n",
    "logging.basicConfig(level=logging.INFO, handlers=[logging.StreamHandler(sys.stdout)], format='%(message)s')\n",
    "logger = logging.getLogger()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "dfff6ede-e6c7-40bc-947a-c30f4e466b43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user.plot(reconstructed_user_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e752e90-e7fe-43f9-8c70-dd8ea3da8756",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}