EvenMore-pytorch-models-OSMR-lognorm.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Even More pretrained models in PyTorch from OSMR\n",
    "\n",
    "### Compute and plot average Log Frobenius Norms\n",
    "\n",
    "$$\\langle\\log_{10}\\Vert\\mathbf{W}\\Vert^{2}_{F}\\rangle$$\n",
    "\n",
    "\n",
    "\n",
    "https://github.com/osmr/imgclsmob\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:07:27.516429Z",
     "start_time": "2018-10-15T23:07:22.449981Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision.models as models\n",
    "import torchvision.transforms as transforms\n",
    "import torch.nn as nn\n",
    "\n",
    "import re\n",
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "import powerlaw\n",
    "\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:07:39.093486Z",
     "start_time": "2018-10-15T23:07:39.077014Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [10,10]\n",
    "matplotlib.rcParams.update({'font.size': 24})\n",
    "marker_size = 75"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:08:56.821400Z",
     "start_time": "2018-10-15T23:08:56.801810Z"
    }
   },
   "outputs": [],
   "source": [
    "import pytorchcv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:09:11.756212Z",
     "start_time": "2018-10-15T23:09:02.106460Z"
    }
   },
   "outputs": [],
   "source": [
    "from pytorchcv.model_provider import get_model as ptcv_get_model\n",
    "import torch\n",
    "from torch.autograd import Variable\n",
    "\n",
    "net = ptcv_get_model(\"resnet18\", pretrained=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:11:28.315021Z",
     "start_time": "2018-10-15T23:11:28.293029Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method Module.modules of ResNet(\n",
       "  (features): Sequential(\n",
       "    (init_block): ResInitBlock(\n",
       "      (conv): ResConv(\n",
       "        (conv): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
       "        (bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "      (pool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
       "    )\n",
       "    (stage1): Sequential(\n",
       "      (unit1): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "      (unit2): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "    )\n",
       "    (stage2): Sequential(\n",
       "      (unit1): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (identity_conv): ResConv(\n",
       "          (conv): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "          (bn): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "      (unit2): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "    )\n",
       "    (stage3): Sequential(\n",
       "      (unit1): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (identity_conv): ResConv(\n",
       "          (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "          (bn): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "      (unit2): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "    )\n",
       "    (stage4): Sequential(\n",
       "      (unit1): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (identity_conv): ResConv(\n",
       "          (conv): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "          (bn): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "      (unit2): ResUnit(\n",
       "        (body): ResBlock(\n",
       "          (conv1): ResConv(\n",
       "            (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "            (activ): ReLU(inplace)\n",
       "          )\n",
       "          (conv2): ResConv(\n",
       "            (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "            (bn): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "          )\n",
       "        )\n",
       "        (activ): ReLU(inplace)\n",
       "      )\n",
       "    )\n",
       "    (final_pool): AvgPool2d(kernel_size=7, stride=1, padding=0)\n",
       "  )\n",
       "  (output): Linear(in_features=512, out_features=1000, bias=True)\n",
       ")>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net.modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:59:58.621449Z",
     "start_time": "2018-10-15T23:59:58.603150Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pytorchcv.models.resnet.ResNet"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(net)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-16T00:09:35.638512Z",
     "start_time": "2018-10-16T00:09:33.907000Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object Module.modules at 0x122a798e0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = models.resnet18(True)\n",
    "model.modules()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_conv2D_Wmats(Wtensor):\n",
    "    \"\"\"Extract W slices from a 4 index conv2D tensor of shape: (N,M,i,j) or (M,N,i,j).  Return ij (N x M) matrices\"\"\"\n",
    "    Wmats = []\n",
    "    s = Wtensor.shape\n",
    "    N, M, imax, jmax = s[0],s[1],s[2],s[3]\n",
    "    #print(\"tensor shape\", N,M,imax,jmax)\n",
    "    for i in range(imax):\n",
    "        for j in range(jmax):\n",
    "            W = Wtensor[:,:,i,j]\n",
    "            if N < M:\n",
    "                W = W.T\n",
    "            Wmats.append(W)\n",
    "    return Wmats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:45:10.955212Z",
     "start_time": "2018-10-15T23:45:10.821512Z"
    }
   },
   "outputs": [],
   "source": [
    "MIN_DIM = 10\n",
    "\n",
    "def iter_pytorch_layers(model, min_dim=MIN_DIM):\n",
    "    \"\"\"Iterate over a pytorch layers and  weight matrix.  \n",
    "    Supports linear, conv2d, and conv2d-slices\"\"\"\n",
    "    \n",
    "    nlayers = 0\n",
    "    for im, m in enumerate(model.modules()):\n",
    "        #print(\"######## {}\".format(im))\n",
    "        #print(m)\n",
    "        if isinstance(m, nn.Linear):\n",
    "            nlayers += 1\n",
    "            #$print(\"  ===> Linear\")\n",
    "            W = np.array(m.weight.data.clone().cpu())\n",
    "            if W is not None:\n",
    "                yield W\n",
    "        elif isinstance(m, nn.Conv2d):\n",
    "            nlayers += 1\n",
    "            #$print(\"  ===> Conv2D\")\n",
    "            Wtensor = np.array(m.weight.data.clone().cpu())\n",
    "            Wmats = get_conv2D_Wmats(Wtensor)\n",
    "            for W in Wmats:\n",
    "                if (np.min(W.shape) >= min_dim):\n",
    "                    yield W\n",
    "                    \n",
    "    print(\"nlayers {}\".format(nlayers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-15T23:12:51.434077Z",
     "start_time": "2018-10-15T23:12:51.417183Z"
    }
   },
   "outputs": [],
   "source": [
    "def num_layers(net):\n",
    "    cnt = 0\n",
    "    for W in iter_pytorch_layers(net):\n",
    "        cnt+=1\n",
    "    return cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../imgclsmob/osmr_modelnames\r\n"
     ]
    }
   ],
   "source": [
    "!ls  ../imgclsmob/osmr_modelnames "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "osmr = pd.read_csv(\"osmr_modelnames\", delimiter=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fixname(modelname):\n",
    "    fixedname = modelname\n",
    "    # condensenet\n",
    "    fixedname = fixedname.replace(' (C=G=4)','_c4_g4')\n",
    "    fixedname = fixedname.replace(' (C=G=8)','_c8_g8')\n",
    "    # resnet , mobilenetv2, shuffleney\n",
    "    fixedname = fixedname.replace(' x0.25','_wd4')\n",
    "    fixedname = fixedname.replace(' x0.5','_wd2')\n",
    "    fixedname = fixedname.replace(' x0.75','_w3d4')\n",
    "    fixedname = fixedname.replace(' x1.0','_w1')\n",
    "    fixedname = fixedname.replace(' x1.5','_w3d2')\n",
    "\n",
    "    \n",
    "    # menet TODO: FIX\n",
    "    fixedname = fixedname.replace(' (g=','_g')\n",
    "    # darkent\n",
    "    fixedname = fixedname.replace(' Ref','_ref')\n",
    "    fixedname = fixedname.replace(' Tiny','_tiny')\n",
    "    # squeezenet\n",
    "    fixedname = fixedname.replace(' v1.','_v1_')\n",
    "    fixedname = fixedname.replace(' V1.','_v1_')\n",
    "    fixedname = fixedname.replace(' V2.','_v2_')\n",
    "\n",
    "\n",
    "    fixedname = fixedname.replace('-','').replace(' ','')\n",
    "    fixedname = fixedname.replace('(','_').replace(')','')\n",
    "    fixedname = fixedname.lower()\n",
    "\n",
    "    if 'menet' in fixedname:\n",
    "        fixedname = \"menet\"+(fixedname.replace('menet','_'))\n",
    "    \n",
    "    return fixedname"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ResNet-10 -->   resnet10\n",
      "nlayers 13\n",
      "76\n",
      "ResNet-12 -->   resnet12\n",
      "nlayers 15\n",
      "94\n",
      "ResNet-14 -->   resnet14\n",
      "nlayers 17\n",
      "112\n",
      "ResNet-16 -->   resnet16\n",
      "nlayers 19\n",
      "130\n",
      "ResNet-18 x0.25 -->   resnet18_wd4\n",
      "nlayers 21\n",
      "148\n",
      "ResNet-18 x0.5 -->   resnet18_wd2\n",
      "nlayers 21\n",
      "148\n",
      "ResNet-18 x0.75 -->   resnet18_w3d4\n",
      "nlayers 21\n",
      "148\n",
      "ResNet-18 -->   resnet18\n",
      "nlayers 21\n",
      "148\n",
      "ResNet-34 -->   resnet34\n",
      "nlayers 37\n",
      "292\n",
      "ResNet-50 -->   resnet50\n",
      "nlayers 54\n",
      "181\n",
      "ResNet-50b -->   resnet50b\n",
      "nlayers 54\n",
      "181\n",
      "ResNet-101 -->   resnet101\n",
      "nlayers 105\n",
      "368\n",
      "ResNet-101b -->   resnet101b\n",
      "nlayers 105\n",
      "368\n",
      "ResNet-152 -->   resnet152\n",
      "nlayers 156\n",
      "555\n",
      "ResNet-152b -->   resnet152b\n",
      "nlayers 156\n",
      "555\n",
      "PreResNet-18 -->   preresnet18\n",
      "nlayers 21\n",
      "148\n",
      "PreResNet-34 -->   preresnet34\n",
      "nlayers 37\n",
      "292\n",
      "PreResNet-50 -->   preresnet50\n",
      "nlayers 54\n",
      "181\n",
      "PreResNet-50b -->   preresnet50b\n",
      "nlayers 54\n",
      "181\n",
      "PreResNet-101 -->   preresnet101\n",
      "nlayers 105\n",
      "368\n",
      "PreResNet-101b -->   preresnet101b\n",
      "nlayers 105\n",
      "368\n",
      "PreResNet-152 -->   preresnet152\n",
      "nlayers 156\n",
      "555\n",
      "PreResNet-152b -->   preresnet152b\n",
      "nlayers 156\n",
      "555\n",
      "PreResNet-200b -->   preresnet200b\n",
      "nlayers 204\n",
      "731\n",
      "ResNeXt-101 (32x4d) -->   resnext101_32x4d\n",
      "nlayers 105\n",
      "305\n",
      "ResNeXt-101 (64x4d) -->   resnext101_64x4d\n",
      "nlayers 105\n",
      "305\n",
      "SE-ResNet-50 -->   seresnet50\n",
      "nlayers 86\n",
      "213\n",
      "SE-ResNet-101 -->   seresnet101\n",
      "nlayers 171\n",
      "434\n",
      "SE-ResNet-152 -->   seresnet152\n",
      "nlayers 256\n",
      "655\n",
      "SE-ResNeXt-50 (32x4d) -->   seresnext50_32x4d\n",
      "nlayers 86\n",
      "150\n",
      "SE-ResNeXt-101 (32x4d) -->   seresnext101_32x4d\n",
      "nlayers 171\n",
      "371\n",
      "SENet-154 -->   senet154\n",
      "nlayers 258\n",
      "274\n",
      "DenseNet-121 -->   densenet121\n",
      "nlayers 121\n",
      "584\n",
      "DenseNet-161 -->   densenet161\n",
      "nlayers 161\n",
      "784\n",
      "DenseNet-169 -->   densenet169\n",
      "nlayers 169\n",
      "824\n",
      "DenseNet-201 -->   densenet201\n",
      "nlayers 201\n",
      "984\n",
      "CondenseNet-74 (C=G=4) -->   condensenet74_c4_g4\n",
      "nlayers 74\n",
      "322\n",
      "CondenseNet-74 (C=G=8) -->   condensenet74_c8_g8\n",
      "nlayers 74\n",
      "265\n",
      "DPN-68 -->   dpn68\n",
      "nlayers 72\n",
      "184\n",
      "DPN-98 -->   dpn98\n",
      "nlayers 102\n",
      "276\n",
      "DPN-131 -->   dpn131\n",
      "nlayers 135\n",
      "370\n",
      "DarkNet Tiny -->   darknet_tiny\n",
      "nlayers 16\n",
      "71\n",
      "DarkNet Ref -->   darknet_ref\n",
      "Pretrained model for darknet_ref is not available.\n",
      "SqueezeNet v1.0 -->   squeezenet_v1_0\n",
      "nlayers 26\n",
      "89\n",
      "SqueezeNet v1.1 -->   squeezenet_v1_1\n",
      "nlayers 26\n",
      "89\n",
      "ShuffleNetV2 x0.5 -->   shufflenetv2_wd2\n",
      "nlayers 57\n",
      "37\n",
      "ShuffleNetV2 x1.0 -->   shufflenetv2_w1\n",
      "nlayers 57\n",
      "37\n",
      "ShuffleNetV2 x1.5 -->   shufflenetv2_w3d2\n",
      "Pretrained model for shufflenetv2_w3d2 is not available.\n",
      "108-MENet-8x1 (g=3) -->   menet108_8x1_g3\n",
      "nlayers 98\n",
      "29\n",
      "128-MENet-8x1 (g=4) -->   menet128_8x1_g4\n",
      "nlayers 98\n",
      "29\n",
      "228-MENet-12x1 (g=3) -->   menet228_12x1_g3\n",
      "nlayers 98\n",
      "209\n",
      "256-MENet-12x1 (g=4) -->   menet256_12x1_g4\n",
      "nlayers 98\n",
      "209\n",
      "348-MENet-12x1 (g=3) -->   menet348_12x1_g3\n",
      "nlayers 98\n",
      "209\n",
      "352-MENet-12x1 (g=8) -->   menet352_12x1_g8\n",
      "nlayers 98\n",
      "209\n",
      "456-MENet-24x1 (g=3) -->   menet456_24x1_g3\n",
      "nlayers 98\n",
      "209\n",
      "MobileNet x0.25 -->   mobilenet_wd4\n",
      "nlayers 28\n",
      "13\n",
      "MobileNet x0.5 -->   mobilenet_wd2\n",
      "nlayers 28\n",
      "14\n",
      "MobileNet x0.75 -->   mobilenet_w3d4\n",
      "nlayers 28\n",
      "14\n",
      "MobileNet x1.0 -->   mobilenet_w1\n",
      "nlayers 28\n",
      "14\n",
      "FD-MobileNet x0.25 -->   fdmobilenet_wd4\n",
      "nlayers 24\n",
      "11\n",
      "FD-MobileNet x0.5 -->   fdmobilenet_wd2\n",
      "nlayers 24\n",
      "12\n",
      "FD-MobileNet x1.0 -->   fdmobilenet_w1\n",
      "nlayers 24\n",
      "12\n",
      "MobileNetV2 x0.25 -->   mobilenetv2_wd4\n",
      "nlayers 54\n",
      "23\n",
      "MobileNetV2 x0.5 -->   mobilenetv2_wd2\n",
      "nlayers 54\n",
      "34\n",
      "MobileNetV2 x0.75 -->   mobilenetv2_w3d4\n",
      "nlayers 54\n",
      "36\n",
      "MobileNetV2 x1.0 -->   mobilenetv2_w1\n",
      "nlayers 54\n",
      "36\n",
      "SNet-A-Mobile -->   snetamobile\n",
      "Unsupported model: snetamobile\n"
     ]
    }
   ],
   "source": [
    "unsupported = []\n",
    "for modelname in osmr['model'].values:\n",
    "    \n",
    "    fixedname = fixname(modelname)\n",
    "    print(modelname, \"-->  \", fixedname)\n",
    "    try:\n",
    "        net = ptcv_get_model(fixedname, pretrained=True)\n",
    "        print(num_layers(net))\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        unsupported.append(fixedname)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['darknet_ref', 'shufflenetv2_w3d2', 'snetamobile']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unsupported"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "osmr['fixedname'] = osmr['model'].apply(lambda x: fixname(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>top1</th>\n",
       "      <th>top5</th>\n",
       "      <th>params</th>\n",
       "      <th>flops</th>\n",
       "      <th>fixedname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ResNet-10</td>\n",
       "      <td>37.46</td>\n",
       "      <td>15.85</td>\n",
       "      <td>5,418,792</td>\n",
       "      <td>892.62M</td>\n",
       "      <td>resnet10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ResNet-12</td>\n",
       "      <td>36.18</td>\n",
       "      <td>14.80</td>\n",
       "      <td>5,492,776</td>\n",
       "      <td>1,124.23M</td>\n",
       "      <td>resnet12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ResNet-14</td>\n",
       "      <td>33.17</td>\n",
       "      <td>12.71</td>\n",
       "      <td>5,788,200</td>\n",
       "      <td>1,355.64M</td>\n",
       "      <td>resnet14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ResNet-16</td>\n",
       "      <td>30.90</td>\n",
       "      <td>11.38</td>\n",
       "      <td>6,968,872</td>\n",
       "      <td>1,586.95M</td>\n",
       "      <td>resnet16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ResNet-18 x0.25</td>\n",
       "      <td>49.50</td>\n",
       "      <td>24.83</td>\n",
       "      <td>831,096</td>\n",
       "      <td>136.64M</td>\n",
       "      <td>resnet18_wd4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ResNet-18 x0.5</td>\n",
       "      <td>37.04</td>\n",
       "      <td>15.38</td>\n",
       "      <td>3,055,880</td>\n",
       "      <td>485.22M</td>\n",
       "      <td>resnet18_wd2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ResNet-18 x0.75</td>\n",
       "      <td>33.61</td>\n",
       "      <td>12.85</td>\n",
       "      <td>6,675,352</td>\n",
       "      <td>1,045.75M</td>\n",
       "      <td>resnet18_w3d4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ResNet-18</td>\n",
       "      <td>29.52</td>\n",
       "      <td>10.21</td>\n",
       "      <td>11,689,512</td>\n",
       "      <td>1,818.21M</td>\n",
       "      <td>resnet18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ResNet-34</td>\n",
       "      <td>25.66</td>\n",
       "      <td>8.18</td>\n",
       "      <td>21,797,672</td>\n",
       "      <td>3,669.16M</td>\n",
       "      <td>resnet34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ResNet-50</td>\n",
       "      <td>23.79</td>\n",
       "      <td>7.05</td>\n",
       "      <td>25,557,032</td>\n",
       "      <td>3,868.96M</td>\n",
       "      <td>resnet50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ResNet-50b</td>\n",
       "      <td>23.05</td>\n",
       "      <td>6.65</td>\n",
       "      <td>25,557,032</td>\n",
       "      <td>4,100.70M</td>\n",
       "      <td>resnet50b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ResNet-101</td>\n",
       "      <td>21.90</td>\n",
       "      <td>6.22</td>\n",
       "      <td>44,549,160</td>\n",
       "      <td>7,586.30M</td>\n",
       "      <td>resnet101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ResNet-101b</td>\n",
       "      <td>21.45</td>\n",
       "      <td>5.81</td>\n",
       "      <td>44,549,160</td>\n",
       "      <td>7,818.04M</td>\n",
       "      <td>resnet101b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ResNet-152</td>\n",
       "      <td>21.26</td>\n",
       "      <td>5.82</td>\n",
       "      <td>60,192,808</td>\n",
       "      <td>11,304.85M</td>\n",
       "      <td>resnet152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ResNet-152b</td>\n",
       "      <td>20.74</td>\n",
       "      <td>5.50</td>\n",
       "      <td>60,192,808</td>\n",
       "      <td>11,536.58M</td>\n",
       "      <td>resnet152b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>PreResNet-18</td>\n",
       "      <td>29.09</td>\n",
       "      <td>10.18</td>\n",
       "      <td>11,687,848</td>\n",
       "      <td>1,818.41M</td>\n",
       "      <td>preresnet18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>PreResNet-34</td>\n",
       "      <td>26.23</td>\n",
       "      <td>8.41</td>\n",
       "      <td>21,796,008</td>\n",
       "      <td>3,669.36M</td>\n",
       "      <td>preresnet34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>PreResNet-50</td>\n",
       "      <td>23.70</td>\n",
       "      <td>6.85</td>\n",
       "      <td>25,549,480</td>\n",
       "      <td>3,869.16M</td>\n",
       "      <td>preresnet50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>PreResNet-50b</td>\n",
       "      <td>23.33</td>\n",
       "      <td>6.87</td>\n",
       "      <td>25,549,480</td>\n",
       "      <td>4,100.90M</td>\n",
       "      <td>preresnet50b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PreResNet-101</td>\n",
       "      <td>21.74</td>\n",
       "      <td>5.91</td>\n",
       "      <td>44,541,608</td>\n",
       "      <td>7,586.50M</td>\n",
       "      <td>preresnet101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>PreResNet-101b</td>\n",
       "      <td>21.95</td>\n",
       "      <td>6.03</td>\n",
       "      <td>44,541,608</td>\n",
       "      <td>7,818.24M</td>\n",
       "      <td>preresnet101b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>PreResNet-152</td>\n",
       "      <td>20.94</td>\n",
       "      <td>5.55</td>\n",
       "      <td>60,185,256</td>\n",
       "      <td>11,305.05M</td>\n",
       "      <td>preresnet152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>PreResNet-152b</td>\n",
       "      <td>21.34</td>\n",
       "      <td>5.91</td>\n",
       "      <td>60,185,256</td>\n",
       "      <td>11,536.78M</td>\n",
       "      <td>preresnet152b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>PreResNet-200b</td>\n",
       "      <td>21.33</td>\n",
       "      <td>5.88</td>\n",
       "      <td>64,666,280</td>\n",
       "      <td>15,040.27M</td>\n",
       "      <td>preresnet200b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ResNeXt-101 (32x4d)</td>\n",
       "      <td>21.81</td>\n",
       "      <td>6.11</td>\n",
       "      <td>44,177,704</td>\n",
       "      <td>7,991.62M</td>\n",
       "      <td>resnext101_32x4d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ResNeXt-101 (64x4d)</td>\n",
       "      <td>21.04</td>\n",
       "      <td>5.75</td>\n",
       "      <td>83,455,272</td>\n",
       "      <td>15,491.88M</td>\n",
       "      <td>resnext101_64x4d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SE-ResNet-50</td>\n",
       "      <td>22.47</td>\n",
       "      <td>6.40</td>\n",
       "      <td>28,088,024</td>\n",
       "      <td>3,877.01M</td>\n",
       "      <td>seresnet50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SE-ResNet-101</td>\n",
       "      <td>21.88</td>\n",
       "      <td>5.89</td>\n",
       "      <td>49,326,872</td>\n",
       "      <td>7,600.01M</td>\n",
       "      <td>seresnet101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SE-ResNet-152</td>\n",
       "      <td>21.48</td>\n",
       "      <td>5.76</td>\n",
       "      <td>66,821,848</td>\n",
       "      <td>11,324.62M</td>\n",
       "      <td>seresnet152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>SE-ResNeXt-50 (32x4d)</td>\n",
       "      <td>21.00</td>\n",
       "      <td>5.54</td>\n",
       "      <td>27,559,896</td>\n",
       "      <td>4,253.33M</td>\n",
       "      <td>seresnext50_32x4d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>CondenseNet-74 (C=G=8)</td>\n",
       "      <td>28.93</td>\n",
       "      <td>10.06</td>\n",
       "      <td>2,935,416</td>\n",
       "      <td>278.55M</td>\n",
       "      <td>condensenet74_c8_g8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>DPN-68</td>\n",
       "      <td>24.17</td>\n",
       "      <td>7.27</td>\n",
       "      <td>12,611,602</td>\n",
       "      <td>2,338.71M</td>\n",
       "      <td>dpn68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>DPN-98</td>\n",
       "      <td>20.81</td>\n",
       "      <td>5.53</td>\n",
       "      <td>61,570,728</td>\n",
       "      <td>11,702.80M</td>\n",
       "      <td>dpn98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>DPN-131</td>\n",
       "      <td>20.54</td>\n",
       "      <td>5.48</td>\n",
       "      <td>79,254,504</td>\n",
       "      <td>16,056.22M</td>\n",
       "      <td>dpn131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>DarkNet Tiny</td>\n",
       "      <td>43.65</td>\n",
       "      <td>19.80</td>\n",
       "      <td>1,042,104</td>\n",
       "      <td>496.34M</td>\n",
       "      <td>darknet_tiny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>DarkNet Ref</td>\n",
       "      <td>38.58</td>\n",
       "      <td>17.18</td>\n",
       "      <td>7,319,416</td>\n",
       "      <td>365.55M</td>\n",
       "      <td>darknet_ref</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>SqueezeNet v1.0</td>\n",
       "      <td>41.31</td>\n",
       "      <td>19.32</td>\n",
       "      <td>1,248,424</td>\n",
       "      <td>828.30M</td>\n",
       "      <td>squeezenet_v1_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>SqueezeNet v1.1</td>\n",
       "      <td>41.82</td>\n",
       "      <td>19.38</td>\n",
       "      <td>1,235,496</td>\n",
       "      <td>354.88M</td>\n",
       "      <td>squeezenet_v1_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ShuffleNetV2 x0.5</td>\n",
       "      <td>41.48</td>\n",
       "      <td>19.02</td>\n",
       "      <td>1,366,792</td>\n",
       "      <td>42.34M</td>\n",
       "      <td>shufflenetv2_wd2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>ShuffleNetV2 x1.0</td>\n",
       "      <td>34.39</td>\n",
       "      <td>13.78</td>\n",
       "      <td>2,278,604</td>\n",
       "      <td>147.92M</td>\n",
       "      <td>shufflenetv2_w1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ShuffleNetV2 x1.5</td>\n",
       "      <td>32.82</td>\n",
       "      <td>12.69</td>\n",
       "      <td>4,406,098</td>\n",
       "      <td>318.61M</td>\n",
       "      <td>shufflenetv2_w3d2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>108-MENet-8x1 (g=3)</td>\n",
       "      <td>43.92</td>\n",
       "      <td>20.76</td>\n",
       "      <td>654,516</td>\n",
       "      <td>40.64M</td>\n",
       "      <td>menet108_8x1_g3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>128-MENet-8x1 (g=4)</td>\n",
       "      <td>43.95</td>\n",
       "      <td>20.62</td>\n",
       "      <td>750,796</td>\n",
       "      <td>43.58M</td>\n",
       "      <td>menet128_8x1_g4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>228-MENet-12x1 (g=3)</td>\n",
       "      <td>33.57</td>\n",
       "      <td>13.28</td>\n",
       "      <td>1,806,568</td>\n",
       "      <td>148.93M</td>\n",
       "      <td>menet228_12x1_g3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>256-MENet-12x1 (g=4)</td>\n",
       "      <td>33.41</td>\n",
       "      <td>13.26</td>\n",
       "      <td>1,888,240</td>\n",
       "      <td>146.11M</td>\n",
       "      <td>menet256_12x1_g4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>348-MENet-12x1 (g=3)</td>\n",
       "      <td>30.10</td>\n",
       "      <td>10.92</td>\n",
       "      <td>3,368,128</td>\n",
       "      <td>306.31M</td>\n",
       "      <td>menet348_12x1_g3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>352-MENet-12x1 (g=8)</td>\n",
       "      <td>33.31</td>\n",
       "      <td>13.08</td>\n",
       "      <td>2,272,872</td>\n",
       "      <td>151.03M</td>\n",
       "      <td>menet352_12x1_g8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>456-MENet-24x1 (g=3)</td>\n",
       "      <td>28.40</td>\n",
       "      <td>9.93</td>\n",
       "      <td>5,304,784</td>\n",
       "      <td>560.72M</td>\n",
       "      <td>menet456_24x1_g3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>MobileNet x0.25</td>\n",
       "      <td>46.26</td>\n",
       "      <td>22.49</td>\n",
       "      <td>470,072</td>\n",
       "      <td>42.30M</td>\n",
       "      <td>mobilenet_wd4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>MobileNet x0.5</td>\n",
       "      <td>36.30</td>\n",
       "      <td>15.14</td>\n",
       "      <td>1,331,592</td>\n",
       "      <td>152.04M</td>\n",
       "      <td>mobilenet_wd2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>MobileNet x0.75</td>\n",
       "      <td>33.54</td>\n",
       "      <td>12.85</td>\n",
       "      <td>2,585,560</td>\n",
       "      <td>329.22M</td>\n",
       "      <td>mobilenet_w3d4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>MobileNet x1.0</td>\n",
       "      <td>29.86</td>\n",
       "      <td>10.36</td>\n",
       "      <td>4,231,976</td>\n",
       "      <td>573.83M</td>\n",
       "      <td>mobilenet_w1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>FD-MobileNet x0.25</td>\n",
       "      <td>55.77</td>\n",
       "      <td>31.32</td>\n",
       "      <td>383,160</td>\n",
       "      <td>12.44M</td>\n",
       "      <td>fdmobilenet_wd4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>FD-MobileNet x0.5</td>\n",
       "      <td>43.85</td>\n",
       "      <td>20.72</td>\n",
       "      <td>993,928</td>\n",
       "      <td>40.93M</td>\n",
       "      <td>fdmobilenet_wd2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>FD-MobileNet x1.0</td>\n",
       "      <td>34.70</td>\n",
       "      <td>14.05</td>\n",
       "      <td>2,901,288</td>\n",
       "      <td>146.08M</td>\n",
       "      <td>fdmobilenet_w1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>MobileNetV2 x0.25</td>\n",
       "      <td>49.72</td>\n",
       "      <td>25.87</td>\n",
       "      <td>1,516,392</td>\n",
       "      <td>32.22M</td>\n",
       "      <td>mobilenetv2_wd4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>MobileNetV2 x0.5</td>\n",
       "      <td>36.54</td>\n",
       "      <td>15.19</td>\n",
       "      <td>1,964,736</td>\n",
       "      <td>95.62M</td>\n",
       "      <td>mobilenetv2_wd2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>MobileNetV2 x0.75</td>\n",
       "      <td>31.89</td>\n",
       "      <td>11.76</td>\n",
       "      <td>2,627,592</td>\n",
       "      <td>191.61M</td>\n",
       "      <td>mobilenetv2_w3d4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>MobileNetV2 x1.0</td>\n",
       "      <td>29.31</td>\n",
       "      <td>10.39</td>\n",
       "      <td>3,504,960</td>\n",
       "      <td>320.19M</td>\n",
       "      <td>mobilenetv2_w1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>SNet-A-Mobile</td>\n",
       "      <td>25.68</td>\n",
       "      <td>8.16</td>\n",
       "      <td>5,289,978</td>\n",
       "      <td>587.29M</td>\n",
       "      <td>snetamobile</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     model   top1   top5      params       flops  \\\n",
       "0                ResNet-10  37.46  15.85   5,418,792     892.62M   \n",
       "1                ResNet-12  36.18  14.80   5,492,776   1,124.23M   \n",
       "2                ResNet-14  33.17  12.71   5,788,200   1,355.64M   \n",
       "3                ResNet-16  30.90  11.38   6,968,872   1,586.95M   \n",
       "4          ResNet-18 x0.25  49.50  24.83     831,096     136.64M   \n",
       "5           ResNet-18 x0.5  37.04  15.38   3,055,880     485.22M   \n",
       "6          ResNet-18 x0.75  33.61  12.85   6,675,352   1,045.75M   \n",
       "7                ResNet-18  29.52  10.21  11,689,512   1,818.21M   \n",
       "8                ResNet-34  25.66   8.18  21,797,672   3,669.16M   \n",
       "9                ResNet-50  23.79   7.05  25,557,032   3,868.96M   \n",
       "10              ResNet-50b  23.05   6.65  25,557,032   4,100.70M   \n",
       "11              ResNet-101  21.90   6.22  44,549,160   7,586.30M   \n",
       "12             ResNet-101b  21.45   5.81  44,549,160   7,818.04M   \n",
       "13              ResNet-152  21.26   5.82  60,192,808  11,304.85M   \n",
       "14             ResNet-152b  20.74   5.50  60,192,808  11,536.58M   \n",
       "15            PreResNet-18  29.09  10.18  11,687,848   1,818.41M   \n",
       "16            PreResNet-34  26.23   8.41  21,796,008   3,669.36M   \n",
       "17            PreResNet-50  23.70   6.85  25,549,480   3,869.16M   \n",
       "18           PreResNet-50b  23.33   6.87  25,549,480   4,100.90M   \n",
       "19           PreResNet-101  21.74   5.91  44,541,608   7,586.50M   \n",
       "20          PreResNet-101b  21.95   6.03  44,541,608   7,818.24M   \n",
       "21           PreResNet-152  20.94   5.55  60,185,256  11,305.05M   \n",
       "22          PreResNet-152b  21.34   5.91  60,185,256  11,536.78M   \n",
       "23          PreResNet-200b  21.33   5.88  64,666,280  15,040.27M   \n",
       "24     ResNeXt-101 (32x4d)  21.81   6.11  44,177,704   7,991.62M   \n",
       "25     ResNeXt-101 (64x4d)  21.04   5.75  83,455,272  15,491.88M   \n",
       "26            SE-ResNet-50  22.47   6.40  28,088,024   3,877.01M   \n",
       "27           SE-ResNet-101  21.88   5.89  49,326,872   7,600.01M   \n",
       "28           SE-ResNet-152  21.48   5.76  66,821,848  11,324.62M   \n",
       "29   SE-ResNeXt-50 (32x4d)  21.00   5.54  27,559,896   4,253.33M   \n",
       "..                     ...    ...    ...         ...         ...   \n",
       "37  CondenseNet-74 (C=G=8)  28.93  10.06   2,935,416     278.55M   \n",
       "38                  DPN-68  24.17   7.27  12,611,602   2,338.71M   \n",
       "39                  DPN-98  20.81   5.53  61,570,728  11,702.80M   \n",
       "40                 DPN-131  20.54   5.48  79,254,504  16,056.22M   \n",
       "41            DarkNet Tiny  43.65  19.80   1,042,104     496.34M   \n",
       "42             DarkNet Ref  38.58  17.18   7,319,416     365.55M   \n",
       "43         SqueezeNet v1.0  41.31  19.32   1,248,424     828.30M   \n",
       "44         SqueezeNet v1.1  41.82  19.38   1,235,496     354.88M   \n",
       "45       ShuffleNetV2 x0.5  41.48  19.02   1,366,792      42.34M   \n",
       "46       ShuffleNetV2 x1.0  34.39  13.78   2,278,604     147.92M   \n",
       "47       ShuffleNetV2 x1.5  32.82  12.69   4,406,098     318.61M   \n",
       "48     108-MENet-8x1 (g=3)  43.92  20.76     654,516      40.64M   \n",
       "49     128-MENet-8x1 (g=4)  43.95  20.62     750,796      43.58M   \n",
       "50    228-MENet-12x1 (g=3)  33.57  13.28   1,806,568     148.93M   \n",
       "51    256-MENet-12x1 (g=4)  33.41  13.26   1,888,240     146.11M   \n",
       "52    348-MENet-12x1 (g=3)  30.10  10.92   3,368,128     306.31M   \n",
       "53    352-MENet-12x1 (g=8)  33.31  13.08   2,272,872     151.03M   \n",
       "54    456-MENet-24x1 (g=3)  28.40   9.93   5,304,784     560.72M   \n",
       "55         MobileNet x0.25  46.26  22.49     470,072      42.30M   \n",
       "56          MobileNet x0.5  36.30  15.14   1,331,592     152.04M   \n",
       "57         MobileNet x0.75  33.54  12.85   2,585,560     329.22M   \n",
       "58          MobileNet x1.0  29.86  10.36   4,231,976     573.83M   \n",
       "59      FD-MobileNet x0.25  55.77  31.32     383,160      12.44M   \n",
       "60       FD-MobileNet x0.5  43.85  20.72     993,928      40.93M   \n",
       "61       FD-MobileNet x1.0  34.70  14.05   2,901,288     146.08M   \n",
       "62       MobileNetV2 x0.25  49.72  25.87   1,516,392      32.22M   \n",
       "63        MobileNetV2 x0.5  36.54  15.19   1,964,736      95.62M   \n",
       "64       MobileNetV2 x0.75  31.89  11.76   2,627,592     191.61M   \n",
       "65        MobileNetV2 x1.0  29.31  10.39   3,504,960     320.19M   \n",
       "66           SNet-A-Mobile  25.68   8.16   5,289,978     587.29M   \n",
       "\n",
       "              fixedname  \n",
       "0              resnet10  \n",
       "1              resnet12  \n",
       "2              resnet14  \n",
       "3              resnet16  \n",
       "4          resnet18_wd4  \n",
       "5          resnet18_wd2  \n",
       "6         resnet18_w3d4  \n",
       "7              resnet18  \n",
       "8              resnet34  \n",
       "9              resnet50  \n",
       "10            resnet50b  \n",
       "11            resnet101  \n",
       "12           resnet101b  \n",
       "13            resnet152  \n",
       "14           resnet152b  \n",
       "15          preresnet18  \n",
       "16          preresnet34  \n",
       "17          preresnet50  \n",
       "18         preresnet50b  \n",
       "19         preresnet101  \n",
       "20        preresnet101b  \n",
       "21         preresnet152  \n",
       "22        preresnet152b  \n",
       "23        preresnet200b  \n",
       "24     resnext101_32x4d  \n",
       "25     resnext101_64x4d  \n",
       "26           seresnet50  \n",
       "27          seresnet101  \n",
       "28          seresnet152  \n",
       "29    seresnext50_32x4d  \n",
       "..                  ...  \n",
       "37  condensenet74_c8_g8  \n",
       "38                dpn68  \n",
       "39                dpn98  \n",
       "40               dpn131  \n",
       "41         darknet_tiny  \n",
       "42          darknet_ref  \n",
       "43      squeezenet_v1_0  \n",
       "44      squeezenet_v1_1  \n",
       "45     shufflenetv2_wd2  \n",
       "46      shufflenetv2_w1  \n",
       "47    shufflenetv2_w3d2  \n",
       "48      menet108_8x1_g3  \n",
       "49      menet128_8x1_g4  \n",
       "50     menet228_12x1_g3  \n",
       "51     menet256_12x1_g4  \n",
       "52     menet348_12x1_g3  \n",
       "53     menet352_12x1_g8  \n",
       "54     menet456_24x1_g3  \n",
       "55        mobilenet_wd4  \n",
       "56        mobilenet_wd2  \n",
       "57       mobilenet_w3d4  \n",
       "58         mobilenet_w1  \n",
       "59      fdmobilenet_wd4  \n",
       "60      fdmobilenet_wd2  \n",
       "61       fdmobilenet_w1  \n",
       "62      mobilenetv2_wd4  \n",
       "63      mobilenetv2_wd2  \n",
       "64     mobilenetv2_w3d4  \n",
       "65       mobilenetv2_w1  \n",
       "66          snetamobile  \n",
       "\n",
       "[67 rows x 6 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "osmr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_model_lognorms(model):\n",
    "    try:\n",
    "        lognorms, min_svs, Qs = [], [], []\n",
    "\n",
    "        for W in tqdm(iter_pytorch_layers(model)):\n",
    "            M, N = np.min(W.shape), np.max(W.shape)\n",
    "            Q = N/M\n",
    "            Qs.append(Q)\n",
    "\n",
    "            lognorm = np.log10(np.linalg.norm(W))\n",
    "            lognorms.append(lognorm)\n",
    "\n",
    "    except Exception as e:\n",
    "        print(\"skipping ...\")\n",
    "        print(e)\n",
    "        pass\n",
    "    \n",
    "    return lognorms, min_svs, Qs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Quick check the model loads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98c62076191245fb96e068061b5acf07",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(64, 64)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = ptcv_get_model('resnet10', pretrained=True)\n",
    "for W in tqdm(iter_pytorch_layers(model)):\n",
    "    print(W.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>top1</th>\n",
       "      <th>top5</th>\n",
       "      <th>params</th>\n",
       "      <th>flops</th>\n",
       "      <th>fixedname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ResNet-10</td>\n",
       "      <td>37.46</td>\n",
       "      <td>15.85</td>\n",
       "      <td>5,418,792</td>\n",
       "      <td>892.62M</td>\n",
       "      <td>resnet10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       model   top1   top5     params    flops fixedname\n",
       "0  ResNet-10  37.46  15.85  5,418,792  892.62M  resnet10"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "osmr.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "resnet10\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "77bdc101341a4e31a80d4afcec353e9e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nlayers 13\n",
      "\n",
      "resnet12\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4eefd183217b4087bf6d8d0a26b2a671",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nlayers 15\n",
      "\n",
      "resnet14\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2cd265414bed4a7d8d2fb1c3b7dbeee2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nlayers 17\n",
      "\n",
      "resnet16\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c4ba190eb2f9497086551fad65b6274c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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    {
     "name": "stdout",
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     "text": [
      "nlayers 135\n",
      "\n",
      "darknet_tiny\n"
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     "text": [
      "nlayers 16\n",
      "\n",
      "darknet_ref\n",
      "Pretrained model for darknet_ref is not available.\n",
      "squeezenet_v1_0\n"
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     "text": [
      "nlayers 26\n",
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     "text": [
      "nlayers 26\n",
      "\n",
      "shufflenetv2_wd2\n"
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     "text": [
      "nlayers 57\n",
      "\n",
      "shufflenetv2_w1\n"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nlayers 57\n",
      "\n",
      "shufflenetv2_w3d2\n",
      "Pretrained model for shufflenetv2_w3d2 is not available.\n",
      "menet108_8x1_g3\n"
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     "text": [
      "nlayers 98\n",
      "\n",
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     "text": [
      "nlayers 98\n",
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     "text": [
      "nlayers 98\n",
      "\n",
      "menet256_12x1_g4\n"
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     "text": [
      "nlayers 98\n",
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     "text": [
      "nlayers 98\n",
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     "text": [
      "nlayers 98\n",
      "\n",
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     "text": [
      "nlayers 98\n",
      "\n",
      "mobilenet_wd4\n"
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     "text": [
      "nlayers 28\n",
      "\n",
      "mobilenet_wd2\n"
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     "text": [
      "nlayers 28\n",
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      "mobilenet_w3d4\n"
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     "text": [
      "nlayers 28\n",
      "\n",
      "mobilenet_w1\n"
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     "text": [
      "nlayers 28\n",
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      "fdmobilenet_wd4\n"
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     "text": [
      "nlayers 24\n",
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      "nlayers 24\n",
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      "nlayers 24\n",
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      "nlayers 54\n",
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      "nlayers 54\n",
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      "nlayers 54\n",
      "\n",
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     "text": [
      "nlayers 54\n",
      "\n",
      "snetamobile\n",
      "Unsupported model: snetamobile\n"
     ]
    }
   ],
   "source": [
    "lognorms4model = {}\n",
    "for fixedname in osmr['fixedname'].values:\n",
    "    \n",
    "    print(fixedname)\n",
    "    try:\n",
    "        model = ptcv_get_model(fixedname, pretrained=True)\n",
    "        lognorms, min_svs, Qs= calc_model_lognorms(model)\n",
    "        lognorms4model[fixedname]=lognorms\n",
    "    except Exception as e:\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-16T00:27:41.987680Z",
     "start_time": "2018-10-16T00:27:41.727075Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "def plot_top_errors(title, fixednames=None, tops=[\"top1\"], small=True):\n",
    "    \n",
    "    if small:\n",
    "        plt.rcParams['figure.figsize'] = [10,10]\n",
    "        matplotlib.rcParams.update({'font.size': 24})\n",
    "        legend_prop={'size':20}\n",
    "        marker_size = 75\n",
    "    else:\n",
    "        plt.rcParams['figure.figsize'] = [12,12]\n",
    "        matplotlib.rcParams.update({'font.size': 26})\n",
    "        legend_prop={'size':20}\n",
    "        marker_size = 75\n",
    "\n",
    "    for top in tops:\n",
    "        \n",
    "        if fixednames is None:\n",
    "            fixednames = []\n",
    "            startstr = title.lower()\n",
    "\n",
    "            for fname in lognorms4model:\n",
    "                if fname.startswith(startstr):\n",
    "                    fixednames.append(fname)\n",
    "        \n",
    "        for fname in fixednames:\n",
    "                try:\n",
    "                    avga = np.average(lognorms4model[fname])\n",
    "                    top1 = osmr[osmr['fixedname']==fname][top].values[0]\n",
    "                    plt.scatter(100.0-top1, avga, label=fname,s=marker_size)\n",
    "\n",
    "                    table_line = \"& {} & {} & {} \\\\\\\\\".format(fname.replace(\"_\",\"\\_\"), top1, avga)\n",
    "                    print(table_line)\n",
    "                except:\n",
    "                    pass\n",
    "\n",
    "\n",
    "        plt.ylabel(\"{} Test Accuracy\".format(top))\n",
    "        plt.title(r\"Test Accuracy vs  Average Log Norm $\\langle\\log_{10}\\Vert W\\Vert_{F}\\rangle$\"+\"\\n Pretrained {} Models\".format(title))\n",
    "        plt.ylabel(r'$\\langle\\log\\Vert W\\Vert_{F}\\rangle$')\n",
    "        plt.xlabel(\"{} Test Accuracy\".format(top))\n",
    "        #plt.gca().invert_xaxis()\n",
    "        plt.legend(prop=legend_prop)\n",
    "        figname = \"img/{}_{}-lognorms.png\".format(title,top)\n",
    "        plt.savefig(figname)\n",
    "        print(\"saved \"+figname)\n",
    "        \n",
    "        plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& menet108\\_8x1\\_g3 & 43.92 & 1.0672821998596191 \\\\\n",
      "& menet128\\_8x1\\_g4 & 43.95 & 1.0607006549835205 \\\\\n",
      "& menet228\\_12x1\\_g3 & 33.57 & 0.2572239339351654 \\\\\n",
      "& menet256\\_12x1\\_g4 & 33.41 & 0.26346316933631897 \\\\\n",
      "& menet348\\_12x1\\_g3 & 30.1 & 0.21621130406856537 \\\\\n",
      "& menet352\\_12x1\\_g8 & 33.31 & 0.2876143157482147 \\\\\n",
      "& menet456\\_24x1\\_g3 & 28.4 & 0.3307739794254303 \\\\\n",
      "saved img/MeNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(title=\"MeNet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ResNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& resnet10 & 37.46 & 0.8798477053642273 \\\\\n",
      "& resnet12 & 36.18 & 0.6783980131149292 \\\\\n",
      "& resnet14 & 33.17 & 0.8383921384811401 \\\\\n",
      "& resnet16 & 30.9 & 0.8271889090538025 \\\\\n",
      "& resnet18\\_wd4 & 49.5 & 0.6381021738052368 \\\\\n",
      "& resnet18\\_wd2 & 37.04 & 0.7617139220237732 \\\\\n",
      "& resnet18\\_w3d4 & 33.61 & 0.574541449546814 \\\\\n",
      "& resnet18 & 29.52 & 0.7694433331489563 \\\\\n",
      "& resnet34 & 25.66 & 0.5906298756599426 \\\\\n",
      "& resnet50 & 23.79 & 0.6336358189582825 \\\\\n",
      "& resnet50b & 23.05 & 0.6376263499259949 \\\\\n",
      "& resnet101 & 21.9 & 0.5005567073822021 \\\\\n",
      "& resnet101b & 21.45 & 0.5155783295631409 \\\\\n",
      "& resnet152 & 21.26 & 0.3934951424598694 \\\\\n",
      "& resnet152b & 20.74 & 0.4138258099555969 \\\\\n",
      "saved img/ResNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"ResNet\", small=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DPN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& dpn68 & 24.17 & 0.384235143661499 \\\\\n",
      "& dpn98 & 20.81 & 0.26446858048439026 \\\\\n",
      "& dpn131 & 20.54 & 0.18947161734104156 \\\\\n",
      "saved img/DPN_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"DPN\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DenseNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& densenet121 & 25.57 & 0.2602657079696655 \\\\\n",
      "& densenet161 & 22.86 & 0.24130846560001373 \\\\\n",
      "& densenet169 & 24.4 & 0.17591598629951477 \\\\\n",
      "& densenet201 & 23.1 & 0.14924849569797516 \\\\\n",
      "saved img/DenseNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"DenseNet\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SeResNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& seresnet50 & 22.47 & 0.5491737127304077 \\\\\n",
      "& seresnet101 & 21.88 & 0.3283577561378479 \\\\\n",
      "& seresnet152 & 21.48 & 0.1948070228099823 \\\\\n",
      "saved img/SeResNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"SeResNet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SeResNeXt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& seresnext50\\_32x4d & 21.0 & 0.5604196190834045 \\\\\n",
      "& seresnext101\\_32x4d & 19.96 & 0.33570364117622375 \\\\\n",
      "saved img/SeResNeXt_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"SeResNeXt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& shufflenetv2\\_wd2 & 41.48 & 0.9387305974960327 \\\\\n",
      "& shufflenetv2\\_w1 & 34.39 & 0.9358710050582886 \\\\\n",
      "saved img/ShuffleNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"ShuffleNet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Counterexamples\n",
    "\n",
    "- All 3 MobileNet models, which we may be interpreting incorrectly\n",
    "\n",
    "- CondenseNet\n",
    "\n",
    "- SqueezeNet, which different from the Pytorch defaults *(the numbers may be off)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& mobilenet\\_wd4 & 46.26 & 1.2612096071243286 \\\\\n",
      "& mobilenet\\_wd2 & 36.3 & 1.1445446014404297 \\\\\n",
      "& mobilenet\\_w3d4 & 33.54 & 1.178188681602478 \\\\\n",
      "& mobilenet\\_w1 & 29.86 & 1.1933209896087646 \\\\\n",
      "& mobilenetv2\\_wd4 & 49.72 & 0.9510997533798218 \\\\\n",
      "& mobilenetv2\\_wd2 & 36.54 & 0.9513986110687256 \\\\\n",
      "& mobilenetv2\\_w3d4 & 31.89 & 0.9908249378204346 \\\\\n",
      "& mobilenetv2\\_w1 & 29.31 & 1.0258347988128662 \\\\\n",
      "saved img/MobileNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"MobileNet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& fdmobilenet\\_wd4 & 55.77 & 1.3243149518966675 \\\\\n",
      "& fdmobilenet\\_wd2 & 43.85 & 1.3680027723312378 \\\\\n",
      "& fdmobilenet\\_w1 & 34.7 & 1.4272710084915161 \\\\\n",
      "saved img/FDMobileNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"FDMobileNet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  CondenseNet is an outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& condensenet74\\_c4\\_g4 & 26.25 & 0.3231754004955292 \\\\\n",
      "& condensenet74\\_c8\\_g8 & 28.93 & 0.3178260028362274 \\\\\n",
      "saved img/CondenseNet_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(title=\"CondenseNet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ResNeXt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "& resnext101\\_32x4d & 21.81 & 0.3577885329723358 \\\\\n",
      "& resnext101\\_64x4d & 21.04 & 0.3816513419151306 \\\\\n",
      "saved img/ResNeXt_top1-lognorms.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_errors(\"ResNeXt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "widgets": {
   "state": {
    "4b03dcca1bc8453ba4c9b629ec9197b4": {
     "views": [
      {
       "cell_index": 24
      }
     ]
    }
   },
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