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| a | b/notebooks/PytorchNoteBook.ipynb | ||
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| 1 | { |
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| 2 | "cells": [ |
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| 3 | { |
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| 4 | "cell_type": "code", |
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| 5 | "execution_count": 1, |
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| 6 | "metadata": {}, |
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| 7 | "outputs": [], |
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| 8 | "source": [ |
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| 9 | "from Classes.Data import augmentation, LeukemiaDataset, augmentation_alb\n", |
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| 10 | "from Classes.Helpers import Helpers\n", |
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| 11 | "from Classes.Model_2020 import LuekemiaNet, learner\n", |
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| 12 | "from Classes.model_api import plot_training_history, show_predictions,\\\n", |
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| 13 | " confusion_matrix2, get_predictions, predict_probability, show_prediction_confidence\n", |
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| 14 | "from Classes.interpretability import interpret_model\n", |
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| 15 | "from torch.utils.data import DataLoader\n", |
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| 16 | "from torch.utils.data.sampler import SubsetRandomSampler\n", |
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| 17 | "import torch.optim as optim\n", |
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| 18 | "import pandas as pd\n", |
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| 19 | "from torch import nn\n", |
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| 20 | "import random\n", |
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| 21 | "import torch\n", |
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| 22 | "import os\n", |
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| 23 | "from sklearn.model_selection import train_test_split\n", |
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| 24 | "from sklearn.metrics import confusion_matrix, classification_report\n", |
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| 25 | "import numpy as np" |
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| 26 | ] |
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| 27 | }, |
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| 28 | { |
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| 29 | "cell_type": "code", |
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| 30 | "execution_count": 2, |
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| 31 | "metadata": {}, |
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| 32 | "outputs": [], |
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| 33 | "source": [ |
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| 34 | "SEED = 323\n", |
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| 35 | "def seed_everything(seed=SEED):\n", |
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| 36 | " random.seed(seed)\n", |
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| 37 | " os.environ['PYHTONHASHSEED'] = str(seed)\n", |
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| 38 | " np.random.seed(seed)\n", |
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| 39 | " torch.manual_seed(seed)\n", |
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| 40 | " torch.cuda.manual_seed(seed)\n", |
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| 41 | " torch.backends.cudnn.deterministic = True\n", |
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| 42 | "\n", |
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| 43 | "\n", |
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| 44 | "seed_everything(SEED)\n", |
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| 45 | "# helper class\n", |
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| 46 | "helper = Helpers(\"Test Model\", False)\n", |
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| 47 | "# train data directory\n", |
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| 48 | "train_dir = 'C:/Peter Moss AML Leukemia Research/Dataset/all_train/'\n", |
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| 49 | "# train label directoy\n", |
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| 50 | "train_csv = 'C:/Peter Moss AML Leukemia Research/Dataset/train.csv'\n", |
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| 51 | "# labels\n", |
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| 52 | "class_name = [\"neg\", \"pos\"]" |
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| 53 | ] |
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| 54 | }, |
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| 55 | { |
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| 56 | "cell_type": "code", |
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| 57 | "execution_count": 3, |
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| 58 | "metadata": {}, |
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| 59 | "outputs": [], |
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| 60 | "source": [ |
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| 61 | "image_path = 'C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Model\\Data\\Test\\Im047_0.jpg'\n", |
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| 62 | "image_path2 = 'C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Model\\Data\\Test\\Im006_1.jpg'\n", |
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| 63 | "label_idx = 'C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Model\\class_idx.json'" |
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| 64 | ] |
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| 65 | }, |
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| 66 | { |
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| 67 | "cell_type": "code", |
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| 68 | "execution_count": 4, |
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| 69 | "metadata": {}, |
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| 70 | "outputs": [ |
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| 71 | { |
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| 72 | "name": "stdout", |
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| 73 | "output_type": "stream", |
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| 74 | "text": [ |
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| 75 | "0 49\n", |
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| 76 | "1 39\n", |
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| 77 | "Name: label, dtype: int64\n", |
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| 78 | " data label\n", |
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| 79 | "0 Im001_1 1\n", |
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| 80 | "1 Im002_1 1\n", |
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| 81 | "2 Im003_1 1\n", |
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| 82 | "3 Im004_1 1\n", |
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| 83 | "4 Im005_1 1\n", |
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| 84 | "79 9\n" |
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| 85 | ] |
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| 86 | } |
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| 87 | ], |
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| 88 | "source": [ |
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| 89 | "# training batch size\n", |
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| 90 | "batch_size = helper.config[\"classifier\"][\"train\"][\"batch\"]\n", |
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| 91 | "# accuracy and loss save directory\n", |
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| 92 | "acc_loss_png = helper.config[\"classifier\"][\"model_params\"][\"plot_loss_and_acc\"]\n", |
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| 93 | "# confusion matrix save directory\n", |
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| 94 | "confusion_png = helper.config[\"classifier\"][\"model_params\"][\"confusion_matrix\"]\n", |
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| 95 | "# number of epoch\n", |
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| 96 | "epochs = helper.config[\"classifier\"][\"train\"][\"epochs\"]\n", |
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| 97 | "# learning rate\n", |
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| 98 | "learn_rate = helper.config[\"classifier\"][\"train\"][\"learning_rate_adam\"]\n", |
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| 99 | "# decay\n", |
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| 100 | "decay = helper.config[\"classifier\"][\"train\"][\"decay_adam\"]\n", |
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| 101 | "# read train CSV file\n", |
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| 102 | "labels = pd.read_csv(train_csv)\n", |
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| 103 | "# print label count\n", |
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| 104 | "labels_count = labels.label.value_counts()\n", |
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| 105 | "print(labels_count)\n", |
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| 106 | "# print 5 label header\n", |
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| 107 | "print(labels.head())\n", |
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| 108 | "# splitting data into training and validation set\n", |
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| 109 | "train, valid = train_test_split(labels, stratify = labels.label, test_size = 0.1, shuffle=True)\n", |
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| 110 | "print(len(train),len(valid))" |
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| 111 | ] |
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| 112 | }, |
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| 113 | { |
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| 114 | "cell_type": "code", |
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| 115 | "execution_count": 5, |
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| 116 | "metadata": {}, |
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| 117 | "outputs": [ |
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| 118 | { |
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| 119 | "name": "stdout", |
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| 120 | "output_type": "stream", |
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| 121 | "text": [ |
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| 122 | "79 9\n" |
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| 123 | ] |
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| 124 | } |
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| 125 | ], |
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| 126 | "source": [ |
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| 127 | "#data augmentation\n", |
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| 128 | "training_transforms, validation_transforms = augmentation()\n", |
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| 129 | "\n", |
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| 130 | "# Read Acute Lymphoblastic Leukemia dataset from disk\n", |
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| 131 | "trainset = LeukemiaDataset(df_data=train, data_dir=train_dir, transform=training_transforms)\n", |
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| 132 | "validset = LeukemiaDataset(df_data=valid, data_dir=train_dir, transform=validation_transforms)\n", |
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| 133 | "\n", |
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| 134 | "train_size, valid_size = len(trainset), len(validset)\n", |
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| 135 | "print(train_size, valid_size)\n", |
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| 136 | "\n", |
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| 137 | "train_sampler = SubsetRandomSampler(list(train.index))\n", |
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| 138 | "valid_sampler = SubsetRandomSampler(list(valid.index))\n", |
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| 139 | "\n", |
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| 140 | "# Prepare dataset for neural networks\n", |
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| 141 | "train_data_loader = DataLoader(trainset, batch_size=batch_size, shuffle=True)\n", |
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| 142 | "valid_data_loader = DataLoader(validset, batch_size=batch_size, shuffle=False)\n" |
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| 143 | ] |
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| 144 | }, |
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| 145 | { |
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| 146 | "cell_type": "code", |
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| 147 | "execution_count": 6, |
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| 148 | "metadata": {}, |
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| 149 | "outputs": [ |
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| 150 | { |
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| 151 | "name": "stdout", |
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| 152 | "output_type": "stream", |
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| 153 | "text": [ |
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| 154 | "Training Set:\n", |
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| 155 | "\n", |
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| 156 | "Image batch dimensions: torch.Size([10, 3, 100, 100])\n", |
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| 157 | "Image label dimensions: torch.Size([10])\n", |
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| 158 | "\n", |
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| 159 | "\n", |
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| 160 | "The labels: tensor([1, 1, 0, 0, 0, 0, 0, 1, 1])\n" |
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| 161 | ] |
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| 162 | } |
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| 163 | ], |
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| 164 | "source": [ |
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| 165 | "# Checking the dataset\n", |
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| 166 | "print('Training Set:\\n')\n", |
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| 167 | "for images, labels in train_data_loader:\n", |
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| 168 | " print('Image batch dimensions:', images.size())\n", |
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| 169 | " print('Image label dimensions:', labels.size())\n", |
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| 170 | " break\n", |
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| 171 | "print(\"\\n\")\n", |
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| 172 | "\n", |
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| 173 | "# loop through our validation data and output the labels\n", |
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| 174 | "for images, labels in valid_data_loader:\n", |
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| 175 | " print(\"The labels: \",labels)" |
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| 176 | ] |
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| 177 | }, |
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| 178 | { |
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| 179 | "cell_type": "code", |
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| 180 | "execution_count": 7, |
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| 181 | "metadata": {}, |
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| 182 | "outputs": [ |
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| 183 | { |
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| 184 | "name": "stdout", |
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| 185 | "output_type": "stream", |
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| 186 | "text": [ |
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| 187 | "CUDA is available and training on GPU ...\n" |
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| 188 | ] |
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| 189 | } |
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| 190 | ], |
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| 191 | "source": [ |
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| 192 | "\n", |
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| 193 | "# Define model\n", |
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| 194 | "model = LuekemiaNet()\n", |
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| 195 | "# check if CUDA is available\n", |
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| 196 | "train_on_gpu = torch.cuda.is_available()\n", |
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| 197 | "# Move our model to CUDA for gpu training\n", |
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| 198 | "model.cuda()\n", |
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| 199 | "\n", |
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| 200 | "\n", |
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| 201 | "if not train_on_gpu:\n", |
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| 202 | " print('CUDA is not available and training on CPU ...')\n", |
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| 203 | "else:\n", |
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| 204 | " print('CUDA is available and training on GPU ...')\n" |
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| 205 | ] |
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| 206 | }, |
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| 207 | { |
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| 208 | "cell_type": "code", |
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| 209 | "execution_count": 8, |
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| 210 | "metadata": {}, |
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| 211 | "outputs": [], |
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| 212 | "source": [ |
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| 213 | "# Cross entropy loss function\n", |
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| 214 | "criterion = nn.CrossEntropyLoss()\n", |
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| 215 | "# specify optimizer (stochastic gradient descent) and learning rate = 0.001\n", |
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| 216 | "optimizer = optim.Adam(model.parameters(), weight_decay=decay, lr=learn_rate)\n", |
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| 217 | "# scheduler = CyclicLR(optimizer, base_lr=lr, max_lr=0.01, step_size=5, mode='triangular2')\n", |
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| 218 | "scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=7, gamma=helper.config[\"classifier\"][\"model_params\"][\"gamma\"])" |
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| 219 | ] |
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| 220 | }, |
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| 221 | { |
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| 222 | "cell_type": "code", |
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| 223 | "execution_count": 9, |
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| 224 | "metadata": {}, |
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| 225 | "outputs": [ |
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| 226 | { |
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| 227 | "name": "stdout", |
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| 228 | "output_type": "stream", |
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| 229 | "text": [ |
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| 230 | "2020-12-31 03:09:27,061 - Model - INFO - Epoch 1/10\n", |
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| 231 | "2020-12-31 03:09:27,091 - Model - INFO - ----------\n", |
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| 232 | "2020-12-31 03:09:38,622 - Model - INFO - Train loss: 0.5225205793976784 Accuracy: 0.7341772317886353\n", |
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| 233 | "2020-12-31 03:09:39,573 - Model - INFO - Valid loss: 0.7080000042915344 Accuracy: 0.5555555820465088\n", |
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| 234 | "\n", |
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| 235 | "2020-12-31 03:09:39,761 - Model - INFO - Epoch 2/10\n", |
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| 236 | "2020-12-31 03:09:39,774 - Model - INFO - ----------\n", |
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| 237 | "2020-12-31 03:09:47,664 - Model - INFO - Train loss: 0.3280406277626753 Accuracy: 0.8607594966888428\n", |
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| 238 | "2020-12-31 03:09:48,575 - Model - INFO - Valid loss: 0.8643777370452881 Accuracy: 0.5555555820465088\n", |
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| 239 | "\n", |
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| 240 | "2020-12-31 03:09:48,645 - Model - INFO - Epoch 3/10\n", |
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| 241 | "2020-12-31 03:09:48,651 - Model - INFO - ----------\n" |
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| 242 | ] |
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| 243 | }, |
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| 244 | { |
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| 245 | "name": "stderr", |
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| 246 | "output_type": "stream", |
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| 247 | "text": [ |
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| 248 | "--- Logging error ---\n", |
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| 249 | "Traceback (most recent call last):\n", |
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| 250 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
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| 251 | " self.doRollover()\n", |
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| 252 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
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| 253 | " self.rotate(self.baseFilename, dfn)\n", |
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| 254 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
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| 255 | " os.rename(source, dest)\n", |
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| 256 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
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| 257 | "Call stack:\n", |
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| 258 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
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| 259 | " \"__main__\", mod_spec)\n", |
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| 260 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
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| 261 | " exec(code, run_globals)\n", |
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| 262 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
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| 263 | " app.launch_new_instance()\n", |
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| 264 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
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| 265 | " app.start()\n", |
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| 266 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
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| 267 | " self.io_loop.start()\n", |
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| 268 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
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| 269 | " self.asyncio_loop.run_forever()\n", |
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| 270 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
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| 271 | " self._run_once()\n", |
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| 272 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
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| 273 | " handle._run()\n", |
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| 274 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
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| 275 | " self._context.run(self._callback, *self._args)\n", |
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| 276 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
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| 277 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
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| 278 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
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| 279 | " ret = callback()\n", |
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| 280 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
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| 281 | " self.run()\n", |
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| 282 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
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| 283 | " yielded = self.gen.send(value)\n", |
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| 284 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
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| 285 | " yield self.process_one()\n", |
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| 286 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
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| 287 | " runner = Runner(result, future, yielded)\n", |
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| 288 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
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| 289 | " self.run()\n", |
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| 290 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
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| 291 | " yielded = self.gen.send(value)\n", |
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| 292 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
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| 293 | " yield gen.maybe_future(dispatch(*args))\n", |
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| 294 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
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| 295 | " yielded = next(result)\n", |
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| 296 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
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| 297 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
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| 298 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
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| 299 | " yielded = next(result)\n", |
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| 300 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
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| 301 | " user_expressions, allow_stdin,\n", |
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| 302 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
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| 303 | " yielded = next(result)\n", |
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| 304 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
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| 305 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
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| 306 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
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| 307 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
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| 308 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
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| 309 | " raw_cell, store_history, silent, shell_futures)\n", |
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| 310 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
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| 311 | " return runner(coro)\n", |
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| 312 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
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| 313 | " coro.send(None)\n", |
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| 314 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
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| 315 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
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| 316 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
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| 317 | " if (await self.run_code(code, result, async_=asy)):\n", |
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| 318 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
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| 319 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
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| 320 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
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| 321 | " train_on_gpu=True, n_epochs=epochs)\n", |
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| 322 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 152, in learner\n", |
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| 323 | " helper.logger.info(f'Epoch {epoch + 1}/{n_epochs}')\n", |
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| 324 | "Message: 'Epoch 1/10'\n", |
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| 325 | "Arguments: ()\n", |
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| 326 | "--- Logging error ---\n", |
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| 327 | "Traceback (most recent call last):\n", |
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| 328 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
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| 329 | " self.doRollover()\n", |
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| 330 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
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| 331 | " self.rotate(self.baseFilename, dfn)\n", |
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| 332 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
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| 333 | " os.rename(source, dest)\n", |
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| 334 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
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| 335 | "Call stack:\n", |
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| 336 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
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| 337 | " \"__main__\", mod_spec)\n", |
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| 338 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
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| 339 | " exec(code, run_globals)\n", |
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| 340 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
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| 341 | " app.launch_new_instance()\n", |
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| 342 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
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| 343 | " app.start()\n", |
||
| 344 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 345 | " self.io_loop.start()\n", |
||
| 346 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 347 | " self.asyncio_loop.run_forever()\n", |
||
| 348 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 349 | " self._run_once()\n", |
||
| 350 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 351 | " handle._run()\n", |
||
| 352 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 353 | " self._context.run(self._callback, *self._args)\n", |
||
| 354 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 355 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 356 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 357 | " ret = callback()\n", |
||
| 358 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 359 | " self.run()\n", |
||
| 360 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 361 | " yielded = self.gen.send(value)\n", |
||
| 362 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 363 | " yield self.process_one()\n", |
||
| 364 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 365 | " runner = Runner(result, future, yielded)\n", |
||
| 366 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 367 | " self.run()\n", |
||
| 368 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 369 | " yielded = self.gen.send(value)\n", |
||
| 370 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 371 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 372 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 373 | " yielded = next(result)\n", |
||
| 374 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 375 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 376 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 377 | " yielded = next(result)\n", |
||
| 378 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 379 | " user_expressions, allow_stdin,\n", |
||
| 380 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 381 | " yielded = next(result)\n", |
||
| 382 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 383 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 384 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 385 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 386 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 387 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 388 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 389 | " return runner(coro)\n", |
||
| 390 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 391 | " coro.send(None)\n", |
||
| 392 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 393 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 394 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 395 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 396 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 397 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 398 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 399 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 400 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 153, in learner\n", |
||
| 401 | " helper.logger.info('-' * 10)\n", |
||
| 402 | "Message: '----------'\n", |
||
| 403 | "Arguments: ()\n", |
||
| 404 | "--- Logging error ---\n", |
||
| 405 | "Traceback (most recent call last):\n", |
||
| 406 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 407 | " self.doRollover()\n", |
||
| 408 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 409 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 410 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 411 | " os.rename(source, dest)\n", |
||
| 412 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 413 | "Call stack:\n", |
||
| 414 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 415 | " \"__main__\", mod_spec)\n", |
||
| 416 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 417 | " exec(code, run_globals)\n", |
||
| 418 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 419 | " app.launch_new_instance()\n", |
||
| 420 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 421 | " app.start()\n", |
||
| 422 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 423 | " self.io_loop.start()\n", |
||
| 424 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 425 | " self.asyncio_loop.run_forever()\n", |
||
| 426 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 427 | " self._run_once()\n", |
||
| 428 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 429 | " handle._run()\n", |
||
| 430 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 431 | " self._context.run(self._callback, *self._args)\n", |
||
| 432 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 433 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 434 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 435 | " ret = callback()\n", |
||
| 436 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 437 | " self.run()\n", |
||
| 438 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 439 | " yielded = self.gen.send(value)\n", |
||
| 440 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 441 | " yield self.process_one()\n", |
||
| 442 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 443 | " runner = Runner(result, future, yielded)\n", |
||
| 444 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 445 | " self.run()\n", |
||
| 446 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 447 | " yielded = self.gen.send(value)\n", |
||
| 448 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 449 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 450 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 451 | " yielded = next(result)\n", |
||
| 452 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 453 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 454 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 455 | " yielded = next(result)\n", |
||
| 456 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 457 | " user_expressions, allow_stdin,\n", |
||
| 458 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 459 | " yielded = next(result)\n", |
||
| 460 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 461 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 462 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 463 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 464 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 465 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 466 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 467 | " return runner(coro)\n", |
||
| 468 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 469 | " coro.send(None)\n", |
||
| 470 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 471 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 472 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 473 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 474 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 475 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 476 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 477 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 478 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 165, in learner\n", |
||
| 479 | " helper.logger.info(f'Train loss: {train_loss} Accuracy: {train_acc}')\n", |
||
| 480 | "Message: 'Train loss: 0.5225205793976784 Accuracy: 0.7341772317886353'\n", |
||
| 481 | "Arguments: ()\n", |
||
| 482 | "--- Logging error ---\n", |
||
| 483 | "Traceback (most recent call last):\n", |
||
| 484 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 485 | " self.doRollover()\n", |
||
| 486 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 487 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 488 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 489 | " os.rename(source, dest)\n", |
||
| 490 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 491 | "Call stack:\n", |
||
| 492 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 493 | " \"__main__\", mod_spec)\n", |
||
| 494 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 495 | " exec(code, run_globals)\n", |
||
| 496 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 497 | " app.launch_new_instance()\n", |
||
| 498 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 499 | " app.start()\n", |
||
| 500 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 501 | " self.io_loop.start()\n", |
||
| 502 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 503 | " self.asyncio_loop.run_forever()\n", |
||
| 504 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 505 | " self._run_once()\n", |
||
| 506 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 507 | " handle._run()\n", |
||
| 508 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 509 | " self._context.run(self._callback, *self._args)\n", |
||
| 510 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 511 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 512 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 513 | " ret = callback()\n", |
||
| 514 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 515 | " self.run()\n", |
||
| 516 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 517 | " yielded = self.gen.send(value)\n", |
||
| 518 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 519 | " yield self.process_one()\n", |
||
| 520 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 521 | " runner = Runner(result, future, yielded)\n", |
||
| 522 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 523 | " self.run()\n", |
||
| 524 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 525 | " yielded = self.gen.send(value)\n", |
||
| 526 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 527 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 528 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 529 | " yielded = next(result)\n", |
||
| 530 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 531 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 532 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 533 | " yielded = next(result)\n", |
||
| 534 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 535 | " user_expressions, allow_stdin,\n", |
||
| 536 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 537 | " yielded = next(result)\n", |
||
| 538 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 539 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 540 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 541 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 542 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 543 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 544 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 545 | " return runner(coro)\n", |
||
| 546 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 547 | " coro.send(None)\n", |
||
| 548 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 549 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 550 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 551 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 552 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 553 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 554 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 555 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 556 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 175, in learner\n", |
||
| 557 | " helper.logger.info(f'Valid loss: {val_loss} Accuracy: {val_acc}')\n", |
||
| 558 | "Message: 'Valid loss: 0.7080000042915344 Accuracy: 0.5555555820465088'\n", |
||
| 559 | "Arguments: ()\n", |
||
| 560 | "--- Logging error ---\n", |
||
| 561 | "Traceback (most recent call last):\n", |
||
| 562 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 563 | " self.doRollover()\n", |
||
| 564 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 565 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 566 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 567 | " os.rename(source, dest)\n", |
||
| 568 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 569 | "Call stack:\n", |
||
| 570 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 571 | " \"__main__\", mod_spec)\n", |
||
| 572 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 573 | " exec(code, run_globals)\n", |
||
| 574 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 575 | " app.launch_new_instance()\n", |
||
| 576 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 577 | " app.start()\n", |
||
| 578 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 579 | " self.io_loop.start()\n", |
||
| 580 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 581 | " self.asyncio_loop.run_forever()\n", |
||
| 582 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 583 | " self._run_once()\n", |
||
| 584 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 585 | " handle._run()\n", |
||
| 586 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 587 | " self._context.run(self._callback, *self._args)\n", |
||
| 588 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 589 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 590 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 591 | " ret = callback()\n", |
||
| 592 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 593 | " self.run()\n", |
||
| 594 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 595 | " yielded = self.gen.send(value)\n", |
||
| 596 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 597 | " yield self.process_one()\n", |
||
| 598 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 599 | " runner = Runner(result, future, yielded)\n", |
||
| 600 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 601 | " self.run()\n", |
||
| 602 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 603 | " yielded = self.gen.send(value)\n", |
||
| 604 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 605 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 606 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 607 | " yielded = next(result)\n", |
||
| 608 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 609 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 610 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 611 | " yielded = next(result)\n", |
||
| 612 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 613 | " user_expressions, allow_stdin,\n", |
||
| 614 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 615 | " yielded = next(result)\n", |
||
| 616 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 617 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 618 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 619 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 620 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 621 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 622 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 623 | " return runner(coro)\n", |
||
| 624 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 625 | " coro.send(None)\n", |
||
| 626 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 627 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 628 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 629 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 630 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 631 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 632 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 633 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 634 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 152, in learner\n", |
||
| 635 | " helper.logger.info(f'Epoch {epoch + 1}/{n_epochs}')\n", |
||
| 636 | "Message: 'Epoch 2/10'\n", |
||
| 637 | "Arguments: ()\n", |
||
| 638 | "--- Logging error ---\n", |
||
| 639 | "Traceback (most recent call last):\n", |
||
| 640 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 641 | " self.doRollover()\n", |
||
| 642 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 643 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 644 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 645 | " os.rename(source, dest)\n", |
||
| 646 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 647 | "Call stack:\n", |
||
| 648 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 649 | " \"__main__\", mod_spec)\n", |
||
| 650 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 651 | " exec(code, run_globals)\n", |
||
| 652 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 653 | " app.launch_new_instance()\n", |
||
| 654 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 655 | " app.start()\n", |
||
| 656 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 657 | " self.io_loop.start()\n", |
||
| 658 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 659 | " self.asyncio_loop.run_forever()\n", |
||
| 660 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 661 | " self._run_once()\n", |
||
| 662 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 663 | " handle._run()\n", |
||
| 664 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 665 | " self._context.run(self._callback, *self._args)\n", |
||
| 666 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 667 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 668 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 669 | " ret = callback()\n", |
||
| 670 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 671 | " self.run()\n", |
||
| 672 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 673 | " yielded = self.gen.send(value)\n", |
||
| 674 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 675 | " yield self.process_one()\n", |
||
| 676 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 677 | " runner = Runner(result, future, yielded)\n", |
||
| 678 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 679 | " self.run()\n", |
||
| 680 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 681 | " yielded = self.gen.send(value)\n", |
||
| 682 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 683 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 684 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 685 | " yielded = next(result)\n", |
||
| 686 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 687 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 688 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 689 | " yielded = next(result)\n", |
||
| 690 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 691 | " user_expressions, allow_stdin,\n", |
||
| 692 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 693 | " yielded = next(result)\n", |
||
| 694 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 695 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 696 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 697 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 698 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 699 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 700 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 701 | " return runner(coro)\n", |
||
| 702 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 703 | " coro.send(None)\n", |
||
| 704 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 705 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 706 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 707 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 708 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 709 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 710 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 711 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 712 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 153, in learner\n", |
||
| 713 | " helper.logger.info('-' * 10)\n", |
||
| 714 | "Message: '----------'\n", |
||
| 715 | "Arguments: ()\n", |
||
| 716 | "--- Logging error ---\n", |
||
| 717 | "Traceback (most recent call last):\n", |
||
| 718 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 719 | " self.doRollover()\n", |
||
| 720 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 721 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 722 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 723 | " os.rename(source, dest)\n", |
||
| 724 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 725 | "Call stack:\n", |
||
| 726 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 727 | " \"__main__\", mod_spec)\n", |
||
| 728 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 729 | " exec(code, run_globals)\n", |
||
| 730 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 731 | " app.launch_new_instance()\n", |
||
| 732 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 733 | " app.start()\n", |
||
| 734 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 735 | " self.io_loop.start()\n", |
||
| 736 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 737 | " self.asyncio_loop.run_forever()\n", |
||
| 738 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 739 | " self._run_once()\n", |
||
| 740 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 741 | " handle._run()\n", |
||
| 742 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 743 | " self._context.run(self._callback, *self._args)\n", |
||
| 744 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 745 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 746 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 747 | " ret = callback()\n", |
||
| 748 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 749 | " self.run()\n", |
||
| 750 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 751 | " yielded = self.gen.send(value)\n", |
||
| 752 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 753 | " yield self.process_one()\n", |
||
| 754 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 755 | " runner = Runner(result, future, yielded)\n", |
||
| 756 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 757 | " self.run()\n", |
||
| 758 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 759 | " yielded = self.gen.send(value)\n", |
||
| 760 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 761 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 762 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 763 | " yielded = next(result)\n", |
||
| 764 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 765 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 766 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 767 | " yielded = next(result)\n", |
||
| 768 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 769 | " user_expressions, allow_stdin,\n", |
||
| 770 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 771 | " yielded = next(result)\n", |
||
| 772 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 773 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 774 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 775 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 776 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 777 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 778 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 779 | " return runner(coro)\n", |
||
| 780 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 781 | " coro.send(None)\n", |
||
| 782 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 783 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 784 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 785 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 786 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 787 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 788 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 789 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 790 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 165, in learner\n", |
||
| 791 | " helper.logger.info(f'Train loss: {train_loss} Accuracy: {train_acc}')\n", |
||
| 792 | "Message: 'Train loss: 0.3280406277626753 Accuracy: 0.8607594966888428'\n", |
||
| 793 | "Arguments: ()\n", |
||
| 794 | "--- Logging error ---\n", |
||
| 795 | "Traceback (most recent call last):\n", |
||
| 796 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 797 | " self.doRollover()\n", |
||
| 798 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 799 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 800 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 801 | " os.rename(source, dest)\n", |
||
| 802 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 803 | "Call stack:\n", |
||
| 804 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 805 | " \"__main__\", mod_spec)\n", |
||
| 806 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 807 | " exec(code, run_globals)\n", |
||
| 808 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 809 | " app.launch_new_instance()\n", |
||
| 810 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 811 | " app.start()\n", |
||
| 812 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 813 | " self.io_loop.start()\n", |
||
| 814 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 815 | " self.asyncio_loop.run_forever()\n", |
||
| 816 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 817 | " self._run_once()\n", |
||
| 818 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 819 | " handle._run()\n", |
||
| 820 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 821 | " self._context.run(self._callback, *self._args)\n", |
||
| 822 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 823 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 824 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 825 | " ret = callback()\n", |
||
| 826 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 827 | " self.run()\n", |
||
| 828 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 829 | " yielded = self.gen.send(value)\n", |
||
| 830 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 831 | " yield self.process_one()\n", |
||
| 832 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 833 | " runner = Runner(result, future, yielded)\n", |
||
| 834 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 835 | " self.run()\n", |
||
| 836 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 837 | " yielded = self.gen.send(value)\n", |
||
| 838 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 839 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 840 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 841 | " yielded = next(result)\n", |
||
| 842 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 843 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 844 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 845 | " yielded = next(result)\n", |
||
| 846 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 847 | " user_expressions, allow_stdin,\n", |
||
| 848 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 849 | " yielded = next(result)\n", |
||
| 850 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 851 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 852 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 853 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 854 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 855 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 856 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 857 | " return runner(coro)\n", |
||
| 858 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 859 | " coro.send(None)\n", |
||
| 860 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 861 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 862 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 863 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 864 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 865 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 866 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 867 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 868 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 175, in learner\n", |
||
| 869 | " helper.logger.info(f'Valid loss: {val_loss} Accuracy: {val_acc}')\n", |
||
| 870 | "Message: 'Valid loss: 0.8643777370452881 Accuracy: 0.5555555820465088'\n", |
||
| 871 | "Arguments: ()\n", |
||
| 872 | "--- Logging error ---\n", |
||
| 873 | "Traceback (most recent call last):\n", |
||
| 874 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 875 | " self.doRollover()\n", |
||
| 876 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 877 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 878 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 879 | " os.rename(source, dest)\n", |
||
| 880 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 881 | "Call stack:\n", |
||
| 882 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 883 | " \"__main__\", mod_spec)\n", |
||
| 884 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 885 | " exec(code, run_globals)\n", |
||
| 886 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 887 | " app.launch_new_instance()\n", |
||
| 888 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 889 | " app.start()\n", |
||
| 890 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 891 | " self.io_loop.start()\n", |
||
| 892 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 893 | " self.asyncio_loop.run_forever()\n", |
||
| 894 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 895 | " self._run_once()\n", |
||
| 896 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 897 | " handle._run()\n", |
||
| 898 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 899 | " self._context.run(self._callback, *self._args)\n", |
||
| 900 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 901 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 902 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 903 | " ret = callback()\n", |
||
| 904 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 905 | " self.run()\n", |
||
| 906 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 907 | " yielded = self.gen.send(value)\n", |
||
| 908 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 909 | " yield self.process_one()\n", |
||
| 910 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 911 | " runner = Runner(result, future, yielded)\n", |
||
| 912 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 913 | " self.run()\n", |
||
| 914 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 915 | " yielded = self.gen.send(value)\n", |
||
| 916 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 917 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 918 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 919 | " yielded = next(result)\n", |
||
| 920 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 921 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 922 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 923 | " yielded = next(result)\n", |
||
| 924 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 925 | " user_expressions, allow_stdin,\n", |
||
| 926 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 927 | " yielded = next(result)\n", |
||
| 928 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 929 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 930 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 931 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 932 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 933 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 934 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 935 | " return runner(coro)\n", |
||
| 936 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 937 | " coro.send(None)\n", |
||
| 938 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 939 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 940 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 941 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 942 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 943 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 944 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 945 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 946 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 152, in learner\n", |
||
| 947 | " helper.logger.info(f'Epoch {epoch + 1}/{n_epochs}')\n", |
||
| 948 | "Message: 'Epoch 3/10'\n", |
||
| 949 | "Arguments: ()\n", |
||
| 950 | "--- Logging error ---\n", |
||
| 951 | "Traceback (most recent call last):\n", |
||
| 952 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 69, in emit\n", |
||
| 953 | " self.doRollover()\n", |
||
| 954 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 393, in doRollover\n", |
||
| 955 | " self.rotate(self.baseFilename, dfn)\n", |
||
| 956 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\logging\\handlers.py\", line 110, in rotate\n", |
||
| 957 | " os.rename(source, dest)\n", |
||
| 958 | "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log' -> 'C:\\\\Peter Moss AML Leukemia Research\\\\ALL-PyTorch-2020\\\\Classifier\\\\Logs\\\\all.log.2020-12-30_00'\n", |
||
| 959 | "Call stack:\n", |
||
| 960 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 193, in _run_module_as_main\n", |
||
| 961 | " \"__main__\", mod_spec)\n", |
||
| 962 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\runpy.py\", line 85, in _run_code\n", |
||
| 963 | " exec(code, run_globals)\n", |
||
| 964 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n", |
||
| 965 | " app.launch_new_instance()\n", |
||
| 966 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n", |
||
| 967 | " app.start()\n", |
||
| 968 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n", |
||
| 969 | " self.io_loop.start()\n", |
||
| 970 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 148, in start\n", |
||
| 971 | " self.asyncio_loop.run_forever()\n", |
||
| 972 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 539, in run_forever\n", |
||
| 973 | " self._run_once()\n", |
||
| 974 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\base_events.py\", line 1775, in _run_once\n", |
||
| 975 | " handle._run()\n", |
||
| 976 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\asyncio\\events.py\", line 88, in _run\n", |
||
| 977 | " self._context.run(self._callback, *self._args)\n", |
||
| 978 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 690, in <lambda>\n", |
||
| 979 | " lambda f: self._run_callback(functools.partial(callback, future))\n", |
||
| 980 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\ioloop.py\", line 743, in _run_callback\n", |
||
| 981 | " ret = callback()\n", |
||
| 982 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 787, in inner\n", |
||
| 983 | " self.run()\n", |
||
| 984 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 985 | " yielded = self.gen.send(value)\n", |
||
| 986 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 378, in dispatch_queue\n", |
||
| 987 | " yield self.process_one()\n", |
||
| 988 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 225, in wrapper\n", |
||
| 989 | " runner = Runner(result, future, yielded)\n", |
||
| 990 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 714, in __init__\n", |
||
| 991 | " self.run()\n", |
||
| 992 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 748, in run\n", |
||
| 993 | " yielded = self.gen.send(value)\n", |
||
| 994 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 365, in process_one\n", |
||
| 995 | " yield gen.maybe_future(dispatch(*args))\n", |
||
| 996 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 997 | " yielded = next(result)\n", |
||
| 998 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 272, in dispatch_shell\n", |
||
| 999 | " yield gen.maybe_future(handler(stream, idents, msg))\n", |
||
| 1000 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 1001 | " yielded = next(result)\n", |
||
| 1002 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 542, in execute_request\n", |
||
| 1003 | " user_expressions, allow_stdin,\n", |
||
| 1004 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\tornado\\gen.py\", line 209, in wrapper\n", |
||
| 1005 | " yielded = next(result)\n", |
||
| 1006 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n", |
||
| 1007 | " res = shell.run_cell(code, store_history=store_history, silent=silent)\n", |
||
| 1008 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n", |
||
| 1009 | " return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n", |
||
| 1010 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2854, in run_cell\n", |
||
| 1011 | " raw_cell, store_history, silent, shell_futures)\n", |
||
| 1012 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2880, in _run_cell\n", |
||
| 1013 | " return runner(coro)\n", |
||
| 1014 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n", |
||
| 1015 | " coro.send(None)\n", |
||
| 1016 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3057, in run_cell_async\n", |
||
| 1017 | " interactivity=interactivity, compiler=compiler, result=result)\n", |
||
| 1018 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3248, in run_ast_nodes\n", |
||
| 1019 | " if (await self.run_code(code, result, async_=asy)):\n", |
||
| 1020 | " File \"C:\\Users\\Allen\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3325, in run_code\n", |
||
| 1021 | " exec(code_obj, self.user_global_ns, self.user_ns)\n", |
||
| 1022 | " File \"<ipython-input-9-afcd5a747e46>\", line 7, in <module>\n", |
||
| 1023 | " train_on_gpu=True, n_epochs=epochs)\n", |
||
| 1024 | " File \"C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\", line 153, in learner\n", |
||
| 1025 | " helper.logger.info('-' * 10)\n", |
||
| 1026 | "Message: '----------'\n", |
||
| 1027 | "Arguments: ()\n" |
||
| 1028 | ] |
||
| 1029 | }, |
||
| 1030 | { |
||
| 1031 | "ename": "KeyboardInterrupt", |
||
| 1032 | "evalue": "", |
||
| 1033 | "output_type": "error", |
||
| 1034 | "traceback": [ |
||
| 1035 | "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", |
||
| 1036 | "\u001B[1;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)", |
||
| 1037 | "\u001B[1;32m<ipython-input-9-afcd5a747e46>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m 5\u001B[0m \u001B[0mcriterion\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mtrain_size\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 6\u001B[0m \u001B[0mvalid_size\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m----> 7\u001B[1;33m train_on_gpu=True, n_epochs=epochs)\n\u001B[0m\u001B[0;32m 8\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1038 | "\u001B[1;32mC:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\u001B[0m in \u001B[0;36mlearner\u001B[1;34m(model, train_data_loader, valid_data_loader, optimizer, scheduler, loss_function, trainset_size, validset_size, train_on_gpu, n_epochs)\u001B[0m\n\u001B[0;32m 160\u001B[0m \u001B[0mscheduler\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 161\u001B[0m \u001B[0mtrainset_size\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 162\u001B[1;33m \u001B[0mtrain_on_gpu\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 163\u001B[0m )\n\u001B[0;32m 164\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1039 | "\u001B[1;32mC:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Model_2020.py\u001B[0m in \u001B[0;36mtrain_epoch\u001B[1;34m(model, data_loader, loss_function, optimizer, scheduler, trainset_size, train_on_gpu)\u001B[0m\n\u001B[0;32m 73\u001B[0m \u001B[0mcorrect_predictions\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;36m0\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 74\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 75\u001B[1;33m \u001B[1;32mfor\u001B[0m \u001B[0mi\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mdataset\u001B[0m \u001B[1;32min\u001B[0m \u001B[0menumerate\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata_loader\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 76\u001B[0m \u001B[0minputs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mlabels\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mdataset\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 77\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mtrain_on_gpu\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1040 | "\u001B[1;32m~\\Anaconda3\\lib\\site-packages\\torch\\utils\\data\\dataloader.py\u001B[0m in \u001B[0;36m__next__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 344\u001B[0m \u001B[1;32mdef\u001B[0m \u001B[0m__next__\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 345\u001B[0m \u001B[0mindex\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_next_index\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;31m# may raise StopIteration\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 346\u001B[1;33m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_dataset_fetcher\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfetch\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mindex\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;31m# may raise StopIteration\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 347\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_pin_memory\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 348\u001B[0m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0m_utils\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpin_memory\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpin_memory\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1041 | "\u001B[1;32m~\\Anaconda3\\lib\\site-packages\\torch\\utils\\data\\_utils\\fetch.py\u001B[0m in \u001B[0;36mfetch\u001B[1;34m(self, possibly_batched_index)\u001B[0m\n\u001B[0;32m 42\u001B[0m \u001B[1;32mdef\u001B[0m \u001B[0mfetch\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 43\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mauto_collation\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 44\u001B[1;33m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;33m[\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdataset\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0midx\u001B[0m\u001B[1;33m]\u001B[0m \u001B[1;32mfor\u001B[0m \u001B[0midx\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 45\u001B[0m \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 46\u001B[0m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdataset\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1042 | "\u001B[1;32m~\\Anaconda3\\lib\\site-packages\\torch\\utils\\data\\_utils\\fetch.py\u001B[0m in \u001B[0;36m<listcomp>\u001B[1;34m(.0)\u001B[0m\n\u001B[0;32m 42\u001B[0m \u001B[1;32mdef\u001B[0m \u001B[0mfetch\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 43\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mauto_collation\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 44\u001B[1;33m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;33m[\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdataset\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0midx\u001B[0m\u001B[1;33m]\u001B[0m \u001B[1;32mfor\u001B[0m \u001B[0midx\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 45\u001B[0m \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 46\u001B[0m \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdataset\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mpossibly_batched_index\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1043 | "\u001B[1;32mC:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Classes\\Data.py\u001B[0m in \u001B[0;36m__getitem__\u001B[1;34m(self, index)\u001B[0m\n\u001B[0;32m 46\u001B[0m \u001B[0mimg_name\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mlabel\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdf\u001B[0m\u001B[1;33m[\u001B[0m\u001B[0mindex\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 47\u001B[0m \u001B[0mimg_path\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mos\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpath\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mjoin\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdata_dir\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mimg_name\u001B[0m \u001B[1;33m+\u001B[0m \u001B[1;34m'.jpg'\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 48\u001B[1;33m \u001B[0mimage\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mImage\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mopen\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mimg_path\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 49\u001B[0m \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform\u001B[0m \u001B[1;32mis\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 50\u001B[0m \u001B[0mimage\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mimage\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1044 | "\u001B[1;32m~\\Anaconda3\\lib\\site-packages\\PIL\\Image.py\u001B[0m in \u001B[0;36mopen\u001B[1;34m(fp, mode)\u001B[0m\n\u001B[0;32m 2777\u001B[0m \u001B[0mexclusive_fp\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;32mTrue\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 2778\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2779\u001B[1;33m \u001B[0mprefix\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mfp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mread\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;36m16\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m 2780\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m 2781\u001B[0m \u001B[0mpreinit\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n", |
||
| 1045 | "\u001B[1;31mKeyboardInterrupt\u001B[0m: " |
||
| 1046 | ] |
||
| 1047 | } |
||
| 1048 | ], |
||
| 1049 | "source": [ |
||
| 1050 | "# begin training\n", |
||
| 1051 | "real_model, history = learner(model, train_data_loader,\n", |
||
| 1052 | " valid_data_loader,\n", |
||
| 1053 | " optimizer, scheduler,\n", |
||
| 1054 | " criterion, train_size,\n", |
||
| 1055 | " valid_size,\n", |
||
| 1056 | " train_on_gpu=True, n_epochs=epochs)" |
||
| 1057 | ] |
||
| 1058 | }, |
||
| 1059 | { |
||
| 1060 | "cell_type": "code", |
||
| 1061 | "execution_count": null, |
||
| 1062 | "metadata": {}, |
||
| 1063 | "outputs": [], |
||
| 1064 | "source": [ |
||
| 1065 | "# plot model loss and accuracy\n", |
||
| 1066 | "plot_training_history(history, save_path=acc_loss_png)" |
||
| 1067 | ] |
||
| 1068 | }, |
||
| 1069 | { |
||
| 1070 | "cell_type": "code", |
||
| 1071 | "execution_count": null, |
||
| 1072 | "metadata": {}, |
||
| 1073 | "outputs": [], |
||
| 1074 | "source": [ |
||
| 1075 | "# Get model prediction\n", |
||
| 1076 | "y_pred, y_test = get_predictions(real_model,valid_data_loader)\n", |
||
| 1077 | "# Get model precision, recall and f1_score\n", |
||
| 1078 | "helper.logger.info(classification_report(y_test, y_pred, target_names=class_name))" |
||
| 1079 | ] |
||
| 1080 | }, |
||
| 1081 | { |
||
| 1082 | "cell_type": "code", |
||
| 1083 | "execution_count": null, |
||
| 1084 | "metadata": {}, |
||
| 1085 | "outputs": [], |
||
| 1086 | "source": [ |
||
| 1087 | "# Get model confusion matrix\n", |
||
| 1088 | "cm = confusion_matrix(y_test, y_pred)\n", |
||
| 1089 | "confusion_matrix2(cm, class_name,save_path=confusion_png)" |
||
| 1090 | ] |
||
| 1091 | }, |
||
| 1092 | { |
||
| 1093 | "cell_type": "code", |
||
| 1094 | "execution_count": null, |
||
| 1095 | "metadata": {}, |
||
| 1096 | "outputs": [], |
||
| 1097 | "source": [ |
||
| 1098 | "prediction = predict_probability(real_model,validation_transforms, 'C:\\Peter Moss AML Leukemia Research\\ALL-PyTorch-2020\\Classifier\\Model\\Data\\Test\\Im047_0.jpg')" |
||
| 1099 | ] |
||
| 1100 | }, |
||
| 1101 | { |
||
| 1102 | "cell_type": "code", |
||
| 1103 | "execution_count": null, |
||
| 1104 | "metadata": {}, |
||
| 1105 | "outputs": [], |
||
| 1106 | "source": [ |
||
| 1107 | "prediction" |
||
| 1108 | ] |
||
| 1109 | }, |
||
| 1110 | { |
||
| 1111 | "cell_type": "code", |
||
| 1112 | "execution_count": null, |
||
| 1113 | "metadata": {}, |
||
| 1114 | "outputs": [], |
||
| 1115 | "source": [ |
||
| 1116 | "show_prediction_confidence(prediction, class_name)" |
||
| 1117 | ] |
||
| 1118 | }, |
||
| 1119 | { |
||
| 1120 | "cell_type": "markdown", |
||
| 1121 | "metadata": {}, |
||
| 1122 | "source": [ |
||
| 1123 | "Model Interpretation" |
||
| 1124 | ] |
||
| 1125 | }, |
||
| 1126 | { |
||
| 1127 | "cell_type": "code", |
||
| 1128 | "execution_count": null, |
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| 1129 | "metadata": {}, |
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| 1130 | "outputs": [], |
||
| 1131 | "source": [ |
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| 1132 | "#prediction = predict_probability(real_model, validation_transforms, image_path)\n", |
||
| 1133 | "interpret_model(real_model,validation_transforms, image_path, label_idx, use_cpu=True, intrepret_type=\"integrated gradients\")\n", |
||
| 1134 | "interpret_model(real_model,validation_transforms, image_path, label_idx, use_cpu=True, intrepret_type=\"gradient shap\")\n", |
||
| 1135 | "interpret_model(real_model,validation_transforms, image_path, label_idx, use_cpu=True, intrepret_type=\"saliency\")\n", |
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| 1136 | "\n", |
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| 1137 | "interpret_model(real_model,validation_transforms, image_path2, label_idx, use_cpu=True, intrepret_type=\"integrated gradients\")\n", |
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| 1138 | "interpret_model(real_model,validation_transforms, image_path2, label_idx, use_cpu=True, intrepret_type=\"gradient shap\")\n", |
||
| 1139 | "interpret_model(real_model,validation_transforms, image_path2, label_idx, use_cpu=True, intrepret_type=\"saliency\")" |
||
| 1140 | ] |
||
| 1141 | }, |
||
| 1142 | { |
||
| 1143 | "cell_type": "code", |
||
| 1144 | "execution_count": null, |
||
| 1145 | "metadata": {}, |
||
| 1146 | "outputs": [], |
||
| 1147 | "source": [ |
||
| 1148 | "#train data directory\n", |
||
| 1149 | "test_dir = 'C:/Peter Moss AML Leukemia Research/Dataset/all_test/'\n", |
||
| 1150 | "test_csv = 'C:/Peter Moss AML Leukemia Research/Dataset/test.csv'\n", |
||
| 1151 | "label_csv = pd.read_csv(test_csv)\n", |
||
| 1152 | "testset = LeukemiaDataset(df_data=label_csv, data_dir=test_dir, transform=validation_transforms)\n", |
||
| 1153 | "test_data_loader = DataLoader(testset, batch_size=batch_size, shuffle=True)\n", |
||
| 1154 | "show_predictions(model=real_model, class_names=class_name, test_data_loader=test_data_loader, n_images=6)" |
||
| 1155 | ] |
||
| 1156 | }, |
||
| 1157 | { |
||
| 1158 | "cell_type": "code", |
||
| 1159 | "execution_count": null, |
||
| 1160 | "metadata": {}, |
||
| 1161 | "outputs": [], |
||
| 1162 | "source": [] |
||
| 1163 | } |
||
| 1164 | ], |
||
| 1165 | "metadata": { |
||
| 1166 | "kernelspec": { |
||
| 1167 | "display_name": "Python 3", |
||
| 1168 | "language": "python", |
||
| 1169 | "name": "python3" |
||
| 1170 | }, |
||
| 1171 | "language_info": { |
||
| 1172 | "codemirror_mode": { |
||
| 1173 | "name": "ipython", |
||
| 1174 | "version": 3 |
||
| 1175 | }, |
||
| 1176 | "file_extension": ".py", |
||
| 1177 | "mimetype": "text/x-python", |
||
| 1178 | "name": "python", |
||
| 1179 | "nbconvert_exporter": "python", |
||
| 1180 | "pygments_lexer": "ipython3", |
||
| 1181 | "version": "3.7.3" |
||
| 1182 | } |
||
| 1183 | }, |
||
| 1184 | "nbformat": 4, |
||
| 1185 | "nbformat_minor": 4 |
||
| 1186 | } |