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Last active October 16, 2018 03:29
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dogs_cats.ipynb
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{
"cells": [
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# Put these at the top of every notebook, to get automatic reloading and inline plotting\n%reload_ext autoreload\n%autoreload 2\n%matplotlib inline\nfrom IPython.core.interactiveshell import InteractiveShell\n# pretty print all cell's output and not just the last one\n# InteractiveShell.ast_node_interactivity = \"all\"\n",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"scrolled": true,
"trusted": true
},
"cell_type": "code",
"source": "# This file contains all the main external libs we'll use\nfrom fastai.imports import *\nfrom fastai.imports import *\nfrom fastai.vision import *\nfrom fastai.vision.learner import *\nimport torchvision.models as tvm\nfrom fastai.metrics import accuracy",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import fastai",
"execution_count": 3,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "fastai",
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 4,
"data": {
"text/plain": "<module 'fastai' from '/home/nok_chan/fastai/courses/dl1/fastai/__init__.py'>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import os\nfrom pathlib import Path\nimport torch\nfrom matplotlib import pyplot as plt",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# Remove the symlink to the old fasti, link to new fastai instead\n# !rm fastai\n# !ln -s ../../fastai fastai",
"execution_count": 6,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# !wget http://files.fast.ai/data/dogscats.zip -P data\n# !unzip data/dogscats.zip",
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "PATH = Path('data/dogscats/sample')\nsz=224",
"execution_count": 8,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "torch.cuda.is_available()\ntorch.backends.cudnn.enabled",
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 9,
"data": {
"text/plain": "True"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Note"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "1. Cannot find precompute option? In the old fastai, there is used to be a precompute option. \n`learn = ConvLearner.pretrained(arch, data, precompute=True)`\n\n\n2. NaN Loss? \n\n ```learner = ConvLearner(data, tvm.resnet18, metrics=[accuracy])\n learner.fit_one_cycle(1,1e-3)```\n\n Total time: 02:05\n epoch train loss valid loss accuracy\n 0 nan nan 0.500000 (02:05) \n"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Take a look at data"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "os.listdir(PATH)\nos.listdir(PATH/'valid')",
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 10,
"data": {
"text/plain": "['features.npy', 'dogs', 'labels.npy', 'cats']"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "files = os.listdir(PATH/'valid/cats')[:5]\nfiles",
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 11,
"data": {
"text/plain": "['cat.5202.jpg', 'cat.10435.jpg', 'cat.4319.jpg', 'cat.4785.jpg']"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "img = open_image(PATH/f'valid/cats/{files[0]}')\nimg",
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 12,
"data": {
"text/plain": "Image (3, 225, 299)",
"image/png": 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\n",
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\n"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "_,axs = plt.subplots(1,4,figsize=(12,4))\nfor i,ax in enumerate(axs): \n img = open_image(PATH/f'valid/cats/{files[i]}') \n img.show(ax=ax, title=f'Image {i+1}')",
"execution_count": 13,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 864x288 with 4 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Model"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "arch = tvm.resnet34\ndata = image_data_from_folder(PATH, ds_tfms=get_transforms(do_flip=False, max_warp=0), size=sz)",
"execution_count": 14,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# MNIST_PATH = Path('data/mnist_sample')\n# arch = tvm.resnet34\n# data = image_data_from_folder(MNIST_PATH, ds_tfms=get_transforms(do_flip=False, max_warp=0), size=sz)\n\n# !tree -d $MNIST_PATH",
"execution_count": 15,
"outputs": []
},
{
"metadata": {
"scrolled": true,
"trusted": true
},
"cell_type": "code",
"source": "!tree -d $PATH",
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"text": "\u001b[01;34mdata/dogscats/sample\u001b[00m\r\n├── \u001b[01;34mmodels\u001b[00m\r\n├── \u001b[01;34mtrain\u001b[00m\r\n│   ├── \u001b[01;34mcats\u001b[00m\r\n│   └── \u001b[01;34mdogs\u001b[00m\r\n└── \u001b[01;34mvalid\u001b[00m\r\n ├── \u001b[01;34mcats\u001b[00m\r\n └── \u001b[01;34mdogs\u001b[00m\r\n\r\n7 directories\r\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner = ConvLearner(data, arch, metrics=[accuracy])\nlearner.lr_find() # The classic learning rate finder",
"execution_count": 17,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0), HTML(value='0.00% [0/100 00:00<00:00]'))), HTML(value='epo…",
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "d96e8698e5014deeaf29b9b8220ff9f6"
}
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner.recorder.plot()",
"execution_count": 18,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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fGyb83W8C+yLwiiSzSW6rqnPArwKfBU4Dn6iqByY5pyQttt76tWHezilJ6seGueKXJPXD8EtSYwy/JDXG8EtSYwy/JDXG8EtSYwy/JDXG8EtSYwy/JDXmfwHQFOmIGHW1dgAAAABJRU5ErkJggg==\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner.fit_one_cycle(1)",
"execution_count": 19,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, max=1), HTML(value='0.00% [0/1 00:00<00:00]'))), HTML(value…",
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "db1070fd038e456eb47554c465334b06"
}
},
"metadata": {}
},
{
"output_type": "error",
"ename": "ZeroDivisionError",
"evalue": "division by zero",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-19-158e79851ed2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlearner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_one_cycle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/fastai/courses/dl1/fastai/train.py\u001b[0m in \u001b[0;36mfit_one_cycle\u001b[0;34m(learn, cyc_len, max_lr, moms, div_factor, pct_start, wd, **kwargs)\u001b[0m\n\u001b[1;32m 16\u001b[0m cbs = [OneCycleScheduler(learn, max_lr, moms=moms, div_factor=div_factor,\n\u001b[1;32m 17\u001b[0m pct_start=pct_start, **kwargs)]\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcyc_len\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mlr_find\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mLearner\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_lr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_lr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_it\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, epochs, lr, wd, callbacks)\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0mcallbacks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mcb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallback_fns\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mlistify\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 137\u001b[0m fit(epochs, self.model, self.loss_fn, opt=self.opt, data=self.data, metrics=self.metrics,\n\u001b[0;32m--> 138\u001b[0;31m callbacks=self.callbacks+callbacks)\n\u001b[0m\u001b[1;32m 139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcreate_opt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwd\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(epochs, model, loss_fn, opt, data, callbacks, metrics)\u001b[0m\n\u001b[1;32m 89\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0mexception\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 91\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 92\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexception\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(epochs, model, loss_fn, opt, data, callbacks, metrics)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloss_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_batch_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 83\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 84\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'valid_dl'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalid_dl\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/callback.py\u001b[0m in \u001b[0;36mon_batch_end\u001b[0;34m(self, loss)\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[0;34m\"Handle end of processing one batch with `loss`.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 230\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'last_loss'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 231\u001b[0;31m \u001b[0mstop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'batch_end'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 232\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'train'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 233\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'iteration'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/callback.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, cb_name, **kwargs)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;34m\"Call through to all of the `CallbakHandler` functions.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34mf'on_{cb_name}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mon_train_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpbar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mPBar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mMetricFuncList\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/callback.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;34m\"Call through to all of the `CallbakHandler` functions.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34mf'on_{cb_name}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mon_train_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpbar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mPBar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mMetricFuncList\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/callbacks/one_cycle.py\u001b[0m in \u001b[0;36mon_batch_end\u001b[0;34m(self, train, **kwargs)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0midx_s\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlr_scheds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlr_scheds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0midx_s\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 44\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmom\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmom_scheds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0midx_s\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0;31m# when the current schedule is complete we move onto the next\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/callback.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 279\u001b[0m \u001b[0;34m\"Return next value along annealed schedule.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 280\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 281\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn_iter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 282\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 283\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
]
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "markdown",
"source": "# Model With Whole Dataset"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "PATH = Path('data/dogscats/')\nsz=224",
"execution_count": 20,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "arch = tvm.resnet34\ndata = image_data_from_folder(PATH, ds_tfms=get_transforms(do_flip=False, max_warp=0), size=sz)",
"execution_count": 21,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# MNIST_PATH = Path('data/mnist_sample')\n# arch = tvm.resnet34\n# data = image_data_from_folder(MNIST_PATH, ds_tfms=get_transforms(do_flip=False, max_warp=0), size=sz)\n\n# !tree -d $MNIST_PATH",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"scrolled": true,
"trusted": true
},
"cell_type": "code",
"source": "!tree -d $PATH",
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"text": "\u001b[01;34mdata/dogscats\u001b[00m\n├── \u001b[01;34mmodels\u001b[00m\n├── \u001b[01;34msample\u001b[00m\n│   ├── \u001b[01;34mmodels\u001b[00m\n│   ├── \u001b[01;34mtrain\u001b[00m\n│   │   ├── \u001b[01;34mcats\u001b[00m\n│   │   └── \u001b[01;34mdogs\u001b[00m\n│   └── \u001b[01;34mvalid\u001b[00m\n│   ├── \u001b[01;34mcats\u001b[00m\n│   └── \u001b[01;34mdogs\u001b[00m\n├── \u001b[01;34mtest1\u001b[00m\n├── \u001b[01;34mtrain\u001b[00m\n│   ├── \u001b[01;34mcats\u001b[00m\n│   └── \u001b[01;34mdogs\u001b[00m\n└── \u001b[01;34mvalid\u001b[00m\n ├── \u001b[01;34mcats\u001b[00m\n └── \u001b[01;34mdogs\u001b[00m\n\n16 directories\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner = ConvLearner(data, arch, metrics=[accuracy])\nlearner.lr_find(num_it=60) # The classic learning rate finder",
"execution_count": 24,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, max=1), HTML(value='0.00% [0/1 00:00<00:00]'))), HTML(value…",
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "609ae8f4192d40408499c6e3bf469fe5"
}
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner.recorder.plot()",
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learner.fit_one_cycle(1)",
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, max=1), HTML(value='0.00% [0/1 00:00<00:00]'))), HTML(value…",
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "976581bb9644403399a95ebe96d6764c"
}
},
"metadata": {}
},
{
"output_type": "error",
"ename": "KeyboardInterrupt",
"evalue": "",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-26-158e79851ed2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlearner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_one_cycle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/fastai/courses/dl1/fastai/train.py\u001b[0m in \u001b[0;36mfit_one_cycle\u001b[0;34m(learn, cyc_len, max_lr, moms, div_factor, pct_start, wd, **kwargs)\u001b[0m\n\u001b[1;32m 16\u001b[0m cbs = [OneCycleScheduler(learn, max_lr, moms=moms, div_factor=div_factor,\n\u001b[1;32m 17\u001b[0m pct_start=pct_start, **kwargs)]\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcyc_len\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mlr_find\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mLearner\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_lr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_lr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_it\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, epochs, lr, wd, callbacks)\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0mcallbacks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mcb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallback_fns\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mlistify\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 137\u001b[0m fit(epochs, self.model, self.loss_fn, opt=self.opt, data=self.data, metrics=self.metrics,\n\u001b[0;32m--> 138\u001b[0;31m callbacks=self.callbacks+callbacks)\n\u001b[0m\u001b[1;32m 139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcreate_opt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwd\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mFloats\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(epochs, model, loss_fn, opt, data, callbacks, metrics)\u001b[0m\n\u001b[1;32m 79\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0myb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_dl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpbar\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 81\u001b[0;31m \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloss_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 82\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_batch_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/courses/dl1/fastai/basic_train.py\u001b[0m in \u001b[0;36mloss_batch\u001b[0;34m(model, xb, yb, loss_fn, opt, cb_handler, metrics)\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdetach\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcpu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmets\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_preds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdl\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mDataLoader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpbar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mPBar\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallbackHandler\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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