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Last active October 16, 2018 03:29
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dogs_cats.ipynb
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{
"cells": [
{
"metadata": {
"scrolled": true,
"trusted": true
},
"cell_type": "code",
"source": "!python -c 'import fastai; fastai.show_install(1)'",
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": "\r\n\r\n```\r\nplatform : Linux-4.9.0-8-amd64-x86_64-with-debian-9.5\r\ndistro : #1 SMP Debian 4.9.110-3+deb9u6 (2018-10-08)\r\npython : 3.6.5\r\nfastai : 1.0.6.dev0\r\ntorch : 1.0.0.dev20181009\r\nnvidia dr. : 396.44\r\ntorch cuda : 9.2.148\r\nnvcc cuda : 9.2.148\r\ntorch gpus : 1\r\n [gpu0] \r\n name : Tesla K80\r\n total mem : 11441MB\r\n\r\nTue Oct 16 02:52:01 2018 \r\n+-----------------------------------------------------------------------------+\r\n| NVIDIA-SMI 396.44 Driver Version: 396.44 |\r\n|-------------------------------+----------------------+----------------------+\r\n| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\r\n| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\r\n|===============================+======================+======================|\r\n| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |\r\n| N/A 38C P0 71W / 149W | 5012MiB / 11441MiB | 0% Default |\r\n+-------------------------------+----------------------+----------------------+\r\n \r\n+-----------------------------------------------------------------------------+\r\n| Processes: GPU Memory |\r\n| GPU PID Type Process name Usage |\r\n|=============================================================================|\r\n| 0 1003 C /opt/anaconda3/bin/python 5001MiB |\r\n+-----------------------------------------------------------------------------+\r\n\r\n```\r\n\r\nPlease make sure to include opening/closing ``` when you paste into forums/github to make the reports appear formatted as code sections.\r\n\r\nOptional package(s) to enhance the diagnostics can be installed with:\r\npip install distro\r\nOnce installed, re-run this utility to get the additional information\r\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "!wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py\n# For security purposes, please check the contents of collect_env.py before running it.\n!python collect_env.py",
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": "--2018-10-16 02:52:02-- https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py\nResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\nConnecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 10639 (10K) [text/plain]\nSaving to: ‘collect_env.py.1’\n\ncollect_env.py.1 100%[===================>] 10.39K --.-KB/s in 0s \n\n2018-10-16 02:52:02 (59.1 MB/s) - ‘collect_env.py.1’ saved [10639/10639]\n\nCollecting environment information...\nPyTorch version: 1.0.0.dev20181009\nIs debug build: No\nCUDA used to build PyTorch: 9.2.148\n\nOS: Debian GNU/Linux 9.5 (stretch)\nGCC version: (Debian 6.3.0-18+deb9u1) 6.3.0 20170516\nCMake version: Could not collect\n\nPython version: 3.6\nIs CUDA available: Yes\nCUDA runtime version: 9.2.148\nGPU models and configuration: GPU 0: Tesla K80\nNvidia driver version: 396.44\ncuDNN version: Probably one of the following:\n/usr/local/cuda-9.2/lib64/libcudnn.so.7.2.1\n/usr/local/cuda-9.2/lib64/libcudnn_static.a\n\nVersions of relevant libraries:\n[pip3] intel-numpy (1.15.1)\n[pip3] numpy (1.15.1)\n[pip3] torch-nightly (1.0.0.dev20181009)\n[pip3] torchvision (0.2.1.post2)\n[conda] cuda92 1.0 0 pytorch\n[conda] pytorch-nightly 1.0.0.dev20181009 py3.6_cuda9.2.148_cudnn7.1.4_0 [cuda92] pytorch\n[conda] torchvision 0.2.1.post2 <pip>\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import fastai",
"execution_count": 3,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "fastai.__version__",
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 4,
"data": {
"text/plain": "'1.0.6.dev0'"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import torch",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "torch.__version__",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
"text/plain": "'1.0.0.dev20181009'"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%reload_ext autoreload\n%autoreload 2\n\nfrom fastai import *\nfrom fastai.vision import *",
"execution_count": 7,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Dogs and cats"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Resnet 34"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "path = untar_data(URLs.DOGS)\npath",
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 18,
"data": {
"text/plain": "PosixPath('/home/nok_chan/fastai/examples/fastai/../data/dogscats')"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "t = get_transforms()",
"execution_count": 27,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data = ImageDataBunch.from_folder(path, ds_tfms=t, tfms=None, size=224)\n# img,label = data.valid_ds[-1]\nimg.show(title=data.classes[label])",
"execution_count": 28,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 216x216 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "learn = ConvLearner(data, tvm.resnet34, metrics=accuracy)",
"execution_count": 29,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# I know data.train_ds[42] is a problem,\n# so I just use this single image to demonstrate the issue\ndata.train_ds[42][0].data.sum()",
"execution_count": 30,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 30,
"data": {
"text/plain": "tensor(53710.0781)"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data.train_ds[42][0]",
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 31,
"data": {
"text/plain": "Image (3, 224, 224)",
"image/png": 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\n",
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\n"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# for i, j in enumerate(data.train_ds):\n# if torch.isnan(j[0].data.sum()):\n# print(i)\n ",
"execution_count": 32,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Remove max_light as suggested"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "t = get_transforms(max_lighting=0)",
"execution_count": 33,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data = ImageDataBunch.from_folder(path, ds_tfms=t, tfms=None, size=224)\n# img,label = data.valid_ds[-1]\nimg.show(title=data.classes[label])",
"execution_count": 34,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 216x216 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data.train_ds[42][0].data.sum()",
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 35,
"data": {
"text/plain": "tensor(65085.5273)"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data.train_ds[42][0]",
"execution_count": 36,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 36,
"data": {
"text/plain": "Image (3, 224, 224)",
"image/png": 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\n",
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\n"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Training"
},
{
"metadata": {
"trusted": false,
"collapsed": true
},
"cell_type": "code",
"source": "learn.lr_find()",
"execution_count": 64,
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "37dbe403b9a0432482a5f6c0b6be0da6",
"version_major": 2,
"version_minor": 0
},
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, max=1), HTML(value='0.00% [0/1 00:00<00:00]'))), HTML(value…"
},
"metadata": {},
"output_type": "display_data"
},
{
"ename": "RuntimeError",
"evalue": "Traceback (most recent call last):\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 114, in _worker_loop\n samples = collate_fn([dataset[i] for i in batch_indices])\n File \"/home/nok_chan/fastai/examples/fastai/torch_core.py\", line 91, in data_collate\n return torch.utils.data.dataloader.default_collate(to_data(batch))\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 198, in default_collate\n return [default_collate(samples) for samples in transposed]\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 198, in <listcomp>\n return [default_collate(samples) for samples in transposed]\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 175, in default_collate\n return torch.stack(batch, 0, out=out)\nRuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 113 and 332 in dimension 2 at /opt/conda/conda-bld/pytorch-nightly_1539078095517/work/aten/src/TH/generic/THTensorMoreMath.cpp:1317\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-64-d81c6bd29d71>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlr_find\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/fastai/examples/fastai/train.py\u001b[0m in \u001b[0;36mlr_find\u001b[0;34m(learn, start_lr, end_lr, num_it, **kwargs)\u001b[0m\n\u001b[1;32m 24\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLRFinder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_lr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_lr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_it\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mceil\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_it\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\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[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_lr\u001b[0m\u001b[0;34m,\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[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mto_fp16\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[0mloss_scale\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m512.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflat_master\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mbool\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0mLearner\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/examples/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/examples/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/examples/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 77\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_epoch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 79\u001b[0;31m \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[0m\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[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/fastprogress/fastprogress.py\u001b[0m in \u001b[0;36m__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 54\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gen\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 57\u001b[0m \u001b[0;32myield\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_update\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\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[0;32m~/fastai/examples/fastai/data.py\u001b[0m in \u001b[0;36m__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 50\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__iter__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[0;34m\"Process and returns items from `DataLoader`.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 52\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32myield\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mproc_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 54\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mone_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m->\u001b[0m\u001b[0mCollection\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;32m/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 351\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreorder_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 352\u001b[0m \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 353\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_process_next_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 354\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 355\u001b[0m \u001b[0mnext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m__next__\u001b[0m \u001b[0;31m# Python 2 compatibility\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m_process_next_batch\u001b[0;34m(self, batch)\u001b[0m\n\u001b[1;32m 372\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_put_indices\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 373\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mExceptionWrapper\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 374\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 375\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 376\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mRuntimeError\u001b[0m: Traceback (most recent call last):\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 114, in _worker_loop\n samples = collate_fn([dataset[i] for i in batch_indices])\n File \"/home/nok_chan/fastai/examples/fastai/torch_core.py\", line 91, in data_collate\n return torch.utils.data.dataloader.default_collate(to_data(batch))\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 198, in default_collate\n return [default_collate(samples) for samples in transposed]\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 198, in <listcomp>\n return [default_collate(samples) for samples in transposed]\n File \"/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py\", line 175, in default_collate\n return torch.stack(batch, 0, out=out)\nRuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 113 and 332 in dimension 2 at /opt/conda/conda-bld/pytorch-nightly_1539078095517/work/aten/src/TH/generic/THTensorMoreMath.cpp:1317\n"
]
}
]
},
{
"metadata": {
"scrolled": true,
"trusted": false
},
"cell_type": "code",
"source": "learn.fit_one_cycle(1)",
"execution_count": 4,
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6c7fefffa288472185433ffa80b4205b",
"version_major": 2,
"version_minor": 0
},
"text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, max=1), HTML(value='0.00% [0/1 00:00<00:00]'))), HTML(value…"
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": "Traceback (most recent call last):\n File \"/opt/anaconda3/lib/python3.6/multiprocessing/queues.py\", line 240, in _feed\n send_bytes(obj)\n File \"/opt/anaconda3/lib/python3.6/multiprocessing/connection.py\", line 200, in send_bytes\n self._send_bytes(m[offset:offset + size])\n File \"/opt/anaconda3/lib/python3.6/multiprocessing/connection.py\", line 404, in _send_bytes\n self._send(header + buf)\n File \"/opt/anaconda3/lib/python3.6/multiprocessing/connection.py\", line 368, in _send\n n = write(self._handle, buf)\nBrokenPipeError: [Errno 32] Broken pipe\n"
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-1f26e5fd1026>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mlearn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mConvLearner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtvm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresnet34\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maccuracy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mlearn\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/examples/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/examples/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/examples/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[0;36m0\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/examples/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 25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mopt\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---> 27\u001b[0;31m \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_backward_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 28\u001b[0m \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0mcb_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_backward_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/fastai/examples/fastai/callback.py\u001b[0m in \u001b[0;36mon_backward_begin\u001b[0;34m(self, loss)\u001b[0m\n\u001b[1;32m 215\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[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'smooth_loss'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msmoothener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msmooth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 216\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[0;32m--> 217\u001b[0;31m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_backward_begin\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[0m\n\u001b[0m\u001b[1;32m 218\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\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'last_loss'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[0;32mreturn\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[0m\n",
"\u001b[0;32m~/fastai/examples/fastai/basic_train.py\u001b[0m in \u001b[0;36mon_backward_begin\u001b[0;34m(self, smooth_loss, **kwargs)\u001b[0m\n\u001b[1;32m 213\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlosses\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msmooth_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 214\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpbar\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpbar\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'child'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpbar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchild\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomment\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf'{smooth_loss:.4f}'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 216\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 217\u001b[0m def on_epoch_end(self, epoch:int, num_batch:int, smooth_loss:Tensor,\n",
"\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36m__format__\u001b[0;34m(self, format_spec)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__format__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat_spec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 364\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 365\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__format__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mformat_spec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__format__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat_spec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
]
},
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"trusted": false
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"cell_type": "code",
"source": "learn.unfreeze()\nlearn.fit_one_cycle(6, slice(1e-5,3e-4), pct_start=0.05)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "accuracy(*learn.TTA())",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## rn50"
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "learn = ConvLearner(data, tvm.resnet50, metrics=accuracy)\nlearn.fit_one_cycle(6)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "learn.unfreeze()\nlearn.fit_one_cycle(6, slice(1e-5,3e-4), pct_start=0.05)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"collapsed": true,
"trusted": false
},
"cell_type": "code",
"source": "accuracy(*learn.TTA())",
"execution_count": null,
"outputs": [
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