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lr.ipynb
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"source": [
"! pip install pytorch-lightning-bolts"
],
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"outputs": [
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"text": [
"Requirement already satisfied: pytorch-lightning-bolts in /usr/local/lib/python3.6/dist-packages (0.2.2)\n",
"Requirement already satisfied: torch>=1.6 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning-bolts) (1.6.0+cu101)\n",
"Requirement already satisfied: pytorch-lightning>=0.9.0 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning-bolts) (0.10.0)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torch>=1.6->pytorch-lightning-bolts) (1.18.5)\n",
"Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch>=1.6->pytorch-lightning-bolts) (0.18.2)\n",
"Requirement already satisfied: PyYAML>=5.1 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (5.3.1)\n",
"Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (4.41.1)\n",
"Requirement already satisfied: fsspec>=0.8.0 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.8.3)\n",
"Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (2.3.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (3.2.2)\n",
"Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.32.0)\n",
"Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (2.23.0)\n",
"Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.17.2)\n",
"Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (3.12.4)\n",
"Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.4.1)\n",
"Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.0.1)\n",
"Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.10.0)\n",
"Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.7.0)\n",
"Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.15.0)\n",
"Requirement already satisfied: wheel>=0.26; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.35.1)\n",
"Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (50.3.0)\n",
"Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.6/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (2.0.0)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (3.0.4)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.24.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (2.10)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (2020.6.20)\n",
"Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (4.1.1)\n",
"Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (4.6)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.2.8)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (1.3.0)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (3.2.0)\n",
"Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.6/dist-packages (from rsa<5,>=3.1.4; python_version >= \"3\"->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (0.4.8)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch-lightning>=0.9.0->pytorch-lightning-bolts) (3.1.0)\n"
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"base_uri": "https://localhost:8080/",
"height": 509,
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"source": [
"from sklearn.datasets import load_iris\n",
"from pl_bolts.models.regression import LogisticRegression\n",
"from pl_bolts.datamodules import SklearnDataModule\n",
"import pytorch_lightning as pl\n",
"\n",
"# use any numpy or sklearn dataset\n",
"X, y = load_iris(return_X_y=True)\n",
"dm = SklearnDataModule(X, y)\n",
"\n",
"# build model\n",
"model = LogisticRegression(input_dim=4, num_classes=3)\n",
"\n",
"# fit\n",
"trainer = pl.Trainer()#tpu_cores=8, precision=16)\n",
"trainer.fit(model, dm.train_dataloader(), dm.val_dataloader())\n",
"\n",
"trainer.test(test_dataloaders=dm.test_dataloader(batch_size=12))"
],
"execution_count": 4,
"outputs": [
{
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"text": [
"GPU available: False, used: False\n",
"TPU available: False, using: 0 TPU cores\n",
"\n",
" | Name | Type | Params\n",
"----------------------------------\n",
"0 | linear | Linear | 15 \n"
],
"name": "stderr"
},
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{
"output_type": "error",
"ename": "TypeError",
"evalue": "ignored",
"traceback": [
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"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-8383dc031627>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;31m# fit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m#tpu_cores=8, precision=16)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mval_dataloader\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[0m\n\u001b[0m\u001b[1;32m 16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_dataloaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest_dataloader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m12\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/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloader, val_dataloaders, datamodule)\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcall_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'on_fit_start'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 453\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 454\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\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[0m\u001b[1;32m 455\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mteardown\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[1;32m 456\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/accelerators/cpu_backend.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 46\u001b[0m \u001b[0;31m# train or test\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 47\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_or_test\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[0m\u001b[1;32m 48\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresults\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 49\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/accelerators/base_accelerator.py\u001b[0m in \u001b[0;36mtrain_or_test\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 48\u001b[0m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_test\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[1;32m 49\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 50\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\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[0m\u001b[1;32m 51\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresults\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 474\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 475\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mtrain\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[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 476\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_sanity_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_model\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[0m\n\u001b[0m\u001b[1;32m 477\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 478\u001b[0m \u001b[0;31m# enable train mode\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_sanity_check\u001b[0;34m(self, ref_model)\u001b[0m\n\u001b[1;32m 664\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 665\u001b[0m \u001b[0;31m# run eval step\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 666\u001b[0;31m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meval_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_evaluation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_mode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_batches\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnum_sanity_val_batches\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 667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 668\u001b[0m \u001b[0;31m# allow no returns from eval\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_evaluation\u001b[0;34m(self, test_mode, max_batches)\u001b[0m\n\u001b[1;32m 584\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 585\u001b[0m \u001b[0;31m# lightning module methods\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 586\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluation_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluation_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_mode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader_idx\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 587\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluation_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluation_step_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/evaluation_loop.py\u001b[0m in \u001b[0;36mevaluation_step\u001b[0;34m(self, test_mode, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m 169\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 170\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 171\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalidation_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\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 172\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 173\u001b[0m \u001b[0;31m# track batch size for weighted average\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pytorch_lightning/accelerators/cpu_backend.py\u001b[0m in \u001b[0;36mvalidation_step\u001b[0;34m(self, args)\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalidation_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 63\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalidation_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\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 64\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pl_bolts/models/regression/logistic_regression.py\u001b[0m in \u001b[0;36mvalidation_step\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 82\u001b[0m \u001b[0my_hat\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 83\u001b[0;31m \u001b[0macc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maccuracy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_hat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\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 84\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'val_loss'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcross_entropy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_hat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'acc'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0macc\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 85\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: 'module' object is not callable"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Nl9ofrL1BemD"
},
"source": [
"# Environment"
]
},
{
"cell_type": "code",
"metadata": {
"id": "etrmcMkhBfjA",
"outputId": "492267f5-e099-4b97-e07c-d6821e38b7f4",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"! pip freeze"
],
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"text": [
"absl-py==0.10.0\n",
"alabaster==0.7.12\n",
"albumentations==0.1.12\n",
"altair==4.1.0\n",
"argon2-cffi==20.1.0\n",
"asgiref==3.2.10\n",
"astor==0.8.1\n",
"astropy==4.0.1.post1\n",
"astunparse==1.6.3\n",
"async-generator==1.10\n",
"atari-py==0.2.6\n",
"atomicwrites==1.4.0\n",
"attrs==20.2.0\n",
"audioread==2.1.8\n",
"autograd==1.3\n",
"Babel==2.8.0\n",
"backcall==0.2.0\n",
"beautifulsoup4==4.6.3\n",
"bleach==3.2.1\n",
"blis==0.4.1\n",
"bokeh==2.1.1\n",
"Bottleneck==1.3.2\n",
"branca==0.4.1\n",
"bs4==0.0.1\n",
"CacheControl==0.12.6\n",
"cachetools==4.1.1\n",
"catalogue==1.0.0\n",
"certifi==2020.6.20\n",
"cffi==1.14.3\n",
"chainer==7.4.0\n",
"chardet==3.0.4\n",
"click==7.1.2\n",
"cloudpickle==1.3.0\n",
"cmake==3.12.0\n",
"cmdstanpy==0.9.5\n",
"colorlover==0.3.0\n",
"community==1.0.0b1\n",
"contextlib2==0.5.5\n",
"convertdate==2.2.2\n",
"coverage==3.7.1\n",
"coveralls==0.5\n",
"crcmod==1.7\n",
"cufflinks==0.17.3\n",
"cvxopt==1.2.5\n",
"cvxpy==1.0.31\n",
"cycler==0.10.0\n",
"cymem==2.0.3\n",
"Cython==0.29.21\n",
"daft==0.0.4\n",
"dask==2.12.0\n",
"dataclasses==0.7\n",
"datascience==0.10.6\n",
"debugpy==1.0.0rc2\n",
"decorator==4.4.2\n",
"defusedxml==0.6.0\n",
"descartes==1.1.0\n",
"dill==0.3.2\n",
"distributed==1.25.3\n",
"Django==3.1.1\n",
"dlib==19.18.0\n",
"dm-tree==0.1.5\n",
"docopt==0.6.2\n",
"docutils==0.16\n",
"dopamine-rl==1.0.5\n",
"earthengine-api==0.1.236\n",
"easydict==1.9\n",
"ecos==2.0.7.post1\n",
"editdistance==0.5.3\n",
"en-core-web-sm==2.2.5\n",
"entrypoints==0.3\n",
"ephem==3.7.7.1\n",
"et-xmlfile==1.0.1\n",
"fa2==0.3.5\n",
"fancyimpute==0.4.3\n",
"fastai==1.0.61\n",
"fastdtw==0.3.4\n",
"fastprogress==1.0.0\n",
"fastrlock==0.5\n",
"fbprophet==0.7.1\n",
"feather-format==0.4.1\n",
"filelock==3.0.12\n",
"firebase-admin==4.4.0\n",
"fix-yahoo-finance==0.0.22\n",
"Flask==1.1.2\n",
"folium==0.8.3\n",
"fsspec==0.8.3\n",
"future==0.18.2\n",
"gast==0.3.3\n",
"GDAL==2.2.2\n",
"gdown==3.6.4\n",
"gensim==3.6.0\n",
"geographiclib==1.50\n",
"geopy==1.17.0\n",
"gin-config==0.3.0\n",
"glob2==0.7\n",
"google==2.0.3\n",
"google-api-core==1.16.0\n",
"google-api-python-client==1.7.12\n",
"google-auth==1.17.2\n",
"google-auth-httplib2==0.0.4\n",
"google-auth-oauthlib==0.4.1\n",
"google-cloud-bigquery==1.21.0\n",
"google-cloud-core==1.0.3\n",
"google-cloud-datastore==1.8.0\n",
"google-cloud-firestore==1.7.0\n",
"google-cloud-language==1.2.0\n",
"google-cloud-storage==1.18.1\n",
"google-cloud-translate==1.5.0\n",
"google-colab==1.0.0\n",
"google-pasta==0.2.0\n",
"google-resumable-media==0.4.1\n",
"googleapis-common-protos==1.52.0\n",
"googledrivedownloader==0.4\n",
"graphviz==0.10.1\n",
"grpcio==1.32.0\n",
"gspread==3.0.1\n",
"gspread-dataframe==3.0.8\n",
"gym==0.17.2\n",
"h5py==2.10.0\n",
"HeapDict==1.0.1\n",
"holidays==0.10.3\n",
"holoviews==1.13.4\n",
"html5lib==1.0.1\n",
"httpimport==0.5.18\n",
"httplib2==0.17.4\n",
"httplib2shim==0.0.3\n",
"humanize==0.5.1\n",
"hyperopt==0.1.2\n",
"ideep4py==2.0.0.post3\n",
"idna==2.10\n",
"image==1.5.32\n",
"imageio==2.4.1\n",
"imagesize==1.2.0\n",
"imbalanced-learn==0.4.3\n",
"imblearn==0.0\n",
"imgaug==0.2.9\n",
"importlib-metadata==2.0.0\n",
"imutils==0.5.3\n",
"inflect==2.1.0\n",
"iniconfig==1.0.1\n",
"intel-openmp==2020.0.133\n",
"intervaltree==2.1.0\n",
"ipykernel==4.10.1\n",
"ipython==5.5.0\n",
"ipython-genutils==0.2.0\n",
"ipython-sql==0.3.9\n",
"ipywidgets==7.5.1\n",
"itsdangerous==1.1.0\n",
"jax==0.2.0\n",
"jaxlib==0.1.55\n",
"jdcal==1.4.1\n",
"jedi==0.17.2\n",
"jieba==0.42.1\n",
"Jinja2==2.11.2\n",
"joblib==0.16.0\n",
"jpeg4py==0.1.4\n",
"jsonschema==2.6.0\n",
"jupyter==1.0.0\n",
"jupyter-client==5.3.5\n",
"jupyter-console==5.2.0\n",
"jupyter-core==4.6.3\n",
"jupyterlab-pygments==0.1.2\n",
"kaggle==1.5.8\n",
"kapre==0.1.3.1\n",
"Keras==2.4.3\n",
"Keras-Preprocessing==1.1.2\n",
"keras-vis==0.4.1\n",
"kiwisolver==1.2.0\n",
"knnimpute==0.1.0\n",
"korean-lunar-calendar==0.2.1\n",
"librosa==0.6.3\n",
"lightgbm==2.2.3\n",
"llvmlite==0.31.0\n",
"lmdb==0.99\n",
"lucid==0.3.8\n",
"LunarCalendar==0.0.9\n",
"lxml==4.2.6\n",
"Markdown==3.2.2\n",
"MarkupSafe==1.1.1\n",
"matplotlib==3.2.2\n",
"matplotlib-venn==0.11.5\n",
"missingno==0.4.2\n",
"mistune==0.8.4\n",
"mizani==0.6.0\n",
"mkl==2019.0\n",
"mlxtend==0.14.0\n",
"more-itertools==8.5.0\n",
"moviepy==0.2.3.5\n",
"mpmath==1.1.0\n",
"msgpack==1.0.0\n",
"multiprocess==0.70.10\n",
"multitasking==0.0.9\n",
"murmurhash==1.0.2\n",
"music21==5.5.0\n",
"natsort==5.5.0\n",
"nbclient==0.5.0\n",
"nbconvert==5.6.1\n",
"nbformat==5.0.7\n",
"nest-asyncio==1.4.1\n",
"networkx==2.5\n",
"nibabel==3.0.2\n",
"nltk==3.2.5\n",
"notebook==5.3.1\n",
"np-utils==0.5.12.1\n",
"numba==0.48.0\n",
"numexpr==2.7.1\n",
"numpy==1.18.5\n",
"nvidia-ml-py3==7.352.0\n",
"oauth2client==4.1.3\n",
"oauthlib==3.1.0\n",
"okgrade==0.4.3\n",
"opencv-contrib-python==4.1.2.30\n",
"opencv-python==4.1.2.30\n",
"openpyxl==2.5.9\n",
"opt-einsum==3.3.0\n",
"osqp==0.6.1\n",
"packaging==20.4\n",
"palettable==3.3.0\n",
"pandas==1.1.2\n",
"pandas-datareader==0.9.0\n",
"pandas-gbq==0.13.2\n",
"pandas-profiling==1.4.1\n",
"pandocfilters==1.4.2\n",
"panel==0.9.7\n",
"param==1.9.3\n",
"parso==0.7.1\n",
"pathlib==1.0.1\n",
"patsy==0.5.1\n",
"pexpect==4.8.0\n",
"pickleshare==0.7.5\n",
"Pillow==7.0.0\n",
"pip-tools==4.5.1\n",
"plac==1.1.3\n",
"plotly==4.4.1\n",
"plotnine==0.6.0\n",
"pluggy==0.7.1\n",
"portpicker==1.3.1\n",
"prefetch-generator==1.0.1\n",
"preshed==3.0.2\n",
"prettytable==0.7.2\n",
"progressbar2==3.38.0\n",
"prometheus-client==0.8.0\n",
"promise==2.3\n",
"prompt-toolkit==1.0.18\n",
"protobuf==3.12.4\n",
"psutil==5.4.8\n",
"psycopg2==2.7.6.1\n",
"ptyprocess==0.6.0\n",
"py==1.9.0\n",
"pyarrow==0.14.1\n",
"pyasn1==0.4.8\n",
"pyasn1-modules==0.2.8\n",
"pycocotools==2.0.2\n",
"pycparser==2.20\n",
"pyct==0.4.8\n",
"pydata-google-auth==1.1.0\n",
"pydot==1.3.0\n",
"pydot-ng==2.0.0\n",
"pydotplus==2.0.2\n",
"PyDrive==1.3.1\n",
"pyemd==0.5.1\n",
"pyglet==1.5.0\n",
"Pygments==2.6.1\n",
"pygobject==3.26.1\n",
"pymc3==3.7\n",
"PyMeeus==0.3.7\n",
"pymongo==3.11.0\n",
"pymystem3==0.2.0\n",
"PyOpenGL==3.1.5\n",
"pyparsing==2.4.7\n",
"pyrsistent==0.17.3\n",
"pysndfile==1.3.8\n",
"PySocks==1.7.1\n",
"pystan==2.19.1.1\n",
"pytest==3.6.4\n",
"python-apt==1.6.5+ubuntu0.3\n",
"python-chess==0.23.11\n",
"python-dateutil==2.8.1\n",
"python-louvain==0.14\n",
"python-slugify==4.0.1\n",
"python-utils==2.4.0\n",
"pytorch-lightning==0.10.0\n",
"pytorch-lightning-bolts==0.2.2\n",
"pytz==2018.9\n",
"pyviz-comms==0.7.6\n",
"PyWavelets==1.1.1\n",
"PyYAML==5.3.1\n",
"pyzmq==19.0.2\n",
"qtconsole==4.7.7\n",
"QtPy==1.9.0\n",
"regex==2019.12.20\n",
"requests==2.23.0\n",
"requests-oauthlib==1.3.0\n",
"resampy==0.2.2\n",
"retrying==1.3.3\n",
"rpy2==3.2.7\n",
"rsa==4.6\n",
"scikit-image==0.16.2\n",
"scikit-learn==0.22.2.post1\n",
"scipy==1.4.1\n",
"screen-resolution-extra==0.0.0\n",
"scs==2.1.2\n",
"seaborn==0.11.0\n",
"Send2Trash==1.5.0\n",
"setuptools-git==1.2\n",
"Shapely==1.7.1\n",
"simplegeneric==0.8.1\n",
"six==1.15.0\n",
"sklearn==0.0\n",
"sklearn-pandas==1.8.0\n",
"slugify==0.0.1\n",
"smart-open==2.2.0\n",
"snowballstemmer==2.0.0\n",
"sortedcontainers==2.2.2\n",
"spacy==2.2.4\n",
"Sphinx==1.8.5\n",
"sphinxcontrib-serializinghtml==1.1.4\n",
"sphinxcontrib-websupport==1.2.4\n",
"SQLAlchemy==1.3.19\n",
"sqlparse==0.3.1\n",
"srsly==1.0.2\n",
"statsmodels==0.10.2\n",
"sympy==1.1.1\n",
"tables==3.4.4\n",
"tabulate==0.8.7\n",
"tblib==1.7.0\n",
"tensorboard==2.3.0\n",
"tensorboard-plugin-wit==1.7.0\n",
"tensorboardcolab==0.0.22\n",
"tensorflow==2.3.0\n",
"tensorflow-addons==0.8.3\n",
"tensorflow-datasets==2.1.0\n",
"tensorflow-estimator==2.3.0\n",
"tensorflow-gcs-config==2.3.0\n",
"tensorflow-hub==0.9.0\n",
"tensorflow-metadata==0.24.0\n",
"tensorflow-privacy==0.2.2\n",
"tensorflow-probability==0.11.0\n",
"termcolor==1.1.0\n",
"terminado==0.9.1\n",
"testpath==0.4.4\n",
"text-unidecode==1.3\n",
"textblob==0.15.3\n",
"textgenrnn==1.4.1\n",
"Theano==1.0.5\n",
"thinc==7.4.0\n",
"tifffile==2020.9.3\n",
"toml==0.10.1\n",
"toolz==0.11.1\n",
"torch==1.6.0+cu101\n",
"torchsummary==1.5.1\n",
"torchtext==0.3.1\n",
"torchvision==0.7.0+cu101\n",
"tornado==5.1.1\n",
"tqdm==4.41.1\n",
"traitlets==4.3.3\n",
"tweepy==3.6.0\n",
"typeguard==2.7.1\n",
"typing-extensions==3.7.4.3\n",
"tzlocal==1.5.1\n",
"umap-learn==0.4.6\n",
"uritemplate==3.0.1\n",
"urllib3==1.24.3\n",
"vega-datasets==0.8.0\n",
"wasabi==0.8.0\n",
"wcwidth==0.2.5\n",
"webencodings==0.5.1\n",
"Werkzeug==1.0.1\n",
"widgetsnbextension==3.5.1\n",
"wordcloud==1.5.0\n",
"wrapt==1.12.1\n",
"xarray==0.15.1\n",
"xgboost==0.90\n",
"xkit==0.0.0\n",
"xlrd==1.1.0\n",
"xlwt==1.3.0\n",
"yellowbrick==0.9.1\n",
"zict==2.0.0\n",
"zipp==3.2.0\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "CGFv4zeNBf4R"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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