wandb

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{
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 "cells": [
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  {
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   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "!pip install -e ../"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "import wandb\n",
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    "import time"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
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   "outputs": [
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    {
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     "name": "stderr",
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     "output_type": "stream",
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     "text": [
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Currently logged in as: \u001B[33mvanpelt\u001B[0m (use `wandb login --relogin` to force relogin)\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Tracking run with wandb version 0.0.40\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Syncing run \u001B[33mdeep-elevator-22\u001B[0m\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: ⭐️ View project at \u001B[34m\u001B[4mhttps://app.wandb.ai/vanpelt/jupyter_test\u001B[0m\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: 🚀 View run at \u001B[34m\u001B[4mhttps://app.wandb.ai/vanpelt/jupyter_test/runs/155u9ivk\u001B[0m\n"
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     ]
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    },
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "# Single cell logging\n",
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    "wandb.init(project=\"jupyter_test\")\n",
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    "for i in range(10):\n",
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    "    time.sleep(0.5)\n",
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    "    wandb.log({\"metric\": i})"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "for i in range(10):\n",
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    "    time.sleep(0.5)\n",
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    "    wandb.log({\"metric\": i})"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {},
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   "outputs": [
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    {
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     "name": "stderr",
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     "output_type": "stream",
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     "text": [
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Find user logs for this run at: ./wandb/runs/run-20200813_162851-155u9ivk/logs/debug-20200813_162851-155u9ivk.log\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Find internal logs for this run at: ./wandb/runs/run-20200813_162851-155u9ivk/logs/debug-internal-20200813_162851-155u9ivk.log\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Run summary:\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m:       metric 9\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m:        _step 9\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m:     _runtime 6\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m:   _timestamp 1597361338\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 2 other file(s)\n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: \n",
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      "\u001B[34m\u001B[1mwandb\u001B[0m: Synced \u001B[33mdeep-elevator-22\u001B[0m: \u001B[34mhttps://app.wandb.ai/vanpelt/jupyter_test/runs/155u9ivk\u001B[0m\n"
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     ]
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    }
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   ],
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   "source": [
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    "wandb.join()"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {},
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   "outputs": [],
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   "source": []
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  }
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 ],
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 "metadata": {
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  "kernelspec": {
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   "display_name": "Python 3",
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   "language": "python",
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   "name": "python3"
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  },
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  "language_info": {
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   "codemirror_mode": {
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    "name": "ipython",
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    "version": 3
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   },
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   "file_extension": ".py",
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   "mimetype": "text/x-python",
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   "name": "python",
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   "nbconvert_exporter": "python",
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   "pygments_lexer": "ipython3",
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   "version": "3.7.5"
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  }
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 },
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 "nbformat": 4,
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 "nbformat_minor": 4
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}
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