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diff --git a/src/notebooks/tqdm.ipynb b/src/notebooks/tqdm.ipynb
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--- a/src/notebooks/tqdm.ipynb
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-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "from tqdm.notebook import trange, tqdm\n",
- "from time import sleep"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [],
- "source": [
- "metrics = {\"loss\": 0.0, \"accuracy\": 0.0}"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "e02253811497426483b5492663f276ee",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, description='Epoch', max=10.0, style=ProgressStyle(description_width='…"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n"
- ]
- }
- ],
- "source": [
- "for j in trange(10, unit=\"epoch\", initial=5,\n",
- " bar_format=\"{desc}: {n_fmt}/{total_fmt} {bar} {remaining}{postfix}\",\n",
- " desc=\"Epoch\"):\n",
- " with tqdm(\n",
- " total=10,\n",
- " leave=False,\n",
- " initial=0,\n",
- " unit=\"step\",\n",
- " bar_format=\"{n_fmt}/{total_fmt} {bar} {remaining} {rate_inv_fmt}{postfix}\",\n",
- " ) as t:\n",
- " for i in range(10):\n",
- " sleep(0.1)\n",
- " metrics[\"loss\"] = 0.9 * i\n",
- " metrics[\"accuracy\"] = 100 / (i + 1)\n",
- " t.set_postfix(**metrics)\n",
- " t.update()\n",
- " if j + 5 == 10:\n",
- " break\n",
- "# for j in tqdm(range(100), desc='2nd loop', leave=False, bar_format=\"{n_fmt}/{total_fmt} {bar} {remaining} {rate_inv_fmt}{postfix}\"):\n",
- "# sleep(0.1)\n",
- "# t.set_postfix(**metrics)\n",
- "# t.update()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [],
- "source": [
- "from datetime import datetime"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'0616_231817'"
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "datetime.now().strftime(\"%m%d_%H%M%S\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {},
- "outputs": [],
- "source": [
- "from loguru import logger"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [],
- "source": [
- "a = 2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2020-06-16 23:44:24.228 | DEBUG | __main__:<module>:1 - hej 2\n"
- ]
- }
- ],
- "source": [
- "logger.debug(f\"hej {a}\", format=\"{time:YYYY-MM-DD at HH:mm:ss} : {level} : {message}\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "from pathlib import Path"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "PosixPath('agaga/afaf')"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "Path(\"agaga\") / \"afaf\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.2"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}