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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# CNN Using Keras and MADlib\n",
"\n",
"E2E classification example using MADlib calling a Keras CNN. Based on model architecture in https://keras.io/examples/cifar10_cnn/\n",
"\n",
"To load images into tables we use the script called <em>madlib_image_loader.py</em> located at https://github.com/apache/madlib-site/tree/asf-site/community-artifacts/Deep-learning which uses the Python Imaging Library so supports multiple formats\n",
"http://www.pythonware.com/products/pil/\n",
"\n",
"\n",
"## Table of contents\n",
"<a href=\"#import_libraries\">1. Import libraries</a>\n",
"\n",
"<a href=\"#load_and_prepare_data\">2. Load dataset into table</a>\n",
"\n",
"<a href=\"#image_preproc\">3. Call image preprocessor</a>\n",
"\n",
"<a href=\"#define_and_load_model\">4. Define and load model architecture</a>\n",
"\n",
"<a href=\"#train\">5. Train</a>\n",
"\n",
"<a href=\"#plot\">6. Plots by iteration and time</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The CIFAR-10 dataset consists of 60,000 32x32 colour images in 10 classes, with 6,000 images per class. There are 50,000 training images and 10,000 test images. \n",
"\n",
"https://www.cs.toronto.edu/~kriz/cifar.html"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"../../images/cifar10.jpg\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated since IPython 4.0. You should import from traitlets.config instead.\n",
" \"You should import from traitlets.config instead.\", ShimWarning)\n",
"/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n",
" warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\n"
]
}
],
"source": [
"%load_ext sql"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"u'Connected: gpadmin@madlib'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Greenplum Database 5.x on GCP (PM demo machine) - direct external IP access\n",
"#%sql postgresql://gpadmin@34.67.65.96:5432/madlib\n",
"\n",
"# Greenplum Database 5.x on GCP - via tunnel\n",
"%sql postgresql://gpadmin@localhost:8000/madlib\n",
" \n",
"# PostgreSQL local\n",
"#%sql postgresql://fmcquillan@localhost:5432/madlib"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>version</th>\n",
" </tr>\n",
" <tr>\n",
" <td>MADlib version: 1.17-dev, git revision: rel/v1.16-54-gec5614f, cmake configuration time: Wed Dec 18 17:08:05 UTC 2019, build type: release, build system: Linux-3.10.0-1062.4.3.el7.x86_64, C compiler: gcc 4.8.5, C++ compiler: g++ 4.8.5</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(u'MADlib version: 1.17-dev, git revision: rel/v1.16-54-gec5614f, cmake configuration time: Wed Dec 18 17:08:05 UTC 2019, build type: release, build system: Linux-3.10.0-1062.4.3.el7.x86_64, C compiler: gcc 4.8.5, C++ compiler: g++ 4.8.5',)]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%sql select madlib.version();\n",
"#%sql select version();"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"import_libraries\"></a>\n",
"# 1. Import libraries\n",
"From https://keras.io/examples/mnist_transfer_cnn/ import libraries and define some params"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Couldn't import dot_parser, loading of dot files will not be possible.\n"
]
}
],
"source": [
"from __future__ import print_function\n",
"import keras\n",
"from keras.datasets import cifar10\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense, Dropout, Activation, Flatten\n",
"from keras.layers import Conv2D, MaxPooling2D\n",
"import os\n",
"\n",
"batch_size = 32\n",
"num_classes = 10\n",
"epochs = 100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Others needed in this workbook"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import sys\n",
"import os\n",
"from matplotlib import pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"load_and_prepare_data\"></a>\n",
"# 2. Set up image loader and load dataset into table\n",
"\n",
"First set up image loader using the script called <em>madlib_image_loader.py</em> located at https://github.com/apache/madlib-site/tree/asf-site/community-artifacts/Deep-learning"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"madlib_site_dir = '/Users/fmcquillan/Documents/Product/MADlib/Demos/data'\n",
"sys.path.append(madlib_site_dir)\n",
"\n",
"# Import image loader module\n",
"from madlib_image_loader import ImageLoader, DbCredentials\n",
"\n",
"# Specify database credentials, for connecting to db\n",
"db_creds = DbCredentials(user='fmcquillan',\n",
" host='localhost',\n",
" port='5432',\n",
" password='')\n",
"\n",
"# Specify database credentials, for connecting to db\n",
"#db_creds = DbCredentials(user='gpadmin', \n",
"# db_name='madlib',\n",
"# host='35.239.240.26',\n",
"# port='5432',\n",
"# password='')\n",
"\n",
"# Initialize ImageLoader (increase num_workers to run faster)\n",
"iloader = ImageLoader(num_workers=5, db_creds=db_creds)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First load CIFAR-10 data from Keras consisting of 50,000 32x32 color training images, labeled over 10 categories, and 10,000 test images."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"MainProcess: Connected to madlib db.\n",
"Executing: CREATE TABLE cifar_10_train_data (id SERIAL, x REAL[], y TEXT)\n",
"CREATE TABLE\n",
"Created table cifar_10_train_data in madlib db\n",
"Spawning 5 workers...\n",
"Initializing PoolWorker-1 [pid 66874]\n",
"PoolWorker-1: Created temporary directory /tmp/madlib_rrRCbykUw0\n",
"Initializing PoolWorker-2 [pid 66875]\n",
"PoolWorker-2: Created temporary directory /tmp/madlib_w1bgWZpxCn\n",
"Initializing PoolWorker-3 [pid 66876]\n",
"PoolWorker-3: Created temporary directory /tmp/madlib_q2Xgd1TDVg\n",
"PoolWorker-1: Connected to madlib db.\n",
"Initializing PoolWorker-4 [pid 66877]\n",
"PoolWorker-2: Connected to madlib db.\n",
"PoolWorker-4: Created temporary directory /tmp/madlib_NJDD5nxkcT\n",
"Initializing PoolWorker-5 [pid 66879]\n",
"PoolWorker-3: Connected to madlib db.\n",
"PoolWorker-5: Created temporary directory /tmp/madlib_rQ5Tgpwhkw\n",
"PoolWorker-4: Connected to madlib db.\n",
"PoolWorker-5: Connected to madlib db.\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0000.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0000.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0000.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0000.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0000.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0001.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0001.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0001.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0001.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0001.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0002.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0002.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0002.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0002.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0002.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0003.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0003.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0003.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0003.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0003.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0004.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0004.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0004.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0004.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0004.tmp\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0005.tmp\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0005.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0005.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0005.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0005.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0006.tmp\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0006.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0006.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0006.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0006.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0007.tmp\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0007.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0007.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0007.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0007.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0008.tmp\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0008.tmp\n",
"PoolWorker-2: Wrote 1000 images to /tmp/madlib_w1bgWZpxCn/cifar_10_train_data0008.tmp\n",
"PoolWorker-5: Wrote 1000 images to /tmp/madlib_rQ5Tgpwhkw/cifar_10_train_data0008.tmp\n",
"PoolWorker-4: Wrote 1000 images to /tmp/madlib_NJDD5nxkcT/cifar_10_train_data0008.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0009.tmp\n",
"PoolWorker-2: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-5: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0009.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0010.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-3: Wrote 1000 images to /tmp/madlib_q2Xgd1TDVg/cifar_10_train_data0010.tmp\n",
"PoolWorker-3: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-1: Wrote 1000 images to /tmp/madlib_rrRCbykUw0/cifar_10_train_data0011.tmp\n",
"PoolWorker-1: Loaded 1000 images into cifar_10_train_data\n",
"PoolWorker-4: Removed temporary directory /tmp/madlib_NJDD5nxkcT\n",
"PoolWorker-3: Removed temporary directory /tmp/madlib_q2Xgd1TDVg\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"PoolWorker-2: Removed temporary directory /tmp/madlib_w1bgWZpxCn\n",
"PoolWorker-5: Removed temporary directory /tmp/madlib_rQ5Tgpwhkw\n",
"PoolWorker-1: Removed temporary directory /tmp/madlib_rrRCbykUw0\n",
"Done! Loaded 50000 images in 24.2264728546s\n",
"5 workers terminated.\n",
"MainProcess: Connected to madlib db.\n",
"Executing: CREATE TABLE cifar_10_test_data (id SERIAL, x REAL[], y TEXT)\n",
"CREATE TABLE\n",
"Created table cifar_10_test_data in madlib db\n",
"Spawning 5 workers...\n",
"Initializing PoolWorker-6 [pid 66886]\n",
"PoolWorker-6: Created temporary directory /tmp/madlib_us7NnIzs4Z\n",
"Initializing PoolWorker-7 [pid 66887]\n",
"PoolWorker-7: Created temporary directory /tmp/madlib_YhsJADC7Iq\n",
"Initializing PoolWorker-8 [pid 66888]\n",
"PoolWorker-8: Created temporary directory /tmp/madlib_izbrkdZU7f\n",
"PoolWorker-6: Connected to madlib db.\n",
"Initializing PoolWorker-9 [pid 66889]\n",
"PoolWorker-7: Connected to madlib db.\n",
"PoolWorker-9: Created temporary directory /tmp/madlib_GgLgXeKpOp\n",
"Initializing PoolWorker-10 [pid 66891]\n",
"PoolWorker-10: Created temporary directory /tmp/madlib_JfRd66eGln\n",
"PoolWorker-8: Connected to madlib db.\n",
"PoolWorker-9: Connected to madlib db.\n",
"PoolWorker-10: Connected to madlib db.\n",
"PoolWorker-6: Wrote 1000 images to /tmp/madlib_us7NnIzs4Z/cifar_10_test_data0000.tmp\n",
"PoolWorker-7: Wrote 1000 images to /tmp/madlib_YhsJADC7Iq/cifar_10_test_data0000.tmp\n",
"PoolWorker-8: Wrote 1000 images to /tmp/madlib_izbrkdZU7f/cifar_10_test_data0000.tmp\n",
"PoolWorker-9: Wrote 1000 images to /tmp/madlib_GgLgXeKpOp/cifar_10_test_data0000.tmp\n",
"PoolWorker-10: Wrote 1000 images to /tmp/madlib_JfRd66eGln/cifar_10_test_data0000.tmp\n",
"PoolWorker-6: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-7: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-8: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-10: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-9: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-7: Wrote 1000 images to /tmp/madlib_YhsJADC7Iq/cifar_10_test_data0001.tmp\n",
"PoolWorker-6: Wrote 1000 images to /tmp/madlib_us7NnIzs4Z/cifar_10_test_data0001.tmp\n",
"PoolWorker-8: Wrote 1000 images to /tmp/madlib_izbrkdZU7f/cifar_10_test_data0001.tmp\n",
"PoolWorker-10: Wrote 1000 images to /tmp/madlib_JfRd66eGln/cifar_10_test_data0001.tmp\n",
"PoolWorker-9: Wrote 1000 images to /tmp/madlib_GgLgXeKpOp/cifar_10_test_data0001.tmp\n",
"PoolWorker-7: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-6: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-8: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-10: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-9: Loaded 1000 images into cifar_10_test_data\n",
"PoolWorker-8: Removed temporary directory /tmp/madlib_izbrkdZU7f\n",
"PoolWorker-6: Removed temporary directory /tmp/madlib_us7NnIzs4Z\n",
"PoolWorker-7: Removed temporary directory /tmp/madlib_YhsJADC7Iq\n",
"PoolWorker-10: Removed temporary directory /tmp/madlib_JfRd66eGln\n",
"PoolWorker-9: Removed temporary directory /tmp/madlib_GgLgXeKpOp\n",
"Done! Loaded 10000 images in 5.36254000664s\n",
"5 workers terminated.\n"
]
}
],
"source": [
"# Load dataset into np array\n",
"(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n",
"\n",
"%sql DROP TABLE IF EXISTS cifar_10_train_data, cifar_10_test_data;\n",
"\n",
"# Save images to temporary directories and load into database\n",
"iloader.load_dataset_from_np(x_train, y_train, 'cifar_10_train_data', append=False)\n",
"iloader.load_dataset_from_np(x_test, y_test, 'cifar_10_test_data', append=False)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
" <td>50000</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(50000L,)]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%sql select count(*) from cifar_10_train_data;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"image_preproc\"></a>\n",
"# 3. Call image preprocessor\n",
"\n",
"Transforms from one image per row to multiple images per row for batch optimization. Also normalizes and one-hot encodes.\n",
"\n",
"Training data"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"1 rows affected.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>source_table</th>\n",
" <th>output_table</th>\n",
" <th>dependent_varname</th>\n",
" <th>independent_varname</th>\n",
" <th>dependent_vartype</th>\n",
" <th>class_values</th>\n",
" <th>buffer_size</th>\n",
" <th>normalizing_const</th>\n",
" <th>num_classes</th>\n",
" <th>distribution_rules</th>\n",
" <th>__internal_gpu_config__</th>\n",
" </tr>\n",
" <tr>\n",
" <td>cifar_10_train_data</td>\n",
" <td>cifar_10_train_data_packed</td>\n",
" <td>y</td>\n",
" <td>x</td>\n",
" <td>text</td>\n",
" <td>[u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9']</td>\n",
" <td>1000</td>\n",
" <td>255.0</td>\n",
" <td>10</td>\n",
" <td>all_segments</td>\n",
" <td>all_segments</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(u'cifar_10_train_data', u'cifar_10_train_data_packed', u'y', u'x', u'text', [u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9'], 1000, 255.0, 10, 'all_segments', 'all_segments')]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS cifar_10_train_data_packed, cifar_10_train_data_packed_summary;\n",
"\n",
"SELECT madlib.training_preprocessor_dl('cifar_10_train_data', -- Source table\n",
" 'cifar_10_train_data_packed', -- Output table\n",
" 'y', -- Dependent variable\n",
" 'x', -- Independent variable\n",
" 1000, -- Buffer size\n",
" 255 -- Normalizing constant\n",
" );\n",
"\n",
"SELECT * FROM cifar_10_train_data_packed_summary;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Test data"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"1 rows affected.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>source_table</th>\n",
" <th>output_table</th>\n",
" <th>dependent_varname</th>\n",
" <th>independent_varname</th>\n",
" <th>dependent_vartype</th>\n",
" <th>class_values</th>\n",
" <th>buffer_size</th>\n",
" <th>normalizing_const</th>\n",
" <th>num_classes</th>\n",
" <th>distribution_rules</th>\n",
" <th>__internal_gpu_config__</th>\n",
" </tr>\n",
" <tr>\n",
" <td>cifar_10_test_data</td>\n",
" <td>cifar_10_test_data_packed</td>\n",
" <td>y</td>\n",
" <td>x</td>\n",
" <td>text</td>\n",
" <td>[u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9']</td>\n",
" <td>1000</td>\n",
" <td>255.0</td>\n",
" <td>10</td>\n",
" <td>all_segments</td>\n",
" <td>all_segments</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(u'cifar_10_test_data', u'cifar_10_test_data_packed', u'y', u'x', u'text', [u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9'], 1000, 255.0, 10, 'all_segments', 'all_segments')]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS cifar_10_test_data_packed, cifar_10_test_data_packed_summary;\n",
"\n",
"SELECT madlib.validation_preprocessor_dl('cifar_10_test_data', -- Source table\n",
" 'cifar_10_test_data_packed', -- Output table\n",
" 'y', -- Dependent variable\n",
" 'x', -- Independent variable\n",
" 'cifar_10_train_data_packed', -- Training preproc table\n",
" 1000 -- Buffer size\n",
" );\n",
"\n",
"SELECT * FROM cifar_10_test_data_packed_summary;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"define_and_load_model\"></a>\n",
"# 4. Define and load model architecture\n",
"\n",
"Model architecture from https://keras.io/examples/cifar10_cnn/"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"conv2d_5 (Conv2D) (None, 32, 32, 32) 896 \n",
"_________________________________________________________________\n",
"activation_7 (Activation) (None, 32, 32, 32) 0 \n",
"_________________________________________________________________\n",
"conv2d_6 (Conv2D) (None, 30, 30, 32) 9248 \n",
"_________________________________________________________________\n",
"activation_8 (Activation) (None, 30, 30, 32) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d_3 (MaxPooling2 (None, 15, 15, 32) 0 \n",
"_________________________________________________________________\n",
"dropout_4 (Dropout) (None, 15, 15, 32) 0 \n",
"_________________________________________________________________\n",
"conv2d_7 (Conv2D) (None, 15, 15, 64) 18496 \n",
"_________________________________________________________________\n",
"activation_9 (Activation) (None, 15, 15, 64) 0 \n",
"_________________________________________________________________\n",
"conv2d_8 (Conv2D) (None, 13, 13, 64) 36928 \n",
"_________________________________________________________________\n",
"activation_10 (Activation) (None, 13, 13, 64) 0 \n",
"_________________________________________________________________\n",
"max_pooling2d_4 (MaxPooling2 (None, 6, 6, 64) 0 \n",
"_________________________________________________________________\n",
"dropout_5 (Dropout) (None, 6, 6, 64) 0 \n",
"_________________________________________________________________\n",
"flatten_2 (Flatten) (None, 2304) 0 \n",
"_________________________________________________________________\n",
"dense_3 (Dense) (None, 512) 1180160 \n",
"_________________________________________________________________\n",
"activation_11 (Activation) (None, 512) 0 \n",
"_________________________________________________________________\n",
"dropout_6 (Dropout) (None, 512) 0 \n",
"_________________________________________________________________\n",
"dense_4 (Dense) (None, 10) 5130 \n",
"_________________________________________________________________\n",
"activation_12 (Activation) (None, 10) 0 \n",
"=================================================================\n",
"Total params: 1,250,858\n",
"Trainable params: 1,250,858\n",
"Non-trainable params: 0\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"model = Sequential()\n",
"model.add(Conv2D(32, (3, 3), padding='same',\n",
" input_shape=x_train.shape[1:]))\n",
"model.add(Activation('relu'))\n",
"model.add(Conv2D(32, (3, 3)))\n",
"model.add(Activation('relu'))\n",
"model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"model.add(Dropout(0.25))\n",
"\n",
"model.add(Conv2D(64, (3, 3), padding='same'))\n",
"model.add(Activation('relu'))\n",
"model.add(Conv2D(64, (3, 3)))\n",
"model.add(Activation('relu'))\n",
"model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"model.add(Dropout(0.25))\n",
"\n",
"model.add(Flatten())\n",
"model.add(Dense(512))\n",
"model.add(Activation('relu'))\n",
"model.add(Dropout(0.5))\n",
"model.add(Dense(num_classes))\n",
"model.add(Activation('softmax'))\n",
"\n",
"model.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load into model architecture table using psycopg2"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>model_id</th>\n",
" <th>name</th>\n",
" </tr>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>CNN from Keras docs for CIFAR-10</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(1, u'CNN from Keras docs for CIFAR-10')]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import psycopg2 as p2\n",
"#conn = p2.connect('postgresql://gpadmin@35.239.240.26:5432/madlib')\n",
"#conn = p2.connect('postgresql://fmcquillan@localhost:5432/madlib')\n",
"conn = p2.connect('postgresql://gpadmin@localhost:8000/madlib')\n",
"cur = conn.cursor()\n",
"\n",
"%sql DROP TABLE IF EXISTS model_arch_library;\n",
"query = \"SELECT madlib.load_keras_model('model_arch_library', %s, NULL, %s)\"\n",
"cur.execute(query,[model.to_json(), \"CNN from Keras docs for CIFAR-10\"])\n",
"conn.commit()\n",
"\n",
"# check model loaded OK\n",
"%sql SELECT model_id, name FROM model_arch_library;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"train\"></a>\n",
"# 5. Train"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>madlib_keras_fit</th>\n",
" </tr>\n",
" <tr>\n",
" <td></td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[('',)]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS cifar_10_model, cifar_10_model_summary;\n",
"\n",
"SELECT madlib.madlib_keras_fit('cifar_10_train_data_packed', -- source table\n",
" 'cifar_10_model', -- model output table\n",
" 'model_arch_library', -- model arch table\n",
" 1, -- model arch id\n",
" $$ loss='categorical_crossentropy', optimizer='rmsprop(lr=0.0001, decay=1e-6)', metrics=['accuracy']$$, -- compile_params\n",
" $$ batch_size=32, epochs=3 $$, -- fit_params\n",
" 3, -- num_iterations\n",
" FALSE, -- use GPUs\n",
" 'cifar_10_test_data_packed', -- validation dataset\n",
" 2 -- metrics compute frequency\n",
" );"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"View the model summary:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>source_table</th>\n",
" <th>model</th>\n",
" <th>dependent_varname</th>\n",
" <th>independent_varname</th>\n",
" <th>model_arch_table</th>\n",
" <th>model_id</th>\n",
" <th>compile_params</th>\n",
" <th>fit_params</th>\n",
" <th>num_iterations</th>\n",
" <th>validation_table</th>\n",
" <th>metrics_compute_frequency</th>\n",
" <th>name</th>\n",
" <th>description</th>\n",
" <th>model_type</th>\n",
" <th>model_size</th>\n",
" <th>start_training_time</th>\n",
" <th>end_training_time</th>\n",
" <th>metrics_elapsed_time</th>\n",
" <th>madlib_version</th>\n",
" <th>num_classes</th>\n",
" <th>class_values</th>\n",
" <th>dependent_vartype</th>\n",
" <th>normalizing_const</th>\n",
" <th>metrics_type</th>\n",
" <th>training_metrics_final</th>\n",
" <th>training_loss_final</th>\n",
" <th>training_metrics</th>\n",
" <th>training_loss</th>\n",
" <th>validation_metrics_final</th>\n",
" <th>validation_loss_final</th>\n",
" <th>validation_metrics</th>\n",
" <th>validation_loss</th>\n",
" <th>metrics_iters</th>\n",
" </tr>\n",
" <tr>\n",
" <td>cifar_10_train_data_packed</td>\n",
" <td>cifar_10_model</td>\n",
" <td>y</td>\n",
" <td>x</td>\n",
" <td>model_arch_library</td>\n",
" <td>1</td>\n",
" <td> loss='categorical_crossentropy', optimizer='rmsprop(lr=0.0001, decay=1e-6)', metrics=['accuracy']</td>\n",
" <td> batch_size=32, epochs=3 </td>\n",
" <td>3</td>\n",
" <td>cifar_10_test_data_packed</td>\n",
" <td>2</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>madlib_keras</td>\n",
" <td>4886.20019531</td>\n",
" <td>2019-12-18 21:46:34.610075</td>\n",
" <td>2019-12-18 22:01:06.754356</td>\n",
" <td>[568.416245222092, 872.144206047058]</td>\n",
" <td>1.17-dev</td>\n",
" <td>10</td>\n",
" <td>[u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9']</td>\n",
" <td>text</td>\n",
" <td>255.0</td>\n",
" <td>[u'accuracy']</td>\n",
" <td>0.612959980965</td>\n",
" <td>1.09410715103</td>\n",
" <td>[0.563260018825531, 0.612959980964661]</td>\n",
" <td>[1.22403216362, 1.09410715103149]</td>\n",
" <td>0.597299993038</td>\n",
" <td>1.12304246426</td>\n",
" <td>[0.55460000038147, 0.597299993038177]</td>\n",
" <td>[1.23818647861481, 1.12304246425629]</td>\n",
" <td>[2, 3]</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(u'cifar_10_train_data_packed', u'cifar_10_model', u'y', u'x', u'model_arch_library', 1, u\" loss='categorical_crossentropy', optimizer='rmsprop(lr=0.0001, decay=1e-6)', metrics=['accuracy']\", u' batch_size=32, epochs=3 ', 3, u'cifar_10_test_data_packed', 2, None, None, u'madlib_keras', 4886.20019531, datetime.datetime(2019, 12, 18, 21, 46, 34, 610075), datetime.datetime(2019, 12, 18, 22, 1, 6, 754356), [568.416245222092, 872.144206047058], u'1.17-dev', 10, [u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8', u'9'], u'text', 255.0, [u'accuracy'], 0.612959980965, 1.09410715103, [0.563260018825531, 0.612959980964661], [1.22403216362, 1.09410715103149], 0.597299993038, 1.12304246426, [0.55460000038147, 0.597299993038177], [1.23818647861481, 1.12304246425629], [2, 3])]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%sql\n",
"SELECT * FROM cifar_10_model_summary;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Evaluate using test data (same values as last iteration from the fit output summary above)."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n",
"1 rows affected.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/html": [
"<table>\n",
" <tr>\n",
" <th>loss</th>\n",
" <th>metric</th>\n",
" <th>metrics_type</th>\n",
" </tr>\n",
" <tr>\n",
" <td>1.12304246426</td>\n",
" <td>0.597299993038</td>\n",
" <td>[u'accuracy']</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
"[(1.12304246425629, 0.597299993038177, [u'accuracy'])]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS cifar10_validate;\n",
"\n",
"SELECT madlib.madlib_keras_evaluate('cifar_10_model', -- model\n",
" 'cifar_10_test_data_packed', -- test table\n",
" 'cifar10_validate' -- output table\n",
" );\n",
"\n",
"SELECT * FROM cifar10_validate;"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a id=\"plot\"></a>\n",
"# 6. Plots by iteration and by time\n",
"Accuracy by iteration"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n",
"1 rows affected.\n",
"1 rows affected.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x1195ef9d0>"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# get accuracy and iteration number\n",
"iters_proxy = %sql SELECT metrics_iters FROM cifar_10_model_summary;\n",
"train_accuracy_proxy = %sql SELECT training_metrics FROM cifar_10_model_summary;\n",
"test_accuracy_proxy = %sql SELECT validation_metrics FROM cifar_10_model_summary;\n",
"\n",
"# get number of points\n",
"num_points_proxy = %sql SELECT array_length(metrics_iters,1) FROM cifar_10_model_summary;\n",
"num_points = num_points_proxy[0]\n",
"\n",
"# reshape to np arrays\n",
"iters = np.array(iters_proxy).reshape(num_points)\n",
"train_accuracy = np.array(train_accuracy_proxy).reshape(num_points)\n",
"test_accuracy = np.array(test_accuracy_proxy).reshape(num_points)\n",
"\n",
"#plot\n",
"plt.title('CIFAR-10 accuracy by iteration')\n",
"plt.xlabel('Iteration number')\n",
"plt.ylabel('Accuracy')\n",
"plt.grid(True)\n",
"plt.plot(iters, train_accuracy, 'g.-', label='Train')\n",
"plt.plot(iters, test_accuracy, 'r.-', label='Test')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Loss by iteration"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n",
"1 rows affected.\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x119279910>"
]
},
"execution_count": 101,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# get loss\n",
"train_loss_proxy = %sql SELECT training_loss FROM cifar_10_model_summary;\n",
"test_loss_proxy = %sql SELECT validation_loss FROM cifar_10_model_summary;\n",
"\n",
"# reshape to np arrays\n",
"train_loss = np.array(train_loss_proxy).reshape(num_points)\n",
"test_loss = np.array(test_loss_proxy).reshape(num_points)\n",
"\n",
"#plot\n",
"plt.title('CIFAR-10 loss by iteration')\n",
"plt.xlabel('Iteration number')\n",
"plt.ylabel('Loss')\n",
"plt.grid(True)\n",
"plt.plot(iters, train_loss, 'g.-', label='Train')\n",
"plt.plot(iters, test_loss, 'r.-', label='Test')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Accuracy by time"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 rows affected.\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x119664410>"
]
},
"execution_count": 108,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# get time\n",
"time_proxy = %sql SELECT metrics_elapsed_time FROM cifar_10_model_summary;\n",
"\n",
"# reshape to np arrays\n",
"time = np.array(time_proxy).reshape(num_points)/60.0\n",
"\n",
"#plot\n",
"plt.title('CIFAR-10 accuracy by time')\n",
"plt.xlabel('Time (min)')\n",
"plt.ylabel('Accuracy')\n",
"plt.grid(True)\n",
"plt.plot(time, train_accuracy, 'g.-', label='Train')\n",
"plt.plot(time, test_accuracy, 'r.-', label='Test')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Time to achieve a given accuracy"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x119628690>"
]
},
"execution_count": 109,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#plot\n",
"plt.title('CIFAR-10 time by accuracy')\n",
"plt.xlabel('Accuracy')\n",
"plt.ylabel('Time (min)')\n",
"plt.grid(True)\n",
"plt.plot(train_accuracy, time, 'g.-', label='Train')\n",
"plt.plot(test_accuracy, time, 'r.-', label='Test')\n",
"plt.legend()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.16"
}
},
"nbformat": 4,
"nbformat_minor": 1
}