experiments/03-profile-workload-functions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare Workloads\n",
    "\n",
    "In this notebook, we will try to prepare the workloads that we will be applying\n",
    "to the deployments. Potentially, this leads to functions that will be called\n",
    "when we want to send traffic to the deployment and we want to measure the system's\n",
    "performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "using domain 192-168-23-125.nip.io\n",
      "fetching imagenet v2\n",
      "resizing images\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "converting to bentoml files\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "extracting base64 files\n"
     ]
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    {
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     "text": [
      "preprocessing for mobilenet\n"
     ]
    },
    {
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   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "from tqdm.auto import tqdm\n",
    "import itertools\n",
    "\n",
    "import os\n",
    "import time\n",
    "import traceback\n",
    "\n",
    "# my imports\n",
    "from helpers import kube\n",
    "from helpers import workload\n",
    "from helpers import util\n",
    "from helpers import request_funcs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
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   "source": [
    "config_names = [\n",
    "    'bentoml-iris-250m-512mb',\n",
    "    'bentoml-onnx-resnet50-250m-512mb',\n",
    "    'tfserving-resnetv2-250m-512mb',\n",
    "    'tfserving-mobilenetv1-250m-512mb',\n",
    "    'bentoml-pytorch-fashionmnist-250m-512mb',\n",
    "    'bentoml-keras-toxic-comments-250m-512mb',\n",
    "]\n",
    "\n",
    "workload_configs = {}\n",
    "for exp_config_name in config_names:\n",
    "    exp_file = f\"deployments/{exp_config_name}.json\"\n",
    "    workload_spec = util.load_json_file(exp_file)\n",
    "    workload_configs[workload_spec['name']] = workload_spec\n"
   ]
  },
  {
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   "execution_count": 3,
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     "text": [
      "configurables: ['cpu_m', 'batch_size']\n",
      "{'cpu_m': 250, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=250m,memory=375Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=250m,memory=375Mi' \\\n",
      "  --request 'cpu=250m,memory=375Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "Applying service 'bentoml-iris' in namespace 'default':\r\n",
      "\r\n",
      "  0.037s The Configuration is still working to reflect the latest desired specification.\r\n",
      "  5.399s Traffic is not yet migrated to the latest revision.\r\n",
      "  5.431s Ingress has not yet been reconciled.\r\n",
      "  5.473s Waiting for load balancer to be ready\r\n",
      "  5.791s Ready to serve.\r\n",
      "\r\n",
      "Service 'bentoml-iris' applied to latest revision 'bentoml-iris-00028' is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 1\n"
     ]
    },
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     "text": [
      "{'cpu_m': 250, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=250m,memory=375Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=250m,memory=375Mi' \\\n",
      "  --request 'cpu=250m,memory=375Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00028' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 10\n"
     ]
    },
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     "text": [
      "{'cpu_m': 250, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=250m,memory=375Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=250m,memory=375Mi' \\\n",
      "  --request 'cpu=250m,memory=375Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00028' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 50\n"
     ]
    },
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     "text": [
      "{'cpu_m': 250, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=250m,memory=375Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=250m,memory=375Mi' \\\n",
      "  --request 'cpu=250m,memory=375Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00028' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 100\n"
     ]
    },
    {
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     "text": [
      "{'cpu_m': 1000, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "Applying service 'bentoml-iris' in namespace 'default':\r\n",
      "\r\n",
      "  0.024s The Configuration is still working to reflect the latest desired specification.\r\n",
      "  2.851s Traffic is not yet migrated to the latest revision.\r\n",
      "  2.874s Ingress has not yet been reconciled.\r\n",
      "  2.919s Waiting for load balancer to be ready\r\n",
      "  3.086s Ready to serve.\r\n",
      "\r\n",
      "Service 'bentoml-iris' applied to latest revision 'bentoml-iris-00029' is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 1\n"
     ]
    },
    {
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     "text": [
      "{'cpu_m': 1000, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00029' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 10\n"
     ]
    },
    {
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     "text": [
      "{'cpu_m': 1000, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00029' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 50\n"
     ]
    },
    {
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     "text": [
      "{'cpu_m': 1000, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-iris --image ghcr.io/nimamahmoudi/bentoml-iris-classifier:20210429201447 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-iris'.\r\n",
      "Service 'bentoml-iris' with latest revision 'bentoml-iris-00029' (unchanged) is available at URL:\r\n",
      "http://bentoml-iris.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-iris workload function, batch_size: 100\n"
     ]
    },
    {
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   ],
   "source": [
    "def experiment_batch(warmup_req_count, total_req_count, batch_size, service_name, cpu_m):\n",
    "    # apply new cpu configuration to the deployment\n",
    "    ram_mb = int(cpu_m * 1.5)\n",
    "    request_limit_override = f\"'cpu={cpu_m}m,memory={ram_mb}Mi'\"\n",
    "    print('Request Limit Overrid:', request_limit_override)\n",
    "\n",
    "    workload_spec = workload_configs[service_name]\n",
    "    # override request and limit values\n",
    "    workload_spec['opts']['--request'] = request_limit_override\n",
    "    workload_spec['opts']['--limit'] = request_limit_override\n",
    "    kn_command = kube.get_kn_command(**workload_spec)\n",
    "    print(kn_command)\n",
    "    !{kn_command}\n",
    "    print('waiting for settings to converge')\n",
    "    time.sleep(10)\n",
    "\n",
    "    # an array as the same length as \n",
    "    batch_results = {\n",
    "        'response_times_ms': [],\n",
    "    }\n",
    "    reqs_failed = 0\n",
    "    reqs_succeeded = 0\n",
    "\n",
    "    print('warming up...')\n",
    "    for _ in range(warmup_req_count):\n",
    "        try:\n",
    "            # discard the results\n",
    "            request_funcs.workload_funcs[service_name](batch_size=batch_size)\n",
    "        except Exception:\n",
    "            print('exception occured:')\n",
    "            traceback.print_exc()\n",
    "\n",
    "    # running the main workload\n",
    "    print(f'running {service_name} workload function, batch_size: {batch_size}')\n",
    "    for _ in tqdm(range(total_req_count)):\n",
    "        try:\n",
    "            result = request_funcs.workload_funcs[service_name](batch_size=batch_size)\n",
    "            batch_results['response_times_ms'].append(result['response_time_ms'])\n",
    "            reqs_succeeded += 1\n",
    "        except Exception:\n",
    "            print('exception occured:')\n",
    "            traceback.print_exc()\n",
    "            reqs_failed += 1\n",
    "\n",
    "    batch_results.update({\n",
    "        'reqs_failed': reqs_failed,\n",
    "        'reqs_succeeded': reqs_succeeded,\n",
    "        'ram_mb': ram_mb,\n",
    "    })\n",
    "\n",
    "    return batch_results\n",
    "\n",
    "def perform_experiment_batch(config):\n",
    "    # configurables = ['batch_size']\n",
    "    configurables = [k for k in config if isinstance(config[k], list)]\n",
    "    print(f'configurables: {configurables}')\n",
    "\n",
    "    # make a copy of config\n",
    "    config_base = {k:config[k] for k in config if k not in configurables}\n",
    "    configurable_base = {k:config[k] for k in config if k in configurables}\n",
    "\n",
    "    results = []\n",
    "    config_combinations_keys = list(configurable_base.keys())\n",
    "    for config_combination in itertools.product(*configurable_base.values()):\n",
    "        configurable = {config_combinations_keys[i]: config_combination[i]  for i in range(len(config_combinations_keys))}\n",
    "        \n",
    "        print(configurable)\n",
    "        new_config = {**config_base}\n",
    "        new_config.update(configurable)\n",
    "\n",
    "        result = experiment_batch(**new_config)\n",
    "        new_config.update(result)\n",
    "        results.append(new_config)\n",
    "        \n",
    "    return results\n",
    "\n",
    "config = {\n",
    "    'warmup_req_count': 20,\n",
    "    'total_req_count': 10,\n",
    "    'service_name': 'bentoml-iris',\n",
    "    # cpu_m should always be the first to avoid changing deployment too much\n",
    "    'cpu_m': [250,1000],\n",
    "    'batch_size': [1,10,50,100],\n",
    "}\n",
    "results = perform_experiment_batch(config)"
   ]
  },
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>warmup_req_count</th>\n",
       "      <th>total_req_count</th>\n",
       "      <th>service_name</th>\n",
       "      <th>cpu_m</th>\n",
       "      <th>batch_size</th>\n",
       "      <th>response_times_ms</th>\n",
       "      <th>reqs_failed</th>\n",
       "      <th>reqs_succeeded</th>\n",
       "      <th>ram_mb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>250</td>\n",
       "      <td>1</td>\n",
       "      <td>[54.974000000000004, 10.531, 10.574, 10.441, 6...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>250</td>\n",
       "      <td>10</td>\n",
       "      <td>[12.508000000000001, 33.415, 9.84, 9.062000000...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>250</td>\n",
       "      <td>50</td>\n",
       "      <td>[55.244, 12.101, 11.325999999999999, 70.69, 12...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>250</td>\n",
       "      <td>100</td>\n",
       "      <td>[11.521999999999998, 47.107000000000006, 11.53...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>[10.696000000000002, 9.350000000000001, 9.5650...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "      <td>[11.062000000000001, 9.238, 9.51, 9.328, 9.542...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>1000</td>\n",
       "      <td>50</td>\n",
       "      <td>[10.841, 10.031, 9.154, 9.046999999999999, 8.6...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>bentoml-iris</td>\n",
       "      <td>1000</td>\n",
       "      <td>100</td>\n",
       "      <td>[14.424, 10.175, 9.785, 9.575999999999999, 10....</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   warmup_req_count  total_req_count  service_name  cpu_m  batch_size  \\\n",
       "0                20               10  bentoml-iris    250           1   \n",
       "1                20               10  bentoml-iris    250          10   \n",
       "2                20               10  bentoml-iris    250          50   \n",
       "3                20               10  bentoml-iris    250         100   \n",
       "4                20               10  bentoml-iris   1000           1   \n",
       "5                20               10  bentoml-iris   1000          10   \n",
       "6                20               10  bentoml-iris   1000          50   \n",
       "7                20               10  bentoml-iris   1000         100   \n",
       "\n",
       "                                   response_times_ms  reqs_failed  \\\n",
       "0  [54.974000000000004, 10.531, 10.574, 10.441, 6...            0   \n",
       "1  [12.508000000000001, 33.415, 9.84, 9.062000000...            0   \n",
       "2  [55.244, 12.101, 11.325999999999999, 70.69, 12...            0   \n",
       "3  [11.521999999999998, 47.107000000000006, 11.53...            0   \n",
       "4  [10.696000000000002, 9.350000000000001, 9.5650...            0   \n",
       "5  [11.062000000000001, 9.238, 9.51, 9.328, 9.542...            0   \n",
       "6  [10.841, 10.031, 9.154, 9.046999999999999, 8.6...            0   \n",
       "7  [14.424, 10.175, 9.785, 9.575999999999999, 10....            0   \n",
       "\n",
       "   reqs_succeeded  ram_mb  \n",
       "0              10     375  \n",
       "1              10     375  \n",
       "2              10     375  \n",
       "3              10     375  \n",
       "4              10    1500  \n",
       "5              10    1500  \n",
       "6              10    1500  \n",
       "7              10    1500  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def post_process(df):\n",
    "    df['resp_time_avg'] = df.apply(lambda x: np.mean(x['response_times_ms']), axis=1)\n",
    "    for percentile in [50,90,95,99]:\n",
    "        df[f'resp_time_p{percentile}'] = df.apply(lambda x: np.percentile(x['response_times_ms'], percentile), axis=1)\n",
    "    return df\n",
    "\n",
    "\n",
    "df = pd.DataFrame(data=results)\n",
    "# df = post_process(df)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-26T17:22:53.615824Z",
     "iopub.status.busy": "2021-07-26T17:22:53.615281Z",
     "iopub.status.idle": "2021-07-26T17:22:53.811838Z",
     "shell.execute_reply": "2021-07-26T17:22:53.811318Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "all_configs = [\n",
    "    # {\n",
    "    #     'warmup_req_count': 200,\n",
    "    #     'total_req_count': 10000,\n",
    "    #     'service_name': 'bentoml-iris',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,5,10,20,50,100],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'tfserving-resnetv2',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,2,3,5,10],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'tfserving-mobilenetv1',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,2,3,5],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'bentoml-onnx-resnet50',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,2,3,5,10],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 10000,\n",
    "    #     'service_name': 'bentoml-pytorch-fashion-mnist',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,5,10,20,50,100],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 10000,\n",
    "    #     'service_name': 'bentoml-keras-toxic-comments',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [1000],\n",
    "    #     'batch_size': [1,5,10,20,50,100],\n",
    "    # },\n",
    "]\n",
    "results_folder = './results/batch_experiments_default'\n",
    "\n",
    "\n",
    "!mkdir -p {results_folder}\n",
    "for config in all_configs:\n",
    "    service_name = config['service_name']\n",
    "\n",
    "    results = perform_experiment_batch(config)\n",
    "    df = pd.DataFrame(data=results)\n",
    "\n",
    "    now = util.get_time_with_tz()\n",
    "    res_name = now.strftime(f'{service_name}_%Y-%m-%d_%H-%M-%S')\n",
    "    print('res_name:', res_name)\n",
    "    df.to_csv(f'{results_folder}/{res_name}.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-26T17:22:53.820626Z",
     "iopub.status.busy": "2021-07-26T17:22:53.820070Z",
     "iopub.status.idle": "2021-07-26T18:01:59.926512Z",
     "shell.execute_reply": "2021-07-26T18:01:59.926864Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "configurables: ['cpu_m', 'batch_size']\n",
      "{'cpu_m': 500, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d7d7c07d03f49da883994038d95bfee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 500, 'batch_size': 5}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "97e6f27c901d4d57a0051c33edce53bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 500, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 10\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d285d93eb07d4c8da52765634128cd5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 500, 'batch_size': 20}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 20\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e17569a4e34448db9b2a965c69b460e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 500, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0cd25cbddebe488cb50d0e989e421f11",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 500, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=500m,memory=750Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=500m,memory=750Mi' \\\n",
      "  --request 'cpu=500m,memory=750Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00023' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 100\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "798adeee7c404c7981315a5a5e4108b1",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "Applying service 'bentoml-keras-toxic-comments' in namespace 'default':\r\n",
      "\r\n",
      "  0.033s The Configuration is still working to reflect the latest desired specification.\r\n",
      "  9.760s Traffic is not yet migrated to the latest revision.\r\n",
      "  9.819s Ingress has not yet been reconciled.\r\n",
      "  9.847s Waiting for load balancer to be ready\r\n",
      " 10.371s Ready to serve.\r\n",
      "\r\n",
      "Service 'bentoml-keras-toxic-comments' applied to latest revision 'bentoml-keras-toxic-comments-00024' is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2ee937da2e1e449ba1f9ef7865ec4fac",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 5}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00024' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ef0cc017037f46fc8800f9c8ce22a237",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00024' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 10\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "38d34c30dec2449996b65b23b9715345",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 20}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00024' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 20\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c7383bfa4be14e51930a54e34ad63e6e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00024' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3499767042c8423eb1b9d8f86c35838b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1000, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=1000m,memory=1500Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1000m,memory=1500Mi' \\\n",
      "  --request 'cpu=1000m,memory=1500Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00024' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 100\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "03901a72736f49698ba6189a990c1780",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "Applying service 'bentoml-keras-toxic-comments' in namespace 'default':\r\n",
      "\r\n",
      "  0.023s The Configuration is still working to reflect the latest desired specification.\r\n",
      " 10.785s Traffic is not yet migrated to the latest revision.\r\n",
      " 10.828s Ingress has not yet been reconciled.\r\n",
      " 10.856s Waiting for load balancer to be ready\r\n",
      " 11.029s Ready to serve.\r\n",
      "\r\n",
      "Service 'bentoml-keras-toxic-comments' applied to latest revision 'bentoml-keras-toxic-comments-00025' is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d5da9a3107b84707a5baefdd01b4281e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 5}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00025' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "37e2f6e9523f4505ab83103ae14871a1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00025' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 10\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f8185211b5e347289831f524155ba573",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 20}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00025' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 20\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c8b8b53ff8941538e4ae6d6d7dce889",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00025' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58465a21541643439586cd97dec13069",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 1500, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=1500m,memory=2250Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=1500m,memory=2250Mi' \\\n",
      "  --request 'cpu=1500m,memory=2250Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00025' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 100\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "155f32d12b144885b0b9e4e59897e083",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 2000, 'batch_size': 1}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "Applying service 'bentoml-keras-toxic-comments' in namespace 'default':\r\n",
      "\r\n",
      "  0.030s The Configuration is still working to reflect the latest desired specification.\r\n",
      "  9.675s Traffic is not yet migrated to the latest revision.\r\n",
      "  9.703s Ingress has not yet been reconciled.\r\n",
      "  9.742s Waiting for load balancer to be ready\r\n",
      " 10.057s Ready to serve.\r\n",
      "\r\n",
      "Service 'bentoml-keras-toxic-comments' applied to latest revision 'bentoml-keras-toxic-comments-00026' is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "255586af1b05499abd64fd8ef74d4718",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 2000, 'batch_size': 5}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00026' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 5\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9b4cf7e5a3fe45c8b6b51d7f1a2d273d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 2000, 'batch_size': 10}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00026' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 10\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f3d5c4208009483a9fa57feba4e2d59e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cpu_m': 2000, 'batch_size': 20}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00026' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 20\n"
     ]
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      "{'cpu_m': 2000, 'batch_size': 50}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00026' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 50\n"
     ]
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     "text": [
      "{'cpu_m': 2000, 'batch_size': 100}\n",
      "Request Limit Overrid: 'cpu=2000m,memory=3000Mi'\n",
      "kn service apply bentoml-keras-toxic-comments --image ghcr.io/nimamahmoudi/bentoml-keras-toxic-comment-classification:20210622155420 \\\n",
      "  --limit 'cpu=2000m,memory=3000Mi' \\\n",
      "  --request 'cpu=2000m,memory=3000Mi' \\\n",
      "  --port 5000 \\\n",
      "  -a autoscaling.knative.dev/target=1 \\\n",
      "  -a autoscaling.knative.dev/metric=concurrency\n",
      "No changes to apply to service 'bentoml-keras-toxic-comments'.\r\n",
      "Service 'bentoml-keras-toxic-comments' with latest revision 'bentoml-keras-toxic-comments-00026' (unchanged) is available at URL:\r\n",
      "http://bentoml-keras-toxic-comments.default.192-168-23-125.nip.io\r\n",
      "waiting for settings to converge\n",
      "warming up...\n",
      "running bentoml-keras-toxic-comments workload function, batch_size: 100\n"
     ]
    },
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     "text": [
      "res_name: bentoml-keras-toxic-comments_2021-07-26_14-01-59\n"
     ]
    }
   ],
   "source": [
    "all_configs = [\n",
    "    # {\n",
    "    #     'warmup_req_count': 200,\n",
    "    #     'total_req_count': 10000,\n",
    "    #     'service_name': 'bentoml-iris',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [250,500,1000,1500,2000],\n",
    "    #     'batch_size': [1,5,10,20,50,100],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'tfserving-resnetv2',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [500,1000,1500,2000],\n",
    "    #     'batch_size': [1,2,3,5,10],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'tfserving-mobilenetv1',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [250,500,1000,1500,2000],\n",
    "    #     'batch_size': [1,2,3,5],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 1000,\n",
    "    #     'service_name': 'bentoml-onnx-resnet50',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [250,500,1000,1500,2000],\n",
    "    #     'batch_size': [1,2,3,5,10],\n",
    "    # },\n",
    "    # {\n",
    "    #     'warmup_req_count': 20,\n",
    "    #     'total_req_count': 10000,\n",
    "    #     'service_name': 'bentoml-pytorch-fashion-mnist',\n",
    "    #     # cpu_m should always be the first to avoid changing deployment too much\n",
    "    #     'cpu_m': [250,500,1000,1500,2000],\n",
    "    #     'batch_size': [1,5,10,20,50,100],\n",
    "    # },\n",
    "    {\n",
    "        'warmup_req_count': 20,\n",
    "        'total_req_count': 1000,\n",
    "        'service_name': 'bentoml-keras-toxic-comments',\n",
    "        # cpu_m should always be the first to avoid changing deployment too much\n",
    "        'cpu_m': [500,1000,1500,2000],\n",
    "        'batch_size': [1,5,10,20,50,100],\n",
    "    },\n",
    "]\n",
    "results_folder = './results/batch_experiments_var_cpu'\n",
    "\n",
    "\n",
    "!mkdir -p {results_folder}\n",
    "for config in all_configs:\n",
    "    service_name = config['service_name']\n",
    "\n",
    "    results = perform_experiment_batch(config)\n",
    "    df = pd.DataFrame(data=results)\n",
    "\n",
    "    now = util.get_time_with_tz()\n",
    "    res_name = now.strftime(f'{service_name}_%Y-%m-%d_%H-%M-%S')\n",
    "    print('res_name:', res_name)\n",
    "    df.to_csv(f'{results_folder}/{res_name}.csv')"
   ]
  }
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