{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9f0916d5",
   "metadata": {},
   "source": [
    "# <B> Model Deployment </B>\n",
    "* Container: codna_pytorch_py39"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95f12c06",
   "metadata": {},
   "source": [
    "## AutoReload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "87188bfb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "122ce182",
   "metadata": {},
   "source": [
    "## 1. parameter store 설정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "67e463c3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import boto3\n",
    "from utils.ssm import parameter_store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "615db888",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "strRegionName=boto3.Session().region_name\n",
    "pm = parameter_store(strRegionName)\n",
    "prefix = pm.get_params(key=\"PREFIX\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40253673",
   "metadata": {},
   "source": [
    "## 2.package import for model deployment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f69d0ea4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sagemaker\n",
    "from sagemaker.pytorch.model import PyTorchModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a494fa65",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from time import strftime\n",
    "from smexperiments.trial import Trial\n",
    "from smexperiments.experiment import Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7caa5ba2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def create_experiment(experiment_name):\n",
    "    try:\n",
    "        sm_experiment = Experiment.load(experiment_name)\n",
    "    except:\n",
    "        sm_experiment = Experiment.create(experiment_name=experiment_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "875fd63c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def create_trial(experiment_name):\n",
    "    create_date = strftime(\"%m%d-%H%M%s\")\n",
    "    sm_trial = Trial.create(trial_name=f'{experiment_name}-{create_date}',\n",
    "                            experiment_name=experiment_name)\n",
    "\n",
    "    job_name = f'{sm_trial.trial_name}'\n",
    "    return job_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e416e7e3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sagemaker_role_arn: arn:aws:iam::419974056037:role/service-role/AmazonSageMaker-ExecutionRole-20221206T163436\n",
      "model_artifact_s3_uri: s3://sm-nemo-ramp/nemo-asr/training/model-output/nemo-asr-nemo-experiments-0322-10521679482352/output/model.tar.gz\n",
      "inf_image_uri: 419974056037.dkr.ecr.us-east-1.amazonaws.com/nemo-test-inference\n",
      "code_location: s3://sm-nemo-ramp/nemo-asr/inference/backup_codes\n",
      "monitor_output: s3://sm-nemo-ramp/nemo-asr/inference/monitor_output\n",
      "git_config: {'repo': 'https://git-codecommit.us-east-1.amazonaws.com/v1/repos/nemo-code', 'branch': 'main', 'username': 'dongjin-at-419974056037', 'password': 'wtLv/fP4ESjBDnyW5xgqFPGR0dMTIyK5/8gK6IS1Zsg='}\n"
     ]
    }
   ],
   "source": [
    "local_mode = True\n",
    "\n",
    "if local_mode: \n",
    "    inference_instance_type = 'local_gpu'\n",
    "    \n",
    "    import os\n",
    "    from sagemaker.local import LocalSession\n",
    "    \n",
    "    sagemaker_session = LocalSession()\n",
    "    sagemaker_session.config = {'local': {'local_code': True}}\n",
    "    \n",
    "else:\n",
    "    inference_instance_type = \"ml.g4dn.xlarge\"\n",
    "    sagemaker_session = sagemaker.Session()\n",
    "    \n",
    "\n",
    "\n",
    "sagemaker_role_arn = pm.get_params(key=prefix + '-SAGEMAKER-ROLE-ARN')    \n",
    "bucket_name = pm.get_params(key=prefix + '-BUCKET')\n",
    "model_artifact_s3_uri = pm.get_params(key=prefix + '-MODEL-PATH')\n",
    "inf_image_uri = pm.get_params(key=''.join([prefix, '-INF-IMAGE-URI']))\n",
    "\n",
    "code_location= os.path.join(\n",
    "    \"s3://{}\".format(bucket_name),\n",
    "    prefix,\n",
    "    \"inference\",\n",
    "    \"backup_codes\"\n",
    ")\n",
    "\n",
    "monitor_output= os.path.join(\n",
    "    \"s3://{}\".format(bucket_name),\n",
    "    prefix,\n",
    "    \"inference\",\n",
    "    \"monitor_output\"\n",
    ")\n",
    "\n",
    "git_config = {\n",
    "    'repo': f'https://{pm.get_params(key=\"-\".join([prefix, \"CODE_REPO\"]))}',\n",
    "    'branch': 'main',\n",
    "    'username': pm.get_params(key=\"-\".join([prefix, \"CODECOMMIT-USERNAME\"]), enc=True),\n",
    "    'password': pm.get_params(key=\"-\".join([prefix, \"CODECOMMIT-PWD\"]), enc=True)\n",
    "}  \n",
    "\n",
    "print (f\"sagemaker_role_arn: {sagemaker_role_arn}\")\n",
    "print (f\"model_artifact_s3_uri: {model_artifact_s3_uri}\")\n",
    "print (f\"inf_image_uri: {inf_image_uri}\")\n",
    "print (f\"code_location: {code_location}\")\n",
    "print (f\"monitor_output: {monitor_output}\")\n",
    "print (f\"git_config: {git_config}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f5ef566",
   "metadata": {},
   "source": [
    "* Define inference job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "36a23bac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cloning into '/tmp/tmpz7ocy0g2'...\n",
      "remote: Counting objects: 20, done.        \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your branch is up to date with 'origin/main'.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Already on 'main'\n"
     ]
    }
   ],
   "source": [
    "model = PyTorchModel(\n",
    "    entry_point='predictor.py',\n",
    "    source_dir='./code',\n",
    "    git_config=git_config,\n",
    "    code_location=code_location,\n",
    "    model_data=model_artifact_s3_uri,\n",
    "    role=sagemaker_role_arn,\n",
    "    image_uri=inf_image_uri,\n",
    "    # framework_version=\"1.13.1\",\n",
    "    # py_version=\"py39\",\n",
    "    sagemaker_session=sagemaker_session\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6b981409",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "if local_mode: \n",
    "    data_capture_config = None\n",
    "else:\n",
    "    from sagemaker.model_monitor import DataCaptureConfig\n",
    "\n",
    "    data_capture_config = DataCaptureConfig(\n",
    "        enable_capture=True,\n",
    "        sampling_percentage=100,\n",
    "        destination_s3_uri=monitor_output\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7ae28e0c",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:botocore.credentials:Found credentials from IAM Role: BaseNotebookInstanceEc2InstanceRole\n",
      "INFO:botocore.credentials:Found credentials from IAM Role: BaseNotebookInstanceEc2InstanceRole\n",
      "INFO:botocore.credentials:Found credentials from IAM Role: BaseNotebookInstanceEc2InstanceRole\n",
      "INFO:sagemaker:Creating model with name: nemo-test-inference-2023-03-22-11-38-32-323\n",
      "INFO:sagemaker:Creating endpoint-config with name nemo-asr-nemo-experiments-0322-11371679485066\n",
      "INFO:sagemaker:Creating endpoint with name nemo-asr-nemo-experiments-0322-11371679485066\n",
      "INFO:sagemaker.local.image:serving\n",
      "INFO:sagemaker.local.image:creating hosting dir in /tmp/tmpkdalsucj\n",
      "INFO:botocore.credentials:Found credentials from IAM Role: BaseNotebookInstanceEc2InstanceRole\n",
      "INFO:sagemaker.local.image:No AWS credentials found in session but credentials from EC2 Metadata Service are available.\n",
      "INFO:sagemaker.local.image:docker compose file: \n",
      "networks:\n",
      "  sagemaker-local:\n",
      "    name: sagemaker-local\n",
      "services:\n",
      "  algo-1-62uxc:\n",
      "    command: serve\n",
      "    container_name: w00uaj7h7n-algo-1-62uxc\n",
      "    deploy:\n",
      "      resources:\n",
      "        reservations:\n",
      "          devices:\n",
      "          - capabilities:\n",
      "            - gpu\n",
      "    environment:\n",
      "    - '[Masked]'\n",
      "    - '[Masked]'\n",
      "    - '[Masked]'\n",
      "    - '[Masked]'\n",
      "    image: 419974056037.dkr.ecr.us-east-1.amazonaws.com/nemo-test-inference\n",
      "    networks:\n",
      "      sagemaker-local:\n",
      "        aliases:\n",
      "        - algo-1-62uxc\n",
      "    ports:\n",
      "    - 8080:8080\n",
      "    stdin_open: true\n",
      "    tty: true\n",
      "    volumes:\n",
      "    - /tmp/tmpme1pu6_2:/opt/ml/model\n",
      "version: '2.3'\n",
      "\n",
      "INFO:sagemaker.local.image:docker command: docker-compose -f /tmp/tmpkdalsucj/docker-compose.yaml up --build --abort-on-container-exit\n",
      "INFO:sagemaker.local.entities:Checking if serving container is up, attempt: 5\n",
      "WARNING:urllib3.connectionpool:Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc270597400>: Failed to establish a new connection: [Errno 111] Connection refused')': /ping\n",
      "WARNING:urllib3.connectionpool:Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc2705978e0>: Failed to establish a new connection: [Errno 111] Connection refused')': /ping\n",
      "WARNING:urllib3.connectionpool:Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc270597f10>: Failed to establish a new connection: [Errno 111] Connection refused')': /ping\n",
      "INFO:sagemaker.local.entities:Container still not up, got: -1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Attaching to w00uaj7h7n-algo-1-62uxc\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m ['torchserve', '--start', '--model-store', '/.sagemaker/ts/models', '--ts-config', '/etc/sagemaker-ts.properties', '--log-config', '/opt/conda/lib/python3.9/site-packages/sagemaker_pytorch_serving_container/etc/log4j2.xml', '--models', 'model=/opt/ml/model']\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m WARNING: sun.reflect.Reflection.getCallerClass is not supported. This will impact performance.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Warning: Nashorn engine is planned to be removed from a future JDK release\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Warning: Nashorn engine is planned to be removed from a future JDK release\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,658 [INFO ] main org.pytorch.serve.servingsdk.impl.PluginsManager - Initializing plugins manager...\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,763 [INFO ] main org.pytorch.serve.ModelServer - \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Torchserve version: 0.7.0\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m TS Home: /opt/conda/lib/python3.9/site-packages\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Current directory: /\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Temp directory: /home/model-server/tmp\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Metrics config path: /opt/conda/lib/python3.9/site-packages/ts/configs/metrics.yaml\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Number of GPUs: 1\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Number of CPUs: 8\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Max heap size: 15322 M\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Python executable: /opt/conda/bin/python3.9\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Config file: /etc/sagemaker-ts.properties\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Inference address: http://0.0.0.0:8080\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Management address: http://0.0.0.0:8080\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Metrics address: http://127.0.0.1:8082\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Model Store: /.sagemaker/ts/models\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Initial Models: model=/opt/ml/model\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Log dir: /logs\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Metrics dir: /logs\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Netty threads: 0\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Netty client threads: 0\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Default workers per model: 1\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Blacklist Regex: N/A\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Maximum Response Size: 6553500\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Maximum Request Size: 6553500\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Limit Maximum Image Pixels: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Prefer direct buffer: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Allowed Urls: [file://.*|http(s)?://.*]\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Custom python dependency for model allowed: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Metrics report format: prometheus\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Enable metrics API: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Workflow Store: /.sagemaker/ts/models\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Model config: N/A\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,772 [INFO ] main org.pytorch.serve.servingsdk.impl.PluginsManager -  Loading snapshot serializer plugin...\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,801 [INFO ] main org.pytorch.serve.ModelServer - Loading initial models: /opt/ml/model\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,804 [WARN ] main org.pytorch.serve.archive.model.ModelArchive - Model archive version is not defined. Please upgrade to torch-model-archiver 0.2.0 or higher\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,805 [WARN ] main org.pytorch.serve.archive.model.ModelArchive - Model archive createdOn is not defined. Please upgrade to torch-model-archiver 0.2.0 or higher\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,806 [INFO ] main org.pytorch.serve.wlm.ModelManager - Model model loaded.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,819 [INFO ] main org.pytorch.serve.ModelServer - Initialize Inference server with: EpollServerSocketChannel.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,940 [INFO ] main org.pytorch.serve.ModelServer - Inference API bind to: http://0.0.0.0:8080\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,941 [INFO ] main org.pytorch.serve.ModelServer - Initialize Metrics server with: EpollServerSocketChannel.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:44,943 [INFO ] main org.pytorch.serve.ModelServer - Metrics API bind to: http://127.0.0.1:8082\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:sagemaker.local.entities:Checking if serving container is up, attempt: 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m Model server started.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,226 [WARN ] pool-3-thread-1 org.pytorch.serve.metrics.MetricCollector - worker pid is not available yet.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,408 [INFO ] pool-2-thread-2 ACCESS_LOG - /172.19.0.1:42912 \"GET /ping HTTP/1.1\" 200 45\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,412 [INFO ] pool-2-thread-2 TS_METRICS - Requests2XX.Count:1|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,863 [INFO ] pool-3-thread-1 TS_METRICS - CPUUtilization.Percent:0.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,864 [INFO ] pool-3-thread-1 TS_METRICS - DiskAvailable.Gigabytes:445.66086196899414|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,864 [INFO ] pool-3-thread-1 TS_METRICS - DiskUsage.Gigabytes:32.492488861083984|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,865 [INFO ] pool-3-thread-1 TS_METRICS - DiskUtilization.Percent:6.8|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,865 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUtilization.Percent:0.0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,865 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUsed.Megabytes:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,866 [INFO ] pool-3-thread-1 TS_METRICS - GPUUtilization.Percent:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,866 [INFO ] pool-3-thread-1 TS_METRICS - MemoryAvailable.Megabytes:57296.1328125|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,866 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUsed.Megabytes:3298.69921875|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:45,867 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUtilization.Percent:6.5|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,293 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Listening on port: /home/model-server/tmp/.ts.sock.9000\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,299 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Successfully loaded /opt/conda/lib/python3.9/site-packages/ts/configs/metrics.yaml.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,300 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - [PID]50\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,300 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Torch worker started.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,301 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Python runtime: 3.9.13\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,306 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Connecting to: /home/model-server/tmp/.ts.sock.9000\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,313 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Connection accepted: /home/model-server/tmp/.ts.sock.9000.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,317 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Flushing req. to backend at: 1679485126317\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:46,340 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - model_name: model, batchSize: 1\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:48,257 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Created a temporary directory at /home/model-server/tmp/tmpl0pkjbc2\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:48,258 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Writing /home/model-server/tmp/tmpl0pkjbc2/_remote_module_non_scriptable.py\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:48,394 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - [NeMo W 2023-03-22 11:38:48 optimizers:54] Apex was not found. Using the lamb or fused_adam optimizer will error out.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:49,476 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - [NeMo W 2023-03-22 11:38:49 experimental:27] Module <class 'nemo.collections.asr.modules.audio_modules.SpectrogramToMultichannelFeatures'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,035 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - generated new fontManager\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,655 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - ***************** model_fn ********************\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,656 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Lightning automatically upgraded your loaded checkpoint from v1.8.6 to v1.9.4. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint --file Conformer-CTC-Char1/checkpoints/Conformer-CTC-Char1--val_wer=1.0000-epoch=2-last.ckpt`\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,732 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - [NeMo W 2023-03-22 11:38:50 modelPT:161] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,732 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     Train config : \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,733 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     manifest_filepath: /opt/ml/input/data/training/an4/train_manifest.json\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,733 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     labels:\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,733 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ' '\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,734 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - a\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,734 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - b\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,734 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - c\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,735 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - d\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,735 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - e\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,735 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - f\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,736 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - g\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,736 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - h\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,737 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - i\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,737 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - j\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,737 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - k\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,738 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - l\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,738 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - m\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,738 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'n'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,739 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - o\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,739 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - p\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,740 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - q\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,740 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - r\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,740 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - s\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,741 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - t\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,741 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - u\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,741 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - v\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,742 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - w\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,742 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - x\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,743 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'y'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,743 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - z\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,743 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ''''\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,744 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     sample_rate: 16000\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,744 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     batch_size: 16\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,744 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     shuffle: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,745 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     num_workers: 8\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,745 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     pin_memory: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,745 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     trim_silence: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,745 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - [NeMo I 2023-03-22 11:38:50 features:287] PADDING: 0\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,746 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     max_duration: 16.7\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,746 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     min_duration: 0.1\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,747 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     is_tarred: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,747 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     tarred_audio_filepaths: null\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,747 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     shuffle_n: 2048\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,748 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     bucketing_strategy: synced_randomized\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,748 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     bucketing_batch_size: null\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,749 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,749 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - [NeMo W 2023-03-22 11:38:50 modelPT:168] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,750 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     Validation config : \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,750 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     manifest_filepath: /opt/ml/input/data/testing/an4/test_manifest.json\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,751 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     labels:\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,751 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ' '\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,752 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - a\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,752 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - b\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,752 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - c\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,753 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - d\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,753 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - e\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,753 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - f\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,754 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - g\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,754 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - h\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,754 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - i\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,755 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - j\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,755 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - k\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,755 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - l\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,756 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - m\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,756 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'n'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,756 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - o\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,757 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - p\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,757 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - q\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,757 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - r\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,758 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - s\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,758 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - t\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,758 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - u\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,759 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - v\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,759 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - w\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,759 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - x\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,759 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'y'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,760 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - z\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,760 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ''''\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,760 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     sample_rate: 16000\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,761 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     batch_size: 16\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,761 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     shuffle: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,761 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     num_workers: 8\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,761 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     pin_memory: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,762 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,762 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - [NeMo W 2023-03-22 11:38:50 modelPT:174] Please call the ModelPT.setup_test_data() or ModelPT.setup_multiple_test_data() method and provide a valid configuration file to setup the test data loader(s).\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,763 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     Test config : \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,763 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     manifest_filepath: null\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,763 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     labels:\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,764 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ' '\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,764 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - a\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,764 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - b\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,765 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - c\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,765 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - d\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,765 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - e\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,765 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - f\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,766 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - g\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,766 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - h\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,766 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - i\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,766 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - j\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,767 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - k\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,767 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - l\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,767 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - m\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,768 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'n'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,768 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - o\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,768 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - p\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,769 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - q\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,769 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - r\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,769 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - s\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,769 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - t\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,770 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - u\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,770 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - v\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,770 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - w\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,770 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - x\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,771 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - 'y'\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,771 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - z\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,771 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     - ''''\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,771 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     sample_rate: 16000\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,772 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     batch_size: 16\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,772 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     shuffle: false\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,772 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     num_workers: 8\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,772 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     pin_memory: true\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,953 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - [NeMo I 2023-03-22 11:38:50 ctc_models:64] \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,954 [INFO ] W-9000-model_1.0-stdout MODEL_LOG -     Replacing placeholder number of classes (-1) with actual number of classes - 28\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:50,965 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - [NeMo I 2023-03-22 11:38:50 conv_asr:428] num_classes of ConvASRDecoder is set to the size of the vocabulary: 28.\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:52,675 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Backend response time: 6336\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:52,676 [INFO ] W-9000-model_1.0 TS_METRICS - W-9000-model_1.0.ms:7863|#Level:Host|#hostname:226f672518e1,timestamp:1679485132\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:38:52,677 [INFO ] W-9000-model_1.0 TS_METRICS - WorkerThreadTime.ms:23|#Level:Host|#hostname:226f672518e1,timestamp:1679485132\n",
      "!\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,747 [INFO ] pool-3-thread-1 TS_METRICS - CPUUtilization.Percent:50.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,747 [INFO ] pool-3-thread-1 TS_METRICS - DiskAvailable.Gigabytes:445.6606903076172|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,748 [INFO ] pool-3-thread-1 TS_METRICS - DiskUsage.Gigabytes:32.49266052246094|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,748 [INFO ] pool-3-thread-1 TS_METRICS - DiskUtilization.Percent:6.8|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,748 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUtilization.Percent:5.364990234375|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,749 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUsed.Megabytes:879|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,749 [INFO ] pool-3-thread-1 TS_METRICS - GPUUtilization.Percent:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,749 [INFO ] pool-3-thread-1 TS_METRICS - MemoryAvailable.Megabytes:55793.296875|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,750 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUsed.Megabytes:4791.53515625|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:39:45,750 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUtilization.Percent:9.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485185\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,754 [INFO ] pool-3-thread-1 TS_METRICS - CPUUtilization.Percent:0.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,755 [INFO ] pool-3-thread-1 TS_METRICS - DiskAvailable.Gigabytes:445.6606559753418|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,755 [INFO ] pool-3-thread-1 TS_METRICS - DiskUsage.Gigabytes:32.49269485473633|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,755 [INFO ] pool-3-thread-1 TS_METRICS - DiskUtilization.Percent:6.8|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,755 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUtilization.Percent:5.364990234375|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,755 [INFO ] pool-3-thread-1 TS_METRICS - GPUMemoryUsed.Megabytes:879|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,756 [INFO ] pool-3-thread-1 TS_METRICS - GPUUtilization.Percent:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,756 [INFO ] pool-3-thread-1 TS_METRICS - MemoryAvailable.Megabytes:55793.2265625|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,756 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUsed.Megabytes:4791.60546875|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:40:45,756 [INFO ] pool-3-thread-1 TS_METRICS - MemoryUtilization.Percent:9.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485245\n"
     ]
    }
   ],
   "source": [
    "experiment_name = pm.get_params(key=prefix + \"-EXPERI-NAME\")\n",
    "create_experiment(experiment_name)\n",
    "job_name = create_trial(experiment_name)\n",
    "\n",
    "\n",
    "predictor = model.deploy(\n",
    "    initial_instance_count=1,\n",
    "    instance_type=inference_instance_type,\n",
    "    data_capture_config=data_capture_config,\n",
    "    endpoint_name=job_name,\n",
    "    experiment_config={\n",
    "      'TrialName': job_name,\n",
    "      'TrialComponentDisplayName': job_name,\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "10b2bb45",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/ec2-user/SageMaker/nemo-on-sagemaker/1.building-component/data/preprocessing/an4/wav/an4test_clstk/fcaw/an406-fcaw-b.wav'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paths2audio_files = f\"{os.getcwd()}/data/preprocessing/an4/wav/an4test_clstk/fcaw/an406-fcaw-b.wav\"\n",
    "paths2audio_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ecc9c485",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,765 [INFO ] pool-3-thread-2 TS_METRICS - DiskAvailable.Gigabytes:445.66065979003906|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,765 [INFO ] pool-3-thread-2 TS_METRICS - DiskUsage.Gigabytes:32.49269104003906|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,766 [INFO ] pool-3-thread-2 TS_METRICS - DiskUtilization.Percent:6.8|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,766 [INFO ] pool-3-thread-2 TS_METRICS - GPUMemoryUtilization.Percent:5.364990234375|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,766 [INFO ] pool-3-thread-2 TS_METRICS - GPUMemoryUsed.Megabytes:879|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,766 [INFO ] pool-3-thread-2 TS_METRICS - GPUUtilization.Percent:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,766 [INFO ] pool-3-thread-2 TS_METRICS - MemoryAvailable.Megabytes:55720.03125|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,767 [INFO ] pool-3-thread-2 TS_METRICS - MemoryUsed.Megabytes:4864.80078125|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:45,767 [INFO ] pool-3-thread-2 TS_METRICS - MemoryUtilization.Percent:9.1|#Level:Host|#hostname:226f672518e1,timestamp:1679485305\n"
     ]
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    {
     "data": {
      "text/html": [
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type=\"audio/x-wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import librosa\n",
    "import IPython.display as ipd\n",
    "\n",
    "# Load and listen to the audio file\n",
    "audio, sample_rate = librosa.load(paths2audio_files)\n",
    "\n",
    "ipd.Audio(paths2audio_files, rate=sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d9e00117-a789-46ba-8d57-78af35c6a485",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sagemaker.predictor import Predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97eb42b8-fb51-4f99-bfeb-1017ca99b7c4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# predictor = Predictor('nemo-cyj-nemo-experiments-0322-10501679482211')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "000a6dd0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sagemaker.serializers import DataSerializer\n",
    "predictor.serializer = DataSerializer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ef0b6896",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,559 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Flushing req. to backend at: 1679485316559\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,562 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Backend received inference at: 1679485316\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,579 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - ***************** 1input_fn ********************\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,579 [WARN ] W-9000-model_1.0-stderr MODEL_LOG -     \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,579 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - ***************** predict_fn ********************\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:56,580 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - \n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,849 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - Transcribing:   0%|          | 0/1 [00:00<?, ?it/s]\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,850 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - Transcribing: 100%|██████████| 1/1 [00:01<00:00,  1.27s/it]\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,851 [WARN ] W-9000-model_1.0-stderr MODEL_LOG - Transcribing: 100%|██████████| 1/1 [00:01<00:00,  1.27s/it]\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,852 [INFO ] W-9000-model_1.0-stdout MODEL_METRICS - PredictionTime.Milliseconds:1290.17|#ModelName:model,Level:Model|#hostname:226f672518e1,requestID:d438721c-5e9b-4acd-93da-3f07abff8386,timestamp:1679485317\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,854 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Backend response time: 1293\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,854 [INFO ] W-9000-model_1.0 ACCESS_LOG - /172.19.0.1:57866 \"POST /invocations HTTP/1.1\" 200 1305\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,855 [INFO ] W-9000-model_1.0 TS_METRICS - Requests2XX.Count:1|#Level:Host|#hostname:226f672518e1,timestamp:1679485125\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,855 [INFO ] W-9000-model_1.0 TS_METRICS - QueueTime.ms:0|#Level:Host|#hostname:226f672518e1,timestamp:1679485317\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:41:57,855 [INFO ] W-9000-model_1.0 TS_METRICS - WorkerThreadTime.ms:3|#Level:Host|#hostname:226f672518e1,timestamp:1679485317\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array({'result': ['   ']}, dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.predict(paths2audio_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fae1aa6b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Store suceess'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.put_params(key=\"ENDPOINT-NAME\", value=job_name, overwrite=True)\n",
    "pm.put_params(key=\"MONITOR-OUTPUT\", value=monitor_output, overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "03fe5507-3551-417d-9b1e-0ca6a17a6521",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ENDPOINT-NAME: nemo-asr-nemo-experiments-0322-11371679485066\n",
      "MONITOR-OUTPUT: s3://sm-nemo-ramp/nemo-asr/inference/monitor_output\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,754 [INFO ] pool-3-thread-2 TS_METRICS - CPUUtilization.Percent:0.0|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,754 [INFO ] pool-3-thread-2 TS_METRICS - DiskAvailable.Gigabytes:445.9645690917969|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,754 [INFO ] pool-3-thread-2 TS_METRICS - DiskUsage.Gigabytes:32.18878173828125|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,755 [INFO ] pool-3-thread-2 TS_METRICS - DiskUtilization.Percent:6.7|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,755 [INFO ] pool-3-thread-2 TS_METRICS - GPUMemoryUtilization.Percent:7.891845703125|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,755 [INFO ] pool-3-thread-2 TS_METRICS - GPUMemoryUsed.Megabytes:1293|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,756 [INFO ] pool-3-thread-2 TS_METRICS - GPUUtilization.Percent:0|#Level:Host,device_id:0|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,756 [INFO ] pool-3-thread-2 TS_METRICS - MemoryAvailable.Megabytes:54867.03125|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,756 [INFO ] pool-3-thread-2 TS_METRICS - MemoryUsed.Megabytes:5710.79296875|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n",
      "\u001b[36mw00uaj7h7n-algo-1-62uxc |\u001b[0m 2023-03-22T11:42:45,756 [INFO ] pool-3-thread-2 TS_METRICS - MemoryUtilization.Percent:10.5|#Level:Host|#hostname:226f672518e1,timestamp:1679485365\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception in thread Thread-5:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/ec2-user/anaconda3/envs/pytorch_p39/lib/python3.9/site-packages/sagemaker/local/image.py\", line 854, in run\n",
      "    _stream_output(self.process)\n",
      "  File \"/home/ec2-user/anaconda3/envs/pytorch_p39/lib/python3.9/site-packages/sagemaker/local/image.py\", line 916, in _stream_output\n",
      "    raise RuntimeError(\"Process exited with code: %s\" % exit_code)\n",
      "RuntimeError: Process exited with code: 137\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/ec2-user/anaconda3/envs/pytorch_p39/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n",
      "    self.run()\n",
      "  File \"/home/ec2-user/anaconda3/envs/pytorch_p39/lib/python3.9/site-packages/sagemaker/local/image.py\", line 859, in run\n",
      "    raise RuntimeError(msg)\n",
      "RuntimeError: Failed to run: ['docker-compose', '-f', '/tmp/tmpkdalsucj/docker-compose.yaml', 'up', '--build', '--abort-on-container-exit'], Process exited with code: 137\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[36mw00uaj7h7n-algo-1-62uxc exited with code 137\n",
      "\u001b[0mAborting on container exit...\n"
     ]
    }
   ],
   "source": [
    "print (f'ENDPOINT-NAME: {pm.get_params(key=\"ENDPOINT-NAME\")}')\n",
    "print (f'MONITOR-OUTPUT: {pm.get_params(key=\"MONITOR-OUTPUT\")}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7395fdee-1785-461f-ae82-5931b8eb4e2b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# predictor.delete_endpoint()"
   ]
  }
 ],
 "metadata": {
  "instance_type": "ml.t3.medium",
  "kernelspec": {
   "display_name": "conda_pytorch_p39",
   "language": "python",
   "name": "conda_pytorch_p39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}