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import random

#eg: shuffle_split(80, "xyz.csv")  80= 80% train, 20% Test. xyz.csv= source_file

def shuffle_split(train_size, filename):
	data=open(filename, "r")

	train1=open("train.csv", "w")
	test1= open("test.csv", "w")
	read_data= data.readlines()

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Installing 2080ti driver and cuda

Reference 'https://medium.com/@avinchintha/how-to-install-nvidia-drivers-and-cuda-10-0-for-rtx-2080-ti-gpu-on-ubuntu-16-04-18-04-ce32e4edf1c0' with modification

If old nvidia driver exist uninstall all old drivers

sudo apt-get purge nvidia-*

Install GCC and Make

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Setup Nvidia docker, TF model server GPU setup

Install Docker

Reference here

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update
sudo apt-get install -y docker-ce

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Preprocessing before model serving

1. Get the input and output tensor name from the model
2. Create a tensorflow model builder

   # Create SavedModelBuilder class
   # defines where the model will be exported
   export_path_base = MODEL_PATH
   export_path = os.path.join(
       tf.compat.as_bytes(export_path_base),
       tf.compat.as_bytes(str(VERSION_NUMBER)))

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#!/bin/bash
tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=resnet --model_base_path=/models/resnet

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import base64
import requests
from datetime import datetime
import argparse
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc
import grpc
import tensorflow as tf

tf_v = 2

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apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  # App name
  name: myresnet-deployment
spec:
  # Creating two pods 
  replicas: 2
  template:
    metadata:

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apiVersion: v1
# service type
kind: Service
metadata:
  # Service name
  labels:
    run: myresnet-service
  name: myresnet-service
spec:
  ports:

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[
    {
        "heroname": "Spirit Breaker",
        "player": "demon",
        "mmr": "7624",
        "link": "https://www.youtube.com/watch?v=Y6XAojzW86o",
        "published": "2021-04-21 00:00:00",
        "position": "4"
    },
    {

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from detectron2.utils.logger import setup_logger
from glob import glob
setup_logger()
import copy

from detectron2.evaluation import COCOEvaluator, inference_on_dataset
from detectron2.data import build_detection_test_loader
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.config import CfgNode as CN