talhaanwarch

from joblib import Parallel, delayed
import numpy as np
import time
from mne_features.feature_extraction import FeatureExtractor
feature=['mean','variance','std']
fe = FeatureExtractor(sfreq=1024, selected_funcs=feature)



def f(x):

talhaanwarch

# -*- coding: utf-8 -*-
"""
Created on Fri Jun 11 18:58:05 2021
# CALCULATE SENTENCE SIMILARITY
@author: TAC
"""
import torch#pytorch
from transformers import AutoTokenizer, AutoModel#for embeddings
from sklearn.metrics.pairwise import cosine_similarity#for similarity

talhaanwarch

# data link
#https://drive.google.com/file/d/1EwjJx-V-Gq7NZtfiT6LZPLGXD2HN--qT/view?usp=sharing

from glob import glob
import cv2
from PIL import Image
import os
import pandas as pd
import numpy as np

talhaanwarch

import torchvision
import torch 
import torch.nn as nn
from time import time

from torch.optim.lr_scheduler import OneCycleLR
from pytorch_lightning import seed_everything, LightningModule, Trainer
from pytorch_lightning.callbacks import EarlyStopping,ModelCheckpoint,LearningRateMonitor
from torch.utils.data.dataloader import DataLoader

talhaanwarch

Step1: 
sudo apt update
sudo apt install build-essential
sudo apt-get install manpages-dev
sudo apt install gcc


Step2: 
sudo sh cuda_11.8.0_520.61.05_linux.run