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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 |
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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 |
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# 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 |
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# -*- 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 |
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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): |