mehdidc

#!/bin/bash
#SBATCH --nodes=8
#SBATCH --time=00:20:00
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48
#SBATCH --gres=gpu:4
#SBATCH --partition=booster
#SBATCH --account=transfernetx
#SBATCH --exclude=jwb[0059,0067,0069,0193,0284,0287,0294,0359,0418,0637,0829,0832,0838,0898,0907,0921,0971,1004,1023,1029,1213,1126]
#SBATCH --threads-per-core=1

mehdidc

#!/bin/bash
#SBATCH --nodes=8
#SBATCH --time=00:20:00
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48
#SBATCH --gres=gpu:4
#SBATCH --partition=booster
#SBATCH --account=transfernetx
#SBATCH --exclude=jwb[0059,0067,0069,0193,0284,0287,0294,0359,0418,0637,0829,0832,0838,0898,0907,0921,0971,1004,1023,1029,1213,1126]
#SBATCH --threads-per-core=1

mehdidc

checkpoints:
  checkpoint_interval: 10
  checkpoints_path: checkpoints
  checkpoints_path_is_shared_file_system: false
  resume_checkpoint_path: null
  save_initial_state: false

data_stages:
  - name: Stable Training Stage
    start_training_step: 1

mehdidc

#!/bin/bash -x
#SBATCH --account={account}
#SBATCH --nodes={nodes}
#SBATCH --gres=gpu:4
#SBATCH --ntasks-per-node=4
#SBATCH --cpus-per-task=24
#SBATCH --time=06:00:00
#SBATCH --partition={partition}
#SBATCH --output={output_file}
echo "Job Id:$SLURM_JOB_ID"

mehdidc

job_id_regexp: "Job Id:(\\d+)"
cmd: "sbatch {sbatch_script}"
check_interval_secs: 600
partition: booster
account: laionize
experiments:
  small:
    model_scale:
        model: [ViT-B-32]
    samples_seen_scale:        

mehdidc

Disable Laptop Keyboard in Ubuntu

Taken From :- https://blog.hostonnet.com/laptop-keyboard-ubuntu

To disable laptop built in keyboard in Ubuntu, first you need to identify the device id for keyboard.

Now run xinput –list command to get list of all input devices

hostonnet@pc4:~$ xinput --list
⎡ Virtual core pointer                      id=2    [master pointer  (3)]

mehdidc

import ast
import json
import logging
import math
import os
import random
import sys
import braceexpand
from dataclasses import dataclass
from multiprocessing import Value

mehdidc

language,acc1,model,mean_per_class_recall,dataset,pretrained,image_retrieval_recall@5,acc,mean_average_precision,acc5,task,model_fullname,text_retrieval_recall@5
en,0.18418107200596942,RN50-quickgelu,0.18626162135734856,cars,cc12m,,,,0.5200845665961945,zeroshot_classification,RN50-quickgelu cc12m,
en,0.17945529163039423,RN50,0.1817410995349502,cars,cc12m,,,,0.5139907971645318,zeroshot_classification,RN50 cc12m,
en,0.7211789578410646,ViT-B-16,0.7212942008721658,cars,commonpool_l_basic_s1b_b8k,,,,0.9759980101977366,zeroshot_classification,ViT-B-16 commonpool_l_basic_s1b_b8k,
en,0.8166894664842681,ViT-B-16,0.8155803538003477,cars,commonpool_l_clip_s1b_b8k,,,,0.9907971645317747,zeroshot_classification,ViT-B-16 commonpool_l_clip_s1b_b8k,
en,0.6628528789951499,ViT-B-16,0.6613039344249736,cars,commonpool_l_image_s1b_b8k,,,,0.9621937569953986,zeroshot_classification,ViT-B-16 commonpool_l_image_s1b_b8k,
en,0.6775276706877255,ViT-B-16,0.6744836925516351,cars,commonpool_l_laion_s1b_b8k,,,,0.9602039547319985,zeroshot_cla

mehdidc

import sys
fd = open(sys.argv[2], "w")
lines = open(sys.argv[1]).readlines()
for l in lines:
    toks = l.split(" ")
    t = toks[0]
    image_id = t.split("#")[0]
    caption = " ".join(toks[1:])
    L = f"{image_id}.jpg,{caption}"
    fd.write(L)

mehdidc

import io
import tarfile
import random
from collections import defaultdict
from lxml import etree
import uuid
from PIL import Image, ImageDraw
from glob import glob
import time
import os