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Mehdi Cherti mehdidc

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"""
This is helper script to launch sbatch jobs and to handle two issues
we encountered:
- freezing/hanging
- limited maximum job time (24 hours in the best case, can be 6 hours when total compute budget is over)
The script automatically relaunch the sbatch script when the job either freezes
or is stopped/canceled.
@mehdidc
mehdidc / full_openclip_benchmark.csv
Last active September 10, 2024 12:37
Full OpenCLIP benchmark (140 models)
We can't make this file beautiful and searchable because it's too large.
image_retrieval_recall@1,text_acc,text_retrieval_recall@5,text_retrieval_recall@1,image_retrieval_recall@5,task,text_retrieval_recall@10,language,acc,acc5,image_retrieval_recall@10,model,dataset,mean_per_class_recall,image_acc,pretrained,acc1,model_fullname
0.448199987411499,,0.8410000205039978,0.5920000076293945,0.7206000089645386,zeroshot_retrieval,0.8980000019073486,en,,,0.8123999834060669,RN50,wds/flickr30k,,,cc12m,,RN50 cc12m
0.45840001106262207,,0.8500000238418579,0.5889999866485596,0.7305999994277954,zeroshot_retrieval,0.8980000019073486,en,,,0.8163999915122986,RN50-quickgelu,wds/flickr30k,,,cc12m,,RN50-quickgelu cc12m
0.5221999883651733,,0.878000020980835,0.6740000247955322,0.7821999788284302,zeroshot_retrieval,0.9309999942779541,en,,,0.864799976348877,ViT-B-16,wds/flickr30k,,,commonpool_l_basic_s1b_b8k,,ViT-B-16 commonpool_l_basic_s1b_b8k
0.5103999972343445,,0.8889999985694885,0.6830000281333923,0.7735999822616577,zeroshot_retrieval,0.9369999766349792,en,,,0.8521999716758728,ViT-B-16,wds/flickr30k,,,
@mehdidc
mehdidc / megatron_lm_juwels.md
Last active August 22, 2024 20:06
Megatron-LM on JUWELS

1.Preparing the env:

export REPO=/p/project/laionize/cherti1/Megatron-LM # MODIFY!
git clone https://github.com/bigcode-project/Megatron-LM.git $REPO
cd $REPO
ml Stages/2024 GCC/12.3.0 OpenMPI CUDA/12 PyTorch/2.1.0-CUDA-12-ALPHA
python -m venv $REPO/env
source $REPO/env/bin/activate
pip install -U pip
@mehdidc
mehdidc / flops_mobileclip.py
Created August 17, 2024 11:14
flops_mobileclip.py
import torch
import mobileclip
from PIL import Image
import numpy as np
import pandas as pd
from torch.utils.flop_counter import FlopCounterMode
import open_clip
import fvcore
import fvcore.nn
#!/bin/bash
#SBATCH --nodes=8
#SBATCH --time=00:20:00
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48
#SBATCH --gres=gpu:4
#SBATCH --partition=booster
#SBATCH --account=transfernetx
#SBATCH --exclude=jwb[0059,0067,0069,0193,0284,0287,0294,0359,0418,0637,0829,0832,0838,0898,0907,0921,0971,1004,1023,1029,1213,1126]
#SBATCH --threads-per-core=1
#!/bin/bash
#SBATCH --nodes=8
#SBATCH --time=00:20:00
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48
#SBATCH --gres=gpu:4
#SBATCH --partition=booster
#SBATCH --account=transfernetx
#SBATCH --exclude=jwb[0059,0067,0069,0193,0284,0287,0294,0359,0418,0637,0829,0832,0838,0898,0907,0921,0971,1004,1023,1029,1213,1126]
#SBATCH --threads-per-core=1
checkpoints:
checkpoint_interval: 10
checkpoints_path: checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_initial_state: false
data_stages:
- name: Stable Training Stage
start_training_step: 1
#!/bin/bash -x
#SBATCH --account={account}
#SBATCH --nodes={nodes}
#SBATCH --gres=gpu:4
#SBATCH --ntasks-per-node=4
#SBATCH --cpus-per-task=24
#SBATCH --time=06:00:00
#SBATCH --partition={partition}
#SBATCH --output={output_file}
echo "Job Id:$SLURM_JOB_ID"
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:
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)]