1 python3 peer1.py 2 clear 3 python3 peer1.py 4 clear 5 python3 peer1.py 6 python3 tracker.py 7 clear 8 python3 tracker.py 9 cd /DATA1/ 10 ls 11 cd planck_temp_backup/ 12 ls 13 rm -rf anaconda3/ 14 pwd 15 ssh planck@10.6.1.175 16 ssh richas2@172.25.0.244 17 exit 18 ssh richas2@172.25.0.244 19 exit 20 cd /DATA1 21 cd rutvik_temp_backup/ 22 ls 23 rm linuxbrew/ 24 rm -r linuxbrew/ 25 ls 26 sudo rm -rf linuxbrew/ 27 df -du rutvik/ 28 dh -du rutvik/ 29 df rutvik/ 30 clear 31 ls 32 sudo rm -rf rutvik/ 33 ls 34 pwd 35 cd A1/ 36 python peer1.py 37 clear 38 python peer1.py 39 clear 40 python peer1.py 41 clear 42 python peer1.py 43 clear 44 python peer1.py 45 clear 46 python peer1.py 47 clear 48 conda activate cs 49 python "peer1 copy.py" 50 clear 51 python "peer1 copy.py" 52 clear 53 python "peer1 copy.py" 54 clear 55 python "peer1 copy.py" 56 clear 57 python "peer1 copy.py" 58 clear 59 cd /DATA1/ 60 ls 61 cd rutvik_temp_backup/ 62 ls 63 cd rutvik/ 64 ls 65 pwd 66 conda activate cs 67 conda activate cs 68 python -u "peer1 copy.py" 69 clear 70 python -u "peer1 copy.py" 71 clear 72 python -u "peer1 copy.py" 73 clear 74 python -u "peer1 copy.py" 75 clear 76 python -u "peer1 copy.py" 77 clear 78 python -u "peer1 copy.py" 79 clear 80 python -u "peer1 copy.py" 81 conda activate cs 82 cd A1/ 83 python3 -u peer1.py 84 clear 85 python3 -u peer1.py 86 clear 87 python3 -u peer1.py 88 conda activate cs 89 cd A1/ 90 python3 tracker.py 91 clear 92 python3 tracker.py 93 ps ax| grep python 94 clear 95 python3 tracker.py 96 clear 97 python3 tracker.py 98 clear 99 python3 tracker.py 100 clear 101 python3 tracker.py 102 conda env list 103 cd 104 cd /DATA1/shreshtha/synthetic_data/ 105 unzip blender_v2.zip 106 unzip blender_obj.zip 107 conda activate cs 108 clear 109 python3 -u A1/tracker.py 110 conda activate cs 111 python3 tracker.py 112 clear 113 python3 -u "peer1 copy.py" 114 clear 115 python3 -u "peer1 copy.py" 116 clear 117 python3 -u "peer1 copy.py" 118 clear 119 python3 -u "peer1 copy.py" 120 conda activate cs 121 ps ax | grep python 122 clear 123 cd A1/ 124 python -u peer1.py 125 clear 126 python -u peer1.py 127 clear 128 python -u peer1.py 129 clear 130 python -u peer1.py 131 clear 132 python -u peer1.py 133 ssh planck@10.6.1.145 134 ifconfig 135 cd A1/ 136 ls 137 clear 138 conda activate cs 139 clear 140 conda activate cs 141 python3 "peer1 copy.py" 142 clear 143 python3 "peer1 copy.py" 144 clear 145 python3 "peer1 copy.py" 146 clear 147 python3 "peer1 copy.py" 148 clear 149 python3 "peer1 copy.py" 150 conda activate cs 151 cd A1/ 152 python3 peer1.py 153 clear 154 python3 peer1.py 155 conda activate cs 156 cd A1/ 157 python3 peer1.py 158 clear 159 python3 peer1.py 160 clear 161 python3 peer1.py 162 conda activate cs 163 pip3 install "fastapi[all]" 164 clear 165 pip3 install uvicorn 166 clear 167 cd A1/ 168 python apis.py 169 uvicorn apis:app --reload 170 clear 171 uvicorn apis:app --reload 172 clear 173 uvicorn apis:app --reload 174 clear 175 uvicorn apis:app --reload 176 clear 177 uvicorn apis:app --reload 178 conda activate cs 179 cd A1/ 180 python3 tracker.py 181 clear 182 python3 tracker.py 183 conda activate cs 184 cd A1/ 185 uvicorn apis:app --reload 186 conda activate cs 187 cd A1/ 188 python apis.py 189 conda activate cs 190 python peer1 191 python peer1.py 192 clear 193 python peer1.py 194 ps ax | grep python 195 python peer1.py 196 python apis.py 197 conda activate cs 198 python apis.py 199 uvicorn apis:app --reload 200 conda activate cs 201 cd A1/ 202 python3 peer1.py 203 conda activate cs 204 clear 205 python3 "peer1 copy.py" 206 conda activate cs 207 cd A1/ 208 python3 tracker.py 209 conda activate cs 210 pip3 install PyQt5 211 conda activate cs 212 conda activate cs 213 clear 214 python "peer 1 copy.py" 215 ls 216 python 'peer 1 copy.py' 217 python peer1\ copy.py 218 clear 219 python peer1\ copy.py 220 conda activate cs 221 python tracker.py 222 conda activate cs 223 clear 224 python gui.py 225 ssh bikash@10.6.0.21 226 ssh bikash@10.6.0.22 227 sudo dpkg -i code_1.82.2-1694671812_amd64.deb 228 python peer1\ copy.py 229 python gui.py 230 python tracker.py 231 clear 232 cd /DATA1/ 233 cd 234 cd Bikash/ 235 ls 236 mkdir dinov2 237 cd dinov2/ 238 git clone https://github.com/itsprakhar/Downstream-Dinov2 239 ls 240 cd Downstream-Dinov2/ 241 code . 242 pactl list short sinks 243 conda activate cs 244 clear 245 python3 -u train_classifier.py 246 clear 247 python3 -u train_classifier.py 248 clear 249 python3 -u train_segmentor.py 250 conda activate cs 251 python3 A1/apis.py 252 conda activate cs 253 clear 254 python A1/tracker.py 255 ps ax | anydesk 256 ps ax | grep anydesk 257 kill -9 341555 258 ps ax | grep anydesk 259 kill -9 395114 260 clear 261 anydesk 262 python ~/Bikash/network_login.py 263 clear 264 cd Desktop/ 265 ls 266 sudo ./ docker0_down.sh 267 ls 268 ./docker0_down.sh 269 sudo ./docker0_down.sh 270 watch -n 0 nvidia-smi 271 git clone https://github.com/pmqs/Fix-OneDrive-Zip.git 272 cd Fix-OneDrive-Zip/ 273 ls 274 ./fix-onedrive-zip OneDrive_1_14-9-2023.zip 275 anydesk 276 conda activate cs 277 python peer1/ copy.py 278 python A1/peer1/ copy.py 279 python A1/peer1\ copy.py 280 conda activate cs 281 clear 282 python A1/peer.py 283 clear 284 python A1/peer.py 285 conda activate cs 286 python A1/tracker.py 287 clear 288 python A1/tracker.py 289 sudo systemctl stop anydesk 290 sudo systemctl start anydesk 291 sudo systemctl status anydesk 292 anydesk --get-id 293 anydesk --get-status 294 anydesk --restart-service 295 anydesk --get-status 296 anydesk --stop-service 297 anydesk --restart-service 298 sudo killall anydesk 299 sudo apt install anydesk 300 anydesk --get-id 301 sudo anydesk --service 302 303 anydesk --get-id 304 anydesk --get-status 305 dpkg -l | grep -i docker 306 sudo apt-get purge -y docker-engine docker docker.io docker-ce docker-ce-cli docker-compose-plugin 307 sudo apt-get autoremove -y --purge docker-engine docker docker.io docker-ce docker-compose-plugin 308 sudo rm -rf /var/lib/docker /etc/docker 309 sudo rm /etc/apparmor.d/docker 310 sudo groupdel docker 311 sudo rm -rf /var/run/docker.sock 312 cd Desktop/ 313 ls 314 sudo ./docker0_down.sh 315 clear 316 ls 317 anydesk --get-id 318 ip a 319 sudo apt update; sudo apt upgrade -y; 320 sudo reboot 321 rm -rf .git 322 python3 train_segmentor.py 323 conda activate cs 324 python3 train_segmentor.py 325 clear 326 python3 train_segmentor.py 327 c;ear 328 clar 329 clear 330 python3 train_segmentor.py 331 clear 332 python3 train_segmentor.py 333 clear 334 python3 train_segmentor.py 335 clear 336 python3 train_segmentor.py 337 clear 338 python3 train_segmentor.py 339 clear 340 python3 train_segmentor.py 341 clear 342 python3 train_segmentor.py 343 conda activate cs 344 ipython 345 conda activate cs 346 python3 train_segmentor.py 347 clear 348 python3 train_segmentor.py 349 clear 350 python3 train_segmentor.py 351 clear 352 python3 train_segmentor.py 353 clear 354 python3 train_segmentor.py 355 clear 356 python3 train_segmentor.py 357 pip install xformers 358 clear 359 pip install xformers 360 clear 361 python3 train_segmentor.py 362 nohup python3 -u train_segmentor.py > train_seg_log.txt& 363 clear 364 watch -n 0 tail train_seg_log.txt 365 watch -n 1 tail train_seg_log.txt 366 watch -n 0 nvidia-smi 367 conda activate cs 368 cd A1/ 369 python3 apis.py 370 clear 371 ls 372 python3 gui.py 373 conda activate cs 374 cd A1/ 375 python3 peer1\ copy.py 376 conda activate cs 377 cd A1/ 378 python3 apis.py 379 conda activate cs 380 python3 A1/gui.py 381 cd /DATA1/bikash_dutta/CS/SDE/A1/ 382 python3 gui.py 383 python3 A1/tracker.py 384 tail train_seg_log.txt 385 sudo apt update && sudo apt upgrade -y 386 sudo apt autoremove 387 sudo apt autoclean 388 clear 389 sudo apt update && sudo apt upgrade -y 390 cd Bikash/ 391 git clone https://github.com/vinceliuice/WhiteSur-gtk-theme.git --depth=1 392 cd WhiteSur-gtk-theme/ 393 ./install.sh -t red 394 cd .. 395 https://github.com/yeyushengfan258/Reversal-icon-theme.git 396 git clone https://github.com/yeyushengfan258/Reversal-icon-theme.git 397 mkdir ~./icons 398 mkdir -p ~./icons 399 mkdir -p ~./local/share/fonts 400 cd Reversal-icon-theme/ 401 ./install.sh -red 402 cd .. 403 clear 404 ls 405 git clone https://github.com/vinceliuice/Vimix-cursors.git 406 cd Vimix-cursors/ 407 ./install.sh 408 mv -r ~.local/share/icons/Vimic-cursors ~.icons 409 mv -r ~/.local/share/icons/Vimic-cursors ~/.icons 410 mv ~/.local/share/icons/Vimic-cursors ~/.icons 411 dconf load /org/gnome/shell/extensions/ 412 cd .. 413 clear 414 dconf load /org/gnome/shell/extensions/ < all_extension_settings.conf 415 sudo apt install gnome-tweaks -y 416 gnome-tweaks 417 sudo apt install gnome-shell-extensions -y 418 DISPLAY= /opt/google/chrome-remote-desktop/start-host --code="4/0AfJohXnze3nihHg5ynOdJsYeJekFUxhJn9Il79lPZM-hZjlrIg2Wmod8y795AHaLVX4C4A" --redirect-url="https://remotedesktop.google.com/_/oauthredirect" --name=$(hostname) 419 sudo apt-get install alien dpkg-dev debhelper build-essential zlib1g-dev 420 sudo alien -vc *.rpm 421 sudo apt-get install ./adlmapps28_28.0.11-1_amd64.deb 422 sudo apt-get install ./adskflexnetserveripv6_11.18.0-1_amd64.deb 423 sudo apt-get install ./adskflexnetclient_11.18.0-1_amd64.deb 424 sudo apt-get install ./adsklicensing13.0.0.8122_0-1_amd64.deb 425 sudo systemctl status adsklicensing 426 sudo apt-get install ./maya2024-64_2024.1-4817_amd64.deb 427 /opt/Autodesk/AdskLicensing/Current/helper/AdskLicensingInstHelper list 428 sudo /opt/Autodesk/AdskLicensing/Current/helper/AdskLicensingInstHelper register -pk 657O1 -pv 2023.0.0.F -el EN_US -cf /var/opt/Autodesk/Adlm/Maya2023/MayaConfig.pit 429 sudo apt-get install ./mayausd2024-202304181210-131a6c1_0.23.1-2_amd64.deb 430 sudo apt-get upadte 431 sudo apt-get update 432 sudo apt-get install ./mayausd2024-202304181210-131a6c1_0.23.1-2_amd64.deb 433 sudo dpkg --configure -a 434 sudo apt-get install ./mayausd2024-202304181210-131a6c1_0.23.1-2_amd64.deb 435 sudo add-apt-repository ppa:zeehio/libxp 436 sudo apt-get update 437 sudo apt-get install libxp6 438 sudo apt-get install libfam0 libcurl4 libpcre16-3 libjpeg62 libxm4 libgdbm-compat4 libmng2 libaudiofile-dev xfonts-100dpi xfonts-75dpi 439 sudo apt-get install --reinstall libxcb-xinerama0 440 sudo ln -s /usr/lib/x86_64-linux-gnu/libgdbm_compat.so.4 /usr/autodesk/maya2023/lib/libgdbm.so.4 441 sudo apt-get install ./maya2024-64_2024.1-4817_amd64.deb 442 sudo ln -s /usr/lib/x86_64-linux-gnu/libgdbm_compat.so.4 /usr/autodesk/maya2024-64/lib/libgdbm.so.4 443 sudo /opt/Autodesk/AdskLicensing/Current/helper/AdskLicensingInstHelper register -pk 657O1 -pv 2024.0.0.F -el EN_US -cf /var/opt/Autodesk/Adlm/Maya2024/MayaConfig.pit 444 sudo apt-get -y install yaru-theme-icon 445 sudo apt-get -y install yaru-theme-gtk 446 dconf reset -f /org/gnome/ 447 cd Bikash/ 448 dconf load /org/gnome/shell/extensions/ < all_extension_settings.conf 449 conda activate cs 450 clear 451 python3 -u train_segmentor.py 452 clear 453 python3 -u train_segmentor.py 454 conda activate cs 455 cd ~/anaconda3/envs/cs/ 456 ls 457 cd bin/ 458 ls 459 clear 460 ls 461 cd .. 462 ls 463 ln -s libnvrtc-*.so.11.2 libnvrtc.so 464 conda activate cs 465 celar 466 clear 467 wget https://github.com/facebookresearch/dinov2/blob/main/notebooks/semantic_segmentation.ipynb 468 conda activate cs 469 wget https://github.com/facebookresearch/dinov2/raw/main/notebooks/semantic_segmentation.ipynb 470 git clone https://github.com/facebookresearch/dinov2/ 471 conda activate cs 472 pip3 install mmseg 473 clear 474 cd dinov2/ 475 ls 476 python3 setup.py 477 pip3 install -r requirements 478 pip3 install -r requirements.txt 479 conda create -n dinov2 python=3.10 -y 480 conda activate dinov2 481 pip3 install -r requirements.txt 482 pip3 install -r requirements-extras.txt 483 sudo pip3 install -r requirements-extras.txt 484 celar 485 clear 486 pip3 install mmsegmentation 487 MMCV_WITH_OPS=1 MMCV_CUDA_ARGS='-gencode=arch=compute_80,code=sm_80' pip install -e . 488 clear 489 pip install -U openmim 490 mim install mmcv 491 python mmseg/utils/collect_env.py 492 conda activate cs 493 cd ../.. 494 ls 495 conda activate cs 496 clear 497 python3 -u train_classifier.py 498 clear 499 python3 -u train_classifier.py 500 clear 501 python3 -u train_segmentor.py 502 clear 503 python3 -u train_segmentor.py 504 clear 505 python3 -u train_segmentor.py 506 clear 507 python3 -u train_segmentor.py 508 clear 509 python3 -u train_segmentor.py 510 clear 511 python3 -u train_segmentor.py 512 conda activate cs 513 clear 514 wget https://github.com/facebookresearch/dinov2/raw/main/notebooks/semantic_segmentation.ipynb https://github.com/purnasai/Dino_V2/raw/main/harryported_giffin_images/img1.jpg 515 conda activate cs 516 python3 -u train_segmentor.py 517 nvidia-smi 518 python3 -u train_segmentor.py 519 clear 520 conda activate cs 521 clear 522 python3 train_segmentor.py 523 clear 524 python3 train_segmentor.py 525 clear 526 python3 train_segmentor.py 527 clear 528 python3 train_segmentor.py 529 clear 530 python3 train_segmentor.py 531 clear 532 python3 train_segmentor.py 533 clear 534 python3 train_segmentor.py 535 clear 536 python3 train_segmentor.py 537 sudo apt update; sudo apt upgrade -y; 538 ls 539 python3 peer.py 540 clear 541 python3 peer.py 542 clear 543 ls 544 python3 peer.py 545 python gui.py 546 python3 tracker.py 547 ssh richas2@172.25.0.244 548 549 clear 550 conda activate cs 551 python3 reconstruction.py 552 clear 553 python3 reconstruction.py 554 clear 555 python3 reconstruction.py 556 clear 557 python3 reconstruction.py 558 clear 559 python3 reconstruction.py 560 nohup python3 -u reconstruction.py > run_recons.txt & 561 conda activate cs 562 python3 -u train_segmentor.py 563 clear 564 python3 -u train_segmentor.py 565 python3 -V 566 history 567 nohup python3 -u reconstruction.py > run_recons.txt & 568 watch tail run_recons.txt 569 watch -n 0 tail run_recons.txt 570 python3 reconstruction.py 571 pip list 572 pip list | grep python 573 pip list | grep py 574 pip list | grep tor 575 pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 576 pip list | grep tor 577 python3 reconstruction.py 578 pip3 install tqdm 579 python3 reconstruction.py 580 pip3 install tqdm torchmetrics 581 python3 reconstruction.py 582 pip3 install tqdm torchmetrics wandb 583 python3 reconstruction.py 584 pip3 install tqdm torchmetrics wandb scipy 585 python3 reconstruction.py 586 pip3 install --upgrade requests 587 python3 reconstruction.py 588 CLEAR 589 clear 590 python3 reconstruction.py 591 clear 592 python3 reconstruction.py 593 clear 594 python3 reconstruction.py 595 sudo halt 596 clear 597 ls 598 watch -n 0 nvidia-smi 599 btop 600 cleare 601 clear 602 python3 reconstruction.py 603 CLEAR 604 clear 605 python3 reconstruction.py 606 clear 607 python3 reconstruction.py 608 clear 609 python3 reconstruction.py 610 ip a 611 ip 612 ip -a 613 ip a 614 clear 615 celar 616 clear 617 python3 reconstruction.py 618 conda env 619 clear 620 mkdir -p ~/miniconda3 621 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh 622 bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 623 rm -rf ~/miniconda3/miniconda.sh 624 ~/miniconda3/bin/conda init bash 625 crontab -e 626 export CUDA_HOME=/usr/local/cuda-X.X 627 nvcc --version 628 sudo apt install nvidia-cuda-toolkit 629 nvcc --version 630 export CUDA_HOME=/usr/local/cuda-11.5 631 conda update -n base -c defaults conda 632 conda env list 633 cd dinov2/ 634 ls 635 conda create env -f conda-extras.yaml 636 conda env create -f conda-extras.yaml 637 conda env create -f conda.yaml 638 clear 639 conda env create -f conda-extras.yaml 640 conda env create -f conda-extras.yaml -U 641 conda env update -f conda-extras.yaml -U 642 conda env update -f conda-extras.yaml 643 conda env create -f conda.yaml 644 conda env update -f conda.yaml 645 conda env update -f conda-extras.yaml 646 clear 647 conda -v 648 conda _V 649 conda -V 650 conda env list 651 conda _Vclear 652 clear 653 python3 reconstruction.py 654 pip3 install wandb torchmetrics 655 pip3 install wandb torchmetrics scipy 656 python3 reconstruction.py 657 pip3 install wandb torchmetrics scipy matplotlib 658 python3 reconstruction.py 659 /home/curie/miniconda3/envs/dinov2/bin/python 660 clear 661 python3 reconstruction.py 662 sudo apt update; sudo apt upgrade -y; 663 which python 664 crontab -e 665 python3 ~/Bikash/network_login.py 666 clear 667 python3 reconstruction.py 668 ipython 669 python3 670 python3 reconstruction.py 671 clear 672 python3 reconstruction.py 673 sudo systemctl status anydesk 674 sudo systemctl restart anydesk 675 cd /DATA1/bikash_dutta/ 676 micro a.cpp 677 g++ a.cpp 678 ./a.out 679 micro a.cpp 680 g++ a.cpp 681 ./a.out 682 btop 683 nvidia-smi 684 watch -n 0 nvidia-smi 685 btop 686 clear 687 python3 reconstruction.py 688 clear 689 python3 reconstruction.py 690 cd PFL-Non-IID/ 691 cd dataset/ 692 ls 693 clear 694 cd mnist/ 695 rm config.json 696 clear 697 cd .. 698 python3 generate_mnist.py iid - dir 699 clear 700 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 200 -data mnist -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 701 ls 702 cd ../system/ 703 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 200 -data mnist -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 704 kill -9 2341141 705 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 200 -data mnist -m dnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 706 clear 707 git clone https://github.com/TsingZ0/PFL-Non-IID.git 708 cd PFL-Non-IID/ 709 ls 710 clear 711 conda env create -f env_cuda_latest.yaml 712 clear 713 cd dataset/ 714 conda activate fl 715 c;ear 716 clear 717 python3 generate_tiny_imagenet.py iid 718 python3 generate_tiny_imagenet.py iid 719 python3 generate_tiny_imagenet.py iid b 720 python3 generate_tiny_imagenet.py iid b + 721 clear 722 python generate_tiny_imagenet.py iid - dir 723 ls 724 clear 725 wget http://cs231n.stanford.edu/tiny-imagenet-200.zip 726 unzip tiny-imagenet-200.zip 727 clear 728 python generate_tiny_imagenet.py iid - dir 729 clear 730 python generate_tiny_imagenet.py iid - dir 731 clear 732 cd .. 733 cd system/ 734 ls 735 clear 736 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go cnn > tiny_imagenet_pfedme.out 2>&1 & 737 ls 738 watch -n 0 tail tiny_imagenet_pfedme.out 739 pip3 install cvxpy 740 watch -n 0 tail tiny_imagenet_pfedme.out 741 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go cnn > tiny_imagenet_pfedme.out 2>&1 & 742 watch -n 0 tail tiny_imagenet_pfedme.out 743 history 744 clear 745 ps ax | grep python 746 kill -9 2345238 747 ps ax | grep python 748 history 749 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 10 -data mnist -m dnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 750 cd PFL-Non-IID/system/ 751 nohup python -u main.py -lbs 16 -nc 20 -jr 1 -nb 10 -data mnist -m dnn -algo pFedMe -gr 2000 -did 0 -lrp 0.1 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 752 nohup python -u main.py -lbs 64 -nc 20 -jr 1 -nb 10 -data mnist -m dnn -algo pFedMe -gr 2000 -did 0 -lrp 0.01 -bt 1 -lam 15 -go dnn > mnist_pfedme.out 2>&1 & 753 ps ax | grep python 754 kill -9 2254936 755 nohup python -u main.py -lbs 64 -nc 20 -jr 1 -nb 10 -data Tiny-imagenet -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.01 -bt 1 -lam 15 -go cnn > tiny_imagenet_pfedme.out 2>&1 & 756 kill -9 3822913 757 nohup python -u main.py -lbs 64 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m cnn -algo pFedMe -gr 2000 -did 0 -lrp 0.01 -bt 1 -lam 15 -go cnn > tiny_imagenet_pfedme.out 2>&1 & 758 kill -9 3823541 759 nohup python -u main.py -lbs 64 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m resnet -algo pFedMe -gr 2000 -did 0 -lrp 0.01 -bt 1 -lam 15 -go resnet > tiny_imagenet_pfedme.out 2>&1 & 760 kill -9 3847544 761 nohup python -u main.py -lbs 64 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m resnet -algo pFedMe -gr 2000 -did 0 -lrp 0.001 -bt 1 -lam 5 -go resnet > tiny_imagenet_pfedme.out 2>&1 & 762 kill -9 3886790 763 nohup python -u main.py -lbs 128 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m resnet -algo pFedMe -gr 2000 -did 0 -lrp 0.001 -bt 1 -lam 5 -go resnet > tiny_imagenet_pfedme.out 2>&1 & 764 kill -9 3887528 765 nohup python -u main.py -lbs 128 -nc 20 -jr 1 -nb 200 -data Tiny-imagenet -m resnet -algo pFedMe -gr 2000 -did 0 -lrp 0.01 -bt 1 -lam 0.005 -go resnet > tiny_imagenet_pfedme.out 2>&1 & 766 ls 767 git clone https://github.com/smduan/Fed-TDA.git 768 conda activate /DATA1/bikash_dutta/CS/itds/.conda 769 clear 770 history 771 pwd 772 sudo update; sudo upgrade -y; reboot 773 sudo update; sudo upgrade -y; 774 sudo apt update; sudo apt upgrade -y; 775 reboot 776 ip a 777 cd /DATA1/ 778 cd bikash_dutta/CS/AML/ 779 mkdir proj 780 git clone https://github.com/aladdinpersson/Machine-Learning-Collection.git 781 conda activate dinov2 782 cd Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/8.\ Logging\ Tensorboard/ 783 clear 784 python3 train.py 785 pip3 install pytorch_lightning 786 python3 train.py 787 pip install -U 'tensorboard' 788 python3 train.py 789 clear 790 python3 train.py 791 conda activate dinov2 792 python '/DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/5. DataModule/simple_fc.py' 793 '/DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/6. Restructuring/train.py' 794 python '/DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/6. Restructuring/train.py' 795 cd /DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/6. Restructuring/ 796 cd "/DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/6. Restructuring/" 797 clear 798 ls 799 python model.py 800 python 801 python train.py 802 clear 803 python train.py 804 pip install torchmetrics -U 805 conda activate dinov2 806 cd "/DATA1/bikash_dutta/CS/AML/proj/Machine-Learning-Collection/ML/Pytorch/pytorch_lightning/6. Restructuring/" 807 python train.py 808 clear 809 python train.py 810 conda activate fl 811 pip3 install gdown 812 gdown -h 813 clear 814 pip install scikit-learn 815 pip install -U scikit-learn 816 clear 817 sudo dpkg -r anydesk 818 sudo dpkg -r teamviewer 819 cd /DATA1/bikash_dutta/ 820 ls 821 cd . 822 ls 823 cd .. 824 l 825 cd Downloads/ 826 ka 827 828 829 830 831 832 833 834 835 nvidia-smi 836 exi6 837 exit 838 nvidia-smi 839 840 nvidi-smi 841 nvidia-smi 842 history 843 sudo reboot 0 844 nvidia-smi 845 exit 846 nvidia-smi 847 exit 848 nvidia-smi 849 watch -n 0 nvidia-smi 850 exit 851 nvidia-smi 852 clear 853 ip a 854 clear 855 sudo apt update; sudo apt upgrade -y; 856 nvidia-smi 857 history 858 clear 859 ssh bikash@10.6.0.38 860 conda activate dinov2 861 pip install "diffusers[torch]" transformers 862 clear 863 python distill_unet.py 864 clear 865 python distill_unet.py 866 python distill_unet.py > unet_model_arch.txt 867 cd data/ 868 ls 869 cd cube-seg/ 870 ls 871 cd images/ 872 ls 873 tree 874 cd.. 875 clea 876 clear 877 cd .. 878 tree 879 tree . 880 tree -h 881 tree --help 882 tree -d 883 clear 884 tree --help 885 conda activate dinov2 886 clear 887 conda activate dinov2 888 class CubeSegDataset(Dataset): 889 /home/curie/miniconda3/envs/dinov2/bin/python 890 conda activate dinov2 891 clear 892 python3 distl/dataset.py 893 clear 894 python3 distl/dataset.py 895 clear 896 python3 distl/dataset.py 897 clear 898 python3 distl/model.py 899 clear 900 python3 distl/model.py 901 ce;^[[2~^[[2~^? 902 clear 903 python3 distl/model.py 904 python3 distl/main.py 905 cd distl/ 906 clear 907 python3 distl/main.py 908 python3 main.py 909 clear 910 python3 main.py 911 clear 912 python3 main.py 913 clear 914 python3 main.py 915 clear 916 python3 main.py 917 clear 918 python3 main.py 919 clear 920 python3 main.py 921 clear 922 python3 dataset.py 923 clear 924 python3 dataset.py 925 c;ear 926 cleara 927 clear 928 python3 dataset.py 929 clear 930 python3 dataset.py 931 clear 932 python3 dataset.py 933 clear 934 python3 dataset.py 935 clear 936 python3 dataset.py 937 clear 938 python3 dataset.py 939 clear 940 python3 dataset.py 941 conda activate dinov2 942 summary(model, (64,224,224,3),col_names=[]) 943 /home/curie/miniconda3/envs/dinov2/bin/python 944 conda activate dinov2 945 ls 946 clear 947 ls 948 cd distl/ 949 clear 950 l 951 sclear 952 clear 953 python3 dataset.py 954 clear 955 python main.py 956 clear 957 pip install torch-summary 958 clear 959 clea 960 rclear 961 clear 962 python unet/unet_model.py 963 cd unet/ 964 clear 965 python unet_model.py 966 clear 967 cd .. 968 python unet_model.py 969 clear 970 python unet_model.py 971 python unet/unet_model.py 972 clear 973 python unet/unet_model.py 974 clear 975 python unet/unet_model.py 976 clear 977 python unet/unet_model.py 978 clear 979 python unet/unet_model.py 980 clear 981 python unet/unet_model.py 982 clear 983 python unet/unet_model.py 984 clear 985 python unet/unet_model.py 986 clear 987 python unet/unet_model.py 988 clear 989 python unet/unet_model.py 990 clear 991 ls 992 clear 993 python3 main.py 994 clear 995 python3 main.py 996 clear 997 python3 main.py 998 ls 999 cd kshitiz 1000 ls 1001 cd exp_data/ 1002 ls 1003 du -sh 1004 clear 1005 ls 1006 cd .. 1007 ls 1008 cd kshitiz 1009 cd exp_data/ 1010 ls 1011 cd sshreshtha/ 1012 ls 1013 cd .. 1014 ls 1015 cd sshreshtha/ 1016 ls 1017 nvidia-smi 1018 exit 1019 cd kshitiz/ 1020 ls 1021 conda env create -f environment_simple.yml 1022 nvidia-smi 1023 conda env list 1024 conda activate Bird-GCN-Pre-Former 1025 python 1026 conda install -c conda-forge timm 1027 python 1028 conda list 1029 python 1030 conda install -c pytorch torchvision 1031 conda update -n base -c defaults conda 1032 conda install -c pytorch torchvision 1033 python 1034 ls 1035 python 1036 ls 1037 cd exp_data/ 1038 ls 1039 cd sshreshtha/ 1040 ls 1041 mkdir BirdFormer 1042 ls 1043 cd BirdFormer/ 1044 unzip code.zip 1045 cd code/ 1046 ls 1047 python train.py --dataset shb --data-dir /home/curie/kshitiz/exp_data/sshreshtha/CraneAaai --device 0 1048 conda install -c pytorch pytorch 1049 nvcc-version 1050 nvcc --version 1051 nvitop 1052 pip install nvitop 1053 nvitop 1054 sudo bash 1055 clear 1056 nvidia-smi 1057 nvitop 1058 nvtop 1059 pip install nvitop 1060 clear 1061 nvitop 1062 pip install nvitop 1063 nvitop 1064 apt-get update 1065 sshfs 1066 sudo apt install sshfs 1067 nvidia-smi 1068 clear 1069 ls 1070 nvidia-smi 1071 clear 1072 ls 1073 gpustat 1074 sudo apt install gpustat 1075 gpustat 1076 clear 1077 ls 1078 cd kshitiz 1079 ls 1080 mkdir dataset 1081 cd dataset/ 1082 pwd 1083 cd .. 1084 ls 1085 rm -rf dataset/ 1086 mkdir exp_data 1087 cd exp_data/ 1088 pwd 1089 cd .. 1090 ls 1091 sshfs kshitiz@10.6.0.38:/home/kshitiz/dataset /home/curie/kshitiz/exp_data 1092 ls 1093 cd exp_data/ 1094 ls 1095 /DATA1 1096 ls 1097 cd kshitiz/ 1098 ls 1099 cd exp_data/ 1100 ls 1101 cd sshreshtha/ 1102 ls 1103 nano text.txt 1104 ls 1105 nvidia-smi 1106 cd kshitiz/ 1107 cd ss 1108 cd exp_data/ 1109 cd sshreshtha/ 1110 cd BirdFormer/ 1111 conda env list 1112 conda activate Bird-GCN-Pre-Former 1113 nvitop 1114 pip install --upgrade nvitop 1115 nvdia-smi 1116 nvidia-smi 1117 conda install -c conda-forge nvitop 1118 nvitop 1119 git clone --depth=1 https://github.com/XuehaiPan/nvitop.git 1120 cd nvitop/ 1121 pip3 install . 1122 nvitop 1123 conda install -c conda-forge tmux 1124 tmux new -s Bird-Former 1125 nvidia-smi 1126 tmux a -t Bird-Former 1127 cd kshitiz/ 1128 conda env list 1129 conda activate Bird-GCN-Pre-Former 1130 cd kshitiz/exp_data/sshreshtha/BirdFormer/code 1131 tmux a -t Bird-Former 1132 nvitop 1133 nvidia-smi 1134 tmux a -t Bird-Former 1135 watch -n 0 nvidia-smi 1136 ps ax | grep python 1137 nvidia-smi 1138 watch nvidia-smi 1139 systemctl --user status docker-desktop 1140 cd Downloads/ 1141 ls 1142 wget https://desktop.docker.com/linux/main/amd64/docker-desktop-4.25.1-amd64.deb?utm_source=docker&utm_medium=webreferral&utm_campaign=docs-driven-download-linux-amd64 1143 ls 1144 clear 1145 wget "https://desktop.docker.com/linux/main/amd64/docker-desktop-4.25.1-amd64.deb?utm_source=docker&utm_medium=webreferral&utm_campaign=docs-driven-download-linux-amd64" -O docker-desktop.deb 1146 ls 1147 chmod +x docker-desktop.deb 1148 ls 1149 sudo apt install ./docker-desktop.deb 1150 systemctl --user status docker-desktop 1151 systemctl --user start docker-desktop 1152 systemctl --user status docker-desktop 1153 cd ~ 1154 ls 1155 mkdir compose 1156 cd compose/ 1157 mkdir mongodb 1158 cd mongodb/ 1159 micro docker-compose.yml 1160 docker-compose up 1161 sudo apt install docker-compose -y 1162 clear 1163 docker-compose up 1164 pip3 install docker-compose 1165 sudo apt-get install docker-compose-plugin 1166 docker compose version 1167 sudo apt-get update 1168 sudo apt-get install docker-compose-plugin 1169 clear 1170 docker-compose up 1171 python ~/Bikash/autologin.py 1172 clear 1173 ping google.com 1174 docker-compose up 1175 docker pull mongo 1176 micro docker-compose.yml 1177 docker pull mongo-express 1178 clear 1179 docker-compose up 1180 ls 1181 sudo chmod 666 /var/run/docker.sock 1182 which docker 1183 sudo chmod 666 /usr/local/bin/docker 1184 docker-compose up 1185 sudo service docker restart 1186 systemctl --user status docker-desktop 1187 systemctl --user restart docker-desktop 1188 docker-compose up 1189 docker run --name some-mongo -p 8081:8081 -d mongo 1190 sudo chmod 777 /usr/local/bin/docker 1191 docker run --name some-mongo -p 8081:8081 -d mongo 1192 docker-compose up 1193 docker-compose -v 1194 sudo apt-get remove docker-compose 1195 sudo rm /usr/local/bin/docker-compose 1196 pip uninstall docker-compose 1197 VERSION=$(curl --silent https://api.github.com/repos/docker/compose/releases/latest | grep -Po '"tag_name": "\K.*\d') 1198 DESTINATION=/usr/local/bin/docker-compose 1199 sudo curl -L https://github.com/docker/compose/releases/download/${VERSION}/docker-compose-$(uname -s)-$(uname -m) -o $DESTINATION 1200 sudo chmod 755 $DESTINATION 1201 docker-compose -v 1202 pip install docker-compose 1203 sudo chmod +x /usr/local/bin/docker-compose 1204 docker-compose -v 1205 cd /usr/local/bin/docker-comose 1206 cd /usr/local/bin/docker-compose 1207 DESTINATION=/usr/local/bin/docker-compose 1208 VERSION=$(curl --silent https://api.github.com/repos/docker/compose/releases/latest | grep -Po '"tag_name": "\K.*\d') 1209 $VERSION 1210 echo $VERSION 1211 echo $DESTINATION 1212 sudo curl -L https://github.com/docker/compose/releases/download/${VERSION}/docker-compose-$(uname -s)-$(uname -m) -o $DESTINATION 1213 sudo chmod 755 $DESTINATION 1214 sudo chmod +x /usr/bin/docker-compose 1215 cd /usr/local/bin/docker-compose 1216 ls 1217 clear 1218 wget "https://objects.githubusercontent.com/github-production-release-asset-2e65be/15045751/2d6ac8d0-da7c-4862-8ccf-8a0585c1f001?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20231116%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20231116T213151Z&X-Amz-Expires=300&X-Amz-Signature=9ecfe087ea14459a268b64e6eb13e4bc06146a0ef0dcdc25090a6b9626b9f637&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=15045751&response-content-disposition=attachment%3B%20filename%3Ddocker-compose-linux-x86_64&response-content-type=application%2Foctet-stream" 1219 ls 1220 mv '2d6ac8d0-da7c-4862-8ccf-8a0585c1f001?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20231116%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20231116T213151Z&X-Amz-Expires=300&X-Amz-Signature=9ecfe087ea14459a268b64e' docker-compose 1221 ls 1222 clear 1223 docker ps 1224 docker-compose -v 1225 cd compose/mongodb/ 1226 clear 1227 ls 1228 docker-compose up 1229 docker ps 1230 docker-compose down 1231 docker ps 1232 docker stop 46272994dac5 1233 docker rm 46272994dac5 1234 clear 1235 docker ps 1236 docker-compose up 1237 docker-compose up -d 1238 ifconfig 1239 docker ps 1240 micro docker-compose 1241 rm docker-compose.yml 1242 micro docker-compose.yml 1243 docker-compose down 1244 docker-compose up 1245 micro docker-compose.yml 1246 docker-compose up 1247 micro docker-compose.yml 1248 docker-compose up 1249 docker-compose up -d 1250 nvidia-smi 1251 conda activate cub 1252 cd face_cvpr/ 1253 python cub_image.py 1254 nvidia-smi 1255 cd face_cvpr/ 1256 ls 1257 unzip CUB_200_2011.tar 1258 untar CUB_200_2011.tar 1259 tar -xf CUB_200_2011.tar 1260 nano create_npy.py 1261 python create_npy.py 1262 conda env list 1263 conda activate dinov2 1264 python create_npy.py 1265 python cub_image.py 1266 pip install cv2 1267 conda create --name cub python=3.7 1268 conda activate cub 1269 python cub_image.py 1270 pip install torch 1271 python cub_image.py 1272 pip install tqdm 1273 python cub_image.py 1274 pip install numpy 1275 python cub_image.py 1276 pip install matplotlib 1277 python cub_image.py 1278 pip install torchvision 1279 python cub_image.py 1280 pip install opencv-python 1281 python cub_image.py 1282 pip insyall ftfy 1283 pip install ftfy 1284 pip insyall ftfy 1285 python cub_image.py 1286 pip install regex 1287 python cub_image.py 1288 python create_npy.py 1289 python cub_image.py 1290 conda activate cub 1291 cd face_cvpr/ 1292 python cub_image.py 1293 conda activate cub 1294 cd face_cvpr/ 1295 python cub_image.py 1296 git clone https://github.com/ZF4444/MMAL-Net.git 1297 ls 1298 cd MMAL-Net/ 1299 python fine_new.py 1300 pip install skimage 1301 pip install scikit-image 1302 pip install skimage 1303 python fine_new.py 1304 cd .. 1305 python cub_image.py 1306 nvidia-smi 1307 exit 1308 df -h 1309 cd /DATA1/ 1310 ls 1311 mkdir gaurav 1312 ls 1313 cd gaurav/ 1314 cd .. 1315 mv gaurav gaurav_lasagne_backup 1316 ls 1317 cd gaurav_lasagne_backup/ 1318 pwd 1319 ls 1320 cd gaurav/ 1321 ls 1322 cd .. 1323 cd /DATA1/bikash_dutta/Bikash\ Dutta/Downloads/ 1324 curl -l "https://5abf0ea9acc803a1830df6b0ba3a90aa.r2.cloudflarestorage.com/hub/Mission.Impossible.Dead.Reckoning.Part.One.2023.2160p.AMZN.WEB-DL.HIN-ENG-TAM-TEL.DDP5.1.Atmos.H.265-Vegamovies.to.mkv?X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=43efa6ef0217c5fa18b6646533f56e2d%2F20231118%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20231118T103936Z&X-Amz-SignedHeaders=host&X-Amz-Expires=28800&X-Amz-Signature=a1a66e0c2fe5858f54489ff06a49ea7e9351556c41f6b91bc13e7e9d1f06ef20" 1325 curl -l "https://5abf0ea9acc803a1830df6b0ba3a90aa.r2.cloudflarestorage.com/hub/Mission.Impossible.Dead.Reckoning.Part.One.2023.2160p.AMZN.WEB-DL.HIN-ENG-TAM-TEL.DDP5.1.Atmos.H.265-Vegamovies.to.mkv?X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=43efa6ef0217c5fa18b6646533f56e2d%2F20231118%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20231118T103936Z&X-Amz-SignedHeaders=host&X-Amz-Expires=28800&X-Amz-Signature=a1a66e0c2fe5858f54489ff06a49ea7e9351556c41f6b91bc13e7e9d1f06ef20" --output mi4.mkv 1326 8 1327 ls 1328 cd Bikash/ 1329 docker ps 1330 ls 1331 cd /DATA1/ 1332 ls 1333 cd ~ 1334 ;s 1335 ls 1336 cd Bikash/ 1337 ls 1338 cd cvat/ 1339 ls 1340 micro jf.yml 1341 cd /DATA1/bikash_dutta/Bikash\ Dutta/Downloads/ 1342 ls 1343 pwd 1344 cd ~/Bikash/cvat/ 1345 micro jf.yml 1346 docker-compose up 1347 docker-compose up -f jf.yml 1348 docker-compose -f jf.yml up 1349 micro jf.yml 1350 docker-compose -f jf.yml up 1351 micro jf.yml 1352 docker-compose -f jf.yml up 1353 micro jf.yml 1354 docker-compose -f jf.yml up 1355 docker-compose -f jf.yml up -d 1356 ssh bikash@10.6.0.38 1357 rm -rf .ssh/known_hosts 1358 clear 1359 ssh bikash@10.6.0.38 1360 ssh bikash@10.6.0.22 1361 cd Bikash/cvat/ 1362 docker-compose -f jf.yml down 1363 clear 1364 docker ps 1365 systemctl --user start docker 1366 docker ps 1367 clear 1368 docker ps 1369 sudo gsettings 1370 sudo settings 1371 sudo gsettings --help 1372 conda activate dinov2 1373 outputs 1374 /home/curie/miniconda3/envs/dinov2/bin/python 1375 conda activate dinov2 1376 cd M3 1377 clear 1378 python train.py 1379 clear 1380 python train.py 1381 clear 1382 python train.py 1383 ping google.com 1384 clear 1385 python train.py 1386 clear 1387 pytho dataset 1388 pytho dataset.py 1389 python dataset.py 1390 clear 1391 python train.py 1392 clear 1393 python train.py 1394 clear 1395 python train.py 1396 clear 1397 python train.py 1398 clear 1399 python train.py 1400 clear 1401 python train.py 1402 clear 1403 python train.py 1404 clear 1405 python train.py 1406 lcaer 1407 clear 1408 python train.py 1409 clear 1410 python train.py 1411 clear 1412 python train.py 1413 clear 1414 python train.py 1415 clear 1416 python train.py 1417 clear 1418 python train.py 1419 clear 1420 python train.py 1421 clear 1422 python train.py 1423 clear 1424 python train.py 1425 clear 1426 python train.py 1427 clear 1428 python train.py 1429 clear 1430 python train.py 1431 clear 1432 python train.py 1433 clear 1434 python train.py 1435 clear 1436 python train.py 1437 clear 1438 python train.py 1439 clear 1440 python train.py 1441 clear 1442 python train.py 1443 clear 1444 python train.py 1445 python dataset.py 1446 clear 1447 python dataset.py 1448 python train.py 1449 clear 1450 python train.py 1451 clear 1452 python train.py 1453 tensorboard --log-dir=tb_logs 1454 tensorboard --logdir=tb_logs 1455 conda activate dinov2 1456 cd .. 1457 l 1458 ld 1459 ls 1460 ps ax | grep tensor 1461 ls M3 1462 le 1463 clear 1464 tensorboard --logdir=tb_logs 1465 conda activate dinov2 1466 tensorboard --logdir=tb_logs 1467 tensorboard dev upload --logdir tb_logs 1468 tensorboard --logdir tb_logs 1469 cd M3 1470 tensorboard --logdir tb_logs 1471 cd M3/ 1472 python train.py 1473 conda activate dinov2 1474 cd M3/ 1475 python train.py 1476 clear 1477 conda activate dinov2 1478 cd M# 1479 cd M3 1480 tensorbord --logdir tb_logs 1481 tensorboard --logdir tb_logs 1482 conda activate dinov2 1483 pip3 install ipykernel 1484 watch -n 0 nvidia-smi 1485 pwd 1486 ls 1487 cd Bikash/ 1488 ls 1489 cd cvat/ 1490 ls 1491 cd jellyfin/ 1492 ls 1493 cd .. 1494 ls 1495 docker compose up -f jf.yml -d 1496 docker compose -f jf.yml up -d 1497 mv /DATA1/bikash_dutta/CS/AML/Major/fast\ 7.mkv /DATA1/bikash_dutta/Bikash\ Dutta/Downloads/ 1498 ls 1499 cd /DATA1/bikash_dutta/Bikash\ Dutta/Downloads/ 1500 l 1501 wget "https://2workerdevsimplelogicpoweredbyawsa.sonakshilohar.beauty/d/q6ocl6346uohr44korj5kflx2wqrnrxdnhfozjejrhclek5hfl2vkutzhfohayagz7yrbkt2/Sweet%20Home.720p.zip" 1502 cd /DATA1/bikash_dutta/Bikash\ Dutta/Downloads/ 1503 l 1504 $F 1505 $F = "Sweet Home.720p.zip" 1506 for f in *.zip; do unzip "$f" -d "${f%.zip}"; done 1507 ls 1508 mkdir Shows 1509 ls 1510 mv "Sweet Home.720p" Shows/ 1511 s 1512 l 1513 rm -rf "Sweet Home.720p.zip" 1514 cd Shows/ 1515 ls 1516 mv Sweet\ Home.720p/ Sweet\ Home 1517 cd Sweet\ Home/ 1518 ls 1519 cd Sweet\ Home.720p/ 1520 ls 1521 cd .. 1522 ls 1523 mkdir "Season 1" 1524 mv "Sweet Home.720p"/* Season\ 1/ 1525 cd Season\ 1/ 1526 ls 1527 cd .. 1528 rm Sweet\ Home.720p/ 1529 rm -rf Sweet\ Home.720p/ 1530 ls 1531 clear 1532 cd ../.. 1533 mv Shows/ .. 1534 ls 1535 cd .. 1536 ls 1537 conda activate dinov2 1538 watch -n 0 nvidia-smi 1539 cd Major/ 1540 ls 1541 git clone https://github.com/lllyasviel/Fooocus.git 1542 cd Fooocus 1543 conda env create -f environment.yaml 1544 conda activate fooocus 1545 pip install -r requirements_versions.txt 1546 python3 entry_with_update.py 1547 clear 1548 python3 entry_with_update.py 1549 clear 1550 conda activate dinov2 1551 clear 1552 ls 1553 cd Major/Fooocus/models/ 1554 ls 1555 cd checkpoints/ 1556 ls 1557 wget 1558 wget "https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2181562/textxl.M6q5.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22textxl.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20231203/us-east-1/s3/aws4_request&X-Amz-Date=20231203T201709Z&X-Amz-SignedHeaders=host&X-Amz-Signature=3426d60274aef73edc9f526616d7fc7ee21e270bc15d0c59e1b71e996dbe89bf" -O textxl.safetensors 1559 cd .. 1560 ls 1561 cd loras/ 1562 ls 1563 wget "https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2066781/neolin3.nmFg.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22neolin3.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20231203/us-east-1/s3/aws4_request&X-Amz-Date=20231203T222643Z&X-Amz-SignedHeaders=host&X-Amz-Signature=d4f5bfebb6bae5548ce4db2ed65872b713c182381d06c6a2de1b7b70b1cf7e4a" -O neolin3.safetensors 1564 pip3 install graphviz 1565 conda activate dinov2 1566 conda env list 1567 conda activate fooocus 1568 cd Major/ 1569 clear 1570 python demo.py 1571 clear 1572 python demo.py 1573 python demo.py --reload 1574 pip install diffusers["torch"] transformers 1575 clear 1576 cd Demo/ 1577 python demo.py 1578 clear 1579 python demo.py 1580 clear 1581 python demo.py 1582 clear 1583 python demo.py 1584 clear 1585 python demo.py 1586 clear 1587 python demo.py 1588 clear 1589 python demo.py 1590 clear 1591 python demo.py 1592 clear 1593 python demo.py 1594 nohup python -u demo.py > run_logs.txt 1595 nohup python -u demo.py > run_logs.txt& 1596 conda activate fooocus 1597 watch -n - nvidia-smi 1598 conda activate fooocus 1599 cd Major/Demo/ 1600 clear 1601 ls 1602 ps ax | grep python 1603 kill -9 240687 1604 ps ax | grep python 1605 nohup python -u demo.py > run_logs.txt& 1606 ps ax | grep python 1607 kill -9 433854 1608 nohup python -u demo.py > run_logs.txt& 1609 kill -9 433854 1610 ps ax | grep python 1611 kill -9 434777 1612 1613 nohup python -u demo.py > run_logs.txt& 1614 ps ax | grep python 1615 kill -9 435336 1616 nohup python -u demo.py > run_logs.txt& 1617 ps ax | grep python 1618 kill -9 436402 1619 ps ax | grep python 1620 nohup python -u demo.py > run_logs.txt& 1621 kill -9 436917 1622 nohup python -u demo.py > run_logs.txt& 1623 kill -9 437213 1624 nohup python -u demo.py > run_logs.txt& 1625 kill -9 438220 1626 nohup python -u demo.py > run_logs.txt& 1627 kill -9 438606 1628 nohup python -u demo.py > run_logs.txt& 1629 kill -9 439149 1630 nohup python -u demo.py > run_logs.txt& 1631 kill -9 440032 1632 nohup python -u demo.py > run_logs.txt& 1633 kil -9 441974 1634 kill -9 441974 1635 ps ax | grep python 1636 kill -9 439432 1637 nohup python -u demo.py > run_logs.txt& 1638 cd .. 1639 ls 1640 cd Fooocus/ 1641 ls 1642 ps ax | grep python 1643 kill -9 442439 1644 history | grep nohup 1645 history | grep python 1646 clear 1647 nohup python3 entry_with_update.py > run_logs.txt& 1648 conda activate fooocus 1649 cd Major/Demo/ 1650 nohup python -u demo.py > run_logs.txt& 1651 kill -9 652575 1652 python -u demo.py 1653 clear 1654 python -u demo.py 1655 clear 1656 python -u demo.py 1657 sudo ./install.sh 1658 sudo reboot -y; 1659 sudo reboot 1660 sudo apt update; sudo apt upgrade -y 1661 sudo settings 1662 sudo gnome-control-center 1663 cd Downloads/ 1664 ls] 1665 ls 1666 wget "https://anydesk.com/en/downloads/thank-you?dv=deb_64" -o anydesk.deb 1667 ls 1668 chmod +x anydesk.deb 1669 sudo dpkg -i anydesk.deb 1670 sudo apt -i anydesk.deb 1671 sudo apt instll anydesk.deb 1672 sudo apt insatll anydesk.deb 1673 wget "https://download.anydesk.com/linux/anydesk_6.3.0-1_amd64.deb" -O anydesk.deb 1674 ls 1675 sudo apt -i anydesk.deb 1676 sudo dpkg -i anydesk.deb 1677 anydesk 1678 anydesk -h 1679 anydesk -getid 1680 anydesk --getid 1681 anydesk --get-id 1682 clear 1683 ls 1684 nvidia-smi 1685 clear 1686 ls 1687 clear 1688 nvidia-smi 1689 nvitop 1690 htop 1691 sudo apt install htop 1692 htop 1693 clear 1694 conda activate expm 1695 ls 1696 python 1697 conda list info 1698 numpy 1699 nvidia-smi 1700 ls 1701 pip install torch 1702 import torch 1703 python 1704 which python 1705 python 1706 exit() 1707 conda deactivate expm 1708 exit 1709 python 1710 conda create -n env python=3.8 1711 conda activate env 1712 pip3 install torch 1713 python 1714 python3 1715 python 1716 pip uninstall numpy 1717 pip install numpy 1718 python 1719 ls 1720 code. 1721 clear 1722 exit 1723 ls 1724 conda activate env 1725 cd kshitiz/ 1726 cd assignment/ 1727 git clone https://github.com/microsoft/SmartKC-A-Smartphone-based-Corneal-Topographer.git 1728 du -sh 1729 cd .. 1730 exit 1731 ls 1732 clear 1733 ls 1734 conda 1735 conda list info 1736 conda list envs 1737 conda create -n expm 1738 conda activate expms 1739 conda activate expm 1740 clear 1741 python 1742 clear 1743 pip install torch torchvision 1744 pip install torch 1745 python 1746 pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 1747 clear 1748 python 1749 du -sh 1750 df -h 1751 pwd 1752 df -sh 1753 du -sh 1754 ls 1755 cd kshitiz 1756 ls 1757 clear 1758 ls 1759 mv Sid-Interview-Videos.zip cv_kerat/ 1760 ls 1761 cd cv_kerat/ 1762 ls 1763 unzip Sid-Interview-Videos.zip 1764 lls 1765 ls 1766 clear 1767 ls 1768 cd kshitiz 1769 ls 1770 cd cv_kerat/ 1771 ls 1772 cd code 1773 ls 1774 conda activate env 1775 pip install opencv-python 1776 ls 1777 pip install numpy 1778 clear 1779 ls 1780 clear 1781 python3 find.py 1782 ls 1783 cd kshitiz/cv_kerat/code/ 1784 ls 1785 clear 1786 vim 1787 ls 1788 cd .. 1789 1790 sudo apt update ; sudo apt upgrade -y; reboot 1791 sudo apt update ; sudo apt upgrade -y; 1792 sudo apt upgrade -y; 1793 reboot 1794 ls 1795 cd Downloads 1796 ls 1797 cd .. 1798 cd . 1799 ls 1800 cd DATA1 1801 cd /DATA1/ 1802 ls 1803 cd sshreshtha 1804 ls 1805 cd .. 1806 ls 1807 cd .. 1808 cd . 1809 ls 1810 cd ../ 1811 cd../../ 1812 cd . 1813 ls 1814 cd DATA1 1815 ls 1816 cd . 1817 cd .. 1818 ls 1819 ls -a 1820 cd . 1821 cd ... 1822 cd /DATA1/ 1823 ls 1824 mkdir dhyan 1825 scp bcca@192.168.1.1:/home/bcca/Music/task_2.py /DATA1/dhyan/ 1826 cd .. 1827 ls 1828 rm -rf dhyan 1829 ls 1830 cd /DATA1/ 1831 ls 1832 cd dhyan 1833 ls 1834 cd .. 1835 cd sshreshtha 1836 ls 1837 cd DSLR 1838 ls 1839 cd .. 1840 ls 1841 cd yasmeena 1842 ls 1843 cd .. 1844 ls 1845 cd sshreshtha 1846 ls 1847 cd .. 1848 ls 1849 cd /DATA1/ 1850 ls 1851 cd Yas 1852 cd yasmeena/ 1853 ls 1854 cd Dataset_folder/ 1855 ls 1856 cd .. 1857 ls 1858 cd MIMIC_CXR/ 1859 ls 1860 cd physionet.org/files/mimic-cxr-jpg/2.0.0/ 1861 ls 1862 cd files/ 1863 ls 1864 cd 1865 find chest 1866 cd Data1 1867 cd DATA1 1868 cd /DATA1/ 1869 LS 1870 ls 1871 cd Downloads/ 1872 ls 1873 cd .. 1874 cd yasmeena/ 1875 ls 1876 cd Dataset_folder/ 1877 LS 1878 ls 1879 cd .. 1880 cd Neurips2022/ 1881 ls 1882 cd /DATA1/ 1883 ls 1884 cd yasmeena 1885 ls 1886 cd silico_svs 1887 ls 1888 sudo nano /etc/samba/smb.conf 1889 sudo systemctl restart smb 1890 sudo systemctl restart smbd.service 1891 celar 1892 clear 1893 ls 1894 cd profiles/ 1895 ls 1896 cd .. 1897 cd /DATA1/ 1898 ls 1899 cd bikash_dutta/ 1900 ls 1901 pwd 1902 ls 1903 conda activate df 1904 watch -n 0 nvidia-smi 1905 btop 1906 docker images 1907 docker ps 1908 streamlit run frontend/main.py 1909 streamlit run frontend/test.py 1910 streamlit run frontend/test.py --relaod 1911 streamlit run frontend/test.py 1912 streamlit run frontend/main.py 1913 conda env list 1914 conda create -n df python=3.10 -y 1915 conda activate df 1916 pip3 install -r requirements.txt 1917 conda deactivate 1918 conda env -h 1919 conda env remove dl 1920 conda env remove df 1921 conda remove df 1922 conda remove -n df --all 1923 conda create -n df python=3.7 -y 1924 conda activate df 1925 pip3 install -r requirements.txt 1926 conda remove -n df --all 1927 conda deactivate 1928 conda create -n df python=3.8 -y 1929 conda activate df 1930 pip3 install -r requirements.txt 1931 conda deactivate 1932 conda remove -n df --all 1933 conda create -n df python=3.6 -y 1934 conda activate df 1935 pip3 install -r requirements.txt 1936 pip install fastapi 1937 pip install "uvicorn[standard]" 1938 python dependable_ai.py 1939 clear 1940 uvicorn backend:app --reload 1941 pip install python-multipart 1942 python models.py 1943 uvicorn backend:app --reload 1944 clear 1945 uvicorn backend:app --reload 1946 clear 1947 uvicorn backend:app --reload 1948 clear 1949 uvicorn backend:app --reload 1950 clear 1951 uvicorn backend:app --reload 1952 clear 1953 pip3 install streamlit 1954 uvicorn backend:app --reload --host 0.0.0.0 1955 pip3 install ffmpeg 1956 clear 1957 uvicorn backend:app --reload --host 0.0.0.0 1958 pip install ffprobe 1959 uvicorn backend:app --reload --host 0.0.0.0 1960 docker-compose up 1961 pip3 freeze > requirements.txt 1962 docker-compose up 1963 conda activate df 1964 python dependable_ai.py 1965 cd /DATA1/ 1966 ls 1967 cd bikash_dutta/ 1968 ls 1969 cd DetectionTool_Updated/ 1970 ;s 1971 ls 1972 pwd 1973 cd BPRnD\ samples/ 1974 pwd 1975 ls 1976 sudo rm -r /media/usb_extra/ 1977 ls 1978 clear 1979 cd /media/curie/usb_extra/ 1980 l 1981 ls -lart 1982 cd .. 1983 ls 1984 cd bikash/ 1985 ls 1986 sudo cd bikash/ 1987 sudo su 1988 ls 1989 pwd 1990 sudo su 1991 cd /media/curie/ 1992 ls 1993 rm -rf usb_extra/ 1994 ls 1995 sudo chmod 777 usb/ 1996 clear 1997 ls 1998 python dependable_ai.py 1999 conda activate df 2000 python dependable_ai.py 2001 clear 2002 conda activate df 2003 which python 2004 conda activate df 2005 conda -v 2006 conda activate df 2007 conda init zsh 2008 conda activate df 2009 which python 2010 clear 2011 uvicorn backend:app --reload --host 0.0.0.0 2012 python dependable_ai.py 2013 conda activate df 2014 python dependable_ai.py 2015 cd /media/curie/usb 2016 ls 2017 cd Downloads 2018 wget "https://video-downloads.googleusercontent.com/ADGPM2mQA8s2JjMZ6ZzpHO6LKcv6jyvJ0JMnfgr-agsma0mw77J-xVEKiKhgjqY-qy1uiddsGLwb333RtVuW0nD5L6vxpi95pY5pWod1upaNUECQDsfdu4QuVnpqVQHBDPS_NUztPa5CXaopIgXH3XxKx0iU6yq_qFSFl9lxW_ag-lLZSEl8RjvOKCBVvufcIWkspKOH6AuTFyZHdCUsKaS5_MQw_OAsj0Bj1-fKY1fP27Boq3wXVkui3MQcz7ZtLmiuLA-Wo1YDUwJgHBbSQ1MyEo1vF-o3BJMIAT7aYjCFR5Gy8EIgsULJo2h4ld-s0X4KRs20oYvbGl9_N_XOaEJIwrMRWn7R80rs0RuqMV02n0d4Y-CKy1_LdWHcAA1N5ioE4sFIgVlLnonA4Aw3-iLrvBwTzlHa4XYpKZAOFAN7EoD4iY5PB47F6NOk4_D-I2DVFMaeJPsB85MFk6nG_q4lm81nh4CT9Y73pz91NTGJEm928AQc1HQkWi4wmDICEf9gLw8YD73Tu37WI9UKb14HzkNw5TPaJRTaEqatYx3bCFM2_PwiSwuqiQtKb7MjdYacPhMehqD_mbLGis1glnHv9g_dNeyv_T7aRVOKAB8B_90bbOi5KMNph9to_0fMuzcVFDLI0h17hylP5qfi1-69pzkjb5YVk_NLmFzHU2a5KTKq1aTVJTlEiy3qeQcLL5p3XvN6_lxBzmX-8n_mS81Y5peJd8m9Uq4Ba8dToZJ_Seus_TFfd-ukvxY2TUR8G7VzHi1hr8jO_ILU2-d4ChdfBnwpidcvYoSQBnzdd-B81I8GCp-Cb2A9h9OdcdDwtE7Mh0ptDo5cGyPs6LtDL9l1DYStmSzamFQ0u4DPHbpzHMJ_yEwbkPuY_icMrPNk8rf-vuZ5tvIVTM-CceWFTQ3AHp28vug1Ugr1TOMeCrEwsRzDj_5MqfrZNUxSUSHwjctp0Zqg-ZtqmFrRCr0nFhMnl3XDY3G4evG9eTClHwbtqKQYHoPMRNAK1v9XZs6aRklghTdeq2xVWrQPXnrwf4n3EsH1Hpfzw7-ZgqwyKNa0q5yZLjzpEQl24p1ObBXLjLYzQ3qQ4MR6K7aW5SgCc63tkCBt-j4mA4URz1VqoTBXSlkxmR_uBGQNLu0-SiUa2Mk6lk8W4p3P" 2019 ls 2020 mv ADGPM2mQA8s2JjMZ6ZzpHO6LKcv6jyvJ0JMnfgr-agsma0mw77J-xVEKiKhgjqY-qy1uiddsGLwb333RtVuW0nD5L6vxpi95pY5pWod1upaNUECQDsfdu4QuVnpqVQHBDPS_NUztPa5CXaopIgXH3XxKx0iU6yq_qFSFl9lxW_ag-lLZSEl8RjvOKCBVvufcIWkspKOH6AuTFyZHdCUsKaS5_MQw_OAsj0Bj1-fKY1fP "You.Dont.Mess.with.the.Zohan.2008.1080p.BluRay.x264.Hindi.Eng.Vegamovies.to.mkv" 2021 ls 2022 clear 2023 ls 2024 wget 2025 wget "https://video-downloads.googleusercontent.com/ADGPM2kkKWjUf12dyIWaZL9IXKVCqWwU_1YvaH6enNAwCsBwGUQENNjLVCVDef4eUTtSyuDAA2AOvHheVBBSJqy25WGVQ0k60Czy894-nzTftq6dBhnnVIEb_-RMXwVpctpOsdZ9zZbuyGFtBwEMB2AmTWdNK_jyC1EexTVX-l5i8TLxhSQ6hRSbu3tz6QzGipYttCBheY20Yakxkj3ux35FGUCN7UD6UC9lbk1WfGpB2Zn0Pu2S5h-UKk6BgM40QFdh8vcRYHTbGiXw9tiODu140Dn3GPVgzVPIDF6C84fzeNbi34KQtTNucoYb-tHeADpq6W_PlV3nKKTY7kh34ivL756zIhu_uL7RGXVWrMHb6kDNDrvCYGQlf0409OicehF7-8FLBigf9T4vXaKeOo8FIGOg77o7X0VTuiI6EQI_Yxw2GtgigiaMw-M1MOFjWMmSJIhCqffOZBOhsTZUsL6WM36ZphTn589A97qMyb1_ThicSn3_sE8Flz76ps20-n0QXbRkEBUdSJJx5d6S94YOOJlnSNxPTgmUIpc-CHubyVq9ZV8RZGXdAE1WVUeRB4d7SV6nVtIV2z65hzdxgTZ8LLfzIfmaEugd7qYy5h8BLzSxZ5XPFuALgckoetl5jvv8g09ePNUuXDATfsEyHtTXbwJJjnEUHIcc8F7q2yH__rOSDTXX63UrS9jXB1IHtetlfi6qWiltRwxbXR6nmAluM4-4hKZW4OkPeY6CLxpuM9Ym7xXYDcaq_cHt_TQmneHjTPamBzVqSGMa0O9oy5PpPNv8t_l5xc5NSlPnuziOvaxGsJQW39p6midWByFmCnxF84FgBMbXwk4oTjGdBP3mrYFvppJo9OeLAPQzyTUp_02Ge_Fq_rrCSsPeaVE6BVqFWZLThLscWwKEbyEycRglVHeE8woFpATFYu6N8kqW2imudiwdReKuFO7_6FSZQYe6aRa8N-_Z8zEMdeImcbPXdoZjeQ5cz7LylNyTywsR2o8eDqODWot7sN7p-oqsAoBPaozwnOJCzE9fEywh2TqON70Vyb272YE9OZNo6PToeUVJ0052ZibLh1ntMI6OojLloyfFuzty0lszSE0sf6NehPc2fwEpHD9BsOYbbRiwL50vegavgABxXsaw6tv1ibCOlJwz3mzv" -O The.Dictator.2012.1080p.Hindi-English.[Vegamovies.NL].mkv 2026 wget "https://video-downloads.googleusercontent.com/ADGPM2kkKWjUf12dyIWaZL9IXKVCqWwU_1YvaH6enNAwCsBwGUQENNjLVCVDef4eUTtSyuDAA2AOvHheVBBSJqy25WGVQ0k60Czy894-nzTftq6dBhnnVIEb_-RMXwVpctpOsdZ9zZbuyGFtBwEMB2AmTWdNK_jyC1EexTVX-l5i8TLxhSQ6hRSbu3tz6QzGipYttCBheY20Yakxkj3ux35FGUCN7UD6UC9lbk1WfGpB2Zn0Pu2S5h-UKk6BgM40QFdh8vcRYHTbGiXw9tiODu140Dn3GPVgzVPIDF6C84fzeNbi34KQtTNucoYb-tHeADpq6W_PlV3nKKTY7kh34ivL756zIhu_uL7RGXVWrMHb6kDNDrvCYGQlf0409OicehF7-8FLBigf9T4vXaKeOo8FIGOg77o7X0VTuiI6EQI_Yxw2GtgigiaMw-M1MOFjWMmSJIhCqffOZBOhsTZUsL6WM36ZphTn589A97qMyb1_ThicSn3_sE8Flz76ps20-n0QXbRkEBUdSJJx5d6S94YOOJlnSNxPTgmUIpc-CHubyVq9ZV8RZGXdAE1WVUeRB4d7SV6nVtIV2z65hzdxgTZ8LLfzIfmaEugd7qYy5h8BLzSxZ5XPFuALgckoetl5jvv8g09ePNUuXDATfsEyHtTXbwJJjnEUHIcc8F7q2yH__rOSDTXX63UrS9jXB1IHtetlfi6qWiltRwxbXR6nmAluM4-4hKZW4OkPeY6CLxpuM9Ym7xXYDcaq_cHt_TQmneHjTPamBzVqSGMa0O9oy5PpPNv8t_l5xc5NSlPnuziOvaxGsJQW39p6midWByFmCnxF84FgBMbXwk4oTjGdBP3mrYFvppJo9OeLAPQzyTUp_02Ge_Fq_rrCSsPeaVE6BVqFWZLThLscWwKEbyEycRglVHeE8woFpATFYu6N8kqW2imudiwdReKuFO7_6FSZQYe6aRa8N-_Z8zEMdeImcbPXdoZjeQ5cz7LylNyTywsR2o8eDqODWot7sN7p-oqsAoBPaozwnOJCzE9fEywh2TqON70Vyb272YE9OZNo6PToeUVJ0052ZibLh1ntMI6OojLloyfFuzty0lszSE0sf6NehPc2fwEpHD9BsOYbbRiwL50vegavgABxXsaw6tv1ibCOlJwz3mzv" -O "The.Dictator.2012.1080p.Hindi-English.[Vegamovies.NL].mkv" 2027 ls 2028 clear 2029 cd ~/Bikash/cvat/ 2030 ls 2031 nano j 2032 nano jf.yml 2033 docker-compose down 2034 systemctl --user start docker 2035 anydesk --get-id 2036 anydesk 2037 anydesk --get-id 2038 sudo reboot 2039 clear 2040 anydesk --get-id 2041 uvicorn backend:app --reload --host 0.0.0.0 2042 comnda activate df 2043 conda activate df 2044 uvicorn backend:app --reload --host 0.0.0.0 2045 conda activate df 2046 streamlit run frontend/main.py 2047 pip install ffprob 2048 pip install mediapipe==0.10.1\n 2049 pip3 install mediapipe==0.10.1\n 2050 pip3 install mediapipe 2051 anydesk --get-id 2052 python ~/Bikash/autologin.py 2053 ping google.com 2054 cd ~/Bikash/cvat/ 2055 docker-compose -f jf.yml up -d 2056 conda activate df 2057 python --version 2058 clear 2059 which python 2060 pip3 install mediapipe 2061 pip install mediapipe 2062 py -m pip install mediapipe 2063 python -m pip install mediapipe 2064 conda activate df 2065 conda remove -n df --all 2066 conda deactivate 2067 conda remove -n df --all 2068 conda create -n df python=3.10 -y 2069 conda activate df 2070 pip3 install -r requirements.txt 2071 which python 2072 uvicorn backend:app --reload --host 0.0.0.0 2073 pip3 install -r requirements.txt 2074 uvicorn backend:app --reload --host 0.0.0.0 2075 pip3 install -r requirements.txt 2076 uvicorn backend:app --reload --host 0.0.0.0 2077 conda activate df 2078 docker run -it --gpus=all --rm nvidia/cuda:11.4.2-base-ubuntu20.04 nvidia-smi 2079 docker pull nvidia/cuda 2080 docker ps 2081 ls 2082 micro dc.yml 2083 docker-compose -f dc.yml up 2084 docker run -it --gpus=all --rm nvidia/cuda:12.3.1-base-ubuntu20.04 nvidia-smi 2085 uvicorn backend:app --reload --host 0.0.0.0 2086 sudo apt install ffmpeg 2087 clear 2088 uvicorn backend:app --reload --host 0.0.0.0 2089 conda activate df 2090 /home/curie/miniconda3/envs/df/bin/python /DATA1/bikash_dutta/DetectionTool_Updated/trill_feat.py 2091 clear 2092 /home/curie/miniconda3/envs/df/bin/python /DATA1/bikash_dutta/DetectionTool_Updated/trill_feat.py 2093 clear 2094 uvicorn backend:app --reload --host 0.0.0.0 2095 pip3 install -r requirements.txt 2096 uvicorn backend:app --reload --host 0.0.0.0 2097 pip3 install -r requirements.txt 2098 cd /DATA1 2099 ls 2100 cd bikash_dutta 2101 ls 2102 cd Bikash\ Dutta 2103 ls 2104 cd .. 2105 ls 2106 cd DetectionTool_Updated 2107 ls 2108 pwd 2109 clear 2110 conda activate df 2111 uvicorn backend:app --reload --host 0.0.0.0 2112 PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python 2113 uvicorn backend:app --reload --host 0.0.0.0 2114 pip3 install -r requirements.txt 2115 clear 2116 uvicorn backend:app --reload --host 0.0.0.0 2117 pip3 install -r requirements.txt 2118 pip3 remove wandb 2119 pip3 uninstall wandb 2120 pip3 install -r requirements.txt 2121 export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python\n 2122 uvicorn backend:app --reload --host 0.0.0.0 2123 pip3 install -r requirements.txt 2124 uvicorn backend:app --reload --host 0.0.0.0 2125 pip install facenet-pytorch 2126 uvicorn backend:app --reload --host 0.0.0.0 2127 conda deactivate 2128 conda create -n df_old python=3.6 -y 2129 conda activate df_old 2130 pip3 install -r requirements_back.txt 2131 uvicorn backend:app --reload --host 0.0.0.0 2132 clear 2133 uvicorn backend:app --reload --host 0.0.0.0 2134 pip3 install -r requirements_back.txt 2135 uvicorn backend:app --reload --host 0.0.0.0 2136 pip uninstall typing_extensions\n 2137 pip uninstall fastapi\n 2138 pip3 install -r requirements_back.txt 2139 uvicorn backend:app --reload --host 0.0.0.0 2140 pip uninstall typing_extensions\npip uninstall fastapi\npip install --no-cache fastapi 2141 uvicorn backend:app --reload --host 0.0.0.0 2142 cd ~/.cache/torch/hub/checkpoints 2143 ls 2144 rm -rf alexnet-owt-7be5be79.pth densenet121-a639ec97.pth dinov2_vitb14_pretrain.pth dinov2_vits14_pretrain.pth resnet18-f37072fd.pth resnet34-b627a593.pth resnet50-0676ba61.pth vgg11-8a719046.pth vgg16-397923af.pth vgg19-dcbb9e9d.pth WIDERFace_DSFD_RES152.pth 2145 clear 2146 ls 2147 cd .. 2148 conda activate df_old 2149 uvicorn backend:app --reload --host 0.0.0.0 2150 clear 2151 uvicorn backend:app --reload --host 0.0.0.0 2152 ipython 2153 uvicorn backend:app --reload --host 0.0.0.0 2154 conda deactivate 2155 conda activate df 2156 uvicorn backend:app --reload --host 0.0.0.0 2157 clear 2158 docker-compose -f dc.yml up 2159 docker-compose up 2160 python ~/Bikash/autologin.py 2161 sudo reboot 2162 python ~/Bikash/autologin.py 2163 docker-compose up 2164 conda activate df_old 2165 tensorflow --version 2166 ipython 2167 docker kill $(docker ps -q)\ndocker_clean_ps\ndocker rmi $(docker images -a -q) 2168 docker system prune -a 2169 clear 2170 docker-compose up 2171 conda activate df 2172 df 2173 pip freeze 2174 docker-compose up 2175 cd Bikash/cvat 2176 docker-compose up -f jf.yml -d 2177 docker-compose -f jf.yml up -d 2178 docker-compose up 2179 df 2180 docker-compose up 2181 docker-compose -f jf.yml up -d 2182 docker-compose up 2183 docker ps 2184 docker images 2185 docker-compose up -d 2186 clear 2187 docker-compose up -d 2188 docker system prune -a 2189 docker-compose up -d 2190 docker ps 2191 docker-compose up -d 2192 docker-compose up -d --build 2193 docker log 226db97818e6d56125460013bd775ffa58cf1308d589ba79bb586aa6be97f66a 2194 docker logs tail 226db97818e6d56125460013bd775ffa58cf1308d589ba79bb586aa6be97f66a 2195 docker logs --help 2196 docker logs -t 1000 226db97818e6d56125460013bd775ffa58cf1308d589ba79bb586aa6be97f66a 2197 docker logs -t 226db97818e6d56125460013bd775ffa58cf1308d589ba79bb586aa6be97f66a 2198 docker-compose up -d --build 2199 streamlit run frontend/main.py 2200 conda activate df 2201 conda create -n df python=3.10 -y 2202 conda activate df 2203 pip3 install -r requirements.txt 2204 streamlit run frontend/main.py 2205 pip3 install matplotlib 2206 streamlit run frontend/main.py 2207 pip3 install pip install fastapi-jwt-auth 2208 clear 2209 docker-compose down 2210 clear 2211 uvicorn backend:app --reload --host 0.0.0.0 2212 conda activate df 2213 nohup uvicorn backend:app --reload --host 0.0.0.0 > run_logs_backend.txt& 2214 nohup streamlit run frontend/main.py > run_logs_frontend.txt& 2215 kill -9 257278 2216 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8501 > run_logs_frontend.txt& 2217 conda activate df 2218 docker-compose up -d 2219 touch info.txt 2220 wget 2221 wget "https://thor.robots.ox.ac.uk/datasets/penguins/CompleteAnnotations_2016-07-11.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/Splits_2016-07-11.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/BAILa.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/DAMOa.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/GEORa.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/HALFb.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/HALFc.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/LOCKb.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/MAIVb.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/MAIVc.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/NEKOa.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/NEKOb.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/NEKOc.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/PETEc.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/PETEd.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/PETEe.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/PETEf.tgz\nhttps://thor.robots.ox.ac.uk/datasets/penguins/SPIGa.tgz" 2222 wget "https://thor.robots.ox.ac.uk/datasets/penguins/CompleteAnnotations_2016-07-11.tgz\n" 2223 reboot 2224 sudo reboot 2225 clear 2226 anydesk --get-id 2227 htop 2228 btop 2229 btop --utf-force 2230 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8501 > run_logs_frontend.txt& 2231 conda activate df 2232 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8888 > run_logs_frontend.txt& 2233 nohup uvicorn backend:app --reload --host 0.0.0.0 > run_logs_backend.txt& 2234 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8888 > run_logs_frontend.txt& 2235 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8081 > run_logs_frontend.txt& 2236 streamlit run frontend/main.py --server.address=0.0.0.0 2237 nohup streamlit run frontend/main.py --server.address=0.0.0.0 --server.port=8888 > run_logs_frontend.txt& 2238 ls 2239 cd /DATA1 2240 ls 2241 scp -r gaurav_lasagne_backup gaurav@10.6.0.38:/home/gaurav 2242 rm ~/.ssh/known_hosts 2243 scp -r gaurav_lasagne_backup gaurav@10.6.0.38:/home/gaurav 2244 python dependable_ai.py 2245 codnda activate df 2246 python dependable_ai.py 2247 conda activate df 2248 python dependable_ai.py 2249 pip3 install PyQt5 2250 python dependable_ai.py 2251 conda activate df 2252 python dependable_ai.py 2253 conda env list 2254 conda create -n df_old python=3.6 -y 2255 conda activate df_old 2256 which python 2257 pip3 install -r requirements_back.txt 2258 python dependable_ai.py 2259 pip3 install -r requirements_back.txt 2260 python dependable_ai.py 2261 ipython 2262 which python 2263 pip3 install tensorflow==2.6.0 2264 which python 2265 conda activate df_old 2266 which python 2267 python dependable_ai.py 2268 clear 2269 ls 2270 conda activate df 2271 which python 2272 python dependable_ai.py 2273 code . 2274 echo /usr/bin/zsh 2275 du -h gaurav_lasagne_backup 2276 rm -r gaurav_lasagne_backup 2277 ls 2278 exit 2279 conda activate df 2280 ps ax | grep uvicron 2281 ps ax | grep python 2282 ps ax | grep Uvicorn 2283 clear 2284 uvicorn backend:app --reload --host 0.0.0.0 2285 ls 2286 uvicorn backend:app --reload --host 0.0.0.0 2287 ls 2288 htop 2289 clear 2290 uvicorn backend:app --reload --host 0.0.0.0 2291 which python 2292 pip3 install -r requirements.txt 2293 uvicorn backend:app --reload --host 0.0.0.0 2294 pip install passlib 2295 uvicorn backend:app --reload --host 0.0.0.0 2296 pip install "python-jose[cryptography]" 2297 uvicorn backend:app --reload --host 0.0.0.0 2298 clear 2299 nohup uvicorn backend:app --reload --host 0.0.0.0 > run_logs_backend.txt& 2300 ipython 2301 clear 2302 conda activate df 2303 ipython 2304 python 2305 cd /DATA1 2306 ls 2307 du -h . 2308 df -H 2309 cd /DATA1 2310 du -h /DATA1/chiranjeev 2311 ls 2312 cd chiranjeev 2313 ls 2314 ls -l 2315 cd Downloads 2316 ls -l 2317 ls 2318 cd .. 2319 ls 2320 ls -l 2321 ls -l\\n 2322 ls -l 2323 cd .. 2324 ls 2325 du -h /DATA1/chiranjeev 2326 du -h chiranjeev 2327 conda activate df 2328 docker ps 2329 systemctl --user stop docker 2330 docker-compose up -d 2331 conda activate df 2332 pip install pymongo 2333 conda activate df 2334 uvicorn temp_backend:app --reload --host 0.0.0.0 --port 8080 2335 conda activate df 2336 cd Bikash 2337 ls 2338 cd . 2339 ls 2340 cd .. 2341 ls 2342 mkdir svs 2343 cd svs 2344 ls 2345 code . 2346 python -V 2347 python3 -m venv zelta 2348 source zelta/bin/activate 2349 deactivate 2350 source zelta/bin/activate 2351 ls 2352 cd zelta 2353 cd . 2354 cd .. 2355 pip install pandas_ta 2356 pip install pandas 2357 pip install numpy 2358 pip install plotly 2359 pip install yfinance 2360 pip install scikit-learn 2361 pip install --upgrade pip 2362 pip install tensorflow 2363 pip install keras 2364 pip install nohup 2365 nohup python -u lstm.py > run_1.txt 2366 pip install matplotlib 2367 nohup python -u lstm.py > run_2.txt 2368 nohup python -u lstm.py > run_3.txt 2369 nohup python -u lstm.py > run_4.txt 2370 pip install torch 2371 ls 2372 cd . 2373 cd .. 2374 ls 2375 cd .. 2376 ls 2377 cd DATA1 2378 ls 2379 cd svs 2380 ls 2381 code . 2382 source o 2383 source zelta/bin/activate 2384 nvidia-smi 2385 nohup python -u lstm.py > run_5.txt 2386 nohup python -u lstm.py > run_6.txt 2387 nohup python -u lstm.py > run_7.txt 2388 nohup python -u lstm.py > run_8.txt 2389 pip install --upgrade tensorflow 2390 nohup python -u lstm.py > run_9.txt 2391 nohup python -u lstm.py > run_10.txt 2392 python datavisualisation2.py 2393 nohup python -u lstm.py > run_11.txt 2394 nohup python -u datavisualisation2.py > run_12.txt 2395 nohup python -u datavisualisation2.py > run_13.txt 2396 nohup python -u datavisualisation2.py > run_14.txt 2397 nohup python -u datavisualisation2.py > run_15.txt 2398 nohup python -u lstm.py > run_16.txt 2399 nvidia-smi 2400 nohup python -u lstm.py > run_12.txt 2401 nvidia-smi 2402 nohup python -u lstm.py > run_13.txt 2403 pip install --upgrade tensorflow 2404 nvcc --version 2405 ls /usr/lib/x86_64-linux-gnu/libcudnn* 2406 locate libcudnn 2407 source zelta/bin/activate 2408 nohup python -u lstm.py > run_15.txt 2409 source zelta/bin/activate 2410 nohup python -u xgb.py > run.txt 2411 pip install xgboost 2412 pip install datetime 2413 pip install plotly 2414 nohup python -u xgb.py > run1.txt 2415 nohup python -u xgb.py > run2.txt 2416 nohup python -u xgb.py > run3.txt 2417 ssh chiranjeev@10.6.0.20 2418 exit 2419 deactivate 2420 source zelta/bin/activate 2421 nohup python -u xgb.py > run99.txt 2422 nohup python -u xgb.py > run991.txt 2423 nohup python -u xgb.py > run111.txt 2424 nohup python -u har.py > run888.txt 2425 nohup python -u har.py > run777.txt 2426 nohup python -u har.py > run797.txt 2427 nohup python -u har.py > run7997.txt 2428 nohup python -u har.py > runuzair.txt 2429 nohup python -u har.py > rundhyan.txt 2430 nohup python -u lstm.py > running.txt 2431 nohup python -u clt.py > runninglast.txt 2432 ls 2433 docker ps 2434 ip a 2435 ls 2436 whoami 2437 conda activate df 2438 btop 2439 btop --utf-force 2440 uvicorn temp_backend:app --reload --host 0.0.0.0 --port 8080 2441 uvicorn backend:app --reload --host 0.0.0.0 2442 conda activate df 2443 /home/curie/miniconda3/envs/df/bin/python 2444 cd Bikash/ 2445 ls 2446 pwd 2447 crontab -e 2448 btop --utf-force 2449 uvicorn backend:app --reload --host 0.0.0.0 2450 nohup uvicorn backend:app --reload --host 0.0.0.0 > run_logs_backend.txt& 2451 btop --utf-force 2452 echo /usr/bin/zsh 2453 code . 2454 echo /usr/bin/zsh 2455 which python 2456 conda env list 2457 code . 2458 echo /usr/bin/zsh 2459 pip3 install ipykernel 2460 pip3 install diffusers["torch"] 2461 pip3 install "diffusers[torch]" 2462 pip3 install "diffusers" 2463 which python 2464 ^[[200~pip 2465 pip install transformers 2466 pip install transformers matplotlib 2467 cd Fooocus/ 2468 ls 2469 python webui.py 2470 pip install transformers matplotlib gradio 2471 python webui.py 2472 ls 2473 pip install -r requirements_versions.txt 2474 python webui.py 2475 python entry_with_update.py 2476 which python 2477 nvidia-smi 2478 pip3 install Cython\n 2479 pip3 install sympy 2480 cd animal_ds/Animal_Image_Dataset_90_Different_Animals/GroundingDINO 2481 python setup.py build.py\npython setup.py install.py 2482 ls 2483 python setup.py install.py\n\n 2484 python setup.py install 2485 python setup.py build 2486 code . 2487 ^[[200~python entry_with_update.py~ 2488 python entry_with_update.py 2489 ls 2490 cd Fooocus 2491 python entry_with_update.py 2492 nvidia-smi 2493 watch -n 0 nvidia-smi 2494 ps ax | grep python 2495 btop 2496 watch -n 0 nvidia-smi 2497 ps ax | grep python 2498 nvidia-smi 2499 kill -9 12793 2500 nvidia-smi 2501 kill -9 12799 2502 nvidia-smi 2503 clear 2504 ip a 2505 btop 2506 btop --utf-force 2507 ps ax | grep python 2508 nvidia-smi 2509 kill -9 193908 2510 nvidia-smi 2511 conda env list 2512 which python 2513 python3 --version 2514 conda env export > sdxl_env.yml 2515 cd /DATA1 2516 ls 2517 cd bikash_dutta 2518 ls 2519 cd animal_ds 2520 ls 2521 cd Animal_Image_Dataset_90_Different_Animals 2522 ls 2523 cat 'name of the animals.txt' 2524 conda activate df 2525 clear 2526 which python 2527 history | grep uvi 2528 nohup uvicorn backend:app --reload --host 0.0.0.0 > run_logs_backend.txt& 2529 ip a 2530 echo /usr/bin/zsh 2531 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2532 echo /usr/bin/zsh 2533 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2534 echo /usr/bin/zsh 2535 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2536 ps ax | grep python 2537 docker ps 2538 docker-compose down 2539 docker ps 2540 docker system prune 2541 clear 2542 docker-compose up 2543 ps ax | grep python 2544 kill -9 202076 2545 ps ax | grep python 2546 docker-compose up 2547 ps ax | grep python 2548 docker ps 2549 clear 2550 docker ps 2551 docker-compose up 2552 netstat -nlp|grep 8000 2553 kill -9 247909 2554 netstat -nlp|grep 8000 2555 docker-compose up 2556 docker ps 2557 docker-compose up 2558 docker-compose up --build 2559 df -H 2560 df -H / 2561 sudo df -H / 2562 docker system prune 2563 df -H / 2564 docker-compose up 2565 docker-compose down --remove-orphans\n 2566 docker system prune 2567 docker-compose up 2568 docker-compose down --remove-orphans\n 2569 docker-compose up --build 2570 btop --utf-force 2571 docker-compose up --build 2572 sudo df -H / 2573 docker-compose down --remove-orphans\n 2574 clear 2575 cd .. 2576 which python 2577 ls 2578 tar -czvf df_tool.tar.gz DetectionTool_Updated 2579 sudo tar -czvf df_tool.tar.gz DetectionTool_Updated 2580 ls 2581 docker-compose down --remove-orphans\n 2582 ls 2583 clear 2584 cd .. 2585 cd bikash_dutta 2586 mkdir demo_bird_seg 2587 echo /usr/bin/zsh 2588 conda env list 2589 cd content/OneFormer 2590 ls 2591 conda activate df 2592 pip3 install -r requirements.txt 2593 python3 demo.py 2594 cd .. 2595 python3 demo.py 2596 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2597 pip install 'transformers[torch]' 2598 python3 demo.py 2599 echo /usr/bin/zsh 2600 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2601 pip install gradio 2602 cd content/OneFormer 2603 clear 2604 ls 2605 python3 app.py 2606 python app.py 2607 which python 2608 conda activate df 2609 pip install gradio 2610 clear 2611 cd content/OneFormer 2612 ls 2613 python app.py 2614 pip install --upgrade gradio\n 2615 clear 2616 python app.py 2617 python demo_app.py 2618 pip install httpx==0.24.1 2619 clear 2620 python demo_app.py 2621 cd .. 2622 python demo_app.py 2623 clear 2624 python demo_app.py 2625 cd OneFormer 2626 python demo_app.py 2627 cd .. 2628 python demo_app.py 2629 tree .. 2630 tree . 2631 tree . --depth=1 2632 tree . --L 1 2633 tree --L 1 2634 tree --L=1 2635 tree -L 1 2636 tree -L 2 2637 python demo_app.py 2638 pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/index.html\n 2639 ls 2640 cd OneFormer 2641 python demo_app.py 2642 cleer 2643 cd .. 2644 ls 2645 cd OneFormer 2646 clear 2647 python demo_app.py 2648 python pp.py 2649 pip3 install -r requirements.txt install natten -f https://shi-labs.com/natten/wheels/cu113/torch1.10.1/index.html --quiet 2650 cd .. 2651 python temp.py 2652 ls 2653 clear 2654 cd temps 2655 mkdir temps 2656 cd temps 2657 git lfs install\ngit clone https://huggingface.co/spaces/shi-labs/OneFormer 2658 cd temps 2659 ls 2660 cd OneFormer 2661 ls 2662 docker ps 2663 ls 2664 docker build . -t bird-demo 2665 cd / 2666 ls -l 2667 clear 2668 docker build . -t bird-demo 2669 cd 'temps/OneFormer/' 2670 conda create -n bird python=3.8 -y 2671 conda activate bird 2672 pip3 install -r requirements.txt 2673 python -m pip install -U pip 2674 pip3 install -r requirements.txt 2675 ls 2676 docker system prune 2677 pip3 install -r requirements.txt 2678 clear 2679 python gradio_app.py 2680 sh make.sh 2681 sh make 2682 cd oneformer/modeling/pixel_decoder/ops 2683 sh make.sh 2684 cd ../../.. 2685 cd .. 2686 python gradio_app.py 2687 cd /usr/bin\nsudo rm gcc\nsudo rm g++\nsudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++\n\ncd /usr/local/cuda-9.0/bin\nsudo rm gcc\nsudo rm g++\nsudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++ 2688 cd temps/OneFormer 2689 ls 2690 clear 2691 python gradio_app.py 2692 conda activate bird 2693 python gradio_app.py 2694 cd oneformer/modeling/pixel_decoder/ops 2695 sh make.sh 2696 which g++ 2697 sudo apt install gcc 2698 sudo apt install g++ 2699 which g++ 2700 sudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++\n 2701 cd /usr/local/cuda-11.7/bin 2702 cd /usr/local/cuda-11.7 2703 sudo rm gcc\nsudo rm g++\nsudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++ 2704 sudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++ 2705 cd /usr/bin 2706 sudo ln -s /usr/bin/gcc-5 gcc\nsudo ln -s /usr/bin/g++-5 g++ 2707 CUDA_HOST_COMPILER=/usr/bin/gcc-5 python setup.py build develop 2708 cd OneFormer/ 2709 cd .. 2710 cd temps/OneFormer 2711 clear 2712 conda activate bird 2713 python gradio_app.py 2714 cd oneformer/modeling/pixel_decoder/ops 2715 sh make.sh 2716 g++ --version 2717 sudo apt install g++ 2718 reboot 2719 sudo reboot 2720 echo /usr/bin/zsh 2721 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2023.22.1/pythonFiles/deactivate/zsh/envVars.txt 2722 sudo apt install g++ 2723 cd oneformer/modeling/pixel_decoder/ops 2724 sh make.sh 2725 conda activate bird 2726 cd temps/OneFormer 2727 python gradio_app.py 2728 cd oneformer/modeling/pixel_decoder/ops 2729 sh make.sh 2730 which g++ 2731 sudo apt-get install build-essential 2732 apt install gcc-c++ 2733 sudo apt install gcc-c++ 2734 sudo apt install g++ 2735 sudo apt remove g++ 2736 sudo apt install g++ 2737 which g++ 2738 conda activate bird 2739 cd oneformer/modeling/pixel_decoder/ops 2740 cd temps/OneFormer 2741 cd oneformer/modeling/pixel_decoder/ops 2742 sh make.sh 2743 sudo apt reinstall gcc 2744 sh make.sh 2745 docker ps 2746 docker system prune 2747 cd temps/OneFormer 2748 docker build . -t bird-demo 2749 docker system prune -a 2750 clear 2751 cd /D1 2752 cd /DATA1 2753 ls 2754 docker image load --input demo-image.tar 2755 watch -n 0 df -H 2756 btop --utf-force 2757 docker system prune -a 2758 cd /DATA1 2759 docker image load --input demo-image.tar 2760 docker system prune -a 2761 sudo reboot 2762 btop --utf-force 2763 docker system prune -a 2764 clear 2765 echo /usr/bin/zsh 2766 ls 2767 uvicorn backend:app --reload --host 0.0.0.0 2768 conda env list 2769 conda init zsh 2770 which python 2771 which conda 2772 conda 2773 clear 2774 cd ~ 2775 mkdir -p ~/miniconda3\nwget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh\nbash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3\nrm -rf ~/miniconda3/miniconda.sh 2776 ping google.com 2777 python 2778 cd .. 2779 ls 2780 cd Bikash 2781 ls 2782 cp autologin.py ~/Bikash/ 2783 cd ~/Bikash 2784 ls 2785 ping google.com 2786 clear 2787 ls 2788 python autologin.py 2789 python3 autologin.py 2790 ping google.com 2791 mkdir -p ~/miniconda3\nwget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh\nbash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3\nrm -rf ~/miniconda3/miniconda.sh 2792 cd .. 2793 ~/miniconda3/bin/conda init zsh 2794 conda init zsh 2795 pip3 install --upgrade pip 2796 pip3 install packaging 2797 conda init zsh 2798 conda env list 2799 which python3 2800 apt-get remove python3-pip 2801 sudo apt-get remove python3-pip 2802 sudo apt-get install python3-pip 2803 pip3 install packaging 2804 conda env list 2805 conda init zsh 2806 cd /usr/local/lib/python2.7/dist-packages\nmv pkg_resources/ pkg_resources_bak/ 2807 wget https://bootstrap.pypa.io/get-pip.py\nsudo python get-pip.py 2808 wget https://bootstrap.pypa.io/get-pip.py\nsudo python3 get-pip.py 2809 nano ~/.zshrc 2810 python2 2811 python 2812 conda init zsh 2813 rm -r ~/miniconda3/ 2814 rm -rf ~/.condarc ~/.conda ~/.continuum 2815 mkdir -p ~/miniconda3\nwget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh\nbash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3\nrm -rf ~/miniconda3/miniconda.sh 2816 ~/miniconda3/bin/conda init zsh 2817 clear 2818 which python3 2819 which python 2820 clear 2821 conda create -n df python=3.10 -y 2822 conda activate df 2823 pip3 install -r requirements.txt 2824 uvicorn backend:app --reload --host 0.0.0.0 2825 ip a 2826 echo /usr/bin/zsh 2827 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/deactivate/zsh/envVars.txt 2828 clear 2829 which python 2830 which python3 2831 clear 2832 uvicorn backend:app --reload --host 0.0.0.0 2833 clear 2834 uvicorn backend:app --reload --host 0.0.0.0 2835 ls 2836 pip3 install -r requirements.txt 2837 clear 2838 ls 2839 conda deactivate 2840 conda remove -n df --all 2841 conda deactivate 2842 conda remove -n df --all 2843 clear 2844 conda create -n df python=3.10 -y 2845 conda activate df 2846 which python3 2847 pip3 install -r requirements.txt 2848 which python3 2849 uvicorn backend:app --reload --host 0.0.0.0 2850 cd ~ 2851 cd compose 2852 ls 2853 cd mongodb 2854 ls 2855 docker ps 2856 docker compose up -d 2857 clear 2858 uvicorn backend:app --reload --host 0.0.0.0 2859 conda activate df 2860 uvicorn backend:app --reload --host 0.0.0.0 2861 clear 2862 uvicorn backend:app --reload --host 0.0.0.0 2863 clear 2864 uvicorn backend:app --reload --host 0.0.0.0 2865 watch -n 0 nvidia-smi 2866 clear 2867 conda activate df 2868 python dependable_ai.py 2869 pip3 install pyqt5 2870 python dependable_ai.py 2871 echo /usr/bin/zsh 2872 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/deactivate/zsh/envVars.txt 2873 echo /usr/bin/zsh 2874 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.0/pythonFiles/deactivate/zsh/envVars.txt 2875 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2876 conda env list 2877 conda create -n sdxl python=3.10 2878 conda env create -f '/DATA1/bikash_dutta/CS/AML/sdxl_env.yml' 2879 cond env remove sdxl_env 2880 conda remove -n sdxl_env --all 2881 conda env create -f '/DATA1/bikash_dutta/CS/AML/sdxl_env.yml' 2882 conda env list 2883 conda activate sdxl_env 2884 pip3 install torch torchvision 2885 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2886 pip3 install matplotlib 2887 clear 2888 cd animal_ds/GeneratedSDXL-T 2889 clear 2890 ls 2891 python3 data_gen_xlt.py 2892 watch -n 0 nvidia-smi 2893 clear 2894 python3 data_gen_xlt.py 2895 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2896 python3 data_gen_xlt.py 2897 cd animal_ds/GeneratedSDXL-T 2898 nohup python3 -u data_gen_xl.py > data_gen_runlogs.txt &\n 2899 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2900 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2901 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2902 which python3 2903 conda activate sdxl_env 2904 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2905 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2906 python3 -u data_gen_xlt.py 2907 ls 2908 cd animal_ds/GeneratedSDXL-T 2909 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2910 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2911 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2912 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2913 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2914 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2915 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2916 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2917 watch -n 0 nvidia-smi 2918 nohup python3 -u data_gen_dream_xlv2.py > data_gen_runlogs.txt &\n 2919 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt &\n 2920 cd animal_ds/GeneratedSDXL-T 2921 clear 2922 ls 2923 which python3 2924 conda activate sdxl_env 2925 clear 2926 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt &\n 2927 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2928 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2929 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2930 conda env list 2931 which python3 2932 conda activate sdxl_env 2933 clear 2934 ls 2935 cd animal_ds/GeneratedSDXL-T 2936 clear 2937 ls 2938 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 2939 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2940 watch -n 0 nvidia-smi 2941 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 2942 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2943 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2944 ls 2945 cd animal_ds/GeneratedSDXL-T 2946 cleara 2947 clear 2948 conda activate sdxl_env 2949 clear 2950 ls 2951 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2952 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2953 kill -9 1435599 2954 clar 2955 clear 2956 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2957 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2958 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2959 kill -9 1436308 2960 clear 2961 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2962 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2963 watch -n 0 nvidia-smi 2964 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 2965 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2966 kill -9 1470488] 2967 kill -9 1470488 2968 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2969 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2970 kill -9 1474930 2971 kill -9 1474529 2972 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2973 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2974 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 2975 kill -9 1477713 2976 clear 2977 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 2978 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2979 kill -9 1563012 2980 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 2981 watch -n 0.25 tail -c 512 data_gen_dream_runlogs.txt 2982 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 2983 watch -n 0.25 tail -c 512 data_gen_runlogs.txt 2984 sudo apt-get install -y python3-opencv 2985 which python3 2986 pip install PytorchWildlife 2987 conda create -n pytorch-wildlife python=3.8 -y 2988 conda activate pytorch-wildlife 2989 pip install PytorchWildlife 2990 pip install ipykernel jupyter 2991 conda activate sdxl_env 2992 pip install ipykernel jupyter 2993 btop 2994 btop --utf-force 2995 which python3 2996 pip install \\n --extra-index-url=https://pypi.nvidia.com \\n cudf-cu12==23.12.* dask-cudf-cu12==23.12.* cuml-cu12==23.12.* \\n cugraph-cu12==23.12.* cuspatial-cu12==23.12.* cuproj-cu12==23.12.* \\n cuxfilter-cu12==23.12.* cucim-cu12==23.12.* pylibraft-cu12==23.12.* \\n raft-dask-cu12==23.12.* 2997 conda activate sdxl_env 2998 conda create --solver=libmamba -n rapids-23.12 -c rapidsai -c conda-forge -c nvidia \\n rapids=23.12 python=3.10 cuda-version=12.0 2999 conda env list 3000 conda activate rapids-23.12 3001 pip install ipykernel jupyter 3002 ps ax | grep python 3003 kill -9 1889967 3004 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3005 cd DetectionTool_Updated 3006 cd /DATA1/bikash_dutta 3007 cdlear 3008 clear 3009 cd DetectionTool_Updated 3010 clear 3011 clea 3012 rclear 3013 clear 3014 ls 3015 uvicorn backend:app --reload --host 0.0.0.0 3016 conda env list 3017 conda activate df 3018 clear 3019 uvicorn backend:app --reload --host 0.0.0.0 3020 ip a 3021 a 3022 ;s 3023 ls 3024 cd /DATA1/bikash_dutta 3025 cd DetectionTool_Updated 3026 clear 3027 ls 3028 uvicorn backend:app --reload --host 0.0.0.0 3029 conda activate df 3030 uvicorn backend:app --reload --host 0.0.0.0 3031 conda activate df 3032 python3 dependable_ai.py 3033 conda create -n df_old python=3.6 -y 3034 conda activate df_old\n 3035 pip3 install -r requirements_back.txt 3036 python3 dependable_ai.py 3037 df -h 3038 ifconfig | grep 10.6. 3039 scp archive.zip kartik@10.6.0.21:/raid/home/kartik/DU/ 3040 exit 3041 clear 3042 fdisk -l 3043 sudo fdisk -l 3044 clear 3045 sudo mount /sdc1 /mnt/curie/USB 3046 sudo mount /sdc1 /mnt/curie/ 3047 sudo mount /sdc1 /mnt 3048 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3049 conda env list 3050 conda activate pytorch-wildlife 3051 clear 3052 conda activate pytorch-wildlife 3053 ifconfig | grep 10.6. 3054 cd Downloads 3055 ls 3056 cd /DATA1 3057 ls 3058 cd Downloads 3059 ls 3060 cd ../bikash_dutta 3061 ls 3062 cd ../Downloads 3063 ls 3064 scp archive.zip kartik@10.6.0.21:/raid/home/kartik/DU/ 3065 ls 3066 rm archive.zip 3067 exit 3068 conda activate pytorch-wildlife 3069 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3070 cd animal_ds/GeneratedSDXL-T 3071 ls 3072 clear 3073 python3 detect_and_segement.py 3074 nvidia-smi 3075 python3 detect_and_segement.py 3076 code . 3077 python ~/Bikash/autologin.py 3078 sudo python ~/Bikash/autologin.py 3079 sudo python3 ~/Bikash/autologin.py 3080 python ~/Bikash/autologin.py 3081 ip a] 3082 ip a 3083 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3084 nvidia-smi 3085 watch -n 0 nvidia-smi 3086 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3087 kill -9 236033 3088 watch -n 0 nvidia-smi 3089 cd ~ 3090 sudo apt update && sudo apt -y install git g++ cmake make qtdeclarative5-dev 3091 builtin cd -- venv/trial/lib/python3.6/site-packages/scikit_learn.libs 3092 clear 3093 dpkg -i rclone-v1.65.2-linux-amd64.deb 3094 sudo dpkg -i rclone-v1.65.2-linux-amd64.deb 3095 rclone init 3096 rclone --help 3097 rclone 3098 rclone authorize 3099 rclone authorize --auth-no-open-browser 3100 clear 3101 rclone config 3102 btop 3103 watch -n 0 nvidia-smi 3104 ip a 3105 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3106 cd Encoder 3107 conda activate sdxl_env 3108 python3 create_points_data.py 3109 python3 dataset.py 3110 pip3 install Pyarrow 3111 clear 3112 python3 dataset.py 3113 clear 3114 python3 train.py 3115 clear 3116 python3 train.py 3117 clear 3118 python3 train.py 3119 clear 3120 python3 predictions.py 3121 python3 preds.py 3122 clear 3123 python3 sdv2.py 3124 clear 3125 python3 sdv2.py 3126 clear 3127 python3 sdv2.py 3128 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3129 watch -n 0 nvidia-smi 3130 cd animal_ds/GeneratedSDXL-T 3131 ls 3132 cd results_10_steps_lykon 3133 ls -1 3134 ls -1 | wc -l 3135 ls -2 | wc -l 3136 ls -1 | wc -l 3137 ls -1 "*/*" | wc -l 3138 ls -1 */* | wc -l 3139 ls -1 * | wc -l 3140 ls -1 * 3141 ls -1 */* 3142 clear 3143 ls -1 */* | wc -l 3144 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 3145 cd .. 3146 ls 3147 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 3148 conda activate sdxl_env 3149 clear 3150 nohup python3 -u data_gen_dream_xlv2.py > data_gen_dream_runlogs.txt & 3151 clear 3152 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 3153 kill -9 2357824 3154 ps ax | grep python 3155 nohup python3 -u data_gen_xlt.py > data_gen_runlogs.txt &\n 3156 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.0.1/pythonFiles/deactivate/zsh/envVars.txt 3157 anydesk --get-id 3158 anydesk 3159 anydesk --get-id 3160 anydesk 3161 anydesk --get-id 3162 anydesk 3163 anydesk --get-id 3164 systemctl --user start anydesk 3165 sudo systemctl status anydesk 3166 sudo systemctl start anydesk 3167 anydesk --get-id 3168 cd /DATA1/bikash_dutta/animal_ds 3169 ls 3170 cd MOCA/MoCA/Masks 3171 ls -1 */* | wc -l 3172 cd .. 3173 ls 3174 cd .. 3175 ls 3176 cd Animal_Image_Dataset_90_Different_Animals/animals/animals/ 3177 ls -1 */* | wc -l 3178 cd ../../.. 3179 cd GeneratedSDXL-T 3180 cd results_500_steps/ 3181 ls -1 */* | wc -l 3182 ls 3183 cd .. 3184 ls 3185 clear 3186 ls 3187 ls -1 */* | wc -l 3188 cd results_500_steps/ 3189 ls -1 */* | wc -l 3190 cd .. 3191 cd results_10_steps_lykon 3192 ls -1 */* | wc -l 3193 cd ../.. 3194 ls 3195 cd Animal_Image_Dataset_90_Different_Animals/animals/animals/ 3196 ls 3197 ls -1 */* | wc -l 3198 cd ../.. 3199 ls 3200 cd ../.. 3201 ls 3202 cd animal 3203 cd animal_ds 3204 clear 3205 ls 3206 cd MOCA/MoCA/Masks 3207 ls -1 */* | wc -l 3208 cd ../../.. 3209 cd GeneratedSDXL-T/results_10_steps_lykon 3210 ls -1 */* | wc -l 3211 cd ../.. 3212 cd Animal_Image_Dataset_90_Different_Animals/animals/animals/ 3213 ls -1 */* | wc -l 3214 tmux ls 3215 tmux a -t Bird-Former 3216 ls 3217 cd Desktop 3218 ls 3219 cd Kshitiz 3220 ls 3221 cd .. 3222 l 3223 scd .. 3224 clear 3225 ls 3226 cd .. 3227 ls 3228 cd Downloads 3229 ls 3230 cd .. 3231 ls 3232 cd Documents 3233 ls 3234 cd .. 3235 cd ezsh 3236 ls 3237 cd .. 3238 clear 3239 last 3240 ls 3241 cd .. 3242 ls 3243 cd curie 3244 ls 3245 ^[[200~cat /home/username/.bash_history 3246 ~ 3247 ls 3248 cd Desktop 3249 pwd 3250 cat /home/curie/.bash_history >/home/curie/Desktop/Logs.txt 3251 cd Desktop 3252 ls 3253 cd /home/curie/Desktop 3254 ls 3255 grep "tmux" /home/curie/Desktop/Logs.txt 3256 cd kshitiz/exp_data 3257 l 3258 clear 3259 cd kshitiz/exp_data/sshreshtha/BirdFormer/code\n 3260 ifconfig | grep 10.6. 3261 clear 3262 ls 3263 cd /kshitiz 3264 ls 3265 find / -type d -name "sshreshtha" 2>/dev/null 3266 cd /DATA1 3267 ls 3268 cd kshitiz 3269 ks 3270 ls 3271 cd exp_data 3272 ls 3273 cd ssh 3274 cd .. 3275 cd assignment 3276 cd .. 3277 ls 3278 cd sshreshtha 3279 ls 3280 cd .. 3281 du -h sshreshtha 3282 ls 3283 ssh kshitiz@10.6.0.38 3284 cd sshreshtha 3285 ls 3286 clear 3287 curie 3288 ls 3289 tmux 3290 tmux ls 3291 tmux new -s bird_data_transfer 3292 ls 3293 cd .. 3294 ls 3295 scp -r ./sshreshtha kshitiz@10.6.0.38:/home/kshitiz/march_transfer\n 3296 tmux ls 3297 tmux a -t bird_data_transfer 3298 ssh kshitiz@10.6.0.38 3299 ls 3300 clear 3301 screen -ls 3302 sudo apt install screen 3303 screen -ls 3304 screen -S transfer 3305 screen -ls 3306 screen -r transfer 3307 sudo apt update 3308 screen -r transfer 3309 ssh kshitiz@10.6.0.20 3310 ssh kartik@10.6.0.20 3311 ssh kartik@10.6.0.21 3312 screen -r transfer 3313 ssh chiranjeev@10.6.0.20 3314 chiranjeev 3315 clear 3316 ssh chiranjeev@10.6.0.20 3317 ssh caffe-station-1@10.6.0.20 3318 screen -r transfer 3319 ssh kshitiz@10.6.0.20 3320 ssh kshitiz@10.6.0.38 3321 clear 3322 ssh kshitiz@10.6.0.20 3323 tmux 3324 tmux a -t bird_data_transfer 3325 sudo apt update; sudo apt upgrade -y 3326 pwd 3327 cd /DAta1 3328 cd /DATA1 3329 ls 3330 cd Kartik 3331 ls 3332 cd ArtGuru 3333 ls | wc -l 3334 ls 3335 nvidia-smi 3336 rm -r cuda-repo-ubuntu2204-11-7-local_11.7.0-515.43.04-1_amd64.deb 3337 ;s 3338 ls 3339 cd /DATA1 3340 ls 3341 btop 3342 btop --utf-force 3343 ls | wc -l 3344 clear 3345 ifconfig| grep 10.6 3346 nvidia-smi 3347 clear 3348 python /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3349 ls 3350 conda info 3351 conda create -n kshcode python=3.8 3352 conda activate kshcode 3353 ls 3354 cd Desktop 3355 ls 3356 cd kshitizcode 3357 ls 3358 clear 3359 pip install jupyterlab 3360 jupyter lab 3361 clear 3362 conda activate kshcode 3363 pip install jupyterlab 3364 ls 3365 python /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3366 conda activate kshcode 3367 pip install pandas 3368 cd kshitizcode 3369 ls 3370 run code.ipynb 3371 jupyter lab 3372 watch nvidia-smi 3373 clear 3374 python 3375 pip install tensorflow==2.13.* 3376 pip install tensorflow 3377 python 3378 pip uninstall tensorflow 3379 cd kshitizcode 3380 ls 3381 cd Desktop/kshitizcode 3382 conda activate kshcode 3383 nvcc --version 3384 ls /usr/local/cuda/include/cudnn*.h\n 3385 ls /usr/local/cuda/include/cudnn*.h 3386 ls /usr/local/cuda/lib64/libcudnn* 3387 \n 3388 ls /usr/local/cuda/lib64/libcudnn* 3389 python3 -m venv tf-gpu-env 3390 source tf-gpu-env/bin/activate 3391 pip install tensorflow-gpu 3392 conda install anaconda::tensorflow-gpu\n 3393 python3 -m pip install tensorflow[and-cuda]\n# Verify the installation:\npython3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" 3394 conda install tensorflow-gpu 3395 pip install tensorflow==2.10.0 3396 git clone https://github.com/tensorflow/tensorflow.git 3397 ping 3398 ping google.com 3399 cd Desktop/kshitizcode 3400 conda create --name tfgpu python=3.10 3401 conda activate tfgpu 3402 clear 3403 ls 3404 conda activate tfgpu 3405 conda install tensorflow 3406 ls 3407 du -sh 3408 cd .. 3409 du -sh 3410 du -h 3411 df -h 3412 cd /DATA1 3413 ls 3414 cd kshitiz 3415 ls 3416 mkdir expm1 3417 cd expm1 3418 clear 3419 conda create --name tfg1 3420 conda activate tfg1 3421 conda install tensorflow 3422 clear 3423 python /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3424 python 3425 pip install numpy 3426 python 3427 which python3 3428 conda env list 3429 conda create -n sp python=3.8 -y 3430 conda activate sp 3431 cd SP 3432 ls 3433 clear 3434 cd 3435 cd SP/A2 3436 git clone https://github.com/microsoft/UniSpeech.git 3437 cd UniSpeech/downstreams 3438 ls 3439 cd speaker_verification 3440 ls 3441 pip install --require-hashes -r requirements.txt\n 3442 git clone https://github.com/pytorch/fairseq\ncd fairseq\npip install --editable ./\n\n# on MacOS:\n# CFLAGS="-stdlib=libc++" pip install --editable ./\n\n# to install the latest stable release (0.10.x)\n# pip install fairseq 3443 which python3 3444 conda activate sp 3445 pip install --require-hashes -r requirements.txt\n 3446 git clone https://github.com/pytorch/fairseq\ncd fairseq\npip install --editable ./\n\n# on MacOS:\n# CFLAGS="-stdlib=libc++" pip install --editable ./\n\n# to install the latest stable release (0.10.x)\n# pip install fairseq 3447 cd ../.. 3448 ls 3449 rm -rf fairseq 3450 clear 3451 pip install --require-hashes -r requirements.txt\n 3452 git clone https://github.com/pytorch/fairseq\ncd fairseq\npip install --editable ./\n\n# on MacOS:\n# CFLAGS="-stdlib=libc++" pip install --editable ./\n\n# to install the latest stable release (0.10.x)\n# pip install fairseq 3453 rm -rf fairseq 3454 cd .. 3455 ls 3456 clear 3457 10.6.0.286:8096 3458 rm -rf fairseq 3459 git clone https://github.com/pytorch/fairseq\ncd fairseq\npip install --editable ./\n\n# on MacOS:\n# CFLAGS="-stdlib=libc++" pip install --editable ./\n\n# to install the latest stable release (0.10.x)\n# pip install fairseq 3460 pip install fairseq 3461 clear 3462 cd downstreams/speaker_verification 3463 pip3 install -r requirements.txt 3464 clear 3465 cd ../.. 3466 clear 3467 ls 3468 wget "https://mm.kaist.ac.kr/datasets/voxceleb/data/vox1_dev_txt.zip" 3469 wget "https://mm.kaist.ac.kr/datasets/voxceleb/data/vox1_dev_txt.zip" --no-check-certificate 3470 cd SP/A2 3471 cd UniSpeech 3472 wget "https://mm.kaist.ac.kr/datasets/voxceleb/data/vox1_test_txt.zip" --no-check-certificate 3473 wget "https://mm.kaist.ac.kr/datasets/voxceleb/data/vox1_dev_txt.zip" --no-check-certificate 3474 ls 3475 clear 3476 unzip vox1_dev_txt.zip 3477 ls 3478 unzip vox1_test_txt.zip 3479 clear 3480 rm -rf txt 3481 clear 3482 wget "https://valle.blob.core.windows.net/share/wavlm/sv_fix/wavlm_large_nofinetune.pth\?sv\=2020-08-04\&st\=2023-03-01T07%3A51%3A05Z\&se\=2033-03-02T07%3A51%3A00Z\&sr\=c\&sp\=rl\&sig\=QJXmSJG9DbMKf48UDIU1MfzIro8HQOf3sqlNXiflY1I%3D" 3483 curl -l "https://valle.blob.core.windows.net/share/wavlm/sv_fix/wavlm_large_nofinetune.pth\?sv\=2020-08-04\&st\=2023-03-01T07%3A51%3A05Z\&se\=2033-03-02T07%3A51%3A00Z\&sr\=c\&sp\=rl\&sig\=QJXmSJG9DbMKf48UDIU1MfzIro8HQOf3sqlNXiflY1I%3D" 3484 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3485 clear 3486 wget "https://mm.kaist.ac.kr/datasets/voxceleb/meta/list_test_hard.txt" 3487 wget "https://mm.kaist.ac.kr/datasets/voxceleb/meta/list_test_hard.txt" --no-check-certificate 3488 clear 3489 unzip vox1_test_txt.zip -d data/test 3490 unzip vox1_test_txt.zip -d data/test/txt 3491 unzip vox1_test_txt.zip 3492 unzip vox1_dev_txt.zip -d data/VoxCeleb/dev 3493 cd data 3494 clear 3495 ls 3496 cd VoxCeleb 3497 ls 3498 clear 3499 cd dev 3500 ls 3501 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3502 curl -l "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3503 clear 3504 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3505 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" -O vox1_devA 3506 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" -O vox1_dev_wav_partaa 3507 clear 3508 curl -l "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3509 curl -o "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3510 curl -O "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" 3511 curl "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" -o vox1_dev_wav_partaa 3512 curl "https://cn01.mmai.io/download/voxceleb\file\=vox1_dev_wav_partaa" -o vox1_dev_wav_partaa 3513 cd .. 3514 clear 3515 ls 3516 curl -H "user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36" https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa 3517 curl -H "user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36" https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa -O vox1_dev_wav_partaa 3518 curl -H "user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36" "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_dev_wav_partaa" -O vox1_dev_wav_partaa 3519 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_test_wav.zip" 3520 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3521 cat vox1_dev* > vox1_dev_wav.zip 3522 unzip vox1_dev_wav.zip 3523 cleer 3524 clear 3525 ls 3526 wget "https://mm.kaist.ac.kr/datasets/voxceleb/meta/list_test_hard.txt" --no-check-certificate 3527 sudo apt-get install sox 3528 which python3 3529 pip install sox 3530 pip3 install tensorboard 3531 clear 3532 which python3 3533 pip install fairseq\npip install setuptools==59.5.0\n 3534 clear 3535 python3 -m pip install setuptools==59.5.0\n\n 3536 clear 3537 pip3 install speechbrain 3538 pip3 install speechbrain resampy 3539 pip install sed_eval\n 3540 clear 3541 pip install more-itertools 3542 pip install utility-helper\n 3543 pip install s3prl\n 3544 clear 3545 cat /home/curie/.cache/torch/hub/s3prl_s3prl_master/hubconf.py 3546 which python3 3547 pip install s3prl[all]\n 3548 pip install "s3prl[all]" 3549 pip install ".[dev]" 3550 cd .. 3551 clear 3552 ls 3553 git clone https://github.com/s3prl/s3prl.git\ncd s3prl\npip install -e . 3554 pip --force-reinstall omegaconf==2.0 3555 pip -i omegaconf==2.0 3556 pip -I omegaconf==2.0 3557 pip omegaconf==2.0 --force-reinstall 3558 pip install omegaconf==2.0 --force-reinstall 3559 pip install antlr4-python3-runtime==4.8 --force-reinstall 3560 pip install omegaconf==2.0 --force-reinstall 3561 pip uninstall hydra-core s3prl 3562 pip install omegaconf==2.0 --force-reinstall 3563 pip uninstall hydra-core s3prl fairseq 3564 pip install omegaconf==2.0 --force-reinstall 3565 pip install -e . 3566 pip install fairseq 3567 pip uninstall hydra-core s3prl fairseq 3568 pip install -e . 3569 pip install fairseq --no-deps 3570 pip install setuptools==59.5.0 3571 pip install hydra --no-deps 3572 pip install hydra-core --no-deps 3573 pip3 install torch torchaudio 3574 pip3 install torch torchvision torchaudio\n 3575 nvidia-smi 3576 pip3 remove torch torchvision torchaudio\n 3577 pip3 uninstall torch torchvision torchaudio\n 3578 pip3 install torchaudio==0.9.0 3579 pip install --force-reinstall torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/ --no-deps\n 3580 pip uninstall --force-reinstall torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/ --no-deps\n 3581 pip uninstall --force-reinstall torch==1.9.0 --extra-index-url https://download.pytorch.org/whl/ --no-deps\n 3582 pip install --force-reinstall torch==1.9.0 --extra-index-url https://download.pytorch.org/whl/ --no-deps\n 3583 pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html --no-deps --force-reinstall 3584 cd .. 3585 ls 3586 cd data 3587 ls 3588 cd VoxCeleb 3589 ls 3590 cd test 3591 ;s 3592 ls 3593 cd vox1_test_wav 3594 ls 3595 mv wav/* ../../wav/ls 3596 ls 3597 cd ../.. 3598 ls 3599 cd .. 3600 ls 3601 wget "https://indic-asr-public.objectstore.e2enetworks.net/indic-superb/kathbath/clean/testkn_audio.tar" 3602 tar -xvf testkn_audio.tar 3603 clear 3604 ssh mars@10.6.0.236 3605 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3606 clear 3607 which python3 3608 conda activate sp 3609 pip install ffprobe\n 3610 pip install pydub\n 3611 pip3 install tqdm 3612 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3613 conda activate sp 3614 clear 3615 cd SP/A2 3616 ls 3617 cd UniSpeech/data 3618 ls 3619 unzip meta_data.zip 3620 watch -n 0 nvidia-smi 3621 cd .. 3622 cd downstreams/speaker_verification 3623 ls 3624 cler 3625 clear 3626 nohup python3 -u make_csv.py > make_csv_run_logs.log & 3627 watch -n 0 nvidia-smi 3628 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3629 which python3 3630 which python 3631 clear 3632 conda activate sp 3633 pip install ipywidgets 3634 ps ax | grep python 3635 kill -9 1208034 3636 clear 3637 nohup python3 -u make_csv.py > make_csv_run_logs.log & 3638 clear 3639 cd downstreams/speaker_verification 3640 cd SP/A2 3641 cd downstreams/speaker_verification 3642 cd UniSpeech/ 3643 cd downstreams/speaker_verification 3644 clear 3645 python make_csv_hindi.py 3646 clear 3647 nohup python3 -u make_csv_hindi.py > make_csv_hindi_run_logs.log & 3648 clear 3649 watch -n 0 nvidia-smi 3650 nohup python3 -u make_csv.py > make_csv_run_logs.log & 3651 watch -n 0 nvidia-smi 3652 cd SP/A2 3653 wget "https://www.openslr.org/resources/12/test-clean.tar.gz" 3654 tar -xvf test-clean.tar.gz 3655 git clone https://github.com/JorisCos/LibriMix.git 3656 conda create -n librimix python=3.8 -y 3657 conda activate librimix 3658 cd Libri 3659 cd LibriMix 3660 ls 3661 pip3 install -r requirements.txt 3662 clear 3663 ls 3664 bash generate_librimix.sh 3665 ls 3666 chmod +x generate_librimix.sh 3667 ls 3668 ./generate_librimix.sh 3669 clear 3670 watch -n 0 nvidia-smi 3671 btop --utf-force 3672 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3673 clear 3674 conda activate librimix 3675 cd SP/A2 3676 cd LibriMix 3677 ls 3678 ./generate_librimix.sh 3679 ckear 3680 clear 3681 ckear 3682 ./generate_librimix.sh 3683 watch -n 0 nvidia-smi 3684 ps ax | grep python 3685 kill -9 1213635 3686 clear 3687 ps ax | grep python 3688 clear 3689 watch -n 0 nvidia-smi 3690 which python 3691 which python3 3692 conda activate sp 3693 clear 3694 cd SP/A2 3695 cd UniSpeech/downstreams/speaker_verification 3696 ls 3697 clear 3698 python make_csv_hindi.py 3699 clear 3700 python make_csv.py 3701 clear 3702 python make_csv.py 3703 clear 3704 python make_csv.py 3705 clear 3706 python make_csv.py 3707 clear 3708 python make_csv.py 3709 clear 3710 python make_csv.py 3711 clear 3712 python make_csv.py 3713 clear 3714 python make_csv.py 3715 clear 3716 python make_csv.py 3717 clear 3718 python make_csv.py 3719 clear 3720 python make_csv.py 3721 clear 3722 python make_csv.py 3723 clear 3724 python make_csv.py 3725 clear 3726 python make_csv.py 3727 ckear 3728 clear 3729 python make_csv.py 3730 clear 3731 python make_csv.py 3732 clear 3733 python make_csv.py 3734 clear 3735 python make_csv.py 3736 clear 3737 python make_csv.py 3738 clear 3739 python make_csv.py 3740 clear 3741 python make_csv.py 3742 clear 3743 python make_csv.py 3744 clear 3745 python make_csv.py 3746 clear 3747 python make_csv.py 3748 clear 3749 python make_csv.py 3750 clear 3751 python make_csv.py 3752 clear 3753 nohup python3 -u make_csv.py > make_csv_run_logs.log & 3754 watch -n 0.25 tail -c 512 make_csv_run_logs.log 3755 watch -n 0 nvidia-smi 3756 watch -n 0.25 tail -c 1024 make_csv_run_logs.log 3757 watch -n 0.25 tail -c 2048 make_csv_run_logs.log 3758 ls 3759 pwd 3760 cd .. 3761 ls 3762 clear 3763 ls 3764 rm -rf test-clean.tar.gz 3765 ls 3766 clear 3767 git clone https://github.com/speechbrain/speechbrain/\n 3768 ls 3769 cd speechbrain 3770 ls 3771 cd recipes/WHAMandWHAMR/separation 3772 ls 3773 pwd 3774 which python3 3775 pip install -r ../extra_requirements.txt 3776 python train.py hyperparams/sepformer.yaml --data_folder /DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix/wav16k/max --test_only 3777 pip3 install torchaudio 3778 python train.py hyperparams/sepformer.yaml --data_folder /DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix/wav16k/max --test_only 3779 pip3 install speechbrain 3780 python train.py hyperparams/sepformer.yaml --data_folder /DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix/wav16k/max --test_only 3781 ls 3782 cd .. 3783 ls 3784 cd .. 3785 ls 3786 cd WSJ0Mix 3787 ls 3788 clear 3789 cd separation 3790 ls 3791 python train.py hyperparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix/wav16k/max" --test_only 3792 python train.py /DATA1/bikash_dutta/CS/SP/A2/speechbrain/recipes/WSJ0Mix/separation/hparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix/wav16k/max" --test_only 3793 cd /DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix 3794 ls 3795 tree . 3796 tree . --L 2 3797 tree . -L 2 3798 tree . -L 3 3799 tree . -L 4 3800 ls 3801 cd.. 3802 cd .. 3803 ls 3804 touch conv_to_wsj0.py 3805 clear 3806 python3 conv_to_wsj0.py 3807 clear 3808 python3 conv_to_wsj0.py 3809 clear 3810 cd .. 3811 ls 3812 cd recipes/WHAMandWHAMR/separation 3813 cd speechbrain 3814 cd recipes/WHAMandWHAMR/separation 3815 cd .. 3816 ls 3817 cd WSJ0Mix 3818 ls 3819 cd separation 3820 ls 3821 python train.py /DATA1/bikash_dutta/CS/SP/A2/speechbrain/recipes/WSJ0Mix/separation/hparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/wsj0-2mix" --test_only 3822 cd /DATA1/bikash_dutta/CS/SP/A2/LibriMix/Libri2Mix 3823 clear 3824 ls 3825 conda activate sp 3826 clear 3827 conda activate librimix 3828 ls 3829 clear 3830 cd .. 3831 ls 3832 rm -rf wsj0-2mix 3833 python3 conv_to_wsj0.py 3834 ls 3835 clear 3836 python3 conv_to_wsj0.py 3837 clear 3838 python3 conv_to_wsj0.py 3839 clear 3840 python train.py /DATA1/bikash_dutta/CS/SP/A2/speechbrain/recipes/WSJ0Mix/separation/hparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/wsj0-2mix" --test_only 3841 python train.py /DATA1/bikash_dutta/CS/SP/A2/speechbrain/recipes/WSJ0Mix/separation/hparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/wsj0-2speakers" --test_only 3842 python3 conv_to_wsj0.py 3843 clear 3844 python3 conv_to_wsj0.py 3845 python train.py /DATA1/bikash_dutta/CS/SP/A2/speechbrain/recipes/WSJ0Mix/separation/hparams/sepformer.yaml --data_folder "/DATA1/bikash_dutta/CS/SP/A2/LibriMix/wsj0-2mix" --test_only 3846 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3847 cd SP/A2 3848 code . 3849 watch -n 0 nvidia-smi 3850 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3851 kill -9 1212459 3852 clear 3853 cd SP/A2/UniSpeech/downstreams/speaker_verification 3854 clear 3855 ls 3856 nohup python3 -u make_csv_hindi.py > make_csv_hindi_run_logs.log & 3857 watch -n 0 nvidia-smi 3858 conda activate sp 3859 nohup python3 -u make_csv_hindi.py > make_csv_hindi_run_logs.log & 3860 watch -n 0 nvidia-smi 3861 clear 3862 nohup python3 -u make_csv_hindi.py > make_csv_hindi_run_logs.log & 3863 watch -n 0 nvidia-smi 3864 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3865 cd /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data 3866 ls 3867 wget https://indic-asr-public.objectstore.e2enetworks.net/indic-superb/kathbath/clean/valid_audio.tar 3868 ls 3869 tar -xvf valid_audio.tar 3870 btop --utf-force 3871 watch -n 0 nvidia-smi 3872 pip3 install wandb 3873 which python3 3874 conda activate sp 3875 clear 3876 watch -n 0 nvidia-smi 3877 cd /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/downstreams/speaker_verification 3878 ls 3879 conda activate sp 3880 clear 3881 python -u fine-tune-wavelm-base-plus.py 3882 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3883 watch -n 0 nvidia-smi 3884 kill -9 95351 3885 clear 3886 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3887 kill -9 103942 3888 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3889 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3890 watch -n 0 nvidia-smi 3891 kill -9 106681 3892 clear 3893 ip a 3894 clear 3895 conda activate sp 3896 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3897 cd /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/downstreams/speaker_verification 3898 clear 3899 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3900 watch -n 0 nvidia-smi 3901 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3902 watch -n 0 nvidia-smi 3903 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3904 kill -9 1507747 3905 watch -n 0 nvidia-smi 3906 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 3907 watch -n 0 nvidia-smi 3908 cd /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/downstreams/speaker_verification 3909 watch -n 0.25 tail -c 2048 finetunning_runlogs.log 3910 clear 3911 ls 3912 cd /DATA1/bikash_dutta 3913 ls 3914 cd Bikash 3915 ls 3916 cd .. 3917 ls 3918 tree . | grep extra 3919 find extract.py 3920 ls 3921 clear 3922 python /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3923 cd /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data 3924 clear 3925 ls 3926 python make_vox_subset.py 3927 clear 3928 python make_vox_subset.py 3929 clear 3930 python make_vox_subset.py 3931 clear 3932 python make_vox_subset.py 3933 clear 3934 python make_vox_subset.py 3935 clear 3936 python make_vox_subset.py 3937 tar --help 3938 tar -czvf VoxCeleb1_subset 3939 tar -czvf --directory=VoxCeleb1_subset VoxCeleb1_subset.tar.gz 3940 tar -czvf VoxCeleb1_subset.tar.gz VoxCeleb1_subset 3941 clear 3942 python make_vox_subset.py 3943 clear 3944 python make_vox_subset.py 3945 clear 3946 ls 3947 rm -rf VoxCeleb1_subset 3948 python make_vox_subset.py 3949 clear 3950 python make_vox_subset.py 3951 clear 3952 python make_vox_subset.py 3953 clear 3954 python make_vox_subset.py 3955 clear 3956 python make_vox_subset.py 3957 clear 3958 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 3959 clear 3960 python make_vox_subset.py 3961 ls 3962 sudo rm -rf usb_extra 3963 ls 3964 sudo rm -rf curie 3965 ls 3966 unzip vox1_dev_wav.zip -d "bikash_dutta/CS/SP/A2/UniSpeech/data/" 3967 ls 3968 wget "https://cn01.mmai.io/download/voxceleb\?key\=8978316fe80e7aac4ad6ad92eb32baeac73533203577d79b32b605be0c82bd85ff6f7136043fe62321e81ab74c77f19308ea3cfaf0c192dceffa0866dd68eba55f573b963342ab0a19d0b7819e1e393e46b57f5f61f980e21ae19ffa7366963b8bad9b4cf827a9e480c64e52afbaed4844ec3539f8a3e80b43764c9199b3ec94\&file\=vox1_test_wav.zip" -O "vox1_test_wav.zip" 3969 wget "https://thor.robots.ox.ac.uk/\~vgg/data/voxceleb/vox1a/vox1_test_wav.zip" 3970 ls 3971 mkdir VoxCeleb 3972 mkdir -p VoxCeleb/dev 3973 mv wav VoxCeleb/dev 3974 mkdir -p VoxCeleb/test 3975 cd VoxCeleb 3976 ls 3977 wget "https://mm.kaist.ac.kr/datasets/voxceleb/meta/list_test_hard.txt" --no-check-certificate 3978 unzip vox1_test_wav.zip -d "bikash_dutta/CS/SP/A2/UniSpeech/data/VoxCeleb/" 3979 clear 3980 cd .. 3981 ls 3982 clear 3983 tree . -L 3 3984 celar 3985 clear 3986 python make_vox_subset.py 3987 clear 3988 ls 3989 rm -r VoxCeleb1_subset 3990 clear 3991 python make_vox_subset.py 3992 tar -czvf VoxCeleb1_subset.tar.gz VoxCeleb1_subset 3993 rm -r VoxCeleb1_subset 3994 ls 3995 clear 3996 python make_vox_subset.py 3997 rm -r VoxCeleb1_subset 3998 ls 3999 clear 4000 python make_vox_subset.py 4001 tar -czvf VoxCeleb1_subset.tar.gz VoxCeleb1_subset 4002 clear 4003 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4004 rm -r VoxCeleb1_subset 4005 python make_vox_subset.py 4006 clear 4007 python make_vox_subset.py 4008 tar -czvf VoxCeleb1_subset.tar.gz VoxCeleb1_subset 4009 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4010 clear 4011 ls 4012 cd .. 4013 ls 4014 cd .. 4015 ls 4016 cd LibriMix 4017 ls 4018 python test.py 4019 conda activate sp 4020 clear 4021 conda activate sp 4022 python test.py 4023 conda activate librimix 4024 python test.py 4025 pip3 install torchmetrics 4026 clear 4027 python test.py 4028 pip install speechbrain\n 4029 clear 4030 python test.py 4031 pip3 install torchmetrics torchvision 4032 clear 4033 python test.py 4034 clear 4035 python test.py 4036 ls 4037 clear 4038 git clone https://huggingface.co/speechbrain/sepformer-whamr 4039 ls 4040 cd sepformer-whamr 4041 ls 4042 clear 4043 python test.py 4044 cd .. 4045 python test.py 4046 cd .. 4047 conda create -n sb python=3.10 -y 4048 conda activate sb 4049 clear 4050 pip3 install speechbrain 4051 pip3 install torchmetrics torchvision 4052 pip3 uninstall torchmetrics torchvision 4053 conda remove -n sb --all 4054 conda deactivate 4055 conda remove -n sb --all 4056 clear 4057 conda create -n sb python=3.10 -y 4058 conda activate sb 4059 pip3 install speechbrain 4060 python test.py 4061 cd LibriMix 4062 ls 4063 python test.py 4064 clear 4065 python test.py 4066 pip3 install torchmetrics torchvision --no-deps 4067 clear 4068 python test.py 4069 pip3 uninstall torchvision 4070 python test.py 4071 clear 4072 python test.py 4073 clear 4074 python test.py 4075 pip3 install pandas --no-deps 4076 python test.py 4077 pip3 install pandas pytz dateutil --no-deps 4078 pip3 install pandas 4079 python test.py 4080 clear 4081 python test.py 4082 cd SP/A2/Libri 4083 cd SP/A2/LibriMix 4084 conda activate sb 4085 clear 4086 python test.py 4087 clear 4088 python test.py 4089 clear 4090 python test.py 4091 clear 4092 python test.py 4093 clear 4094 python test.py 4095 clear 4096 python test.py 4097 clear 4098 python test.py 4099 clear 4100 python test.py 4101 clear 4102 python test.py 4103 clear 4104 python test.py 4105 clear 4106 python test.py 4107 clear 4108 python test.py 4109 clear 4110 python test.py 4111 clear 4112 python test.py 4113 clear 4114 python test.py 4115 clear 4116 python test.py 4117 clear 4118 python test.py 4119 watch -n 0 nvidia-smi 4120 clear 4121 python test.py 4122 clear 4123 python test.py 4124 clear 4125 python test.py 4126 clear 4127 python test.py 4128 clear 4129 python test.py 4130 clear 4131 python test.py 4132 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4133 conda activate sb 4134 cd SP/A2/LibriMix 4135 python test.py 4136 clear 4137 python test.py 4138 clear 4139 python test.py 4140 pip3 install wandb 4141 clear 4142 python test.py 4143 watch -n 0 nvidia-smi 4144 clear 4145 python test.py 4146 clear 4147 python test.py 4148 clear 4149 python test.py 4150 clear 4151 python test.py 4152 clear 4153 python test.py 4154 clear 4155 python test.py 4156 clear 4157 python test.py 4158 clear 4159 python test.py 4160 clear 4161 python test.py 4162 clear 4163 python test.py 4164 clear 4165 python test.py 4166 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4167 cd SP/A2/LibriMix 4168 python test.py 4169 conda activate sb 4170 clear 4171 python test.py 4172 clear 4173 python test.py 4174 clear 4175 python test.py 4176 clear 4177 python test.py 4178 clear 4179 python test.py 4180 clear 4181 python test.py 4182 clear 4183 python test.py 4184 clear 4185 python test.py 4186 clear 4187 python test.py 4188 clear 4189 python test.py 4190 clear 4191 python test.py 4192 clear 4193 python test.py 4194 clear 4195 python test.py 4196 clear 4197 python test.py 4198 clear 4199 python test.py 4200 clear 4201 python test.py 4202 watch -n 0 nvidia-smi 4203 clear 4204 watch -n 0 nvidia-smi 4205 python test.py 4206 clear 4207 python test.py 4208 clear 4209 python test.py 4210 clear 4211 python test.py 4212 clear 4213 python test.py 4214 clear 4215 python test.py 4216 clear 4217 python test.py 4218 /home/curie/miniconda3/envs/sp/bin/python 4219 clear 4220 python test.py 4221 clear 4222 python test.py 4223 clear 4224 pip install soundfile --no-deps 4225 python test.py 4226 pip install soundfile 4227 python test.py 4228 clear 4229 python test.py 4230 clear 4231 python test.py 4232 /home/curie/miniconda3/envs/sp/bin/python 4233 clear 4234 python test.py 4235 clear 4236 nohup python3 -u fine-tune-wavelm-base-plus.py > finetunning_runlogs.log& 4237 tail finetunning_runlogs.log 4238 clear 4239 nohup python3 -u test-and-finetune.py > libri2mix-finetune.log& 4240 tail libri2mix-finetune.log 4241 ls 4242 clear 4243 tail libri2mix-finetune.log 4244 kill -9 1697955 4245 clear 4246 nohup python3 -u test-and-finetune.py > libri2mix-finetune.log& 4247 tail libri2mix-finetune.log 4248 ssh mars@10.6.0.236 4249 tail libri2mix-finetune.log 4250 clear 4251 nohup python3 -u test-and-finetune.py > libri2mix-finetune.log& 4252 ip a | grep 10.6 4253 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4254 tail libri2mix-finetune.log 4255 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4256 clear 4257 nohup python3 -u test-and-finetune.py > libri2mix-finetune.log& 4258 tail libri2mix-finetune.log 4259 nohup python3 -u test-and-finetune.py > libri2mix-finetune.log& 4260 watch -n 0 nvidia-smi 4261 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4262 ls 4263 cd SP 4264 ls 4265 clear 4266 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4267 conda activate librimix 4268 which python3 4269 pip3 install pyaudio 4270 pip install PyAudio 4271 sudo apt install portaudio19-dev\n 4272 pip install PyAudio 4273 clear 4274 cd SP/M2 4275 clear 4276 python Q1.py 4277 clear 4278 python Q1.py 4279 clear 4280 python Q1.py 4281 clear 4282 python Q1.py 4283 clear 4284 python gen_data.py 4285 clear 4286 python gen_data.py 4287 clear 4288 python gen_data.py 4289 clear 4290 python gen_data.py 4291 which python3 4292 pip install librosa 4293 clear 4294 python plot_sepctogram.py 4295 clear 4296 python plot_sepctogram.py 4297 clear 4298 python plot_sepctogram.py 4299 clear 4300 python plot_sepctogram.py 4301 c;ear 4302 clear 4303 c;ear 4304 python plot_sepctogram.py 4305 c;ear 4306 python plot_sepctogram.py 4307 clear 4308 python plot_sepctogram.py 4309 /home/curie/miniconda3/envs/librimix/bin/python 4310 clear 4311 /home/curie/miniconda3/envs/librimix/bin/python 4312 clear 4313 python plot_sepctogram.py 4314 clear 4315 python plot_sepctogram.py 4316 clear 4317 python gen_data.py 4318 python plot_sepctogram.py 4319 clear 4320 python gen_data.py 4321 python plot_sepctogram.py 4322 clear 4323 python plot_sepctogram.py 4324 python train.py 4325 clear 4326 python train.py 4327 clear 4328 python train.py 4329 clear 4330 ls 4331 rm -r data 4332 python gen_data.py 4333 python train.py 4334 python plot_sepctogram.py 4335 python train.py 4336 clear 4337 python train.py 4338 clear 4339 python train.py 4340 clear 4341 python train.py 4342 clear 4343 python train.py 4344 clear 4345 python train.py 4346 clear 4347 python train.py 4348 clear 4349 python train.py 4350 clear 4351 python train.py 4352 clear 4353 python train.py 4354 clear 4355 python train.py 4356 clear 4357 python train.py 4358 clear 4359 python train.py 4360 cclear 4361 clear 4362 cclear 4363 clear 4364 cclear 4365 clear 4366 python train.py 4367 clear 4368 python train.py 4369 watch -n 0 nvidia-smi 4370 clear 4371 watch -n 0 nvidia-smi 4372 python train.py 4373 clear 4374 python train.py 4375 clear 4376 python train.py 4377 clear 4378 python train.py 4379 clear 4380 python train.py 4381 clear 4382 python train.py 4383 clear 4384 python train.py 4385 conda activate librimix 4386 python train.py 4387 pip3 install wandb 4388 clear 4389 pip3 install wandb 4390 python train.py 4391 clear 4392 python train.py 4393 c;ear 4394 clear 4395 python train.py 4396 c;ear 4397 clear 4398 python train.py 4399 clear 4400 python train.py 4401 clear 4402 python train.py 4403 c;ear 4404 clear 4405 python train.py 4406 clear 4407 python train.py 4408 c;ear 4409 python train.py 4410 clear 4411 python train.py 4412 c;ear 4413 clear 4414 python train.py 4415 clear 4416 python train.py 4417 clear 4418 python train.py 4419 clear 4420 python train.py 4421 clear 4422 python train.py 4423 clear 4424 python train.py 4425 clea 4426 python plot_sepctogram.py 4427 c;ear 4428 c;clear 4429 python plot_sepctogram.py 4430 clear 4431 python plot_sepctogram.py 4432 clear 4433 python plot_sepctogram.py 4434 clea 4435 rclear 4436 clear 4437 ls 4438 wget "https://storage.googleapis.com/kaggle-data-sets/2001998/3320243/bundle/archive.zip\?X-Goog-Algorithm\=GOOG4-RSA-SHA256\&X-Goog-Credential\=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20240324%2Fauto%2Fstorage%2Fgoog4_request\&X-Goog-Date\=20240324T073754Z\&X-Goog-Expires\=259200\&X-Goog-SignedHeaders\=host\&X-Goog-Signature\=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" -O "archive (1).zip\n" 4439 wget "https://storage.googleapis.com/kaggle-data-sets/2001998/3320243/bundle/archive.zip" -O "archive.zip" 4440 clear 4441 unzip archive.zip -d "data/" 4442 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4443 clear 4444 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4445 conda activate librimix 4446 cd 4447 cd /DATA1/bikash_dutta/CS/SP/M2 4448 ls 4449 clear 4450 conda activate librimix 4451 python q2.py 4452 cl;ear 4453 cleart 4454 celat 4455 clear 4456 python q2.py 4457 clear 4458 python q2.py 4459 clear 4460 python q2.py 4461 clear 4462 python q2.py 4463 clear 4464 python q2.py 4465 clear 4466 python q2.py 4467 clar 4468 clear 4469 python q2.py 4470 clear 4471 python q2.py 4472 clear 4473 python q2.py 4474 clear 4475 python q2.py 4476 clear 4477 python q2.py 4478 clear 4479 python q2.py 4480 clear 4481 python q2.py 4482 clear 4483 python q2.py 4484 clear 4485 python q2.py 4486 clear 4487 python q2.py 4488 clear 4489 python q2.py 4490 clear 4491 python q2.py 4492 clear 4493 python q2.py 4494 clear 4495 python q2.py 4496 clear 4497 python q2.py 4498 clear 4499 python q2.py 4500 clear 4501 python q2.py 4502 python q2.pyclear 4503 clear 4504 python q2.pyclear 4505 python q2.py 4506 clear 4507 python q2.py 4508 clear 4509 python q2.py 4510 clear 4511 python q2.py 4512 clear 4513 python q2.py 4514 clear 4515 python q2.py 4516 clear 4517 python q2.py 4518 clear 4519 python q2.py 4520 clear 4521 python q2.py 4522 clear 4523 python q2.py 4524 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4525 clear 4526 cd 4527 cd /DATA1/bikash_dutta/CS/SP/M2 4528 python q2-p1.py 4529 conda activate librimix 4530 python q2-p1.py 4531 clear 4532 pip3 install transformers 4533 clear 4534 python q2py 4535 python q2.py 4536 clear 4537 python q2.py 4538 clear 4539 python q2.py 4540 clear 4541 python q2.py 4542 clear 4543 python q2.py 4544 clear 4545 python q2.py 4546 clear 4547 python q2.py 4548 clear 4549 python q2.py 4550 clear 4551 python q2.py 4552 clear 4553 python q2.py 4554 clear 4555 python q2.py 4556 clear 4557 python q2.py 4558 clear 4559 python q2.py 4560 clear 4561 python q2.py 4562 clear 4563 python q2.py 4564 clear 4565 python q2.py 4566 clear 4567 python q2.py 4568 clear 4569 python q2.py 4570 clear 4571 python q2.py 4572 clear 4573 python q2.py 4574 clear 4575 python q2.py 4576 clear 4577 python q2.py 4578 clear 4579 python q2.py 4580 clear 4581 python q2.py 4582 c;ear 4583 clear 4584 python q2.py 4585 clear 4586 python q2.py 4587 clear 4588 python q2.py 4589 3clear 4590 clear 4591 3clear 4592 python q2.py 4593 python q2-p1.py 4594 clear 4595 python q2-p1.py 4596 python q2.py 4597 ls 4598 python q2-p3.py 4599 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4600 cd SP/A2/LibriMix 4601 python demo.py 4602 conda activate librimix 4603 python demo.py 4604 pip3 install gradio 4605 clear 4606 python demo.py 4607 ckear 4608 clear 4609 python demo.py 4610 which python3 4611 python demo.py 4612 python test-and-finetune.py 4613 pip3 install speechbrain 4614 pip3 install speechbrain -U 4615 python demo.py 4616 pip3 uninstall speechbrain 4617 pip3 install speechbrain 4618 python demo.py 4619 clear 4620 python demo.py 4621 clear 4622 python demo.py 4623 clear 4624 python demo.py 4625 clear 4626 python demo.py 4627 clear 4628 python demo.py 4629 clear 4630 python demo.py 4631 clear 4632 python demo.py 4633 clear 4634 python demo.py 4635 clear 4636 python demo.py 4637 clear 4638 python demo.py 4639 clear 4640 python demo.py 4641 clear 4642 python demo.py 4643 clear 4644 python demo.py 4645 clear 4646 python demo.py 4647 pip3 freeze 4648 ls 4649 git clone git clone https://huggingface.co/spaces/d22cs051/Speech-Sepration-A2 4650 git clone https://huggingface.co/spaces/d22cs051/Speech-Sepration-A2 4651 ls 4652 cp requirements.txt Speech-Sepration-A2 4653 cp demo.py Speech-Sepration-A2/app.py 4654 cp fine_tuned_sepformer-wsj03mix-7sec.ckpt Speech-Sepration-A2 4655 git status 4656 cd Speech-Sepration-A2 4657 git status 4658 git add app.py fine_tuned_sepformer-wsj03mix-7sec.ckpt requirements.txt 4659 git commit -m "Add application file" 4660 git config --global user.email "d22cs051@iitj.ac.in" 4661 git config --global user.name "Bikash Dutta" 4662 git commit -m "Add application file" 4663 git push 4664 ssh-keygen -t ed25519 -C "d22cs051@iitj.ac.in" 4665 $ ssh-add ~/.ssh/id_ed25519 4666 ssh-add ~/.ssh/id_ed25519 4667 cat ~/.ssh/id_ed25519 4668 cat ~/.ssh/id_ed25519.pub 4669 $ ssh -T git@hf.co 4670 ssh -T git@hf.co 4671 clear 4672 git push 4673 cd .. 4674 pip3 freeze 4675 clear 4676 rm -rf Speech-Sepration-A2 4677 git clone git@hf.co:spaces/d22cs051/Speech-Sepration-A2 4678 cp fine_tuned_sepformer-wsj03mix-7sec.ckpt Speech-Sepration-A2 4679 cp demo.py Speech-Sepration-A2/app.py 4680 cp requirements.txt Speech-Sepration-A2 4681 cd Speech-Sepration-A2 4682 git add app.py fine_tuned_sepformer-wsj03mix-7sec.ckpt requirements.txt 4683 git commit -m "Add application file" 4684 git push 4685 git lfs install 4686 sudo apt-get install git-lfs\n 4687 git lfs install 4688 git lfs track "*.ckpt" 4689 git add .gitattributes 4690 git status 4691 git push 4692 git status 4693 git log 4694 git checkout 6ffa81b8e821c694366067244d212ab5cc0c1358 4695 clear 4696 git status 4697 git log 4698 git status 4699 git add .gitattributes 4700 git push 4701 cp requirements.txt Speech-Sepration-A2 4702 cd .. 4703 cp requirements.txt Speech-Sepration-A2 4704 cp demo.py Speech-Sepration-A2/app.py 4705 cp fine_tuned_sepformer-wsj03mix-7sec.ckpt Speech-Sepration-A2 4706 cd S 4707 cd Speech-Sepration-A2 4708 ls 4709 git status 4710 git lfs install 4711 git status 4712 git lfs track "*.ckpt" 4713 git add .gitattributes\n 4714 git status 4715 git add . 4716 git commit -m "Add application file" 4717 git push 4718 git remote -v 4719 git push origin 4720 git push origin main 4721 huggingface-cli lfs-enable-largefiles . 4722 git push origin main 4723 # Create any files you like! Then...\ngit add .\ngit commit -m "First model version" # You can choose any descriptive message\ngit push 4724 git status 4725 # Create any files you like! Then...\ngit add .\ngit commit -m "First model version" # You can choose any descriptive message\ngit push origin main 4726 cd .. 4727 rm -rf Speech-Sepration-A2 4728 git clone git@hf.co:spaces/d22cs051/Speech-Sepration-A2 4729 cp fine_tuned_sepformer-wsj03mix-7sec.ckpt Speech-Sepration-A2 4730 cp demo.py Speech-Sepration-A2/app.py 4731 cp requirements.txt Speech-Sepration-A2 4732 cd Speech-Sepration-A2 4733 git lfs install 4734 huggingface-cli lfs-enable-largefiles . 4735 clear 4736 git status 4737 git add . 4738 git commit -m "Add application file" 4739 git push origin main 4740 git add . 4741 git status 4742 git commit -m "Add model file" 4743 git push origin main 4744 git add requirements.txt 4745 git commit -m "Adding librosa" 4746 git push origin main 4747 git status 4748 git add app.py 4749 git commit -m "removing unused imports" 4750 git push origin main 4751 git add app.py 4752 git commit -m "fixing map location for torch load" 4753 git push origin main 4754 git add app.py 4755 git commit -m "fixing map location for torch load" 4756 git push origin main 4757 git commit -m "fixing map location for torch load setting deafult to cpu" 4758 git add app.py 4759 git commit -m "fixing map location for torch load setting deafult to cpu" 4760 git push origin main 4761 git add app.py 4762 git commit -m "fixing map location for torch load setting deafult to cpu" 4763 git push origin main 4764 git add app.py 4765 git commit -m "adding examples" 4766 git add app.py examples/ 4767 git commit -m "adding examples" 4768 git push origin main 4769 cd ../.. 4770 cd UniSpeech/downstreams/speaker_verification 4771 ls 4772 clear 4773 git clone git@hf.co:spaces/d22cs051/Speaker-Verification-A2 4774 cd Speaker-Verification-A2 4775 ls 4776 git lfs install 4777 cp ../fine-tuning-wavlm-base-plus-checkpoint.ckpt . 4778 cp ../requirements.txt . 4779 ls 4780 cp ../verification.py . 4781 conda activate sp 4782 which python3 4783 ls 4784 clear 4785 python app.py 4786 pip3 install gradio 4787 python app.py 4788 cp ../models . 4789 clear 4790 ls 4791 cp -r ../models . 4792 clear 4793 python app.py 4794 ls 4795 mkdir samples 4796 cp /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data/kb_data_clean_m4a/hindi/test_known/wav/844424933481805-705-m.wav samples 4797 cp /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data/kb_data_clean_m4a/hindi/test_known/wav/844424932691175-645-f.wav samples 4798 cp /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data/kb_data_clean_m4a/hindi/test_known/wav/844424931281875-277-f.wav samples 4799 cp /DATA1/bikash_dutta/CS/SP/A2/UniSpeech/data/kb_data_clean_m4a/hindi/test_known/wav/844424930801214-277-f.wav samples 4800 clear 4801 python app.py 4802 clear 4803 python app.py 4804 clear 4805 git status 4806 touch .gitignore 4807 clear 4808 git status 4809 git lfs install 4810 clear 4811 git add . 4812 git status 4813 git commit -m "add app for speaker verifcation" 4814 git push origin main 4815 git status 4816 ls 4817 clear 4818 git status 4819 git add requirements.txt 4820 git commit -m "adding fairseq" 4821 git push 4822 git add requirements.txt 4823 git commit -m "adding fairseq" 4824 git push 4825 git commit -m "adding scipy" 4826 git add requirements.txt 4827 git commit -m "adding scipy" 4828 git push 4829 git commit -m "modifying reqs.txt" 4830 git add requirements.txt 4831 git commit -m "modifying reqs.txt" 4832 git push 4833 git add requirements.txt 4834 git commit -m "modifying reqs.txt" 4835 git push 4836 git commit -m "modifying reqs.txt" 4837 git add requirements.txt 4838 git commit -m "modifying reqs.txt" 4839 git push 4840 git add requirements.txt 4841 git commit -m "modifying reqs.txt" 4842 git push 4843 git add requirements.txt 4844 git commit -m "modifying reqs.txt" 4845 git add requirements.txt 4846 git push 4847 python3 --version 4848 lf 4849 ls 4850 cd .. 4851 git clone git@hf.co:spaces/d22cs051/Speaker-Verification-A2-Docker 4852 cp -r Speaker-Verification-A2/* Speaker-Verification-A2-Docker 4853 cd Speaker-Verification-A2-Docker 4854 git lfs install 4855 clear 4856 git status 4857 touch .gitignore 4858 clear 4859 git status 4860 python3 --version 4861 git add . 4862 git commit -m "trying deploying with docker on hf" 4863 git push 4864 git add . 4865 git commit -m "trying deploying with docker on hf" 4866 git push 4867 pip freeze 4868 pip freeze > requirements.txt 4869 git add requirements.txt 4870 git commit -m "modifying reqs.txt" 4871 git push 4872 git add requirements.txt 4873 git commit -m "modifying reqs.txt" 4874 git push 4875 git add requirements.txt 4876 git commit -m "modifying reqs.txt" 4877 git push 4878 clear 4879 git status 4880 git add . 4881 git commit -m "modifying reqs.txt" 4882 git push 4883 git status 4884 git add . 4885 git commit -m "modifying reqs.txt" 4886 git push 4887 git add . 4888 git commit -m "modifying reqs.txt" 4889 git push 4890 git add . 4891 git commit -m "modifying reqs.txt" 4892 git push 4893 git add .; git commit -m "modifying reqs.txt"; git push 4894 git add .; git commit -m "modifying reqs.txt adding deps"; git push 4895 git add .; git commit -m "modifying reqs.txt adding sox"; git push 4896 docker ps 4897 ls 4898 docker build . -t speaker-verify:test 4899 docker ps 4900 docker image ls 4901 docker run -d speaker-verify -p 7860:7860 4902 docker run -it -p 7860:7860 speaker-verify 4903 docker images 4904 docker run -it -p 7860:7860 bc1f4781697e 4905 docker build . -t speaker-verify:test 4906 docker image ls 4907 docker run -it -p 7860:7860 999590989ab2 4908 docker image rm * 4909 docker image ls 4910 docker image rm bc1f4781697e 999590989ab2 4911 docker ps 4912 docker image rm bc1f4781697e 999590989ab2 -f 4913 docker system prune -a 4914 docker build . -t speaker-verify:test 4915 pip freeze | grep numpy 4916 docker build . -t speaker-verify:test 4917 docker system prune -a 4918 docker build . -t speaker-verify:test 4919 docker image ls 4920 docker run -it -p 7860:7860 a8851307f213 4921 docker system prune -a 4922 docker build . -t speaker-verify:test 4923 docker system prune -a 4924 systemctl --user restart docker-desktop 4925 docker image ls 4926 docker system prune -a 4927 docker build . -t speaker-verify:test 4928 git add .; git commit -m "modifying reqs.txt adding sox"; git push 4929 docker system prune -a 4930 docker build . -t speaker-verify:test 4931 docker run -it speaker-verify:test 4932 pip freeze | grep fair 4933 which python3 4934 docker system prune -a 4935 docker build . -t speaker-verify:test 4936 docker run -it speaker-verify:test 4937 clear 4938 cd SP/A2/UniSpeech/downstreams/speaker_verification 4939 ls 4940 cd Speaker-Verification-A2-Docker 4941 ls 4942 conda env list 4943 conda create -n sp-gradio python=3.8 -y 4944 conda activate sp-gradio 4945 which python3 4946 pip3 install -r requirements.txt 4947 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4948 clear 4949 ls 4950 python app.py pp.py 4951 python app.py 4952 clear 4953 python app.py 4954 pip install --no-cache-dir fairseq==0.12.2 4955 python app.py 4956 clear 4957 python app.py 4958 clear 4959 python app.py 4960 docker run -it speaker-verify:test 4961 docker system prune -a 4962 docker build . -t speaker-verify:test 4963 docker run -it speaker-verify:test 4964 conda activate sp-gradio 4965 python app.py 4966 c,ear 4967 clear 4968 which python3 4969 ipython 4970 python 4971 pip install tensorboard 4972 python app.py 4973 pip3 install setuptools==59.5.0 4974 python app.py 4975 conda activate sp 4976 pip freeze > requirements.txt 4977 cleare 4978 cleaer 4979 clear 4980 docker image ls 4981 docker image rm 6ecbe49006ec 4982 docker image rm 6ecbe49006ec -f 4983 clear 4984 docker build . -t speaker-verify:test 4985 clear 4986 docker build . -t speaker-verify:test 4987 docker system prune -a 4988 docker build . -t speaker-verify:test 4989 docker run -it speaker-verify:test 4990 docker build . -t speaker-verify:test 4991 btop --utf-force 4992 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4993 docker run -it speaker-verify:test 4994 git add .; git commit -m "modifying reqs.txt adding sox"; git push 4995 /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 4996 docker ps 4997 docker build . -t speaker-verify:test 4998 cd SP/A2/UniSpeech/downstreams/speaker_verification 4999 cd Speaker-Verification-A2-Docker 5000 docker build . -t speaker-verify:test 5001 docker run -it speaker-verify:test 5002 conda activate sp-gradio 5003 which python3 5004 pip install -r requirements.txt 5005 python app.py 5006 conda activate sp 5007 python app.py 5008 docker build . -t speaker-verify:test 5009 docker run -it speaker-verify:test 5010 docker build . -t speaker-verify:test 5011 docker run -it speaker-verify:test 5012 docker build . -t speaker-verify:test 5013 docker run -it speaker-verify:test 5014 python app.py 5015 pip freeze 5016 docker build . -t speaker-verify:test 5017 docker run -it speaker-verify:test 5018 docker system prune -a 5019 docker build . -t speaker-verify:test 5020 docker run -it speaker-verify:test 5021 docker build . -t speaker-verify:test 5022 docker system prune -a 5023 docker build . -t speaker-verify:test 5024 systemctl --user restart docker-desktop 5025 docker build . -t speaker-verify:test 5026 docker run -it speaker-verify:test 5027 docker build . -t speaker-verify:test 5028 docker run -it speaker-verify:test 5029 conda activate sp 5030 conda env export > sp.yml 5031 ls 5032* /usr/bin/python3 /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/printEnvVariablesToFile.py /home/curie/.vscode-server/extensions/ms-python.python-2024.2.1/pythonFiles/deactivate/zsh/envVars.txt 5033 sp SP/A2/UniSpeech/downstreams/speaker_verification/Speaker-Verification-A2-Docker 5034 cd SP/A2/UniSpeech/downstreams/speaker_verification/Speaker-Verification-A2-Docker 5035 ls 5036 clear 5037 docker system prune -a 5038 docker build . -t speaker-verify:test 5039* cd SP/A2/UniSpeech/downstreams/speaker_verification/Speaker-Verification-A2-Docker 5040* ls 5041* git add .; git commit -m "modifying reqs.txt-> sp.yml using conda"; git push 5042 docker system prune -a 5043 docker build . -t speaker-verify:test 5044 clear 5045 docker build . -t speaker-verify:test 5046 docker system prune -a 5047 docker build . -t speaker-verify:test 5048 docker system prune -a 5049 docker build . -t speaker-verify:test 5050 docker system prune -a 5051 docker system prune -a -f 5052 docker build . -t speaker-verify:test