diff --git "a/his.txt" "b/his.txt" new file mode 100644--- /dev/null +++ "b/his.txt" @@ -0,0 +1,5052 @@ + 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