darglein / ADOP

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modelsimpl.h compability issue #88

Closed AlperenCicek closed 1 year ago

AlperenCicek commented 1 year ago

I got the following problem when starting default training with ADOP.

alperen@alperen:~/atlas_ws/codes/3D-reconstruction/src/ADOP/ADOP$ ./build/bin/adop_train --config configs/train_boat.ini register neural render info Git ref: ad8801583ad30e2e9e205947cb3602406d3aac0f Loading Config File configs/train_boat.ini Using Random Seed: 3746934646 torch::cuda::cudnn_is_available() 1

Scene Loaded Name boat Path /home/alperen/atlas_ws/codes/3D-reconstruction/src/ADOP/ADOP/scenes/boat Image Size 2880x1920 Aspect 1.5 K 2772.2 2775.23 1435.08 944.767 0 ocam 2880x1920 affine(1, 0, 0, 0, 0) cam2world() world2cam() ocam cut 1 normalized center -0.00170931 -0.00793403 dist -0.0756776 0.0746716 0 0 0 0 -0.000658676 -0.00050782 Points 53036216 Colors 1 Normals 1 Avg. EV 14.7444 Num Images 742 Num Cameras 1

step 1 Train on eval! Train(742): 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 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42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 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556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 full sampler 1440x960 render scale 0.5 GPU memory - Point Cloud: 1272.87MB Pinhole Intrinsics: Tensor [1, 13] float cuda:0 Min/Max -0.0756776 2775.23 Mean 609.79 Sum 7927.27 sdev 1060.86 req-grad 1 GPU memory - Texture: 848.579MB Using Adam texture optimzier optimizing texture with lr 0.01/0.0002 optimizing environment_map with lr 0.002 optimizing response with lr 0.001 optimizing vignette with lr 5e-06 optimizing poses with lr 0.005 Total Model Params: 574651 num layers in vgg 37

----------- Epoch 0 ----------- Scene Log - Texture: Tensor [4, 53036216] float cpu Min/Max -0.693147 -0.693147 Mean -0.693147 Sum -1.47048e+08 sdev 0 req-grad 1 Background Desc: -1 -1 -1 -1 Environment map: Tensor [1, 4, 1024, 512] float cpu Min/Max -1 -1 Mean -1 Sum -2.09715e+06 sdev 0 req-grad 1 Poses: Tensor [742, 8] double cuda:0 Min/Max -4.45048 8.52544 Mean 0.322647 Sum 1915.23 sdev 1.26921 req-grad 0 Vignette params: 0 0 0 | 0 0 Eval 0 | 100% |##############################| 742/742 [05:19:0425] [2.32 e/s] Cur=1985.138062 Avg=1558.991943 Best - Worst (Eval) [598.786, 2490.72] Loss: boat Param 0 VGG 1558.71 L1 0.285404 MSE 0.161176 PSNR 8.32694 SSIM 0 LPIPS 0.926456 count 742 Saving checkpoint...

=== Epoch 1 === Train 1 | 0% | | 0/742 [00:00:0000] [0.00 e/s] Aborted (core dumped)


And error log in 2022-11-19_12-46-57_boat/error.txt

[W modelsimpl.h:38] Warning: The vision::models namespace is not actively maintained, use at your own discretion. We recommend using Torch Script instead: https://pytorch.org/tutorials/advanced/cpp_export.html (function operator())

How can I manage this issue on ADOP according to https://pytorch.org/tutorials/advanced/cpp_export.html? Thanks in advance.


Also my GPU;

Sat Nov 19 12:21:18 2022
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 520.61.05 Driver Version: 520.61.05 CUDA Version: 11.8 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | | 0 Quadro RTX 4000 On | 00000000:01:00.0 On | N/A | | 30% 40C P8 20W / 125W | 976MiB / 8192MiB | 1% Default | | | | N/A | +-------------------------------+----------------------+----------------------+


nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0

AlperenCicek commented 1 year ago

The main problem was not the error message, I had no problems when I did the current training with NVIDIA TITAN RTX. I kept getting the same error message but found that there was no training critical message. Long story short, it was a scenario that stopped with a lack of memory and had nothing to do with the error message.