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@@ -705,4 +705,96 @@ Epoch 0: |
 Epoch 0: |                                                                            | 2650/? [2:49:12<00:00,  0.26it/s, v_num=gbfj]context = [[6, 10, 15, 16, 20, 26, 31, 32, 37, 40, 42, 47, 55, 57, 66, 69, 70, 80, 82, 85, 88, 93, 101, 103]]target = [[72, 23, 99, 11, 66, 101, 81, 102, 30, 39, 54, 38, 17, 84, 69, 32, 22, 18, 26, 41, 79, 40, 57, 46]]
 Epoch 0: |                                                                            | 2659/? [2:49:47<00:00,  0.26it/s, v_num=gbfj]train step 2660; scene = [['6666ae9375b1656e'], ['64619aa7bd88899d']]; loss = 0.082106
 Epoch 0: |                                                                            | 2660/? [2:49:51<00:00,  0.26it/s, v_num=gbfj]context = [[13, 14, 27, 29, 31, 32, 39, 48, 50, 52, 54, 57, 58, 61, 67, 73, 79, 90, 93, 95, 105, 108, 109, 110]]target = [[83, 48, 82, 104, 25, 53, 89, 72, 93, 51, 41, 86, 24, 49, 32, 98, 78, 73, 88, 45, 44, 99, 58, 79]]
-Epoch 0: |                                                                            | 2666/? [2:50:13<00:00,  0.26it/s, v_num=gbfj]
+Epoch 0: |                                                                            | 2669/? [2:50:25<00:00,  0.26it/s, v_num=gbfj]train step 2670; scene = [['f0712581f6277ffc'], ['5c4442779124ec3d']]; loss = 0.041771
+Epoch 0: |                                                                            | 2670/? [2:50:29<00:00,  0.26it/s, v_num=gbfj]context = [[0, 1, 4, 5, 6, 8, 9, 11, 13, 29, 32, 34, 35, 38, 43, 47, 50, 58, 61, 67, 86, 94, 96, 97]]target = [[38, 81, 77, 72, 58, 43, 36, 5, 7, 23, 27, 62, 13, 30, 52, 55, 19, 54, 84, 76, 49, 65, 73, 91]]
+Epoch 0: |                                                                            | 2679/? [2:51:04<00:00,  0.26it/s, v_num=gbfj]train step 2680; scene = [['f276b95e48af6e36'], ['e5db691627ea5357']]; loss = 0.058369
+Epoch 0: |                                                                            | 2680/? [2:51:07<00:00,  0.26it/s, v_num=gbfj]context = [[108, 120, 121, 130, 145, 149, 158, 169], [9, 17, 36, 43, 44, 69, 77, 78], [107, 120, 131, 140, 141, 142, 147, 152]]target = [[139, 144, 124, 138, 161, 143, 120, 110], [22, 74, 33, 18, 69, 50, 38, 23], [145, 132, 140, 147, 126, 119, 148, 128]]
+Epoch 0: |                                                                            | 2689/? [2:51:42<00:00,  0.26it/s, v_num=gbfj]train step 2690; scene = [['2059d1d6c79bc51b'], ['6b1950140a598578'], ['a20b4125ede06429']]; loss = 0.091926
+Epoch 0: |                                                                            | 2690/? [2:51:46<00:00,  0.26it/s, v_num=gbfj]context = [[3, 15, 21, 22, 26, 27, 30, 34, 45, 64, 67, 73], [6, 7, 10, 12, 24, 39, 43, 45, 47, 55, 58, 64]]target = [[49, 18, 47, 23, 50, 70, 62, 17, 42, 46, 27, 68], [59, 12, 7, 26, 50, 58, 57, 39, 23, 49, 55, 24]]
+Epoch 0: |                                                                            | 2699/? [2:52:20<00:00,  0.26it/s, v_num=gbfj]train step 2700; scene = [['319bd9ea90f25ea3'], ['12879245713d8124'], ['9bb2a6670058b7b2']]; loss = 0.055446
+Epoch 0: |                                                                            | 2700/? [2:52:24<00:00,  0.26it/s, v_num=gbfj]context = [[39, 40, 41, 44, 48, 49, 52, 58, 63, 67, 82, 83, 85, 87, 88, 93, 102, 104, 108, 109, 113, 118, 131, 136]]target = [[43, 106, 81, 41, 105, 135, 98, 78, 103, 44, 47, 61, 45, 52, 124, 48, 91, 59, 58, 46, 85, 109, 74, 56]]
+Epoch 0: |                                                                            | 2709/? [2:52:56<00:00,  0.26it/s, v_num=gbfj]train step 2710; scene = [['753238098c2307cc']]; loss = 0.079925
+Epoch 0: |                                                                            | 2710/? [2:53:00<00:00,  0.26it/s, v_num=gbfj]context = [[6, 7, 8, 9, 17, 19, 29, 32, 39, 48, 54, 55], [110, 116, 118, 121, 122, 128, 134, 138, 144, 149, 170, 178]]target = [[9, 51, 23, 19, 49, 54, 38, 7, 37, 53, 17, 16], [147, 156, 124, 177, 118, 162, 160, 143, 140, 119, 154, 133]]
+Epoch 0: |                                                                            | 2719/? [2:53:35<00:00,  0.26it/s, v_num=gbfj]train step 2720; scene = [['7194b8d204f4a0b6'], ['5c0ddb9de8c16f05'], ['1a87a846ba692048']]; loss = 0.040586
+Epoch 0: |                                                                            | 2720/? [2:53:39<00:00,  0.26it/s, v_num=gbfj]context = [[73, 88, 89, 91, 93, 96, 104, 111, 114, 115, 118, 120, 121, 125, 133, 136, 137, 143, 144, 145, 151, 161, 165, 170]]target = [[94, 126, 164, 115, 101, 103, 78, 120, 75, 153, 88, 86, 74, 106, 116, 141, 119, 144, 140, 165, 146, 167, 158, 139]]
+Epoch 0: |                                                                            | 2729/? [2:54:14<00:00,  0.26it/s, v_num=gbfj]train step 2730; scene = [['b7a4f7a6d35961d4'], ['b7003ac834dc298b'], ['05596054e7569f2b'], ['b8aed6b43cd738c9']]; loss = 0.049562
+Epoch 0: |                                                                            | 2730/? [2:54:18<00:00,  0.26it/s, v_num=gbfj]context = [[117, 186, 194, 196], [34, 38, 40, 79], [10, 13, 37, 77], [102, 103, 113, 167], [9, 42, 52, 80], [136, 174, 192, 218]]target = [[187, 180, 158, 134], [57, 76, 69, 70], [49, 37, 70, 57], [158, 143, 120, 136], [15, 34, 75, 65], [138, 214, 217, 143]]
+Epoch 0: |                                                                            | 2739/? [2:54:51<00:00,  0.26it/s, v_num=gbfj]train step 2740; scene = [['d9641b3f6ca0b13d'], ['61ef38380e8172c7'], ['3ec462170f378b3f'], ['bc0b4df5aef0a622'], ['6bef29b74b93e80a'], ['8ef643c4e1cb9baf'], ['aa8259399a115c5f'], ['fa35453daaa8e408']]; loss = 0.053940
+Epoch 0: |                                                                            | 2740/? [2:54:55<00:00,  0.26it/s, v_num=gbfj]context = [[0, 1, 7, 8, 9, 10, 11, 18, 22, 31, 32, 39, 49, 53, 59, 66, 69, 72, 74, 78, 81, 82, 93, 97]]target = [[74, 55, 50, 21, 47, 85, 2, 42, 41, 40, 39, 93, 49, 45, 23, 66, 73, 38, 89, 36, 87, 30, 48, 9]]
+Epoch 0: |                                                                            | 2749/? [2:55:30<00:00,  0.26it/s, v_num=gbfj]train step 2750; scene = [['2225123ef31a93e4']]; loss = 0.093276
+Epoch 0: |                                                                            | 2750/? [2:55:34<00:00,  0.26it/s, v_num=gbfj]Validation epoch start on rank 0
+Validation: |                                                                                                  | 0/? [00:00<?, ?it/s]validation step 2750; scene = ['3e07add8413f8157'];
+target intrinsic:  tensor(0.8521, device='cuda:0') tensor(0.8523, device='cuda:0')                             | 0/1 [00:00<?, ?it/s]
+pred intrinsic:  tensor(0.8575, device='cuda:0') tensor(0.8566, device='cuda:0')
+[2026-02-25 13:35:42,292][py.warnings][WARNING] - /workspace/code/CVPR2026/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+
+Epoch 0: |                                                                            | 2750/? [2:55:35<00:00,  0.26it/s, v_num=gbfj]context = [[12, 14, 17, 18, 20, 21, 32, 34, 38, 40, 54, 57, 65, 67, 72, 77, 82, 85, 92, 96, 98, 102, 105, 109]]target = [[101, 39, 104, 51, 15, 33, 16, 24, 94, 58, 72, 48, 20, 17, 22, 37, 107, 63, 40, 79, 69, 27, 28, 60]]
+Epoch 0: |                                                                            | 2759/? [2:56:09<00:00,  0.26it/s, v_num=gbfj]train step 2760; scene = [['03a4631365a95cb2'], ['9f622f50132c1efe'], ['4ec29bd9dfd30c2e'], ['314d09d3997725a7'], ['c437043ac9ced6c1'], ['accfed2fa6ff849d'], ['57a1c0730778cddd'], ['bea0e295ee56d42c'], ['75e5ba7e7fb64fc0'], ['71968459b3168e4f'], ['a08c8a37e64ce67d'], ['bf27ccdada0c2373']]; loss = 0.090976
+Epoch 0: |                                                                            | 2760/? [2:56:13<00:00,  0.26it/s, v_num=gbfj]context = [[41, 48, 51, 52, 59, 61, 68, 69, 72, 73, 75, 103], [9, 10, 23, 35, 37, 38, 41, 43, 48, 69, 76, 84]]target = [[56, 74, 53, 76, 101, 97, 93, 42, 89, 83, 91, 79], [14, 17, 28, 50, 58, 32, 54, 30, 61, 34, 83, 15]]
+Epoch 0: |                                                                            | 2769/? [2:56:47<00:00,  0.26it/s, v_num=gbfj]train step 2770; scene = [['539e0d3713447384'], ['c49e7882e04566c0'], ['69c9010e3d4209bc']]; loss = 0.033301
+Epoch 0: |                                                                            | 2770/? [2:56:51<00:00,  0.26it/s, v_num=gbfj]context = [[0, 9, 19, 31, 34, 68], [7, 20, 31, 36, 41, 53], [1, 15, 29, 56, 58, 74], [0, 19, 21, 35, 43, 50]]target = [[10, 2, 39, 12, 11, 26], [21, 31, 11, 28, 27, 52], [16, 13, 66, 17, 65, 6], [39, 21, 41, 27, 40, 25]]
+Epoch 0: |                                                                            | 2779/? [2:57:26<00:00,  0.26it/s, v_num=gbfj]train step 2780; scene = [['ede896927ea91dd6'], ['7badba95b5be610e']]; loss = 0.039127
+Epoch 0: |                                                                            | 2780/? [2:57:29<00:00,  0.26it/s, v_num=gbfj]context = [[0, 7, 26, 27, 51, 57], [5, 15, 18, 23, 55, 81], [27, 32, 44, 76, 87, 98], [8, 16, 18, 21, 24, 58]]target = [[48, 19, 22, 26, 32, 17], [57, 65, 27, 75, 51, 22], [85, 50, 79, 82, 30, 89], [41, 25, 12, 52, 32, 47]]
+Epoch 0: |                                                                            | 2789/? [2:58:03<00:00,  0.26it/s, v_num=gbfj]train step 2790; scene = [['1e7d7ef1404597f0'], ['ea02d0f42c603c21']]; loss = 0.031761
+Epoch 0: |                                                                            | 2790/? [2:58:07<00:00,  0.26it/s, v_num=gbfj]context = [[99, 100, 101, 107, 108, 110, 111, 113, 116, 128, 131, 139, 145, 149, 155, 162, 167, 170, 172, 179, 183, 191, 194, 196]]target = [[122, 186, 110, 138, 149, 133, 161, 112, 141, 184, 189, 178, 100, 131, 188, 155, 174, 195, 185, 171, 137, 160, 176, 170]]
+Epoch 0: |                                                                            | 2799/? [2:58:42<00:00,  0.26it/s, v_num=gbfj]train step 2800; scene = [['c8e92789f25baec1'], ['b477406d6064f1a3']]; loss = 0.028594
+Epoch 0: |                                                                            | 2800/? [2:58:46<00:00,  0.26it/s, v_num=gbfj]context = [[2, 4, 5, 18, 22, 24, 31, 37, 39, 45, 54, 57, 60, 64, 67, 73, 82, 83, 84, 86, 87, 97, 98, 99]]target = [[23, 55, 39, 36, 80, 52, 28, 29, 89, 63, 56, 61, 98, 78, 40, 9, 77, 82, 69, 47, 43, 68, 81, 44]]
+[2026-02-25 13:38:57,687][py.warnings][WARNING] - /workspace/code/CVPR2026/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+
+Epoch 0: |                                                                            | 2809/? [2:59:28<00:00,  0.26it/s, v_num=gbfj]train step 2810; scene = [['31907a6ebec6ef2e']]; loss = 0.026110
+Epoch 0: |                                                                            | 2810/? [2:59:32<00:00,  0.26it/s, v_num=gbfj]context = [[96, 97, 145, 156, 165, 173], [147, 150, 159, 169, 173, 196], [21, 33, 34, 46, 56, 75], [7, 17, 47, 50, 51, 58]]target = [[144, 115, 146, 171, 129, 101], [194, 177, 170, 186, 155, 193], [34, 60, 52, 63, 32, 22], [37, 45, 50, 22, 27, 35]]
+Epoch 0: |                                                                            | 2819/? [3:00:06<00:00,  0.26it/s, v_num=gbfj]train step 2820; scene = [['b60f8abb905bb1e1']]; loss = 0.054382
+Epoch 0: |                                                                            | 2820/? [3:00:10<00:00,  0.26it/s, v_num=gbfj]context = [[11, 22, 72], [43, 82, 129], [0, 56, 58], [40, 93, 105], [0, 28, 57], [3, 75, 76], [51, 109, 110], [26, 85, 112]]target = [[21, 31, 45], [57, 82, 123], [45, 30, 31], [94, 95, 98], [27, 53, 38], [43, 50, 49], [102, 80, 69], [106, 107, 98]]
+Epoch 0: |                                                                            | 2829/? [3:00:45<00:00,  0.26it/s, v_num=gbfj]train step 2830; scene = [['ad1ad6648a30592c'], ['448e12a47b369490'], ['d3dddf816450d1d0'], ['d7fd0247a853f44b'], ['27cf7ba27eed1eae'], ['fd73259e7c2801e8'], ['9869d33078eac049'], ['06779b91ed31eaf1']]; loss = 0.060793
+Epoch 0: |                                                                            | 2830/? [3:00:49<00:00,  0.26it/s, v_num=gbfj]context = [[15, 17, 19, 20, 21, 26, 36, 40, 42, 44, 47, 49, 50, 57, 67, 77, 78, 87, 89, 90, 102, 104, 105, 112]]target = [[103, 47, 82, 105, 98, 89, 52, 35, 33, 55, 65, 60, 107, 87, 38, 34, 20, 40, 81, 102, 88, 53, 93, 16]]
+Epoch 0: |                                                                            | 2839/? [3:01:24<00:00,  0.26it/s, v_num=gbfj]train step 2840; scene = [['a911c16d8056a34d']]; loss = 0.028877
+Epoch 0: |                                                                            | 2840/? [3:01:27<00:00,  0.26it/s, v_num=gbfj]context = [[12, 15, 17, 19, 47, 48, 51, 58], [32, 38, 40, 56, 57, 72, 75, 78], [75, 90, 96, 97, 109, 115, 129, 139]]target = [[53, 44, 45, 42, 50, 17, 36, 54], [71, 72, 37, 48, 54, 39, 74, 52], [104, 134, 124, 132, 129, 127, 137, 121]]
+Epoch 0: |                                                                            | 2849/? [3:02:02<00:00,  0.26it/s, v_num=gbfj]train step 2850; scene = [['9753a8291766b5da'], ['3a8f14b855f7f4ee'], ['ba3f2372b7959e95']]; loss = 0.043860
+Epoch 0: |                                                                            | 2850/? [3:02:06<00:00,  0.26it/s, v_num=gbfj]context = [[134, 142, 143, 146, 150, 151, 154, 155, 177, 179, 184, 208], [70, 78, 83, 88, 97, 106, 108, 112, 115, 126, 133, 139]]target = [[160, 140, 154, 139, 135, 166, 141, 167, 155, 136, 164, 199], [72, 104, 100, 117, 114, 103, 112, 123, 133, 115, 110, 81]]
+Epoch 0: |                                                                            | 2859/? [3:02:40<00:00,  0.26it/s, v_num=gbfj]train step 2860; scene = [['8f4f366720645ea0'], ['fef48b769b17f0ed']]; loss = 0.026157
+Epoch 0: |                                                                            | 2860/? [3:02:44<00:00,  0.26it/s, v_num=gbfj]context = [[115, 116, 123, 135, 137, 144, 146, 152, 155, 161, 162, 168, 176, 177, 179, 184, 187, 190, 198, 199, 200, 202, 209, 212]]target = [[195, 155, 181, 142, 154, 202, 144, 161, 136, 132, 137, 192, 148, 189, 188, 174, 178, 133, 156, 134, 124, 197, 199, 166]]
+Epoch 0: |                                                                            | 2869/? [3:03:18<00:00,  0.26it/s, v_num=gbfj]train step 2870; scene = [['dff9f50bbc0d0d5d'], ['3baf335bfb54b9c0'], ['c74adb4381e65e99']]; loss = 0.055541
+Epoch 0: |                                                                            | 2870/? [3:03:22<00:00,  0.26it/s, v_num=gbfj]context = [[30, 41, 45, 47, 51, 57, 66, 68, 77, 83, 85, 90, 95, 96, 103, 105, 110, 111, 116, 120, 122, 123, 126, 127]]target = [[118, 32, 75, 92, 109, 89, 43, 36, 72, 115, 96, 111, 76, 68, 90, 70, 69, 66, 38, 77, 81, 45, 34, 42]]
+Epoch 0: |                                                                            | 2879/? [3:03:57<00:00,  0.26it/s, v_num=gbfj]train step 2880; scene = [['d6bd4b0784843fdd'], ['bd1bc8c20a660a96'], ['f8f0491a2268ee5e'], ['90bcc3b4b3d551a8'], ['57ccd86b6a8979b3'], ['9d66dba4551f79f8'], ['a30f898a6e455745'], ['73973f88f24769be']]; loss = 0.050781
+Epoch 0: |                                                                            | 2880/? [3:04:01<00:00,  0.26it/s, v_num=gbfj]context = [[2, 4, 5, 6, 10, 14, 18, 21, 29, 36, 41, 54], [21, 24, 33, 45, 50, 54, 58, 64, 75, 78, 87, 97]]target = [[11, 35, 12, 39, 53, 18, 48, 26, 24, 29, 9, 50], [42, 27, 84, 60, 87, 49, 94, 52, 68, 54, 44, 76]]
+Epoch 0: |                                                                            | 2889/? [3:04:35<00:00,  0.26it/s, v_num=gbfj]train step 2890; scene = [['294bfa0dd8a9eada'], ['a069f40a4a017b66']]; loss = 0.051231
+Epoch 0: |                                                                            | 2890/? [3:04:39<00:00,  0.26it/s, v_num=gbfj]context = [[3, 8, 10, 16, 25, 28, 29, 35, 36, 37, 43, 55, 60, 69, 72, 75, 82, 84, 87, 90, 91, 94, 95, 100]]target = [[34, 96, 98, 26, 86, 19, 46, 11, 4, 54, 8, 29, 87, 56, 9, 25, 82, 49, 6, 37, 32, 43, 21, 38]]
+Epoch 0: |                                                                            | 2899/? [3:05:13<00:00,  0.26it/s, v_num=gbfj]train step 2900; scene = [['cf6618aadac4ddd9'], ['f7e27052900e847e'], ['0b173d0c5951a7f5'], ['3551ff5b8a497fb7']]; loss = 0.032381
+Epoch 0: |                                                                            | 2900/? [3:05:17<00:00,  0.26it/s, v_num=gbfj]context = [[38, 95, 96], [42, 65, 102], [13, 22, 77], [198, 232, 261], [13, 56, 82], [7, 21, 79], [0, 49, 80], [83, 129, 157]]target = [[85, 41, 90], [74, 61, 87], [54, 41, 58], [242, 233, 231], [20, 63, 48], [10, 63, 69], [44, 7, 71], [89, 154, 86]]
+Epoch 0: |                                                                            | 2909/? [3:05:52<00:00,  0.26it/s, v_num=gbfj]train step 2910; scene = [['b5924605972475e2'], ['64554b0854be0a81']]; loss = 0.036171
+Epoch 0: |                                                                            | 2910/? [3:05:56<00:00,  0.26it/s, v_num=gbfj]context = [[0, 15, 38, 47], [103, 127, 147, 175], [174, 186, 243, 250], [14, 30, 57, 62], [88, 115, 122, 134], [64, 65, 75, 127]]target = [[11, 38, 21, 27], [165, 125, 140, 149], [233, 239, 215, 225], [41, 57, 27, 47], [94, 121, 104, 109], [65, 69, 83, 107]]
+Epoch 0: |                                                                            | 2919/? [3:06:30<00:00,  0.26it/s, v_num=gbfj]train step 2920; scene = [['d53f3d87d749e474']]; loss = 0.041432
+Epoch 0: |                                                                            | 2920/? [3:06:34<00:00,  0.26it/s, v_num=gbfj]context = [[94, 95, 106, 107, 112, 114, 118, 121, 124, 126, 128, 132, 137, 138, 147, 148, 153, 156, 173, 175, 176, 184, 188, 191]]target = [[164, 111, 98, 129, 114, 99, 141, 146, 144, 153, 96, 149, 109, 122, 151, 187, 136, 167, 132, 176, 95, 148, 126, 181]]
+Epoch 0: |                                                                            | 2929/? [3:07:07<00:00,  0.26it/s, v_num=gbfj]train step 2930; scene = [['e61532beb3fa8b63'], ['c0803f4d1cb0eeea']]; loss = 0.027207
+Epoch 0: |                                                                            | 2930/? [3:07:11<00:00,  0.26it/s, v_num=gbfj]context = [[16, 17, 22, 25, 31, 34, 37, 38, 41, 46, 54, 55, 57, 66, 75, 82, 84, 85, 92, 101, 104, 107, 111, 113]]target = [[109, 112, 73, 65, 111, 102, 34, 28, 20, 49, 46, 85, 17, 81, 50, 58, 22, 89, 52, 19, 63, 87, 59, 25]]
+Epoch 0: |                                                                            | 2939/? [3:07:44<00:00,  0.26it/s, v_num=gbfj]train step 2940; scene = [['73aee8654106974f']]; loss = 0.040623
+Epoch 0: |                                                                            | 2940/? [3:07:48<00:00,  0.26it/s, v_num=gbfj]context = [[80, 83, 85, 91, 93, 101, 104, 109, 110, 118, 125, 131, 133, 138, 140, 142, 147, 160, 163, 164, 167, 168, 173, 177]]target = [[172, 125, 159, 124, 146, 83, 138, 151, 164, 144, 84, 121, 153, 91, 105, 107, 109, 163, 131, 114, 89, 94, 98, 108]]
+Epoch 0: |                                                                            | 2949/? [3:08:22<00:00,  0.26it/s, v_num=gbfj]train step 2950; scene = [['79d5ea6cd3f0fdb2'], ['85fb2f64303a1388'], ['9e3c241e9f50165d'], ['6a94bfa75e7988c8'], ['270022f0b06e71d5'], ['02f1d3b1d43877df'], ['6f4cc17690dcdd2e'], ['70c5a81e8b7868cc'], ['63982f095d5089b0'], ['f7498ea452fed198'], ['d07aa4d1691ccf58'], ['5474e6cd7ccd6d1a']]; loss = 0.056908
+Epoch 0: |                                                                            | 2950/? [3:08:25<00:00,  0.26it/s, v_num=gbfj]context = [[1, 20, 21, 24, 25, 26, 27, 30, 36, 39, 50, 53], [60, 74, 75, 77, 82, 90, 99, 106, 111, 113, 114, 133]]target = [[12, 37, 4, 3, 45, 18, 13, 11, 51, 27, 44, 24], [74, 66, 127, 95, 119, 112, 130, 78, 75, 77, 114, 97]]
+Epoch 0: |                                                                            | 2959/? [3:09:00<00:00,  0.26it/s, v_num=gbfj]train step 2960; scene = [['0e5f43adc84b0435']]; loss = 0.071966
+Epoch 0: |                                                                            | 2960/? [3:09:04<00:00,  0.26it/s, v_num=gbfj]context = [[73, 79, 98, 99, 100, 103, 107, 126], [40, 42, 46, 63, 67, 92, 93, 118], [3, 7, 12, 36, 38, 39, 41, 59]]target = [[113, 108, 119, 82, 81, 84, 86, 124], [90, 106, 43, 103, 69, 87, 113, 111], [18, 41, 24, 30, 7, 20, 53, 54]]
+Epoch 0: |                                                                            | 2969/? [3:09:38<00:00,  0.26it/s, v_num=gbfj]train step 2970; scene = [['d3784c9108c25d42']]; loss = 0.031653
+Epoch 0: |                                                                            | 2970/? [3:09:42<00:00,  0.26it/s, v_num=gbfj]context = [[10, 11, 17, 29, 30, 31, 33, 39, 48, 60, 63, 64, 69, 70, 72, 87, 91, 92, 93, 95, 99, 100, 104, 107]]target = [[63, 97, 21, 50, 94, 32, 27, 70, 60, 78, 65, 45, 53, 85, 56, 33, 38, 80, 98, 12, 44, 95, 43, 34]]
+Epoch 0: |                                                                            | 2979/? [3:10:17<00:00,  0.26it/s, v_num=gbfj]train step 2980; scene = [['058bac6c226fc1a9'], ['7d900c809e896e32']]; loss = 0.034653
+Epoch 0: |                                                                            | 2980/? [3:10:20<00:00,  0.26it/s, v_num=gbfj]context = [[64, 69, 70, 71, 83, 85, 86, 93, 94, 96, 111, 112, 113, 117, 123, 138, 139, 140, 141, 148, 149, 153, 159, 161]]target = [[97, 127, 104, 150, 132, 129, 78, 128, 116, 125, 134, 130, 149, 99, 137, 79, 88, 140, 94, 98, 142, 153, 155, 73]]
+Epoch 0: |                                                                            | 2989/? [3:10:54<00:00,  0.26it/s, v_num=gbfj]train step 2990; scene = [['51f581faf9000425'], ['89bc971b5dfbd294'], ['511207c07d553599']]; loss = 0.037801
+Epoch 0: |                                                                            | 2990/? [3:10:57<00:00,  0.26it/s, v_num=gbfj]context = [[27, 42, 44, 84, 95, 99], [168, 178, 219, 221, 222, 224], [50, 56, 89, 100, 116, 131], [117, 131, 156, 157, 160, 171]]target = [[41, 88, 49, 83, 97, 46], [194, 197, 187, 203, 199, 177], [130, 88, 129, 93, 52, 103], [130, 162, 157, 127, 156, 133]]
+Epoch 0: |                                                                            | 2999/? [3:11:31<00:00,  0.26it/s, v_num=gbfj]train step 3000; scene = [['d77284dc9b9d1031']]; loss = 0.082736
+Epoch 0: |                                                                            | 3000/? [3:11:35<00:00,  0.26it/s, v_num=gbfj]Validation epoch start on rank 0
+Validation: |                                                                                                  | 0/? [00:00<?, ?it/s]validation step 3000; scene = ['a76028640ffa1ef9'];
+target intrinsic:  tensor(0.8569, device='cuda:0') tensor(0.8571, device='cuda:0')                             | 0/1 [00:00<?, ?it/s]
+pred intrinsic:  tensor(0.8862, device='cuda:0') tensor(0.8866, device='cuda:0')
+[2026-02-25 13:51:58,139][py.warnings][WARNING] - /workspace/code/CVPR2026/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+
+Epoch 0: |                                                                            | 3000/? [3:11:51<00:00,  0.26it/s, v_num=gbfj]context = [[176, 195, 196, 203, 214, 228, 231, 237], [75, 81, 89, 91, 113, 117, 152, 155], [54, 61, 76, 79, 90, 95, 104, 105]]target = [[207, 201, 216, 186, 203, 231, 198, 179], [144, 150, 79, 87, 147, 123, 115, 138], [86, 82, 99, 72, 100, 74, 66, 62]]
+[2026-02-25 13:52:01,499][py.warnings][WARNING] - /workspace/code/CVPR2026/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+
+Epoch 0: |                                                                            | 3001/? [3:11:56<00:00,  0.26it/s, v_num=gbfj]
+`Trainer.fit` stopped: `max_steps=3001` reached.
+Peak VRAM: 103.323 GB (allocated), 137.609 GB (reserved)
+Total elapsed: 3.22 hours
+Saved memory info to: /workspace/code/CVPR2026/outputs/ablation/re10k/ABLATION_0225_randomSelect/peak_vram_memory.json
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