2023-05-11 16:06:05.297275: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-05-11 16:06:25.835135: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 38251 MB memory: -> device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:ca:00.0, compute capability: 8.0 Estimating enzyme shift in input file Current estimated shift: +4/-4 Making BedGraph Making Bigwig non zero bigwig entries in the given chromosome: 16007643 evaluating hyperparameters on the following chromosomes ['chr2', 'chrX', 'chr3', 'chr6', 'chr7', 'chr10', 'chr8', 'chr9', 'chr11', 'chr13', 'chr12', 'chr16', 'chr17', 'chrY', 'chr18', 'chr19', 'chr1'] Number of non peaks input: 404246 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 404246 Number of non peaks input: 52734 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 52734 Number of peaks input: 201984 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 201984 Upper bound counts cut-off for bias model training: 124.5 Number of nonpeaks after the upper-bount cut-off: 237317 Number of nonpeaks after applying upper-bound cut-off and removing outliers : 224776 counts_loss_weight: 5.3 {'counts_loss_weight': '5.3', 'filters': '128', 'n_dil_layers': '4', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '0', 'chr_fold_path': 'inputs/assembly/mm10/folds/fold_0.json', 'negative_sampling_ratio': '1.0'} params: filters:128 n_dil_layers:4 conv1_kernel_size:21 profile_kernel_size:75 counts_loss_weight:5.3 got the model loading nonpeaks... got split:train for bed regions:(203698, 10) loading nonpeaks... got split:valid for bed regions:(21078, 10) Epoch 1/50 2023-05-11 16:11:38.017644: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8100 2023-05-11 16:14:58.794233: I tensorflow/stream_executor/cuda/cuda_blas.cc:1786] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. 1/3183 [..............................] - ETA: 227:26:28 - loss: 302.9929 - logits_profile_predictions_loss: 219.9787 - logcount_predictions_loss: 15.6630 3/3183 [..............................] - ETA: 1:48 - loss: 260.5212 - logits_profile_predictions_loss: 222.6129 - logcount_predictions_loss: 7.1525  5/3183 [..............................] - ETA: 1:44 - loss: 247.7147 - logits_profile_predictions_loss: 213.2850 - logcount_predictions_loss: 6.4962WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0147s vs `on_train_batch_end` time: 0.0149s). Check your callbacks.  7/3183 [..............................] - ETA: 1:55 - loss: 230.3276 - logits_profile_predictions_loss: 204.2512 - logcount_predictions_loss: 4.9201 9/3183 [..............................] - ETA: 1:50 - loss: 223.7700 - logits_profile_predictions_loss: 200.9726 - logcount_predictions_loss: 4.3014 11/3183 [..............................] - ETA: 1:45 - loss: 218.1740 - logits_profile_predictions_loss: 197.4493 - logcount_predictions_loss: 3.9103 13/3183 [..............................] - ETA: 1:43 - loss: 215.7071 - logits_profile_predictions_loss: 196.9000 - logcount_predictions_loss: 3.5485 15/3183 [..............................] - ETA: 1:40 - loss: 211.2783 - logits_profile_predictions_loss: 194.2742 - logcount_predictions_loss: 3.2083 17/3183 [..............................] - ETA: 1:39 - loss: 208.4402 - logits_profile_predictions_loss: 192.4041 - logcount_predictions_loss: 3.0257 19/3183 [..............................] - ETA: 1:38 - loss: 204.9749 - 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[=>............................] - ETA: 1:20 - loss: 170.4924 - logits_profile_predictions_loss: 166.2785 - logcount_predictions_loss: 0.7951 309/3183 [=>............................] - ETA: 1:20 - loss: 170.4230 - logits_profile_predictions_loss: 166.2103 - logcount_predictions_loss: 0.7949 311/3183 [=>............................] - ETA: 1:20 - loss: 170.2923 - logits_profile_predictions_loss: 166.0854 - logcount_predictions_loss: 0.7938 313/3183 [=>............................] - ETA: 1:20 - loss: 170.2672 - logits_profile_predictions_loss: 166.0668 - logcount_predictions_loss: 0.7925 315/3183 [=>............................] - ETA: 1:20 - loss: 170.2130 - logits_profile_predictions_loss: 166.0224 - logcount_predictions_loss: 0.7907 317/3183 [=>............................] - ETA: 1:20 - loss: 170.2053 - logits_profile_predictions_loss: 166.0120 - logcount_predictions_loss: 0.7912 319/3183 [==>...........................] - ETA: 1:20 - loss: 170.1707 - 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[==>...........................] - ETA: 1:18 - loss: 169.4980 - logits_profile_predictions_loss: 165.4691 - logcount_predictions_loss: 0.7602 387/3183 [==>...........................] - ETA: 1:17 - loss: 169.4581 - logits_profile_predictions_loss: 165.4297 - logcount_predictions_loss: 0.7601 389/3183 [==>...........................] - ETA: 1:17 - loss: 169.4550 - logits_profile_predictions_loss: 165.4330 - logcount_predictions_loss: 0.7589 391/3183 [==>...........................] - ETA: 1:17 - loss: 169.4597 - logits_profile_predictions_loss: 165.4445 - logcount_predictions_loss: 0.7576 393/3183 [==>...........................] - ETA: 1:17 - loss: 169.4245 - logits_profile_predictions_loss: 165.4138 - logcount_predictions_loss: 0.7567 395/3183 [==>...........................] - ETA: 1:17 - loss: 169.3992 - logits_profile_predictions_loss: 165.3920 - logcount_predictions_loss: 0.7561 397/3183 [==>...........................] - ETA: 1:17 - loss: 169.3087 - 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[==>...........................] - ETA: 1:17 - loss: 169.2183 - logits_profile_predictions_loss: 165.2510 - logcount_predictions_loss: 0.7486 413/3183 [==>...........................] - ETA: 1:17 - loss: 169.1788 - logits_profile_predictions_loss: 165.2163 - logcount_predictions_loss: 0.7476 415/3183 [==>...........................] - ETA: 1:17 - loss: 169.1148 - logits_profile_predictions_loss: 165.1566 - logcount_predictions_loss: 0.7468 417/3183 [==>...........................] - ETA: 1:17 - loss: 169.0923 - logits_profile_predictions_loss: 165.1395 - logcount_predictions_loss: 0.7458 419/3183 [==>...........................] - ETA: 1:17 - loss: 169.0604 - logits_profile_predictions_loss: 165.1133 - logcount_predictions_loss: 0.7447 421/3183 [==>...........................] - ETA: 1:16 - loss: 168.9827 - logits_profile_predictions_loss: 165.0374 - logcount_predictions_loss: 0.7444 423/3183 [==>...........................] - ETA: 1:16 - loss: 169.0081 - 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[===>..........................] - ETA: 1:16 - loss: 168.9406 - logits_profile_predictions_loss: 165.0116 - logcount_predictions_loss: 0.7413 439/3183 [===>..........................] - ETA: 1:16 - loss: 168.8978 - logits_profile_predictions_loss: 164.9710 - logcount_predictions_loss: 0.7409 441/3183 [===>..........................] - ETA: 1:16 - loss: 168.8877 - logits_profile_predictions_loss: 164.9664 - logcount_predictions_loss: 0.7399 443/3183 [===>..........................] - ETA: 1:16 - loss: 168.8550 - logits_profile_predictions_loss: 164.9332 - logcount_predictions_loss: 0.7400 445/3183 [===>..........................] - ETA: 1:16 - loss: 168.8291 - logits_profile_predictions_loss: 164.9092 - logcount_predictions_loss: 0.7396 447/3183 [===>..........................] - ETA: 1:16 - loss: 168.8592 - logits_profile_predictions_loss: 164.9383 - logcount_predictions_loss: 0.7398 449/3183 [===>..........................] - ETA: 1:16 - loss: 168.8434 - 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[===>..........................] - ETA: 1:15 - loss: 168.6842 - logits_profile_predictions_loss: 164.7844 - logcount_predictions_loss: 0.7358 465/3183 [===>..........................] - ETA: 1:15 - loss: 168.7188 - logits_profile_predictions_loss: 164.8160 - logcount_predictions_loss: 0.7364 467/3183 [===>..........................] - ETA: 1:15 - loss: 168.6793 - logits_profile_predictions_loss: 164.7804 - logcount_predictions_loss: 0.7357 469/3183 [===>..........................] - ETA: 1:15 - loss: 168.6529 - logits_profile_predictions_loss: 164.7559 - logcount_predictions_loss: 0.7353 471/3183 [===>..........................] - ETA: 1:15 - loss: 168.6673 - logits_profile_predictions_loss: 164.7719 - logcount_predictions_loss: 0.7350 473/3183 [===>..........................] - ETA: 1:15 - loss: 168.7130 - logits_profile_predictions_loss: 164.8212 - logcount_predictions_loss: 0.7343 475/3183 [===>..........................] - ETA: 1:15 - loss: 168.7326 - 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[===>..........................] - ETA: 1:14 - loss: 168.5868 - logits_profile_predictions_loss: 164.7039 - logcount_predictions_loss: 0.7327 491/3183 [===>..........................] - ETA: 1:14 - loss: 168.5749 - logits_profile_predictions_loss: 164.6917 - logcount_predictions_loss: 0.7327 493/3183 [===>..........................] - ETA: 1:14 - loss: 168.5598 - logits_profile_predictions_loss: 164.6775 - logcount_predictions_loss: 0.7325 495/3183 [===>..........................] - ETA: 1:14 - loss: 168.5890 - logits_profile_predictions_loss: 164.7133 - logcount_predictions_loss: 0.7313 497/3183 [===>..........................] - ETA: 1:14 - loss: 168.5402 - logits_profile_predictions_loss: 164.6644 - logcount_predictions_loss: 0.7313 499/3183 [===>..........................] - ETA: 1:14 - loss: 168.5446 - logits_profile_predictions_loss: 164.6718 - logcount_predictions_loss: 0.7307 501/3183 [===>..........................] - ETA: 1:14 - loss: 168.5164 - 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[===>..........................] - ETA: 1:14 - loss: 168.6054 - logits_profile_predictions_loss: 164.7592 - logcount_predictions_loss: 0.7257 517/3183 [===>..........................] - ETA: 1:14 - loss: 168.6293 - logits_profile_predictions_loss: 164.7890 - logcount_predictions_loss: 0.7246 519/3183 [===>..........................] - ETA: 1:13 - loss: 168.6246 - logits_profile_predictions_loss: 164.7875 - logcount_predictions_loss: 0.7240 521/3183 [===>..........................] - ETA: 1:13 - loss: 168.5831 - logits_profile_predictions_loss: 164.7447 - logcount_predictions_loss: 0.7243 523/3183 [===>..........................] - ETA: 1:13 - loss: 168.5766 - logits_profile_predictions_loss: 164.7411 - logcount_predictions_loss: 0.7237 525/3183 [===>..........................] - ETA: 1:13 - loss: 168.5577 - logits_profile_predictions_loss: 164.7238 - logcount_predictions_loss: 0.7234 527/3183 [===>..........................] - ETA: 1:13 - loss: 168.5285 - 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[====>.........................] - ETA: 1:13 - loss: 168.5083 - logits_profile_predictions_loss: 164.6908 - logcount_predictions_loss: 0.7203 543/3183 [====>.........................] - ETA: 1:13 - loss: 168.4810 - logits_profile_predictions_loss: 164.6671 - logcount_predictions_loss: 0.7196 545/3183 [====>.........................] - ETA: 1:13 - loss: 168.4646 - logits_profile_predictions_loss: 164.6566 - logcount_predictions_loss: 0.7185 547/3183 [====>.........................] - ETA: 1:13 - loss: 168.4212 - logits_profile_predictions_loss: 164.6165 - logcount_predictions_loss: 0.7179 549/3183 [====>.........................] - ETA: 1:13 - loss: 168.4053 - logits_profile_predictions_loss: 164.6007 - logcount_predictions_loss: 0.7179 551/3183 [====>.........................] - ETA: 1:13 - loss: 168.3757 - logits_profile_predictions_loss: 164.5698 - logcount_predictions_loss: 0.7181 553/3183 [====>.........................] - ETA: 1:12 - loss: 168.3652 - 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[====>.........................] - ETA: 1:12 - loss: 168.2883 - logits_profile_predictions_loss: 164.4940 - logcount_predictions_loss: 0.7159 569/3183 [====>.........................] - ETA: 1:12 - loss: 168.2769 - logits_profile_predictions_loss: 164.4850 - logcount_predictions_loss: 0.7155 571/3183 [====>.........................] - ETA: 1:12 - loss: 168.2891 - logits_profile_predictions_loss: 164.4991 - logcount_predictions_loss: 0.7151 573/3183 [====>.........................] - ETA: 1:12 - loss: 168.2715 - logits_profile_predictions_loss: 164.4799 - logcount_predictions_loss: 0.7154 575/3183 [====>.........................] - ETA: 1:12 - loss: 168.2579 - logits_profile_predictions_loss: 164.4685 - logcount_predictions_loss: 0.7150 577/3183 [====>.........................] - ETA: 1:12 - loss: 168.2630 - logits_profile_predictions_loss: 164.4752 - logcount_predictions_loss: 0.7147 579/3183 [====>.........................] - ETA: 1:12 - loss: 168.2489 - 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[====>.........................] - ETA: 1:11 - loss: 168.2719 - logits_profile_predictions_loss: 164.5040 - logcount_predictions_loss: 0.7110 595/3183 [====>.........................] - ETA: 1:11 - loss: 168.2773 - logits_profile_predictions_loss: 164.5066 - logcount_predictions_loss: 0.7115 597/3183 [====>.........................] - ETA: 1:11 - loss: 168.2372 - logits_profile_predictions_loss: 164.4702 - logcount_predictions_loss: 0.7108 599/3183 [====>.........................] - ETA: 1:11 - loss: 168.2482 - logits_profile_predictions_loss: 164.4843 - logcount_predictions_loss: 0.7102 601/3183 [====>.........................] - ETA: 1:11 - loss: 168.2306 - logits_profile_predictions_loss: 164.4675 - logcount_predictions_loss: 0.7101 603/3183 [====>.........................] - ETA: 1:11 - loss: 168.2178 - logits_profile_predictions_loss: 164.4587 - logcount_predictions_loss: 0.7093 605/3183 [====>.........................] - ETA: 1:11 - loss: 168.1430 - logits_profile_predictions_loss: 164.3840 - logcount_predictions_loss: 0.7093 607/3183 [====>.........................] - ETA: 1:11 - loss: 168.1414 - logits_profile_predictions_loss: 164.3822 - logcount_predictions_loss: 0.7093 609/3183 [====>.........................] - ETA: 1:11 - loss: 168.1169 - logits_profile_predictions_loss: 164.3595 - logcount_predictions_loss: 0.7090 611/3183 [====>.........................] - ETA: 1:11 - loss: 168.0951 - logits_profile_predictions_loss: 164.3384 - logcount_predictions_loss: 0.7088 613/3183 [====>.........................] - ETA: 1:11 - loss: 168.1093 - logits_profile_predictions_loss: 164.3563 - logcount_predictions_loss: 0.7081 615/3183 [====>.........................] - ETA: 1:11 - loss: 168.1087 - logits_profile_predictions_loss: 164.3566 - logcount_predictions_loss: 0.7080 617/3183 [====>.........................] - ETA: 1:11 - loss: 168.1093 - logits_profile_predictions_loss: 164.3604 - logcount_predictions_loss: 0.7074 619/3183 [====>.........................] - ETA: 1:11 - loss: 168.0955 - logits_profile_predictions_loss: 164.3487 - logcount_predictions_loss: 0.7070 621/3183 [====>.........................] - ETA: 1:10 - loss: 168.0986 - logits_profile_predictions_loss: 164.3541 - logcount_predictions_loss: 0.7065 623/3183 [====>.........................] - ETA: 1:10 - loss: 168.1090 - logits_profile_predictions_loss: 164.3681 - logcount_predictions_loss: 0.7059 625/3183 [====>.........................] - ETA: 1:10 - loss: 168.0719 - logits_profile_predictions_loss: 164.3340 - logcount_predictions_loss: 0.7053 627/3183 [====>.........................] - ETA: 1:10 - loss: 168.1067 - logits_profile_predictions_loss: 164.3717 - logcount_predictions_loss: 0.7048 629/3183 [====>.........................] - ETA: 1:10 - loss: 168.1288 - logits_profile_predictions_loss: 164.3949 - logcount_predictions_loss: 0.7045 631/3183 [====>.........................] - ETA: 1:10 - loss: 168.0957 - 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[=====>........................] - ETA: 1:10 - loss: 168.0238 - logits_profile_predictions_loss: 164.2984 - logcount_predictions_loss: 0.7029 647/3183 [=====>........................] - ETA: 1:10 - loss: 168.0378 - logits_profile_predictions_loss: 164.3158 - logcount_predictions_loss: 0.7023 649/3183 [=====>........................] - ETA: 1:10 - loss: 168.0350 - logits_profile_predictions_loss: 164.3149 - logcount_predictions_loss: 0.7019 651/3183 [=====>........................] - ETA: 1:10 - loss: 168.0175 - logits_profile_predictions_loss: 164.2995 - logcount_predictions_loss: 0.7015 653/3183 [=====>........................] - ETA: 1:10 - loss: 168.0118 - logits_profile_predictions_loss: 164.2943 - logcount_predictions_loss: 0.7014 655/3183 [=====>........................] - ETA: 1:09 - loss: 168.0100 - logits_profile_predictions_loss: 164.2943 - logcount_predictions_loss: 0.7011 657/3183 [=====>........................] - ETA: 1:09 - loss: 167.9937 - 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162.0702 - logcount_predictions_loss: 0.6105 3102/3183 [============================>.] - ETA: 2s - loss: 165.3038 - logits_profile_predictions_loss: 162.0682 - logcount_predictions_loss: 0.6105 3104/3183 [============================>.] - ETA: 2s - loss: 165.2998 - logits_profile_predictions_loss: 162.0641 - logcount_predictions_loss: 0.6105 3106/3183 [============================>.] - ETA: 2s - loss: 165.2974 - logits_profile_predictions_loss: 162.0620 - logcount_predictions_loss: 0.6105 3108/3183 [============================>.] - ETA: 2s - loss: 165.2959 - logits_profile_predictions_loss: 162.0606 - logcount_predictions_loss: 0.6104 3110/3183 [============================>.] - ETA: 2s - loss: 165.2947 - logits_profile_predictions_loss: 162.0595 - logcount_predictions_loss: 0.6104 3112/3183 [============================>.] - ETA: 1s - loss: 165.2956 - logits_profile_predictions_loss: 162.0602 - logcount_predictions_loss: 0.6105 3114/3183 [============================>.] - ETA: 1s - 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3128/3183 [============================>.] - ETA: 1s - loss: 165.2863 - logits_profile_predictions_loss: 162.0520 - logcount_predictions_loss: 0.6102 3130/3183 [============================>.] - ETA: 1s - loss: 165.2760 - logits_profile_predictions_loss: 162.0418 - logcount_predictions_loss: 0.6102 3132/3183 [============================>.] - ETA: 1s - loss: 165.2712 - logits_profile_predictions_loss: 162.0378 - logcount_predictions_loss: 0.6101 3134/3183 [============================>.] - ETA: 1s - loss: 165.2708 - logits_profile_predictions_loss: 162.0375 - logcount_predictions_loss: 0.6101 3136/3183 [============================>.] - ETA: 1s - loss: 165.2693 - logits_profile_predictions_loss: 162.0363 - logcount_predictions_loss: 0.6100 3138/3183 [============================>.] - ETA: 1s - loss: 165.2612 - logits_profile_predictions_loss: 162.0286 - logcount_predictions_loss: 0.6099 3140/3183 [============================>.] - ETA: 1s - loss: 165.2621 - 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[============================>.] - ETA: 0s - loss: 165.2551 - logits_profile_predictions_loss: 162.0259 - logcount_predictions_loss: 0.6093 3156/3183 [============================>.] - ETA: 0s - loss: 165.2564 - logits_profile_predictions_loss: 162.0277 - logcount_predictions_loss: 0.6092 3158/3183 [============================>.] - ETA: 0s - loss: 165.2556 - logits_profile_predictions_loss: 162.0272 - logcount_predictions_loss: 0.6091 3160/3183 [============================>.] - ETA: 0s - loss: 165.2599 - logits_profile_predictions_loss: 162.0317 - logcount_predictions_loss: 0.6091 3162/3183 [============================>.] - ETA: 0s - loss: 165.2551 - logits_profile_predictions_loss: 162.0267 - logcount_predictions_loss: 0.6091 3164/3183 [============================>.] - ETA: 0s - loss: 165.2554 - logits_profile_predictions_loss: 162.0273 - logcount_predictions_loss: 0.6091 3166/3183 [============================>.] - ETA: 0s - loss: 165.2572 - logits_profile_predictions_loss: 162.0290 - logcount_predictions_loss: 0.6091 3168/3183 [============================>.] - ETA: 0s - loss: 165.2571 - logits_profile_predictions_loss: 162.0290 - logcount_predictions_loss: 0.6091 3170/3183 [============================>.] - ETA: 0s - loss: 165.2571 - logits_profile_predictions_loss: 162.0290 - logcount_predictions_loss: 0.6091 3172/3183 [============================>.] - ETA: 0s - loss: 165.2602 - logits_profile_predictions_loss: 162.0321 - logcount_predictions_loss: 0.6091 3174/3183 [============================>.] - ETA: 0s - loss: 165.2569 - logits_profile_predictions_loss: 162.0291 - logcount_predictions_loss: 0.6090 3176/3183 [============================>.] - ETA: 0s - loss: 165.2561 - logits_profile_predictions_loss: 162.0286 - logcount_predictions_loss: 0.6089 3178/3183 [============================>.] - ETA: 0s - loss: 165.2540 - logits_profile_predictions_loss: 162.0266 - logcount_predictions_loss: 0.6089 3180/3183 [============================>.] - ETA: 0s - loss: 165.2487 - logits_profile_predictions_loss: 162.0217 - logcount_predictions_loss: 0.6089 3182/3183 [============================>.] - ETA: 0s - loss: 165.2443 - logits_profile_predictions_loss: 162.0175 - logcount_predictions_loss: 0.6088 Epoch 1: val_loss improved from inf to 165.89578, saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 359s 32ms/step - loss: 165.2470 - logits_profile_predictions_loss: 162.0201 - logcount_predictions_loss: 0.6089 - val_loss: 165.8958 - val_logits_profile_predictions_loss: 163.7924 - val_logcount_predictions_loss: 0.3968 Epoch 2/50 1/3183 [..............................] - ETA: 2:23 - loss: 165.6507 - logits_profile_predictions_loss: 162.7215 - logcount_predictions_loss: 0.5527 3/3183 [..............................] - ETA: 1:41 - loss: 160.8862 - logits_profile_predictions_loss: 157.6047 - logcount_predictions_loss: 0.6192 5/3183 [..............................] - ETA: 1:40 - loss: 163.8601 - logits_profile_predictions_loss: 160.5796 - logcount_predictions_loss: 0.6190 7/3183 [..............................] - ETA: 1:40 - loss: 162.1912 - logits_profile_predictions_loss: 159.1189 - logcount_predictions_loss: 0.5797 9/3183 [..............................] - ETA: 1:38 - loss: 163.9155 - logits_profile_predictions_loss: 161.0085 - logcount_predictions_loss: 0.5485 11/3183 [..............................] - ETA: 1:36 - loss: 163.0317 - logits_profile_predictions_loss: 160.0339 - logcount_predictions_loss: 0.5656 13/3183 [..............................] - ETA: 1:34 - loss: 163.6758 - logits_profile_predictions_loss: 160.5442 - logcount_predictions_loss: 0.5909 15/3183 [..............................] - ETA: 1:33 - loss: 164.9370 - logits_profile_predictions_loss: 161.9128 - logcount_predictions_loss: 0.5706 17/3183 [..............................] - ETA: 1:32 - loss: 164.1101 - logits_profile_predictions_loss: 160.9880 - logcount_predictions_loss: 0.5891 19/3183 [..............................] - ETA: 1:31 - loss: 164.9443 - logits_profile_predictions_loss: 161.8535 - logcount_predictions_loss: 0.5832 21/3183 [..............................] - ETA: 1:31 - loss: 164.5450 - logits_profile_predictions_loss: 161.4868 - logcount_predictions_loss: 0.5770 23/3183 [..............................] - ETA: 1:30 - loss: 165.2242 - logits_profile_predictions_loss: 162.2933 - logcount_predictions_loss: 0.5530 25/3183 [..............................] - ETA: 1:30 - loss: 165.5442 - logits_profile_predictions_loss: 162.5925 - logcount_predictions_loss: 0.5569 27/3183 [..............................] - ETA: 1:30 - loss: 165.2687 - logits_profile_predictions_loss: 162.3259 - logcount_predictions_loss: 0.5552 29/3183 [..............................] - ETA: 1:29 - loss: 165.5235 - logits_profile_predictions_loss: 162.5266 - logcount_predictions_loss: 0.5654 31/3183 [..............................] - ETA: 1:29 - loss: 165.9237 - logits_profile_predictions_loss: 162.9469 - logcount_predictions_loss: 0.5617 33/3183 [..............................] - ETA: 1:29 - loss: 165.6846 - logits_profile_predictions_loss: 162.7121 - logcount_predictions_loss: 0.5608 35/3183 [..............................] - ETA: 1:28 - loss: 164.9716 - logits_profile_predictions_loss: 161.9529 - logcount_predictions_loss: 0.5696 37/3183 [..............................] - ETA: 1:28 - loss: 164.2585 - logits_profile_predictions_loss: 161.2046 - logcount_predictions_loss: 0.5762 39/3183 [..............................] - ETA: 1:28 - loss: 164.3993 - logits_profile_predictions_loss: 161.3097 - logcount_predictions_loss: 0.5829 41/3183 [..............................] - ETA: 1:28 - loss: 164.7682 - logits_profile_predictions_loss: 161.7063 - logcount_predictions_loss: 0.5777 43/3183 [..............................] - ETA: 1:28 - loss: 164.6562 - logits_profile_predictions_loss: 161.5935 - logcount_predictions_loss: 0.5779 45/3183 [..............................] - ETA: 1:28 - loss: 164.8141 - logits_profile_predictions_loss: 161.7696 - logcount_predictions_loss: 0.5744 47/3183 [..............................] - ETA: 1:27 - loss: 165.1309 - logits_profile_predictions_loss: 162.0756 - logcount_predictions_loss: 0.5765 49/3183 [..............................] - ETA: 1:27 - loss: 164.8885 - logits_profile_predictions_loss: 161.8045 - logcount_predictions_loss: 0.5819 51/3183 [..............................] - ETA: 1:27 - loss: 164.9561 - logits_profile_predictions_loss: 161.8833 - logcount_predictions_loss: 0.5798 53/3183 [..............................] - ETA: 1:27 - loss: 165.0815 - logits_profile_predictions_loss: 162.0105 - logcount_predictions_loss: 0.5794 55/3183 [..............................] - ETA: 1:27 - loss: 165.0292 - logits_profile_predictions_loss: 161.9770 - logcount_predictions_loss: 0.5759 57/3183 [..............................] - ETA: 1:27 - loss: 164.9794 - logits_profile_predictions_loss: 161.9567 - logcount_predictions_loss: 0.5703 59/3183 [..............................] - ETA: 1:27 - loss: 164.8853 - logits_profile_predictions_loss: 161.8288 - logcount_predictions_loss: 0.5767 61/3183 [..............................] - ETA: 1:27 - loss: 164.7774 - logits_profile_predictions_loss: 161.7181 - logcount_predictions_loss: 0.5772 63/3183 [..............................] - ETA: 1:26 - loss: 164.5797 - logits_profile_predictions_loss: 161.5295 - logcount_predictions_loss: 0.5755 65/3183 [..............................] - ETA: 1:26 - loss: 164.4550 - logits_profile_predictions_loss: 161.4222 - logcount_predictions_loss: 0.5722 67/3183 [..............................] - ETA: 1:26 - loss: 164.4393 - logits_profile_predictions_loss: 161.3965 - logcount_predictions_loss: 0.5741 69/3183 [..............................] - ETA: 1:26 - loss: 164.1178 - logits_profile_predictions_loss: 161.0653 - logcount_predictions_loss: 0.5759 71/3183 [..............................] - ETA: 1:26 - loss: 164.0134 - logits_profile_predictions_loss: 160.9633 - logcount_predictions_loss: 0.5755 73/3183 [..............................] - ETA: 1:26 - loss: 164.1825 - logits_profile_predictions_loss: 161.1612 - logcount_predictions_loss: 0.5700 75/3183 [..............................] - ETA: 1:26 - loss: 163.9022 - logits_profile_predictions_loss: 160.8596 - logcount_predictions_loss: 0.5741 77/3183 [..............................] - ETA: 1:26 - loss: 163.6745 - logits_profile_predictions_loss: 160.6518 - logcount_predictions_loss: 0.5703 79/3183 [..............................] - ETA: 1:26 - loss: 163.5638 - logits_profile_predictions_loss: 160.5274 - logcount_predictions_loss: 0.5729 81/3183 [..............................] - ETA: 1:26 - loss: 163.6536 - logits_profile_predictions_loss: 160.6181 - logcount_predictions_loss: 0.5727 83/3183 [..............................] - ETA: 1:26 - loss: 163.6630 - logits_profile_predictions_loss: 160.6341 - logcount_predictions_loss: 0.5715 85/3183 [..............................] - ETA: 1:26 - loss: 163.7631 - logits_profile_predictions_loss: 160.7519 - logcount_predictions_loss: 0.5682 87/3183 [..............................] - ETA: 1:26 - loss: 163.7471 - logits_profile_predictions_loss: 160.7613 - logcount_predictions_loss: 0.5634 89/3183 [..............................] - ETA: 1:25 - loss: 163.8093 - logits_profile_predictions_loss: 160.8391 - logcount_predictions_loss: 0.5604 91/3183 [..............................] - ETA: 1:25 - loss: 163.7758 - logits_profile_predictions_loss: 160.8105 - logcount_predictions_loss: 0.5595 93/3183 [..............................] - ETA: 1:25 - loss: 163.8049 - logits_profile_predictions_loss: 160.8295 - logcount_predictions_loss: 0.5614 95/3183 [..............................] - ETA: 1:25 - loss: 163.6832 - logits_profile_predictions_loss: 160.7029 - logcount_predictions_loss: 0.5623 97/3183 [..............................] - ETA: 1:25 - loss: 163.8411 - logits_profile_predictions_loss: 160.8674 - logcount_predictions_loss: 0.5611 99/3183 [..............................] - ETA: 1:25 - loss: 163.9164 - logits_profile_predictions_loss: 160.9642 - logcount_predictions_loss: 0.5570 101/3183 [..............................] - ETA: 1:25 - loss: 163.8548 - logits_profile_predictions_loss: 160.9177 - logcount_predictions_loss: 0.5542 103/3183 [..............................] - ETA: 1:25 - loss: 163.8928 - logits_profile_predictions_loss: 160.9470 - logcount_predictions_loss: 0.5558 105/3183 [..............................] - ETA: 1:25 - loss: 164.1076 - logits_profile_predictions_loss: 161.1730 - logcount_predictions_loss: 0.5537 107/3183 [>.............................] - ETA: 1:25 - loss: 164.0880 - logits_profile_predictions_loss: 161.1540 - logcount_predictions_loss: 0.5536 109/3183 [>.............................] - ETA: 1:25 - loss: 164.0514 - logits_profile_predictions_loss: 161.1315 - logcount_predictions_loss: 0.5509 111/3183 [>.............................] - ETA: 1:25 - loss: 163.9626 - logits_profile_predictions_loss: 161.0464 - logcount_predictions_loss: 0.5502 113/3183 [>.............................] - ETA: 1:25 - loss: 163.9827 - logits_profile_predictions_loss: 161.0735 - logcount_predictions_loss: 0.5489 115/3183 [>.............................] - ETA: 1:25 - loss: 164.0592 - logits_profile_predictions_loss: 161.1540 - logcount_predictions_loss: 0.5482 117/3183 [>.............................] - ETA: 1:24 - loss: 164.0631 - logits_profile_predictions_loss: 161.1649 - logcount_predictions_loss: 0.5468 119/3183 [>.............................] - ETA: 1:24 - loss: 163.9781 - logits_profile_predictions_loss: 161.0711 - logcount_predictions_loss: 0.5485 121/3183 [>.............................] - ETA: 1:24 - loss: 164.0444 - logits_profile_predictions_loss: 161.1333 - logcount_predictions_loss: 0.5492 123/3183 [>.............................] - ETA: 1:24 - loss: 164.1664 - logits_profile_predictions_loss: 161.2521 - logcount_predictions_loss: 0.5499 125/3183 [>.............................] - ETA: 1:24 - loss: 164.0508 - logits_profile_predictions_loss: 161.1335 - logcount_predictions_loss: 0.5504 127/3183 [>.............................] - ETA: 1:24 - loss: 164.0497 - logits_profile_predictions_loss: 161.1324 - logcount_predictions_loss: 0.5504 129/3183 [>.............................] - ETA: 1:24 - loss: 164.1186 - logits_profile_predictions_loss: 161.2100 - logcount_predictions_loss: 0.5488 131/3183 [>.............................] - ETA: 1:24 - loss: 163.9825 - logits_profile_predictions_loss: 161.0776 - logcount_predictions_loss: 0.5481 133/3183 [>.............................] - ETA: 1:24 - loss: 164.0013 - logits_profile_predictions_loss: 161.0936 - logcount_predictions_loss: 0.5486 135/3183 [>.............................] - ETA: 1:24 - loss: 164.1334 - logits_profile_predictions_loss: 161.2221 - logcount_predictions_loss: 0.5493 137/3183 [>.............................] - ETA: 1:24 - loss: 164.0230 - logits_profile_predictions_loss: 161.1153 - logcount_predictions_loss: 0.5486 139/3183 [>.............................] - ETA: 1:24 - loss: 164.0206 - logits_profile_predictions_loss: 161.1102 - logcount_predictions_loss: 0.5491 141/3183 [>.............................] - ETA: 1:24 - loss: 164.0307 - logits_profile_predictions_loss: 161.1324 - logcount_predictions_loss: 0.5468 143/3183 [>.............................] - ETA: 1:24 - loss: 164.0301 - logits_profile_predictions_loss: 161.1327 - logcount_predictions_loss: 0.5467 145/3183 [>.............................] - ETA: 1:24 - loss: 164.0918 - logits_profile_predictions_loss: 161.1938 - logcount_predictions_loss: 0.5468 147/3183 [>.............................] - ETA: 1:23 - loss: 164.0901 - logits_profile_predictions_loss: 161.1950 - logcount_predictions_loss: 0.5462 149/3183 [>.............................] - ETA: 1:23 - loss: 164.1185 - logits_profile_predictions_loss: 161.2312 - logcount_predictions_loss: 0.5448 151/3183 [>.............................] - ETA: 1:23 - loss: 164.0034 - logits_profile_predictions_loss: 161.1247 - logcount_predictions_loss: 0.5431 153/3183 [>.............................] - ETA: 1:23 - loss: 163.8495 - logits_profile_predictions_loss: 160.9647 - logcount_predictions_loss: 0.5443 155/3183 [>.............................] - ETA: 1:23 - loss: 163.8495 - logits_profile_predictions_loss: 160.9500 - logcount_predictions_loss: 0.5471 157/3183 [>.............................] - ETA: 1:23 - loss: 164.0260 - logits_profile_predictions_loss: 161.1210 - logcount_predictions_loss: 0.5481 159/3183 [>.............................] - ETA: 1:23 - loss: 163.9681 - logits_profile_predictions_loss: 161.0720 - logcount_predictions_loss: 0.5464 161/3183 [>.............................] - ETA: 1:23 - loss: 164.0555 - logits_profile_predictions_loss: 161.1544 - logcount_predictions_loss: 0.5474 163/3183 [>.............................] - ETA: 1:23 - loss: 163.9410 - logits_profile_predictions_loss: 161.0481 - logcount_predictions_loss: 0.5458 165/3183 [>.............................] - ETA: 1:23 - loss: 164.1227 - logits_profile_predictions_loss: 161.2267 - logcount_predictions_loss: 0.5464 167/3183 [>.............................] - ETA: 1:23 - loss: 164.1239 - logits_profile_predictions_loss: 161.2216 - logcount_predictions_loss: 0.5476 169/3183 [>.............................] - ETA: 1:23 - loss: 164.1138 - logits_profile_predictions_loss: 161.2157 - logcount_predictions_loss: 0.5468 171/3183 [>.............................] - ETA: 1:23 - loss: 164.0914 - logits_profile_predictions_loss: 161.1872 - logcount_predictions_loss: 0.5480 173/3183 [>.............................] - ETA: 1:23 - loss: 164.0490 - logits_profile_predictions_loss: 161.1482 - logcount_predictions_loss: 0.5473 175/3183 [>.............................] - ETA: 1:23 - loss: 163.9294 - logits_profile_predictions_loss: 161.0260 - logcount_predictions_loss: 0.5478 177/3183 [>.............................] - ETA: 1:22 - loss: 163.8461 - logits_profile_predictions_loss: 160.9404 - logcount_predictions_loss: 0.5482 179/3183 [>.............................] - ETA: 1:22 - loss: 163.8513 - logits_profile_predictions_loss: 160.9448 - logcount_predictions_loss: 0.5484 181/3183 [>.............................] - ETA: 1:22 - loss: 163.9081 - logits_profile_predictions_loss: 160.9975 - logcount_predictions_loss: 0.5492 183/3183 [>.............................] - ETA: 1:22 - loss: 163.7084 - logits_profile_predictions_loss: 160.7934 - logcount_predictions_loss: 0.5500 185/3183 [>.............................] - ETA: 1:22 - loss: 163.7110 - logits_profile_predictions_loss: 160.7947 - logcount_predictions_loss: 0.5502 187/3183 [>.............................] - ETA: 1:22 - loss: 163.6543 - logits_profile_predictions_loss: 160.7346 - logcount_predictions_loss: 0.5509 189/3183 [>.............................] - ETA: 1:22 - loss: 163.5515 - logits_profile_predictions_loss: 160.6227 - logcount_predictions_loss: 0.5526 191/3183 [>.............................] - ETA: 1:22 - loss: 163.4242 - logits_profile_predictions_loss: 160.5039 - logcount_predictions_loss: 0.5510 193/3183 [>.............................] - ETA: 1:22 - loss: 163.4267 - logits_profile_predictions_loss: 160.5108 - logcount_predictions_loss: 0.5502 195/3183 [>.............................] - ETA: 1:22 - loss: 163.5045 - logits_profile_predictions_loss: 160.5942 - logcount_predictions_loss: 0.5491 197/3183 [>.............................] - ETA: 1:22 - loss: 163.5527 - logits_profile_predictions_loss: 160.6488 - logcount_predictions_loss: 0.5479 199/3183 [>.............................] - ETA: 1:22 - loss: 163.5403 - logits_profile_predictions_loss: 160.6358 - logcount_predictions_loss: 0.5480 201/3183 [>.............................] - ETA: 1:22 - loss: 163.5279 - logits_profile_predictions_loss: 160.6314 - logcount_predictions_loss: 0.5465 203/3183 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[===>..........................] - ETA: 1:14 - loss: 163.9904 - logits_profile_predictions_loss: 161.0943 - logcount_predictions_loss: 0.5464 490/3183 [===>..........................] - ETA: 1:14 - loss: 163.9475 - logits_profile_predictions_loss: 161.0496 - logcount_predictions_loss: 0.5467 492/3183 [===>..........................] - ETA: 1:14 - loss: 163.9285 - logits_profile_predictions_loss: 161.0282 - logcount_predictions_loss: 0.5472 494/3183 [===>..........................] - ETA: 1:14 - loss: 163.9343 - logits_profile_predictions_loss: 161.0344 - logcount_predictions_loss: 0.5471 496/3183 [===>..........................] - ETA: 1:14 - loss: 163.9269 - logits_profile_predictions_loss: 161.0277 - logcount_predictions_loss: 0.5470 498/3183 [===>..........................] - ETA: 1:14 - loss: 163.9286 - logits_profile_predictions_loss: 161.0303 - logcount_predictions_loss: 0.5468 500/3183 [===>..........................] - ETA: 1:13 - loss: 163.9384 - 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[===>..........................] - ETA: 1:13 - loss: 163.9307 - logits_profile_predictions_loss: 161.0394 - logcount_predictions_loss: 0.5455 516/3183 [===>..........................] - ETA: 1:13 - loss: 163.9425 - logits_profile_predictions_loss: 161.0510 - logcount_predictions_loss: 0.5455 518/3183 [===>..........................] - ETA: 1:13 - loss: 163.9778 - logits_profile_predictions_loss: 161.0881 - logcount_predictions_loss: 0.5452 520/3183 [===>..........................] - ETA: 1:13 - loss: 164.0007 - logits_profile_predictions_loss: 161.1112 - logcount_predictions_loss: 0.5452 522/3183 [===>..........................] - ETA: 1:13 - loss: 164.0313 - logits_profile_predictions_loss: 161.1433 - logcount_predictions_loss: 0.5449 524/3183 [===>..........................] - ETA: 1:13 - loss: 164.0367 - logits_profile_predictions_loss: 161.1527 - logcount_predictions_loss: 0.5441 526/3183 [===>..........................] - ETA: 1:13 - loss: 164.0742 - 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[====>.........................] - ETA: 1:12 - loss: 163.9797 - logits_profile_predictions_loss: 161.0924 - logcount_predictions_loss: 0.5447 542/3183 [====>.........................] - ETA: 1:12 - loss: 163.9720 - logits_profile_predictions_loss: 161.0857 - logcount_predictions_loss: 0.5445 544/3183 [====>.........................] - ETA: 1:12 - loss: 163.9625 - logits_profile_predictions_loss: 161.0747 - logcount_predictions_loss: 0.5448 546/3183 [====>.........................] - ETA: 1:12 - loss: 163.9580 - logits_profile_predictions_loss: 161.0716 - logcount_predictions_loss: 0.5446 548/3183 [====>.........................] - ETA: 1:12 - loss: 163.9351 - logits_profile_predictions_loss: 161.0486 - logcount_predictions_loss: 0.5446 550/3183 [====>.........................] - ETA: 1:12 - loss: 163.9289 - logits_profile_predictions_loss: 161.0443 - logcount_predictions_loss: 0.5442 552/3183 [====>.........................] - ETA: 1:12 - loss: 163.9291 - 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[====>.........................] - ETA: 1:12 - loss: 163.8672 - logits_profile_predictions_loss: 160.9923 - logcount_predictions_loss: 0.5424 568/3183 [====>.........................] - ETA: 1:12 - loss: 163.9159 - logits_profile_predictions_loss: 161.0424 - logcount_predictions_loss: 0.5421 570/3183 [====>.........................] - ETA: 1:12 - loss: 163.9470 - logits_profile_predictions_loss: 161.0743 - logcount_predictions_loss: 0.5420 572/3183 [====>.........................] - ETA: 1:12 - loss: 163.8990 - logits_profile_predictions_loss: 161.0244 - logcount_predictions_loss: 0.5423 574/3183 [====>.........................] - ETA: 1:12 - loss: 163.8663 - logits_profile_predictions_loss: 160.9894 - logcount_predictions_loss: 0.5428 576/3183 [====>.........................] - ETA: 1:12 - loss: 163.8703 - logits_profile_predictions_loss: 160.9948 - logcount_predictions_loss: 0.5425 578/3183 [====>.........................] - ETA: 1:12 - loss: 163.8816 - 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[====>.........................] - ETA: 1:11 - loss: 163.8238 - logits_profile_predictions_loss: 160.9381 - logcount_predictions_loss: 0.5444 594/3183 [====>.........................] - ETA: 1:11 - loss: 163.7766 - logits_profile_predictions_loss: 160.8893 - logcount_predictions_loss: 0.5448 596/3183 [====>.........................] - ETA: 1:11 - loss: 163.7933 - logits_profile_predictions_loss: 160.9034 - logcount_predictions_loss: 0.5452 598/3183 [====>.........................] - ETA: 1:11 - loss: 163.7911 - logits_profile_predictions_loss: 160.9027 - logcount_predictions_loss: 0.5450 600/3183 [====>.........................] - ETA: 1:11 - loss: 163.7995 - logits_profile_predictions_loss: 160.9086 - logcount_predictions_loss: 0.5454 602/3183 [====>.........................] - ETA: 1:11 - loss: 163.8007 - logits_profile_predictions_loss: 160.9070 - logcount_predictions_loss: 0.5459 604/3183 [====>.........................] - ETA: 1:11 - loss: 163.7593 - 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[====>.........................] - ETA: 1:11 - loss: 163.6621 - logits_profile_predictions_loss: 160.7764 - logcount_predictions_loss: 0.5444 620/3183 [====>.........................] - ETA: 1:11 - loss: 163.6477 - logits_profile_predictions_loss: 160.7605 - logcount_predictions_loss: 0.5447 622/3183 [====>.........................] - ETA: 1:10 - loss: 163.6836 - logits_profile_predictions_loss: 160.7989 - logcount_predictions_loss: 0.5443 624/3183 [====>.........................] - ETA: 1:10 - loss: 163.6792 - logits_profile_predictions_loss: 160.7951 - logcount_predictions_loss: 0.5441 626/3183 [====>.........................] - ETA: 1:10 - loss: 163.6928 - logits_profile_predictions_loss: 160.8092 - logcount_predictions_loss: 0.5440 628/3183 [====>.........................] - ETA: 1:10 - loss: 163.6954 - logits_profile_predictions_loss: 160.8126 - logcount_predictions_loss: 0.5439 630/3183 [====>.........................] - ETA: 1:10 - loss: 163.7044 - 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[=====>........................] - ETA: 1:10 - loss: 163.7476 - logits_profile_predictions_loss: 160.8700 - logcount_predictions_loss: 0.5429 646/3183 [=====>........................] - ETA: 1:10 - loss: 163.7749 - logits_profile_predictions_loss: 160.8976 - logcount_predictions_loss: 0.5429 648/3183 [=====>........................] - ETA: 1:10 - loss: 163.7692 - logits_profile_predictions_loss: 160.8919 - logcount_predictions_loss: 0.5429 650/3183 [=====>........................] - ETA: 1:10 - loss: 163.7623 - logits_profile_predictions_loss: 160.8844 - logcount_predictions_loss: 0.5430 652/3183 [=====>........................] - ETA: 1:10 - loss: 163.7499 - logits_profile_predictions_loss: 160.8719 - logcount_predictions_loss: 0.5430 654/3183 [=====>........................] - ETA: 1:10 - loss: 163.7617 - logits_profile_predictions_loss: 160.8822 - logcount_predictions_loss: 0.5433 656/3183 [=====>........................] - ETA: 1:09 - loss: 163.7736 - 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[=====>........................] - ETA: 1:09 - loss: 163.8054 - logits_profile_predictions_loss: 160.9346 - logcount_predictions_loss: 0.5416 672/3183 [=====>........................] - ETA: 1:09 - loss: 163.8287 - logits_profile_predictions_loss: 160.9594 - logcount_predictions_loss: 0.5413 674/3183 [=====>........................] - ETA: 1:09 - loss: 163.8353 - logits_profile_predictions_loss: 160.9660 - logcount_predictions_loss: 0.5414 676/3183 [=====>........................] - ETA: 1:09 - loss: 163.8543 - logits_profile_predictions_loss: 160.9828 - logcount_predictions_loss: 0.5418 678/3183 [=====>........................] - ETA: 1:09 - loss: 163.8806 - logits_profile_predictions_loss: 161.0103 - logcount_predictions_loss: 0.5415 680/3183 [=====>........................] - ETA: 1:09 - loss: 163.8890 - logits_profile_predictions_loss: 161.0195 - logcount_predictions_loss: 0.5414 682/3183 [=====>........................] - ETA: 1:09 - loss: 163.8944 - 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[=====>........................] - ETA: 1:08 - loss: 163.9605 - logits_profile_predictions_loss: 161.0911 - logcount_predictions_loss: 0.5414 698/3183 [=====>........................] - ETA: 1:08 - loss: 163.9299 - logits_profile_predictions_loss: 161.0610 - logcount_predictions_loss: 0.5413 700/3183 [=====>........................] - ETA: 1:08 - loss: 163.9618 - logits_profile_predictions_loss: 161.0947 - logcount_predictions_loss: 0.5409 702/3183 [=====>........................] - ETA: 1:08 - loss: 163.9810 - logits_profile_predictions_loss: 161.1132 - logcount_predictions_loss: 0.5411 704/3183 [=====>........................] - ETA: 1:08 - loss: 163.9646 - logits_profile_predictions_loss: 161.0952 - logcount_predictions_loss: 0.5414 706/3183 [=====>........................] - ETA: 1:08 - loss: 163.9435 - logits_profile_predictions_loss: 161.0724 - logcount_predictions_loss: 0.5417 708/3183 [=====>........................] - ETA: 1:08 - loss: 163.9249 - 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[=====>........................] - ETA: 1:08 - loss: 163.9352 - logits_profile_predictions_loss: 161.0691 - logcount_predictions_loss: 0.5408 724/3183 [=====>........................] - ETA: 1:08 - loss: 163.9230 - logits_profile_predictions_loss: 161.0544 - logcount_predictions_loss: 0.5412 726/3183 [=====>........................] - ETA: 1:08 - loss: 163.9226 - logits_profile_predictions_loss: 161.0519 - logcount_predictions_loss: 0.5416 728/3183 [=====>........................] - ETA: 1:07 - loss: 163.8646 - logits_profile_predictions_loss: 160.9944 - logcount_predictions_loss: 0.5415 730/3183 [=====>........................] - ETA: 1:07 - loss: 163.8639 - logits_profile_predictions_loss: 160.9954 - logcount_predictions_loss: 0.5412 732/3183 [=====>........................] - ETA: 1:07 - loss: 163.8767 - logits_profile_predictions_loss: 161.0066 - logcount_predictions_loss: 0.5415 734/3183 [=====>........................] - ETA: 1:07 - loss: 163.9207 - 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loss: 163.5809 - logits_profile_predictions_loss: 160.7853 - logcount_predictions_loss: 0.5275 Epoch 2: val_loss improved from 165.89578 to 165.31700, saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 92s 29ms/step - loss: 163.5804 - logits_profile_predictions_loss: 160.7849 - logcount_predictions_loss: 0.5275 - val_loss: 165.3170 - val_logits_profile_predictions_loss: 163.3981 - val_logcount_predictions_loss: 0.3620 Epoch 3/50 1/3183 [..............................] - ETA: 2:25 - loss: 147.5665 - logits_profile_predictions_loss: 145.7968 - logcount_predictions_loss: 0.3339 3/3183 [..............................] - ETA: 1:43 - loss: 163.2347 - logits_profile_predictions_loss: 160.9886 - logcount_predictions_loss: 0.4238 5/3183 [..............................] - ETA: 1:42 - loss: 163.6560 - logits_profile_predictions_loss: 161.4277 - logcount_predictions_loss: 0.4204 7/3183 [..............................] - ETA: 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21/3183 [..............................] - ETA: 1:31 - loss: 160.9392 - logits_profile_predictions_loss: 158.2617 - logcount_predictions_loss: 0.5052 23/3183 [..............................] - ETA: 1:31 - loss: 161.1793 - logits_profile_predictions_loss: 158.5304 - logcount_predictions_loss: 0.4998 25/3183 [..............................] - ETA: 1:30 - loss: 160.6972 - logits_profile_predictions_loss: 158.0078 - logcount_predictions_loss: 0.5074 27/3183 [..............................] - ETA: 1:30 - loss: 161.6397 - logits_profile_predictions_loss: 158.9366 - logcount_predictions_loss: 0.5100 29/3183 [..............................] - ETA: 1:30 - loss: 161.1811 - logits_profile_predictions_loss: 158.4776 - logcount_predictions_loss: 0.5101 31/3183 [..............................] - ETA: 1:29 - loss: 161.3541 - logits_profile_predictions_loss: 158.6711 - logcount_predictions_loss: 0.5062 33/3183 [..............................] - ETA: 1:29 - loss: 161.7467 - 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[..............................] - ETA: 1:28 - loss: 163.0838 - logits_profile_predictions_loss: 160.4193 - logcount_predictions_loss: 0.5027 49/3183 [..............................] - ETA: 1:28 - loss: 163.5314 - logits_profile_predictions_loss: 160.8820 - logcount_predictions_loss: 0.4999 51/3183 [..............................] - ETA: 1:28 - loss: 163.6025 - logits_profile_predictions_loss: 160.9741 - logcount_predictions_loss: 0.4959 53/3183 [..............................] - ETA: 1:28 - loss: 163.7328 - logits_profile_predictions_loss: 161.1219 - logcount_predictions_loss: 0.4926 55/3183 [..............................] - ETA: 1:27 - loss: 163.5939 - logits_profile_predictions_loss: 160.9610 - logcount_predictions_loss: 0.4968 57/3183 [..............................] - ETA: 1:29 - loss: 163.4259 - logits_profile_predictions_loss: 160.7751 - logcount_predictions_loss: 0.5002 59/3183 [..............................] - ETA: 1:28 - loss: 163.7004 - logits_profile_predictions_loss: 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loss: 164.2295 - logits_profile_predictions_loss: 161.5406 - logcount_predictions_loss: 0.5073 75/3183 [..............................] - ETA: 1:27 - loss: 164.2242 - logits_profile_predictions_loss: 161.5287 - logcount_predictions_loss: 0.5086 77/3183 [..............................] - ETA: 1:27 - loss: 164.2983 - logits_profile_predictions_loss: 161.5782 - logcount_predictions_loss: 0.5132 79/3183 [..............................] - ETA: 1:27 - loss: 164.2371 - logits_profile_predictions_loss: 161.5190 - logcount_predictions_loss: 0.5128 81/3183 [..............................] - ETA: 1:27 - loss: 164.3622 - logits_profile_predictions_loss: 161.6535 - logcount_predictions_loss: 0.5111 83/3183 [..............................] - ETA: 1:27 - loss: 164.3326 - logits_profile_predictions_loss: 161.6079 - logcount_predictions_loss: 0.5141 85/3183 [..............................] - ETA: 1:27 - loss: 164.1818 - logits_profile_predictions_loss: 161.4529 - logcount_predictions_loss: 0.5149 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logits_profile_predictions_loss: 161.0945 - logcount_predictions_loss: 0.5117 101/3183 [..............................] - ETA: 1:26 - loss: 163.6448 - logits_profile_predictions_loss: 160.9218 - logcount_predictions_loss: 0.5138 103/3183 [..............................] - ETA: 1:26 - loss: 163.4953 - logits_profile_predictions_loss: 160.7658 - logcount_predictions_loss: 0.5150 105/3183 [..............................] - ETA: 1:26 - loss: 163.5720 - logits_profile_predictions_loss: 160.8439 - logcount_predictions_loss: 0.5147 107/3183 [>.............................] - ETA: 1:26 - loss: 163.1239 - logits_profile_predictions_loss: 160.3651 - logcount_predictions_loss: 0.5205 109/3183 [>.............................] - ETA: 1:26 - loss: 163.2279 - logits_profile_predictions_loss: 160.4576 - logcount_predictions_loss: 0.5227 111/3183 [>.............................] - ETA: 1:25 - loss: 163.4650 - logits_profile_predictions_loss: 160.7067 - logcount_predictions_loss: 0.5204 113/3183 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3: val_loss improved from 165.31700 to 165.02791, saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 92s 29ms/step - loss: 163.1474 - logits_profile_predictions_loss: 160.5579 - logcount_predictions_loss: 0.4886 - val_loss: 165.0279 - val_logits_profile_predictions_loss: 163.2296 - val_logcount_predictions_loss: 0.3393 Epoch 4/50 1/3183 [..............................] - ETA: 2:23 - loss: 174.3207 - logits_profile_predictions_loss: 172.2505 - logcount_predictions_loss: 0.3906 3/3183 [..............................] - ETA: 1:40 - loss: 170.1480 - logits_profile_predictions_loss: 167.0417 - logcount_predictions_loss: 0.5861 5/3183 [..............................] - ETA: 1:41 - loss: 172.6712 - logits_profile_predictions_loss: 169.8995 - logcount_predictions_loss: 0.5230 7/3183 [..............................] - ETA: 1:41 - loss: 170.8777 - logits_profile_predictions_loss: 167.8447 - logcount_predictions_loss: 0.5723 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[..............................] - ETA: 1:32 - loss: 162.5990 - logits_profile_predictions_loss: 160.0276 - logcount_predictions_loss: 0.4852 37/3183 [..............................] - ETA: 1:31 - loss: 162.3911 - logits_profile_predictions_loss: 159.8056 - logcount_predictions_loss: 0.4878 39/3183 [..............................] - ETA: 1:31 - loss: 162.2251 - logits_profile_predictions_loss: 159.6593 - logcount_predictions_loss: 0.4841 41/3183 [..............................] - ETA: 1:31 - loss: 162.4684 - logits_profile_predictions_loss: 159.9112 - logcount_predictions_loss: 0.4825 43/3183 [..............................] - ETA: 1:30 - loss: 162.7590 - logits_profile_predictions_loss: 160.1889 - logcount_predictions_loss: 0.4849 45/3183 [..............................] - ETA: 1:30 - loss: 162.5790 - logits_profile_predictions_loss: 160.0050 - logcount_predictions_loss: 0.4857 47/3183 [..............................] - ETA: 1:30 - loss: 162.6011 - logits_profile_predictions_loss: 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[==>...........................] - ETA: 1:19 - loss: 163.1503 - logits_profile_predictions_loss: 160.5744 - logcount_predictions_loss: 0.4860 363/3183 [==>...........................] - ETA: 1:19 - loss: 163.1776 - logits_profile_predictions_loss: 160.6054 - logcount_predictions_loss: 0.4853 365/3183 [==>...........................] - ETA: 1:19 - loss: 163.1347 - logits_profile_predictions_loss: 160.5647 - logcount_predictions_loss: 0.4849 367/3183 [==>...........................] - ETA: 1:19 - loss: 163.1310 - logits_profile_predictions_loss: 160.5623 - logcount_predictions_loss: 0.4847 369/3183 [==>...........................] - ETA: 1:19 - loss: 163.0941 - logits_profile_predictions_loss: 160.5253 - logcount_predictions_loss: 0.4847 371/3183 [==>...........................] - ETA: 1:19 - loss: 163.0527 - logits_profile_predictions_loss: 160.4857 - logcount_predictions_loss: 0.4844 373/3183 [==>...........................] - ETA: 1:18 - loss: 163.1059 - 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[==>...........................] - ETA: 1:18 - loss: 163.0509 - logits_profile_predictions_loss: 160.4897 - logcount_predictions_loss: 0.4833 389/3183 [==>...........................] - ETA: 1:18 - loss: 163.0753 - logits_profile_predictions_loss: 160.5149 - logcount_predictions_loss: 0.4831 391/3183 [==>...........................] - ETA: 1:18 - loss: 163.1405 - logits_profile_predictions_loss: 160.5821 - logcount_predictions_loss: 0.4827 393/3183 [==>...........................] - ETA: 1:18 - loss: 163.1379 - logits_profile_predictions_loss: 160.5775 - logcount_predictions_loss: 0.4831 395/3183 [==>...........................] - ETA: 1:18 - loss: 163.1425 - logits_profile_predictions_loss: 160.5834 - logcount_predictions_loss: 0.4829 397/3183 [==>...........................] - ETA: 1:18 - loss: 163.1637 - logits_profile_predictions_loss: 160.6063 - logcount_predictions_loss: 0.4825 399/3183 [==>...........................] - ETA: 1:18 - loss: 163.2112 - 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[==>...........................] - ETA: 1:17 - loss: 163.1499 - logits_profile_predictions_loss: 160.6002 - logcount_predictions_loss: 0.4811 415/3183 [==>...........................] - ETA: 1:17 - loss: 163.1058 - logits_profile_predictions_loss: 160.5534 - logcount_predictions_loss: 0.4816 417/3183 [==>...........................] - ETA: 1:17 - loss: 163.1058 - logits_profile_predictions_loss: 160.5514 - logcount_predictions_loss: 0.4820 419/3183 [==>...........................] - ETA: 1:17 - loss: 163.0935 - logits_profile_predictions_loss: 160.5372 - logcount_predictions_loss: 0.4823 421/3183 [==>...........................] - ETA: 1:17 - loss: 163.1003 - logits_profile_predictions_loss: 160.5470 - logcount_predictions_loss: 0.4818 423/3183 [==>...........................] - ETA: 1:17 - loss: 163.0746 - logits_profile_predictions_loss: 160.5227 - logcount_predictions_loss: 0.4815 425/3183 [===>..........................] - ETA: 1:17 - loss: 163.0821 - logits_profile_predictions_loss: 160.5313 - logcount_predictions_loss: 0.4813 427/3183 [===>..........................] - ETA: 1:17 - loss: 163.1024 - logits_profile_predictions_loss: 160.5556 - logcount_predictions_loss: 0.4805 429/3183 [===>..........................] - ETA: 1:17 - loss: 163.1270 - logits_profile_predictions_loss: 160.5812 - logcount_predictions_loss: 0.4803 431/3183 [===>..........................] - ETA: 1:17 - loss: 163.1510 - logits_profile_predictions_loss: 160.6076 - logcount_predictions_loss: 0.4799 433/3183 [===>..........................] - ETA: 1:16 - loss: 163.1827 - logits_profile_predictions_loss: 160.6430 - logcount_predictions_loss: 0.4792 435/3183 [===>..........................] - ETA: 1:16 - loss: 163.1452 - logits_profile_predictions_loss: 160.6058 - logcount_predictions_loss: 0.4791 437/3183 [===>..........................] - ETA: 1:16 - loss: 163.1100 - logits_profile_predictions_loss: 160.5723 - logcount_predictions_loss: 0.4788 439/3183 [===>..........................] - ETA: 1:16 - loss: 163.1373 - logits_profile_predictions_loss: 160.6014 - logcount_predictions_loss: 0.4785 441/3183 [===>..........................] - ETA: 1:16 - loss: 163.1011 - logits_profile_predictions_loss: 160.5673 - logcount_predictions_loss: 0.4781 443/3183 [===>..........................] - ETA: 1:16 - loss: 163.1422 - logits_profile_predictions_loss: 160.6108 - logcount_predictions_loss: 0.4776 445/3183 [===>..........................] - ETA: 1:16 - loss: 163.0870 - logits_profile_predictions_loss: 160.5511 - logcount_predictions_loss: 0.4785 447/3183 [===>..........................] - ETA: 1:16 - loss: 163.1596 - logits_profile_predictions_loss: 160.6182 - logcount_predictions_loss: 0.4795 449/3183 [===>..........................] - ETA: 1:16 - loss: 163.1452 - logits_profile_predictions_loss: 160.6058 - logcount_predictions_loss: 0.4791 451/3183 [===>..........................] - ETA: 1:16 - loss: 163.1780 - 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[===>..........................] - ETA: 1:15 - loss: 163.1880 - logits_profile_predictions_loss: 160.6404 - logcount_predictions_loss: 0.4807 467/3183 [===>..........................] - ETA: 1:15 - loss: 163.2309 - logits_profile_predictions_loss: 160.6848 - logcount_predictions_loss: 0.4804 469/3183 [===>..........................] - ETA: 1:15 - loss: 163.2889 - logits_profile_predictions_loss: 160.7456 - logcount_predictions_loss: 0.4799 471/3183 [===>..........................] - ETA: 1:15 - loss: 163.3069 - logits_profile_predictions_loss: 160.7646 - logcount_predictions_loss: 0.4797 473/3183 [===>..........................] - ETA: 1:15 - loss: 163.2518 - logits_profile_predictions_loss: 160.7050 - logcount_predictions_loss: 0.4805 475/3183 [===>..........................] - ETA: 1:15 - loss: 163.2671 - logits_profile_predictions_loss: 160.7203 - logcount_predictions_loss: 0.4805 477/3183 [===>..........................] - ETA: 1:15 - loss: 163.2882 - logits_profile_predictions_loss: 160.7427 - logcount_predictions_loss: 0.4803 479/3183 [===>..........................] - ETA: 1:15 - loss: 163.2695 - logits_profile_predictions_loss: 160.7216 - logcount_predictions_loss: 0.4808 481/3183 [===>..........................] - ETA: 1:15 - loss: 163.2671 - logits_profile_predictions_loss: 160.7128 - logcount_predictions_loss: 0.4820 483/3183 [===>..........................] - ETA: 1:15 - loss: 163.2558 - logits_profile_predictions_loss: 160.6973 - logcount_predictions_loss: 0.4828 485/3183 [===>..........................] - ETA: 1:15 - loss: 163.2495 - logits_profile_predictions_loss: 160.6925 - logcount_predictions_loss: 0.4825 487/3183 [===>..........................] - ETA: 1:15 - loss: 163.2773 - logits_profile_predictions_loss: 160.7194 - logcount_predictions_loss: 0.4826 489/3183 [===>..........................] - ETA: 1:15 - loss: 163.2637 - logits_profile_predictions_loss: 160.7058 - logcount_predictions_loss: 0.4826 491/3183 [===>..........................] - ETA: 1:15 - loss: 163.2764 - logits_profile_predictions_loss: 160.7187 - logcount_predictions_loss: 0.4826 493/3183 [===>..........................] - ETA: 1:15 - loss: 163.2775 - logits_profile_predictions_loss: 160.7232 - logcount_predictions_loss: 0.4820 495/3183 [===>..........................] - ETA: 1:14 - loss: 163.2887 - logits_profile_predictions_loss: 160.7375 - logcount_predictions_loss: 0.4814 497/3183 [===>..........................] - ETA: 1:14 - loss: 163.2965 - logits_profile_predictions_loss: 160.7450 - logcount_predictions_loss: 0.4814 499/3183 [===>..........................] - ETA: 1:14 - loss: 163.2704 - logits_profile_predictions_loss: 160.7188 - logcount_predictions_loss: 0.4814 501/3183 [===>..........................] - ETA: 1:14 - loss: 163.2684 - logits_profile_predictions_loss: 160.7167 - logcount_predictions_loss: 0.4815 503/3183 [===>..........................] - ETA: 1:14 - loss: 163.2387 - 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[===>..........................] - ETA: 1:14 - loss: 163.2440 - logits_profile_predictions_loss: 160.6905 - logcount_predictions_loss: 0.4818 519/3183 [===>..........................] - ETA: 1:14 - loss: 163.2682 - logits_profile_predictions_loss: 160.7175 - logcount_predictions_loss: 0.4813 521/3183 [===>..........................] - ETA: 1:14 - loss: 163.2962 - logits_profile_predictions_loss: 160.7475 - logcount_predictions_loss: 0.4809 523/3183 [===>..........................] - ETA: 1:14 - loss: 163.3084 - logits_profile_predictions_loss: 160.7614 - logcount_predictions_loss: 0.4806 525/3183 [===>..........................] - ETA: 1:14 - loss: 163.3031 - logits_profile_predictions_loss: 160.7562 - logcount_predictions_loss: 0.4806 527/3183 [===>..........................] - ETA: 1:14 - loss: 163.2811 - logits_profile_predictions_loss: 160.7339 - logcount_predictions_loss: 0.4806 529/3183 [===>..........................] - ETA: 1:13 - loss: 163.2629 - 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[====>.........................] - ETA: 1:13 - loss: 163.2482 - logits_profile_predictions_loss: 160.7088 - logcount_predictions_loss: 0.4791 545/3183 [====>.........................] - ETA: 1:13 - loss: 163.2560 - logits_profile_predictions_loss: 160.7164 - logcount_predictions_loss: 0.4792 547/3183 [====>.........................] - ETA: 1:13 - loss: 163.2798 - logits_profile_predictions_loss: 160.7417 - logcount_predictions_loss: 0.4789 549/3183 [====>.........................] - ETA: 1:13 - loss: 163.2700 - logits_profile_predictions_loss: 160.7306 - logcount_predictions_loss: 0.4791 551/3183 [====>.........................] - ETA: 1:13 - loss: 163.2481 - logits_profile_predictions_loss: 160.7067 - logcount_predictions_loss: 0.4795 553/3183 [====>.........................] - ETA: 1:13 - loss: 163.2339 - logits_profile_predictions_loss: 160.6919 - logcount_predictions_loss: 0.4796 555/3183 [====>.........................] - ETA: 1:13 - loss: 163.2439 - 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[====>.........................] - ETA: 1:12 - loss: 163.2435 - logits_profile_predictions_loss: 160.7113 - logcount_predictions_loss: 0.4778 571/3183 [====>.........................] - ETA: 1:12 - loss: 163.2281 - logits_profile_predictions_loss: 160.6941 - logcount_predictions_loss: 0.4781 573/3183 [====>.........................] - ETA: 1:12 - loss: 163.2288 - logits_profile_predictions_loss: 160.6972 - logcount_predictions_loss: 0.4777 575/3183 [====>.........................] - ETA: 1:12 - loss: 163.2130 - logits_profile_predictions_loss: 160.6818 - logcount_predictions_loss: 0.4776 577/3183 [====>.........................] - ETA: 1:12 - loss: 163.2263 - logits_profile_predictions_loss: 160.6957 - logcount_predictions_loss: 0.4775 579/3183 [====>.........................] - ETA: 1:12 - loss: 163.2335 - logits_profile_predictions_loss: 160.7032 - logcount_predictions_loss: 0.4774 581/3183 [====>.........................] - ETA: 1:12 - loss: 163.2248 - 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[====>.........................] - ETA: 1:12 - loss: 163.1622 - logits_profile_predictions_loss: 160.6326 - logcount_predictions_loss: 0.4773 597/3183 [====>.........................] - ETA: 1:11 - loss: 163.1506 - logits_profile_predictions_loss: 160.6188 - logcount_predictions_loss: 0.4777 599/3183 [====>.........................] - ETA: 1:11 - loss: 163.1295 - logits_profile_predictions_loss: 160.5965 - logcount_predictions_loss: 0.4779 601/3183 [====>.........................] - ETA: 1:11 - loss: 163.1056 - logits_profile_predictions_loss: 160.5747 - logcount_predictions_loss: 0.4775 603/3183 [====>.........................] - ETA: 1:11 - loss: 163.1261 - logits_profile_predictions_loss: 160.5983 - logcount_predictions_loss: 0.4770 605/3183 [====>.........................] - ETA: 1:11 - loss: 163.1096 - logits_profile_predictions_loss: 160.5803 - logcount_predictions_loss: 0.4772 607/3183 [====>.........................] - ETA: 1:11 - loss: 163.1155 - 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saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 92s 29ms/step - loss: 162.9361 - logits_profile_predictions_loss: 160.4307 - logcount_predictions_loss: 0.4727 - val_loss: 164.9604 - val_logits_profile_predictions_loss: 163.1966 - val_logcount_predictions_loss: 0.3328 Epoch 5/50 1/3183 [..............................] - ETA: 2:21 - loss: 175.4716 - logits_profile_predictions_loss: 170.4334 - logcount_predictions_loss: 0.9506 3/3183 [..............................] - ETA: 1:40 - loss: 164.4109 - logits_profile_predictions_loss: 161.1295 - logcount_predictions_loss: 0.6191 5/3183 [..............................] - ETA: 1:39 - loss: 164.4704 - logits_profile_predictions_loss: 161.7378 - logcount_predictions_loss: 0.5156 7/3183 [..............................] - ETA: 1:39 - loss: 165.0552 - logits_profile_predictions_loss: 162.5512 - logcount_predictions_loss: 0.4725 9/3183 [..............................] - ETA: 1:39 - loss: 165.1059 - logits_profile_predictions_loss: 162.5158 - logcount_predictions_loss: 0.4887 11/3183 [..............................] - ETA: 1:37 - loss: 163.1004 - logits_profile_predictions_loss: 160.5132 - logcount_predictions_loss: 0.4882 13/3183 [..............................] - ETA: 1:35 - loss: 164.0783 - logits_profile_predictions_loss: 161.5049 - logcount_predictions_loss: 0.4856 15/3183 [..............................] - ETA: 1:34 - loss: 163.6039 - logits_profile_predictions_loss: 161.0501 - logcount_predictions_loss: 0.4818 17/3183 [..............................] - ETA: 1:33 - loss: 163.6124 - logits_profile_predictions_loss: 161.0489 - logcount_predictions_loss: 0.4837 19/3183 [..............................] - ETA: 1:32 - loss: 163.2360 - logits_profile_predictions_loss: 160.6909 - logcount_predictions_loss: 0.4802 21/3183 [..............................] - ETA: 1:31 - loss: 163.0565 - logits_profile_predictions_loss: 160.4842 - logcount_predictions_loss: 0.4853 23/3183 [..............................] - ETA: 1:31 - loss: 162.7190 - logits_profile_predictions_loss: 160.1232 - logcount_predictions_loss: 0.4898 25/3183 [..............................] - ETA: 1:31 - loss: 162.3091 - logits_profile_predictions_loss: 159.6898 - logcount_predictions_loss: 0.4942 27/3183 [..............................] - ETA: 1:30 - loss: 162.8123 - logits_profile_predictions_loss: 160.2153 - logcount_predictions_loss: 0.4900 29/3183 [..............................] - ETA: 1:30 - loss: 163.3423 - logits_profile_predictions_loss: 160.8005 - logcount_predictions_loss: 0.4796 31/3183 [..............................] - ETA: 1:30 - loss: 163.7211 - logits_profile_predictions_loss: 161.2052 - logcount_predictions_loss: 0.4747 33/3183 [..............................] - ETA: 1:29 - loss: 164.4742 - logits_profile_predictions_loss: 161.9784 - logcount_predictions_loss: 0.4709 35/3183 [..............................] - ETA: 1:29 - loss: 164.7575 - logits_profile_predictions_loss: 162.3109 - logcount_predictions_loss: 0.4616 37/3183 [..............................] - ETA: 1:29 - loss: 165.2760 - logits_profile_predictions_loss: 162.8436 - logcount_predictions_loss: 0.4589 39/3183 [..............................] - ETA: 1:29 - loss: 165.2844 - logits_profile_predictions_loss: 162.8915 - logcount_predictions_loss: 0.4515 41/3183 [..............................] - ETA: 1:29 - loss: 165.5477 - logits_profile_predictions_loss: 163.1496 - logcount_predictions_loss: 0.4525 43/3183 [..............................] - ETA: 1:28 - loss: 165.4173 - logits_profile_predictions_loss: 162.9883 - logcount_predictions_loss: 0.4583 45/3183 [..............................] - ETA: 1:28 - loss: 165.6375 - logits_profile_predictions_loss: 163.2133 - logcount_predictions_loss: 0.4574 47/3183 [..............................] - ETA: 1:28 - loss: 165.9081 - logits_profile_predictions_loss: 163.4970 - logcount_predictions_loss: 0.4549 49/3183 [..............................] - ETA: 1:28 - loss: 165.4780 - logits_profile_predictions_loss: 163.0763 - logcount_predictions_loss: 0.4532 51/3183 [..............................] - ETA: 1:28 - loss: 165.3657 - logits_profile_predictions_loss: 162.9355 - logcount_predictions_loss: 0.4585 53/3183 [..............................] - ETA: 1:28 - loss: 165.2344 - logits_profile_predictions_loss: 162.8080 - logcount_predictions_loss: 0.4578 55/3183 [..............................] - ETA: 1:28 - loss: 165.0631 - logits_profile_predictions_loss: 162.6224 - logcount_predictions_loss: 0.4605 57/3183 [..............................] - ETA: 1:28 - loss: 165.1100 - logits_profile_predictions_loss: 162.6739 - logcount_predictions_loss: 0.4596 59/3183 [..............................] - ETA: 1:27 - loss: 164.8697 - logits_profile_predictions_loss: 162.4466 - logcount_predictions_loss: 0.4572 61/3183 [..............................] - ETA: 1:27 - loss: 164.5114 - logits_profile_predictions_loss: 162.0740 - logcount_predictions_loss: 0.4599 63/3183 [..............................] - ETA: 1:27 - loss: 164.5907 - logits_profile_predictions_loss: 162.1499 - logcount_predictions_loss: 0.4605 65/3183 [..............................] - ETA: 1:27 - loss: 164.6955 - logits_profile_predictions_loss: 162.2475 - logcount_predictions_loss: 0.4619 67/3183 [..............................] - ETA: 1:27 - loss: 164.5799 - logits_profile_predictions_loss: 162.1478 - logcount_predictions_loss: 0.4589 69/3183 [..............................] - ETA: 1:27 - loss: 164.8868 - logits_profile_predictions_loss: 162.4583 - logcount_predictions_loss: 0.4582 71/3183 [..............................] - ETA: 1:27 - loss: 164.4930 - logits_profile_predictions_loss: 162.0466 - logcount_predictions_loss: 0.4616 73/3183 [..............................] - ETA: 1:27 - loss: 164.6276 - logits_profile_predictions_loss: 162.1751 - logcount_predictions_loss: 0.4627 75/3183 [..............................] - ETA: 1:27 - loss: 164.4445 - logits_profile_predictions_loss: 162.0063 - logcount_predictions_loss: 0.4601 77/3183 [..............................] - ETA: 1:27 - loss: 164.2374 - logits_profile_predictions_loss: 161.7827 - logcount_predictions_loss: 0.4631 79/3183 [..............................] - ETA: 1:27 - loss: 164.2026 - logits_profile_predictions_loss: 161.7427 - logcount_predictions_loss: 0.4641 81/3183 [..............................] - ETA: 1:26 - loss: 164.2711 - logits_profile_predictions_loss: 161.8032 - logcount_predictions_loss: 0.4656 83/3183 [..............................] - ETA: 1:26 - loss: 164.3019 - logits_profile_predictions_loss: 161.8364 - logcount_predictions_loss: 0.4652 85/3183 [..............................] - ETA: 1:26 - loss: 164.3559 - logits_profile_predictions_loss: 161.9049 - logcount_predictions_loss: 0.4624 87/3183 [..............................] - ETA: 1:26 - loss: 164.2867 - logits_profile_predictions_loss: 161.8145 - logcount_predictions_loss: 0.4665 89/3183 [..............................] - ETA: 1:26 - loss: 164.3208 - logits_profile_predictions_loss: 161.8450 - logcount_predictions_loss: 0.4671 91/3183 [..............................] - ETA: 1:26 - loss: 164.0665 - logits_profile_predictions_loss: 161.5895 - logcount_predictions_loss: 0.4673 93/3183 [..............................] - ETA: 1:26 - loss: 164.0673 - logits_profile_predictions_loss: 161.5868 - logcount_predictions_loss: 0.4680 95/3183 [..............................] - ETA: 1:26 - loss: 164.0230 - logits_profile_predictions_loss: 161.5487 - logcount_predictions_loss: 0.4669 97/3183 [..............................] - ETA: 1:26 - loss: 164.3281 - logits_profile_predictions_loss: 161.8674 - logcount_predictions_loss: 0.4643 99/3183 [..............................] - ETA: 1:26 - loss: 164.3924 - logits_profile_predictions_loss: 161.9196 - logcount_predictions_loss: 0.4666 101/3183 [..............................] - ETA: 1:26 - loss: 164.2521 - logits_profile_predictions_loss: 161.7871 - logcount_predictions_loss: 0.4651 103/3183 [..............................] - ETA: 1:26 - loss: 164.2388 - logits_profile_predictions_loss: 161.7728 - logcount_predictions_loss: 0.4653 105/3183 [..............................] - ETA: 1:25 - loss: 164.2529 - logits_profile_predictions_loss: 161.7869 - logcount_predictions_loss: 0.4653 107/3183 [>.............................] - ETA: 1:25 - loss: 164.2794 - logits_profile_predictions_loss: 161.8318 - logcount_predictions_loss: 0.4618 109/3183 [>.............................] - ETA: 1:25 - loss: 164.1265 - logits_profile_predictions_loss: 161.6777 - logcount_predictions_loss: 0.4620 111/3183 [>.............................] - ETA: 1:25 - loss: 164.0830 - logits_profile_predictions_loss: 161.6330 - logcount_predictions_loss: 0.4623 113/3183 [>.............................] - ETA: 1:25 - loss: 164.0140 - logits_profile_predictions_loss: 161.5553 - logcount_predictions_loss: 0.4639 115/3183 [>.............................] - ETA: 1:25 - loss: 164.0596 - logits_profile_predictions_loss: 161.6092 - logcount_predictions_loss: 0.4624 117/3183 [>.............................] - ETA: 1:25 - loss: 164.1086 - logits_profile_predictions_loss: 161.6604 - logcount_predictions_loss: 0.4619 119/3183 [>.............................] - ETA: 1:25 - loss: 164.2272 - logits_profile_predictions_loss: 161.7781 - logcount_predictions_loss: 0.4621 121/3183 [>.............................] - ETA: 1:25 - loss: 164.2333 - logits_profile_predictions_loss: 161.7903 - logcount_predictions_loss: 0.4610 123/3183 [>.............................] - ETA: 1:25 - loss: 164.3182 - logits_profile_predictions_loss: 161.8793 - logcount_predictions_loss: 0.4602 125/3183 [>.............................] - ETA: 1:25 - loss: 164.1706 - logits_profile_predictions_loss: 161.7212 - logcount_predictions_loss: 0.4622 127/3183 [>.............................] - ETA: 1:25 - loss: 164.1828 - logits_profile_predictions_loss: 161.7235 - logcount_predictions_loss: 0.4640 129/3183 [>.............................] - ETA: 1:25 - loss: 164.0916 - logits_profile_predictions_loss: 161.6282 - logcount_predictions_loss: 0.4648 131/3183 [>.............................] - ETA: 1:25 - loss: 164.0044 - logits_profile_predictions_loss: 161.5360 - logcount_predictions_loss: 0.4657 133/3183 [>.............................] - ETA: 1:25 - loss: 163.9605 - logits_profile_predictions_loss: 161.5012 - logcount_predictions_loss: 0.4640 135/3183 [>.............................] - ETA: 1:25 - loss: 164.0626 - logits_profile_predictions_loss: 161.6166 - logcount_predictions_loss: 0.4615 137/3183 [>.............................] - ETA: 1:25 - loss: 164.1303 - logits_profile_predictions_loss: 161.6872 - logcount_predictions_loss: 0.4610 139/3183 [>.............................] - ETA: 1:25 - loss: 164.1388 - logits_profile_predictions_loss: 161.7075 - logcount_predictions_loss: 0.4587 141/3183 [>.............................] - ETA: 1:25 - loss: 164.1571 - logits_profile_predictions_loss: 161.7320 - logcount_predictions_loss: 0.4576 143/3183 [>.............................] - ETA: 1:24 - loss: 164.2050 - logits_profile_predictions_loss: 161.7812 - logcount_predictions_loss: 0.4573 145/3183 [>.............................] - ETA: 1:24 - loss: 164.2115 - logits_profile_predictions_loss: 161.7792 - logcount_predictions_loss: 0.4589 147/3183 [>.............................] - ETA: 1:24 - loss: 164.1996 - logits_profile_predictions_loss: 161.7760 - logcount_predictions_loss: 0.4573 149/3183 [>.............................] - ETA: 1:24 - loss: 164.1737 - logits_profile_predictions_loss: 161.7533 - logcount_predictions_loss: 0.4567 151/3183 [>.............................] - ETA: 1:24 - loss: 164.1770 - logits_profile_predictions_loss: 161.7549 - logcount_predictions_loss: 0.4570 153/3183 [>.............................] - ETA: 1:24 - loss: 164.2045 - logits_profile_predictions_loss: 161.7856 - logcount_predictions_loss: 0.4564 155/3183 [>.............................] - ETA: 1:24 - loss: 164.1423 - logits_profile_predictions_loss: 161.7260 - logcount_predictions_loss: 0.4559 157/3183 [>.............................] - ETA: 1:24 - loss: 164.2087 - logits_profile_predictions_loss: 161.7926 - logcount_predictions_loss: 0.4559 159/3183 [>.............................] - ETA: 1:24 - loss: 164.1010 - logits_profile_predictions_loss: 161.6926 - logcount_predictions_loss: 0.4544 161/3183 [>.............................] - ETA: 1:24 - loss: 164.1151 - logits_profile_predictions_loss: 161.7148 - logcount_predictions_loss: 0.4529 163/3183 [>.............................] - ETA: 1:24 - loss: 164.0470 - logits_profile_predictions_loss: 161.6432 - logcount_predictions_loss: 0.4535 165/3183 [>.............................] - ETA: 1:24 - loss: 164.0016 - logits_profile_predictions_loss: 161.5899 - logcount_predictions_loss: 0.4550 167/3183 [>.............................] - ETA: 1:24 - loss: 163.8829 - logits_profile_predictions_loss: 161.4666 - logcount_predictions_loss: 0.4559 169/3183 [>.............................] - ETA: 1:24 - loss: 163.9209 - logits_profile_predictions_loss: 161.5002 - logcount_predictions_loss: 0.4567 171/3183 [>.............................] - ETA: 1:24 - loss: 163.9468 - logits_profile_predictions_loss: 161.5205 - logcount_predictions_loss: 0.4578 173/3183 [>.............................] - ETA: 1:23 - loss: 164.0415 - logits_profile_predictions_loss: 161.6223 - logcount_predictions_loss: 0.4565 175/3183 [>.............................] - ETA: 1:23 - loss: 164.0402 - logits_profile_predictions_loss: 161.6236 - logcount_predictions_loss: 0.4560 177/3183 [>.............................] - ETA: 1:23 - loss: 164.0413 - logits_profile_predictions_loss: 161.6311 - logcount_predictions_loss: 0.4548 179/3183 [>.............................] - ETA: 1:23 - loss: 164.0093 - logits_profile_predictions_loss: 161.6019 - logcount_predictions_loss: 0.4542 181/3183 [>.............................] - ETA: 1:23 - loss: 163.9305 - logits_profile_predictions_loss: 161.5135 - logcount_predictions_loss: 0.4560 183/3183 [>.............................] - ETA: 1:23 - loss: 163.9150 - logits_profile_predictions_loss: 161.5018 - logcount_predictions_loss: 0.4553 185/3183 [>.............................] - ETA: 1:23 - loss: 163.8835 - logits_profile_predictions_loss: 161.4684 - logcount_predictions_loss: 0.4557 187/3183 [>.............................] - ETA: 1:23 - loss: 163.8015 - logits_profile_predictions_loss: 161.3888 - logcount_predictions_loss: 0.4552 189/3183 [>.............................] - ETA: 1:23 - loss: 163.7943 - logits_profile_predictions_loss: 161.3828 - logcount_predictions_loss: 0.4550 191/3183 [>.............................] - ETA: 1:23 - loss: 163.7914 - logits_profile_predictions_loss: 161.3776 - logcount_predictions_loss: 0.4554 193/3183 [>.............................] - ETA: 1:23 - loss: 163.6334 - logits_profile_predictions_loss: 161.2153 - logcount_predictions_loss: 0.4563 195/3183 [>.............................] - ETA: 1:23 - loss: 163.6124 - logits_profile_predictions_loss: 161.1999 - logcount_predictions_loss: 0.4552 197/3183 [>.............................] - ETA: 1:23 - loss: 163.6998 - logits_profile_predictions_loss: 161.2922 - logcount_predictions_loss: 0.4543 199/3183 [>.............................] - ETA: 1:23 - loss: 163.7203 - logits_profile_predictions_loss: 161.3047 - logcount_predictions_loss: 0.4558 201/3183 [>.............................] - ETA: 1:23 - loss: 163.7968 - logits_profile_predictions_loss: 161.3811 - logcount_predictions_loss: 0.4558 203/3183 [>.............................] - ETA: 1:23 - loss: 163.7305 - logits_profile_predictions_loss: 161.3164 - logcount_predictions_loss: 0.4555 205/3183 [>.............................] - ETA: 1:23 - loss: 163.7806 - logits_profile_predictions_loss: 161.3701 - logcount_predictions_loss: 0.4548 207/3183 [>.............................] - ETA: 1:22 - loss: 163.8358 - logits_profile_predictions_loss: 161.4232 - logcount_predictions_loss: 0.4552 209/3183 [>.............................] - ETA: 1:22 - loss: 163.8840 - logits_profile_predictions_loss: 161.4795 - logcount_predictions_loss: 0.4537 211/3183 [>.............................] - ETA: 1:22 - loss: 164.0230 - logits_profile_predictions_loss: 161.6238 - logcount_predictions_loss: 0.4527 213/3183 [=>............................] - ETA: 1:22 - loss: 164.1514 - logits_profile_predictions_loss: 161.7557 - logcount_predictions_loss: 0.4520 215/3183 [=>............................] - ETA: 1:22 - loss: 164.1404 - logits_profile_predictions_loss: 161.7495 - logcount_predictions_loss: 0.4511 217/3183 [=>............................] - ETA: 1:22 - loss: 164.1208 - logits_profile_predictions_loss: 161.7309 - logcount_predictions_loss: 0.4509 219/3183 [=>............................] - ETA: 1:22 - loss: 164.1015 - logits_profile_predictions_loss: 161.7147 - logcount_predictions_loss: 0.4504 221/3183 [=>............................] - ETA: 1:22 - loss: 164.1176 - logits_profile_predictions_loss: 161.7355 - logcount_predictions_loss: 0.4495 223/3183 [=>............................] - ETA: 1:22 - loss: 164.0467 - logits_profile_predictions_loss: 161.6656 - logcount_predictions_loss: 0.4493 225/3183 [=>............................] - ETA: 1:22 - loss: 164.0117 - logits_profile_predictions_loss: 161.6326 - logcount_predictions_loss: 0.4489 227/3183 [=>............................] - ETA: 1:22 - loss: 163.9488 - logits_profile_predictions_loss: 161.5696 - logcount_predictions_loss: 0.4489 229/3183 [=>............................] - ETA: 1:22 - loss: 163.9591 - logits_profile_predictions_loss: 161.5705 - logcount_predictions_loss: 0.4507 231/3183 [=>............................] - ETA: 1:22 - loss: 163.9942 - logits_profile_predictions_loss: 161.6045 - logcount_predictions_loss: 0.4509 233/3183 [=>............................] - ETA: 1:22 - loss: 163.9394 - logits_profile_predictions_loss: 161.5426 - logcount_predictions_loss: 0.4522 235/3183 [=>............................] - ETA: 1:22 - loss: 163.9229 - logits_profile_predictions_loss: 161.5295 - logcount_predictions_loss: 0.4516 237/3183 [=>............................] - ETA: 1:21 - loss: 163.9606 - logits_profile_predictions_loss: 161.5639 - logcount_predictions_loss: 0.4522 239/3183 [=>............................] - ETA: 1:21 - loss: 163.9064 - logits_profile_predictions_loss: 161.5048 - logcount_predictions_loss: 0.4531 241/3183 [=>............................] - ETA: 1:21 - loss: 163.8955 - logits_profile_predictions_loss: 161.4874 - logcount_predictions_loss: 0.4544 243/3183 [=>............................] - ETA: 1:21 - loss: 163.8231 - logits_profile_predictions_loss: 161.4155 - logcount_predictions_loss: 0.4543 245/3183 [=>............................] - ETA: 1:21 - loss: 163.8052 - logits_profile_predictions_loss: 161.3918 - logcount_predictions_loss: 0.4554 247/3183 [=>............................] - ETA: 1:21 - loss: 163.8416 - logits_profile_predictions_loss: 161.4328 - logcount_predictions_loss: 0.4545 249/3183 [=>............................] - ETA: 1:21 - loss: 163.9376 - logits_profile_predictions_loss: 161.5288 - logcount_predictions_loss: 0.4545 251/3183 [=>............................] - ETA: 1:21 - loss: 163.9781 - logits_profile_predictions_loss: 161.5751 - logcount_predictions_loss: 0.4534 253/3183 [=>............................] - ETA: 1:21 - loss: 164.0106 - logits_profile_predictions_loss: 161.6079 - logcount_predictions_loss: 0.4533 255/3183 [=>............................] - ETA: 1:21 - loss: 163.9371 - logits_profile_predictions_loss: 161.5349 - logcount_predictions_loss: 0.4533 257/3183 [=>............................] - ETA: 1:21 - loss: 163.9877 - logits_profile_predictions_loss: 161.5788 - logcount_predictions_loss: 0.4545 259/3183 [=>............................] - ETA: 1:21 - loss: 163.9373 - logits_profile_predictions_loss: 161.5270 - logcount_predictions_loss: 0.4548 261/3183 [=>............................] - ETA: 1:21 - loss: 163.8960 - logits_profile_predictions_loss: 161.4842 - logcount_predictions_loss: 0.4550 263/3183 [=>............................] - ETA: 1:21 - loss: 163.8458 - logits_profile_predictions_loss: 161.4335 - logcount_predictions_loss: 0.4552 265/3183 [=>............................] - ETA: 1:21 - loss: 163.8726 - logits_profile_predictions_loss: 161.4565 - logcount_predictions_loss: 0.4559 267/3183 [=>............................] - ETA: 1:21 - loss: 163.8631 - logits_profile_predictions_loss: 161.4461 - logcount_predictions_loss: 0.4560 269/3183 [=>............................] - ETA: 1:20 - loss: 163.8167 - logits_profile_predictions_loss: 161.3988 - logcount_predictions_loss: 0.4562 271/3183 [=>............................] - ETA: 1:20 - loss: 163.7735 - logits_profile_predictions_loss: 161.3522 - logcount_predictions_loss: 0.4569 273/3183 [=>............................] - ETA: 1:20 - loss: 163.8398 - logits_profile_predictions_loss: 161.4201 - logcount_predictions_loss: 0.4565 275/3183 [=>............................] - ETA: 1:20 - loss: 163.8224 - logits_profile_predictions_loss: 161.4011 - logcount_predictions_loss: 0.4568 277/3183 [=>............................] - ETA: 1:20 - loss: 163.7945 - logits_profile_predictions_loss: 161.3719 - logcount_predictions_loss: 0.4571 279/3183 [=>............................] - ETA: 1:20 - loss: 163.7832 - logits_profile_predictions_loss: 161.3628 - logcount_predictions_loss: 0.4567 281/3183 [=>............................] - ETA: 1:20 - loss: 163.7413 - logits_profile_predictions_loss: 161.3200 - logcount_predictions_loss: 0.4568 283/3183 [=>............................] - ETA: 1:20 - loss: 163.6976 - 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[==>...........................] - ETA: 1:18 - loss: 163.6039 - logits_profile_predictions_loss: 161.1690 - logcount_predictions_loss: 0.4594 351/3183 [==>...........................] - ETA: 1:18 - loss: 163.6392 - logits_profile_predictions_loss: 161.2045 - logcount_predictions_loss: 0.4594 353/3183 [==>...........................] - ETA: 1:18 - loss: 163.5808 - logits_profile_predictions_loss: 161.1495 - logcount_predictions_loss: 0.4587 355/3183 [==>...........................] - ETA: 1:18 - loss: 163.5887 - logits_profile_predictions_loss: 161.1600 - logcount_predictions_loss: 0.4582 357/3183 [==>...........................] - ETA: 1:18 - loss: 163.5903 - logits_profile_predictions_loss: 161.1647 - logcount_predictions_loss: 0.4577 359/3183 [==>...........................] - ETA: 1:18 - loss: 163.6682 - logits_profile_predictions_loss: 161.2467 - logcount_predictions_loss: 0.4569 361/3183 [==>...........................] - ETA: 1:18 - loss: 163.6319 - 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[==>...........................] - ETA: 1:18 - loss: 163.7248 - logits_profile_predictions_loss: 161.2950 - logcount_predictions_loss: 0.4585 377/3183 [==>...........................] - ETA: 1:18 - loss: 163.7729 - logits_profile_predictions_loss: 161.3440 - logcount_predictions_loss: 0.4583 379/3183 [==>...........................] - ETA: 1:18 - loss: 163.7594 - logits_profile_predictions_loss: 161.3284 - logcount_predictions_loss: 0.4587 381/3183 [==>...........................] - ETA: 1:18 - loss: 163.8134 - logits_profile_predictions_loss: 161.3835 - logcount_predictions_loss: 0.4585 383/3183 [==>...........................] - ETA: 1:18 - loss: 163.8189 - logits_profile_predictions_loss: 161.3902 - logcount_predictions_loss: 0.4582 385/3183 [==>...........................] - ETA: 1:18 - loss: 163.8084 - logits_profile_predictions_loss: 161.3797 - logcount_predictions_loss: 0.4582 387/3183 [==>...........................] - ETA: 1:18 - loss: 163.7839 - 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[==>...........................] - ETA: 1:17 - loss: 163.7282 - logits_profile_predictions_loss: 161.2989 - logcount_predictions_loss: 0.4584 403/3183 [==>...........................] - ETA: 1:17 - loss: 163.7191 - logits_profile_predictions_loss: 161.2905 - logcount_predictions_loss: 0.4582 405/3183 [==>...........................] - ETA: 1:17 - loss: 163.7000 - logits_profile_predictions_loss: 161.2721 - logcount_predictions_loss: 0.4581 407/3183 [==>...........................] - ETA: 1:17 - loss: 163.7444 - logits_profile_predictions_loss: 161.3170 - logcount_predictions_loss: 0.4580 409/3183 [==>...........................] - ETA: 1:17 - loss: 163.7724 - logits_profile_predictions_loss: 161.3470 - logcount_predictions_loss: 0.4576 411/3183 [==>...........................] - ETA: 1:17 - loss: 163.7947 - logits_profile_predictions_loss: 161.3730 - logcount_predictions_loss: 0.4569 413/3183 [==>...........................] - ETA: 1:17 - loss: 163.7434 - 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[===>..........................] - ETA: 1:16 - loss: 163.8077 - logits_profile_predictions_loss: 161.3792 - logcount_predictions_loss: 0.4582 429/3183 [===>..........................] - ETA: 1:16 - loss: 163.7761 - logits_profile_predictions_loss: 161.3490 - logcount_predictions_loss: 0.4579 431/3183 [===>..........................] - ETA: 1:16 - loss: 163.7670 - logits_profile_predictions_loss: 161.3393 - logcount_predictions_loss: 0.4580 433/3183 [===>..........................] - ETA: 1:16 - loss: 163.7300 - logits_profile_predictions_loss: 161.3010 - logcount_predictions_loss: 0.4583 435/3183 [===>..........................] - ETA: 1:16 - loss: 163.6997 - logits_profile_predictions_loss: 161.2699 - logcount_predictions_loss: 0.4584 437/3183 [===>..........................] - ETA: 1:16 - loss: 163.7485 - logits_profile_predictions_loss: 161.3187 - logcount_predictions_loss: 0.4584 439/3183 [===>..........................] - ETA: 1:16 - loss: 163.7212 - 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[===>..........................] - ETA: 1:16 - loss: 163.7009 - logits_profile_predictions_loss: 161.2691 - logcount_predictions_loss: 0.4588 455/3183 [===>..........................] - ETA: 1:16 - loss: 163.6649 - logits_profile_predictions_loss: 161.2299 - logcount_predictions_loss: 0.4594 457/3183 [===>..........................] - ETA: 1:16 - loss: 163.6612 - logits_profile_predictions_loss: 161.2277 - logcount_predictions_loss: 0.4592 459/3183 [===>..........................] - ETA: 1:15 - loss: 163.6723 - logits_profile_predictions_loss: 161.2374 - logcount_predictions_loss: 0.4594 461/3183 [===>..........................] - ETA: 1:15 - loss: 163.6712 - logits_profile_predictions_loss: 161.2381 - logcount_predictions_loss: 0.4591 463/3183 [===>..........................] - ETA: 1:15 - loss: 163.7002 - logits_profile_predictions_loss: 161.2656 - logcount_predictions_loss: 0.4594 465/3183 [===>..........................] - ETA: 1:15 - loss: 163.6995 - 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[===>..........................] - ETA: 1:15 - loss: 163.6568 - logits_profile_predictions_loss: 161.2206 - logcount_predictions_loss: 0.4597 481/3183 [===>..........................] - ETA: 1:15 - loss: 163.6516 - logits_profile_predictions_loss: 161.2150 - logcount_predictions_loss: 0.4597 483/3183 [===>..........................] - ETA: 1:15 - loss: 163.6546 - logits_profile_predictions_loss: 161.2169 - logcount_predictions_loss: 0.4599 485/3183 [===>..........................] - ETA: 1:15 - loss: 163.6582 - logits_profile_predictions_loss: 161.2209 - logcount_predictions_loss: 0.4599 487/3183 [===>..........................] - ETA: 1:15 - loss: 163.6498 - logits_profile_predictions_loss: 161.2092 - logcount_predictions_loss: 0.4605 489/3183 [===>..........................] - ETA: 1:15 - loss: 163.6596 - logits_profile_predictions_loss: 161.2162 - logcount_predictions_loss: 0.4610 491/3183 [===>..........................] - ETA: 1:15 - loss: 163.6866 - 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[===>..........................] - ETA: 1:14 - loss: 163.7194 - logits_profile_predictions_loss: 161.2559 - logcount_predictions_loss: 0.4648 507/3183 [===>..........................] - ETA: 1:14 - loss: 163.7351 - logits_profile_predictions_loss: 161.2674 - logcount_predictions_loss: 0.4656 509/3183 [===>..........................] - ETA: 1:14 - loss: 163.7303 - logits_profile_predictions_loss: 161.2636 - logcount_predictions_loss: 0.4654 511/3183 [===>..........................] - ETA: 1:14 - loss: 163.7364 - logits_profile_predictions_loss: 161.2647 - logcount_predictions_loss: 0.4664 513/3183 [===>..........................] - ETA: 1:14 - loss: 163.7257 - logits_profile_predictions_loss: 161.2536 - logcount_predictions_loss: 0.4664 515/3183 [===>..........................] - ETA: 1:14 - loss: 163.7205 - logits_profile_predictions_loss: 161.2455 - logcount_predictions_loss: 0.4670 517/3183 [===>..........................] - ETA: 1:14 - loss: 163.7025 - 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loss: 162.7937 - logits_profile_predictions_loss: 160.3448 - logcount_predictions_loss: 0.4621 3108/3183 [============================>.] - ETA: 2s - loss: 162.7946 - logits_profile_predictions_loss: 160.3459 - logcount_predictions_loss: 0.4621 3110/3183 [============================>.] - ETA: 2s - loss: 162.7976 - logits_profile_predictions_loss: 160.3490 - logcount_predictions_loss: 0.4620 3112/3183 [============================>.] - ETA: 1s - loss: 162.7978 - logits_profile_predictions_loss: 160.3492 - logcount_predictions_loss: 0.4620 3114/3183 [============================>.] - ETA: 1s - loss: 162.8026 - logits_profile_predictions_loss: 160.3535 - logcount_predictions_loss: 0.4621 3116/3183 [============================>.] - ETA: 1s - loss: 162.8031 - logits_profile_predictions_loss: 160.3538 - logcount_predictions_loss: 0.4622 3118/3183 [============================>.] - ETA: 1s - loss: 162.8044 - logits_profile_predictions_loss: 160.3549 - logcount_predictions_loss: 0.4622 3120/3183 [============================>.] - ETA: 1s - loss: 162.7986 - logits_profile_predictions_loss: 160.3492 - logcount_predictions_loss: 0.4622 3122/3183 [============================>.] - ETA: 1s - loss: 162.8031 - logits_profile_predictions_loss: 160.3536 - logcount_predictions_loss: 0.4622 3124/3183 [============================>.] - ETA: 1s - loss: 162.8029 - logits_profile_predictions_loss: 160.3533 - logcount_predictions_loss: 0.4622 3126/3183 [============================>.] - ETA: 1s - loss: 162.8059 - logits_profile_predictions_loss: 160.3560 - logcount_predictions_loss: 0.4623 3128/3183 [============================>.] - ETA: 1s - loss: 162.8024 - logits_profile_predictions_loss: 160.3526 - logcount_predictions_loss: 0.4623 3130/3183 [============================>.] - ETA: 1s - loss: 162.8037 - logits_profile_predictions_loss: 160.3541 - logcount_predictions_loss: 0.4622 3132/3183 [============================>.] - ETA: 1s - loss: 162.7974 - logits_profile_predictions_loss: 160.3479 - logcount_predictions_loss: 0.4622 3134/3183 [============================>.] - ETA: 1s - loss: 162.7973 - logits_profile_predictions_loss: 160.3479 - logcount_predictions_loss: 0.4622 3136/3183 [============================>.] - ETA: 1s - loss: 162.7973 - logits_profile_predictions_loss: 160.3477 - logcount_predictions_loss: 0.4622 3138/3183 [============================>.] - ETA: 1s - loss: 162.8014 - logits_profile_predictions_loss: 160.3518 - logcount_predictions_loss: 0.4622 3140/3183 [============================>.] - ETA: 1s - loss: 162.7941 - logits_profile_predictions_loss: 160.3444 - logcount_predictions_loss: 0.4623 3142/3183 [============================>.] - ETA: 1s - loss: 162.7951 - logits_profile_predictions_loss: 160.3457 - logcount_predictions_loss: 0.4622 3144/3183 [============================>.] - ETA: 1s - loss: 162.7883 - logits_profile_predictions_loss: 160.3390 - logcount_predictions_loss: 0.4622 3146/3183 [============================>.] - ETA: 1s - loss: 162.7931 - logits_profile_predictions_loss: 160.3441 - logcount_predictions_loss: 0.4621 3148/3183 [============================>.] - ETA: 0s - loss: 162.7966 - logits_profile_predictions_loss: 160.3478 - logcount_predictions_loss: 0.4621 3150/3183 [============================>.] - ETA: 0s - loss: 162.7865 - logits_profile_predictions_loss: 160.3368 - logcount_predictions_loss: 0.4623 3152/3183 [============================>.] - ETA: 0s - loss: 162.7874 - logits_profile_predictions_loss: 160.3377 - logcount_predictions_loss: 0.4622 3154/3183 [============================>.] - ETA: 0s - loss: 162.7884 - logits_profile_predictions_loss: 160.3382 - logcount_predictions_loss: 0.4623 3156/3183 [============================>.] - ETA: 0s - loss: 162.7892 - logits_profile_predictions_loss: 160.3392 - logcount_predictions_loss: 0.4623 3158/3183 [============================>.] - ETA: 0s - loss: 162.7897 - logits_profile_predictions_loss: 160.3401 - logcount_predictions_loss: 0.4622 3160/3183 [============================>.] - ETA: 0s - loss: 162.7883 - logits_profile_predictions_loss: 160.3386 - logcount_predictions_loss: 0.4623 3162/3183 [============================>.] - ETA: 0s - loss: 162.7924 - logits_profile_predictions_loss: 160.3429 - logcount_predictions_loss: 0.4622 3164/3183 [============================>.] - ETA: 0s - loss: 162.7924 - logits_profile_predictions_loss: 160.3425 - logcount_predictions_loss: 0.4623 3166/3183 [============================>.] - ETA: 0s - loss: 162.7899 - logits_profile_predictions_loss: 160.3403 - logcount_predictions_loss: 0.4622 3168/3183 [============================>.] - ETA: 0s - loss: 162.7906 - logits_profile_predictions_loss: 160.3407 - logcount_predictions_loss: 0.4623 3170/3183 [============================>.] - ETA: 0s - loss: 162.7875 - logits_profile_predictions_loss: 160.3371 - logcount_predictions_loss: 0.4624 3172/3183 [============================>.] - ETA: 0s - loss: 162.7882 - logits_profile_predictions_loss: 160.3374 - logcount_predictions_loss: 0.4624 3174/3183 [============================>.] - ETA: 0s - loss: 162.7903 - logits_profile_predictions_loss: 160.3396 - logcount_predictions_loss: 0.4624 3176/3183 [============================>.] - ETA: 0s - loss: 162.7896 - logits_profile_predictions_loss: 160.3393 - logcount_predictions_loss: 0.4624 3178/3183 [============================>.] - ETA: 0s - loss: 162.7938 - logits_profile_predictions_loss: 160.3433 - logcount_predictions_loss: 0.4624 3180/3183 [============================>.] - ETA: 0s - loss: 162.7993 - logits_profile_predictions_loss: 160.3494 - logcount_predictions_loss: 0.4623 3182/3183 [============================>.] - ETA: 0s - loss: 162.7973 - logits_profile_predictions_loss: 160.3473 - logcount_predictions_loss: 0.4623 Epoch 5: val_loss did not improve from 164.96042  3183/3183 [==============================] - 92s 29ms/step - loss: 162.7962 - logits_profile_predictions_loss: 160.3462 - logcount_predictions_loss: 0.4623 - val_loss: 165.1463 - val_logits_profile_predictions_loss: 163.1153 - val_logcount_predictions_loss: 0.3832 Epoch 6/50 1/3183 [..............................] - ETA: 2:24 - loss: 166.1453 - logits_profile_predictions_loss: 164.3720 - logcount_predictions_loss: 0.3346 3/3183 [..............................] - ETA: 1:41 - loss: 162.0634 - logits_profile_predictions_loss: 159.3873 - logcount_predictions_loss: 0.5049 5/3183 [..............................] - ETA: 1:38 - loss: 165.0760 - logits_profile_predictions_loss: 162.4941 - logcount_predictions_loss: 0.4871 7/3183 [..............................] - ETA: 1:34 - loss: 166.3223 - logits_profile_predictions_loss: 163.5318 - logcount_predictions_loss: 0.5265 9/3183 [..............................] - ETA: 1:32 - loss: 165.3739 - logits_profile_predictions_loss: 162.5564 - logcount_predictions_loss: 0.5316 11/3183 [..............................] - ETA: 1:31 - loss: 164.9195 - logits_profile_predictions_loss: 162.0516 - logcount_predictions_loss: 0.5411 13/3183 [..............................] - ETA: 1:30 - loss: 165.4389 - logits_profile_predictions_loss: 162.6035 - logcount_predictions_loss: 0.5350 15/3183 [..............................] - ETA: 1:30 - loss: 163.6933 - logits_profile_predictions_loss: 160.8503 - logcount_predictions_loss: 0.5364 17/3183 [..............................] - ETA: 1:29 - loss: 164.5679 - logits_profile_predictions_loss: 161.7650 - logcount_predictions_loss: 0.5289 19/3183 [..............................] - ETA: 1:29 - loss: 165.5364 - logits_profile_predictions_loss: 162.7299 - logcount_predictions_loss: 0.5295 21/3183 [..............................] - ETA: 1:29 - loss: 164.9480 - logits_profile_predictions_loss: 162.2511 - logcount_predictions_loss: 0.5089 23/3183 [..............................] - ETA: 1:28 - loss: 164.0371 - logits_profile_predictions_loss: 161.3457 - logcount_predictions_loss: 0.5078 25/3183 [..............................] - ETA: 1:28 - loss: 163.8738 - logits_profile_predictions_loss: 161.1685 - logcount_predictions_loss: 0.5104 27/3183 [..............................] - ETA: 1:28 - loss: 165.1024 - logits_profile_predictions_loss: 162.4470 - logcount_predictions_loss: 0.5010 29/3183 [..............................] - ETA: 1:28 - loss: 165.2374 - logits_profile_predictions_loss: 162.5698 - logcount_predictions_loss: 0.5033 31/3183 [..............................] - ETA: 1:28 - loss: 165.0517 - logits_profile_predictions_loss: 162.3971 - logcount_predictions_loss: 0.5009 33/3183 [..............................] - ETA: 1:27 - loss: 164.9832 - logits_profile_predictions_loss: 162.3217 - logcount_predictions_loss: 0.5022 35/3183 [..............................] - ETA: 1:27 - loss: 164.4122 - logits_profile_predictions_loss: 161.7373 - logcount_predictions_loss: 0.5047 37/3183 [..............................] - ETA: 1:27 - loss: 163.9957 - logits_profile_predictions_loss: 161.3296 - logcount_predictions_loss: 0.5030 39/3183 [..............................] - ETA: 1:27 - loss: 163.9997 - logits_profile_predictions_loss: 161.3812 - logcount_predictions_loss: 0.4940 41/3183 [..............................] - ETA: 1:27 - loss: 163.8898 - logits_profile_predictions_loss: 161.2652 - logcount_predictions_loss: 0.4952 43/3183 [..............................] - ETA: 1:27 - loss: 164.4236 - logits_profile_predictions_loss: 161.8226 - logcount_predictions_loss: 0.4907 45/3183 [..............................] - ETA: 1:27 - loss: 165.1690 - logits_profile_predictions_loss: 162.5840 - logcount_predictions_loss: 0.4877 47/3183 [..............................] - ETA: 1:26 - loss: 164.6619 - logits_profile_predictions_loss: 162.0266 - logcount_predictions_loss: 0.4972 49/3183 [..............................] - ETA: 1:26 - loss: 164.2645 - logits_profile_predictions_loss: 161.6223 - logcount_predictions_loss: 0.4985 51/3183 [..............................] - ETA: 1:26 - loss: 164.0890 - logits_profile_predictions_loss: 161.4503 - logcount_predictions_loss: 0.4979 53/3183 [..............................] - ETA: 1:26 - loss: 163.9821 - logits_profile_predictions_loss: 161.3216 - logcount_predictions_loss: 0.5020 55/3183 [..............................] - ETA: 1:26 - loss: 164.0341 - logits_profile_predictions_loss: 161.3879 - logcount_predictions_loss: 0.4993 57/3183 [..............................] - ETA: 1:26 - loss: 163.8223 - logits_profile_predictions_loss: 161.1501 - logcount_predictions_loss: 0.5042 59/3183 [..............................] - ETA: 1:26 - loss: 163.5871 - logits_profile_predictions_loss: 160.8972 - logcount_predictions_loss: 0.5075 61/3183 [..............................] - ETA: 1:26 - loss: 164.0053 - logits_profile_predictions_loss: 161.3651 - logcount_predictions_loss: 0.4982 63/3183 [..............................] - ETA: 1:26 - loss: 164.0906 - logits_profile_predictions_loss: 161.4563 - logcount_predictions_loss: 0.4970 65/3183 [..............................] - ETA: 1:26 - loss: 164.0940 - logits_profile_predictions_loss: 161.4616 - logcount_predictions_loss: 0.4967 67/3183 [..............................] - ETA: 1:26 - loss: 164.0486 - logits_profile_predictions_loss: 161.4242 - logcount_predictions_loss: 0.4952 69/3183 [..............................] - ETA: 1:26 - loss: 163.8746 - logits_profile_predictions_loss: 161.2514 - logcount_predictions_loss: 0.4949 71/3183 [..............................] - ETA: 1:26 - loss: 163.5926 - logits_profile_predictions_loss: 160.9831 - logcount_predictions_loss: 0.4924 73/3183 [..............................] - ETA: 1:25 - loss: 163.3533 - logits_profile_predictions_loss: 160.7426 - logcount_predictions_loss: 0.4926 75/3183 [..............................] - ETA: 1:25 - loss: 163.2607 - logits_profile_predictions_loss: 160.6368 - logcount_predictions_loss: 0.4951 77/3183 [..............................] - ETA: 1:25 - loss: 163.5854 - logits_profile_predictions_loss: 160.9773 - logcount_predictions_loss: 0.4921 79/3183 [..............................] - ETA: 1:25 - loss: 163.5309 - logits_profile_predictions_loss: 160.9384 - logcount_predictions_loss: 0.4891 81/3183 [..............................] - ETA: 1:25 - loss: 163.4680 - logits_profile_predictions_loss: 160.8871 - logcount_predictions_loss: 0.4870 83/3183 [..............................] - ETA: 1:25 - loss: 163.5439 - logits_profile_predictions_loss: 160.9594 - logcount_predictions_loss: 0.4876 85/3183 [..............................] - ETA: 1:25 - loss: 163.6510 - logits_profile_predictions_loss: 161.0737 - logcount_predictions_loss: 0.4863 87/3183 [..............................] - ETA: 1:25 - loss: 163.4967 - logits_profile_predictions_loss: 160.9105 - logcount_predictions_loss: 0.4880 89/3183 [..............................] - ETA: 1:25 - loss: 163.5855 - logits_profile_predictions_loss: 161.0210 - logcount_predictions_loss: 0.4839 91/3183 [..............................] - ETA: 1:25 - loss: 163.3852 - logits_profile_predictions_loss: 160.7966 - logcount_predictions_loss: 0.4884 93/3183 [..............................] - ETA: 1:25 - loss: 163.5590 - logits_profile_predictions_loss: 160.9680 - logcount_predictions_loss: 0.4889 95/3183 [..............................] - ETA: 1:25 - loss: 163.8078 - logits_profile_predictions_loss: 161.2230 - logcount_predictions_loss: 0.4877 97/3183 [..............................] - ETA: 1:25 - loss: 163.8522 - logits_profile_predictions_loss: 161.2458 - logcount_predictions_loss: 0.4918 99/3183 [..............................] - ETA: 1:24 - loss: 163.7892 - logits_profile_predictions_loss: 161.1957 - logcount_predictions_loss: 0.4893 101/3183 [..............................] - ETA: 1:24 - loss: 163.7091 - logits_profile_predictions_loss: 161.1170 - logcount_predictions_loss: 0.4891 103/3183 [..............................] - ETA: 1:24 - loss: 163.6987 - logits_profile_predictions_loss: 161.1001 - logcount_predictions_loss: 0.4903 105/3183 [..............................] - ETA: 1:24 - loss: 163.6124 - logits_profile_predictions_loss: 161.0193 - logcount_predictions_loss: 0.4893 107/3183 [>.............................] - ETA: 1:24 - loss: 163.4205 - logits_profile_predictions_loss: 160.8193 - logcount_predictions_loss: 0.4908 109/3183 [>.............................] - ETA: 1:24 - loss: 163.6142 - logits_profile_predictions_loss: 161.0325 - logcount_predictions_loss: 0.4871 111/3183 [>.............................] - ETA: 1:24 - loss: 163.3470 - logits_profile_predictions_loss: 160.7610 - logcount_predictions_loss: 0.4879 113/3183 [>.............................] - ETA: 1:24 - loss: 163.2882 - logits_profile_predictions_loss: 160.6994 - logcount_predictions_loss: 0.4884 115/3183 [>.............................] - ETA: 1:24 - loss: 163.3371 - logits_profile_predictions_loss: 160.7693 - logcount_predictions_loss: 0.4845 117/3183 [>.............................] - ETA: 1:24 - loss: 163.1557 - logits_profile_predictions_loss: 160.5703 - logcount_predictions_loss: 0.4878 119/3183 [>.............................] - ETA: 1:24 - loss: 163.0015 - logits_profile_predictions_loss: 160.4158 - logcount_predictions_loss: 0.4878 121/3183 [>.............................] - ETA: 1:24 - loss: 162.9557 - logits_profile_predictions_loss: 160.3791 - logcount_predictions_loss: 0.4862 123/3183 [>.............................] - ETA: 1:24 - loss: 162.8631 - logits_profile_predictions_loss: 160.2911 - logcount_predictions_loss: 0.4853 125/3183 [>.............................] - ETA: 1:24 - loss: 163.0106 - logits_profile_predictions_loss: 160.4509 - logcount_predictions_loss: 0.4829 127/3183 [>.............................] - ETA: 1:24 - loss: 163.0919 - logits_profile_predictions_loss: 160.5378 - logcount_predictions_loss: 0.4819 129/3183 [>.............................] - ETA: 1:24 - loss: 163.2089 - logits_profile_predictions_loss: 160.6673 - logcount_predictions_loss: 0.4795 131/3183 [>.............................] - ETA: 1:23 - loss: 163.3078 - logits_profile_predictions_loss: 160.7579 - logcount_predictions_loss: 0.4811 133/3183 [>.............................] - ETA: 1:23 - loss: 163.3248 - logits_profile_predictions_loss: 160.7769 - logcount_predictions_loss: 0.4807 135/3183 [>.............................] - ETA: 1:23 - loss: 163.2843 - logits_profile_predictions_loss: 160.7353 - logcount_predictions_loss: 0.4809 137/3183 [>.............................] - ETA: 1:23 - loss: 163.2762 - logits_profile_predictions_loss: 160.7318 - logcount_predictions_loss: 0.4801 139/3183 [>.............................] - ETA: 1:23 - loss: 163.4097 - logits_profile_predictions_loss: 160.8723 - logcount_predictions_loss: 0.4787 141/3183 [>.............................] - ETA: 1:23 - loss: 163.4870 - logits_profile_predictions_loss: 160.9505 - logcount_predictions_loss: 0.4786 143/3183 [>.............................] - ETA: 1:23 - loss: 163.4961 - logits_profile_predictions_loss: 160.9733 - logcount_predictions_loss: 0.4760 145/3183 [>.............................] - ETA: 1:23 - loss: 163.5232 - logits_profile_predictions_loss: 161.0029 - logcount_predictions_loss: 0.4755 147/3183 [>.............................] - ETA: 1:23 - loss: 163.5500 - logits_profile_predictions_loss: 161.0298 - logcount_predictions_loss: 0.4755 149/3183 [>.............................] - ETA: 1:23 - loss: 163.6629 - logits_profile_predictions_loss: 161.1561 - logcount_predictions_loss: 0.4730 151/3183 [>.............................] - ETA: 1:23 - loss: 163.6886 - logits_profile_predictions_loss: 161.1912 - logcount_predictions_loss: 0.4712 153/3183 [>.............................] - ETA: 1:23 - loss: 163.6225 - logits_profile_predictions_loss: 161.1242 - logcount_predictions_loss: 0.4713 155/3183 [>.............................] - ETA: 1:23 - loss: 163.6737 - logits_profile_predictions_loss: 161.1756 - logcount_predictions_loss: 0.4713 157/3183 [>.............................] - ETA: 1:23 - loss: 163.6902 - logits_profile_predictions_loss: 161.1858 - logcount_predictions_loss: 0.4725 159/3183 [>.............................] - ETA: 1:23 - loss: 163.6999 - logits_profile_predictions_loss: 161.1917 - logcount_predictions_loss: 0.4732 161/3183 [>.............................] - ETA: 1:23 - loss: 163.6424 - logits_profile_predictions_loss: 161.1367 - logcount_predictions_loss: 0.4727 163/3183 [>.............................] - ETA: 1:22 - loss: 163.6681 - logits_profile_predictions_loss: 161.1729 - logcount_predictions_loss: 0.4708 165/3183 [>.............................] - ETA: 1:22 - loss: 163.5660 - logits_profile_predictions_loss: 161.0735 - logcount_predictions_loss: 0.4703 167/3183 [>.............................] - ETA: 1:22 - loss: 163.4339 - logits_profile_predictions_loss: 160.9465 - logcount_predictions_loss: 0.4693 169/3183 [>.............................] - ETA: 1:22 - loss: 163.4997 - logits_profile_predictions_loss: 161.0189 - logcount_predictions_loss: 0.4681 171/3183 [>.............................] - ETA: 1:22 - loss: 163.5245 - logits_profile_predictions_loss: 161.0394 - logcount_predictions_loss: 0.4689 173/3183 [>.............................] - ETA: 1:22 - loss: 163.5746 - logits_profile_predictions_loss: 161.0985 - logcount_predictions_loss: 0.4672 175/3183 [>.............................] - ETA: 1:22 - loss: 163.6128 - logits_profile_predictions_loss: 161.1415 - logcount_predictions_loss: 0.4663 177/3183 [>.............................] - ETA: 1:22 - loss: 163.5601 - logits_profile_predictions_loss: 161.0901 - logcount_predictions_loss: 0.4660 179/3183 [>.............................] - ETA: 1:22 - loss: 163.5376 - logits_profile_predictions_loss: 161.0641 - logcount_predictions_loss: 0.4667 181/3183 [>.............................] - ETA: 1:22 - loss: 163.4633 - logits_profile_predictions_loss: 160.9896 - logcount_predictions_loss: 0.4667 183/3183 [>.............................] - ETA: 1:22 - loss: 163.4677 - logits_profile_predictions_loss: 160.9983 - logcount_predictions_loss: 0.4659 185/3183 [>.............................] - ETA: 1:22 - loss: 163.4953 - logits_profile_predictions_loss: 161.0323 - logcount_predictions_loss: 0.4647 187/3183 [>.............................] - ETA: 1:22 - loss: 163.5325 - logits_profile_predictions_loss: 161.0679 - logcount_predictions_loss: 0.4650 189/3183 [>.............................] - ETA: 1:22 - loss: 163.4788 - logits_profile_predictions_loss: 161.0098 - logcount_predictions_loss: 0.4658 191/3183 [>.............................] - ETA: 1:22 - loss: 163.4848 - logits_profile_predictions_loss: 161.0093 - logcount_predictions_loss: 0.4671 193/3183 [>.............................] - ETA: 1:22 - loss: 163.5532 - logits_profile_predictions_loss: 161.0826 - logcount_predictions_loss: 0.4661 195/3183 [>.............................] - ETA: 1:22 - loss: 163.5141 - logits_profile_predictions_loss: 161.0409 - logcount_predictions_loss: 0.4666 197/3183 [>.............................] - ETA: 1:22 - loss: 163.4226 - logits_profile_predictions_loss: 160.9481 - logcount_predictions_loss: 0.4669 199/3183 [>.............................] - ETA: 1:22 - loss: 163.3842 - logits_profile_predictions_loss: 160.9063 - logcount_predictions_loss: 0.4675 201/3183 [>.............................] - ETA: 1:21 - loss: 163.3102 - logits_profile_predictions_loss: 160.8286 - logcount_predictions_loss: 0.4682 203/3183 [>.............................] - ETA: 1:21 - loss: 163.3231 - logits_profile_predictions_loss: 160.8426 - logcount_predictions_loss: 0.4680 205/3183 [>.............................] - ETA: 1:21 - loss: 163.4041 - logits_profile_predictions_loss: 160.9278 - logcount_predictions_loss: 0.4672 207/3183 [>.............................] - ETA: 1:21 - loss: 163.2971 - 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[====>.........................] - ETA: 1:12 - loss: 162.8623 - logits_profile_predictions_loss: 160.4276 - logcount_predictions_loss: 0.4593 560/3183 [====>.........................] - ETA: 1:12 - loss: 162.8398 - logits_profile_predictions_loss: 160.4073 - logcount_predictions_loss: 0.4589 562/3183 [====>.........................] - ETA: 1:12 - loss: 162.8492 - logits_profile_predictions_loss: 160.4168 - logcount_predictions_loss: 0.4589 564/3183 [====>.........................] - ETA: 1:12 - loss: 162.8732 - logits_profile_predictions_loss: 160.4409 - logcount_predictions_loss: 0.4589 566/3183 [====>.........................] - ETA: 1:12 - loss: 162.8707 - logits_profile_predictions_loss: 160.4373 - logcount_predictions_loss: 0.4591 568/3183 [====>.........................] - ETA: 1:12 - loss: 162.8701 - logits_profile_predictions_loss: 160.4396 - logcount_predictions_loss: 0.4585 570/3183 [====>.........................] - ETA: 1:12 - loss: 162.9163 - 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[====>.........................] - ETA: 1:11 - loss: 163.0118 - logits_profile_predictions_loss: 160.5851 - logcount_predictions_loss: 0.4578 586/3183 [====>.........................] - ETA: 1:11 - loss: 163.0153 - logits_profile_predictions_loss: 160.5916 - logcount_predictions_loss: 0.4573 588/3183 [====>.........................] - ETA: 1:11 - loss: 163.0142 - logits_profile_predictions_loss: 160.5915 - logcount_predictions_loss: 0.4571 590/3183 [====>.........................] - ETA: 1:11 - loss: 163.0409 - logits_profile_predictions_loss: 160.6190 - logcount_predictions_loss: 0.4569 592/3183 [====>.........................] - ETA: 1:11 - loss: 163.0746 - logits_profile_predictions_loss: 160.6519 - logcount_predictions_loss: 0.4571 594/3183 [====>.........................] - ETA: 1:11 - loss: 163.0601 - logits_profile_predictions_loss: 160.6375 - logcount_predictions_loss: 0.4571 596/3183 [====>.........................] - ETA: 1:11 - loss: 163.0763 - 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[====>.........................] - ETA: 1:11 - loss: 163.0801 - logits_profile_predictions_loss: 160.6581 - logcount_predictions_loss: 0.4569 612/3183 [====>.........................] - ETA: 1:10 - loss: 163.0834 - logits_profile_predictions_loss: 160.6601 - logcount_predictions_loss: 0.4572 614/3183 [====>.........................] - ETA: 1:10 - loss: 163.0823 - logits_profile_predictions_loss: 160.6588 - logcount_predictions_loss: 0.4572 616/3183 [====>.........................] - ETA: 1:10 - loss: 163.0927 - logits_profile_predictions_loss: 160.6681 - logcount_predictions_loss: 0.4574 618/3183 [====>.........................] - ETA: 1:10 - loss: 163.0893 - logits_profile_predictions_loss: 160.6643 - logcount_predictions_loss: 0.4575 620/3183 [====>.........................] - ETA: 1:10 - loss: 163.0202 - logits_profile_predictions_loss: 160.5930 - logcount_predictions_loss: 0.4579 622/3183 [====>.........................] - ETA: 1:10 - loss: 163.0771 - 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[====>.........................] - ETA: 1:10 - loss: 163.0070 - logits_profile_predictions_loss: 160.5725 - logcount_predictions_loss: 0.4593 638/3183 [=====>........................] - ETA: 1:10 - loss: 163.0356 - logits_profile_predictions_loss: 160.6026 - logcount_predictions_loss: 0.4590 640/3183 [=====>........................] - ETA: 1:10 - loss: 163.0351 - logits_profile_predictions_loss: 160.6039 - logcount_predictions_loss: 0.4587 642/3183 [=====>........................] - ETA: 1:10 - loss: 163.0202 - logits_profile_predictions_loss: 160.5874 - logcount_predictions_loss: 0.4590 644/3183 [=====>........................] - ETA: 1:10 - loss: 162.9977 - logits_profile_predictions_loss: 160.5659 - logcount_predictions_loss: 0.4588 646/3183 [=====>........................] - ETA: 1:10 - loss: 162.9686 - logits_profile_predictions_loss: 160.5362 - logcount_predictions_loss: 0.4589 648/3183 [=====>........................] - ETA: 1:09 - loss: 162.9392 - 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[=====>........................] - ETA: 1:09 - loss: 162.9401 - logits_profile_predictions_loss: 160.5067 - logcount_predictions_loss: 0.4591 664/3183 [=====>........................] - ETA: 1:09 - loss: 162.9345 - logits_profile_predictions_loss: 160.5018 - logcount_predictions_loss: 0.4590 666/3183 [=====>........................] - ETA: 1:09 - loss: 162.9305 - logits_profile_predictions_loss: 160.4987 - logcount_predictions_loss: 0.4588 668/3183 [=====>........................] - ETA: 1:09 - loss: 162.9477 - logits_profile_predictions_loss: 160.5148 - logcount_predictions_loss: 0.4590 670/3183 [=====>........................] - ETA: 1:09 - loss: 162.9562 - logits_profile_predictions_loss: 160.5221 - logcount_predictions_loss: 0.4592 672/3183 [=====>........................] - ETA: 1:09 - loss: 162.9659 - logits_profile_predictions_loss: 160.5331 - logcount_predictions_loss: 0.4590 674/3183 [=====>........................] - ETA: 1:09 - loss: 162.9677 - 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loss: 162.6759 - logits_profile_predictions_loss: 160.2714 - logcount_predictions_loss: 0.4537 3042/3183 [===========================>..] - ETA: 3s - loss: 162.6754 - logits_profile_predictions_loss: 160.2712 - logcount_predictions_loss: 0.4536 3044/3183 [===========================>..] - ETA: 3s - loss: 162.6819 - logits_profile_predictions_loss: 160.2777 - logcount_predictions_loss: 0.4536 3046/3183 [===========================>..] - ETA: 3s - loss: 162.6780 - logits_profile_predictions_loss: 160.2739 - logcount_predictions_loss: 0.4536 3048/3183 [===========================>..] - ETA: 3s - loss: 162.6787 - logits_profile_predictions_loss: 160.2745 - logcount_predictions_loss: 0.4536 3050/3183 [===========================>..] - ETA: 3s - loss: 162.6855 - logits_profile_predictions_loss: 160.2814 - logcount_predictions_loss: 0.4536 3052/3183 [===========================>..] - ETA: 3s - loss: 162.6911 - logits_profile_predictions_loss: 160.2867 - logcount_predictions_loss: 0.4537 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logits_profile_predictions_loss: 160.2863 - logcount_predictions_loss: 0.4536 3068/3183 [===========================>..] - ETA: 3s - loss: 162.6893 - logits_profile_predictions_loss: 160.2858 - logcount_predictions_loss: 0.4535 3070/3183 [===========================>..] - ETA: 3s - loss: 162.6904 - logits_profile_predictions_loss: 160.2871 - logcount_predictions_loss: 0.4535 3072/3183 [===========================>..] - ETA: 3s - loss: 162.6929 - logits_profile_predictions_loss: 160.2895 - logcount_predictions_loss: 0.4535 3074/3183 [===========================>..] - ETA: 3s - loss: 162.6967 - logits_profile_predictions_loss: 160.2932 - logcount_predictions_loss: 0.4535 3076/3183 [===========================>..] - ETA: 2s - loss: 162.6988 - logits_profile_predictions_loss: 160.2957 - logcount_predictions_loss: 0.4534 3078/3183 [============================>.] - ETA: 2s - loss: 162.7000 - logits_profile_predictions_loss: 160.2969 - logcount_predictions_loss: 0.4534 3080/3183 [============================>.] - ETA: 2s - loss: 162.6970 - logits_profile_predictions_loss: 160.2938 - logcount_predictions_loss: 0.4534 3082/3183 [============================>.] - ETA: 2s - loss: 162.6941 - logits_profile_predictions_loss: 160.2909 - logcount_predictions_loss: 0.4535 3084/3183 [============================>.] - ETA: 2s - loss: 162.6881 - logits_profile_predictions_loss: 160.2849 - logcount_predictions_loss: 0.4535 3086/3183 [============================>.] - ETA: 2s - loss: 162.6879 - logits_profile_predictions_loss: 160.2847 - logcount_predictions_loss: 0.4535 3088/3183 [============================>.] - ETA: 2s - loss: 162.6876 - logits_profile_predictions_loss: 160.2846 - logcount_predictions_loss: 0.4534 3090/3183 [============================>.] - ETA: 2s - loss: 162.6774 - logits_profile_predictions_loss: 160.2739 - logcount_predictions_loss: 0.4535 3092/3183 [============================>.] - ETA: 2s - loss: 162.6751 - logits_profile_predictions_loss: 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loss: 162.6936 - logits_profile_predictions_loss: 160.2913 - logcount_predictions_loss: 0.4533 3108/3183 [============================>.] - ETA: 2s - loss: 162.6854 - logits_profile_predictions_loss: 160.2830 - logcount_predictions_loss: 0.4533 3110/3183 [============================>.] - ETA: 2s - loss: 162.6877 - logits_profile_predictions_loss: 160.2854 - logcount_predictions_loss: 0.4533 3112/3183 [============================>.] - ETA: 1s - loss: 162.6856 - logits_profile_predictions_loss: 160.2835 - logcount_predictions_loss: 0.4532 3114/3183 [============================>.] - ETA: 1s - loss: 162.6912 - logits_profile_predictions_loss: 160.2892 - logcount_predictions_loss: 0.4532 3116/3183 [============================>.] - ETA: 1s - loss: 162.6953 - logits_profile_predictions_loss: 160.2934 - logcount_predictions_loss: 0.4532 3118/3183 [============================>.] - ETA: 1s - loss: 162.6984 - logits_profile_predictions_loss: 160.2966 - logcount_predictions_loss: 0.4532 3120/3183 [============================>.] - ETA: 1s - loss: 162.6962 - logits_profile_predictions_loss: 160.2944 - logcount_predictions_loss: 0.4532 3122/3183 [============================>.] - ETA: 1s - loss: 162.6947 - logits_profile_predictions_loss: 160.2933 - logcount_predictions_loss: 0.4531 3124/3183 [============================>.] - ETA: 1s - loss: 162.6982 - logits_profile_predictions_loss: 160.2969 - logcount_predictions_loss: 0.4531 3126/3183 [============================>.] - ETA: 1s - loss: 162.6980 - logits_profile_predictions_loss: 160.2966 - logcount_predictions_loss: 0.4531 3128/3183 [============================>.] - ETA: 1s - loss: 162.6983 - logits_profile_predictions_loss: 160.2967 - logcount_predictions_loss: 0.4532 3130/3183 [============================>.] - ETA: 1s - loss: 162.7028 - logits_profile_predictions_loss: 160.3009 - logcount_predictions_loss: 0.4532 3132/3183 [============================>.] - ETA: 1s - loss: 162.6960 - logits_profile_predictions_loss: 160.2942 - logcount_predictions_loss: 0.4532 3134/3183 [============================>.] - ETA: 1s - loss: 162.6975 - logits_profile_predictions_loss: 160.2961 - logcount_predictions_loss: 0.4531 3136/3183 [============================>.] - ETA: 1s - loss: 162.6927 - logits_profile_predictions_loss: 160.2917 - logcount_predictions_loss: 0.4530 3138/3183 [============================>.] - ETA: 1s - loss: 162.6845 - logits_profile_predictions_loss: 160.2837 - logcount_predictions_loss: 0.4530 3140/3183 [============================>.] - ETA: 1s - loss: 162.6875 - logits_profile_predictions_loss: 160.2866 - logcount_predictions_loss: 0.4530 3142/3183 [============================>.] - ETA: 1s - loss: 162.6888 - logits_profile_predictions_loss: 160.2882 - logcount_predictions_loss: 0.4530 3144/3183 [============================>.] - ETA: 1s - loss: 162.6883 - logits_profile_predictions_loss: 160.2876 - logcount_predictions_loss: 0.4530 3146/3183 [============================>.] - ETA: 1s - loss: 162.6862 - logits_profile_predictions_loss: 160.2858 - logcount_predictions_loss: 0.4529 3148/3183 [============================>.] - ETA: 0s - loss: 162.6917 - logits_profile_predictions_loss: 160.2914 - logcount_predictions_loss: 0.4529 3150/3183 [============================>.] - ETA: 0s - loss: 162.6882 - logits_profile_predictions_loss: 160.2877 - logcount_predictions_loss: 0.4529 3152/3183 [============================>.] - ETA: 0s - loss: 162.6882 - logits_profile_predictions_loss: 160.2882 - logcount_predictions_loss: 0.4528 3154/3183 [============================>.] - ETA: 0s - loss: 162.6870 - logits_profile_predictions_loss: 160.2872 - logcount_predictions_loss: 0.4528 3156/3183 [============================>.] - ETA: 0s - loss: 162.6889 - logits_profile_predictions_loss: 160.2890 - logcount_predictions_loss: 0.4528 3158/3183 [============================>.] - ETA: 0s - loss: 162.6907 - logits_profile_predictions_loss: 160.2914 - logcount_predictions_loss: 0.4527 3160/3183 [============================>.] - ETA: 0s - loss: 162.6902 - logits_profile_predictions_loss: 160.2902 - logcount_predictions_loss: 0.4528 3162/3183 [============================>.] - ETA: 0s - loss: 162.6767 - logits_profile_predictions_loss: 160.2762 - logcount_predictions_loss: 0.4529 3164/3183 [============================>.] - ETA: 0s - loss: 162.6773 - logits_profile_predictions_loss: 160.2762 - logcount_predictions_loss: 0.4531 3166/3183 [============================>.] - ETA: 0s - loss: 162.6786 - logits_profile_predictions_loss: 160.2772 - logcount_predictions_loss: 0.4531 3168/3183 [============================>.] - ETA: 0s - loss: 162.6844 - logits_profile_predictions_loss: 160.2833 - logcount_predictions_loss: 0.4531 3170/3183 [============================>.] - ETA: 0s - loss: 162.6869 - logits_profile_predictions_loss: 160.2856 - logcount_predictions_loss: 0.4531 3172/3183 [============================>.] - ETA: 0s - loss: 162.6842 - logits_profile_predictions_loss: 160.2830 - logcount_predictions_loss: 0.4531 3174/3183 [============================>.] - ETA: 0s - loss: 162.6779 - logits_profile_predictions_loss: 160.2766 - logcount_predictions_loss: 0.4531 3176/3183 [============================>.] - ETA: 0s - loss: 162.6811 - logits_profile_predictions_loss: 160.2797 - logcount_predictions_loss: 0.4531 3178/3183 [============================>.] - ETA: 0s - loss: 162.6817 - logits_profile_predictions_loss: 160.2802 - logcount_predictions_loss: 0.4531 3180/3183 [============================>.] - ETA: 0s - loss: 162.6812 - logits_profile_predictions_loss: 160.2801 - logcount_predictions_loss: 0.4530 3182/3183 [============================>.] - ETA: 0s - loss: 162.6818 - logits_profile_predictions_loss: 160.2806 - logcount_predictions_loss: 0.4531 Epoch 6: val_loss did not improve from 164.96042  3183/3183 [==============================] - 92s 29ms/step - loss: 162.6828 - logits_profile_predictions_loss: 160.2817 - logcount_predictions_loss: 0.4530 - val_loss: 165.0084 - val_logits_profile_predictions_loss: 163.0900 - val_logcount_predictions_loss: 0.3620 Epoch 7/50 1/3183 [..............................] - ETA: 2:22 - loss: 160.9965 - logits_profile_predictions_loss: 158.3738 - logcount_predictions_loss: 0.4949 3/3183 [..............................] - ETA: 1:40 - loss: 158.5820 - logits_profile_predictions_loss: 156.0624 - logcount_predictions_loss: 0.4754 5/3183 [..............................] - ETA: 1:41 - loss: 156.5799 - logits_profile_predictions_loss: 154.2001 - logcount_predictions_loss: 0.4490 7/3183 [..............................] - ETA: 1:38 - loss: 158.8155 - logits_profile_predictions_loss: 156.4058 - logcount_predictions_loss: 0.4547 9/3183 [..............................] - ETA: 1:35 - loss: 160.5882 - logits_profile_predictions_loss: 158.2137 - logcount_predictions_loss: 0.4480 11/3183 [..............................] - ETA: 1:34 - loss: 162.4972 - logits_profile_predictions_loss: 160.2970 - logcount_predictions_loss: 0.4151 13/3183 [..............................] - ETA: 1:33 - loss: 162.5229 - logits_profile_predictions_loss: 160.3183 - logcount_predictions_loss: 0.4160 15/3183 [..............................] - ETA: 1:32 - loss: 162.9617 - logits_profile_predictions_loss: 160.6821 - logcount_predictions_loss: 0.4301 17/3183 [..............................] - ETA: 1:31 - loss: 163.0658 - logits_profile_predictions_loss: 160.7725 - logcount_predictions_loss: 0.4327 19/3183 [..............................] - ETA: 1:31 - loss: 163.8444 - logits_profile_predictions_loss: 161.5278 - logcount_predictions_loss: 0.4371 21/3183 [..............................] - ETA: 1:30 - loss: 163.4211 - logits_profile_predictions_loss: 161.0549 - logcount_predictions_loss: 0.4465 23/3183 [..............................] - ETA: 1:30 - loss: 163.7336 - logits_profile_predictions_loss: 161.4269 - logcount_predictions_loss: 0.4352 25/3183 [..............................] - ETA: 1:29 - loss: 164.3472 - logits_profile_predictions_loss: 161.9953 - logcount_predictions_loss: 0.4437 27/3183 [..............................] - ETA: 1:29 - loss: 164.4620 - logits_profile_predictions_loss: 162.1585 - logcount_predictions_loss: 0.4346 29/3183 [..............................] - ETA: 1:29 - loss: 164.4320 - logits_profile_predictions_loss: 162.1261 - logcount_predictions_loss: 0.4351 31/3183 [..............................] - ETA: 1:29 - loss: 164.1870 - logits_profile_predictions_loss: 161.8836 - logcount_predictions_loss: 0.4346 33/3183 [..............................] - ETA: 1:29 - loss: 164.2807 - logits_profile_predictions_loss: 162.0330 - logcount_predictions_loss: 0.4241 35/3183 [..............................] - ETA: 1:28 - loss: 164.1694 - logits_profile_predictions_loss: 161.9393 - logcount_predictions_loss: 0.4208 37/3183 [..............................] - ETA: 1:28 - loss: 164.4610 - logits_profile_predictions_loss: 162.2225 - logcount_predictions_loss: 0.4224 39/3183 [..............................] - ETA: 1:28 - loss: 164.7391 - logits_profile_predictions_loss: 162.4979 - logcount_predictions_loss: 0.4229 41/3183 [..............................] - ETA: 1:28 - loss: 164.5564 - logits_profile_predictions_loss: 162.3089 - logcount_predictions_loss: 0.4241 43/3183 [..............................] - ETA: 1:28 - loss: 164.5057 - logits_profile_predictions_loss: 162.2662 - logcount_predictions_loss: 0.4225 45/3183 [..............................] - ETA: 1:28 - loss: 165.1192 - logits_profile_predictions_loss: 162.8820 - logcount_predictions_loss: 0.4221 47/3183 [..............................] - ETA: 1:28 - loss: 164.9960 - logits_profile_predictions_loss: 162.7457 - logcount_predictions_loss: 0.4246 49/3183 [..............................] - ETA: 1:28 - loss: 164.7998 - logits_profile_predictions_loss: 162.5575 - logcount_predictions_loss: 0.4231 51/3183 [..............................] - ETA: 1:27 - loss: 164.5877 - logits_profile_predictions_loss: 162.3118 - logcount_predictions_loss: 0.4294 53/3183 [..............................] - ETA: 1:27 - loss: 164.5107 - logits_profile_predictions_loss: 162.2353 - logcount_predictions_loss: 0.4293 55/3183 [..............................] - ETA: 1:27 - loss: 164.0188 - logits_profile_predictions_loss: 161.7447 - logcount_predictions_loss: 0.4291 57/3183 [..............................] - ETA: 1:27 - loss: 164.0370 - logits_profile_predictions_loss: 161.7368 - logcount_predictions_loss: 0.4340 59/3183 [..............................] - ETA: 1:27 - loss: 163.9949 - logits_profile_predictions_loss: 161.6747 - logcount_predictions_loss: 0.4378 61/3183 [..............................] - ETA: 1:27 - loss: 163.7754 - logits_profile_predictions_loss: 161.4772 - logcount_predictions_loss: 0.4336 63/3183 [..............................] - ETA: 1:27 - loss: 163.7564 - logits_profile_predictions_loss: 161.4721 - logcount_predictions_loss: 0.4310 65/3183 [..............................] - ETA: 1:27 - loss: 163.5992 - logits_profile_predictions_loss: 161.3029 - logcount_predictions_loss: 0.4333 67/3183 [..............................] - ETA: 1:27 - loss: 163.7382 - logits_profile_predictions_loss: 161.4411 - logcount_predictions_loss: 0.4334 69/3183 [..............................] - ETA: 1:27 - loss: 163.8207 - logits_profile_predictions_loss: 161.5401 - logcount_predictions_loss: 0.4303 71/3183 [..............................] - ETA: 1:26 - loss: 163.5129 - logits_profile_predictions_loss: 161.2491 - logcount_predictions_loss: 0.4271 73/3183 [..............................] - ETA: 1:26 - loss: 163.4970 - logits_profile_predictions_loss: 161.2188 - logcount_predictions_loss: 0.4299 75/3183 [..............................] - ETA: 1:26 - loss: 163.7371 - logits_profile_predictions_loss: 161.4617 - logcount_predictions_loss: 0.4293 77/3183 [..............................] - ETA: 1:26 - loss: 163.6152 - logits_profile_predictions_loss: 161.3465 - logcount_predictions_loss: 0.4280 79/3183 [..............................] - ETA: 1:26 - loss: 163.7056 - logits_profile_predictions_loss: 161.4408 - logcount_predictions_loss: 0.4273 81/3183 [..............................] - ETA: 1:26 - loss: 163.7684 - logits_profile_predictions_loss: 161.5105 - logcount_predictions_loss: 0.4260 83/3183 [..............................] - ETA: 1:26 - loss: 163.5535 - logits_profile_predictions_loss: 161.2800 - logcount_predictions_loss: 0.4290 85/3183 [..............................] - ETA: 1:26 - loss: 163.6269 - logits_profile_predictions_loss: 161.3568 - logcount_predictions_loss: 0.4283 87/3183 [..............................] - ETA: 1:26 - loss: 163.7250 - logits_profile_predictions_loss: 161.4589 - logcount_predictions_loss: 0.4276 89/3183 [..............................] - ETA: 1:26 - loss: 163.5759 - logits_profile_predictions_loss: 161.2999 - logcount_predictions_loss: 0.4294 91/3183 [..............................] - ETA: 1:26 - loss: 163.4527 - logits_profile_predictions_loss: 161.1730 - logcount_predictions_loss: 0.4301 93/3183 [..............................] - ETA: 1:26 - loss: 163.3961 - logits_profile_predictions_loss: 161.1107 - logcount_predictions_loss: 0.4312 95/3183 [..............................] - ETA: 1:25 - loss: 163.3794 - logits_profile_predictions_loss: 161.0814 - logcount_predictions_loss: 0.4336 97/3183 [..............................] - ETA: 1:25 - loss: 163.4140 - logits_profile_predictions_loss: 161.0958 - logcount_predictions_loss: 0.4374 99/3183 [..............................] - ETA: 1:25 - loss: 163.4577 - logits_profile_predictions_loss: 161.1360 - logcount_predictions_loss: 0.4381 101/3183 [..............................] - ETA: 1:25 - loss: 163.4862 - logits_profile_predictions_loss: 161.1458 - logcount_predictions_loss: 0.4416 103/3183 [..............................] - ETA: 1:25 - loss: 163.3919 - logits_profile_predictions_loss: 161.0652 - logcount_predictions_loss: 0.4390 105/3183 [..............................] - ETA: 1:25 - loss: 163.2630 - logits_profile_predictions_loss: 160.9281 - logcount_predictions_loss: 0.4405 107/3183 [>.............................] - ETA: 1:25 - loss: 163.1575 - logits_profile_predictions_loss: 160.8100 - logcount_predictions_loss: 0.4429 109/3183 [>.............................] - ETA: 1:25 - loss: 163.0930 - logits_profile_predictions_loss: 160.7341 - logcount_predictions_loss: 0.4451 111/3183 [>.............................] - ETA: 1:25 - loss: 163.1082 - logits_profile_predictions_loss: 160.7409 - logcount_predictions_loss: 0.4467 113/3183 [>.............................] - ETA: 1:25 - loss: 163.1041 - logits_profile_predictions_loss: 160.7346 - logcount_predictions_loss: 0.4471 115/3183 [>.............................] - ETA: 1:25 - loss: 163.1452 - logits_profile_predictions_loss: 160.7742 - logcount_predictions_loss: 0.4474 117/3183 [>.............................] - ETA: 1:25 - loss: 163.1737 - logits_profile_predictions_loss: 160.8103 - logcount_predictions_loss: 0.4459 119/3183 [>.............................] - ETA: 1:25 - loss: 163.0935 - logits_profile_predictions_loss: 160.7283 - logcount_predictions_loss: 0.4463 121/3183 [>.............................] - ETA: 1:25 - loss: 163.1598 - logits_profile_predictions_loss: 160.7949 - logcount_predictions_loss: 0.4462 123/3183 [>.............................] - ETA: 1:25 - loss: 163.0695 - logits_profile_predictions_loss: 160.7079 - logcount_predictions_loss: 0.4456 125/3183 [>.............................] - ETA: 1:25 - loss: 162.9182 - logits_profile_predictions_loss: 160.5589 - logcount_predictions_loss: 0.4452 127/3183 [>.............................] - ETA: 1:24 - loss: 162.8153 - logits_profile_predictions_loss: 160.4523 - logcount_predictions_loss: 0.4458 129/3183 [>.............................] - ETA: 1:24 - loss: 162.7862 - logits_profile_predictions_loss: 160.4260 - logcount_predictions_loss: 0.4453 131/3183 [>.............................] - ETA: 1:24 - loss: 162.8118 - logits_profile_predictions_loss: 160.4439 - logcount_predictions_loss: 0.4468 133/3183 [>.............................] - ETA: 1:24 - loss: 162.9307 - logits_profile_predictions_loss: 160.5436 - logcount_predictions_loss: 0.4504 135/3183 [>.............................] - ETA: 1:24 - loss: 162.8102 - logits_profile_predictions_loss: 160.4284 - logcount_predictions_loss: 0.4494 137/3183 [>.............................] - ETA: 1:24 - loss: 162.8896 - logits_profile_predictions_loss: 160.5171 - logcount_predictions_loss: 0.4476 139/3183 [>.............................] - ETA: 1:24 - loss: 162.8606 - logits_profile_predictions_loss: 160.4860 - logcount_predictions_loss: 0.4480 141/3183 [>.............................] - ETA: 1:24 - loss: 162.7924 - logits_profile_predictions_loss: 160.4246 - logcount_predictions_loss: 0.4468 143/3183 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[====>.........................] - ETA: 1:10 - loss: 162.4954 - logits_profile_predictions_loss: 160.1802 - logcount_predictions_loss: 0.4368 614/3183 [====>.........................] - ETA: 1:10 - loss: 162.4991 - logits_profile_predictions_loss: 160.1842 - logcount_predictions_loss: 0.4368 616/3183 [====>.........................] - ETA: 1:10 - loss: 162.4956 - logits_profile_predictions_loss: 160.1802 - logcount_predictions_loss: 0.4369 618/3183 [====>.........................] - ETA: 1:10 - loss: 162.4990 - logits_profile_predictions_loss: 160.1832 - logcount_predictions_loss: 0.4369 620/3183 [====>.........................] - ETA: 1:10 - loss: 162.5136 - logits_profile_predictions_loss: 160.1964 - logcount_predictions_loss: 0.4372 622/3183 [====>.........................] - ETA: 1:10 - loss: 162.4465 - logits_profile_predictions_loss: 160.1293 - logcount_predictions_loss: 0.4372 624/3183 [====>.........................] - ETA: 1:10 - loss: 162.4534 - 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[=====>........................] - ETA: 1:10 - loss: 162.4352 - logits_profile_predictions_loss: 160.1079 - logcount_predictions_loss: 0.4391 640/3183 [=====>........................] - ETA: 1:10 - loss: 162.4177 - logits_profile_predictions_loss: 160.0900 - logcount_predictions_loss: 0.4392 642/3183 [=====>........................] - ETA: 1:10 - loss: 162.3886 - logits_profile_predictions_loss: 160.0609 - logcount_predictions_loss: 0.4392 644/3183 [=====>........................] - ETA: 1:10 - loss: 162.3818 - logits_profile_predictions_loss: 160.0555 - logcount_predictions_loss: 0.4389 646/3183 [=====>........................] - ETA: 1:10 - loss: 162.3771 - logits_profile_predictions_loss: 160.0503 - logcount_predictions_loss: 0.4390 648/3183 [=====>........................] - ETA: 1:09 - loss: 162.3716 - logits_profile_predictions_loss: 160.0442 - logcount_predictions_loss: 0.4392 650/3183 [=====>........................] - ETA: 1:09 - loss: 162.3658 - 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[=====>........................] - ETA: 1:09 - loss: 162.3053 - logits_profile_predictions_loss: 159.9716 - logcount_predictions_loss: 0.4403 666/3183 [=====>........................] - ETA: 1:09 - loss: 162.3097 - logits_profile_predictions_loss: 159.9764 - logcount_predictions_loss: 0.4403 668/3183 [=====>........................] - ETA: 1:09 - loss: 162.3111 - logits_profile_predictions_loss: 159.9774 - logcount_predictions_loss: 0.4403 670/3183 [=====>........................] - ETA: 1:09 - loss: 162.3112 - logits_profile_predictions_loss: 159.9769 - logcount_predictions_loss: 0.4405 672/3183 [=====>........................] - ETA: 1:09 - loss: 162.3198 - logits_profile_predictions_loss: 159.9868 - logcount_predictions_loss: 0.4402 674/3183 [=====>........................] - ETA: 1:09 - loss: 162.3164 - logits_profile_predictions_loss: 159.9828 - logcount_predictions_loss: 0.4403 676/3183 [=====>........................] - ETA: 1:09 - loss: 162.2705 - 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[============================>.] - ETA: 0s - loss: 162.6074 - logits_profile_predictions_loss: 160.2536 - logcount_predictions_loss: 0.4441 3149/3183 [============================>.] - ETA: 0s - loss: 162.5997 - logits_profile_predictions_loss: 160.2457 - logcount_predictions_loss: 0.4442 3151/3183 [============================>.] - ETA: 0s - loss: 162.6013 - logits_profile_predictions_loss: 160.2473 - logcount_predictions_loss: 0.4442 3153/3183 [============================>.] - ETA: 0s - loss: 162.5960 - logits_profile_predictions_loss: 160.2415 - logcount_predictions_loss: 0.4443 3155/3183 [============================>.] - ETA: 0s - loss: 162.5919 - logits_profile_predictions_loss: 160.2377 - logcount_predictions_loss: 0.4442 3157/3183 [============================>.] - ETA: 0s - loss: 162.5903 - logits_profile_predictions_loss: 160.2359 - logcount_predictions_loss: 0.4443 3159/3183 [============================>.] - ETA: 0s - loss: 162.5881 - logits_profile_predictions_loss: 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loss: 162.5839 - logits_profile_predictions_loss: 160.2295 - logcount_predictions_loss: 0.4443 3175/3183 [============================>.] - ETA: 0s - loss: 162.5871 - logits_profile_predictions_loss: 160.2330 - logcount_predictions_loss: 0.4442 3177/3183 [============================>.] - ETA: 0s - loss: 162.5971 - logits_profile_predictions_loss: 160.2430 - logcount_predictions_loss: 0.4442 3179/3183 [============================>.] - ETA: 0s - loss: 162.5963 - logits_profile_predictions_loss: 160.2423 - logcount_predictions_loss: 0.4442 3181/3183 [============================>.] - ETA: 0s - loss: 162.5949 - logits_profile_predictions_loss: 160.2410 - logcount_predictions_loss: 0.4442 3183/3183 [==============================] - ETA: 0s - loss: 162.5906 - logits_profile_predictions_loss: 160.2370 - logcount_predictions_loss: 0.4441 Epoch 7: val_loss did not improve from 164.96042  3183/3183 [==============================] - 92s 29ms/step - loss: 162.5906 - logits_profile_predictions_loss: 160.2370 - logcount_predictions_loss: 0.4441 - val_loss: 165.1702 - val_logits_profile_predictions_loss: 163.1239 - val_logcount_predictions_loss: 0.3861 Epoch 8/50 1/3183 [..............................] - ETA: 2:24 - loss: 167.2083 - logits_profile_predictions_loss: 164.5683 - logcount_predictions_loss: 0.4981 3/3183 [..............................] - ETA: 1:41 - loss: 161.5630 - logits_profile_predictions_loss: 159.2862 - logcount_predictions_loss: 0.4296 5/3183 [..............................] - ETA: 1:41 - loss: 160.9046 - logits_profile_predictions_loss: 158.8330 - logcount_predictions_loss: 0.3909 7/3183 [..............................] - ETA: 1:39 - loss: 160.7346 - logits_profile_predictions_loss: 158.5942 - logcount_predictions_loss: 0.4038 9/3183 [..............................] - ETA: 1:35 - loss: 164.4582 - logits_profile_predictions_loss: 162.3085 - logcount_predictions_loss: 0.4056 11/3183 [..............................] - ETA: 1:34 - loss: 165.0578 - logits_profile_predictions_loss: 162.7987 - logcount_predictions_loss: 0.4263 13/3183 [..............................] - ETA: 1:33 - loss: 165.9810 - logits_profile_predictions_loss: 163.7346 - logcount_predictions_loss: 0.4239 15/3183 [..............................] - ETA: 1:32 - loss: 165.8137 - logits_profile_predictions_loss: 163.4930 - logcount_predictions_loss: 0.4379 17/3183 [..............................] - ETA: 1:31 - loss: 165.7883 - logits_profile_predictions_loss: 163.5071 - logcount_predictions_loss: 0.4304 19/3183 [..............................] - ETA: 1:31 - loss: 165.0838 - logits_profile_predictions_loss: 162.7466 - logcount_predictions_loss: 0.4410 21/3183 [..............................] - ETA: 1:30 - loss: 165.1283 - logits_profile_predictions_loss: 162.7998 - logcount_predictions_loss: 0.4394 23/3183 [..............................] - ETA: 1:30 - loss: 164.6530 - logits_profile_predictions_loss: 162.3179 - logcount_predictions_loss: 0.4406 25/3183 [..............................] - ETA: 1:30 - loss: 164.5692 - logits_profile_predictions_loss: 162.2929 - logcount_predictions_loss: 0.4295 27/3183 [..............................] - ETA: 1:29 - loss: 164.3553 - logits_profile_predictions_loss: 161.9989 - logcount_predictions_loss: 0.4446 29/3183 [..............................] - ETA: 1:29 - loss: 163.5449 - logits_profile_predictions_loss: 161.1634 - logcount_predictions_loss: 0.4493 31/3183 [..............................] - ETA: 1:29 - loss: 163.4913 - logits_profile_predictions_loss: 161.1095 - logcount_predictions_loss: 0.4494 33/3183 [..............................] - ETA: 1:29 - loss: 163.5323 - logits_profile_predictions_loss: 161.1267 - logcount_predictions_loss: 0.4539 35/3183 [..............................] - ETA: 1:29 - loss: 163.9258 - logits_profile_predictions_loss: 161.5431 - logcount_predictions_loss: 0.4496 37/3183 [..............................] - ETA: 1:28 - loss: 164.2267 - logits_profile_predictions_loss: 161.8526 - logcount_predictions_loss: 0.4479 39/3183 [..............................] - ETA: 1:28 - loss: 164.3245 - logits_profile_predictions_loss: 161.9465 - logcount_predictions_loss: 0.4487 41/3183 [..............................] - ETA: 1:28 - loss: 164.1655 - logits_profile_predictions_loss: 161.8047 - logcount_predictions_loss: 0.4454 43/3183 [..............................] - ETA: 1:28 - loss: 164.3248 - logits_profile_predictions_loss: 161.9590 - logcount_predictions_loss: 0.4464 45/3183 [..............................] - ETA: 1:28 - loss: 164.1374 - logits_profile_predictions_loss: 161.7769 - logcount_predictions_loss: 0.4454 47/3183 [..............................] - ETA: 1:28 - loss: 164.3497 - logits_profile_predictions_loss: 161.9954 - logcount_predictions_loss: 0.4442 49/3183 [..............................] - ETA: 1:27 - loss: 164.5017 - logits_profile_predictions_loss: 162.1561 - logcount_predictions_loss: 0.4426 51/3183 [..............................] - ETA: 1:27 - loss: 164.4883 - logits_profile_predictions_loss: 162.1352 - logcount_predictions_loss: 0.4440 53/3183 [..............................] - ETA: 1:27 - loss: 164.6133 - logits_profile_predictions_loss: 162.2365 - logcount_predictions_loss: 0.4485 55/3183 [..............................] - ETA: 1:27 - loss: 164.3260 - logits_profile_predictions_loss: 161.9541 - logcount_predictions_loss: 0.4475 57/3183 [..............................] - ETA: 1:27 - loss: 164.1660 - logits_profile_predictions_loss: 161.7887 - logcount_predictions_loss: 0.4485 59/3183 [..............................] - ETA: 1:27 - loss: 164.2694 - logits_profile_predictions_loss: 161.8817 - logcount_predictions_loss: 0.4505 61/3183 [..............................] - ETA: 1:27 - loss: 164.0824 - logits_profile_predictions_loss: 161.6757 - logcount_predictions_loss: 0.4541 63/3183 [..............................] - ETA: 1:27 - loss: 163.8426 - logits_profile_predictions_loss: 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164.8674 - val_logits_profile_predictions_loss: 163.0456 - val_logcount_predictions_loss: 0.3437 Epoch 9/50 1/3183 [..............................] - ETA: 2:25 - loss: 164.4120 - logits_profile_predictions_loss: 161.8687 - logcount_predictions_loss: 0.4799 3/3183 [..............................] - ETA: 1:42 - loss: 166.9155 - logits_profile_predictions_loss: 164.6334 - logcount_predictions_loss: 0.4306 5/3183 [..............................] - ETA: 1:41 - loss: 165.0665 - logits_profile_predictions_loss: 162.8345 - logcount_predictions_loss: 0.4211 7/3183 [..............................] - ETA: 1:40 - loss: 162.8431 - logits_profile_predictions_loss: 160.6927 - logcount_predictions_loss: 0.4057 9/3183 [..............................] - ETA: 1:36 - loss: 165.8710 - logits_profile_predictions_loss: 163.7808 - logcount_predictions_loss: 0.3944 11/3183 [..............................] - ETA: 1:34 - loss: 164.0765 - logits_profile_predictions_loss: 161.9714 - logcount_predictions_loss: 0.3972 13/3183 [..............................] - ETA: 1:33 - loss: 164.1840 - logits_profile_predictions_loss: 161.9558 - logcount_predictions_loss: 0.4204 15/3183 [..............................] - ETA: 1:32 - loss: 164.5898 - logits_profile_predictions_loss: 162.3797 - logcount_predictions_loss: 0.4170 17/3183 [..............................] - ETA: 1:32 - loss: 164.7559 - logits_profile_predictions_loss: 162.5483 - logcount_predictions_loss: 0.4165 19/3183 [..............................] - ETA: 1:31 - loss: 164.4539 - logits_profile_predictions_loss: 162.1866 - logcount_predictions_loss: 0.4278 21/3183 [..............................] - ETA: 1:31 - loss: 162.9178 - logits_profile_predictions_loss: 160.6330 - logcount_predictions_loss: 0.4311 23/3183 [..............................] - ETA: 1:30 - loss: 163.3827 - logits_profile_predictions_loss: 161.0891 - logcount_predictions_loss: 0.4327 25/3183 [..............................] - ETA: 1:30 - loss: 162.8735 - logits_profile_predictions_loss: 160.6168 - logcount_predictions_loss: 0.4258 27/3183 [..............................] - ETA: 1:30 - loss: 163.1905 - logits_profile_predictions_loss: 160.9231 - logcount_predictions_loss: 0.4278 29/3183 [..............................] - ETA: 1:29 - loss: 162.7137 - logits_profile_predictions_loss: 160.4169 - logcount_predictions_loss: 0.4334 31/3183 [..............................] - ETA: 1:29 - loss: 162.0007 - logits_profile_predictions_loss: 159.6992 - logcount_predictions_loss: 0.4342 33/3183 [..............................] - ETA: 1:29 - loss: 161.6197 - logits_profile_predictions_loss: 159.2811 - logcount_predictions_loss: 0.4413 35/3183 [..............................] - ETA: 1:29 - loss: 161.7616 - logits_profile_predictions_loss: 159.3829 - logcount_predictions_loss: 0.4488 37/3183 [..............................] - ETA: 1:29 - loss: 162.6593 - logits_profile_predictions_loss: 160.3280 - logcount_predictions_loss: 0.4399 39/3183 [..............................] - ETA: 1:28 - loss: 163.1501 - logits_profile_predictions_loss: 160.8466 - logcount_predictions_loss: 0.4346 41/3183 [..............................] - ETA: 1:28 - loss: 162.9348 - logits_profile_predictions_loss: 160.6173 - logcount_predictions_loss: 0.4373 43/3183 [..............................] - ETA: 1:28 - loss: 162.8306 - logits_profile_predictions_loss: 160.5265 - logcount_predictions_loss: 0.4347 45/3183 [..............................] - ETA: 1:28 - loss: 163.1598 - logits_profile_predictions_loss: 160.8647 - logcount_predictions_loss: 0.4330 47/3183 [..............................] - ETA: 1:28 - loss: 163.2533 - logits_profile_predictions_loss: 160.9691 - logcount_predictions_loss: 0.4310 49/3183 [..............................] - ETA: 1:28 - loss: 163.1720 - logits_profile_predictions_loss: 160.8932 - logcount_predictions_loss: 0.4300 51/3183 [..............................] - ETA: 1:28 - loss: 163.2158 - logits_profile_predictions_loss: 160.8981 - logcount_predictions_loss: 0.4373 53/3183 [..............................] - ETA: 1:27 - loss: 163.0652 - logits_profile_predictions_loss: 160.7600 - logcount_predictions_loss: 0.4349 55/3183 [..............................] - ETA: 1:27 - loss: 163.0911 - logits_profile_predictions_loss: 160.7889 - logcount_predictions_loss: 0.4344 57/3183 [..............................] - ETA: 1:27 - loss: 163.2024 - logits_profile_predictions_loss: 160.8815 - logcount_predictions_loss: 0.4379 59/3183 [..............................] - ETA: 1:27 - loss: 163.1125 - logits_profile_predictions_loss: 160.8096 - logcount_predictions_loss: 0.4345 61/3183 [..............................] - ETA: 1:27 - loss: 163.3634 - logits_profile_predictions_loss: 161.0539 - logcount_predictions_loss: 0.4358 63/3183 [..............................] - ETA: 1:27 - loss: 163.3671 - logits_profile_predictions_loss: 161.0879 - logcount_predictions_loss: 0.4300 65/3183 [..............................] - ETA: 1:27 - loss: 163.7737 - logits_profile_predictions_loss: 161.4932 - logcount_predictions_loss: 0.4303 67/3183 [..............................] - ETA: 1:27 - loss: 163.7505 - logits_profile_predictions_loss: 161.4694 - logcount_predictions_loss: 0.4304 69/3183 [..............................] - ETA: 1:27 - loss: 163.6477 - logits_profile_predictions_loss: 161.3543 - logcount_predictions_loss: 0.4327 71/3183 [..............................] - ETA: 1:27 - loss: 163.9272 - logits_profile_predictions_loss: 161.6325 - logcount_predictions_loss: 0.4330 73/3183 [..............................] - ETA: 1:27 - loss: 163.9356 - logits_profile_predictions_loss: 161.6114 - logcount_predictions_loss: 0.4385 75/3183 [..............................] - ETA: 1:26 - loss: 163.8247 - logits_profile_predictions_loss: 161.5007 - logcount_predictions_loss: 0.4385 77/3183 [..............................] - ETA: 1:26 - loss: 163.8078 - logits_profile_predictions_loss: 161.4912 - logcount_predictions_loss: 0.4371 79/3183 [..............................] - ETA: 1:26 - loss: 164.1003 - logits_profile_predictions_loss: 161.7681 - logcount_predictions_loss: 0.4400 81/3183 [..............................] - ETA: 1:26 - loss: 164.1114 - logits_profile_predictions_loss: 161.7834 - logcount_predictions_loss: 0.4392 83/3183 [..............................] - ETA: 1:26 - loss: 163.9562 - logits_profile_predictions_loss: 161.6289 - logcount_predictions_loss: 0.4391 85/3183 [..............................] - ETA: 1:26 - loss: 164.0040 - logits_profile_predictions_loss: 161.6702 - logcount_predictions_loss: 0.4403 87/3183 [..............................] - ETA: 1:26 - loss: 164.0919 - logits_profile_predictions_loss: 161.7633 - logcount_predictions_loss: 0.4394 89/3183 [..............................] - ETA: 1:26 - loss: 163.6738 - logits_profile_predictions_loss: 161.3487 - logcount_predictions_loss: 0.4387 91/3183 [..............................] - ETA: 1:26 - loss: 163.7082 - logits_profile_predictions_loss: 161.3878 - logcount_predictions_loss: 0.4378 93/3183 [..............................] - ETA: 1:26 - loss: 163.7327 - logits_profile_predictions_loss: 161.4104 - logcount_predictions_loss: 0.4382 95/3183 [..............................] - ETA: 1:26 - loss: 163.5738 - logits_profile_predictions_loss: 161.2559 - logcount_predictions_loss: 0.4373 97/3183 [..............................] - ETA: 1:26 - loss: 163.5194 - logits_profile_predictions_loss: 161.2102 - logcount_predictions_loss: 0.4357 99/3183 [..............................] - ETA: 1:26 - loss: 163.4387 - logits_profile_predictions_loss: 161.1294 - logcount_predictions_loss: 0.4357 101/3183 [..............................] - ETA: 1:26 - loss: 163.5498 - logits_profile_predictions_loss: 161.2489 - logcount_predictions_loss: 0.4341 103/3183 [..............................] - ETA: 1:25 - loss: 163.5407 - logits_profile_predictions_loss: 161.2394 - logcount_predictions_loss: 0.4342 105/3183 [..............................] - ETA: 1:25 - loss: 163.5378 - logits_profile_predictions_loss: 161.2401 - logcount_predictions_loss: 0.4335 107/3183 [>.............................] - ETA: 1:25 - loss: 163.5780 - logits_profile_predictions_loss: 161.2848 - logcount_predictions_loss: 0.4327 109/3183 [>.............................] - ETA: 1:25 - loss: 163.7014 - logits_profile_predictions_loss: 161.4178 - logcount_predictions_loss: 0.4309 111/3183 [>.............................] - ETA: 1:25 - loss: 163.5749 - logits_profile_predictions_loss: 161.2793 - logcount_predictions_loss: 0.4331 113/3183 [>.............................] - ETA: 1:25 - loss: 163.6035 - logits_profile_predictions_loss: 161.3117 - logcount_predictions_loss: 0.4324 115/3183 [>.............................] - ETA: 1:25 - loss: 163.5195 - logits_profile_predictions_loss: 161.2164 - logcount_predictions_loss: 0.4345 117/3183 [>.............................] - ETA: 1:25 - loss: 163.4240 - logits_profile_predictions_loss: 161.1124 - logcount_predictions_loss: 0.4361 119/3183 [>.............................] - ETA: 1:25 - loss: 163.4415 - logits_profile_predictions_loss: 161.1180 - logcount_predictions_loss: 0.4384 121/3183 [>.............................] - ETA: 1:25 - loss: 163.5159 - logits_profile_predictions_loss: 161.1961 - logcount_predictions_loss: 0.4377 123/3183 [>.............................] - ETA: 1:25 - loss: 163.5934 - logits_profile_predictions_loss: 161.2631 - logcount_predictions_loss: 0.4397 125/3183 [>.............................] - ETA: 1:25 - loss: 163.5724 - logits_profile_predictions_loss: 161.2431 - logcount_predictions_loss: 0.4395 127/3183 [>.............................] - ETA: 1:25 - loss: 163.7251 - logits_profile_predictions_loss: 161.4076 - logcount_predictions_loss: 0.4373 129/3183 [>.............................] - ETA: 1:25 - loss: 163.7798 - logits_profile_predictions_loss: 161.4570 - logcount_predictions_loss: 0.4383 131/3183 [>.............................] - ETA: 1:24 - loss: 163.8137 - logits_profile_predictions_loss: 161.4856 - logcount_predictions_loss: 0.4393 133/3183 [>.............................] - ETA: 1:24 - loss: 163.8623 - logits_profile_predictions_loss: 161.5373 - logcount_predictions_loss: 0.4387 135/3183 [>.............................] - ETA: 1:24 - loss: 163.7303 - logits_profile_predictions_loss: 161.4107 - logcount_predictions_loss: 0.4377 137/3183 [>.............................] - ETA: 1:24 - loss: 163.6336 - logits_profile_predictions_loss: 161.3150 - logcount_predictions_loss: 0.4375 139/3183 [>.............................] - ETA: 1:24 - loss: 163.5406 - logits_profile_predictions_loss: 161.2153 - logcount_predictions_loss: 0.4387 141/3183 [>.............................] - ETA: 1:24 - loss: 163.6080 - logits_profile_predictions_loss: 161.2787 - logcount_predictions_loss: 0.4395 143/3183 [>.............................] - ETA: 1:24 - loss: 163.6045 - logits_profile_predictions_loss: 161.2819 - logcount_predictions_loss: 0.4382 145/3183 [>.............................] - ETA: 1:24 - loss: 163.4360 - logits_profile_predictions_loss: 161.1124 - logcount_predictions_loss: 0.4384 147/3183 [>.............................] - ETA: 1:24 - loss: 163.5851 - logits_profile_predictions_loss: 161.2622 - logcount_predictions_loss: 0.4383 149/3183 [>.............................] - ETA: 1:24 - loss: 163.5891 - logits_profile_predictions_loss: 161.2660 - logcount_predictions_loss: 0.4383 151/3183 [>.............................] - ETA: 1:24 - loss: 163.6695 - logits_profile_predictions_loss: 161.3436 - logcount_predictions_loss: 0.4388 153/3183 [>.............................] - ETA: 1:24 - loss: 163.5498 - logits_profile_predictions_loss: 161.2269 - logcount_predictions_loss: 0.4383 155/3183 [>.............................] - ETA: 1:24 - loss: 163.4458 - logits_profile_predictions_loss: 161.1302 - logcount_predictions_loss: 0.4369 157/3183 [>.............................] - ETA: 1:24 - loss: 163.4999 - logits_profile_predictions_loss: 161.1876 - logcount_predictions_loss: 0.4363 159/3183 [>.............................] - ETA: 1:24 - loss: 163.4757 - logits_profile_predictions_loss: 161.1665 - logcount_predictions_loss: 0.4357 161/3183 [>.............................] - ETA: 1:24 - loss: 163.4681 - logits_profile_predictions_loss: 161.1578 - logcount_predictions_loss: 0.4359 163/3183 [>.............................] - ETA: 1:24 - loss: 163.5547 - logits_profile_predictions_loss: 161.2472 - logcount_predictions_loss: 0.4354 165/3183 [>.............................] - ETA: 1:23 - loss: 163.4196 - logits_profile_predictions_loss: 161.1117 - logcount_predictions_loss: 0.4354 167/3183 [>.............................] - ETA: 1:23 - loss: 163.5748 - logits_profile_predictions_loss: 161.2747 - logcount_predictions_loss: 0.4340 169/3183 [>.............................] - ETA: 1:23 - loss: 163.5819 - logits_profile_predictions_loss: 161.2887 - logcount_predictions_loss: 0.4327 171/3183 [>.............................] - ETA: 1:23 - loss: 163.6277 - logits_profile_predictions_loss: 161.3343 - logcount_predictions_loss: 0.4327 173/3183 [>.............................] - ETA: 1:23 - loss: 163.6180 - logits_profile_predictions_loss: 161.3271 - logcount_predictions_loss: 0.4322 175/3183 [>.............................] - ETA: 1:23 - loss: 163.4150 - logits_profile_predictions_loss: 161.1254 - logcount_predictions_loss: 0.4320 177/3183 [>.............................] - ETA: 1:23 - loss: 163.3641 - logits_profile_predictions_loss: 161.0758 - logcount_predictions_loss: 0.4318 179/3183 [>.............................] - ETA: 1:23 - loss: 163.3628 - logits_profile_predictions_loss: 161.0760 - logcount_predictions_loss: 0.4315 181/3183 [>.............................] - ETA: 1:23 - loss: 163.2975 - logits_profile_predictions_loss: 161.0184 - logcount_predictions_loss: 0.4300 183/3183 [>.............................] - ETA: 1:23 - loss: 163.3129 - logits_profile_predictions_loss: 161.0328 - logcount_predictions_loss: 0.4302 185/3183 [>.............................] - ETA: 1:23 - loss: 163.3102 - logits_profile_predictions_loss: 161.0355 - logcount_predictions_loss: 0.4292 187/3183 [>.............................] - ETA: 1:23 - loss: 163.3244 - logits_profile_predictions_loss: 161.0459 - logcount_predictions_loss: 0.4299 189/3183 [>.............................] - ETA: 1:23 - loss: 163.3972 - logits_profile_predictions_loss: 161.1265 - logcount_predictions_loss: 0.4284 191/3183 [>.............................] - ETA: 1:23 - loss: 163.3489 - logits_profile_predictions_loss: 161.0856 - logcount_predictions_loss: 0.4270 193/3183 [>.............................] - ETA: 1:23 - loss: 163.2325 - logits_profile_predictions_loss: 160.9701 - logcount_predictions_loss: 0.4269 195/3183 [>.............................] - ETA: 1:23 - loss: 163.3253 - logits_profile_predictions_loss: 161.0673 - logcount_predictions_loss: 0.4261 197/3183 [>.............................] - ETA: 1:22 - loss: 163.3527 - logits_profile_predictions_loss: 161.1010 - logcount_predictions_loss: 0.4249 199/3183 [>.............................] - ETA: 1:22 - loss: 163.2950 - logits_profile_predictions_loss: 161.0351 - logcount_predictions_loss: 0.4264 200/3183 [>.............................] - ETA: 1:23 - loss: 163.2904 - logits_profile_predictions_loss: 161.0267 - logcount_predictions_loss: 0.4271 202/3183 [>.............................] - ETA: 1:23 - loss: 163.2305 - logits_profile_predictions_loss: 160.9696 - logcount_predictions_loss: 0.4266 204/3183 [>.............................] - ETA: 1:23 - loss: 163.2383 - logits_profile_predictions_loss: 160.9688 - logcount_predictions_loss: 0.4282 206/3183 [>.............................] - ETA: 1:23 - loss: 163.3097 - logits_profile_predictions_loss: 161.0398 - logcount_predictions_loss: 0.4283 208/3183 [>.............................] - ETA: 1:23 - loss: 163.3495 - logits_profile_predictions_loss: 161.0833 - logcount_predictions_loss: 0.4276 210/3183 [>.............................] - ETA: 1:22 - loss: 163.3188 - logits_profile_predictions_loss: 161.0485 - logcount_predictions_loss: 0.4284 212/3183 [>.............................] - ETA: 1:22 - loss: 163.3172 - logits_profile_predictions_loss: 161.0473 - logcount_predictions_loss: 0.4283 214/3183 [=>............................] - ETA: 1:22 - loss: 163.2984 - logits_profile_predictions_loss: 161.0249 - logcount_predictions_loss: 0.4290 216/3183 [=>............................] - ETA: 1:22 - loss: 163.3993 - logits_profile_predictions_loss: 161.1240 - logcount_predictions_loss: 0.4293 218/3183 [=>............................] - ETA: 1:22 - loss: 163.3800 - logits_profile_predictions_loss: 161.1084 - logcount_predictions_loss: 0.4286 220/3183 [=>............................] - ETA: 1:22 - loss: 163.3826 - logits_profile_predictions_loss: 161.1067 - logcount_predictions_loss: 0.4294 222/3183 [=>............................] - ETA: 1:22 - loss: 163.4733 - logits_profile_predictions_loss: 161.1985 - logcount_predictions_loss: 0.4292 224/3183 [=>............................] - ETA: 1:22 - loss: 163.5110 - logits_profile_predictions_loss: 161.2389 - logcount_predictions_loss: 0.4287 226/3183 [=>............................] - ETA: 1:22 - loss: 163.4428 - logits_profile_predictions_loss: 161.1728 - logcount_predictions_loss: 0.4283 228/3183 [=>............................] - ETA: 1:22 - loss: 163.4127 - logits_profile_predictions_loss: 161.1449 - logcount_predictions_loss: 0.4279 230/3183 [=>............................] - ETA: 1:22 - loss: 163.4182 - logits_profile_predictions_loss: 161.1503 - logcount_predictions_loss: 0.4279 232/3183 [=>............................] - ETA: 1:22 - loss: 163.2783 - logits_profile_predictions_loss: 161.0117 - logcount_predictions_loss: 0.4277 234/3183 [=>............................] - ETA: 1:22 - loss: 163.2621 - logits_profile_predictions_loss: 160.9898 - logcount_predictions_loss: 0.4288 236/3183 [=>............................] - ETA: 1:22 - loss: 163.2142 - logits_profile_predictions_loss: 160.9384 - logcount_predictions_loss: 0.4294 238/3183 [=>............................] - ETA: 1:22 - loss: 163.2475 - logits_profile_predictions_loss: 160.9748 - logcount_predictions_loss: 0.4288 240/3183 [=>............................] - ETA: 1:22 - loss: 163.1724 - logits_profile_predictions_loss: 160.9053 - logcount_predictions_loss: 0.4278 242/3183 [=>............................] - ETA: 1:22 - loss: 163.1188 - logits_profile_predictions_loss: 160.8530 - logcount_predictions_loss: 0.4275 244/3183 [=>............................] - ETA: 1:21 - loss: 163.1365 - logits_profile_predictions_loss: 160.8694 - logcount_predictions_loss: 0.4278 246/3183 [=>............................] - ETA: 1:21 - loss: 163.1490 - logits_profile_predictions_loss: 160.8716 - logcount_predictions_loss: 0.4297 248/3183 [=>............................] - ETA: 1:21 - loss: 163.1056 - logits_profile_predictions_loss: 160.8242 - logcount_predictions_loss: 0.4305 250/3183 [=>............................] - ETA: 1:21 - loss: 163.0647 - logits_profile_predictions_loss: 160.7876 - logcount_predictions_loss: 0.4297 252/3183 [=>............................] - ETA: 1:21 - loss: 163.0863 - logits_profile_predictions_loss: 160.8113 - logcount_predictions_loss: 0.4292 254/3183 [=>............................] - ETA: 1:21 - loss: 163.0903 - logits_profile_predictions_loss: 160.8153 - logcount_predictions_loss: 0.4292 256/3183 [=>............................] - ETA: 1:21 - loss: 163.1439 - logits_profile_predictions_loss: 160.8727 - logcount_predictions_loss: 0.4285 258/3183 [=>............................] - ETA: 1:21 - loss: 163.2702 - logits_profile_predictions_loss: 160.9979 - logcount_predictions_loss: 0.4287 260/3183 [=>............................] - ETA: 1:21 - loss: 163.2540 - logits_profile_predictions_loss: 160.9792 - logcount_predictions_loss: 0.4292 262/3183 [=>............................] - ETA: 1:21 - loss: 163.2985 - logits_profile_predictions_loss: 161.0265 - logcount_predictions_loss: 0.4287 264/3183 [=>............................] - ETA: 1:21 - loss: 163.2442 - logits_profile_predictions_loss: 160.9659 - logcount_predictions_loss: 0.4299 266/3183 [=>............................] - ETA: 1:21 - loss: 163.1904 - logits_profile_predictions_loss: 160.9130 - logcount_predictions_loss: 0.4297 268/3183 [=>............................] - ETA: 1:21 - loss: 163.2400 - logits_profile_predictions_loss: 160.9628 - logcount_predictions_loss: 0.4297 270/3183 [=>............................] - ETA: 1:21 - loss: 163.2692 - logits_profile_predictions_loss: 160.9935 - logcount_predictions_loss: 0.4294 272/3183 [=>............................] - ETA: 1:21 - loss: 163.2799 - 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3134/3183 [============================>.] - ETA: 1s - loss: 162.4519 - logits_profile_predictions_loss: 160.1520 - logcount_predictions_loss: 0.4339 3136/3183 [============================>.] - ETA: 1s - loss: 162.4526 - logits_profile_predictions_loss: 160.1528 - logcount_predictions_loss: 0.4339 3138/3183 [============================>.] - ETA: 1s - loss: 162.4557 - logits_profile_predictions_loss: 160.1561 - logcount_predictions_loss: 0.4339 3140/3183 [============================>.] - ETA: 1s - loss: 162.4605 - logits_profile_predictions_loss: 160.1610 - logcount_predictions_loss: 0.4338 3142/3183 [============================>.] - ETA: 1s - loss: 162.4629 - logits_profile_predictions_loss: 160.1630 - logcount_predictions_loss: 0.4339 3144/3183 [============================>.] - ETA: 1s - loss: 162.4616 - logits_profile_predictions_loss: 160.1619 - logcount_predictions_loss: 0.4339 3146/3183 [============================>.] - ETA: 1s - loss: 162.4612 - logits_profile_predictions_loss: 160.1611 - logcount_predictions_loss: 0.4339 3148/3183 [============================>.] - ETA: 0s - loss: 162.4553 - logits_profile_predictions_loss: 160.1551 - logcount_predictions_loss: 0.4340 3150/3183 [============================>.] - ETA: 0s - loss: 162.4539 - logits_profile_predictions_loss: 160.1538 - logcount_predictions_loss: 0.4339 3152/3183 [============================>.] - ETA: 0s - loss: 162.4644 - logits_profile_predictions_loss: 160.1645 - logcount_predictions_loss: 0.4339 3154/3183 [============================>.] - ETA: 0s - loss: 162.4676 - logits_profile_predictions_loss: 160.1671 - logcount_predictions_loss: 0.4340 3156/3183 [============================>.] - ETA: 0s - loss: 162.4611 - logits_profile_predictions_loss: 160.1600 - logcount_predictions_loss: 0.4341 3158/3183 [============================>.] - ETA: 0s - loss: 162.4597 - logits_profile_predictions_loss: 160.1585 - logcount_predictions_loss: 0.4341 3160/3183 [============================>.] - ETA: 0s - loss: 162.4689 - logits_profile_predictions_loss: 160.1680 - logcount_predictions_loss: 0.4341 3162/3183 [============================>.] - ETA: 0s - loss: 162.4707 - logits_profile_predictions_loss: 160.1700 - logcount_predictions_loss: 0.4341 3164/3183 [============================>.] - ETA: 0s - loss: 162.4754 - logits_profile_predictions_loss: 160.1749 - logcount_predictions_loss: 0.4340 3166/3183 [============================>.] - ETA: 0s - loss: 162.4818 - logits_profile_predictions_loss: 160.1813 - logcount_predictions_loss: 0.4340 3168/3183 [============================>.] - ETA: 0s - loss: 162.4811 - logits_profile_predictions_loss: 160.1805 - logcount_predictions_loss: 0.4340 3170/3183 [============================>.] - ETA: 0s - loss: 162.4771 - logits_profile_predictions_loss: 160.1765 - logcount_predictions_loss: 0.4340 3172/3183 [============================>.] - ETA: 0s - loss: 162.4734 - logits_profile_predictions_loss: 160.1730 - logcount_predictions_loss: 0.4340 3174/3183 [============================>.] - ETA: 0s - loss: 162.4729 - logits_profile_predictions_loss: 160.1720 - logcount_predictions_loss: 0.4341 3176/3183 [============================>.] - ETA: 0s - loss: 162.4759 - logits_profile_predictions_loss: 160.1750 - logcount_predictions_loss: 0.4341 3178/3183 [============================>.] - ETA: 0s - loss: 162.4722 - logits_profile_predictions_loss: 160.1711 - logcount_predictions_loss: 0.4341 3180/3183 [============================>.] - ETA: 0s - loss: 162.4681 - logits_profile_predictions_loss: 160.1674 - logcount_predictions_loss: 0.4341 3182/3183 [============================>.] - ETA: 0s - loss: 162.4707 - logits_profile_predictions_loss: 160.1700 - logcount_predictions_loss: 0.4341 Epoch 9: val_loss improved from 164.86742 to 164.66721, saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 92s 29ms/step - loss: 162.4703 - logits_profile_predictions_loss: 160.1698 - logcount_predictions_loss: 0.4340 - val_loss: 164.6672 - val_logits_profile_predictions_loss: 162.9924 - val_logcount_predictions_loss: 0.3160 Epoch 10/50 1/3183 [..............................] - ETA: 2:24 - loss: 154.6755 - logits_profile_predictions_loss: 152.4031 - logcount_predictions_loss: 0.4288 3/3183 [..............................] - ETA: 1:40 - loss: 159.6003 - logits_profile_predictions_loss: 157.4495 - logcount_predictions_loss: 0.4058 5/3183 [..............................] - ETA: 1:41 - loss: 164.0426 - logits_profile_predictions_loss: 162.0716 - logcount_predictions_loss: 0.3719 7/3183 [..............................] - ETA: 1:41 - loss: 165.5416 - logits_profile_predictions_loss: 163.3775 - logcount_predictions_loss: 0.4083 9/3183 [..............................] - ETA: 1:38 - loss: 164.6939 - logits_profile_predictions_loss: 162.5413 - logcount_predictions_loss: 0.4062 11/3183 [..............................] - ETA: 1:36 - loss: 164.5396 - logits_profile_predictions_loss: 162.4272 - logcount_predictions_loss: 0.3986 13/3183 [..............................] - ETA: 1:34 - loss: 162.9947 - logits_profile_predictions_loss: 160.8200 - logcount_predictions_loss: 0.4103 15/3183 [..............................] - ETA: 1:33 - loss: 161.9124 - logits_profile_predictions_loss: 159.7147 - logcount_predictions_loss: 0.4147 17/3183 [..............................] - ETA: 1:32 - loss: 160.9676 - logits_profile_predictions_loss: 158.6767 - logcount_predictions_loss: 0.4323 19/3183 [..............................] - ETA: 1:31 - loss: 161.1197 - logits_profile_predictions_loss: 158.7695 - logcount_predictions_loss: 0.4434 21/3183 [..............................] - ETA: 1:31 - loss: 161.7551 - logits_profile_predictions_loss: 159.4770 - logcount_predictions_loss: 0.4298 23/3183 [..............................] - ETA: 1:31 - loss: 162.0036 - logits_profile_predictions_loss: 159.7837 - logcount_predictions_loss: 0.4188 25/3183 [..............................] - ETA: 1:30 - loss: 162.5586 - logits_profile_predictions_loss: 160.3597 - logcount_predictions_loss: 0.4149 27/3183 [..............................] - ETA: 1:30 - loss: 162.6933 - logits_profile_predictions_loss: 160.4922 - logcount_predictions_loss: 0.4153 29/3183 [..............................] - ETA: 1:29 - loss: 162.7389 - logits_profile_predictions_loss: 160.5042 - logcount_predictions_loss: 0.4216 31/3183 [..............................] - ETA: 1:29 - loss: 163.1652 - logits_profile_predictions_loss: 160.9019 - logcount_predictions_loss: 0.4270 33/3183 [..............................] - ETA: 1:29 - loss: 163.3614 - logits_profile_predictions_loss: 161.1193 - logcount_predictions_loss: 0.4230 35/3183 [..............................] - ETA: 1:29 - loss: 163.1923 - logits_profile_predictions_loss: 160.9476 - logcount_predictions_loss: 0.4235 37/3183 [..............................] - ETA: 1:29 - loss: 162.7617 - logits_profile_predictions_loss: 160.5361 - logcount_predictions_loss: 0.4199 39/3183 [..............................] - ETA: 1:28 - loss: 163.0115 - logits_profile_predictions_loss: 160.7873 - logcount_predictions_loss: 0.4197 41/3183 [..............................] - ETA: 1:28 - loss: 163.7021 - logits_profile_predictions_loss: 161.4658 - logcount_predictions_loss: 0.4219 43/3183 [..............................] - ETA: 1:28 - loss: 163.3174 - logits_profile_predictions_loss: 161.0467 - logcount_predictions_loss: 0.4284 45/3183 [..............................] - ETA: 1:28 - loss: 163.5739 - logits_profile_predictions_loss: 161.3211 - logcount_predictions_loss: 0.4251 47/3183 [..............................] - ETA: 1:28 - loss: 163.4010 - logits_profile_predictions_loss: 161.1482 - logcount_predictions_loss: 0.4251 49/3183 [..............................] - ETA: 1:28 - loss: 163.1077 - logits_profile_predictions_loss: 160.8530 - logcount_predictions_loss: 0.4254 51/3183 [..............................] - ETA: 1:27 - loss: 163.3786 - logits_profile_predictions_loss: 161.1409 - logcount_predictions_loss: 0.4222 53/3183 [..............................] - ETA: 1:27 - loss: 163.4041 - logits_profile_predictions_loss: 161.1710 - logcount_predictions_loss: 0.4213 55/3183 [..............................] - ETA: 1:27 - loss: 163.1318 - logits_profile_predictions_loss: 160.9075 - logcount_predictions_loss: 0.4197 57/3183 [..............................] - ETA: 1:27 - loss: 163.1094 - logits_profile_predictions_loss: 160.8848 - logcount_predictions_loss: 0.4198 59/3183 [..............................] - ETA: 1:27 - loss: 162.7196 - logits_profile_predictions_loss: 160.4952 - logcount_predictions_loss: 0.4197 61/3183 [..............................] - ETA: 1:27 - loss: 162.5869 - logits_profile_predictions_loss: 160.3619 - logcount_predictions_loss: 0.4198 63/3183 [..............................] - ETA: 1:27 - loss: 162.7394 - logits_profile_predictions_loss: 160.5240 - logcount_predictions_loss: 0.4180 65/3183 [..............................] - ETA: 1:27 - loss: 162.4528 - logits_profile_predictions_loss: 160.2398 - logcount_predictions_loss: 0.4175 67/3183 [..............................] - ETA: 1:27 - loss: 162.4868 - logits_profile_predictions_loss: 160.2726 - logcount_predictions_loss: 0.4178 69/3183 [..............................] - ETA: 1:26 - loss: 162.5075 - logits_profile_predictions_loss: 160.2897 - logcount_predictions_loss: 0.4185 71/3183 [..............................] - ETA: 1:26 - loss: 162.6160 - logits_profile_predictions_loss: 160.3944 - logcount_predictions_loss: 0.4192 73/3183 [..............................] - ETA: 1:26 - loss: 162.6014 - logits_profile_predictions_loss: 160.3934 - logcount_predictions_loss: 0.4166 75/3183 [..............................] - ETA: 1:26 - loss: 162.7269 - logits_profile_predictions_loss: 160.5155 - logcount_predictions_loss: 0.4172 77/3183 [..............................] - ETA: 1:26 - loss: 162.7186 - logits_profile_predictions_loss: 160.5124 - logcount_predictions_loss: 0.4163 79/3183 [..............................] - ETA: 1:26 - loss: 162.7272 - logits_profile_predictions_loss: 160.5061 - logcount_predictions_loss: 0.4191 81/3183 [..............................] - ETA: 1:26 - loss: 162.6982 - logits_profile_predictions_loss: 160.4722 - logcount_predictions_loss: 0.4200 83/3183 [..............................] - ETA: 1:26 - loss: 162.6255 - logits_profile_predictions_loss: 160.3891 - logcount_predictions_loss: 0.4220 85/3183 [..............................] - ETA: 1:26 - loss: 162.4840 - logits_profile_predictions_loss: 160.2512 - logcount_predictions_loss: 0.4213 87/3183 [..............................] - ETA: 1:26 - loss: 162.4939 - logits_profile_predictions_loss: 160.2638 - logcount_predictions_loss: 0.4208 89/3183 [..............................] - ETA: 1:26 - loss: 162.5570 - logits_profile_predictions_loss: 160.3433 - logcount_predictions_loss: 0.4177 91/3183 [..............................] - ETA: 1:25 - loss: 162.5471 - logits_profile_predictions_loss: 160.3342 - logcount_predictions_loss: 0.4175 93/3183 [..............................] - ETA: 1:25 - loss: 162.2255 - logits_profile_predictions_loss: 160.0189 - logcount_predictions_loss: 0.4163 95/3183 [..............................] - ETA: 1:25 - loss: 162.2513 - logits_profile_predictions_loss: 160.0527 - logcount_predictions_loss: 0.4148 97/3183 [..............................] - ETA: 1:25 - loss: 162.1952 - logits_profile_predictions_loss: 159.9806 - logcount_predictions_loss: 0.4179 99/3183 [..............................] - ETA: 1:25 - loss: 162.2455 - logits_profile_predictions_loss: 160.0339 - logcount_predictions_loss: 0.4173 101/3183 [..............................] - ETA: 1:25 - loss: 162.3174 - logits_profile_predictions_loss: 160.1180 - logcount_predictions_loss: 0.4150 103/3183 [..............................] - ETA: 1:25 - loss: 162.2330 - logits_profile_predictions_loss: 160.0366 - logcount_predictions_loss: 0.4144 105/3183 [..............................] - ETA: 1:25 - loss: 162.2629 - logits_profile_predictions_loss: 160.0636 - logcount_predictions_loss: 0.4150 107/3183 [>.............................] - ETA: 1:25 - loss: 161.9498 - logits_profile_predictions_loss: 159.7542 - logcount_predictions_loss: 0.4143 109/3183 [>.............................] - ETA: 1:25 - loss: 162.0255 - logits_profile_predictions_loss: 159.8249 - logcount_predictions_loss: 0.4152 111/3183 [>.............................] - ETA: 1:25 - loss: 161.8767 - logits_profile_predictions_loss: 159.6700 - logcount_predictions_loss: 0.4164 113/3183 [>.............................] - ETA: 1:25 - loss: 161.6782 - logits_profile_predictions_loss: 159.4677 - logcount_predictions_loss: 0.4171 115/3183 [>.............................] - ETA: 1:25 - loss: 161.8980 - logits_profile_predictions_loss: 159.6922 - logcount_predictions_loss: 0.4162 116/3183 [>.............................] - ETA: 1:25 - loss: 161.9444 - logits_profile_predictions_loss: 159.7423 - logcount_predictions_loss: 0.4155 118/3183 [>.............................] - ETA: 1:25 - loss: 162.1057 - logits_profile_predictions_loss: 159.9189 - logcount_predictions_loss: 0.4126 120/3183 [>.............................] - ETA: 1:25 - loss: 162.1879 - logits_profile_predictions_loss: 159.9989 - logcount_predictions_loss: 0.4130 122/3183 [>.............................] - ETA: 1:25 - loss: 162.1049 - logits_profile_predictions_loss: 159.9134 - logcount_predictions_loss: 0.4135 124/3183 [>.............................] - ETA: 1:25 - loss: 161.9973 - logits_profile_predictions_loss: 159.7966 - logcount_predictions_loss: 0.4153 126/3183 [>.............................] - ETA: 1:25 - loss: 162.0120 - logits_profile_predictions_loss: 159.8153 - logcount_predictions_loss: 0.4145 128/3183 [>.............................] - ETA: 1:25 - loss: 161.8356 - logits_profile_predictions_loss: 159.6301 - logcount_predictions_loss: 0.4162 130/3183 [>.............................] - ETA: 1:25 - loss: 161.9222 - logits_profile_predictions_loss: 159.7105 - logcount_predictions_loss: 0.4173 132/3183 [>.............................] - ETA: 1:25 - loss: 161.8197 - logits_profile_predictions_loss: 159.6059 - logcount_predictions_loss: 0.4177 134/3183 [>.............................] - ETA: 1:25 - loss: 161.7324 - logits_profile_predictions_loss: 159.5120 - logcount_predictions_loss: 0.4190 136/3183 [>.............................] - ETA: 1:25 - loss: 161.6249 - logits_profile_predictions_loss: 159.3991 - logcount_predictions_loss: 0.4200 138/3183 [>.............................] - ETA: 1:25 - loss: 161.7474 - logits_profile_predictions_loss: 159.5299 - logcount_predictions_loss: 0.4184 140/3183 [>.............................] - ETA: 1:25 - loss: 161.6445 - logits_profile_predictions_loss: 159.4214 - logcount_predictions_loss: 0.4195 142/3183 [>.............................] - ETA: 1:24 - loss: 161.4849 - logits_profile_predictions_loss: 159.2540 - logcount_predictions_loss: 0.4209 144/3183 [>.............................] - ETA: 1:24 - loss: 161.6659 - logits_profile_predictions_loss: 159.4294 - logcount_predictions_loss: 0.4220 146/3183 [>.............................] - ETA: 1:24 - loss: 161.5950 - logits_profile_predictions_loss: 159.3607 - logcount_predictions_loss: 0.4216 148/3183 [>.............................] - ETA: 1:24 - loss: 161.6379 - logits_profile_predictions_loss: 159.3999 - logcount_predictions_loss: 0.4223 150/3183 [>.............................] - ETA: 1:24 - loss: 161.5416 - logits_profile_predictions_loss: 159.3102 - logcount_predictions_loss: 0.4210 152/3183 [>.............................] - ETA: 1:24 - loss: 161.5314 - logits_profile_predictions_loss: 159.2859 - logcount_predictions_loss: 0.4237 154/3183 [>.............................] - ETA: 1:24 - loss: 161.4034 - logits_profile_predictions_loss: 159.1461 - logcount_predictions_loss: 0.4259 156/3183 [>.............................] - ETA: 1:24 - loss: 161.3263 - logits_profile_predictions_loss: 159.0713 - logcount_predictions_loss: 0.4255 158/3183 [>.............................] - ETA: 1:24 - loss: 161.3218 - logits_profile_predictions_loss: 159.0694 - logcount_predictions_loss: 0.4250 160/3183 [>.............................] - ETA: 1:24 - loss: 161.3711 - logits_profile_predictions_loss: 159.1208 - logcount_predictions_loss: 0.4246 162/3183 [>.............................] - ETA: 1:24 - loss: 161.3132 - logits_profile_predictions_loss: 159.0653 - logcount_predictions_loss: 0.4242 164/3183 [>.............................] - ETA: 1:24 - loss: 161.4175 - logits_profile_predictions_loss: 159.1718 - logcount_predictions_loss: 0.4237 166/3183 [>.............................] - ETA: 1:24 - loss: 161.3807 - logits_profile_predictions_loss: 159.1265 - logcount_predictions_loss: 0.4253 168/3183 [>.............................] - ETA: 1:23 - loss: 161.3641 - logits_profile_predictions_loss: 159.1076 - logcount_predictions_loss: 0.4258 170/3183 [>.............................] - ETA: 1:23 - loss: 161.4100 - logits_profile_predictions_loss: 159.1533 - logcount_predictions_loss: 0.4258 172/3183 [>.............................] - ETA: 1:23 - loss: 161.2143 - logits_profile_predictions_loss: 158.9535 - logcount_predictions_loss: 0.4266 174/3183 [>.............................] - ETA: 1:23 - loss: 161.3237 - logits_profile_predictions_loss: 159.0617 - logcount_predictions_loss: 0.4268 176/3183 [>.............................] - ETA: 1:23 - loss: 161.2226 - logits_profile_predictions_loss: 158.9675 - logcount_predictions_loss: 0.4255 178/3183 [>.............................] - ETA: 1:23 - loss: 161.1707 - logits_profile_predictions_loss: 158.9022 - logcount_predictions_loss: 0.4280 180/3183 [>.............................] - ETA: 1:23 - loss: 161.2007 - logits_profile_predictions_loss: 158.9292 - logcount_predictions_loss: 0.4286 182/3183 [>.............................] - ETA: 1:23 - loss: 161.2413 - logits_profile_predictions_loss: 158.9720 - logcount_predictions_loss: 0.4282 184/3183 [>.............................] - ETA: 1:23 - loss: 161.2757 - logits_profile_predictions_loss: 159.0043 - logcount_predictions_loss: 0.4286 186/3183 [>.............................] - ETA: 1:23 - loss: 161.2316 - logits_profile_predictions_loss: 158.9653 - logcount_predictions_loss: 0.4276 188/3183 [>.............................] - ETA: 1:23 - loss: 161.2560 - logits_profile_predictions_loss: 158.9899 - logcount_predictions_loss: 0.4276 190/3183 [>.............................] - ETA: 1:23 - loss: 161.3228 - logits_profile_predictions_loss: 159.0585 - logcount_predictions_loss: 0.4272 192/3183 [>.............................] - ETA: 1:23 - loss: 161.3826 - logits_profile_predictions_loss: 159.1208 - logcount_predictions_loss: 0.4268 194/3183 [>.............................] - ETA: 1:23 - loss: 161.4886 - logits_profile_predictions_loss: 159.2303 - logcount_predictions_loss: 0.4261 196/3183 [>.............................] - ETA: 1:23 - loss: 161.3909 - logits_profile_predictions_loss: 159.1268 - logcount_predictions_loss: 0.4272 198/3183 [>.............................] - ETA: 1:22 - loss: 161.4707 - logits_profile_predictions_loss: 159.2111 - logcount_predictions_loss: 0.4264 200/3183 [>.............................] - ETA: 1:22 - loss: 161.4476 - logits_profile_predictions_loss: 159.1869 - logcount_predictions_loss: 0.4266 202/3183 [>.............................] - ETA: 1:22 - loss: 161.4396 - logits_profile_predictions_loss: 159.1723 - logcount_predictions_loss: 0.4278 204/3183 [>.............................] - ETA: 1:22 - loss: 161.4465 - logits_profile_predictions_loss: 159.1828 - logcount_predictions_loss: 0.4271 206/3183 [>.............................] - ETA: 1:22 - loss: 161.4543 - 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[====>.........................] - ETA: 1:13 - loss: 162.0589 - logits_profile_predictions_loss: 159.7913 - logcount_predictions_loss: 0.4279 534/3183 [====>.........................] - ETA: 1:13 - loss: 162.0588 - logits_profile_predictions_loss: 159.7906 - logcount_predictions_loss: 0.4280 536/3183 [====>.........................] - ETA: 1:13 - loss: 162.0676 - logits_profile_predictions_loss: 159.7990 - logcount_predictions_loss: 0.4281 538/3183 [====>.........................] - ETA: 1:12 - loss: 162.0694 - logits_profile_predictions_loss: 159.8011 - logcount_predictions_loss: 0.4280 540/3183 [====>.........................] - ETA: 1:12 - loss: 162.0481 - logits_profile_predictions_loss: 159.7808 - logcount_predictions_loss: 0.4278 542/3183 [====>.........................] - ETA: 1:12 - loss: 162.0534 - logits_profile_predictions_loss: 159.7868 - logcount_predictions_loss: 0.4277 544/3183 [====>.........................] - ETA: 1:12 - loss: 162.0064 - 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[====>.........................] - ETA: 1:12 - loss: 162.0840 - logits_profile_predictions_loss: 159.8144 - logcount_predictions_loss: 0.4282 560/3183 [====>.........................] - ETA: 1:12 - loss: 162.0847 - logits_profile_predictions_loss: 159.8169 - logcount_predictions_loss: 0.4279 562/3183 [====>.........................] - ETA: 1:12 - loss: 162.0721 - logits_profile_predictions_loss: 159.8033 - logcount_predictions_loss: 0.4281 564/3183 [====>.........................] - ETA: 1:12 - loss: 162.0678 - logits_profile_predictions_loss: 159.7974 - logcount_predictions_loss: 0.4284 566/3183 [====>.........................] - ETA: 1:12 - loss: 162.0694 - logits_profile_predictions_loss: 159.7994 - logcount_predictions_loss: 0.4283 568/3183 [====>.........................] - ETA: 1:12 - loss: 162.0688 - logits_profile_predictions_loss: 159.7990 - logcount_predictions_loss: 0.4283 570/3183 [====>.........................] - ETA: 1:12 - loss: 162.0746 - 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[====>.........................] - ETA: 1:11 - loss: 162.1205 - logits_profile_predictions_loss: 159.8528 - logcount_predictions_loss: 0.4279 586/3183 [====>.........................] - ETA: 1:11 - loss: 162.1266 - logits_profile_predictions_loss: 159.8593 - logcount_predictions_loss: 0.4278 588/3183 [====>.........................] - ETA: 1:11 - loss: 162.1621 - logits_profile_predictions_loss: 159.8952 - logcount_predictions_loss: 0.4278 590/3183 [====>.........................] - ETA: 1:11 - loss: 162.1826 - logits_profile_predictions_loss: 159.9176 - logcount_predictions_loss: 0.4274 592/3183 [====>.........................] - ETA: 1:11 - loss: 162.2031 - logits_profile_predictions_loss: 159.9397 - logcount_predictions_loss: 0.4271 594/3183 [====>.........................] - ETA: 1:11 - loss: 162.2201 - logits_profile_predictions_loss: 159.9570 - logcount_predictions_loss: 0.4270 596/3183 [====>.........................] - ETA: 1:11 - loss: 162.2292 - 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[====>.........................] - ETA: 1:10 - loss: 162.2915 - logits_profile_predictions_loss: 160.0220 - logcount_predictions_loss: 0.4282 638/3183 [=====>........................] - ETA: 1:10 - loss: 162.2583 - logits_profile_predictions_loss: 159.9891 - logcount_predictions_loss: 0.4282 640/3183 [=====>........................] - ETA: 1:10 - loss: 162.2804 - logits_profile_predictions_loss: 160.0097 - logcount_predictions_loss: 0.4285 642/3183 [=====>........................] - ETA: 1:10 - loss: 162.2650 - logits_profile_predictions_loss: 159.9928 - logcount_predictions_loss: 0.4287 644/3183 [=====>........................] - ETA: 1:10 - loss: 162.2513 - logits_profile_predictions_loss: 159.9762 - logcount_predictions_loss: 0.4293 646/3183 [=====>........................] - ETA: 1:10 - loss: 162.2519 - logits_profile_predictions_loss: 159.9770 - logcount_predictions_loss: 0.4293 648/3183 [=====>........................] - ETA: 1:09 - loss: 162.2846 - 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[=====>........................] - ETA: 1:09 - loss: 162.3265 - logits_profile_predictions_loss: 160.0550 - logcount_predictions_loss: 0.4286 664/3183 [=====>........................] - ETA: 1:09 - loss: 162.3012 - logits_profile_predictions_loss: 160.0268 - logcount_predictions_loss: 0.4292 666/3183 [=====>........................] - ETA: 1:09 - loss: 162.3267 - logits_profile_predictions_loss: 160.0522 - logcount_predictions_loss: 0.4292 668/3183 [=====>........................] - ETA: 1:09 - loss: 162.3220 - logits_profile_predictions_loss: 160.0491 - logcount_predictions_loss: 0.4289 670/3183 [=====>........................] - ETA: 1:09 - loss: 162.3349 - logits_profile_predictions_loss: 160.0628 - logcount_predictions_loss: 0.4287 672/3183 [=====>........................] - ETA: 1:09 - loss: 162.3465 - logits_profile_predictions_loss: 160.0764 - logcount_predictions_loss: 0.4284 674/3183 [=====>........................] - ETA: 1:09 - loss: 162.3013 - 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[=====>........................] - ETA: 1:08 - loss: 162.2310 - logits_profile_predictions_loss: 159.9494 - logcount_predictions_loss: 0.4305 716/3183 [=====>........................] - ETA: 1:08 - loss: 162.2460 - logits_profile_predictions_loss: 159.9662 - logcount_predictions_loss: 0.4302 718/3183 [=====>........................] - ETA: 1:08 - loss: 162.2151 - logits_profile_predictions_loss: 159.9350 - logcount_predictions_loss: 0.4302 720/3183 [=====>........................] - ETA: 1:08 - loss: 162.1973 - logits_profile_predictions_loss: 159.9188 - logcount_predictions_loss: 0.4299 722/3183 [=====>........................] - ETA: 1:07 - loss: 162.1788 - logits_profile_predictions_loss: 159.8995 - logcount_predictions_loss: 0.4301 724/3183 [=====>........................] - ETA: 1:07 - loss: 162.1424 - logits_profile_predictions_loss: 159.8640 - logcount_predictions_loss: 0.4299 726/3183 [=====>........................] - ETA: 1:07 - loss: 162.1297 - 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loss: 162.4427 - logits_profile_predictions_loss: 160.1643 - logcount_predictions_loss: 0.4299 3045/3183 [===========================>..] - ETA: 3s - loss: 162.4499 - logits_profile_predictions_loss: 160.1718 - logcount_predictions_loss: 0.4298 3047/3183 [===========================>..] - ETA: 3s - loss: 162.4415 - logits_profile_predictions_loss: 160.1636 - logcount_predictions_loss: 0.4298 3049/3183 [===========================>..] - ETA: 3s - loss: 162.4439 - logits_profile_predictions_loss: 160.1660 - logcount_predictions_loss: 0.4297 3051/3183 [===========================>..] - ETA: 3s - loss: 162.4467 - logits_profile_predictions_loss: 160.1685 - logcount_predictions_loss: 0.4298 3053/3183 [===========================>..] - ETA: 3s - loss: 162.4478 - logits_profile_predictions_loss: 160.1694 - logcount_predictions_loss: 0.4299 3055/3183 [===========================>..] - ETA: 3s - loss: 162.4516 - logits_profile_predictions_loss: 160.1733 - logcount_predictions_loss: 0.4298 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logits_profile_predictions_loss: 160.1606 - logcount_predictions_loss: 0.4297 3071/3183 [===========================>..] - ETA: 3s - loss: 162.4300 - logits_profile_predictions_loss: 160.1519 - logcount_predictions_loss: 0.4298 3073/3183 [===========================>..] - ETA: 3s - loss: 162.4362 - logits_profile_predictions_loss: 160.1580 - logcount_predictions_loss: 0.4298 3075/3183 [===========================>..] - ETA: 2s - loss: 162.4303 - logits_profile_predictions_loss: 160.1521 - logcount_predictions_loss: 0.4298 3077/3183 [============================>.] - ETA: 2s - loss: 162.4369 - logits_profile_predictions_loss: 160.1589 - logcount_predictions_loss: 0.4298 3079/3183 [============================>.] - ETA: 2s - loss: 162.4414 - logits_profile_predictions_loss: 160.1634 - logcount_predictions_loss: 0.4298 3081/3183 [============================>.] - ETA: 2s - loss: 162.4457 - logits_profile_predictions_loss: 160.1678 - logcount_predictions_loss: 0.4298 3083/3183 [============================>.] - ETA: 2s - loss: 162.4384 - logits_profile_predictions_loss: 160.1600 - logcount_predictions_loss: 0.4299 3085/3183 [============================>.] - ETA: 2s - loss: 162.4329 - logits_profile_predictions_loss: 160.1545 - logcount_predictions_loss: 0.4299 3087/3183 [============================>.] - ETA: 2s - loss: 162.4350 - logits_profile_predictions_loss: 160.1561 - logcount_predictions_loss: 0.4300 3089/3183 [============================>.] - ETA: 2s - loss: 162.4310 - logits_profile_predictions_loss: 160.1521 - logcount_predictions_loss: 0.4300 3091/3183 [============================>.] - ETA: 2s - loss: 162.4288 - logits_profile_predictions_loss: 160.1492 - logcount_predictions_loss: 0.4301 3093/3183 [============================>.] - ETA: 2s - loss: 162.4268 - logits_profile_predictions_loss: 160.1470 - logcount_predictions_loss: 0.4301 3095/3183 [============================>.] - ETA: 2s - loss: 162.4229 - logits_profile_predictions_loss: 160.1428 - logcount_predictions_loss: 0.4302 3097/3183 [============================>.] - ETA: 2s - loss: 162.4248 - logits_profile_predictions_loss: 160.1446 - logcount_predictions_loss: 0.4302 3099/3183 [============================>.] - ETA: 2s - loss: 162.4233 - logits_profile_predictions_loss: 160.1432 - logcount_predictions_loss: 0.4302 3101/3183 [============================>.] - ETA: 2s - loss: 162.4233 - logits_profile_predictions_loss: 160.1433 - logcount_predictions_loss: 0.4302 3103/3183 [============================>.] - ETA: 2s - loss: 162.4303 - logits_profile_predictions_loss: 160.1511 - logcount_predictions_loss: 0.4300 3105/3183 [============================>.] - ETA: 2s - loss: 162.4285 - logits_profile_predictions_loss: 160.1492 - logcount_predictions_loss: 0.4300 3107/3183 [============================>.] - ETA: 2s - loss: 162.4304 - logits_profile_predictions_loss: 160.1510 - logcount_predictions_loss: 0.4300 3109/3183 [============================>.] - ETA: 2s - loss: 162.4311 - logits_profile_predictions_loss: 160.1521 - logcount_predictions_loss: 0.4300 3111/3183 [============================>.] - ETA: 1s - loss: 162.4304 - logits_profile_predictions_loss: 160.1514 - logcount_predictions_loss: 0.4300 3113/3183 [============================>.] - ETA: 1s - loss: 162.4341 - logits_profile_predictions_loss: 160.1552 - logcount_predictions_loss: 0.4299 3115/3183 [============================>.] - ETA: 1s - loss: 162.4290 - logits_profile_predictions_loss: 160.1502 - logcount_predictions_loss: 0.4299 3117/3183 [============================>.] - ETA: 1s - loss: 162.4221 - logits_profile_predictions_loss: 160.1433 - logcount_predictions_loss: 0.4299 3119/3183 [============================>.] - ETA: 1s - loss: 162.4212 - logits_profile_predictions_loss: 160.1420 - logcount_predictions_loss: 0.4300 3121/3183 [============================>.] - ETA: 1s - loss: 162.4276 - logits_profile_predictions_loss: 160.1486 - logcount_predictions_loss: 0.4300 3123/3183 [============================>.] - ETA: 1s - loss: 162.4233 - logits_profile_predictions_loss: 160.1443 - logcount_predictions_loss: 0.4300 3125/3183 [============================>.] - ETA: 1s - loss: 162.4275 - logits_profile_predictions_loss: 160.1484 - logcount_predictions_loss: 0.4300 3127/3183 [============================>.] - ETA: 1s - loss: 162.4295 - logits_profile_predictions_loss: 160.1508 - logcount_predictions_loss: 0.4299 3129/3183 [============================>.] - ETA: 1s - loss: 162.4258 - logits_profile_predictions_loss: 160.1472 - logcount_predictions_loss: 0.4299 3131/3183 [============================>.] - ETA: 1s - loss: 162.4297 - logits_profile_predictions_loss: 160.1506 - logcount_predictions_loss: 0.4300 3133/3183 [============================>.] - ETA: 1s - loss: 162.4309 - logits_profile_predictions_loss: 160.1518 - logcount_predictions_loss: 0.4300 3135/3183 [============================>.] - ETA: 1s - loss: 162.4262 - logits_profile_predictions_loss: 160.1471 - logcount_predictions_loss: 0.4300 3137/3183 [============================>.] - ETA: 1s - loss: 162.4191 - logits_profile_predictions_loss: 160.1402 - logcount_predictions_loss: 0.4300 3139/3183 [============================>.] - ETA: 1s - loss: 162.4150 - logits_profile_predictions_loss: 160.1359 - logcount_predictions_loss: 0.4300 3141/3183 [============================>.] - ETA: 1s - loss: 162.4085 - logits_profile_predictions_loss: 160.1292 - logcount_predictions_loss: 0.4300 3143/3183 [============================>.] - ETA: 1s - loss: 162.4035 - logits_profile_predictions_loss: 160.1240 - logcount_predictions_loss: 0.4301 3145/3183 [============================>.] - ETA: 1s - loss: 162.3987 - logits_profile_predictions_loss: 160.1188 - logcount_predictions_loss: 0.4301 3147/3183 [============================>.] - ETA: 0s - loss: 162.4001 - logits_profile_predictions_loss: 160.1200 - logcount_predictions_loss: 0.4302 3149/3183 [============================>.] - ETA: 0s - loss: 162.4057 - logits_profile_predictions_loss: 160.1257 - logcount_predictions_loss: 0.4302 3151/3183 [============================>.] - ETA: 0s - loss: 162.4127 - logits_profile_predictions_loss: 160.1325 - logcount_predictions_loss: 0.4302 3153/3183 [============================>.] - ETA: 0s - loss: 162.4115 - logits_profile_predictions_loss: 160.1313 - logcount_predictions_loss: 0.4302 3155/3183 [============================>.] - ETA: 0s - loss: 162.4140 - logits_profile_predictions_loss: 160.1337 - logcount_predictions_loss: 0.4302 3157/3183 [============================>.] - ETA: 0s - loss: 162.4142 - logits_profile_predictions_loss: 160.1341 - logcount_predictions_loss: 0.4302 3159/3183 [============================>.] - ETA: 0s - loss: 162.4177 - logits_profile_predictions_loss: 160.1375 - logcount_predictions_loss: 0.4302 3161/3183 [============================>.] - ETA: 0s - loss: 162.4173 - logits_profile_predictions_loss: 160.1373 - logcount_predictions_loss: 0.4302 3163/3183 [============================>.] - ETA: 0s - loss: 162.4165 - logits_profile_predictions_loss: 160.1364 - logcount_predictions_loss: 0.4302 3165/3183 [============================>.] - ETA: 0s - loss: 162.4192 - logits_profile_predictions_loss: 160.1387 - logcount_predictions_loss: 0.4303 3167/3183 [============================>.] - ETA: 0s - loss: 162.4187 - logits_profile_predictions_loss: 160.1387 - logcount_predictions_loss: 0.4302 3169/3183 [============================>.] - ETA: 0s - loss: 162.4191 - logits_profile_predictions_loss: 160.1391 - logcount_predictions_loss: 0.4302 3171/3183 [============================>.] - ETA: 0s - loss: 162.4248 - logits_profile_predictions_loss: 160.1449 - logcount_predictions_loss: 0.4301 3173/3183 [============================>.] - ETA: 0s - loss: 162.4142 - logits_profile_predictions_loss: 160.1341 - logcount_predictions_loss: 0.4302 3175/3183 [============================>.] - ETA: 0s - loss: 162.4081 - logits_profile_predictions_loss: 160.1278 - logcount_predictions_loss: 0.4302 3177/3183 [============================>.] - ETA: 0s - loss: 162.4076 - logits_profile_predictions_loss: 160.1273 - logcount_predictions_loss: 0.4302 3179/3183 [============================>.] - ETA: 0s - loss: 162.4067 - logits_profile_predictions_loss: 160.1267 - logcount_predictions_loss: 0.4302 3181/3183 [============================>.] - ETA: 0s - loss: 162.4124 - logits_profile_predictions_loss: 160.1321 - logcount_predictions_loss: 0.4302 3183/3183 [==============================] - ETA: 0s - loss: 162.4162 - logits_profile_predictions_loss: 160.1363 - logcount_predictions_loss: 0.4301 Epoch 10: val_loss did not improve from 164.66721  3183/3183 [==============================] - 92s 29ms/step - loss: 162.4162 - logits_profile_predictions_loss: 160.1363 - logcount_predictions_loss: 0.4301 - val_loss: 164.7768 - val_logits_profile_predictions_loss: 163.0540 - val_logcount_predictions_loss: 0.3250 Epoch 11/50 1/3183 [..............................] - ETA: 2:25 - loss: 161.5067 - logits_profile_predictions_loss: 159.1859 - logcount_predictions_loss: 0.4379 3/3183 [..............................] - ETA: 1:40 - loss: 160.1879 - logits_profile_predictions_loss: 157.9476 - logcount_predictions_loss: 0.4227 5/3183 [..............................] - ETA: 1:40 - loss: 161.0250 - logits_profile_predictions_loss: 158.9721 - logcount_predictions_loss: 0.3873 7/3183 [..............................] - ETA: 1:40 - loss: 161.8343 - logits_profile_predictions_loss: 159.5221 - logcount_predictions_loss: 0.4363 9/3183 [..............................] - ETA: 1:40 - loss: 161.7047 - logits_profile_predictions_loss: 159.3628 - logcount_predictions_loss: 0.4419 11/3183 [..............................] - ETA: 1:37 - loss: 161.5277 - logits_profile_predictions_loss: 159.2319 - logcount_predictions_loss: 0.4332 13/3183 [..............................] - ETA: 1:35 - loss: 162.3722 - logits_profile_predictions_loss: 160.0045 - logcount_predictions_loss: 0.4467 15/3183 [..............................] - ETA: 1:34 - loss: 162.2453 - logits_profile_predictions_loss: 159.9173 - logcount_predictions_loss: 0.4393 17/3183 [..............................] - ETA: 1:33 - loss: 161.7630 - logits_profile_predictions_loss: 159.4279 - logcount_predictions_loss: 0.4406 19/3183 [..............................] - ETA: 1:32 - loss: 161.9098 - logits_profile_predictions_loss: 159.6585 - logcount_predictions_loss: 0.4248 21/3183 [..............................] - ETA: 1:32 - loss: 161.4718 - logits_profile_predictions_loss: 159.1957 - logcount_predictions_loss: 0.4294 23/3183 [..............................] - ETA: 1:31 - loss: 161.3586 - logits_profile_predictions_loss: 159.0214 - logcount_predictions_loss: 0.4410 25/3183 [..............................] - ETA: 1:31 - loss: 161.4216 - logits_profile_predictions_loss: 158.9257 - logcount_predictions_loss: 0.4709 27/3183 [..............................] - ETA: 1:30 - loss: 161.4474 - logits_profile_predictions_loss: 158.9782 - logcount_predictions_loss: 0.4659 29/3183 [..............................] - ETA: 1:30 - loss: 161.4790 - logits_profile_predictions_loss: 159.0618 - logcount_predictions_loss: 0.4561 31/3183 [..............................] - ETA: 1:30 - loss: 161.4920 - logits_profile_predictions_loss: 159.0815 - logcount_predictions_loss: 0.4548 33/3183 [..............................] - ETA: 1:29 - loss: 160.9044 - logits_profile_predictions_loss: 158.5142 - logcount_predictions_loss: 0.4510 35/3183 [..............................] - ETA: 1:29 - loss: 160.6173 - logits_profile_predictions_loss: 158.2196 - logcount_predictions_loss: 0.4524 37/3183 [..............................] - ETA: 1:29 - loss: 160.9853 - logits_profile_predictions_loss: 158.6151 - logcount_predictions_loss: 0.4472 39/3183 [..............................] - ETA: 1:29 - loss: 161.2021 - logits_profile_predictions_loss: 158.8423 - logcount_predictions_loss: 0.4453 41/3183 [..............................] - ETA: 1:28 - loss: 161.4396 - logits_profile_predictions_loss: 159.0970 - logcount_predictions_loss: 0.4420 43/3183 [..............................] - ETA: 1:28 - loss: 161.2806 - logits_profile_predictions_loss: 158.9156 - logcount_predictions_loss: 0.4462 45/3183 [..............................] - ETA: 1:28 - loss: 161.3091 - logits_profile_predictions_loss: 158.9710 - logcount_predictions_loss: 0.4412 47/3183 [..............................] - ETA: 1:28 - loss: 161.5180 - logits_profile_predictions_loss: 159.2120 - logcount_predictions_loss: 0.4351 49/3183 [..............................] - ETA: 1:28 - loss: 161.8937 - logits_profile_predictions_loss: 159.6046 - logcount_predictions_loss: 0.4319 51/3183 [..............................] - ETA: 1:28 - loss: 161.9548 - logits_profile_predictions_loss: 159.6541 - logcount_predictions_loss: 0.4341 53/3183 [..............................] - ETA: 1:28 - loss: 162.2895 - logits_profile_predictions_loss: 159.9934 - logcount_predictions_loss: 0.4332 55/3183 [..............................] - ETA: 1:27 - loss: 162.3113 - logits_profile_predictions_loss: 160.0233 - logcount_predictions_loss: 0.4317 57/3183 [..............................] - ETA: 1:27 - loss: 162.3257 - logits_profile_predictions_loss: 160.0353 - logcount_predictions_loss: 0.4321 59/3183 [..............................] - ETA: 1:27 - loss: 162.0776 - logits_profile_predictions_loss: 159.7843 - logcount_predictions_loss: 0.4327 61/3183 [..............................] - ETA: 1:27 - loss: 161.7986 - logits_profile_predictions_loss: 159.5095 - logcount_predictions_loss: 0.4319 63/3183 [..............................] - ETA: 1:27 - loss: 161.6226 - logits_profile_predictions_loss: 159.3170 - logcount_predictions_loss: 0.4350 65/3183 [..............................] - ETA: 1:27 - loss: 161.8979 - logits_profile_predictions_loss: 159.6109 - logcount_predictions_loss: 0.4315 67/3183 [..............................] - ETA: 1:27 - loss: 161.7518 - logits_profile_predictions_loss: 159.4489 - logcount_predictions_loss: 0.4345 69/3183 [..............................] - ETA: 1:27 - loss: 161.6788 - logits_profile_predictions_loss: 159.3905 - logcount_predictions_loss: 0.4318 71/3183 [..............................] - ETA: 1:27 - loss: 161.7646 - logits_profile_predictions_loss: 159.4818 - logcount_predictions_loss: 0.4307 73/3183 [..............................] - ETA: 1:26 - loss: 161.5224 - logits_profile_predictions_loss: 159.2373 - logcount_predictions_loss: 0.4311 75/3183 [..............................] - ETA: 1:26 - loss: 161.5524 - logits_profile_predictions_loss: 159.2771 - logcount_predictions_loss: 0.4293 77/3183 [..............................] - ETA: 1:26 - loss: 161.8695 - logits_profile_predictions_loss: 159.6095 - logcount_predictions_loss: 0.4264 79/3183 [..............................] - ETA: 1:26 - loss: 162.1828 - logits_profile_predictions_loss: 159.9277 - logcount_predictions_loss: 0.4255 81/3183 [..............................] - ETA: 1:26 - loss: 161.9751 - logits_profile_predictions_loss: 159.7176 - logcount_predictions_loss: 0.4259 83/3183 [..............................] - ETA: 1:26 - loss: 162.0463 - logits_profile_predictions_loss: 159.7855 - logcount_predictions_loss: 0.4266 85/3183 [..............................] - ETA: 1:26 - loss: 162.2004 - logits_profile_predictions_loss: 159.9420 - logcount_predictions_loss: 0.4261 87/3183 [..............................] - ETA: 1:26 - loss: 162.1183 - logits_profile_predictions_loss: 159.8619 - logcount_predictions_loss: 0.4257 89/3183 [..............................] - ETA: 1:26 - loss: 161.8728 - logits_profile_predictions_loss: 159.6300 - logcount_predictions_loss: 0.4232 91/3183 [..............................] - ETA: 1:26 - loss: 161.9575 - logits_profile_predictions_loss: 159.7263 - logcount_predictions_loss: 0.4210 93/3183 [..............................] - ETA: 1:26 - loss: 161.7554 - logits_profile_predictions_loss: 159.5266 - logcount_predictions_loss: 0.4205 95/3183 [..............................] - ETA: 1:26 - loss: 161.8190 - logits_profile_predictions_loss: 159.5955 - logcount_predictions_loss: 0.4195 97/3183 [..............................] - ETA: 1:25 - loss: 161.7073 - logits_profile_predictions_loss: 159.4945 - logcount_predictions_loss: 0.4175 99/3183 [..............................] - ETA: 1:25 - loss: 161.6429 - logits_profile_predictions_loss: 159.4194 - logcount_predictions_loss: 0.4195 101/3183 [..............................] - ETA: 1:25 - loss: 161.7423 - logits_profile_predictions_loss: 159.5303 - logcount_predictions_loss: 0.4174 103/3183 [..............................] - ETA: 1:25 - loss: 161.6277 - logits_profile_predictions_loss: 159.4154 - logcount_predictions_loss: 0.4174 105/3183 [..............................] - ETA: 1:25 - loss: 161.6823 - logits_profile_predictions_loss: 159.4698 - logcount_predictions_loss: 0.4175 107/3183 [>.............................] - ETA: 1:25 - loss: 161.7417 - logits_profile_predictions_loss: 159.5273 - logcount_predictions_loss: 0.4178 109/3183 [>.............................] - ETA: 1:25 - loss: 161.7125 - logits_profile_predictions_loss: 159.4984 - logcount_predictions_loss: 0.4178 111/3183 [>.............................] - ETA: 1:25 - loss: 161.7812 - logits_profile_predictions_loss: 159.5605 - logcount_predictions_loss: 0.4190 113/3183 [>.............................] - ETA: 1:25 - loss: 161.6863 - logits_profile_predictions_loss: 159.4614 - logcount_predictions_loss: 0.4198 115/3183 [>.............................] - ETA: 1:25 - loss: 161.7300 - logits_profile_predictions_loss: 159.5072 - logcount_predictions_loss: 0.4194 117/3183 [>.............................] - ETA: 1:25 - loss: 161.6382 - logits_profile_predictions_loss: 159.4128 - logcount_predictions_loss: 0.4199 119/3183 [>.............................] - ETA: 1:25 - loss: 161.8718 - logits_profile_predictions_loss: 159.6405 - logcount_predictions_loss: 0.4210 121/3183 [>.............................] - ETA: 1:24 - loss: 162.0796 - logits_profile_predictions_loss: 159.8558 - logcount_predictions_loss: 0.4196 123/3183 [>.............................] - ETA: 1:24 - loss: 161.9326 - logits_profile_predictions_loss: 159.7021 - logcount_predictions_loss: 0.4208 125/3183 [>.............................] - ETA: 1:24 - loss: 162.0637 - logits_profile_predictions_loss: 159.8294 - logcount_predictions_loss: 0.4216 127/3183 [>.............................] - ETA: 1:24 - loss: 162.0908 - logits_profile_predictions_loss: 159.8558 - logcount_predictions_loss: 0.4217 129/3183 [>.............................] - ETA: 1:24 - loss: 162.3451 - logits_profile_predictions_loss: 160.1069 - logcount_predictions_loss: 0.4223 131/3183 [>.............................] - ETA: 1:24 - loss: 162.2731 - logits_profile_predictions_loss: 160.0352 - logcount_predictions_loss: 0.4223 133/3183 [>.............................] - ETA: 1:24 - loss: 162.1836 - logits_profile_predictions_loss: 159.9382 - logcount_predictions_loss: 0.4236 135/3183 [>.............................] - ETA: 1:24 - loss: 162.1511 - logits_profile_predictions_loss: 159.9009 - logcount_predictions_loss: 0.4246 137/3183 [>.............................] - ETA: 1:24 - loss: 162.1921 - logits_profile_predictions_loss: 159.9411 - logcount_predictions_loss: 0.4247 139/3183 [>.............................] - ETA: 1:24 - loss: 162.1973 - logits_profile_predictions_loss: 159.9444 - logcount_predictions_loss: 0.4251 141/3183 [>.............................] - ETA: 1:24 - loss: 162.1580 - logits_profile_predictions_loss: 159.9073 - logcount_predictions_loss: 0.4247 143/3183 [>.............................] - ETA: 1:24 - loss: 162.2554 - logits_profile_predictions_loss: 160.0026 - logcount_predictions_loss: 0.4250 145/3183 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[============================>.] - ETA: 2s - loss: 162.3388 - logits_profile_predictions_loss: 160.0768 - logcount_predictions_loss: 0.4268 3089/3183 [============================>.] - ETA: 2s - loss: 162.3428 - logits_profile_predictions_loss: 160.0808 - logcount_predictions_loss: 0.4268 3091/3183 [============================>.] - ETA: 2s - loss: 162.3439 - logits_profile_predictions_loss: 160.0820 - logcount_predictions_loss: 0.4268 3093/3183 [============================>.] - ETA: 2s - loss: 162.3515 - logits_profile_predictions_loss: 160.0899 - logcount_predictions_loss: 0.4267 3095/3183 [============================>.] - ETA: 2s - loss: 162.3570 - logits_profile_predictions_loss: 160.0958 - logcount_predictions_loss: 0.4267 3097/3183 [============================>.] - ETA: 2s - loss: 162.3574 - logits_profile_predictions_loss: 160.0966 - logcount_predictions_loss: 0.4266 3099/3183 [============================>.] - ETA: 2s - loss: 162.3530 - logits_profile_predictions_loss: 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[============================>.] - ETA: 0s - loss: 162.3587 - logits_profile_predictions_loss: 160.0968 - logcount_predictions_loss: 0.4268 3155/3183 [============================>.] - ETA: 0s - loss: 162.3584 - logits_profile_predictions_loss: 160.0964 - logcount_predictions_loss: 0.4268 3157/3183 [============================>.] - ETA: 0s - loss: 162.3651 - logits_profile_predictions_loss: 160.1029 - logcount_predictions_loss: 0.4269 3159/3183 [============================>.] - ETA: 0s - loss: 162.3668 - logits_profile_predictions_loss: 160.1041 - logcount_predictions_loss: 0.4269 3161/3183 [============================>.] - ETA: 0s - loss: 162.3668 - logits_profile_predictions_loss: 160.1044 - logcount_predictions_loss: 0.4269 3163/3183 [============================>.] - ETA: 0s - loss: 162.3644 - logits_profile_predictions_loss: 160.1022 - logcount_predictions_loss: 0.4268 3165/3183 [============================>.] - ETA: 0s - loss: 162.3647 - logits_profile_predictions_loss: 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loss: 162.3705 - logits_profile_predictions_loss: 160.1084 - logcount_predictions_loss: 0.4268 3181/3183 [============================>.] - ETA: 0s - loss: 162.3709 - logits_profile_predictions_loss: 160.1093 - logcount_predictions_loss: 0.4267 3183/3183 [==============================] - ETA: 0s - loss: 162.3728 - logits_profile_predictions_loss: 160.1115 - logcount_predictions_loss: 0.4267 Epoch 11: val_loss improved from 164.66721 to 164.61786, saving model to results/assembly/mm10/chrombpnet_train_bias/models/bias.h5  3183/3183 [==============================] - 92s 29ms/step - loss: 162.3728 - logits_profile_predictions_loss: 160.1115 - logcount_predictions_loss: 0.4267 - val_loss: 164.6179 - val_logits_profile_predictions_loss: 162.9739 - val_logcount_predictions_loss: 0.3102 Epoch 12/50 1/3183 [..............................] - ETA: 2:27 - loss: 160.5605 - logits_profile_predictions_loss: 157.9698 - logcount_predictions_loss: 0.4888 3/3183 [..............................] - ETA: 1:40 - loss: 167.3419 - logits_profile_predictions_loss: 165.3769 - logcount_predictions_loss: 0.3708 5/3183 [..............................] - ETA: 1:36 - loss: 164.1814 - logits_profile_predictions_loss: 162.0497 - logcount_predictions_loss: 0.4022 7/3183 [..............................] - ETA: 1:33 - loss: 162.0001 - logits_profile_predictions_loss: 159.8985 - logcount_predictions_loss: 0.3965 9/3183 [..............................] - ETA: 1:32 - loss: 163.7989 - logits_profile_predictions_loss: 161.5723 - logcount_predictions_loss: 0.4201 11/3183 [..............................] - ETA: 1:31 - loss: 162.3224 - logits_profile_predictions_loss: 159.9184 - logcount_predictions_loss: 0.4536 13/3183 [..............................] - ETA: 1:30 - loss: 162.7069 - logits_profile_predictions_loss: 160.3088 - logcount_predictions_loss: 0.4525 15/3183 [..............................] - ETA: 1:30 - loss: 163.2352 - logits_profile_predictions_loss: 160.7925 - logcount_predictions_loss: 0.4609 17/3183 [..............................] - ETA: 1:29 - loss: 161.4351 - logits_profile_predictions_loss: 159.0000 - logcount_predictions_loss: 0.4595 19/3183 [..............................] - ETA: 1:29 - loss: 160.7263 - logits_profile_predictions_loss: 158.2969 - logcount_predictions_loss: 0.4584 21/3183 [..............................] - ETA: 1:28 - loss: 161.0865 - logits_profile_predictions_loss: 158.7033 - logcount_predictions_loss: 0.4497 23/3183 [..............................] - ETA: 1:28 - loss: 161.0332 - logits_profile_predictions_loss: 158.6853 - logcount_predictions_loss: 0.4430 25/3183 [..............................] - ETA: 1:28 - loss: 161.0029 - logits_profile_predictions_loss: 158.7194 - logcount_predictions_loss: 0.4309 27/3183 [..............................] - ETA: 1:28 - loss: 161.1960 - logits_profile_predictions_loss: 158.9694 - logcount_predictions_loss: 0.4201 29/3183 [..............................] - ETA: 1:27 - loss: 161.7079 - logits_profile_predictions_loss: 159.5108 - logcount_predictions_loss: 0.4145 31/3183 [..............................] - ETA: 1:27 - loss: 161.8007 - logits_profile_predictions_loss: 159.5983 - logcount_predictions_loss: 0.4155 33/3183 [..............................] - ETA: 1:27 - loss: 162.6725 - logits_profile_predictions_loss: 160.4875 - logcount_predictions_loss: 0.4123 35/3183 [..............................] - ETA: 1:27 - loss: 162.6824 - logits_profile_predictions_loss: 160.5049 - logcount_predictions_loss: 0.4108 37/3183 [..............................] - ETA: 1:27 - loss: 163.0134 - logits_profile_predictions_loss: 160.8620 - logcount_predictions_loss: 0.4059 39/3183 [..............................] - ETA: 1:27 - loss: 162.7974 - logits_profile_predictions_loss: 160.6483 - logcount_predictions_loss: 0.4055 41/3183 [..............................] - ETA: 1:27 - loss: 162.5672 - logits_profile_predictions_loss: 160.3921 - logcount_predictions_loss: 0.4104 43/3183 [..............................] - ETA: 1:26 - loss: 162.6626 - logits_profile_predictions_loss: 160.4699 - logcount_predictions_loss: 0.4137 45/3183 [..............................] - ETA: 1:26 - loss: 162.8693 - logits_profile_predictions_loss: 160.6484 - logcount_predictions_loss: 0.4190 47/3183 [..............................] - ETA: 1:26 - loss: 162.6530 - logits_profile_predictions_loss: 160.4469 - logcount_predictions_loss: 0.4163 49/3183 [..............................] - ETA: 1:26 - loss: 162.9283 - logits_profile_predictions_loss: 160.7097 - logcount_predictions_loss: 0.4186 51/3183 [..............................] - ETA: 1:26 - loss: 163.0166 - logits_profile_predictions_loss: 160.7780 - logcount_predictions_loss: 0.4224 53/3183 [..............................] - ETA: 1:26 - loss: 163.4891 - logits_profile_predictions_loss: 161.2704 - logcount_predictions_loss: 0.4186 55/3183 [..............................] - ETA: 1:26 - loss: 163.3433 - logits_profile_predictions_loss: 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[============================>.] - ETA: 1s - loss: 162.3152 - logits_profile_predictions_loss: 160.0817 - logcount_predictions_loss: 0.4214 3142/3183 [============================>.] - ETA: 1s - loss: 162.3160 - logits_profile_predictions_loss: 160.0825 - logcount_predictions_loss: 0.4214 3144/3183 [============================>.] - ETA: 1s - loss: 162.3220 - logits_profile_predictions_loss: 160.0884 - logcount_predictions_loss: 0.4214 3146/3183 [============================>.] - ETA: 1s - loss: 162.3259 - logits_profile_predictions_loss: 160.0917 - logcount_predictions_loss: 0.4215 3148/3183 [============================>.] - ETA: 0s - loss: 162.3254 - logits_profile_predictions_loss: 160.0911 - logcount_predictions_loss: 0.4216 3150/3183 [============================>.] - ETA: 0s - loss: 162.3286 - logits_profile_predictions_loss: 160.0943 - logcount_predictions_loss: 0.4216 3152/3183 [============================>.] - ETA: 0s - loss: 162.3320 - logits_profile_predictions_loss: 160.0979 - logcount_predictions_loss: 0.4215 3154/3183 [============================>.] - ETA: 0s - loss: 162.3364 - logits_profile_predictions_loss: 160.1023 - logcount_predictions_loss: 0.4215 3156/3183 [============================>.] - ETA: 0s - loss: 162.3358 - logits_profile_predictions_loss: 160.1017 - logcount_predictions_loss: 0.4215 3158/3183 [============================>.] - ETA: 0s - loss: 162.3300 - logits_profile_predictions_loss: 160.0962 - logcount_predictions_loss: 0.4215 3160/3183 [============================>.] - ETA: 0s - loss: 162.3351 - logits_profile_predictions_loss: 160.1015 - logcount_predictions_loss: 0.4214 3162/3183 [============================>.] - ETA: 0s - loss: 162.3292 - logits_profile_predictions_loss: 160.0953 - logcount_predictions_loss: 0.4215 3164/3183 [============================>.] - ETA: 0s - loss: 162.3372 - logits_profile_predictions_loss: 160.1037 - logcount_predictions_loss: 0.4214 3166/3183 [============================>.] - ETA: 0s - loss: 162.3328 - logits_profile_predictions_loss: 160.0993 - logcount_predictions_loss: 0.4214 3168/3183 [============================>.] - ETA: 0s - loss: 162.3318 - logits_profile_predictions_loss: 160.0986 - logcount_predictions_loss: 0.4214 3170/3183 [============================>.] - ETA: 0s - loss: 162.3372 - logits_profile_predictions_loss: 160.1045 - logcount_predictions_loss: 0.4212 3172/3183 [============================>.] - ETA: 0s - loss: 162.3330 - logits_profile_predictions_loss: 160.1006 - logcount_predictions_loss: 0.4212 3174/3183 [============================>.] - ETA: 0s - loss: 162.3339 - logits_profile_predictions_loss: 160.1013 - logcount_predictions_loss: 0.4212 3176/3183 [============================>.] - ETA: 0s - loss: 162.3324 - logits_profile_predictions_loss: 160.0996 - logcount_predictions_loss: 0.4213 3178/3183 [============================>.] - ETA: 0s - loss: 162.3307 - logits_profile_predictions_loss: 160.0978 - logcount_predictions_loss: 0.4213 3180/3183 [============================>.] - ETA: 0s - loss: 162.3304 - logits_profile_predictions_loss: 160.0978 - logcount_predictions_loss: 0.4212 3182/3183 [============================>.] - ETA: 0s - loss: 162.3309 - logits_profile_predictions_loss: 160.0983 - logcount_predictions_loss: 0.4212 Epoch 12: val_loss did not improve from 164.61786  3183/3183 [==============================] - 92s 29ms/step - loss: 162.3295 - logits_profile_predictions_loss: 160.0969 - logcount_predictions_loss: 0.4212 - val_loss: 164.6281 - val_logits_profile_predictions_loss: 162.9553 - val_logcount_predictions_loss: 0.3156 Epoch 13/50 1/3183 [..............................] - ETA: 2:19 - loss: 160.8013 - logits_profile_predictions_loss: 158.2610 - logcount_predictions_loss: 0.4793 3/3183 [..............................] - ETA: 1:40 - loss: 164.8845 - logits_profile_predictions_loss: 162.8751 - logcount_predictions_loss: 0.3791 5/3183 [..............................] - ETA: 1:36 - loss: 167.1240 - logits_profile_predictions_loss: 164.9707 - logcount_predictions_loss: 0.4063 7/3183 [..............................] - ETA: 1:33 - loss: 167.9456 - logits_profile_predictions_loss: 165.6382 - logcount_predictions_loss: 0.4354 9/3183 [..............................] - ETA: 1:31 - loss: 169.1494 - logits_profile_predictions_loss: 166.8217 - logcount_predictions_loss: 0.4392 11/3183 [..............................] - ETA: 1:30 - loss: 167.9953 - logits_profile_predictions_loss: 165.6966 - logcount_predictions_loss: 0.4337 13/3183 [..............................] - ETA: 1:29 - loss: 168.4890 - logits_profile_predictions_loss: 166.1983 - logcount_predictions_loss: 0.4322 15/3183 [..............................] - ETA: 1:29 - loss: 167.3970 - logits_profile_predictions_loss: 165.0699 - logcount_predictions_loss: 0.4391 17/3183 [..............................] - ETA: 1:28 - loss: 165.5532 - logits_profile_predictions_loss: 163.2231 - logcount_predictions_loss: 0.4396 19/3183 [..............................] - ETA: 1:28 - loss: 165.0186 - logits_profile_predictions_loss: 162.6609 - logcount_predictions_loss: 0.4449 21/3183 [..............................] - ETA: 1:28 - loss: 163.6908 - logits_profile_predictions_loss: 161.2888 - logcount_predictions_loss: 0.4532 23/3183 [..............................] - ETA: 1:28 - loss: 164.1541 - logits_profile_predictions_loss: 161.7514 - logcount_predictions_loss: 0.4533 25/3183 [..............................] - ETA: 1:27 - loss: 163.2212 - logits_profile_predictions_loss: 160.7716 - logcount_predictions_loss: 0.4622 27/3183 [..............................] - ETA: 1:27 - loss: 162.8757 - logits_profile_predictions_loss: 160.4667 - logcount_predictions_loss: 0.4545 29/3183 [..............................] - ETA: 1:27 - loss: 162.6247 - logits_profile_predictions_loss: 160.2291 - logcount_predictions_loss: 0.4520 31/3183 [..............................] - ETA: 1:27 - loss: 163.0141 - logits_profile_predictions_loss: 160.5961 - logcount_predictions_loss: 0.4562 33/3183 [..............................] - ETA: 1:27 - loss: 162.6222 - logits_profile_predictions_loss: 160.2402 - logcount_predictions_loss: 0.4494 35/3183 [..............................] - ETA: 1:27 - loss: 163.0370 - logits_profile_predictions_loss: 160.6385 - logcount_predictions_loss: 0.4526 37/3183 [..............................] - ETA: 1:27 - loss: 163.0147 - logits_profile_predictions_loss: 160.6670 - logcount_predictions_loss: 0.4430 39/3183 [..............................] - ETA: 1:27 - loss: 162.9518 - logits_profile_predictions_loss: 160.6361 - logcount_predictions_loss: 0.4369 41/3183 [..............................] - ETA: 1:26 - loss: 163.1436 - logits_profile_predictions_loss: 160.8290 - logcount_predictions_loss: 0.4367 43/3183 [..............................] - ETA: 1:26 - loss: 163.2239 - logits_profile_predictions_loss: 160.9268 - logcount_predictions_loss: 0.4334 45/3183 [..............................] - ETA: 1:26 - loss: 163.0180 - logits_profile_predictions_loss: 160.7240 - logcount_predictions_loss: 0.4328 47/3183 [..............................] - ETA: 1:26 - loss: 162.8648 - logits_profile_predictions_loss: 160.5866 - logcount_predictions_loss: 0.4298 49/3183 [..............................] - ETA: 1:26 - loss: 163.1975 - logits_profile_predictions_loss: 160.9247 - logcount_predictions_loss: 0.4288 51/3183 [..............................] - ETA: 1:26 - loss: 163.1473 - logits_profile_predictions_loss: 160.8745 - logcount_predictions_loss: 0.4288 53/3183 [..............................] - ETA: 1:26 - loss: 162.9469 - logits_profile_predictions_loss: 160.6715 - logcount_predictions_loss: 0.4293 55/3183 [..............................] - ETA: 1:26 - loss: 162.7194 - logits_profile_predictions_loss: 160.4356 - logcount_predictions_loss: 0.4309 57/3183 [..............................] - ETA: 1:26 - loss: 162.6589 - logits_profile_predictions_loss: 160.3656 - logcount_predictions_loss: 0.4327 59/3183 [..............................] - ETA: 1:26 - loss: 162.9162 - logits_profile_predictions_loss: 160.6044 - logcount_predictions_loss: 0.4362 61/3183 [..............................] - ETA: 1:26 - loss: 162.8294 - logits_profile_predictions_loss: 160.5181 - logcount_predictions_loss: 0.4361 63/3183 [..............................] - ETA: 1:26 - loss: 162.8867 - logits_profile_predictions_loss: 160.5684 - logcount_predictions_loss: 0.4374 65/3183 [..............................] - ETA: 1:26 - loss: 162.8866 - logits_profile_predictions_loss: 160.5744 - logcount_predictions_loss: 0.4363 67/3183 [..............................] - ETA: 1:25 - loss: 163.1668 - logits_profile_predictions_loss: 160.8678 - logcount_predictions_loss: 0.4338 69/3183 [..............................] - ETA: 1:25 - loss: 162.8328 - logits_profile_predictions_loss: 160.5182 - logcount_predictions_loss: 0.4367 71/3183 [..............................] - ETA: 1:25 - loss: 162.5053 - logits_profile_predictions_loss: 160.1826 - logcount_predictions_loss: 0.4382 73/3183 [..............................] - ETA: 1:25 - loss: 162.7468 - logits_profile_predictions_loss: 160.4186 - logcount_predictions_loss: 0.4393 75/3183 [..............................] - ETA: 1:25 - loss: 162.7634 - logits_profile_predictions_loss: 160.4548 - logcount_predictions_loss: 0.4356 77/3183 [..............................] - ETA: 1:25 - loss: 162.6670 - logits_profile_predictions_loss: 160.3586 - logcount_predictions_loss: 0.4355 79/3183 [..............................] - ETA: 1:25 - loss: 162.7923 - logits_profile_predictions_loss: 160.4946 - logcount_predictions_loss: 0.4335 81/3183 [..............................] - ETA: 1:25 - loss: 162.7831 - logits_profile_predictions_loss: 160.4883 - logcount_predictions_loss: 0.4330 83/3183 [..............................] - ETA: 1:25 - loss: 162.7579 - logits_profile_predictions_loss: 160.4740 - logcount_predictions_loss: 0.4309 85/3183 [..............................] - ETA: 1:25 - loss: 162.8987 - logits_profile_predictions_loss: 160.6149 - logcount_predictions_loss: 0.4309 87/3183 [..............................] - ETA: 1:25 - loss: 162.9160 - logits_profile_predictions_loss: 160.6374 - logcount_predictions_loss: 0.4299 89/3183 [..............................] - ETA: 1:25 - loss: 163.2103 - logits_profile_predictions_loss: 160.9450 - logcount_predictions_loss: 0.4274 91/3183 [..............................] - ETA: 1:25 - loss: 163.2696 - logits_profile_predictions_loss: 160.9900 - logcount_predictions_loss: 0.4301 93/3183 [..............................] - ETA: 1:25 - loss: 163.2547 - logits_profile_predictions_loss: 160.9741 - logcount_predictions_loss: 0.4303 95/3183 [..............................] - ETA: 1:25 - loss: 163.2844 - logits_profile_predictions_loss: 161.0061 - logcount_predictions_loss: 0.4299 97/3183 [..............................] - ETA: 1:25 - loss: 163.2444 - logits_profile_predictions_loss: 160.9759 - logcount_predictions_loss: 0.4280 99/3183 [..............................] - ETA: 1:25 - loss: 163.5663 - logits_profile_predictions_loss: 161.3055 - logcount_predictions_loss: 0.4266 101/3183 [..............................] - ETA: 1:25 - loss: 163.6024 - logits_profile_predictions_loss: 161.3595 - logcount_predictions_loss: 0.4232 103/3183 [..............................] - ETA: 1:25 - loss: 163.4023 - logits_profile_predictions_loss: 161.1460 - logcount_predictions_loss: 0.4257 105/3183 [..............................] - ETA: 1:25 - loss: 163.4633 - logits_profile_predictions_loss: 161.2047 - logcount_predictions_loss: 0.4261 107/3183 [>.............................] - ETA: 1:25 - loss: 163.4568 - logits_profile_predictions_loss: 161.1960 - logcount_predictions_loss: 0.4266 109/3183 [>.............................] - ETA: 1:24 - loss: 163.3397 - logits_profile_predictions_loss: 161.0838 - logcount_predictions_loss: 0.4256 111/3183 [>.............................] - ETA: 1:24 - loss: 163.4906 - logits_profile_predictions_loss: 161.2478 - logcount_predictions_loss: 0.4232 113/3183 [>.............................] - ETA: 1:24 - loss: 163.4635 - logits_profile_predictions_loss: 161.2091 - logcount_predictions_loss: 0.4254 115/3183 [>.............................] - ETA: 1:24 - loss: 163.4277 - logits_profile_predictions_loss: 161.1737 - logcount_predictions_loss: 0.4253 117/3183 [>.............................] - ETA: 1:24 - loss: 163.3912 - logits_profile_predictions_loss: 161.1418 - logcount_predictions_loss: 0.4244 119/3183 [>.............................] - ETA: 1:24 - loss: 163.5579 - logits_profile_predictions_loss: 161.3058 - logcount_predictions_loss: 0.4249 121/3183 [>.............................] - ETA: 1:24 - loss: 163.3888 - logits_profile_predictions_loss: 161.1374 - logcount_predictions_loss: 0.4248 123/3183 [>.............................] - ETA: 1:24 - loss: 163.3419 - logits_profile_predictions_loss: 161.0930 - logcount_predictions_loss: 0.4243 125/3183 [>.............................] - ETA: 1:24 - loss: 163.3210 - logits_profile_predictions_loss: 161.0546 - logcount_predictions_loss: 0.4276 127/3183 [>.............................] - ETA: 1:24 - loss: 163.4729 - logits_profile_predictions_loss: 161.2051 - logcount_predictions_loss: 0.4279 129/3183 [>.............................] - ETA: 1:24 - loss: 163.4556 - logits_profile_predictions_loss: 161.1922 - logcount_predictions_loss: 0.4271 131/3183 [>.............................] - ETA: 1:24 - loss: 163.5459 - logits_profile_predictions_loss: 161.2766 - logcount_predictions_loss: 0.4282 133/3183 [>.............................] - ETA: 1:24 - loss: 163.6293 - logits_profile_predictions_loss: 161.3730 - logcount_predictions_loss: 0.4257 135/3183 [>.............................] - ETA: 1:24 - loss: 163.7656 - logits_profile_predictions_loss: 161.5081 - logcount_predictions_loss: 0.4259 137/3183 [>.............................] - ETA: 1:24 - loss: 163.6768 - logits_profile_predictions_loss: 161.4193 - logcount_predictions_loss: 0.4259 139/3183 [>.............................] - ETA: 1:24 - loss: 163.6763 - logits_profile_predictions_loss: 161.4165 - logcount_predictions_loss: 0.4264 141/3183 [>.............................] - ETA: 1:24 - loss: 163.4813 - logits_profile_predictions_loss: 161.2257 - logcount_predictions_loss: 0.4256 143/3183 [>.............................] - ETA: 1:23 - loss: 163.4758 - logits_profile_predictions_loss: 161.2193 - logcount_predictions_loss: 0.4258 145/3183 [>.............................] - ETA: 1:23 - loss: 163.4986 - logits_profile_predictions_loss: 161.2338 - logcount_predictions_loss: 0.4273 147/3183 [>.............................] - ETA: 1:23 - loss: 163.4816 - logits_profile_predictions_loss: 161.2210 - logcount_predictions_loss: 0.4265 149/3183 [>.............................] - ETA: 1:23 - loss: 163.4272 - logits_profile_predictions_loss: 161.1734 - logcount_predictions_loss: 0.4252 151/3183 [>.............................] - ETA: 1:23 - loss: 163.4256 - logits_profile_predictions_loss: 161.1744 - logcount_predictions_loss: 0.4247 153/3183 [>.............................] - ETA: 1:23 - loss: 163.3703 - logits_profile_predictions_loss: 161.1256 - logcount_predictions_loss: 0.4235 156/3183 [>.............................] - ETA: 1:23 - loss: 163.3764 - logits_profile_predictions_loss: 161.1379 - logcount_predictions_loss: 0.4224 158/3183 [>.............................] - ETA: 1:23 - loss: 163.5456 - logits_profile_predictions_loss: 161.3143 - logcount_predictions_loss: 0.4210 160/3183 [>.............................] - ETA: 1:23 - loss: 163.4962 - logits_profile_predictions_loss: 161.2572 - logcount_predictions_loss: 0.4224 162/3183 [>.............................] - ETA: 1:23 - loss: 163.6461 - logits_profile_predictions_loss: 161.4122 - logcount_predictions_loss: 0.4215 164/3183 [>.............................] - ETA: 1:23 - loss: 163.6720 - logits_profile_predictions_loss: 161.4399 - logcount_predictions_loss: 0.4212 166/3183 [>.............................] - ETA: 1:23 - loss: 163.6486 - logits_profile_predictions_loss: 161.4252 - logcount_predictions_loss: 0.4195 168/3183 [>.............................] - ETA: 1:23 - loss: 163.6709 - logits_profile_predictions_loss: 161.4407 - logcount_predictions_loss: 0.4208 170/3183 [>.............................] - ETA: 1:22 - loss: 163.5731 - logits_profile_predictions_loss: 161.3439 - logcount_predictions_loss: 0.4206 172/3183 [>.............................] - ETA: 1:22 - loss: 163.5983 - logits_profile_predictions_loss: 161.3724 - logcount_predictions_loss: 0.4200 174/3183 [>.............................] - ETA: 1:22 - loss: 163.6098 - logits_profile_predictions_loss: 161.3873 - logcount_predictions_loss: 0.4193 176/3183 [>.............................] - ETA: 1:22 - loss: 163.6529 - logits_profile_predictions_loss: 161.4279 - logcount_predictions_loss: 0.4198 178/3183 [>.............................] - ETA: 1:22 - loss: 163.6348 - logits_profile_predictions_loss: 161.4130 - logcount_predictions_loss: 0.4192 180/3183 [>.............................] - ETA: 1:22 - loss: 163.5614 - logits_profile_predictions_loss: 161.3445 - logcount_predictions_loss: 0.4183 182/3183 [>.............................] - ETA: 1:22 - loss: 163.5203 - logits_profile_predictions_loss: 161.3092 - logcount_predictions_loss: 0.4172 184/3183 [>.............................] - ETA: 1:22 - loss: 163.4475 - logits_profile_predictions_loss: 161.2345 - logcount_predictions_loss: 0.4175 186/3183 [>.............................] - ETA: 1:22 - loss: 163.4698 - logits_profile_predictions_loss: 161.2610 - logcount_predictions_loss: 0.4168 188/3183 [>.............................] - ETA: 1:22 - loss: 163.5016 - logits_profile_predictions_loss: 161.3002 - logcount_predictions_loss: 0.4154 190/3183 [>.............................] - ETA: 1:22 - loss: 163.5896 - logits_profile_predictions_loss: 161.3891 - logcount_predictions_loss: 0.4152 192/3183 [>.............................] - ETA: 1:22 - loss: 163.5170 - logits_profile_predictions_loss: 161.3154 - logcount_predictions_loss: 0.4154 194/3183 [>.............................] - ETA: 1:22 - loss: 163.4640 - logits_profile_predictions_loss: 161.2698 - logcount_predictions_loss: 0.4140 196/3183 [>.............................] - ETA: 1:22 - loss: 163.4184 - logits_profile_predictions_loss: 161.2284 - logcount_predictions_loss: 0.4132 198/3183 [>.............................] - ETA: 1:22 - loss: 163.4713 - logits_profile_predictions_loss: 161.2785 - logcount_predictions_loss: 0.4137 200/3183 [>.............................] - ETA: 1:22 - loss: 163.4895 - logits_profile_predictions_loss: 161.3010 - logcount_predictions_loss: 0.4129 202/3183 [>.............................] - ETA: 1:22 - loss: 163.4112 - logits_profile_predictions_loss: 161.2232 - logcount_predictions_loss: 0.4128 204/3183 [>.............................] - ETA: 1:22 - loss: 163.4486 - logits_profile_predictions_loss: 161.2609 - logcount_predictions_loss: 0.4128 206/3183 [>.............................] - ETA: 1:21 - loss: 163.3882 - logits_profile_predictions_loss: 161.1970 - logcount_predictions_loss: 0.4135 208/3183 [>.............................] - ETA: 1:21 - loss: 163.3682 - logits_profile_predictions_loss: 161.1736 - logcount_predictions_loss: 0.4141 210/3183 [>.............................] - ETA: 1:21 - loss: 163.2934 - logits_profile_predictions_loss: 161.0957 - logcount_predictions_loss: 0.4147 212/3183 [>.............................] - ETA: 1:21 - loss: 163.2933 - logits_profile_predictions_loss: 161.0956 - logcount_predictions_loss: 0.4147 214/3183 [=>............................] - ETA: 1:21 - loss: 163.2315 - logits_profile_predictions_loss: 161.0289 - logcount_predictions_loss: 0.4156 216/3183 [=>............................] - ETA: 1:21 - loss: 163.1734 - logits_profile_predictions_loss: 160.9709 - logcount_predictions_loss: 0.4156 218/3183 [=>............................] - ETA: 1:21 - loss: 163.1759 - logits_profile_predictions_loss: 160.9699 - logcount_predictions_loss: 0.4162 220/3183 [=>............................] - ETA: 1:21 - loss: 163.2874 - logits_profile_predictions_loss: 161.0852 - logcount_predictions_loss: 0.4155 222/3183 [=>............................] - ETA: 1:21 - loss: 163.3474 - logits_profile_predictions_loss: 161.1450 - logcount_predictions_loss: 0.4156 224/3183 [=>............................] - ETA: 1:21 - loss: 163.3010 - logits_profile_predictions_loss: 161.0976 - logcount_predictions_loss: 0.4157 226/3183 [=>............................] - ETA: 1:21 - loss: 163.3163 - logits_profile_predictions_loss: 161.1057 - logcount_predictions_loss: 0.4171 228/3183 [=>............................] - ETA: 1:21 - loss: 163.3107 - logits_profile_predictions_loss: 161.0958 - logcount_predictions_loss: 0.4179 230/3183 [=>............................] - ETA: 1:21 - loss: 163.2985 - logits_profile_predictions_loss: 161.0816 - logcount_predictions_loss: 0.4183 232/3183 [=>............................] - ETA: 1:21 - loss: 163.3082 - logits_profile_predictions_loss: 161.0881 - logcount_predictions_loss: 0.4189 234/3183 [=>............................] - ETA: 1:21 - loss: 163.2266 - logits_profile_predictions_loss: 161.0066 - logcount_predictions_loss: 0.4189 236/3183 [=>............................] - ETA: 1:21 - loss: 163.2950 - logits_profile_predictions_loss: 161.0760 - logcount_predictions_loss: 0.4187 238/3183 [=>............................] - ETA: 1:21 - loss: 163.2809 - logits_profile_predictions_loss: 161.0628 - logcount_predictions_loss: 0.4185 240/3183 [=>............................] - ETA: 1:21 - loss: 163.3226 - logits_profile_predictions_loss: 161.1068 - logcount_predictions_loss: 0.4181 242/3183 [=>............................] - ETA: 1:20 - loss: 163.4571 - logits_profile_predictions_loss: 161.2478 - logcount_predictions_loss: 0.4169 244/3183 [=>............................] - ETA: 1:20 - loss: 163.4024 - logits_profile_predictions_loss: 161.1929 - logcount_predictions_loss: 0.4169 246/3183 [=>............................] - ETA: 1:20 - loss: 163.3594 - logits_profile_predictions_loss: 161.1489 - logcount_predictions_loss: 0.4171 248/3183 [=>............................] - ETA: 1:20 - loss: 163.3882 - logits_profile_predictions_loss: 161.1775 - logcount_predictions_loss: 0.4171 250/3183 [=>............................] - ETA: 1:20 - loss: 163.3633 - logits_profile_predictions_loss: 161.1531 - logcount_predictions_loss: 0.4170 252/3183 [=>............................] - ETA: 1:20 - loss: 163.4338 - logits_profile_predictions_loss: 161.2238 - logcount_predictions_loss: 0.4170 254/3183 [=>............................] - ETA: 1:20 - loss: 163.3820 - logits_profile_predictions_loss: 161.1717 - logcount_predictions_loss: 0.4171 256/3183 [=>............................] - ETA: 1:20 - loss: 163.3374 - logits_profile_predictions_loss: 161.1300 - logcount_predictions_loss: 0.4165 258/3183 [=>............................] - ETA: 1:20 - loss: 163.3538 - logits_profile_predictions_loss: 161.1487 - logcount_predictions_loss: 0.4161 260/3183 [=>............................] - ETA: 1:20 - loss: 163.3899 - logits_profile_predictions_loss: 161.1805 - logcount_predictions_loss: 0.4169 262/3183 [=>............................] - ETA: 1:20 - loss: 163.3359 - logits_profile_predictions_loss: 161.1238 - logcount_predictions_loss: 0.4174 264/3183 [=>............................] - ETA: 1:20 - loss: 163.2868 - logits_profile_predictions_loss: 161.0749 - logcount_predictions_loss: 0.4174 266/3183 [=>............................] - ETA: 1:20 - loss: 163.2668 - logits_profile_predictions_loss: 161.0515 - logcount_predictions_loss: 0.4180 268/3183 [=>............................] - ETA: 1:20 - loss: 163.2164 - logits_profile_predictions_loss: 161.0005 - logcount_predictions_loss: 0.4181 270/3183 [=>............................] - ETA: 1:20 - loss: 163.1915 - logits_profile_predictions_loss: 160.9764 - logcount_predictions_loss: 0.4180 272/3183 [=>............................] - ETA: 1:20 - loss: 163.1979 - logits_profile_predictions_loss: 160.9816 - logcount_predictions_loss: 0.4182 274/3183 [=>............................] - ETA: 1:20 - loss: 163.2064 - logits_profile_predictions_loss: 160.9906 - logcount_predictions_loss: 0.4181 276/3183 [=>............................] - ETA: 1:20 - loss: 163.2576 - logits_profile_predictions_loss: 161.0455 - logcount_predictions_loss: 0.4174 278/3183 [=>............................] - ETA: 1:19 - loss: 163.2906 - logits_profile_predictions_loss: 161.0776 - logcount_predictions_loss: 0.4176 280/3183 [=>............................] - ETA: 1:19 - loss: 163.2409 - logits_profile_predictions_loss: 161.0277 - logcount_predictions_loss: 0.4176 282/3183 [=>............................] - ETA: 1:19 - loss: 163.3412 - logits_profile_predictions_loss: 161.1320 - logcount_predictions_loss: 0.4168 284/3183 [=>............................] - ETA: 1:19 - loss: 163.2995 - logits_profile_predictions_loss: 161.0919 - logcount_predictions_loss: 0.4166 286/3183 [=>............................] - ETA: 1:19 - loss: 163.3464 - logits_profile_predictions_loss: 161.1419 - logcount_predictions_loss: 0.4160 288/3183 [=>............................] - ETA: 1:19 - loss: 163.2957 - logits_profile_predictions_loss: 161.0898 - logcount_predictions_loss: 0.4162 290/3183 [=>............................] - ETA: 1:19 - loss: 163.2993 - logits_profile_predictions_loss: 161.0941 - logcount_predictions_loss: 0.4161 292/3183 [=>............................] - ETA: 1:19 - loss: 163.2580 - logits_profile_predictions_loss: 161.0569 - logcount_predictions_loss: 0.4153 294/3183 [=>............................] - ETA: 1:19 - loss: 163.1672 - 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loss: 162.2980 - logits_profile_predictions_loss: 160.0710 - logcount_predictions_loss: 0.4202 3120/3183 [============================>.] - ETA: 1s - loss: 162.2987 - logits_profile_predictions_loss: 160.0717 - logcount_predictions_loss: 0.4202 3122/3183 [============================>.] - ETA: 1s - loss: 162.3003 - logits_profile_predictions_loss: 160.0734 - logcount_predictions_loss: 0.4202 3124/3183 [============================>.] - ETA: 1s - loss: 162.2967 - logits_profile_predictions_loss: 160.0698 - logcount_predictions_loss: 0.4202 3126/3183 [============================>.] - ETA: 1s - loss: 162.2938 - logits_profile_predictions_loss: 160.0673 - logcount_predictions_loss: 0.4201 3128/3183 [============================>.] - ETA: 1s - loss: 162.2910 - logits_profile_predictions_loss: 160.0646 - logcount_predictions_loss: 0.4201 3130/3183 [============================>.] - ETA: 1s - loss: 162.2892 - logits_profile_predictions_loss: 160.0627 - logcount_predictions_loss: 0.4201 3132/3183 [============================>.] - ETA: 1s - loss: 162.2869 - logits_profile_predictions_loss: 160.0607 - logcount_predictions_loss: 0.4200 3134/3183 [============================>.] - ETA: 1s - loss: 162.2965 - logits_profile_predictions_loss: 160.0707 - logcount_predictions_loss: 0.4200 3136/3183 [============================>.] - ETA: 1s - loss: 162.2999 - logits_profile_predictions_loss: 160.0741 - logcount_predictions_loss: 0.4200 3138/3183 [============================>.] - ETA: 1s - loss: 162.3011 - logits_profile_predictions_loss: 160.0755 - logcount_predictions_loss: 0.4199 3140/3183 [============================>.] - ETA: 1s - loss: 162.3013 - logits_profile_predictions_loss: 160.0761 - logcount_predictions_loss: 0.4198 3142/3183 [============================>.] - ETA: 1s - loss: 162.2978 - logits_profile_predictions_loss: 160.0722 - logcount_predictions_loss: 0.4199 3144/3183 [============================>.] - ETA: 1s - loss: 162.2923 - logits_profile_predictions_loss: 160.0664 - logcount_predictions_loss: 0.4200 3146/3183 [============================>.] - ETA: 1s - loss: 162.2995 - logits_profile_predictions_loss: 160.0740 - logcount_predictions_loss: 0.4199 3148/3183 [============================>.] - ETA: 0s - loss: 162.3018 - logits_profile_predictions_loss: 160.0761 - logcount_predictions_loss: 0.4199 3150/3183 [============================>.] - ETA: 0s - loss: 162.3074 - logits_profile_predictions_loss: 160.0820 - logcount_predictions_loss: 0.4199 3152/3183 [============================>.] - ETA: 0s - loss: 162.3000 - logits_profile_predictions_loss: 160.0741 - logcount_predictions_loss: 0.4200 3154/3183 [============================>.] - ETA: 0s - loss: 162.2966 - logits_profile_predictions_loss: 160.0708 - logcount_predictions_loss: 0.4200 3156/3183 [============================>.] - ETA: 0s - loss: 162.2919 - logits_profile_predictions_loss: 160.0658 - logcount_predictions_loss: 0.4200 3158/3183 [============================>.] - ETA: 0s - loss: 162.2914 - logits_profile_predictions_loss: 160.0653 - logcount_predictions_loss: 0.4200 3160/3183 [============================>.] - ETA: 0s - loss: 162.2966 - logits_profile_predictions_loss: 160.0710 - logcount_predictions_loss: 0.4199 3162/3183 [============================>.] - ETA: 0s - loss: 162.2952 - logits_profile_predictions_loss: 160.0695 - logcount_predictions_loss: 0.4200 3164/3183 [============================>.] - ETA: 0s - loss: 162.2933 - logits_profile_predictions_loss: 160.0679 - logcount_predictions_loss: 0.4199 3166/3183 [============================>.] - ETA: 0s - loss: 162.2891 - logits_profile_predictions_loss: 160.0638 - logcount_predictions_loss: 0.4199 3168/3183 [============================>.] - ETA: 0s - loss: 162.2898 - logits_profile_predictions_loss: 160.0649 - logcount_predictions_loss: 0.4198 3170/3183 [============================>.] - ETA: 0s - loss: 162.2897 - logits_profile_predictions_loss: 160.0648 - logcount_predictions_loss: 0.4198 3172/3183 [============================>.] - ETA: 0s - loss: 162.2886 - logits_profile_predictions_loss: 160.0637 - logcount_predictions_loss: 0.4198 3174/3183 [============================>.] - ETA: 0s - loss: 162.2934 - logits_profile_predictions_loss: 160.0689 - logcount_predictions_loss: 0.4197 3176/3183 [============================>.] - ETA: 0s - loss: 162.2913 - logits_profile_predictions_loss: 160.0669 - logcount_predictions_loss: 0.4197 3178/3183 [============================>.] - ETA: 0s - loss: 162.2921 - logits_profile_predictions_loss: 160.0678 - logcount_predictions_loss: 0.4197 3180/3183 [============================>.] - ETA: 0s - loss: 162.2969 - logits_profile_predictions_loss: 160.0724 - logcount_predictions_loss: 0.4197 3182/3183 [============================>.] - ETA: 0s - loss: 162.2955 - logits_profile_predictions_loss: 160.0710 - logcount_predictions_loss: 0.4197 Epoch 13: val_loss did not improve from 164.61786  3183/3183 [==============================] - 92s 29ms/step - loss: 162.2946 - logits_profile_predictions_loss: 160.0699 - logcount_predictions_loss: 0.4198 - val_loss: 165.0849 - val_logits_profile_predictions_loss: 162.9562 - val_logcount_predictions_loss: 0.4016 Epoch 14/50 1/3183 [..............................] - ETA: 2:33 - loss: 162.5208 - logits_profile_predictions_loss: 160.0992 - logcount_predictions_loss: 0.4569 3/3183 [..............................] - ETA: 1:40 - loss: 169.1797 - logits_profile_predictions_loss: 166.8795 - logcount_predictions_loss: 0.4340 5/3183 [..............................] - ETA: 1:42 - loss: 162.9118 - logits_profile_predictions_loss: 160.4625 - logcount_predictions_loss: 0.4621 7/3183 [..............................] - ETA: 1:37 - loss: 162.6951 - logits_profile_predictions_loss: 160.2240 - logcount_predictions_loss: 0.4663 9/3183 [..............................] - ETA: 1:34 - loss: 164.5354 - logits_profile_predictions_loss: 162.0983 - logcount_predictions_loss: 0.4598 11/3183 [..............................] - ETA: 1:32 - loss: 164.0987 - logits_profile_predictions_loss: 161.7290 - logcount_predictions_loss: 0.4471 13/3183 [..............................] - ETA: 1:31 - loss: 161.8629 - logits_profile_predictions_loss: 159.5545 - logcount_predictions_loss: 0.4356 15/3183 [..............................] - ETA: 1:30 - loss: 161.2095 - logits_profile_predictions_loss: 158.9108 - logcount_predictions_loss: 0.4337 17/3183 [..............................] - ETA: 1:30 - loss: 159.4893 - logits_profile_predictions_loss: 157.1427 - logcount_predictions_loss: 0.4428 19/3183 [..............................] - ETA: 1:29 - loss: 159.8081 - logits_profile_predictions_loss: 157.4638 - logcount_predictions_loss: 0.4423 21/3183 [..............................] - ETA: 1:29 - loss: 159.7648 - logits_profile_predictions_loss: 157.4299 - logcount_predictions_loss: 0.4405 23/3183 [..............................] - ETA: 1:29 - loss: 159.7256 - logits_profile_predictions_loss: 157.3455 - logcount_predictions_loss: 0.4491 25/3183 [..............................] - ETA: 1:29 - loss: 160.7932 - logits_profile_predictions_loss: 158.4365 - logcount_predictions_loss: 0.4447 27/3183 [..............................] - ETA: 1:28 - loss: 161.1781 - logits_profile_predictions_loss: 158.7847 - logcount_predictions_loss: 0.4516 29/3183 [..............................] - ETA: 1:28 - loss: 161.0692 - logits_profile_predictions_loss: 158.6859 - logcount_predictions_loss: 0.4497 31/3183 [..............................] - ETA: 1:28 - loss: 161.3619 - logits_profile_predictions_loss: 159.0159 - logcount_predictions_loss: 0.4426 33/3183 [..............................] - ETA: 1:28 - loss: 161.8152 - logits_profile_predictions_loss: 159.5000 - logcount_predictions_loss: 0.4368 35/3183 [..............................] - ETA: 1:27 - loss: 161.7400 - logits_profile_predictions_loss: 159.4143 - logcount_predictions_loss: 0.4388 37/3183 [..............................] - ETA: 1:27 - loss: 161.7746 - logits_profile_predictions_loss: 159.4971 - logcount_predictions_loss: 0.4297 39/3183 [..............................] - ETA: 1:27 - loss: 161.7104 - logits_profile_predictions_loss: 159.4231 - logcount_predictions_loss: 0.4316 41/3183 [..............................] - ETA: 1:27 - loss: 161.8562 - logits_profile_predictions_loss: 159.5623 - logcount_predictions_loss: 0.4328 43/3183 [..............................] - ETA: 1:27 - loss: 162.0402 - logits_profile_predictions_loss: 159.7586 - logcount_predictions_loss: 0.4305 45/3183 [..............................] - ETA: 1:27 - loss: 162.4290 - logits_profile_predictions_loss: 160.1593 - logcount_predictions_loss: 0.4282 47/3183 [..............................] - ETA: 1:27 - loss: 162.5192 - logits_profile_predictions_loss: 160.2667 - logcount_predictions_loss: 0.4250 49/3183 [..............................] - ETA: 1:26 - loss: 162.1893 - logits_profile_predictions_loss: 159.9400 - logcount_predictions_loss: 0.4244 51/3183 [..............................] - ETA: 1:26 - loss: 162.2516 - logits_profile_predictions_loss: 160.0203 - logcount_predictions_loss: 0.4210 53/3183 [..............................] - ETA: 1:26 - loss: 162.6765 - logits_profile_predictions_loss: 160.4689 - logcount_predictions_loss: 0.4165 55/3183 [..............................] - ETA: 1:26 - loss: 162.5494 - logits_profile_predictions_loss: 160.3172 - logcount_predictions_loss: 0.4212 57/3183 [..............................] - ETA: 1:26 - loss: 162.3701 - logits_profile_predictions_loss: 160.1584 - logcount_predictions_loss: 0.4173 59/3183 [..............................] - ETA: 1:26 - loss: 162.4019 - logits_profile_predictions_loss: 160.1884 - logcount_predictions_loss: 0.4176 61/3183 [..............................] - ETA: 1:26 - loss: 162.7602 - logits_profile_predictions_loss: 160.5459 - logcount_predictions_loss: 0.4178 63/3183 [..............................] - ETA: 1:26 - loss: 162.8018 - logits_profile_predictions_loss: 160.5850 - logcount_predictions_loss: 0.4183 65/3183 [..............................] - ETA: 1:26 - loss: 162.7301 - logits_profile_predictions_loss: 160.5228 - logcount_predictions_loss: 0.4165 67/3183 [..............................] - ETA: 1:26 - loss: 162.8074 - logits_profile_predictions_loss: 160.5955 - logcount_predictions_loss: 0.4173 69/3183 [..............................] - ETA: 1:25 - loss: 162.6511 - logits_profile_predictions_loss: 160.4249 - logcount_predictions_loss: 0.4200 71/3183 [..............................] - ETA: 1:25 - loss: 162.7876 - logits_profile_predictions_loss: 160.5700 - logcount_predictions_loss: 0.4184 73/3183 [..............................] - ETA: 1:25 - loss: 162.7896 - logits_profile_predictions_loss: 160.5571 - logcount_predictions_loss: 0.4212 75/3183 [..............................] - ETA: 1:25 - loss: 162.6116 - logits_profile_predictions_loss: 160.3573 - logcount_predictions_loss: 0.4253 77/3183 [..............................] - ETA: 1:25 - loss: 162.5682 - logits_profile_predictions_loss: 160.3268 - logcount_predictions_loss: 0.4229 79/3183 [..............................] - ETA: 1:25 - loss: 162.6541 - logits_profile_predictions_loss: 160.4099 - logcount_predictions_loss: 0.4235 81/3183 [..............................] - ETA: 1:25 - loss: 162.3759 - logits_profile_predictions_loss: 160.1425 - logcount_predictions_loss: 0.4214 83/3183 [..............................] - ETA: 1:25 - loss: 162.2266 - logits_profile_predictions_loss: 159.9810 - logcount_predictions_loss: 0.4237 85/3183 [..............................] - ETA: 1:25 - loss: 162.4269 - logits_profile_predictions_loss: 160.1835 - logcount_predictions_loss: 0.4233 87/3183 [..............................] - ETA: 1:25 - loss: 162.5250 - logits_profile_predictions_loss: 160.2777 - logcount_predictions_loss: 0.4240 89/3183 [..............................] - ETA: 1:25 - loss: 162.4256 - logits_profile_predictions_loss: 160.1665 - logcount_predictions_loss: 0.4262 91/3183 [..............................] - ETA: 1:25 - loss: 162.5127 - logits_profile_predictions_loss: 160.2589 - logcount_predictions_loss: 0.4253 93/3183 [..............................] - ETA: 1:25 - loss: 162.5375 - logits_profile_predictions_loss: 160.2885 - logcount_predictions_loss: 0.4243 95/3183 [..............................] - ETA: 1:24 - loss: 162.6855 - logits_profile_predictions_loss: 160.4369 - logcount_predictions_loss: 0.4243 97/3183 [..............................] - ETA: 1:24 - loss: 162.7048 - logits_profile_predictions_loss: 160.4361 - logcount_predictions_loss: 0.4281 99/3183 [..............................] - ETA: 1:24 - loss: 162.7046 - logits_profile_predictions_loss: 160.4294 - logcount_predictions_loss: 0.4293 101/3183 [..............................] - ETA: 1:24 - loss: 162.5847 - logits_profile_predictions_loss: 160.3059 - logcount_predictions_loss: 0.4300 103/3183 [..............................] - ETA: 1:24 - loss: 162.6668 - logits_profile_predictions_loss: 160.3940 - logcount_predictions_loss: 0.4288 105/3183 [..............................] - ETA: 1:24 - loss: 162.6913 - logits_profile_predictions_loss: 160.4267 - logcount_predictions_loss: 0.4273 107/3183 [>.............................] - ETA: 1:24 - loss: 162.5649 - logits_profile_predictions_loss: 160.2920 - logcount_predictions_loss: 0.4288 109/3183 [>.............................] - ETA: 1:24 - loss: 162.5076 - logits_profile_predictions_loss: 160.2393 - logcount_predictions_loss: 0.4280 111/3183 [>.............................] - ETA: 1:24 - loss: 162.8223 - logits_profile_predictions_loss: 160.5554 - logcount_predictions_loss: 0.4277 113/3183 [>.............................] - ETA: 1:24 - loss: 162.7873 - logits_profile_predictions_loss: 160.5178 - logcount_predictions_loss: 0.4282 115/3183 [>.............................] - ETA: 1:24 - loss: 162.8957 - logits_profile_predictions_loss: 160.6216 - logcount_predictions_loss: 0.4291 117/3183 [>.............................] - ETA: 1:24 - loss: 162.8677 - logits_profile_predictions_loss: 160.5908 - logcount_predictions_loss: 0.4296 119/3183 [>.............................] - ETA: 1:24 - loss: 162.7588 - logits_profile_predictions_loss: 160.4686 - logcount_predictions_loss: 0.4321 121/3183 [>.............................] - ETA: 1:24 - loss: 162.8353 - logits_profile_predictions_loss: 160.5488 - logcount_predictions_loss: 0.4314 123/3183 [>.............................] - ETA: 1:24 - loss: 162.8474 - logits_profile_predictions_loss: 160.5562 - logcount_predictions_loss: 0.4323 125/3183 [>.............................] - ETA: 1:24 - loss: 162.7363 - logits_profile_predictions_loss: 160.4469 - logcount_predictions_loss: 0.4319 127/3183 [>.............................] - ETA: 1:23 - loss: 162.7895 - logits_profile_predictions_loss: 160.5085 - logcount_predictions_loss: 0.4304 129/3183 [>.............................] - ETA: 1:23 - loss: 162.8085 - logits_profile_predictions_loss: 160.5302 - logcount_predictions_loss: 0.4298 131/3183 [>.............................] - ETA: 1:23 - loss: 162.8722 - logits_profile_predictions_loss: 160.5960 - logcount_predictions_loss: 0.4295 133/3183 [>.............................] - ETA: 1:23 - loss: 162.7705 - logits_profile_predictions_loss: 160.4987 - logcount_predictions_loss: 0.4286 135/3183 [>.............................] - ETA: 1:23 - loss: 162.8112 - logits_profile_predictions_loss: 160.5409 - logcount_predictions_loss: 0.4284 137/3183 [>.............................] - ETA: 1:23 - loss: 162.9637 - logits_profile_predictions_loss: 160.7004 - logcount_predictions_loss: 0.4270 139/3183 [>.............................] - ETA: 1:23 - loss: 163.1395 - logits_profile_predictions_loss: 160.8783 - logcount_predictions_loss: 0.4266 141/3183 [>.............................] - ETA: 1:23 - loss: 163.0908 - logits_profile_predictions_loss: 160.8254 - logcount_predictions_loss: 0.4274 143/3183 [>.............................] - ETA: 1:23 - loss: 163.1233 - logits_profile_predictions_loss: 160.8526 - logcount_predictions_loss: 0.4284 145/3183 [>.............................] - ETA: 1:23 - loss: 163.0602 - logits_profile_predictions_loss: 160.7827 - logcount_predictions_loss: 0.4297 147/3183 [>.............................] - ETA: 1:23 - loss: 163.0518 - logits_profile_predictions_loss: 160.7768 - logcount_predictions_loss: 0.4292 149/3183 [>.............................] - ETA: 1:23 - loss: 163.2435 - logits_profile_predictions_loss: 160.9673 - logcount_predictions_loss: 0.4295 151/3183 [>.............................] - ETA: 1:23 - loss: 163.2985 - logits_profile_predictions_loss: 161.0214 - logcount_predictions_loss: 0.4296 153/3183 [>.............................] - ETA: 1:23 - loss: 163.3030 - logits_profile_predictions_loss: 161.0256 - logcount_predictions_loss: 0.4297 155/3183 [>.............................] - ETA: 1:23 - loss: 163.3632 - logits_profile_predictions_loss: 161.0770 - logcount_predictions_loss: 0.4314 157/3183 [>.............................] - ETA: 1:23 - loss: 163.2583 - logits_profile_predictions_loss: 160.9823 - logcount_predictions_loss: 0.4294 159/3183 [>.............................] - ETA: 1:22 - loss: 163.2018 - logits_profile_predictions_loss: 160.9347 - logcount_predictions_loss: 0.4277 161/3183 [>.............................] - ETA: 1:22 - loss: 163.2737 - logits_profile_predictions_loss: 161.0063 - logcount_predictions_loss: 0.4278 163/3183 [>.............................] - ETA: 1:22 - loss: 163.1413 - logits_profile_predictions_loss: 160.8730 - logcount_predictions_loss: 0.4280 165/3183 [>.............................] - ETA: 1:22 - loss: 163.2152 - logits_profile_predictions_loss: 160.9430 - logcount_predictions_loss: 0.4287 167/3183 [>.............................] - ETA: 1:22 - loss: 163.1354 - logits_profile_predictions_loss: 160.8624 - logcount_predictions_loss: 0.4288 169/3183 [>.............................] - ETA: 1:22 - loss: 163.0995 - logits_profile_predictions_loss: 160.8308 - logcount_predictions_loss: 0.4280 171/3183 [>.............................] - ETA: 1:22 - loss: 163.0705 - logits_profile_predictions_loss: 160.8022 - logcount_predictions_loss: 0.4280 173/3183 [>.............................] - ETA: 1:22 - loss: 163.0570 - logits_profile_predictions_loss: 160.7917 - logcount_predictions_loss: 0.4274 175/3183 [>.............................] - ETA: 1:22 - loss: 163.0963 - logits_profile_predictions_loss: 160.8361 - logcount_predictions_loss: 0.4264 177/3183 [>.............................] - ETA: 1:22 - loss: 163.0952 - logits_profile_predictions_loss: 160.8294 - logcount_predictions_loss: 0.4275 179/3183 [>.............................] - ETA: 1:22 - loss: 163.0181 - logits_profile_predictions_loss: 160.7537 - logcount_predictions_loss: 0.4272 181/3183 [>.............................] - ETA: 1:22 - loss: 163.0268 - logits_profile_predictions_loss: 160.7604 - logcount_predictions_loss: 0.4276 183/3183 [>.............................] - ETA: 1:22 - loss: 163.0903 - logits_profile_predictions_loss: 160.8270 - logcount_predictions_loss: 0.4270 185/3183 [>.............................] - ETA: 1:22 - loss: 163.1486 - logits_profile_predictions_loss: 160.8794 - logcount_predictions_loss: 0.4281 187/3183 [>.............................] - ETA: 1:22 - loss: 163.1373 - logits_profile_predictions_loss: 160.8728 - logcount_predictions_loss: 0.4272 189/3183 [>.............................] - ETA: 1:22 - loss: 163.0716 - logits_profile_predictions_loss: 160.8088 - logcount_predictions_loss: 0.4269 191/3183 [>.............................] - ETA: 1:22 - loss: 163.1263 - logits_profile_predictions_loss: 160.8621 - logcount_predictions_loss: 0.4272 193/3183 [>.............................] - ETA: 1:22 - loss: 163.0842 - logits_profile_predictions_loss: 160.8201 - logcount_predictions_loss: 0.4272 195/3183 [>.............................] - ETA: 1:22 - loss: 163.0052 - logits_profile_predictions_loss: 160.7411 - logcount_predictions_loss: 0.4272 197/3183 [>.............................] - ETA: 1:22 - loss: 163.1380 - logits_profile_predictions_loss: 160.8732 - logcount_predictions_loss: 0.4273 199/3183 [>.............................] - ETA: 1:22 - loss: 163.1426 - logits_profile_predictions_loss: 160.8773 - logcount_predictions_loss: 0.4274 201/3183 [>.............................] - ETA: 1:21 - loss: 163.1899 - logits_profile_predictions_loss: 160.9244 - logcount_predictions_loss: 0.4274 203/3183 [>.............................] - ETA: 1:21 - loss: 163.1575 - logits_profile_predictions_loss: 160.8892 - logcount_predictions_loss: 0.4280 205/3183 [>.............................] - ETA: 1:21 - loss: 163.1223 - logits_profile_predictions_loss: 160.8577 - logcount_predictions_loss: 0.4273 207/3183 [>.............................] - ETA: 1:21 - loss: 163.0674 - logits_profile_predictions_loss: 160.8019 - logcount_predictions_loss: 0.4274 209/3183 [>.............................] - ETA: 1:21 - loss: 163.0895 - logits_profile_predictions_loss: 160.8245 - logcount_predictions_loss: 0.4274 211/3183 [>.............................] - ETA: 1:21 - loss: 163.1067 - logits_profile_predictions_loss: 160.8442 - logcount_predictions_loss: 0.4269 213/3183 [=>............................] - ETA: 1:21 - loss: 163.0154 - logits_profile_predictions_loss: 160.7545 - logcount_predictions_loss: 0.4266 215/3183 [=>............................] - ETA: 1:21 - loss: 162.9902 - logits_profile_predictions_loss: 160.7338 - logcount_predictions_loss: 0.4257 217/3183 [=>............................] - ETA: 1:21 - loss: 162.9330 - logits_profile_predictions_loss: 160.6761 - logcount_predictions_loss: 0.4258 219/3183 [=>............................] - ETA: 1:21 - loss: 162.9656 - 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160.0650 - logcount_predictions_loss: 0.4160 3042/3183 [===========================>..] - ETA: 3s - loss: 162.2658 - logits_profile_predictions_loss: 160.0607 - logcount_predictions_loss: 0.4161 3044/3183 [===========================>..] - ETA: 3s - loss: 162.2646 - logits_profile_predictions_loss: 160.0597 - logcount_predictions_loss: 0.4160 3046/3183 [===========================>..] - ETA: 3s - loss: 162.2634 - logits_profile_predictions_loss: 160.0588 - logcount_predictions_loss: 0.4160 3048/3183 [===========================>..] - ETA: 3s - loss: 162.2677 - logits_profile_predictions_loss: 160.0633 - logcount_predictions_loss: 0.4160 3050/3183 [===========================>..] - ETA: 3s - loss: 162.2672 - logits_profile_predictions_loss: 160.0630 - logcount_predictions_loss: 0.4159 3052/3183 [===========================>..] - ETA: 3s - loss: 162.2622 - logits_profile_predictions_loss: 160.0581 - logcount_predictions_loss: 0.4159 3054/3183 [===========================>..] - ETA: 3s - loss: 162.2572 - logits_profile_predictions_loss: 160.0531 - logcount_predictions_loss: 0.4159 3056/3183 [===========================>..] - ETA: 3s - loss: 162.2558 - logits_profile_predictions_loss: 160.0518 - logcount_predictions_loss: 0.4159 3058/3183 [===========================>..] - ETA: 3s - loss: 162.2544 - logits_profile_predictions_loss: 160.0508 - logcount_predictions_loss: 0.4158 3060/3183 [===========================>..] - ETA: 3s - loss: 162.2539 - logits_profile_predictions_loss: 160.0499 - logcount_predictions_loss: 0.4159 3062/3183 [===========================>..] - ETA: 3s - loss: 162.2566 - logits_profile_predictions_loss: 160.0526 - logcount_predictions_loss: 0.4159 3064/3183 [===========================>..] - ETA: 3s - loss: 162.2630 - logits_profile_predictions_loss: 160.0591 - logcount_predictions_loss: 0.4159 3066/3183 [===========================>..] - ETA: 3s - loss: 162.2634 - logits_profile_predictions_loss: 160.0592 - logcount_predictions_loss: 0.4159 3068/3183 [===========================>..] - ETA: 3s - loss: 162.2675 - logits_profile_predictions_loss: 160.0636 - logcount_predictions_loss: 0.4159 3070/3183 [===========================>..] - ETA: 3s - loss: 162.2631 - logits_profile_predictions_loss: 160.0593 - logcount_predictions_loss: 0.4159 3072/3183 [===========================>..] - ETA: 3s - loss: 162.2613 - logits_profile_predictions_loss: 160.0572 - logcount_predictions_loss: 0.4159 3074/3183 [===========================>..] - ETA: 3s - loss: 162.2566 - logits_profile_predictions_loss: 160.0524 - logcount_predictions_loss: 0.4159 3076/3183 [===========================>..] - ETA: 2s - loss: 162.2505 - logits_profile_predictions_loss: 160.0461 - logcount_predictions_loss: 0.4160 3078/3183 [============================>.] - ETA: 2s - loss: 162.2487 - logits_profile_predictions_loss: 160.0444 - logcount_predictions_loss: 0.4159 3080/3183 [============================>.] - ETA: 2s - loss: 162.2559 - logits_profile_predictions_loss: 160.0515 - logcount_predictions_loss: 0.4160 3082/3183 [============================>.] - ETA: 2s - loss: 162.2542 - logits_profile_predictions_loss: 160.0499 - logcount_predictions_loss: 0.4159 3084/3183 [============================>.] - ETA: 2s - loss: 162.2513 - logits_profile_predictions_loss: 160.0470 - logcount_predictions_loss: 0.4159 3086/3183 [============================>.] - ETA: 2s - loss: 162.2599 - logits_profile_predictions_loss: 160.0554 - logcount_predictions_loss: 0.4160 3088/3183 [============================>.] - ETA: 2s - loss: 162.2637 - logits_profile_predictions_loss: 160.0593 - logcount_predictions_loss: 0.4160 3090/3183 [============================>.] - ETA: 2s - loss: 162.2672 - logits_profile_predictions_loss: 160.0624 - logcount_predictions_loss: 0.4160 3092/3183 [============================>.] - ETA: 2s - loss: 162.2621 - logits_profile_predictions_loss: 160.0577 - logcount_predictions_loss: 0.4160 3094/3183 [============================>.] - ETA: 2s - loss: 162.2619 - logits_profile_predictions_loss: 160.0577 - logcount_predictions_loss: 0.4159 3096/3183 [============================>.] - ETA: 2s - loss: 162.2698 - logits_profile_predictions_loss: 160.0656 - logcount_predictions_loss: 0.4159 3098/3183 [============================>.] - ETA: 2s - loss: 162.2693 - logits_profile_predictions_loss: 160.0649 - logcount_predictions_loss: 0.4160 3100/3183 [============================>.] - ETA: 2s - loss: 162.2688 - logits_profile_predictions_loss: 160.0648 - logcount_predictions_loss: 0.4159 3102/3183 [============================>.] - ETA: 2s - loss: 162.2654 - logits_profile_predictions_loss: 160.0613 - logcount_predictions_loss: 0.4159 3104/3183 [============================>.] - ETA: 2s - loss: 162.2590 - logits_profile_predictions_loss: 160.0546 - logcount_predictions_loss: 0.4160 3106/3183 [============================>.] - ETA: 2s - loss: 162.2562 - logits_profile_predictions_loss: 160.0517 - logcount_predictions_loss: 0.4160 3108/3183 [============================>.] - ETA: 2s - loss: 162.2526 - logits_profile_predictions_loss: 160.0480 - logcount_predictions_loss: 0.4160 3110/3183 [============================>.] - ETA: 2s - loss: 162.2547 - logits_profile_predictions_loss: 160.0503 - logcount_predictions_loss: 0.4160 3112/3183 [============================>.] - ETA: 1s - loss: 162.2543 - logits_profile_predictions_loss: 160.0501 - logcount_predictions_loss: 0.4159 3114/3183 [============================>.] - ETA: 1s - loss: 162.2541 - logits_profile_predictions_loss: 160.0501 - logcount_predictions_loss: 0.4159 3116/3183 [============================>.] - ETA: 1s - loss: 162.2583 - logits_profile_predictions_loss: 160.0542 - logcount_predictions_loss: 0.4159 3118/3183 [============================>.] - ETA: 1s - loss: 162.2614 - logits_profile_predictions_loss: 160.0575 - logcount_predictions_loss: 0.4159 3120/3183 [============================>.] - ETA: 1s - loss: 162.2632 - logits_profile_predictions_loss: 160.0595 - logcount_predictions_loss: 0.4158 3122/3183 [============================>.] - ETA: 1s - loss: 162.2710 - logits_profile_predictions_loss: 160.0676 - logcount_predictions_loss: 0.4158 3124/3183 [============================>.] - ETA: 1s - loss: 162.2619 - logits_profile_predictions_loss: 160.0589 - logcount_predictions_loss: 0.4157 3126/3183 [============================>.] - ETA: 1s - loss: 162.2555 - logits_profile_predictions_loss: 160.0527 - logcount_predictions_loss: 0.4157 3128/3183 [============================>.] - ETA: 1s - loss: 162.2577 - logits_profile_predictions_loss: 160.0548 - logcount_predictions_loss: 0.4157 3130/3183 [============================>.] - ETA: 1s - loss: 162.2649 - logits_profile_predictions_loss: 160.0620 - logcount_predictions_loss: 0.4157 3132/3183 [============================>.] - ETA: 1s - loss: 162.2675 - logits_profile_predictions_loss: 160.0645 - logcount_predictions_loss: 0.4157 3134/3183 [============================>.] - ETA: 1s - loss: 162.2710 - logits_profile_predictions_loss: 160.0682 - logcount_predictions_loss: 0.4157 3136/3183 [============================>.] - ETA: 1s - loss: 162.2721 - logits_profile_predictions_loss: 160.0694 - logcount_predictions_loss: 0.4156 3138/3183 [============================>.] - ETA: 1s - loss: 162.2676 - logits_profile_predictions_loss: 160.0653 - logcount_predictions_loss: 0.4156 3140/3183 [============================>.] - ETA: 1s - loss: 162.2632 - logits_profile_predictions_loss: 160.0611 - logcount_predictions_loss: 0.4155 3142/3183 [============================>.] - ETA: 1s - loss: 162.2572 - logits_profile_predictions_loss: 160.0551 - logcount_predictions_loss: 0.4155 3144/3183 [============================>.] - ETA: 1s - loss: 162.2585 - logits_profile_predictions_loss: 160.0565 - logcount_predictions_loss: 0.4155 3146/3183 [============================>.] - ETA: 1s - loss: 162.2591 - logits_profile_predictions_loss: 160.0575 - logcount_predictions_loss: 0.4155 3148/3183 [============================>.] - ETA: 0s - loss: 162.2588 - logits_profile_predictions_loss: 160.0569 - logcount_predictions_loss: 0.4155 3150/3183 [============================>.] - ETA: 0s - loss: 162.2547 - logits_profile_predictions_loss: 160.0528 - logcount_predictions_loss: 0.4155 3152/3183 [============================>.] - ETA: 0s - loss: 162.2578 - logits_profile_predictions_loss: 160.0558 - logcount_predictions_loss: 0.4155 3154/3183 [============================>.] - ETA: 0s - loss: 162.2619 - logits_profile_predictions_loss: 160.0602 - logcount_predictions_loss: 0.4155 3156/3183 [============================>.] - ETA: 0s - loss: 162.2632 - logits_profile_predictions_loss: 160.0612 - logcount_predictions_loss: 0.4155 3158/3183 [============================>.] - ETA: 0s - loss: 162.2541 - logits_profile_predictions_loss: 160.0518 - logcount_predictions_loss: 0.4156 3160/3183 [============================>.] - ETA: 0s - loss: 162.2471 - logits_profile_predictions_loss: 160.0447 - logcount_predictions_loss: 0.4156 3162/3183 [============================>.] - ETA: 0s - loss: 162.2506 - logits_profile_predictions_loss: 160.0483 - logcount_predictions_loss: 0.4156 3164/3183 [============================>.] - ETA: 0s - loss: 162.2546 - logits_profile_predictions_loss: 160.0524 - logcount_predictions_loss: 0.4156 3166/3183 [============================>.] - ETA: 0s - loss: 162.2566 - logits_profile_predictions_loss: 160.0542 - logcount_predictions_loss: 0.4156 3168/3183 [============================>.] - ETA: 0s - loss: 162.2502 - logits_profile_predictions_loss: 160.0478 - logcount_predictions_loss: 0.4156 3170/3183 [============================>.] - ETA: 0s - loss: 162.2542 - logits_profile_predictions_loss: 160.0517 - logcount_predictions_loss: 0.4156 3172/3183 [============================>.] - ETA: 0s - loss: 162.2590 - logits_profile_predictions_loss: 160.0565 - logcount_predictions_loss: 0.4156 3174/3183 [============================>.] - ETA: 0s - loss: 162.2559 - logits_profile_predictions_loss: 160.0531 - logcount_predictions_loss: 0.4157 3176/3183 [============================>.] - ETA: 0s - loss: 162.2583 - logits_profile_predictions_loss: 160.0553 - logcount_predictions_loss: 0.4157 3178/3183 [============================>.] - ETA: 0s - loss: 162.2565 - logits_profile_predictions_loss: 160.0536 - logcount_predictions_loss: 0.4157 3180/3183 [============================>.] - ETA: 0s - loss: 162.2529 - logits_profile_predictions_loss: 160.0498 - logcount_predictions_loss: 0.4157 3182/3183 [============================>.] - ETA: 0s - loss: 162.2516 - logits_profile_predictions_loss: 160.0483 - logcount_predictions_loss: 0.4158 Epoch 14: val_loss did not improve from 164.61786  3183/3183 [==============================] - 92s 29ms/step - loss: 162.2522 - logits_profile_predictions_loss: 160.0490 - logcount_predictions_loss: 0.4158 - val_loss: 164.6529 - val_logits_profile_predictions_loss: 162.9871 - val_logcount_predictions_loss: 0.3143 Epoch 15/50 1/3183 [..............................] - ETA: 2:25 - loss: 170.1766 - logits_profile_predictions_loss: 167.7930 - logcount_predictions_loss: 0.4497 3/3183 [..............................] - ETA: 1:40 - loss: 170.1031 - logits_profile_predictions_loss: 167.8420 - logcount_predictions_loss: 0.4266 5/3183 [..............................] - ETA: 1:40 - loss: 164.6340 - logits_profile_predictions_loss: 162.2419 - logcount_predictions_loss: 0.4514 7/3183 [..............................] - ETA: 1:37 - loss: 162.7247 - logits_profile_predictions_loss: 160.2204 - logcount_predictions_loss: 0.4725 9/3183 [..............................] - ETA: 1:34 - loss: 162.1345 - logits_profile_predictions_loss: 159.6519 - logcount_predictions_loss: 0.4684 11/3183 [..............................] - ETA: 1:32 - loss: 160.0773 - logits_profile_predictions_loss: 157.6402 - logcount_predictions_loss: 0.4598 13/3183 [..............................] - ETA: 1:31 - loss: 159.3985 - logits_profile_predictions_loss: 157.0492 - logcount_predictions_loss: 0.4433 15/3183 [..............................] - ETA: 1:31 - loss: 160.5798 - logits_profile_predictions_loss: 158.2443 - logcount_predictions_loss: 0.4407 17/3183 [..............................] - ETA: 1:30 - loss: 161.1093 - logits_profile_predictions_loss: 158.8046 - logcount_predictions_loss: 0.4349 19/3183 [..............................] - ETA: 1:29 - loss: 160.1982 - logits_profile_predictions_loss: 157.8785 - logcount_predictions_loss: 0.4377 21/3183 [..............................] - ETA: 1:29 - loss: 160.0977 - logits_profile_predictions_loss: 157.8647 - logcount_predictions_loss: 0.4213 23/3183 [..............................] - ETA: 1:29 - loss: 160.5407 - logits_profile_predictions_loss: 158.3136 - logcount_predictions_loss: 0.4202 25/3183 [..............................] - ETA: 1:28 - loss: 161.0386 - logits_profile_predictions_loss: 158.8094 - logcount_predictions_loss: 0.4206 27/3183 [..............................] - ETA: 1:28 - loss: 161.0726 - logits_profile_predictions_loss: 158.8462 - logcount_predictions_loss: 0.4201 29/3183 [..............................] - ETA: 1:29 - loss: 161.1834 - logits_profile_predictions_loss: 158.9561 - logcount_predictions_loss: 0.4202 31/3183 [..............................] - ETA: 1:30 - loss: 161.2939 - logits_profile_predictions_loss: 159.0757 - logcount_predictions_loss: 0.4185 33/3183 [..............................] - ETA: 1:32 - loss: 161.2580 - logits_profile_predictions_loss: 159.0517 - logcount_predictions_loss: 0.4163 35/3183 [..............................] - ETA: 1:32 - loss: 161.2436 - logits_profile_predictions_loss: 159.0470 - logcount_predictions_loss: 0.4145 37/3183 [..............................] - ETA: 1:33 - loss: 161.6588 - logits_profile_predictions_loss: 159.4745 - logcount_predictions_loss: 0.4121 39/3183 [..............................] - ETA: 1:33 - loss: 161.7998 - logits_profile_predictions_loss: 159.6431 - logcount_predictions_loss: 0.4069 41/3183 [..............................] - ETA: 1:33 - loss: 161.4570 - logits_profile_predictions_loss: 159.2740 - logcount_predictions_loss: 0.4119 43/3183 [..............................] - ETA: 1:32 - loss: 161.7459 - logits_profile_predictions_loss: 159.5650 - logcount_predictions_loss: 0.4115 45/3183 [..............................] - ETA: 1:32 - loss: 161.3216 - logits_profile_predictions_loss: 159.1232 - logcount_predictions_loss: 0.4148 47/3183 [..............................] - ETA: 1:32 - loss: 161.5206 - logits_profile_predictions_loss: 159.3275 - logcount_predictions_loss: 0.4138 49/3183 [..............................] - ETA: 1:31 - loss: 161.8974 - logits_profile_predictions_loss: 159.7235 - logcount_predictions_loss: 0.4102 51/3183 [..............................] - ETA: 1:31 - loss: 161.8169 - logits_profile_predictions_loss: 159.6386 - logcount_predictions_loss: 0.4110 53/3183 [..............................] - ETA: 1:31 - loss: 161.9622 - logits_profile_predictions_loss: 159.7743 - logcount_predictions_loss: 0.4128 55/3183 [..............................] - ETA: 1:30 - loss: 162.0750 - logits_profile_predictions_loss: 159.8973 - logcount_predictions_loss: 0.4109 57/3183 [..............................] - ETA: 1:30 - loss: 162.4333 - logits_profile_predictions_loss: 160.2641 - logcount_predictions_loss: 0.4093 59/3183 [..............................] - ETA: 1:30 - loss: 162.4136 - logits_profile_predictions_loss: 160.2471 - logcount_predictions_loss: 0.4088 61/3183 [..............................] - ETA: 1:30 - loss: 162.3478 - logits_profile_predictions_loss: 160.1737 - logcount_predictions_loss: 0.4102 63/3183 [..............................] - ETA: 1:30 - loss: 162.4126 - logits_profile_predictions_loss: 160.2566 - logcount_predictions_loss: 0.4068 65/3183 [..............................] - ETA: 1:29 - loss: 162.3338 - logits_profile_predictions_loss: 160.1807 - logcount_predictions_loss: 0.4062 67/3183 [..............................] - ETA: 1:29 - loss: 162.5010 - logits_profile_predictions_loss: 160.3547 - logcount_predictions_loss: 0.4050 69/3183 [..............................] - ETA: 1:29 - loss: 162.4038 - logits_profile_predictions_loss: 160.2741 - logcount_predictions_loss: 0.4018 71/3183 [..............................] - ETA: 1:29 - loss: 162.3962 - logits_profile_predictions_loss: 160.2853 - logcount_predictions_loss: 0.3983 73/3183 [..............................] - ETA: 1:29 - loss: 162.5697 - logits_profile_predictions_loss: 160.4507 - logcount_predictions_loss: 0.3998 75/3183 [..............................] - ETA: 1:29 - loss: 162.5162 - logits_profile_predictions_loss: 160.3721 - logcount_predictions_loss: 0.4045 77/3183 [..............................] - ETA: 1:29 - loss: 162.7987 - logits_profile_predictions_loss: 160.6476 - logcount_predictions_loss: 0.4059 79/3183 [..............................] - ETA: 1:28 - loss: 162.5155 - logits_profile_predictions_loss: 160.3542 - logcount_predictions_loss: 0.4078 81/3183 [..............................] - ETA: 1:28 - loss: 162.2928 - logits_profile_predictions_loss: 160.1197 - logcount_predictions_loss: 0.4100 83/3183 [..............................] - ETA: 1:28 - loss: 162.4140 - logits_profile_predictions_loss: 160.2444 - logcount_predictions_loss: 0.4094 85/3183 [..............................] - ETA: 1:28 - loss: 162.2858 - logits_profile_predictions_loss: 160.1166 - logcount_predictions_loss: 0.4093 87/3183 [..............................] - ETA: 1:28 - loss: 162.4933 - logits_profile_predictions_loss: 160.3284 - logcount_predictions_loss: 0.4085 89/3183 [..............................] - ETA: 1:28 - loss: 162.4166 - logits_profile_predictions_loss: 160.2619 - logcount_predictions_loss: 0.4065 91/3183 [..............................] - ETA: 1:28 - loss: 162.2923 - logits_profile_predictions_loss: 160.1144 - logcount_predictions_loss: 0.4109 93/3183 [..............................] - ETA: 1:27 - loss: 162.4474 - logits_profile_predictions_loss: 160.2552 - logcount_predictions_loss: 0.4136 95/3183 [..............................] - ETA: 1:27 - loss: 162.3795 - logits_profile_predictions_loss: 160.1869 - logcount_predictions_loss: 0.4137 97/3183 [..............................] - ETA: 1:27 - loss: 162.3640 - logits_profile_predictions_loss: 160.1804 - logcount_predictions_loss: 0.4120 99/3183 [..............................] - ETA: 1:27 - loss: 162.4208 - logits_profile_predictions_loss: 160.2342 - logcount_predictions_loss: 0.4126 101/3183 [..............................] - ETA: 1:27 - loss: 162.3410 - logits_profile_predictions_loss: 160.1546 - logcount_predictions_loss: 0.4125 103/3183 [..............................] - ETA: 1:27 - loss: 162.1967 - logits_profile_predictions_loss: 159.9976 - logcount_predictions_loss: 0.4149 105/3183 [..............................] - ETA: 1:27 - loss: 162.3031 - logits_profile_predictions_loss: 160.1070 - logcount_predictions_loss: 0.4144 107/3183 [>.............................] - ETA: 1:27 - loss: 162.4025 - logits_profile_predictions_loss: 160.2072 - logcount_predictions_loss: 0.4142 109/3183 [>.............................] - ETA: 1:27 - loss: 162.4233 - logits_profile_predictions_loss: 160.2315 - logcount_predictions_loss: 0.4135 111/3183 [>.............................] - ETA: 1:26 - loss: 162.4107 - logits_profile_predictions_loss: 160.1996 - logcount_predictions_loss: 0.4172 113/3183 [>.............................] - ETA: 1:26 - loss: 162.4539 - logits_profile_predictions_loss: 160.2265 - logcount_predictions_loss: 0.4203 115/3183 [>.............................] - ETA: 1:26 - loss: 162.3649 - logits_profile_predictions_loss: 160.1370 - logcount_predictions_loss: 0.4204 117/3183 [>.............................] - ETA: 1:26 - loss: 162.4995 - logits_profile_predictions_loss: 160.2775 - logcount_predictions_loss: 0.4192 119/3183 [>.............................] - ETA: 1:26 - loss: 162.4142 - logits_profile_predictions_loss: 160.1875 - logcount_predictions_loss: 0.4201 121/3183 [>.............................] - ETA: 1:26 - loss: 162.4272 - logits_profile_predictions_loss: 160.2097 - logcount_predictions_loss: 0.4184 123/3183 [>.............................] - ETA: 1:26 - loss: 162.2901 - logits_profile_predictions_loss: 160.0636 - logcount_predictions_loss: 0.4201 125/3183 [>.............................] - ETA: 1:26 - loss: 162.2929 - logits_profile_predictions_loss: 160.0579 - logcount_predictions_loss: 0.4217 127/3183 [>.............................] - ETA: 1:26 - loss: 162.2998 - logits_profile_predictions_loss: 160.0633 - logcount_predictions_loss: 0.4220 129/3183 [>.............................] - ETA: 1:26 - loss: 162.3340 - logits_profile_predictions_loss: 160.0967 - logcount_predictions_loss: 0.4221 131/3183 [>.............................] - ETA: 1:25 - loss: 162.3335 - logits_profile_predictions_loss: 160.0989 - logcount_predictions_loss: 0.4216 133/3183 [>.............................] - ETA: 1:25 - loss: 162.3663 - logits_profile_predictions_loss: 160.1314 - logcount_predictions_loss: 0.4217 135/3183 [>.............................] - ETA: 1:25 - loss: 162.4583 - logits_profile_predictions_loss: 160.2273 - logcount_predictions_loss: 0.4209 137/3183 [>.............................] - ETA: 1:25 - loss: 162.4364 - logits_profile_predictions_loss: 160.2051 - logcount_predictions_loss: 0.4210 139/3183 [>.............................] - ETA: 1:25 - loss: 162.3503 - logits_profile_predictions_loss: 160.1138 - logcount_predictions_loss: 0.4220 141/3183 [>.............................] - ETA: 1:25 - loss: 162.5424 - logits_profile_predictions_loss: 160.3149 - logcount_predictions_loss: 0.4203 143/3183 [>.............................] - ETA: 1:25 - loss: 162.6036 - 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[===========================>..] - ETA: 4s - loss: 162.1820 - logits_profile_predictions_loss: 159.9982 - logcount_predictions_loss: 0.4120 3030/3183 [===========================>..] - ETA: 4s - loss: 162.1869 - logits_profile_predictions_loss: 160.0029 - logcount_predictions_loss: 0.4121 3032/3183 [===========================>..] - ETA: 4s - loss: 162.1974 - logits_profile_predictions_loss: 160.0133 - logcount_predictions_loss: 0.4121 3034/3183 [===========================>..] - ETA: 4s - loss: 162.1929 - logits_profile_predictions_loss: 160.0082 - logcount_predictions_loss: 0.4122 3036/3183 [===========================>..] - ETA: 4s - loss: 162.1951 - logits_profile_predictions_loss: 160.0103 - logcount_predictions_loss: 0.4122 3038/3183 [===========================>..] - ETA: 4s - loss: 162.1977 - logits_profile_predictions_loss: 160.0130 - logcount_predictions_loss: 0.4122 3040/3183 [===========================>..] - ETA: 3s - loss: 162.2080 - logits_profile_predictions_loss: 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[============================>.] - ETA: 2s - loss: 162.1975 - logits_profile_predictions_loss: 160.0115 - logcount_predictions_loss: 0.4125 3096/3183 [============================>.] - ETA: 2s - loss: 162.2013 - logits_profile_predictions_loss: 160.0156 - logcount_predictions_loss: 0.4124 3098/3183 [============================>.] - ETA: 2s - loss: 162.1950 - logits_profile_predictions_loss: 160.0089 - logcount_predictions_loss: 0.4125 3100/3183 [============================>.] - ETA: 2s - loss: 162.1935 - logits_profile_predictions_loss: 160.0071 - logcount_predictions_loss: 0.4125 3102/3183 [============================>.] - ETA: 2s - loss: 162.1886 - logits_profile_predictions_loss: 160.0021 - logcount_predictions_loss: 0.4125 3104/3183 [============================>.] - ETA: 2s - loss: 162.1870 - logits_profile_predictions_loss: 160.0005 - logcount_predictions_loss: 0.4126 3106/3183 [============================>.] - ETA: 2s - loss: 162.1814 - logits_profile_predictions_loss: 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3134/3183 [============================>.] - ETA: 1s - loss: 162.2154 - logits_profile_predictions_loss: 160.0295 - logcount_predictions_loss: 0.4124 3136/3183 [============================>.] - ETA: 1s - loss: 162.2107 - logits_profile_predictions_loss: 160.0244 - logcount_predictions_loss: 0.4125 3138/3183 [============================>.] - ETA: 1s - loss: 162.2070 - logits_profile_predictions_loss: 160.0202 - logcount_predictions_loss: 0.4126 3140/3183 [============================>.] - ETA: 1s - loss: 162.2098 - logits_profile_predictions_loss: 160.0233 - logcount_predictions_loss: 0.4125 3142/3183 [============================>.] - ETA: 1s - loss: 162.2077 - logits_profile_predictions_loss: 160.0210 - logcount_predictions_loss: 0.4126 3144/3183 [============================>.] - ETA: 1s - loss: 162.2039 - logits_profile_predictions_loss: 160.0174 - logcount_predictions_loss: 0.4126 3146/3183 [============================>.] - ETA: 1s - loss: 162.1990 - logits_profile_predictions_loss: 160.0126 - logcount_predictions_loss: 0.4125 3148/3183 [============================>.] - ETA: 0s - loss: 162.2035 - logits_profile_predictions_loss: 160.0164 - logcount_predictions_loss: 0.4127 3150/3183 [============================>.] - ETA: 0s - loss: 162.2003 - logits_profile_predictions_loss: 160.0131 - logcount_predictions_loss: 0.4127 3152/3183 [============================>.] - ETA: 0s - loss: 162.2025 - logits_profile_predictions_loss: 160.0154 - logcount_predictions_loss: 0.4127 3154/3183 [============================>.] - ETA: 0s - loss: 162.2038 - logits_profile_predictions_loss: 160.0164 - logcount_predictions_loss: 0.4127 3156/3183 [============================>.] - ETA: 0s - loss: 162.2086 - logits_profile_predictions_loss: 160.0217 - logcount_predictions_loss: 0.4126 3158/3183 [============================>.] - ETA: 0s - loss: 162.2148 - logits_profile_predictions_loss: 160.0277 - logcount_predictions_loss: 0.4127 3160/3183 [============================>.] - ETA: 0s - loss: 162.2184 - logits_profile_predictions_loss: 160.0313 - logcount_predictions_loss: 0.4127 3162/3183 [============================>.] - ETA: 0s - loss: 162.2233 - logits_profile_predictions_loss: 160.0358 - logcount_predictions_loss: 0.4127 3164/3183 [============================>.] - ETA: 0s - loss: 162.2123 - logits_profile_predictions_loss: 160.0249 - logcount_predictions_loss: 0.4127 3166/3183 [============================>.] - ETA: 0s - loss: 162.2130 - logits_profile_predictions_loss: 160.0259 - logcount_predictions_loss: 0.4127 3168/3183 [============================>.] - ETA: 0s - loss: 162.2123 - logits_profile_predictions_loss: 160.0252 - logcount_predictions_loss: 0.4127 3170/3183 [============================>.] - ETA: 0s - loss: 162.2082 - logits_profile_predictions_loss: 160.0210 - logcount_predictions_loss: 0.4127 3171/3183 [============================>.] - ETA: 0s - loss: 162.2131 - logits_profile_predictions_loss: 160.0260 - logcount_predictions_loss: 0.4127 3173/3183 [============================>.] - ETA: 0s - loss: 162.2137 - logits_profile_predictions_loss: 160.0263 - logcount_predictions_loss: 0.4127 3175/3183 [============================>.] - ETA: 0s - loss: 162.2081 - logits_profile_predictions_loss: 160.0209 - logcount_predictions_loss: 0.4127 3177/3183 [============================>.] - ETA: 0s - loss: 162.2060 - logits_profile_predictions_loss: 160.0186 - logcount_predictions_loss: 0.4127 3179/3183 [============================>.] - ETA: 0s - loss: 162.2124 - logits_profile_predictions_loss: 160.0251 - logcount_predictions_loss: 0.4127 3181/3183 [============================>.] - ETA: 0s - loss: 162.2160 - logits_profile_predictions_loss: 160.0287 - logcount_predictions_loss: 0.4127 3183/3183 [==============================] - ETA: 0s - loss: 162.2182 - logits_profile_predictions_loss: 160.0311 - logcount_predictions_loss: 0.4127 Epoch 15: val_loss did not improve from 164.61786  3183/3183 [==============================] - 92s 29ms/step - loss: 162.2182 - logits_profile_predictions_loss: 160.0311 - logcount_predictions_loss: 0.4127 - val_loss: 164.6233 - val_logits_profile_predictions_loss: 162.9424 - val_logcount_predictions_loss: 0.3172 Epoch 16/50 1/3183 [..............................] - ETA: 2:24 - loss: 157.7956 - logits_profile_predictions_loss: 155.6442 - logcount_predictions_loss: 0.4059 3/3183 [..............................] - ETA: 1:40 - loss: 161.4671 - logits_profile_predictions_loss: 159.3172 - logcount_predictions_loss: 0.4056 5/3183 [..............................] - ETA: 1:40 - loss: 163.1830 - logits_profile_predictions_loss: 160.7320 - logcount_predictions_loss: 0.4625 7/3183 [..............................] - ETA: 1:39 - loss: 163.2803 - logits_profile_predictions_loss: 160.9833 - logcount_predictions_loss: 0.4334 9/3183 [..............................] - ETA: 1:37 - loss: 163.7392 - logits_profile_predictions_loss: 161.5443 - logcount_predictions_loss: 0.4141 11/3183 [..............................] - ETA: 1:34 - loss: 163.1884 - logits_profile_predictions_loss: 160.9960 - logcount_predictions_loss: 0.4136 13/3183 [..............................] - ETA: 1:33 - loss: 164.7756 - logits_profile_predictions_loss: 162.6262 - logcount_predictions_loss: 0.4055 15/3183 [..............................] - ETA: 1:32 - loss: 164.8983 - logits_profile_predictions_loss: 162.7845 - logcount_predictions_loss: 0.3988 17/3183 [..............................] - ETA: 1:31 - loss: 164.7709 - logits_profile_predictions_loss: 162.6896 - logcount_predictions_loss: 0.3927 19/3183 [..............................] - ETA: 1:30 - loss: 164.5431 - logits_profile_predictions_loss: 162.4431 - logcount_predictions_loss: 0.3962 21/3183 [..............................] - ETA: 1:29 - loss: 165.3591 - logits_profile_predictions_loss: 163.3068 - logcount_predictions_loss: 0.3872 23/3183 [..............................] - ETA: 1:29 - loss: 165.3853 - logits_profile_predictions_loss: 163.2778 - logcount_predictions_loss: 0.3976 25/3183 [..............................] - ETA: 1:28 - loss: 165.2553 - logits_profile_predictions_loss: 163.1141 - logcount_predictions_loss: 0.4040 27/3183 [..............................] - ETA: 1:28 - loss: 164.8590 - logits_profile_predictions_loss: 162.7020 - logcount_predictions_loss: 0.4070 29/3183 [..............................] - ETA: 1:28 - loss: 164.3033 - logits_profile_predictions_loss: 162.1270 - logcount_predictions_loss: 0.4106 31/3183 [..............................] - ETA: 1:28 - loss: 164.5923 - logits_profile_predictions_loss: 162.4484 - logcount_predictions_loss: 0.4045 33/3183 [..............................] - ETA: 1:27 - loss: 164.8831 - logits_profile_predictions_loss: 162.7246 - logcount_predictions_loss: 0.4072 35/3183 [..............................] - ETA: 1:27 - loss: 164.5232 - logits_profile_predictions_loss: 162.3535 - logcount_predictions_loss: 0.4094 37/3183 [..............................] - ETA: 1:27 - loss: 164.4504 - logits_profile_predictions_loss: 162.2596 - logcount_predictions_loss: 0.4133 39/3183 [..............................] - ETA: 1:27 - loss: 164.6081 - logits_profile_predictions_loss: 162.4391 - logcount_predictions_loss: 0.4093 41/3183 [..............................] - ETA: 1:27 - loss: 164.6225 - logits_profile_predictions_loss: 162.4524 - logcount_predictions_loss: 0.4094 43/3183 [..............................] - ETA: 1:26 - loss: 165.0775 - logits_profile_predictions_loss: 162.9538 - logcount_predictions_loss: 0.4007 45/3183 [..............................] - ETA: 1:26 - loss: 164.9373 - logits_profile_predictions_loss: 162.8074 - logcount_predictions_loss: 0.4019 47/3183 [..............................] - ETA: 1:26 - loss: 164.3522 - logits_profile_predictions_loss: 162.2191 - logcount_predictions_loss: 0.4025 49/3183 [..............................] - ETA: 1:26 - loss: 163.6894 - logits_profile_predictions_loss: 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[============================>.] - ETA: 0s - loss: 162.1792 - logits_profile_predictions_loss: 160.0027 - logcount_predictions_loss: 0.4108 3162/3183 [============================>.] - ETA: 0s - loss: 162.1849 - logits_profile_predictions_loss: 160.0086 - logcount_predictions_loss: 0.4107 3164/3183 [============================>.] - ETA: 0s - loss: 162.1835 - logits_profile_predictions_loss: 160.0074 - logcount_predictions_loss: 0.4107 3166/3183 [============================>.] - ETA: 0s - loss: 162.1812 - logits_profile_predictions_loss: 160.0047 - logcount_predictions_loss: 0.4107 3168/3183 [============================>.] - ETA: 0s - loss: 162.1832 - logits_profile_predictions_loss: 160.0069 - logcount_predictions_loss: 0.4107 3170/3183 [============================>.] - ETA: 0s - loss: 162.1801 - logits_profile_predictions_loss: 160.0040 - logcount_predictions_loss: 0.4107 3172/3183 [============================>.] - ETA: 0s - loss: 162.1824 - logits_profile_predictions_loss: 160.0065 - logcount_predictions_loss: 0.4106 3174/3183 [============================>.] - ETA: 0s - loss: 162.1834 - logits_profile_predictions_loss: 160.0077 - logcount_predictions_loss: 0.4106 3176/3183 [============================>.] - ETA: 0s - loss: 162.1888 - logits_profile_predictions_loss: 160.0132 - logcount_predictions_loss: 0.4106 3178/3183 [============================>.] - ETA: 0s - loss: 162.1889 - logits_profile_predictions_loss: 160.0133 - logcount_predictions_loss: 0.4106 3180/3183 [============================>.] - ETA: 0s - loss: 162.1881 - logits_profile_predictions_loss: 160.0127 - logcount_predictions_loss: 0.4105 3182/3183 [============================>.] - ETA: 0s - loss: 162.1927 - logits_profile_predictions_loss: 160.0171 - logcount_predictions_loss: 0.4106 Epoch 16: val_loss did not improve from 164.61786 Restoring model weights from the end of the best epoch: 11.  3183/3183 [==============================] - 93s 29ms/step - loss: 162.1951 - logits_profile_predictions_loss: 160.0196 - logcount_predictions_loss: 0.4106 - val_loss: 164.6560 - val_logits_profile_predictions_loss: 162.9935 - val_logcount_predictions_loss: 0.3137 Epoch 16: early stopping 2023-05-11 16:54:28.913234: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.927651: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.941220: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.954653: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.969093: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.982675: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:28.996213: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.009463: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.034866: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.047521: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.060717: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.073903: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.087584: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.100748: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.139749: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.152541: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.165693: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.178471: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.204449: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.217180: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.229694: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.242734: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.267450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.279519: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.292035: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.316815: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.329871: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.342479: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.354958: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.379283: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.391447: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.404217: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.428890: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.441291: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.478131: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.490767: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.515311: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.527872: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.539715: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.565033: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.577746: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.590309: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.603394: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.628033: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.640158: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.652867: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.676942: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.689649: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.702382: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.714928: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.739799: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.751941: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.763886: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.787542: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.800103: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.813229: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.838463: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.851201: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.863200: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.887525: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.899577: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.911807: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.976243: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:29.988450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.000930: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.025158: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.037542: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.050881: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.063283: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.112419: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.124791: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.137112: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.161353: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.174172: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.186075: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.211191: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.223389: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.235372: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.259946: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.271960: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.284341: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.308842: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.321327: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.333854: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.357277: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.369594: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.381760: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.405947: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.418582: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.430595: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.455376: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.467349: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.479457: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.503686: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.515279: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.527666: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.552457: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.564798: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.577300: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.601067: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.613200: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.625278: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.649216: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.661746: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.673698: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.698246: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.710282: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.722616: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.746642: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.758695: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.773479: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.786243: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.811486: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.824010: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.835528: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.860050: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.884320: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.897640: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.910586: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.922926: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.947762: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.959846: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.971899: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:30.995686: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.008348: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.021260: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.045873: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.058610: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.070606: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.094697: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.106861: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.118826: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.143851: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.155996: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.167844: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.192801: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.204989: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.217177: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.241621: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.254629: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.267434: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.279652: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.305002: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.317001: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.328912: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.353762: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.366349: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.379564: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.392115: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.417632: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.429984: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.442251: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.466567: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.478479: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.490255: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.515699: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.528285: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.540958: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.565102: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.577407: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.589634: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.601913: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.614079: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.638650: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.651172: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.663931: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.688044: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.712781: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.724978: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.737793: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.762751: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.775356: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.787870: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.812196: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.824821: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.836900: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.862260: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.874761: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.887258: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.899736: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.923494: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.935830: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.948702: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.973058: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.986365: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:31.999205: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.011953: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.037087: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.048720: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.061018: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.085518: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.097740: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.110529: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.135327: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.159897: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.172100: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.184442: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.208345: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.220778: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.233512: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.258348: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.271149: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.283331: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.307757: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.319805: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.331894: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.357486: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.369389: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.382665: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.395270: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.407374: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.419408: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.443652: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.456040: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.468920: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.493471: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.505957: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.518291: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.542322: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.554621: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.566962: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.592034: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.604534: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.617228: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.630705: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.655763: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.667810: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.679909: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.704273: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.716129: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.729022: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.753922: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.766625: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.778668: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.802958: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.815291: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.827351: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.877553: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.889995: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.902408: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.926375: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.938931: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.951109: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.976246: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:32.988724: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.001137: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.013926: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.037500: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.050046: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.062628: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.086585: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.099269: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.114070: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.127235: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.139739: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.163621: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.176199: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.188237: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.212710: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.225527: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.238233: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.251272: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.275241: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.287321: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.299840: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.324038: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.337018: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.349418: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.362061: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.374559: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.386495: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.398574: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.423014: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.434997: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.447045: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.472061: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.484412: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.497188: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.521246: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.533458: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.545811: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.570074: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.583113: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.595415: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.608421: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.633069: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.645191: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.657490: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.681391: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.694283: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.706486: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.754723: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.766120: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.777967: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.801758: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.814896: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.827262: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.852192: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.864261: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.876269: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.888283: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.900290: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.912258: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.924666: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.949821: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.962477: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.975195: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:33.999020: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.011296: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.023538: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.047726: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.060418: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.072287: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.097403: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.109471: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.121434: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.146248: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.158334: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.170582: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.195520: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.208033: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.220429: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.243982: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.256277: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.268411: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.293518: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.306315: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.318717: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.331551: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.355642: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.367811: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.380086: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.403706: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.416167: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.428571: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.452466: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.465047: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.476951: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.501636: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.519073: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.533169: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.546108: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.558408: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.583589: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.595614: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.607323: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.631908: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.643951: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.656154: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.681441: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.693916: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.706309: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.729443: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.741137: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.753072: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.777376: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.790816: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.803010: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.815244: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.840024: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.852119: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.864098: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.888712: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.900916: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.913764: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.926286: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.951382: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.963517: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.975231: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:34.999673: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.011754: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.023864: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.048247: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.059992: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.072240: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.096498: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.108526: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.120793: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.145000: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.157768: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.170149: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.182276: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.194614: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.242767: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.254652: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.266615: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.291297: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.303774: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.316549: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.340664: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.353262: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.365342: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.389526: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.401814: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.414080: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.427350: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.452447: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.464422: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.476440: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.500905: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.513058: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.525457: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.550199: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.563165: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.575316: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.599415: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.611918: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.624028: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.649209: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.661558: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.673588: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.686196: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.710314: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.722572: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.734937: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.759127: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.772189: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.784593: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.809184: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.821725: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.833802: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.858344: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.870483: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.882840: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.907909: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.920215: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.932814: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.956217: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.968213: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:35.980370: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.004251: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.016717: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.028658: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.077299: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.089350: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.101535: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.124775: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.137208: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.148992: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.173366: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.185352: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.197430: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.221750: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.233808: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.245934: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.270410: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.282583: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.295096: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.319302: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.331878: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.344279: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.368759: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.381484: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.393749: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.418328: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.430437: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.442697: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.467054: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.479379: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.492558: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.505423: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.530550: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.542693: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.554601: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.579096: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.590967: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.602963: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.627426: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.639200: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.651553: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.675736: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.687804: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.700317: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.724488: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.737143: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.749059: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.761562: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.774302: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.798307: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.810477: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.822791: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.846883: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.859394: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.871907: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.896904: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.909092: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.921210: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.945599: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.957686: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.969768: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:36.993916: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.005841: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.018100: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.041122: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.053566: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.065730: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.089856: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.102319: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.114558: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.138913: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.150807: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.162405: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.186585: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.198563: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.211341: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.235902: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.248429: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.260602: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.284524: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.296433: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.308380: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.333295: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.345789: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.357980: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.370669: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.394752: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.406690: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.418937: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.443030: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.455535: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.468087: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.492650: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.504678: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.516538: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.540635: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.552795: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.565073: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.589814: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.601967: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.614373: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.638400: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.650619: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.662855: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.692453: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.705035: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.729681: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.741782: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.753690: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.777361: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.789154: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.800525: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.825011: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.837231: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.850138: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.862304: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.874623: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.898726: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.910706: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.922824: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.947894: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.960075: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.972501: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:37.996543: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.008583: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.020871: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.044752: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.057502: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.070237: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.095218: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.107067: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.118939: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.143263: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.155164: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.167215: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.192295: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.204697: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.217219: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.241078: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.252754: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.265219: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.289010: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.314444: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.326863: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.339624: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.351842: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.376009: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.388343: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.400263: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.425304: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.437824: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.450289: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.463134: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.487255: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.499400: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.511773: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.536050: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.548924: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.561318: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.585999: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.598112: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.610059: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.622483: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.646587: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.658797: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.671543: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.710466: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.722477: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.734902: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.759604: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.771773: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.784803: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.797497: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.809789: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.822478: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.846767: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.858926: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.872086: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.884923: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.909944: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.921606: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.933357: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.957637: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.969767: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:38.982025: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.006687: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.019151: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.032113: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.056632: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.069502: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.081711: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.106202: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.118456: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.130623: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.156210: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.168604: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.181036: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.193605: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.217164: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.229446: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.241731: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.266163: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.278996: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.291437: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.316411: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.328346: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.339929: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.364347: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.376340: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.388702: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.413804: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.426675: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.439173: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.451386: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.475707: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.487376: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.499780: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.525376: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.549966: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.562346: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.574703: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.599168: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.611203: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.623390: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.647850: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.672755: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.684783: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.696913: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.721312: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.733427: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.745567: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.769736: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.781806: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.794310: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.818124: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.830481: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.842726: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.866509: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.879001: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.891208: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.915753: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.927712: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.939812: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.952228: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.964670: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:39.989231: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.001795: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.013756: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.039028: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.051271: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.063464: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.076362: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.101095: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.114043: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.126597: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.151416: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.163416: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.175260: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.199322: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.211348: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.223432: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.247877: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.272408: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.284700: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.296636: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.320748: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.332882: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.345126: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.370447: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.382611: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.395244: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.406660: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.418399: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.441941: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.453468: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.464931: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.489932: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.502486: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.515159: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.539332: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.551681: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.563663: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.588157: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.601062: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.613124: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.638062: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.650397: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.662533: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.686961: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.699092: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.711705: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.737691: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.750081: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.762717: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.786559: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.799166: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.811638: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.835577: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.848198: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.860656: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.885929: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.898248: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.910361: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.934562: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.946532: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.958831: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.971438: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.983898: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:40.996603: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.009340: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.033104: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.045616: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.057969: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.082301: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.094991: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.106942: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.131557: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.143669: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.155740: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.179848: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.192117: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.205255: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.230068: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.242369: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.254807: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.278588: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.291071: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.303117: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.327407: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.340022: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.352201: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.376790: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.388732: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.400665: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.424677: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.436931: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.450253: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.475305: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.487850: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.500135: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.512207: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.524106: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.548564: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.560908: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.573675: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.598405: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.611417: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.623605: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.647583: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.659920: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.672131: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.697540: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.709958: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.722333: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.734965: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.758864: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.771140: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.783225: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.807740: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.820512: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.832944: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.858176: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.870319: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.882274: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.906293: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.918425: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.930934: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.955682: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.968216: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:41.980417: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.004346: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.016484: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.028391: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.052505: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.065360: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.077485: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.090586: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.115056: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.127037: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.139470: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.163551: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.176764: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.189609: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.201625: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.226426: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.238535: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.250608: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.275105: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.286900: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.299471: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.324150: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.336586: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.348845: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.373308: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.385643: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.397580: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.411257: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.437076: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.449483: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.462342: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.474530: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.498117: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.510626: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.522623: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.547450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.560072: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.572511: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.585543: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.609505: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.621577: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.633797: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.657446: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.670113: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.682423: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.707884: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.720156: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.732119: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.756682: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.768787: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.780927: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.806049: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.818411: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.830906: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.855502: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.867683: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.880123: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.930741: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.943329: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.955880: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.967862: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:42.991822: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.004404: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.016472: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.041759: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.054331: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.067187: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.079581: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.103735: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.116275: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.128177: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.177787: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.190380: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.202612: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.226448: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.238725: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.250762: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.276240: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.288730: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.301532: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.314028: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.338503: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.350594: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.362951: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.387437: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.400191: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.412648: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.424981: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.449754: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.461749: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.473443: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.498098: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.510177: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.523368: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.548038: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.560669: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.590858: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.603443: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.615695: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.639979: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.652916: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.665416: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.678075: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.702693: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.714872: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.727218: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.751359: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.764263: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.776560: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.801450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.813737: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.825787: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.850052: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.862237: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.874344: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.898849: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.911224: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.923926: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.947480: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.959541: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.971704: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:43.995690: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.008319: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.020618: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.045648: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.057765: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.069784: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.093648: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.106089: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.118412: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.143472: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.155785: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.168239: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.192027: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.204675: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.216563: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.241126: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.253766: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.265764: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.290715: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.302747: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.314852: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.339150: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.351280: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.364476: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.377230: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.402478: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.414593: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.426297: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.450803: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.462919: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.475126: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.488211: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.512724: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.525231: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.537201: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.561033: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.573389: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.584994: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.610077: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.622298: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.634623: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.658940: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.671015: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.683341: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.707823: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.719872: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.732321: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.757219: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.769894: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.782146: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.806485: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.818514: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.830728: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.856122: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.868484: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.881116: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.893270: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.917435: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.929706: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.941819: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.966852: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.979471: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:44.991869: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.004681: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.028559: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.040506: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.052687: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.077210: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.117959: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.130898: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.143134: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.155201: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.179328: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.191330: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.203477: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.228803: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.241387: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.254058: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.266027: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.289937: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.301995: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.313943: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.362938: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.375227: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.387491: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.411529: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.424039: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.436001: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.460700: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.472963: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.485812: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.498526: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.510272: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.534127: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.546485: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.558565: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.583675: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.596062: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.608565: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.621629: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.645671: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.657243: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.669858: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.694110: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.706949: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.719095: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.744331: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.756304: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.768257: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.792085: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.804431: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.816848: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.842170: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.854772: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.867157: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.890869: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.903491: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.915446: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.939269: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.952188: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.964469: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:45.988992: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.000911: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.013026: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.037271: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.049252: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.062046: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.086313: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.098888: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.111293: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.134966: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.147208: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.159305: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.184447: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.196709: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.209106: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.221714: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.246005: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.260581: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.273450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.285276: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.309244: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.321397: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.334033: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.357836: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.369191: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.380715: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.392323: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.415466: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.427933: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.440236: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.464237: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.475772: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.487171: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.510813: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.523199: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.535391: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.560477: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.573023: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.585691: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.609514: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.621866: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.634175: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.659126: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.672232: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.685689: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.698805: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.712059: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.736800: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.749430: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.762063: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.787210: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.800295: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.813295: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.826425: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.852398: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.865337: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.878252: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.890806: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.916901: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.929710: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.942627: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.955494: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.981436: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:46.994728: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.007387: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.019903: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.032933: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.058614: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.071778: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.084287: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.096922: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.122431: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.135428: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.148871: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.162391: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.175128: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.222322: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.235178: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.247706: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.272931: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.285800: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.298450: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.311531: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.337070: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.349902: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.362819: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.375846: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.427043: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.439926: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.452558: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.468366: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.481267: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.494482: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.520851: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.533664: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.546331: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.559309: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.571810: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.584685: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.597701: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.622784: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.636009: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.649118: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.662138: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.688285: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.701069: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.713788: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.726574: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.764616: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.777546: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.790491: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.815935: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.829556: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.842312: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.854901: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.879769: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.892476: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.905043: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.917982: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.943426: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.955998: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.968686: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:47.994498: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.007472: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.020024: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.033117: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.058478: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.070930: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.083897: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.096402: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.108814: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.122226: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.135455: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.187621: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.200090: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.212737: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: 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tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.354824: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.368249: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.381073: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.406708: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.419486: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.432285: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:48.445159: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: 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CANCELLED: Operation was cancelled 2023-05-11 16:54:49.387363: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.399991: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.413114: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.439263: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.452908: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.466136: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.479245: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled 2023-05-11 16:54:49.492514: W tensorflow/core/data/root_dataset.cc:200] Optimization loop failed: CANCELLED: Operation was cancelled /oak/stanford/groups/akundaje/atwang/gp_mouse_sc_analyses/.snakemake/conda/7ff3bb54e7a5e3d58a32c95c74143502_/lib/python3.8/site-packages/scipy/spatial/distance.py:1287: RuntimeWarning: invalid value encountered in divide p = p / np.sum(p, axis=axis, keepdims=True) /oak/stanford/groups/akundaje/atwang/gp_mouse_sc_analyses/.snakemake/conda/src/chrombpnet/chrombpnet/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in divide profile_prob = profile / np.sum(profile) /oak/stanford/groups/akundaje/atwang/gp_mouse_sc_analyses/.snakemake/conda/7ff3bb54e7a5e3d58a32c95c74143502_/lib/python3.8/site-packages/scipy/spatial/distance.py:1288: RuntimeWarning: invalid value encountered in divide q = q / np.sum(q, axis=axis, keepdims=True) No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs. 2023-05-11 16:56:43.337725: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 38251 MB memory: -> device: 0, name: NVIDIA A100-SXM4-40GB, pci bus id: 0000:ca:00.0, compute capability: 8.0 save model got the model loading peaks... got split:test for bed regions:(52715, 10) loading nonpeaks... got split:test for bed regions:(52734, 10) 0/1648 100/1648 200/1648 300/1648 400/1648 500/1648 600/1648 700/1648 800/1648 900/1648 1000/1648 1100/1648 1200/1648 1300/1648 1400/1648 1500/1648 1600/1648 got the model Model: "model" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ WARNING:tensorflow:From /oak/stanford/groups/akundaje/atwang/gp_mouse_sc_analyses/.snakemake/conda/7ff3bb54e7a5e3d58a32c95c74143502_/lib/python3.8/site-packages/shap/explainers/deep/deep_tf.py:140: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead. inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'counts' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 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of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 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12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'counts' scores Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Matplotlib is building the font cache; this may take a moment. Matplotlib is building the font cache; this may take a moment. Matplotlib is building the font cache; this may take a moment. Saving 'profile' scores