Hi RARE-X Team, do you mind share with me the logs of 9737593? Thank you! Best, Larry

Created by Larry Le larryle2023
Here you go: ``` 2023-07-28 10:12:12.724704: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-07-28 10:12:12.923253: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory 2023-07-28 10:12:12.923306: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2023-07-28 10:12:13.903048: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory 2023-07-28 10:12:13.903221: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 2023-07-28 10:12:13.903239: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 2023-07-28 10:13:21.736646: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2023-07-28 10:13:21.736701: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303) 2023-07-28 10:13:21.736737: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (c40119ba4efa): /proc/driver/nvidia/version does not exist 2023-07-28 10:13:21.737070: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. /*tsv ['/input/Lungs_Breathing.tsv', '/input/SF_36.tsv', '/input/PEHLS_Epilepsy_Caregiver.tsv', '/input/Neuro_Qol_Self.tsv', '/input/Data_Sharing_Interest.tsv', '/input/Bulbar_Function_Scale.tsv', '/input/Eyes_And_Vision.tsv', '/input/Diagnosis.tsv', '/input/Participant_Role.tsv', '/input/Blood_Bleeding.tsv', '/input/Neuro_Qol_Child.tsv', '/input/Snake_Sleep_Questionnaire.tsv', '/input/Eating_Assessment_Tool_Proxy.tsv', '/input/Pediatric_Eating_Assessment_Tool.tsv', '/input/Muscles.tsv', '/input/Bone_Cartilage_Connective_Tissue.tsv', '/input/Health_And_Development.tsv', '/input/Mothers_Pregnancy.tsv', '/input/Loss_Survey.tsv', '/input/Medical_Encounters.tsv', '/input/Disease_ID.tsv', '/input/Head_Face_Neck.tsv', '/input/Aberrant_Behavior_Checklist_Community_Patient.tsv', '/input/Endocrine_System.tsv', '/input/WHO_DAS_Proxy.tsv', '/input/Digestive_System.tsv', '/input/Med_Diets.tsv', '/input/Consent.tsv', '/input/Growth.tsv', '/input/Heart_Blood_Vessels.tsv', '/input/Skin.tsv', '/input/Oral_Health.tsv', '/input/Race_Ethnicity.tsv', '/input/Quality_of_Life_Inventory_Disability.tsv', '/input/Childrens_Sleep_Habits_Questionnaire.tsv', '/input/Vineland.tsv', '/input/Observer_Reported_Communication_Ability.tsv', '/input/Cancer.tsv', '/input/Immune_System.tsv', '/input/Kidney_Bladder_Genitals.tsv', '/input/WHO_DAS_Self.tsv', '/input/SCOPA_SLEEP.tsv', '/input/Medication_Adherence.tsv', '/input/Quality_Of_Life.tsv', '/input/Behavior.tsv', '/input/Ears_And_Hearing.tsv', '/input/Brain_And_Nervous_System.tsv'] Preprocessing completed! Additional processing completed! Epoch 1/10 1/11 [=>............................] - ETA: 12s - loss: 4.4123 - accuracy: 0.0781 2/11 [====>.........................] - ETA: 0s - loss: 4.1746 - accuracy: 0.0938  3/11 [=======>......................] - ETA: 0s - loss: 3.9791 - accuracy: 0.0677 4/11 [=========>....................] - ETA: 0s - loss: 3.8282 - accuracy: 0.0781 5/11 [============>.................] - ETA: 0s - loss: 3.7530 - accuracy: 0.0781 6/11 [===============>..............] - ETA: 0s - loss: 3.6859 - accuracy: 0.0833 7/11 [==================>...........] - ETA: 0s - loss: 3.7094 - accuracy: 0.0826 8/11 [====================>.........] - ETA: 0s - loss: 3.6687 - accuracy: 0.0781 9/11 [=======================>......] - ETA: 0s - loss: 3.6096 - accuracy: 0.0764 10/11 [==========================>...] - ETA: 0s - loss: 3.5553 - accuracy: 0.0719 11/11 [==============================] - ETA: 0s - loss: 3.5222 - accuracy: 0.0713 11/11 [==============================] - 2s 98ms/step - loss: 3.5222 - accuracy: 0.0713 - val_loss: 6.1950 - val_accuracy: 0.1154 Epoch 2/10 1/11 [=>............................] - ETA: 0s - loss: 2.8116 - accuracy: 0.1562 2/11 [====>.........................] - ETA: 0s - loss: 2.9800 - accuracy: 0.1016 3/11 [=======>......................] - ETA: 0s - loss: 2.9294 - accuracy: 0.0885 4/11 [=========>....................] - ETA: 0s - loss: 2.9244 - accuracy: 0.0859 5/11 [============>.................] - ETA: 0s - loss: 2.8638 - accuracy: 0.1219 6/11 [===============>..............] - ETA: 0s - loss: 2.8540 - accuracy: 0.1172 7/11 [==================>...........] - ETA: 0s - loss: 2.8647 - accuracy: 0.1161 8/11 [====================>.........] - ETA: 0s - loss: 2.8797 - accuracy: 0.1270 9/11 [=======================>......] - ETA: 0s - loss: 2.8793 - accuracy: 0.1233 10/11 [==========================>...] - ETA: 0s - loss: 2.8703 - accuracy: 0.1250 11/11 [==============================] - ETA: 0s - loss: 2.8627 - accuracy: 0.1227 11/11 [==============================] - 1s 74ms/step - loss: 2.8627 - accuracy: 0.1227 - val_loss: 4.5847 - val_accuracy: 0.1838 Epoch 3/10 1/11 [=>............................] - ETA: 0s - loss: 2.5337 - accuracy: 0.2344 2/11 [====>.........................] - ETA: 0s - loss: 2.6334 - accuracy: 0.1797 3/11 [=======>......................] - ETA: 0s - loss: 2.7003 - accuracy: 0.1510 4/11 [=========>....................] - ETA: 0s - loss: 2.6566 - accuracy: 0.1562 5/11 [============>.................] - ETA: 0s - loss: 2.6476 - accuracy: 0.1562 6/11 [===============>..............] - ETA: 0s - loss: 2.7048 - accuracy: 0.1536 7/11 [==================>...........] - ETA: 0s - loss: 2.7060 - accuracy: 0.1540 8/11 [====================>.........] - ETA: 0s - loss: 2.7276 - accuracy: 0.1562 9/11 [=======================>......] - ETA: 0s - loss: 2.7286 - accuracy: 0.1580 10/11 [==========================>...] - ETA: 0s - loss: 2.7421 - accuracy: 0.1500 11/11 [==============================] - ETA: 0s - loss: 2.7350 - accuracy: 0.1498 11/11 [==============================] - 1s 86ms/step - loss: 2.7350 - accuracy: 0.1498 - val_loss: 3.5165 - val_accuracy: 0.1624 Epoch 4/10 1/11 [=>............................] - ETA: 0s - loss: 2.7384 - accuracy: 0.2188 2/11 [====>.........................] - ETA: 0s - loss: 2.7505 - accuracy: 0.1797 3/11 [=======>......................] - ETA: 0s - loss: 2.7404 - accuracy: 0.1771 4/11 [=========>....................] - ETA: 0s - loss: 2.7677 - accuracy: 0.1719 5/11 [============>.................] - ETA: 0s - loss: 2.7405 - accuracy: 0.1656 6/11 [===============>..............] - ETA: 0s - loss: 2.7116 - accuracy: 0.1745 7/11 [==================>...........] - ETA: 0s - loss: 2.6930 - accuracy: 0.1674 8/11 [====================>.........] - ETA: 0s - loss: 2.6740 - accuracy: 0.1621 9/11 [=======================>......] - ETA: 0s - loss: 2.6615 - accuracy: 0.1632 10/11 [==========================>...] - ETA: 0s - loss: 2.6695 - accuracy: 0.1641 11/11 [==============================] - ETA: 0s - loss: 2.6594 - accuracy: 0.1698 11/11 [==============================] - 1s 73ms/step - loss: 2.6594 - accuracy: 0.1698 - val_loss: 4.2128 - val_accuracy: 0.1880 Epoch 5/10 1/11 [=>............................] - ETA: 0s - loss: 3.1437 - accuracy: 0.0938 2/11 [====>.........................] - ETA: 0s - loss: 3.1118 - accuracy: 0.1094 3/11 [=======>......................] - ETA: 0s - loss: 2.9293 - accuracy: 0.1302 4/11 [=========>....................] - ETA: 0s - loss: 2.7682 - accuracy: 0.1602 5/11 [============>.................] - ETA: 0s - loss: 2.7422 - accuracy: 0.1750 6/11 [===============>..............] - ETA: 0s - loss: 2.7414 - accuracy: 0.1667 7/11 [==================>...........] - ETA: 0s - loss: 2.7035 - accuracy: 0.1719 8/11 [====================>.........] - ETA: 0s - loss: 2.7278 - accuracy: 0.1738 9/11 [=======================>......] - ETA: 0s - loss: 2.6992 - accuracy: 0.1823 10/11 [==========================>...] - ETA: 0s - loss: 2.7050 - accuracy: 0.1781 11/11 [==============================] - ETA: 0s - loss: 2.6770 - accuracy: 0.1797 11/11 [==============================] - 1s 82ms/step - loss: 2.6770 - accuracy: 0.1797 - val_loss: 3.5085 - val_accuracy: 0.1966 Epoch 6/10 1/11 [=>............................] - ETA: 0s - loss: 2.6256 - accuracy: 0.2188 2/11 [====>.........................] - ETA: 0s - loss: 2.5138 - accuracy: 0.2500 3/11 [=======>......................] - ETA: 0s - loss: 2.5501 - accuracy: 0.2500 4/11 [=========>....................] - ETA: 0s - loss: 2.4984 - accuracy: 0.2461 5/11 [============>.................] - ETA: 0s - loss: 2.5150 - accuracy: 0.2281 6/11 [===============>..............] - ETA: 0s - loss: 2.5172 - accuracy: 0.2266 7/11 [==================>...........] - ETA: 0s - loss: 2.5478 - accuracy: 0.2165 8/11 [====================>.........] - ETA: 0s - loss: 2.5474 - accuracy: 0.2227 9/11 [=======================>......] - ETA: 0s - loss: 2.5201 - accuracy: 0.2170 10/11 [==========================>...] - ETA: 0s - loss: 2.5303 - accuracy: 0.2172 11/11 [==============================] - ETA: 0s - loss: 2.5259 - accuracy: 0.2211 11/11 [==============================] - 1s 84ms/step - loss: 2.5259 - accuracy: 0.2211 - val_loss: 3.8157 - val_accuracy: 0.2479 Epoch 7/10 1/11 [=>............................] - ETA: 0s - loss: 2.4237 - accuracy: 0.2031 2/11 [====>.........................] - ETA: 0s - loss: 2.4224 - accuracy: 0.2031 3/11 [=======>......................] - ETA: 0s - loss: 2.3892 - accuracy: 0.2292 4/11 [=========>....................] - ETA: 0s - loss: 2.4333 - accuracy: 0.2188 5/11 [============>.................] - ETA: 0s - loss: 2.4104 - accuracy: 0.2375 6/11 [===============>..............] - ETA: 0s - loss: 2.4448 - accuracy: 0.2422 7/11 [==================>...........] - ETA: 0s - loss: 2.4314 - accuracy: 0.2500 8/11 [====================>.........] - ETA: 0s - loss: 2.4284 - accuracy: 0.2480 9/11 [=======================>......] - ETA: 0s - loss: 2.4513 - accuracy: 0.2413 10/11 [==========================>...] - ETA: 0s - loss: 2.4279 - accuracy: 0.2484 11/11 [==============================] - ETA: 0s - loss: 2.4324 - accuracy: 0.2411 11/11 [==============================] - 1s 74ms/step - loss: 2.4324 - accuracy: 0.2411 - val_loss: 3.7266 - val_accuracy: 0.1966 Epoch 8/10 1/11 [=>............................] - ETA: 0s - loss: 2.4931 - accuracy: 0.2344 2/11 [====>.........................] - ETA: 0s - loss: 2.5258 - accuracy: 0.2188 3/11 [=======>......................] - ETA: 0s - loss: 2.5090 - accuracy: 0.2396 4/11 [=========>....................] - ETA: 0s - loss: 2.4656 - accuracy: 0.2383 5/11 [============>.................] - ETA: 0s - loss: 2.4541 - accuracy: 0.2375 6/11 [===============>..............] - ETA: 0s - loss: 2.4968 - accuracy: 0.2448 7/11 [==================>...........] - ETA: 0s - loss: 2.4569 - accuracy: 0.2545 8/11 [====================>.........] - ETA: 0s - loss: 2.4330 - accuracy: 0.2520 9/11 [=======================>......] - ETA: 0s - loss: 2.4286 - accuracy: 0.2535 10/11 [==========================>...] - ETA: 0s - loss: 2.4056 - accuracy: 0.2672 11/11 [==============================] - ETA: 0s - loss: 2.3899 - accuracy: 0.2653 11/11 [==============================] - 1s 78ms/step - loss: 2.3899 - accuracy: 0.2653 - val_loss: 3.6310 - val_accuracy: 0.2094 Epoch 9/10 1/11 [=>............................] - ETA: 0s - loss: 2.0763 - accuracy: 0.2969 2/11 [====>.........................] - ETA: 0s - loss: 2.1895 - accuracy: 0.3203 3/11 [=======>......................] - ETA: 0s - loss: 2.2393 - accuracy: 0.2708 4/11 [=========>....................] - ETA: 0s - loss: 2.2637 - accuracy: 0.2891 5/11 [============>.................] - ETA: 0s - loss: 2.2653 - accuracy: 0.2906 6/11 [===============>..............] - ETA: 0s - loss: 2.2700 - accuracy: 0.2839 7/11 [==================>...........] - ETA: 0s - loss: 2.3197 - accuracy: 0.2746 8/11 [====================>.........] - ETA: 0s - loss: 2.3223 - accuracy: 0.2812 9/11 [=======================>......] - ETA: 0s - loss: 2.3149 - accuracy: 0.2830 10/11 [==========================>...] - ETA: 0s - loss: 2.3254 - accuracy: 0.2734 11/11 [==============================] - ETA: 0s - loss: 2.3036 - accuracy: 0.2796 11/11 [==============================] - 1s 86ms/step - loss: 2.3036 - accuracy: 0.2796 - val_loss: 4.7221 - val_accuracy: 0.2436 Epoch 10/10 1/11 [=>............................] - ETA: 0s - loss: 2.2075 - accuracy: 0.3906 2/11 [====>.........................] - ETA: 0s - loss: 2.2375 - accuracy: 0.3281 3/11 [=======>......................] - ETA: 0s - loss: 2.1495 - accuracy: 0.3177 4/11 [=========>....................] - ETA: 0s - loss: 2.1706 - accuracy: 0.3164 5/11 [============>.................] - ETA: 0s - loss: 2.1710 - accuracy: 0.3063 6/11 [===============>..............] - ETA: 0s - loss: 2.1809 - accuracy: 0.3125 7/11 [==================>...........] - ETA: 0s - loss: 2.1841 - accuracy: 0.3080 8/11 [====================>.........] - ETA: 0s - loss: 2.1769 - accuracy: 0.3086 9/11 [=======================>......] - ETA: 0s - loss: 2.1589 - accuracy: 0.3160 10/11 [==========================>...] - ETA: 0s - loss: 2.1376 - accuracy: 0.3266 11/11 [==============================] - ETA: 0s - loss: 2.1364 - accuracy: 0.3252 11/11 [==============================] - 1s 78ms/step - loss: 2.1364 - accuracy: 0.3252 - val_loss: 6.0696 - val_accuracy: 0.2692 Model building completed! /*tsv ['/test/Lungs_Breathing.tsv', '/test/SF_36.tsv', '/test/PEHLS_Epilepsy_Caregiver.tsv', '/test/Neuro_Qol_Self.tsv', '/test/Data_Sharing_Interest.tsv', '/test/Bulbar_Function_Scale.tsv', '/test/Eyes_And_Vision.tsv', '/test/Diagnosis.tsv', '/test/Participant_Role.tsv', '/test/Blood_Bleeding.tsv', '/test/Neuro_Qol_Child.tsv', '/test/Snake_Sleep_Questionnaire.tsv', '/test/Eating_Assessment_Tool_Proxy.tsv', '/test/Pediatric_Eating_Assessment_Tool.tsv', '/test/Muscles.tsv', '/test/Bone_Cartilage_Connective_Tissue.tsv', '/test/Health_And_Development.tsv', '/test/Mothers_Pregnancy.tsv', '/test/Loss_Survey.tsv', '/test/Medical_Encounters.tsv', '/test/Head_Face_Neck.tsv', '/test/Aberrant_Behavior_Checklist_Community_Patient.tsv', '/test/Endocrine_System.tsv', '/test/WHO_DAS_Proxy.tsv', '/test/Digestive_System.tsv', '/test/Med_Diets.tsv', '/test/Consent.tsv', '/test/Growth.tsv', '/test/Heart_Blood_Vessels.tsv', '/test/Skin.tsv', '/test/Oral_Health.tsv', '/test/Race_Ethnicity.tsv', '/test/Quality_of_Life_Inventory_Disability.tsv', '/test/Childrens_Sleep_Habits_Questionnaire.tsv', '/test/Vineland.tsv', '/test/Observer_Reported_Communication_Ability.tsv', '/test/Cancer.tsv', '/test/Immune_System.tsv', '/test/Kidney_Bladder_Genitals.tsv', '/test/WHO_DAS_Self.tsv', '/test/SCOPA_SLEEP.tsv', '/test/Medication_Adherence.tsv', '/test/Quality_Of_Life.tsv', '/test/Behavior.tsv', '/test/Ears_And_Hearing.tsv', '/test/Brain_And_Nervous_System.tsv'] Traceback (most recent call last): File "/usr/local/bin/base_model.py", line 252, in typer.run(main) File "/usr/local/bin/base_model.py", line 246, in main training_features_TEST, testing_features_TEST, training_target_TEST, testing_target_TEST = preprocessing(test_dir, if_test=True) File "/usr/local/bin/base_model.py", line 140, in preprocessing df_flat = XX.groupby('Participant_ID').mean().reset_index().merge(gen['Disease_ID.tsv'].loc[gen['Disease_ID.tsv']['Disease_Name'].isin(select_diseases),:]) KeyError: 'Disease_ID.tsv' ```

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