python /home/admin/mtr/script_for_cron.py -j python_test3 -m 12 -a ' --short_python3 -v ' -s python_test3 -M 0 -S 0 -U 100,100,120 import MySQLdb succeeded Import error (python version) python version = 3 warning , we can't find thcl infos in json_data warning , we can't find pdt infos in json_data list_job_run_as_list : ['mask_detection', 'datou', 'CacheModelData_queries', 'CachePhotoData_queries', 'test_fork', 'prepare_maskdata', 'portfolio_queries', 'sla_mensuel'] python version used : 3 liste_fichiers : [('tests/mask_test', True, 'Test mask-detection ', 'mask_detection'), ('tests/datou_test', True, 'Datou All Test', 'datou', 'all'), ('mtr/database_queries/CacheModelData_queries', True, 'Test Cache Model Data', 'CacheModelData_queries'), ('tests/cache_photo_data_test', True, 'Test local_cache_photo ', 'CachePhotoData_queries'), ('mtr/mask_rcnn/prepare_maskdata', True, 'test prepare mask data', 'prepare_maskdata', 'all'), ('mtr/database_queries/portfolio_queries', True, 'test portfolio queries', 'portfolio_queries'), ('prod/memo/memo', True, 'SLA Mensuel', 'sla_mensuel', 'all')] #&_# BEGIN OF TEST : tests/mask_test #&_# /home/admin/workarea/git/Velours/python/tests/mask_test.py Test mask-detection python version used : 3 ############################### TEST memory used ################################ free memory at begining : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2924 run mask_detect Inside batchDatouExec : verbose : False # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.5746111869812012 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : False number of steps : 1 step1:mask_detect Wed Feb 12 00:35:30 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 2924 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 /home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp 2025-02-12 00:35:34.871776: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-02-12 00:35:34.907427: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-02-12 00:35:34.909473: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fb1ec000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:35:34.909529: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-02-12 00:35:34.914874: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-02-12 00:35:35.216280: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3fc96ee0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:35:35.216337: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-02-12 00:35:35.217374: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:35.219372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:35.252228: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:35.271326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:35.275491: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:35.308667: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:35.314046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:35.367789: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:35.369551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:35.370061: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:35.371553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:35:35.371584: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:35:35.371599: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:35:35.373428: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2472 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl454 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3473 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 2025-02-12 00:35:36.303811: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:36.303968: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:36.304005: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:36.304043: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:36.304082: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:36.304121: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:36.304185: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:36.304219: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:36.305492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:36.306996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:36.307120: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:36.307157: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:36.307188: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:36.307216: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:36.307243: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:36.307267: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:36.307288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:36.308490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:36.308550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:35:36.308568: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:35:36.308582: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:35:36.309900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2472 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : mask_coco_origin model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-02-12 00:35:45.853891: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:46.237254: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:48.054239: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.054335: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.061101: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.061129: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.110546: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.110596: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.152579: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.152608: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.204144: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.204476: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:35:48.207439: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.42G (1520304128 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.208012: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.27G (1368273664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.530108: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2025-02-12 00:35:48.573599: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.574692: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.595303: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.595950: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.596581: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.597187: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.597792: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.598392: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.612750: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.613372: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.645675: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.645723: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2025-02-12 00:35:48.646346: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.647068: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.654824: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.655633: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.663736: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.664349: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.685241: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.686508: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.687896: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.689212: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.693496: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.694211: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.694905: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.695566: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.697206: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.706845: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.707517: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.718077: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.718744: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.719476: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.720145: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.720822: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:35:48.721484: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/mask_coco_origin /data/models_weight/mask_coco_origin/mask_model.h5 size_local : 257557808 size in s3 : 257557808 create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17 mask_model.h5 already exist and didn't need to update list_images length : 1 NEW PHOTO Processing 1 images image shape: (480, 640, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 89) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 Detection mask done ! Trying to reset tf kernel 828916 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1731 tf kernel not reseted sub process len(results) : 1 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 1 len(list_Values) 0 process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2924 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl454 Catched exception ! Connect or reconnect ! thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3473 ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] time for calcul the mask position with numpy : 0.0005321502685546875 nb_pixel_total : 15552 time to create 1 rle with old method : 0.01758432388305664 length of segment : 256 time for calcul the mask position with numpy : 0.0026769638061523438 nb_pixel_total : 145329 time to create 1 rle with old method : 0.1578655242919922 length of segment : 371 time for calcul the mask position with numpy : 0.000331878662109375 nb_pixel_total : 14255 time to create 1 rle with old method : 0.016876697540283203 length of segment : 151 time for calcul the mask position with numpy : 0.00012183189392089844 nb_pixel_total : 5614 time to create 1 rle with old method : 0.007052421569824219 length of segment : 48 time for calcul the mask position with numpy : 5.555152893066406e-05 nb_pixel_total : 1824 time to create 1 rle with old method : 0.0022177696228027344 length of segment : 39 time spent for convertir_results : 1.040170431137085 time spend for datou_step_exec : 22.296396493911743 time spend to save output : 6.842613220214844e-05 total time spend for step 1 : 22.296464920043945 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 3264 chid ids of type : 445 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.012587547302246094 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'957285035': [[(957285035, 492601069, 445, 0, 186, 22, 282, 0.9954848, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (126, 30, 28), (10, 31, 1), (120, 31, 35), (8, 32, 13), (27, 32, 3), (115, 32, 41), (7, 33, 52), (109, 33, 48), (6, 34, 70), (103, 34, 55), (5, 35, 154), (4, 36, 155), (3, 37, 156), (3, 38, 156), (3, 39, 156), (2, 40, 157), (2, 41, 157), (2, 42, 157), (2, 43, 157), (2, 44, 157), (2, 45, 157), (1, 46, 158), (1, 47, 158), (1, 48, 158), (1, 49, 157), (1, 50, 157), (1, 51, 156), (1, 52, 156), (1, 53, 155), (1, 54, 154), (1, 55, 152), (1, 56, 149), (1, 57, 145), (1, 58, 141), (1, 59, 136), (1, 60, 133), (1, 61, 130), (1, 62, 127), (1, 63, 126), (1, 64, 124), (1, 65, 123), (1, 66, 121), (1, 67, 120), (1, 68, 118), (1, 69, 117), (1, 70, 116), (1, 71, 115), (1, 72, 114), (1, 73, 113), (1, 74, 112), (1, 75, 111), (1, 76, 110), (1, 77, 108), (1, 78, 108), (1, 79, 107), (1, 80, 106), (1, 81, 105), (2, 82, 104), (2, 83, 103), (2, 84, 103), (2, 85, 102), (2, 86, 102), (2, 87, 101), (2, 88, 100), (2, 89, 99), (2, 90, 99), (2, 91, 98), (2, 92, 97), (2, 93, 96), (2, 94, 95), (2, 95, 93), (2, 96, 91), (2, 97, 90), (2, 98, 89), (2, 99, 87), (2, 100, 86), (2, 101, 86), (2, 102, 85), (2, 103, 84), (2, 104, 83), (2, 105, 83), (2, 106, 82), (2, 107, 81), (2, 108, 80), (2, 109, 80), (2, 110, 79), (2, 111, 78), (2, 112, 77), (2, 113, 76), (1, 114, 76), (1, 115, 75), (1, 116, 74), (1, 117, 73), (1, 118, 72), (1, 119, 71), (1, 120, 71), (1, 121, 70), (1, 122, 69), (1, 123, 69), (1, 124, 68), (1, 125, 68), (1, 126, 67), (1, 127, 67), (1, 128, 66), (1, 129, 66), (1, 130, 66), (1, 131, 65), (1, 132, 65), (1, 133, 64), (1, 134, 63), (1, 135, 63), (1, 136, 62), (1, 137, 61), (1, 138, 60), (1, 139, 60), (1, 140, 59), (1, 141, 58), (1, 142, 58), (1, 143, 57), (1, 144, 56), (1, 145, 56), (1, 146, 55), (1, 147, 54), (1, 148, 54), (1, 149, 53), (1, 150, 52), (1, 151, 52), (1, 152, 51), (1, 153, 50), (1, 154, 49), (1, 155, 48), (1, 156, 47), (1, 157, 46), (1, 158, 45), (1, 159, 45), (1, 160, 44), (1, 161, 43), (1, 162, 42), (1, 163, 41), (1, 164, 41), (1, 165, 40), (1, 166, 40), (1, 167, 39), (1, 168, 38), (1, 169, 37), (1, 170, 36), (1, 171, 35), (1, 172, 34), (1, 173, 34), (1, 174, 33), (1, 175, 33), (1, 176, 32), (1, 177, 32), (1, 178, 32), (1, 179, 32), (1, 180, 31), (1, 181, 31), (1, 182, 31), (1, 183, 30), (1, 184, 30), (1, 185, 30), (1, 186, 29), (1, 187, 29), (1, 188, 29), (1, 189, 28), (1, 190, 28), (1, 191, 27), (1, 192, 27), (1, 193, 26), (1, 194, 26), (1, 195, 26), (1, 196, 26), (1, 197, 26), (1, 198, 26), (1, 199, 26), (1, 200, 25), (1, 201, 25), (1, 202, 25), (1, 203, 25), (1, 204, 25), (1, 205, 25), (1, 206, 25), (1, 207, 25), (1, 208, 25), (1, 209, 25), (1, 210, 25), (1, 211, 25), (1, 212, 25), (1, 213, 25), (1, 214, 25), (1, 215, 25), (1, 216, 25), (1, 217, 25), (1, 218, 25), (1, 219, 25), (1, 220, 24), (1, 221, 24), (1, 222, 24), (1, 223, 24), (1, 224, 24), (1, 225, 24), (1, 226, 25), (1, 227, 25), (1, 228, 25), (2, 229, 24), (2, 230, 24), (2, 231, 24), (2, 232, 23), (2, 233, 23), (2, 234, 23), (2, 235, 23), (2, 236, 23), (2, 237, 23), (2, 238, 23), (2, 239, 23), (2, 240, 23), (2, 241, 23), (2, 242, 23), (2, 243, 23), (2, 244, 23), (2, 245, 23), (2, 246, 23), (2, 247, 23), (2, 248, 23), (2, 249, 24), (2, 250, 24), (2, 251, 23), 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(474, 33, 36), (475, 34, 33), (475, 35, 32), (476, 36, 30), (476, 37, 29), (477, 38, 26), (478, 39, 23), (479, 40, 20), (480, 41, 17), (488, 42, 5)], ['492,42,488,42,487,41,480,41,476,37,475,34,473,32,469,25,465,21,461,20,457,16,457,10,463,10,464,9,466,9,470,12,474,13,476,11,480,10,482,8,500,8,501,9,524,9,525,10,528,10,532,12,539,12,542,15,545,15,545,19,535,20,534,21,529,21,525,23,523,23,513,30,512,30,504,37,496,41,493,41'])], 'temp/1739316930_828525_957285035_a42482e51c93c8025d243dd179aee85b.jpg']} free memory after detection : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2924 ############################### TEST detect object ################################ run mask_detect Inside batchDatouExec : verbose : False # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.15542960166931152 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : False number of steps : 1 step1:mask_detect Wed Feb 12 00:35:55 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 2924 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-02-12 00:35:58.424557: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-02-12 00:35:58.451321: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-02-12 00:35:58.453680: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fb1ec000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:35:58.453719: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-02-12 00:35:58.462587: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-02-12 00:35:58.728885: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x40bafb60 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:35:58.728945: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-02-12 00:35:58.729854: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:58.730348: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:58.734156: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:58.751953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:58.752640: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:58.756804: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:58.759240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:58.766163: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:58.767377: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:58.767479: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:58.768098: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:35:58.768118: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:35:58.768129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:35:58.769077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2472 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-02-12 00:35:58.853869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:58.854006: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:58.854032: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:58.854055: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:58.854075: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:58.854095: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:58.854115: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:58.854136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:58.855228: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:58.856324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:35:58.856369: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:35:58.856387: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:35:58.856403: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:35:58.856419: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:35:58.856435: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:35:58.856452: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:35:58.856468: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:35:58.857279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:35:58.857316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:35:58.857325: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:35:58.857333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:35:58.858195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2472 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : mask_coco_origin model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-02-12 00:36:07.737203: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:36:07.898164: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:36:09.453549: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.453623: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.460186: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.460253: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.516251: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.516349: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.559534: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.559570: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.611295: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.611332: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-02-12 00:36:09.613827: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.42G (1520304128 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.614343: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.27G (1368273664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.614850: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.15G (1231446272 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.614871: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2025-02-12 00:36:09.632187: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.633185: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.643033: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.643866: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.649227: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.649829: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.663475: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.664048: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.665844: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.666433: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.673820: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.674433: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.676570: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.677130: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.684815: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.685479: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.687471: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.688090: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.722513: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.723235: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.723817: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.724393: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.728283: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.728834: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.745524: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.746118: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.746643: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.747225: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.759659: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.760174: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.760665: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.761158: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.765543: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.766082: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.770707: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.771236: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.783297: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.783831: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.787905: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.788432: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.788950: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.789435: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.810361: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.810912: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.811423: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.811908: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.812394: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.812878: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.827378: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.827908: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.851521: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.851563: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2025-02-12 00:36:09.852098: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.852590: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.860338: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.860852: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.868747: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.869264: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.884275: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.885025: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.885650: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.886171: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.891131: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.892277: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.893246: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.893988: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.895528: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.905650: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.906276: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.917231: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.917847: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.918432: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.919061: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.919629: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-02-12 00:36:09.920166: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.92G (2057175040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/mask_coco_origin /data/models_weight/mask_coco_origin/mask_model.h5 size_local : 257557808 size in s3 : 257557808 create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17 mask_model.h5 already exist and didn't need to update list_images length : 1 NEW PHOTO Processing 1 images image shape: (720, 1280, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 89) min: 0.00000 max: 1280.00000 nb d'objets trouves : 4 Detection mask done ! Trying to reset tf kernel 830157 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 932 tf kernel not reseted sub process len(results) : 1 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 1 len(list_Values) 0 process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2125 list_Values should be empty [] ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] time for calcul the mask position with numpy : 0.0005948543548583984 nb_pixel_total : 16902 time to create 1 rle with old method : 0.021175146102905273 length of segment : 107 time for calcul the mask position with numpy : 0.3932323455810547 nb_pixel_total : 480746 time to create 1 rle with new method : 0.030922889709472656 length of segment : 632 time for calcul the mask position with numpy : 0.0004858970642089844 nb_pixel_total : 36638 time to create 1 rle with old method : 0.04438042640686035 length of segment : 133 time for calcul the mask position with numpy : 0.00012445449829101562 nb_pixel_total : 4793 time to create 1 rle with old method : 0.005816221237182617 length of segment : 51 time spent for convertir_results : 0.696277379989624 time spend for datou_step_exec : 18.300227403640747 time spend to save output : 7.796287536621094e-05 total time spend for step 1 : 18.300305366516113 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Catched exception ! Connect or reconnect ! Number saved : None batch 1 Loaded 397 chid ids of type : 445 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.015882492065429688 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'917855882': [[(917855882, 492601069, 445, 1092, 1280, 0, 108, 0.9988362, [(1205, 1, 58), (1165, 2, 105), (1159, 3, 113), (1149, 4, 124), (1113, 5, 161), (1100, 6, 174), (1097, 7, 177), (1095, 8, 179), (1095, 9, 179), (1095, 10, 179), (1095, 11, 179), (1095, 12, 179), (1095, 13, 179), (1095, 14, 178), (1095, 15, 178), (1095, 16, 178), (1095, 17, 178), (1095, 18, 177), (1095, 19, 177), (1095, 20, 177), (1095, 21, 177), (1095, 22, 177), (1095, 23, 178), (1095, 24, 178), (1095, 25, 178), (1095, 26, 179), (1095, 27, 179), (1095, 28, 180), (1095, 29, 181), (1095, 30, 182), (1095, 31, 183), (1095, 32, 183), (1095, 33, 184), (1095, 34, 184), (1096, 35, 183), (1096, 36, 183), (1096, 37, 184), (1097, 38, 183), (1097, 39, 183), (1097, 40, 183), (1098, 41, 182), (1098, 42, 182), (1098, 43, 182), (1099, 44, 181), (1099, 45, 181), (1099, 46, 181), (1100, 47, 180), (1100, 48, 180), (1101, 49, 179), (1101, 50, 179), (1102, 51, 178), (1102, 52, 178), (1103, 53, 177), (1103, 54, 177), (1104, 55, 176), (1104, 56, 176), (1104, 57, 176), (1104, 58, 176), (1105, 59, 175), (1105, 60, 175), (1105, 61, 175), (1105, 62, 175), (1105, 63, 175), (1106, 64, 174), (1106, 65, 174), (1106, 66, 174), (1106, 67, 174), (1106, 68, 174), (1106, 69, 174), (1106, 70, 174), (1106, 71, 174), (1106, 72, 174), (1106, 73, 174), (1107, 74, 173), (1107, 75, 173), (1107, 76, 173), (1107, 77, 173), (1107, 78, 173), (1107, 79, 173), (1108, 80, 172), (1108, 81, 172), (1109, 82, 171), (1110, 83, 170), (1110, 84, 170), (1111, 85, 169), (1112, 86, 168), (1113, 87, 166), (1114, 88, 165), (1115, 89, 164), (1117, 90, 162), (1120, 91, 159), (1138, 92, 141), (1146, 93, 133), (1154, 94, 125), (1167, 95, 112), (1177, 96, 102), (1183, 97, 95), (1185, 98, 93), (1187, 99, 90), (1188, 100, 55), (1264, 100, 12), (1190, 101, 50), (1191, 102, 46), (1194, 103, 40), (1197, 104, 34), (1202, 105, 25), (1207, 106, 16)], ['1222,106,1207,106,1206,105,1197,104,1191,102,1182,96,1176,95,1167,95,1166,94,1154,94,1153,93,1146,93,1145,92,1137,91,1120,91,1115,89,1110,84,1107,79,1106,73,1106,64,1104,55,1099,46,1095,34,1095,8,1100,6,1112,6,1113,5,1148,5,1149,4,1158,4,1165,2,1204,2,1205,1,1262,1,1269,2,1273,5,1273,13,1271,18,1271,22,1273,27,1277,31,1279,37,1279,86,1278,87,1278,96,1275,100,1264,100,1263,99,1243,99,1230,104']), (917855882, 492601069, 445, 52, 1128, 16, 668, 0.99774593, [(710, 22, 23), (925, 22, 47), (608, 23, 146), (894, 23, 103), (598, 24, 234), (850, 24, 158), (590, 25, 427), (582, 26, 444), (575, 27, 458), (569, 28, 466), (565, 29, 472), (560, 30, 480), (556, 31, 486), (550, 32, 495), (544, 33, 503), (538, 34, 512), (532, 35, 520), (527, 36, 527), (523, 37, 534), (518, 38, 541), (514, 39, 548), (510, 40, 554), (506, 41, 561), (503, 42, 566), (499, 43, 572), (496, 44, 577), (493, 45, 582), (491, 46, 585), (488, 47, 590), (487, 48, 592), (485, 49, 595), (483, 50, 598), (482, 51, 600), (481, 52, 602), (480, 53, 603), (479, 54, 605), (478, 55, 606), (476, 56, 608), (475, 57, 610), (474, 58, 611), (473, 59, 613), (472, 60, 614), (470, 61, 616), (469, 62, 618), (468, 63, 619), (466, 64, 621), (465, 65, 623), (464, 66, 624), (462, 67, 626), (461, 68, 628), (459, 69, 630), (458, 70, 631), (456, 71, 633), (455, 72, 635), (453, 73, 637), (452, 74, 638), (451, 75, 639), (449, 76, 641), (448, 77, 642), (447, 78, 643), (446, 79, 644), (445, 80, 645), (444, 81, 646), (442, 82, 648), (441, 83, 649), (440, 84, 650), (439, 85, 651), (438, 86, 652), (437, 87, 653), (436, 88, 654), (435, 89, 655), (434, 90, 656), (433, 91, 657), (432, 92, 658), (431, 93, 659), (430, 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['449,46,443,46,442,45,426,45,424,41,424,37,423,36,422,31,420,28,420,25,419,24,419,21,418,20,418,17,417,15,409,6,402,3,402,1,413,1,414,0,420,0,421,1,440,1,441,0,500,0,501,1,507,1,508,0,535,0,536,1,543,1,546,2,546,4,542,8,530,18,527,19,525,21,522,22,520,24,512,28,508,33,505,34,502,37,494,41,492,41,490,43,488,43,484,45,473,45,472,46'])], 'temp/1739316955_828525_917855882_da0fa7b7e6b5b551fe26c0ba8713276d.jpg']} ############################### TEST POLYGON ################################ Inside batchDatouExec : verbose : False # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.20230555534362793 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : False number of steps : 1 step1:mask_detect Wed Feb 12 00:36:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 1995 wait 20 seconds l 3637 free memory gpu now : 1995 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-02-12 00:36:38.490445: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-02-12 00:36:38.519176: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-02-12 00:36:38.521703: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fb1ec000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:36:38.521771: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-02-12 00:36:38.526580: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-02-12 00:36:38.701996: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x40bf4fe0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-02-12 00:36:38.702076: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-02-12 00:36:38.703139: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:36:38.703629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:36:38.706859: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:36:38.709884: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:36:38.710380: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:36:38.713161: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:36:38.714248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:36:38.721131: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:36:38.722828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:36:38.722974: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:36:38.723613: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:36:38.723633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:36:38.723644: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:36:38.724729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 116 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-02-12 00:36:38.819397: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:36:38.819516: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:36:38.819544: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:36:38.819570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:36:38.819593: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:36:38.819616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:36:38.819638: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:36:38.819661: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:36:38.820560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:36:38.821611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-12 00:36:38.821679: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 00:36:38.821706: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 00:36:38.821726: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 00:36:38.821755: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 00:36:38.821798: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 00:36:38.821827: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 00:36:38.821850: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 00:36:38.822737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 00:36:38.822778: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 00:36:38.822790: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 00:36:38.822800: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 00:36:38.823849: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 116 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) 2025-02-12 00:36:50.721141: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25MiB (rounded to 2359296) Current allocation summary follows. 2025-02-12 00:36:50.721207: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc 2025-02-12 00:36:50.721223: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): Total Chunks: 60, Chunks in use: 60. 15.0KiB allocated for chunks. 15.0KiB in use in bin. 8.8KiB client-requested in use in bin. 2025-02-12 00:36:50.721236: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): Total Chunks: 40, Chunks in use: 40. 20.0KiB allocated for chunks. 20.0KiB in use in bin. 20.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721248: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): Total Chunks: 246, Chunks in use: 246. 246.2KiB allocated for chunks. 246.2KiB in use in bin. 246.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721260: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): Total Chunks: 25, Chunks in use: 25. 50.0KiB allocated for chunks. 50.0KiB in use in bin. 50.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721271: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): Total Chunks: 115, Chunks in use: 115. 465.5KiB allocated for chunks. 465.5KiB in use in bin. 460.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721283: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): Total Chunks: 1, Chunks in use: 0. 14.8KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721294: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721306: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin. 2025-02-12 00:36:50.721317: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): Total Chunks: 6, Chunks in use: 6. 384.0KiB allocated for chunks. 384.0KiB in use in bin. 384.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721328: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin. 2025-02-12 00:36:50.721339: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): Total Chunks: 7, Chunks in use: 7. 1.91MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin. 2025-02-12 00:36:50.721350: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): Total Chunks: 8, Chunks in use: 6. 4.95MiB allocated for chunks. 3.44MiB in use in bin. 3.25MiB client-requested in use in bin. 2025-02-12 00:36:50.721374: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): Total Chunks: 46, Chunks in use: 44. 51.88MiB allocated for chunks. 49.62MiB in use in bin. 44.00MiB client-requested in use in bin. 2025-02-12 00:36:50.721386: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): Total Chunks: 23, Chunks in use: 23. 52.00MiB allocated for chunks. 52.00MiB in use in bin. 51.50MiB client-requested in use in bin. 2025-02-12 00:36:50.721397: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): Total Chunks: 1, Chunks in use: 1. 4.38MiB allocated for chunks. 4.38MiB in use in bin. 2.25MiB client-requested in use in bin. 2025-02-12 00:36:50.721407: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721416: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721426: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721436: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (67108864): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721445: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (134217728): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721455: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (268435456): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin. 2025-02-12 00:36:50.721465: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 2025-02-12 00:36:50.721474: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 56492032 2025-02-12 00:36:50.721489: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e000000 of size 2359296 next 370 2025-02-12 00:36:50.721497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e240000 of size 1048576 next 394 2025-02-12 00:36:50.721506: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7fb00e340000 of size 1310720 next 388 2025-02-12 00:36:50.721515: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e480000 of size 2359296 next 387 2025-02-12 00:36:50.721523: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e6c0000 of size 1048576 next 412 2025-02-12 00:36:50.721532: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e7c0000 of size 1310720 next 406 2025-02-12 00:36:50.721541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00e900000 of size 2359296 next 405 2025-02-12 00:36:50.721549: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00eb40000 of size 1048576 next 430 2025-02-12 00:36:50.721557: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00ec40000 of size 1310720 next 424 2025-02-12 00:36:50.721566: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00ed80000 of size 2359296 next 423 2025-02-12 00:36:50.721574: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00efc0000 of size 1048576 next 447 2025-02-12 00:36:50.721582: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f0c0000 of size 1310720 next 441 2025-02-12 00:36:50.721591: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f200000 of size 2359296 next 440 2025-02-12 00:36:50.721599: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f440000 of size 1048576 next 465 2025-02-12 00:36:50.721615: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f540000 of size 1310720 next 459 2025-02-12 00:36:50.721623: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f680000 of size 2359296 next 458 2025-02-12 00:36:50.721632: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f8c0000 of size 1048576 next 483 2025-02-12 00:36:50.721640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00f9c0000 of size 1310720 next 477 2025-02-12 00:36:50.721648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00fb00000 of size 2359296 next 476 2025-02-12 00:36:50.721657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00fd40000 of size 1048576 next 501 2025-02-12 00:36:50.721665: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00fe40000 of size 1310720 next 495 2025-02-12 00:36:50.721673: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb00ff80000 of size 2359296 next 494 2025-02-12 00:36:50.721682: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0101c0000 of size 1048576 next 519 2025-02-12 00:36:50.721690: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0102c0000 of size 1310720 next 513 2025-02-12 00:36:50.721699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010400000 of size 2359296 next 512 2025-02-12 00:36:50.721707: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010640000 of size 1048576 next 537 2025-02-12 00:36:50.721715: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010740000 of size 1310720 next 531 2025-02-12 00:36:50.721724: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010880000 of size 2359296 next 530 2025-02-12 00:36:50.721732: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010ac0000 of size 1048576 next 555 2025-02-12 00:36:50.721740: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010bc0000 of size 1310720 next 549 2025-02-12 00:36:50.721749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010d00000 of size 2359296 next 548 2025-02-12 00:36:50.721757: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb010f40000 of size 1048576 next 572 2025-02-12 00:36:50.721765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb011040000 of size 1310720 next 567 2025-02-12 00:36:50.721774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb011180000 of size 4587520 next 18446744073709551615 2025-02-12 00:36:50.721783: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 33554432 2025-02-12 00:36:50.721791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012000000 of size 2359296 next 245 2025-02-12 00:36:50.721800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012240000 of size 1048576 next 269 2025-02-12 00:36:50.721808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012340000 of size 1310720 next 263 2025-02-12 00:36:50.721817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012480000 of size 2359296 next 262 2025-02-12 00:36:50.721825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0126c0000 of size 1048576 next 287 2025-02-12 00:36:50.721833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0127c0000 of size 1310720 next 281 2025-02-12 00:36:50.721842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012900000 of size 2359296 next 280 2025-02-12 00:36:50.721850: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012b40000 of size 1048576 next 304 2025-02-12 00:36:50.721859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012c40000 of size 1310720 next 298 2025-02-12 00:36:50.721867: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012d80000 of size 2359296 next 297 2025-02-12 00:36:50.721875: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb012fc0000 of size 1048576 next 322 2025-02-12 00:36:50.721890: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0130c0000 of size 1310720 next 316 2025-02-12 00:36:50.721899: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013200000 of size 2359296 next 315 2025-02-12 00:36:50.721907: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013440000 of size 1048576 next 340 2025-02-12 00:36:50.721916: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013540000 of size 1310720 next 334 2025-02-12 00:36:50.721924: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013680000 of size 2359296 next 333 2025-02-12 00:36:50.721933: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0138c0000 of size 1048576 next 358 2025-02-12 00:36:50.721941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0139c0000 of size 1310720 next 352 2025-02-12 00:36:50.721949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013b00000 of size 2359296 next 351 2025-02-12 00:36:50.721958: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013d40000 of size 1048576 next 376 2025-02-12 00:36:50.721967: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb013e40000 of size 1835008 next 18446744073709551615 2025-02-12 00:36:50.721975: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216 2025-02-12 00:36:50.721984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014000000 of size 2359296 next 181 2025-02-12 00:36:50.721992: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014240000 of size 2097152 next 196 2025-02-12 00:36:50.722001: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014440000 of size 1048576 next 216 2025-02-12 00:36:50.722009: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014540000 of size 1310720 next 209 2025-02-12 00:36:50.722017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014680000 of size 2359296 next 208 2025-02-12 00:36:50.722026: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0148c0000 of size 1048576 next 234 2025-02-12 00:36:50.722034: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0149c0000 of size 1310720 next 228 2025-02-12 00:36:50.722042: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014b00000 of size 2359296 next 227 2025-02-12 00:36:50.722051: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb014d40000 of size 2883584 next 18446744073709551615 2025-02-12 00:36:50.722059: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152 2025-02-12 00:36:50.722068: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016600000 of size 147456 next 55 2025-02-12 00:36:50.722077: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016624000 of size 65536 next 78 2025-02-12 00:36:50.722085: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016634000 of size 4096 next 191 2025-02-12 00:36:50.722094: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016635000 of size 4096 next 192 2025-02-12 00:36:50.722102: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016636000 of size 4096 next 193 2025-02-12 00:36:50.722111: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016637000 of size 256 next 194 2025-02-12 00:36:50.722119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016637100 of size 256 next 195 2025-02-12 00:36:50.722127: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016637200 of size 4096 next 197 2025-02-12 00:36:50.722136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016638200 of size 4096 next 198 2025-02-12 00:36:50.722144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016639200 of size 4096 next 199 2025-02-12 00:36:50.722159: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663a200 of size 4096 next 200 2025-02-12 00:36:50.722168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663b200 of size 4096 next 201 2025-02-12 00:36:50.722176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663c200 of size 1024 next 202 2025-02-12 00:36:50.722185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663c600 of size 1024 next 204 2025-02-12 00:36:50.722193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663ca00 of size 1024 next 205 2025-02-12 00:36:50.722206: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663ce00 of size 1024 next 206 2025-02-12 00:36:50.722215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663d200 of size 1024 next 207 2025-02-12 00:36:50.722223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663d600 of size 1024 next 210 2025-02-12 00:36:50.722232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663da00 of size 1024 next 211 2025-02-12 00:36:50.722240: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663de00 of size 1024 next 212 2025-02-12 00:36:50.722248: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663e200 of size 1024 next 213 2025-02-12 00:36:50.722257: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663e600 of size 1024 next 214 2025-02-12 00:36:50.722265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663ea00 of size 4096 next 215 2025-02-12 00:36:50.722274: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01663fa00 of size 4096 next 217 2025-02-12 00:36:50.722282: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016640a00 of size 4096 next 218 2025-02-12 00:36:50.722291: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016641a00 of size 4096 next 219 2025-02-12 00:36:50.722299: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016642a00 of size 4096 next 220 2025-02-12 00:36:50.722308: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016643a00 of size 1024 next 221 2025-02-12 00:36:50.722316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016643e00 of size 1024 next 223 2025-02-12 00:36:50.722325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016644200 of size 1024 next 224 2025-02-12 00:36:50.722333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016644600 of size 1024 next 225 2025-02-12 00:36:50.722341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016644a00 of size 1024 next 226 2025-02-12 00:36:50.722349: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016644e00 of size 1024 next 229 2025-02-12 00:36:50.722358: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016645200 of size 1024 next 230 2025-02-12 00:36:50.722366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016645600 of size 1024 next 231 2025-02-12 00:36:50.722374: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016645a00 of size 1024 next 232 2025-02-12 00:36:50.722382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016645e00 of size 1024 next 233 2025-02-12 00:36:50.722391: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016646200 of size 7680 next 72 2025-02-12 00:36:50.722399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016648000 of size 147456 next 71 2025-02-12 00:36:50.722408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01666c000 of size 131072 next 87 2025-02-12 00:36:50.722416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668c000 of size 4096 next 289 2025-02-12 00:36:50.722425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668d000 of size 4096 next 290 2025-02-12 00:36:50.722433: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668e000 of size 4096 next 291 2025-02-12 00:36:50.722448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668f000 of size 1024 next 292 2025-02-12 00:36:50.722457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668f400 of size 1024 next 293 2025-02-12 00:36:50.722465: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668f800 of size 1024 next 294 2025-02-12 00:36:50.722473: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01668fc00 of size 1024 next 295 2025-02-12 00:36:50.722482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016690000 of size 1024 next 296 2025-02-12 00:36:50.722490: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016690400 of size 1024 next 299 2025-02-12 00:36:50.722498: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016690800 of size 1024 next 300 2025-02-12 00:36:50.722507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016690c00 of size 1024 next 301 2025-02-12 00:36:50.722515: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016691000 of size 1024 next 302 2025-02-12 00:36:50.722523: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016691400 of size 1024 next 303 2025-02-12 00:36:50.722532: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016691800 of size 4096 next 305 2025-02-12 00:36:50.722540: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016692800 of size 4096 next 306 2025-02-12 00:36:50.722548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016693800 of size 4096 next 307 2025-02-12 00:36:50.722556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016694800 of size 4096 next 308 2025-02-12 00:36:50.722564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016695800 of size 4096 next 309 2025-02-12 00:36:50.722573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016696800 of size 1024 next 310 2025-02-12 00:36:50.722581: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016696c00 of size 1024 next 311 2025-02-12 00:36:50.722589: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016697000 of size 1024 next 312 2025-02-12 00:36:50.722598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016697400 of size 1024 next 313 2025-02-12 00:36:50.722606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016697800 of size 1024 next 314 2025-02-12 00:36:50.722614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016697c00 of size 1024 next 317 2025-02-12 00:36:50.722622: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016698000 of size 1024 next 318 2025-02-12 00:36:50.722631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016698400 of size 1024 next 319 2025-02-12 00:36:50.722639: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016698800 of size 1024 next 320 2025-02-12 00:36:50.722648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016698c00 of size 1024 next 321 2025-02-12 00:36:50.722656: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016699000 of size 4096 next 323 2025-02-12 00:36:50.722664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669a000 of size 4096 next 324 2025-02-12 00:36:50.722673: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669b000 of size 4096 next 325 2025-02-12 00:36:50.722681: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669c000 of size 4096 next 326 2025-02-12 00:36:50.722689: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669d000 of size 4096 next 327 2025-02-12 00:36:50.722698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669e000 of size 1024 next 328 2025-02-12 00:36:50.722706: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669e400 of size 1024 next 329 2025-02-12 00:36:50.722721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669e800 of size 1024 next 330 2025-02-12 00:36:50.722729: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669ec00 of size 1024 next 331 2025-02-12 00:36:50.722738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669f000 of size 1024 next 332 2025-02-12 00:36:50.722746: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669f400 of size 1024 next 335 2025-02-12 00:36:50.722754: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669f800 of size 1024 next 336 2025-02-12 00:36:50.722762: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01669fc00 of size 1024 next 337 2025-02-12 00:36:50.722771: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a0000 of size 1024 next 338 2025-02-12 00:36:50.722779: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a0400 of size 1024 next 339 2025-02-12 00:36:50.722787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a0800 of size 4096 next 341 2025-02-12 00:36:50.722795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a1800 of size 4096 next 342 2025-02-12 00:36:50.722804: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a2800 of size 4096 next 343 2025-02-12 00:36:50.722812: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a3800 of size 4096 next 344 2025-02-12 00:36:50.722820: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a4800 of size 4096 next 345 2025-02-12 00:36:50.722828: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a5800 of size 1024 next 346 2025-02-12 00:36:50.722837: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a5c00 of size 1024 next 347 2025-02-12 00:36:50.722845: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a6000 of size 1024 next 348 2025-02-12 00:36:50.722853: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a6400 of size 1024 next 349 2025-02-12 00:36:50.722861: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a6800 of size 1024 next 350 2025-02-12 00:36:50.722870: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a6c00 of size 1024 next 353 2025-02-12 00:36:50.722878: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a7000 of size 1024 next 354 2025-02-12 00:36:50.722886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a7400 of size 1024 next 355 2025-02-12 00:36:50.722894: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a7800 of size 1024 next 356 2025-02-12 00:36:50.722929: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a7c00 of size 1024 next 357 2025-02-12 00:36:50.722937: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a8000 of size 4096 next 359 2025-02-12 00:36:50.722946: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166a9000 of size 4096 next 360 2025-02-12 00:36:50.722954: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166aa000 of size 4096 next 361 2025-02-12 00:36:50.722962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ab000 of size 4096 next 362 2025-02-12 00:36:50.722971: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ac000 of size 4096 next 363 2025-02-12 00:36:50.722979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ad000 of size 1024 next 364 2025-02-12 00:36:50.722987: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ad400 of size 1024 next 365 2025-02-12 00:36:50.722996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ad800 of size 1024 next 366 2025-02-12 00:36:50.723004: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166adc00 of size 1024 next 367 2025-02-12 00:36:50.723027: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ae000 of size 1024 next 368 2025-02-12 00:36:50.723036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ae400 of size 1024 next 371 2025-02-12 00:36:50.723045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ae800 of size 1024 next 372 2025-02-12 00:36:50.723053: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166aec00 of size 1024 next 373 2025-02-12 00:36:50.723061: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166af000 of size 1024 next 374 2025-02-12 00:36:50.723070: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166af400 of size 1024 next 375 2025-02-12 00:36:50.723078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166af800 of size 4096 next 377 2025-02-12 00:36:50.723086: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b0800 of size 4096 next 378 2025-02-12 00:36:50.723094: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b1800 of size 4096 next 379 2025-02-12 00:36:50.723103: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b2800 of size 4096 next 380 2025-02-12 00:36:50.723111: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b3800 of size 4096 next 381 2025-02-12 00:36:50.723119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b4800 of size 1024 next 382 2025-02-12 00:36:50.723128: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b4c00 of size 1024 next 383 2025-02-12 00:36:50.723136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b5000 of size 1024 next 384 2025-02-12 00:36:50.723144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b5400 of size 1024 next 385 2025-02-12 00:36:50.723152: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b5800 of size 1024 next 386 2025-02-12 00:36:50.723161: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b5c00 of size 1024 next 389 2025-02-12 00:36:50.723169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b6000 of size 1024 next 390 2025-02-12 00:36:50.723177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b6400 of size 1024 next 391 2025-02-12 00:36:50.723185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b6800 of size 1024 next 392 2025-02-12 00:36:50.723194: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b6c00 of size 1024 next 393 2025-02-12 00:36:50.723202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b7000 of size 4096 next 395 2025-02-12 00:36:50.723210: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b8000 of size 4096 next 396 2025-02-12 00:36:50.723219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166b9000 of size 4096 next 397 2025-02-12 00:36:50.723227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ba000 of size 4096 next 398 2025-02-12 00:36:50.723235: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bb000 of size 4096 next 399 2025-02-12 00:36:50.723243: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bc000 of size 1024 next 400 2025-02-12 00:36:50.723252: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bc400 of size 1024 next 401 2025-02-12 00:36:50.723260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bc800 of size 1024 next 402 2025-02-12 00:36:50.723268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bcc00 of size 1024 next 403 2025-02-12 00:36:50.723277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bd000 of size 1024 next 404 2025-02-12 00:36:50.723285: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bd400 of size 1024 next 407 2025-02-12 00:36:50.723299: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bd800 of size 1024 next 408 2025-02-12 00:36:50.723308: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bdc00 of size 1024 next 409 2025-02-12 00:36:50.723316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166be000 of size 1024 next 410 2025-02-12 00:36:50.723324: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166be400 of size 1024 next 411 2025-02-12 00:36:50.723333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166be800 of size 4096 next 413 2025-02-12 00:36:50.723341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166bf800 of size 4096 next 414 2025-02-12 00:36:50.723349: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c0800 of size 4096 next 415 2025-02-12 00:36:50.723358: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c1800 of size 4096 next 416 2025-02-12 00:36:50.723366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c2800 of size 4096 next 417 2025-02-12 00:36:50.723375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c3800 of size 1024 next 418 2025-02-12 00:36:50.723383: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c3c00 of size 1024 next 419 2025-02-12 00:36:50.723391: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c4000 of size 1024 next 420 2025-02-12 00:36:50.723400: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c4400 of size 1024 next 421 2025-02-12 00:36:50.723408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c4800 of size 1024 next 422 2025-02-12 00:36:50.723416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c4c00 of size 1024 next 425 2025-02-12 00:36:50.723425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c5000 of size 1024 next 426 2025-02-12 00:36:50.723433: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c5400 of size 1024 next 427 2025-02-12 00:36:50.723441: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c5800 of size 1024 next 428 2025-02-12 00:36:50.723450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c5c00 of size 1024 next 429 2025-02-12 00:36:50.723458: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c6000 of size 4096 next 431 2025-02-12 00:36:50.723466: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c7000 of size 4096 next 432 2025-02-12 00:36:50.723475: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c8000 of size 4096 next 433 2025-02-12 00:36:50.723483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166c9000 of size 4096 next 434 2025-02-12 00:36:50.723491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166ca000 of size 4096 next 435 2025-02-12 00:36:50.723500: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166cb000 of size 1024 next 436 2025-02-12 00:36:50.723508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166cb400 of size 1024 next 437 2025-02-12 00:36:50.723516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166cb800 of size 1024 next 438 2025-02-12 00:36:50.723525: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166cbc00 of size 1024 next 103 2025-02-12 00:36:50.723533: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0166cc000 of size 262144 next 102 2025-02-12 00:36:50.723542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7fb01670c000 of size 999424 next 18446744073709551615 2025-02-12 00:36:50.723550: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304 2025-02-12 00:36:50.723559: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016800000 of size 589824 next 96 2025-02-12 00:36:50.723576: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016890000 of size 262144 next 117 2025-02-12 00:36:50.723585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d0000 of size 1024 next 439 2025-02-12 00:36:50.723593: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d0400 of size 1024 next 442 2025-02-12 00:36:50.723601: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d0800 of size 1024 next 443 2025-02-12 00:36:50.723610: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d0c00 of size 1024 next 444 2025-02-12 00:36:50.723618: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d1000 of size 1024 next 445 2025-02-12 00:36:50.723626: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d1400 of size 1024 next 446 2025-02-12 00:36:50.723634: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d1800 of size 4096 next 448 2025-02-12 00:36:50.723643: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d2800 of size 4096 next 449 2025-02-12 00:36:50.723651: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d3800 of size 4096 next 450 2025-02-12 00:36:50.723659: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d4800 of size 4096 next 451 2025-02-12 00:36:50.723668: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d5800 of size 4096 next 452 2025-02-12 00:36:50.723676: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d6800 of size 1024 next 453 2025-02-12 00:36:50.723684: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d6c00 of size 1024 next 454 2025-02-12 00:36:50.723692: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d7000 of size 1024 next 455 2025-02-12 00:36:50.723700: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d7400 of size 1024 next 456 2025-02-12 00:36:50.723709: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d7800 of size 1024 next 457 2025-02-12 00:36:50.723717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d7c00 of size 1024 next 460 2025-02-12 00:36:50.723725: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d8000 of size 1024 next 461 2025-02-12 00:36:50.723733: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d8400 of size 1024 next 462 2025-02-12 00:36:50.723742: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d8800 of size 1024 next 463 2025-02-12 00:36:50.723750: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d8c00 of size 1024 next 464 2025-02-12 00:36:50.723758: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168d9000 of size 4096 next 466 2025-02-12 00:36:50.723767: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168da000 of size 4096 next 467 2025-02-12 00:36:50.723775: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168db000 of size 4096 next 468 2025-02-12 00:36:50.723783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168dc000 of size 4096 next 469 2025-02-12 00:36:50.723791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168dd000 of size 4096 next 470 2025-02-12 00:36:50.723800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168de000 of size 1024 next 471 2025-02-12 00:36:50.723808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168de400 of size 1024 next 472 2025-02-12 00:36:50.723816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168de800 of size 1024 next 473 2025-02-12 00:36:50.723825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168dec00 of size 1024 next 474 2025-02-12 00:36:50.723833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168df000 of size 1024 next 475 2025-02-12 00:36:50.723841: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168df400 of size 1024 next 478 2025-02-12 00:36:50.723855: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168df800 of size 1024 next 479 2025-02-12 00:36:50.723864: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168dfc00 of size 1024 next 480 2025-02-12 00:36:50.723872: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e0000 of size 1024 next 481 2025-02-12 00:36:50.723881: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e0400 of size 1024 next 482 2025-02-12 00:36:50.723889: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e0800 of size 4096 next 484 2025-02-12 00:36:50.723897: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e1800 of size 4096 next 485 2025-02-12 00:36:50.723905: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e2800 of size 4096 next 486 2025-02-12 00:36:50.723914: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e3800 of size 4096 next 487 2025-02-12 00:36:50.723922: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e4800 of size 4096 next 488 2025-02-12 00:36:50.723930: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e5800 of size 1024 next 489 2025-02-12 00:36:50.723938: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e5c00 of size 1024 next 490 2025-02-12 00:36:50.723947: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e6000 of size 1024 next 491 2025-02-12 00:36:50.723955: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e6400 of size 1024 next 492 2025-02-12 00:36:50.723964: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e6800 of size 1024 next 493 2025-02-12 00:36:50.723973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e6c00 of size 1024 next 496 2025-02-12 00:36:50.723981: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e7000 of size 1024 next 497 2025-02-12 00:36:50.723989: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e7400 of size 1024 next 498 2025-02-12 00:36:50.723998: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e7800 of size 1024 next 499 2025-02-12 00:36:50.724006: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e7c00 of size 1024 next 500 2025-02-12 00:36:50.724014: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e8000 of size 4096 next 502 2025-02-12 00:36:50.724022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168e9000 of size 4096 next 503 2025-02-12 00:36:50.724031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ea000 of size 4096 next 504 2025-02-12 00:36:50.724039: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168eb000 of size 4096 next 505 2025-02-12 00:36:50.724047: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ec000 of size 4096 next 506 2025-02-12 00:36:50.724055: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ed000 of size 1024 next 507 2025-02-12 00:36:50.724064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ed400 of size 1024 next 508 2025-02-12 00:36:50.724072: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ed800 of size 1024 next 509 2025-02-12 00:36:50.724080: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168edc00 of size 1024 next 510 2025-02-12 00:36:50.724088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ee000 of size 1024 next 511 2025-02-12 00:36:50.724096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ee400 of size 1024 next 514 2025-02-12 00:36:50.724105: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ee800 of size 1024 next 515 2025-02-12 00:36:50.724113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168eec00 of size 1024 next 516 2025-02-12 00:36:50.724127: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ef000 of size 1024 next 517 2025-02-12 00:36:50.724136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ef400 of size 1024 next 518 2025-02-12 00:36:50.724144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ef800 of size 4096 next 520 2025-02-12 00:36:50.724152: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f0800 of size 4096 next 521 2025-02-12 00:36:50.724161: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f1800 of size 4096 next 522 2025-02-12 00:36:50.724169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f2800 of size 4096 next 523 2025-02-12 00:36:50.724177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f3800 of size 4096 next 524 2025-02-12 00:36:50.724185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f4800 of size 1024 next 525 2025-02-12 00:36:50.724194: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f4c00 of size 1024 next 526 2025-02-12 00:36:50.724202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f5000 of size 1024 next 527 2025-02-12 00:36:50.724210: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f5400 of size 1024 next 528 2025-02-12 00:36:50.724218: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f5800 of size 1024 next 529 2025-02-12 00:36:50.724227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f5c00 of size 1024 next 532 2025-02-12 00:36:50.724235: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f6000 of size 1024 next 533 2025-02-12 00:36:50.724243: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f6400 of size 1024 next 534 2025-02-12 00:36:50.724251: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f6800 of size 1024 next 535 2025-02-12 00:36:50.724260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f6c00 of size 1024 next 536 2025-02-12 00:36:50.724268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f7000 of size 4096 next 538 2025-02-12 00:36:50.724276: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f8000 of size 4096 next 539 2025-02-12 00:36:50.724285: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168f9000 of size 4096 next 540 2025-02-12 00:36:50.724293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fa000 of size 4096 next 541 2025-02-12 00:36:50.724301: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fb000 of size 4096 next 542 2025-02-12 00:36:50.724309: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fc000 of size 1024 next 543 2025-02-12 00:36:50.724318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fc400 of size 1024 next 544 2025-02-12 00:36:50.724326: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fc800 of size 1024 next 545 2025-02-12 00:36:50.724334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fcc00 of size 1024 next 546 2025-02-12 00:36:50.724343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fd000 of size 1024 next 547 2025-02-12 00:36:50.724351: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fd400 of size 1024 next 550 2025-02-12 00:36:50.724359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fd800 of size 1024 next 551 2025-02-12 00:36:50.724368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fdc00 of size 1024 next 552 2025-02-12 00:36:50.724376: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fe000 of size 1024 next 553 2025-02-12 00:36:50.724384: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fe400 of size 1024 next 554 2025-02-12 00:36:50.724399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168fe800 of size 4096 next 556 2025-02-12 00:36:50.724408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0168ff800 of size 4096 next 557 2025-02-12 00:36:50.724416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016900800 of size 4096 next 558 2025-02-12 00:36:50.724424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016901800 of size 4096 next 559 2025-02-12 00:36:50.724432: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016902800 of size 4096 next 560 2025-02-12 00:36:50.724441: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016903800 of size 1024 next 561 2025-02-12 00:36:50.724449: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016903c00 of size 1024 next 562 2025-02-12 00:36:50.724457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016904000 of size 1024 next 563 2025-02-12 00:36:50.724465: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016904400 of size 1024 next 564 2025-02-12 00:36:50.724474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016904800 of size 1024 next 565 2025-02-12 00:36:50.724482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016904c00 of size 1024 next 566 2025-02-12 00:36:50.724491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016905000 of size 1024 next 568 2025-02-12 00:36:50.724499: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016905400 of size 1024 next 569 2025-02-12 00:36:50.724507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016905800 of size 1024 next 570 2025-02-12 00:36:50.724515: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016905c00 of size 1024 next 571 2025-02-12 00:36:50.724524: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016906000 of size 4096 next 573 2025-02-12 00:36:50.724532: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016907000 of size 4096 next 574 2025-02-12 00:36:50.724540: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016908000 of size 4096 next 575 2025-02-12 00:36:50.724548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016909000 of size 4096 next 576 2025-02-12 00:36:50.724556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690a000 of size 4096 next 577 2025-02-12 00:36:50.724565: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690b000 of size 1024 next 578 2025-02-12 00:36:50.724573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690b400 of size 1024 next 579 2025-02-12 00:36:50.724581: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690b800 of size 1024 next 580 2025-02-12 00:36:50.724589: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690bc00 of size 1024 next 581 2025-02-12 00:36:50.724598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690c000 of size 1024 next 582 2025-02-12 00:36:50.724606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb01690c400 of size 256 next 583 2025-02-12 00:36:50.724614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7fb01690c500 of size 15104 next 112 2025-02-12 00:36:50.724623: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016910000 of size 524288 next 111 2025-02-12 00:36:50.724631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016990000 of size 262144 next 135 2025-02-12 00:36:50.724640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0169d0000 of size 327680 next 124 2025-02-12 00:36:50.724648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016a20000 of size 589824 next 123 2025-02-12 00:36:50.724656: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016ab0000 of size 262144 next 152 2025-02-12 00:36:50.724670: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016af0000 of size 327680 next 142 2025-02-12 00:36:50.724679: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016b40000 of size 786432 next 18446744073709551615 2025-02-12 00:36:50.724688: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608 2025-02-12 00:36:50.724703: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7fb016c00000 of size 589824 next 160 2025-02-12 00:36:50.724711: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016c90000 of size 589824 next 158 2025-02-12 00:36:50.724719: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016d20000 of size 524288 next 171 2025-02-12 00:36:50.724728: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7fb016da0000 of size 1048576 next 222 2025-02-12 00:36:50.724736: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016ea0000 of size 1048576 next 190 2025-02-12 00:36:50.724745: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb016fa0000 of size 1048576 next 189 2025-02-12 00:36:50.724753: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0170a0000 of size 1048576 next 203 2025-02-12 00:36:50.724761: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0171a0000 of size 1048576 next 251 2025-02-12 00:36:50.724770: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb0172a0000 of size 1441792 next 18446744073709551615 2025-02-12 00:36:50.724778: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576 2025-02-12 00:36:50.724787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00000 of size 1280 next 1 2025-02-12 00:36:50.724795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00500 of size 256 next 5 2025-02-12 00:36:50.724804: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00600 of size 256 next 8 2025-02-12 00:36:50.724812: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00700 of size 256 next 9 2025-02-12 00:36:50.724820: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00800 of size 256 next 10 2025-02-12 00:36:50.724829: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00900 of size 256 next 11 2025-02-12 00:36:50.724837: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00a00 of size 256 next 12 2025-02-12 00:36:50.724845: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00b00 of size 256 next 13 2025-02-12 00:36:50.724854: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00c00 of size 256 next 17 2025-02-12 00:36:50.724862: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00d00 of size 256 next 19 2025-02-12 00:36:50.724870: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00e00 of size 256 next 20 2025-02-12 00:36:50.724878: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce00f00 of size 256 next 21 2025-02-12 00:36:50.724887: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01000 of size 256 next 22 2025-02-12 00:36:50.724895: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01100 of size 256 next 24 2025-02-12 00:36:50.724903: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01200 of size 256 next 25 2025-02-12 00:36:50.724911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01300 of size 256 next 23 2025-02-12 00:36:50.724919: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01400 of size 256 next 28 2025-02-12 00:36:50.724928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01500 of size 256 next 29 2025-02-12 00:36:50.724936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01600 of size 256 next 30 2025-02-12 00:36:50.724944: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01700 of size 256 next 31 2025-02-12 00:36:50.724959: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01800 of size 256 next 33 2025-02-12 00:36:50.724968: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01900 of size 256 next 34 2025-02-12 00:36:50.724976: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01a00 of size 1024 next 32 2025-02-12 00:36:50.724985: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce01e00 of size 1024 next 37 2025-02-12 00:36:50.724993: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce02200 of size 1024 next 38 2025-02-12 00:36:50.725001: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce02600 of size 1024 next 39 2025-02-12 00:36:50.725009: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce02a00 of size 1024 next 40 2025-02-12 00:36:50.725018: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce02e00 of size 1024 next 41 2025-02-12 00:36:50.725026: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce03200 of size 1024 next 43 2025-02-12 00:36:50.725034: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce03600 of size 1024 next 44 2025-02-12 00:36:50.725042: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce03a00 of size 1024 next 45 2025-02-12 00:36:50.725050: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce03e00 of size 1024 next 46 2025-02-12 00:36:50.725059: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04200 of size 256 next 48 2025-02-12 00:36:50.725067: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04300 of size 256 next 49 2025-02-12 00:36:50.725075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04400 of size 256 next 50 2025-02-12 00:36:50.725083: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04500 of size 256 next 51 2025-02-12 00:36:50.725092: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04600 of size 256 next 52 2025-02-12 00:36:50.725100: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04700 of size 256 next 53 2025-02-12 00:36:50.725108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04800 of size 256 next 56 2025-02-12 00:36:50.725116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04900 of size 256 next 57 2025-02-12 00:36:50.725125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04a00 of size 256 next 58 2025-02-12 00:36:50.725133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04b00 of size 256 next 14 2025-02-12 00:36:50.725141: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04c00 of size 256 next 15 2025-02-12 00:36:50.725150: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04d00 of size 256 next 16 2025-02-12 00:36:50.725158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce04e00 of size 1024 next 60 2025-02-12 00:36:50.725166: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce05200 of size 1024 next 61 2025-02-12 00:36:50.725174: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce05600 of size 1024 next 62 2025-02-12 00:36:50.725183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce05a00 of size 1024 next 63 2025-02-12 00:36:50.725191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce05e00 of size 1024 next 64 2025-02-12 00:36:50.725199: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06200 of size 256 next 66 2025-02-12 00:36:50.725208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06300 of size 256 next 67 2025-02-12 00:36:50.725216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06400 of size 256 next 68 2025-02-12 00:36:50.725230: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06500 of size 256 next 69 2025-02-12 00:36:50.725240: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06600 of size 256 next 70 2025-02-12 00:36:50.725249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06700 of size 256 next 73 2025-02-12 00:36:50.725257: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06800 of size 256 next 74 2025-02-12 00:36:50.725265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06900 of size 256 next 75 2025-02-12 00:36:50.725273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06a00 of size 256 next 76 2025-02-12 00:36:50.725281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06b00 of size 256 next 77 2025-02-12 00:36:50.725290: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce06c00 of size 1024 next 79 2025-02-12 00:36:50.725298: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce07000 of size 1024 next 80 2025-02-12 00:36:50.725306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce07400 of size 1024 next 81 2025-02-12 00:36:50.725315: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce07800 of size 1024 next 82 2025-02-12 00:36:50.725323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce07c00 of size 1024 next 83 2025-02-12 00:36:50.725331: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08000 of size 256 next 85 2025-02-12 00:36:50.725339: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08100 of size 256 next 86 2025-02-12 00:36:50.725348: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08200 of size 512 next 84 2025-02-12 00:36:50.725356: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08400 of size 512 next 88 2025-02-12 00:36:50.725364: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08600 of size 512 next 89 2025-02-12 00:36:50.725373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08800 of size 512 next 90 2025-02-12 00:36:50.725381: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08a00 of size 512 next 91 2025-02-12 00:36:50.725389: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08c00 of size 256 next 93 2025-02-12 00:36:50.725397: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08d00 of size 256 next 94 2025-02-12 00:36:50.725405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce08e00 of size 512 next 92 2025-02-12 00:36:50.725414: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09000 of size 512 next 97 2025-02-12 00:36:50.725422: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09200 of size 512 next 98 2025-02-12 00:36:50.725431: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09400 of size 512 next 99 2025-02-12 00:36:50.725439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09600 of size 512 next 2 2025-02-12 00:36:50.725447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09800 of size 256 next 3 2025-02-12 00:36:50.725456: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09900 of size 256 next 4 2025-02-12 00:36:50.725464: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce09a00 of size 16384 next 18 2025-02-12 00:36:50.725472: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0da00 of size 256 next 100 2025-02-12 00:36:50.725481: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0db00 of size 256 next 101 2025-02-12 00:36:50.725489: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0dc00 of size 2048 next 104 2025-02-12 00:36:50.725497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0e400 of size 2048 next 105 2025-02-12 00:36:50.725513: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0ec00 of size 2048 next 106 2025-02-12 00:36:50.725522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0f400 of size 2048 next 107 2025-02-12 00:36:50.725530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce0fc00 of size 2048 next 108 2025-02-12 00:36:50.725538: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce10400 of size 256 next 109 2025-02-12 00:36:50.725547: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce10500 of size 256 next 110 2025-02-12 00:36:50.725555: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce10600 of size 2048 next 113 2025-02-12 00:36:50.725563: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce10e00 of size 2048 next 114 2025-02-12 00:36:50.725572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce11600 of size 2048 next 115 2025-02-12 00:36:50.725580: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce11e00 of size 2048 next 116 2025-02-12 00:36:50.725588: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce12600 of size 2048 next 6 2025-02-12 00:36:50.725597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce12e00 of size 37632 next 7 2025-02-12 00:36:50.725605: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1c100 of size 512 next 118 2025-02-12 00:36:50.725614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1c300 of size 512 next 119 2025-02-12 00:36:50.725622: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1c500 of size 512 next 120 2025-02-12 00:36:50.725630: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1c700 of size 512 next 121 2025-02-12 00:36:50.725639: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1c900 of size 512 next 122 2025-02-12 00:36:50.725647: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1cb00 of size 512 next 125 2025-02-12 00:36:50.725655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1cd00 of size 512 next 126 2025-02-12 00:36:50.725663: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1cf00 of size 512 next 127 2025-02-12 00:36:50.725672: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1d100 of size 512 next 128 2025-02-12 00:36:50.725680: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1d300 of size 512 next 129 2025-02-12 00:36:50.725688: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1d500 of size 2048 next 130 2025-02-12 00:36:50.725697: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1dd00 of size 2048 next 131 2025-02-12 00:36:50.725705: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1e500 of size 2048 next 132 2025-02-12 00:36:50.725713: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1ed00 of size 2048 next 133 2025-02-12 00:36:50.725721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1f500 of size 2048 next 134 2025-02-12 00:36:50.725729: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1fd00 of size 512 next 136 2025-02-12 00:36:50.725738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce1ff00 of size 512 next 137 2025-02-12 00:36:50.725746: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20100 of size 512 next 138 2025-02-12 00:36:50.725754: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20300 of size 512 next 139 2025-02-12 00:36:50.725762: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20500 of size 512 next 140 2025-02-12 00:36:50.725771: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20700 of size 512 next 141 2025-02-12 00:36:50.725779: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20900 of size 512 next 143 2025-02-12 00:36:50.725792: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20b00 of size 512 next 144 2025-02-12 00:36:50.725800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20d00 of size 512 next 145 2025-02-12 00:36:50.725808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce20f00 of size 512 next 146 2025-02-12 00:36:50.725816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce21100 of size 2048 next 147 2025-02-12 00:36:50.725825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce21900 of size 2048 next 148 2025-02-12 00:36:50.725833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce22100 of size 2048 next 149 2025-02-12 00:36:50.725841: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce22900 of size 2048 next 150 2025-02-12 00:36:50.725849: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce23100 of size 2048 next 151 2025-02-12 00:36:50.725857: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce23900 of size 512 next 153 2025-02-12 00:36:50.725866: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce23b00 of size 512 next 154 2025-02-12 00:36:50.725874: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce23d00 of size 512 next 155 2025-02-12 00:36:50.725882: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce23f00 of size 512 next 156 2025-02-12 00:36:50.725890: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24100 of size 512 next 157 2025-02-12 00:36:50.725899: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24300 of size 512 next 161 2025-02-12 00:36:50.725908: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24500 of size 512 next 162 2025-02-12 00:36:50.725916: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24700 of size 512 next 163 2025-02-12 00:36:50.725924: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24900 of size 512 next 164 2025-02-12 00:36:50.725932: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24b00 of size 512 next 165 2025-02-12 00:36:50.725941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce24d00 of size 2048 next 166 2025-02-12 00:36:50.725949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce25500 of size 2048 next 167 2025-02-12 00:36:50.725957: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce25d00 of size 2048 next 168 2025-02-12 00:36:50.725965: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce26500 of size 2048 next 169 2025-02-12 00:36:50.725974: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce26d00 of size 2048 next 170 2025-02-12 00:36:50.725982: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce27500 of size 1024 next 172 2025-02-12 00:36:50.725990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce27900 of size 1024 next 173 2025-02-12 00:36:50.725999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce27d00 of size 1024 next 174 2025-02-12 00:36:50.726007: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28100 of size 1024 next 175 2025-02-12 00:36:50.726015: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28500 of size 1024 next 176 2025-02-12 00:36:50.726024: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28900 of size 256 next 178 2025-02-12 00:36:50.726032: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28a00 of size 256 next 179 2025-02-12 00:36:50.726040: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28b00 of size 1024 next 177 2025-02-12 00:36:50.726049: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce28f00 of size 1024 next 182 2025-02-12 00:36:50.726063: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce29300 of size 1024 next 183 2025-02-12 00:36:50.726072: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce29700 of size 1024 next 184 2025-02-12 00:36:50.726080: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce29b00 of size 1024 next 185 2025-02-12 00:36:50.726088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce29f00 of size 256 next 187 2025-02-12 00:36:50.726096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce2a000 of size 256 next 188 2025-02-12 00:36:50.726105: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce2a100 of size 4096 next 186 2025-02-12 00:36:50.726113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce2b100 of size 4096 next 42 2025-02-12 00:36:50.726121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce2c100 of size 65536 next 36 2025-02-12 00:36:50.726130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce3c100 of size 65536 next 35 2025-02-12 00:36:50.726138: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce4c100 of size 4096 next 235 2025-02-12 00:36:50.726146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce4d100 of size 4096 next 236 2025-02-12 00:36:50.726155: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce4e100 of size 4096 next 237 2025-02-12 00:36:50.726163: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce4f100 of size 4096 next 238 2025-02-12 00:36:50.726171: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce50100 of size 1024 next 239 2025-02-12 00:36:50.726179: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce50500 of size 1024 next 240 2025-02-12 00:36:50.726187: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce50900 of size 1024 next 241 2025-02-12 00:36:50.726196: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce50d00 of size 1024 next 242 2025-02-12 00:36:50.726204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce51100 of size 1024 next 243 2025-02-12 00:36:50.726212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce51500 of size 1024 next 246 2025-02-12 00:36:50.726220: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce51900 of size 1024 next 247 2025-02-12 00:36:50.726228: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce51d00 of size 1024 next 248 2025-02-12 00:36:50.726237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce52100 of size 1024 next 249 2025-02-12 00:36:50.726245: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce52500 of size 1024 next 250 2025-02-12 00:36:50.726253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce52900 of size 4096 next 252 2025-02-12 00:36:50.726261: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce53900 of size 4096 next 253 2025-02-12 00:36:50.726270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce54900 of size 4096 next 254 2025-02-12 00:36:50.726278: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce55900 of size 4096 next 255 2025-02-12 00:36:50.726286: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce56900 of size 4096 next 256 2025-02-12 00:36:50.726294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce57900 of size 1024 next 257 2025-02-12 00:36:50.726303: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce57d00 of size 1024 next 258 2025-02-12 00:36:50.726311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce58100 of size 1024 next 259 2025-02-12 00:36:50.726320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce58500 of size 1024 next 260 2025-02-12 00:36:50.726334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce58900 of size 1024 next 261 2025-02-12 00:36:50.726343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce58d00 of size 1024 next 264 2025-02-12 00:36:50.726351: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce59100 of size 1024 next 265 2025-02-12 00:36:50.726360: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce59500 of size 1024 next 266 2025-02-12 00:36:50.726368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce59900 of size 1024 next 267 2025-02-12 00:36:50.726377: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce59d00 of size 1024 next 268 2025-02-12 00:36:50.726385: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5a100 of size 4096 next 270 2025-02-12 00:36:50.726393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5b100 of size 4096 next 271 2025-02-12 00:36:50.726402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5c100 of size 4096 next 272 2025-02-12 00:36:50.726410: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5d100 of size 4096 next 273 2025-02-12 00:36:50.726418: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5e100 of size 4096 next 274 2025-02-12 00:36:50.726427: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5f100 of size 1024 next 275 2025-02-12 00:36:50.726435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5f500 of size 1024 next 276 2025-02-12 00:36:50.726443: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5f900 of size 1024 next 277 2025-02-12 00:36:50.726452: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce5fd00 of size 1024 next 278 2025-02-12 00:36:50.726460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce60100 of size 1024 next 279 2025-02-12 00:36:50.726468: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce60500 of size 1024 next 282 2025-02-12 00:36:50.726477: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce60900 of size 1024 next 283 2025-02-12 00:36:50.726485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce60d00 of size 1024 next 284 2025-02-12 00:36:50.726493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce61100 of size 1024 next 285 2025-02-12 00:36:50.726501: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce61500 of size 1024 next 286 2025-02-12 00:36:50.726510: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce61900 of size 4096 next 288 2025-02-12 00:36:50.726518: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce62900 of size 6144 next 27 2025-02-12 00:36:50.726527: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce64100 of size 147456 next 26 2025-02-12 00:36:50.726535: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce88100 of size 65536 next 47 2025-02-12 00:36:50.726543: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ce98100 of size 65536 next 59 2025-02-12 00:36:50.726551: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14cea8100 of size 65536 next 65 2025-02-12 00:36:50.726560: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fb14ceb8100 of size 294656 next 18446744073709551615 2025-02-12 00:36:50.726568: I tensorflow/core/common_runtime/bfc_allocator.cc:995] Summary of in-use Chunks by size: 2025-02-12 00:36:50.726580: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB 2025-02-12 00:36:50.726589: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB 2025-02-12 00:36:50.726599: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 245 Chunks of size 1024 totalling 245.0KiB 2025-02-12 00:36:50.726615: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB 2025-02-12 00:36:50.726624: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB 2025-02-12 00:36:50.726634: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 113 Chunks of size 4096 totalling 452.0KiB 2025-02-12 00:36:50.726643: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 6144 totalling 6.0KiB 2025-02-12 00:36:50.726652: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB 2025-02-12 00:36:50.726661: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB 2025-02-12 00:36:50.726670: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB 2025-02-12 00:36:50.726679: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB 2025-02-12 00:36:50.726689: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB 2025-02-12 00:36:50.726698: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB 2025-02-12 00:36:50.726707: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB 2025-02-12 00:36:50.726716: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB 2025-02-12 00:36:50.726726: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB 2025-02-12 00:36:50.726735: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB 2025-02-12 00:36:50.726744: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB 2025-02-12 00:36:50.726753: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB 2025-02-12 00:36:50.726763: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 1048576 totalling 24.00MiB 2025-02-12 00:36:50.726772: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 18 Chunks of size 1310720 totalling 22.50MiB 2025-02-12 00:36:50.726782: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB 2025-02-12 00:36:50.726791: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1835008 totalling 1.75MiB 2025-02-12 00:36:50.726800: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB 2025-02-12 00:36:50.726809: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 21 Chunks of size 2359296 totalling 47.25MiB 2025-02-12 00:36:50.726818: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB 2025-02-12 00:36:50.726828: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4587520 totalling 4.38MiB 2025-02-12 00:36:50.726837: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 113.09MiB 2025-02-12 00:36:50.726845: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 122552320 memory_limit_: 122552320 available bytes: 0 curr_region_allocation_bytes_: 134217728 2025-02-12 00:36:50.726858: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: Limit: 122552320 InUse: 118588672 MaxInUse: 118588672 NumAllocs: 1959 MaxAllocSize: 4587520 2025-02-12 00:36:50.726879: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *********************************************x****************************************************** 2025-02-12 00:36:50.726928: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 Exception in mask_detect : OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:Mul] we want to redo the detection Using TensorFlow backend. max_time_sub_proc : 3600 erreur pendant la detection Useless call to update_current_state in case -12 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! ERROR : mask output needs to be a dictionnary now ! No output to save, continue without doing anything ! save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : -12 ERROR : 'int' object is not subscriptable reconnect to base ! warning , we can't find thcl infos in json_data warning , we can't find pdt infos in json_data #&_# TEST FAILED #&_# : tests/mask_test #&_# Error : invalid literal for int() with base 10: "'int' object is not subscriptable" /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_a322f3f957fb93d8dde36d0c765e11c11a7c8a94 SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_a322f3f957fb93d8dde36d0c765e11c11a7c8a94','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/12022025/python_test3//data_2/data_log/job/2025/February/12022025/python_test3/log-python3----short_python3--v--marlene-00:35:01.txt','mask_detection','unknown'); #&_# END OF TEST #&_# : tests/mask_test #&_# #&_# BEGIN OF TEST : tests/datou_test #&_# /home/admin/workarea/git/Velours/python/tests/datou_test.py Datou All Test python version used : 3 ############################### TEST sam ################################ TEST SAM Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4573 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4573 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4573 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4573 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : sam list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1189321094) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 1189321094 download finish for photo 1189321094 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.5233473777770996 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! WARNING : we have an input that is not a photo, we should get rid of it Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:sam Wed Feb 12 00:36:54 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1739317013_828525_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094} map_photo_id_path_extension : {1189321094: {'path': 'temp/1739317013_828525_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}} map_subphoto_mainphoto : {} Beginning of datou step sam ! pht : 4677 Inside sam : nb paths : 1 ERROR in datou_step_exec, will save and exit ! CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2430, in datou_step_exec return lib_process.datou_step_sam(param, json_param, args, cache, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_process.py", line 367, in datou_step_sam sam.to(device=device) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 927, in to return self._apply(convert) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply module._apply(fn) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply module._apply(fn) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply module._apply(fn) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 602, in _apply param_applied = fn(param) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 925, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) [1189321094] map_info['map_portfolio_photo'] : {} final : True mtd_id 4573 list_pids : [1189321094] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4573', None, '1189321094', "[>, , , , , 'CUDA error: out of memory\\nCUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.\\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.2936422824859619 save_final ERROR in last step sam, CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. time spend for datou_step_exec : 3.4853575229644775 time spend to save output : 0.2947826385498047 total time spend for step 0 : 3.7801401615142822 need to delete datou_research and reload, so keep current state 1 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : None ERROR nb objects espect : 98 nb_objects detect : 0 ERROR sam FAILED ############################### TEST frcnn ################################ test frcnn Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4184 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4184 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4184 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4184 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : frcnn list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (917754606) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 917754606 download finish for photo 917754606 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.14395689964294434 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:frcnn Wed Feb 12 00:36:58 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1739317018_828525_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606} map_photo_id_path_extension : {917754606: {'path': 'temp/1739317018_828525_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Faster rcnn ! classes : ['background', 'plaque'] pht : 4370 caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 3375, 'mtr_user_id': 31, 'name': 'detection_plaque_valcor_010622', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,plaque', 'svm_portfolios_learning': '0,0', 'photo_hashtag_type': 4370, 'photo_desc_type': 5676, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0'} To loadFromThcl() model_param file didn't exist model_name : detection_plaque_valcor_010622 model_type : caffe_faster_rcnn list file need : ['caffemodel', 'test.prototxt'] file exist in s3 : ['caffemodel', 'test.prototxt'] file manque in s3 : [] WARNING: Logging before InitGoogleLogging() is written to STDERR E0212 00:36:59.274129 828525 common.cpp:114] Cannot create Cublas handle. Cublas won't be available. E0212 00:36:59.277304 828525 common.cpp:121] Cannot create Curand generator. Curand won't be available. F0212 00:36:59.294261 828525 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** Command terminated by signal 6 24.35user 16.27system 1:32.03elapsed 44%CPU (0avgtext+0avgdata 2384564maxresident)k 3107456inputs+4160outputs (11224major+1499431minor)pagefaults 0swaps