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 : 3185 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 : 0.10880303382873535 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 Tue Apr 22 00:35:29 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 : 3185 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 2025-04-22 00:35:33.077191: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-22 00:35:33.115203: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-22 00:35:33.117646: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7f44000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:35:33.117693: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-22 00:35:33.124136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-22 00:35:33.412246: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3d684460 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:35:33.412316: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-22 00:35:33.413742: 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 2025-04-22 00:35:33.414533: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:33.442280: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:33.461589: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:33.464035: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:33.496161: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:33.500614: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:33.552683: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:33.553867: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:33.554282: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:33.555679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:35:33.555698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:35:33.555707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:35:33.556939: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2733 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 2025-04-22 00:35:34.255847: 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 2025-04-22 00:35:34.255918: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:34.255935: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:34.255950: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:34.255965: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:34.255980: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:34.256004: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:34.256019: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:34.256848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:34.257717: 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 2025-04-22 00:35:34.257743: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:34.257757: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:34.257770: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:34.257783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:34.257796: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:34.257809: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:34.257822: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:34.258585: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:34.258610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:35:34.258618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:35:34.258625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:35:34.259489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2733 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 : [] 2025-04-22 00:35:42.912528: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:43.085169: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:45.138167: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.338228: 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. 2025-04-22 00:35:45.339508: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.339540: 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. 2025-04-22 00:35:45.347812: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.347859: 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. 2025-04-22 00:35:45.348640: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.348655: 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. 2025-04-22 00:35:45.355122: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.355142: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB 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. 2025-04-22 00:35:45.355664: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.355679: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB 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. 2025-04-22 00:35:45.386101: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.386125: 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. 2025-04-22 00:35:45.386642: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.386656: 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. 2025-04-22 00:35:45.392394: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.392412: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB 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. 2025-04-22 00:35:45.392939: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.392953: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB 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. 2025-04-22 00:35:45.426420: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.427029: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.428871: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.429402: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.472648: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.473241: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.475349: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.475930: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.483028: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.483604: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.488038: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.488615: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.500005: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.500541: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.502088: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.502618: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.509880: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.510418: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.512181: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.512752: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.519512: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.520097: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.521737: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.522318: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.552988: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.553540: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.554074: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.554607: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.558861: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.559459: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.578435: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.579049: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.579628: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.580202: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.594937: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.595520: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.596092: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.596663: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.601333: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.601866: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.606785: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.607430: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.621005: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.621545: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.626075: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.626641: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.627224: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.627800: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.651192: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.651733: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.652279: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.652810: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.653340: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.653869: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.668771: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.669343: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.702712: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.702794: 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. 2025-04-22 00:35:45.703855: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.704923: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.712025: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.712810: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.720914: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.721447: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.742596: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.743737: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.744464: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.744992: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.748949: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.749528: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.750100: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.750633: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.752572: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.761675: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.762200: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.772342: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.772882: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.773429: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.774000: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.774556: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:35:45.775090: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.17G (2330853376 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 82072 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1771 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 : 2964 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 : 0.0006260871887207031 nb_pixel_total : 15551 time to create 1 rle with old method : 0.016959190368652344 length of segment : 256 time for calcul the mask position with numpy : 0.002828359603881836 nb_pixel_total : 145329 time to create 1 rle with old method : 0.15089941024780273 length of segment : 371 time for calcul the mask position with numpy : 0.00023555755615234375 nb_pixel_total : 14254 time to create 1 rle with old method : 0.01538848876953125 length of segment : 151 time for calcul the mask position with numpy : 0.0001125335693359375 nb_pixel_total : 5613 time to create 1 rle with old method : 0.006546497344970703 length of segment : 48 time for calcul the mask position with numpy : 5.173683166503906e-05 nb_pixel_total : 1825 time to create 1 rle with old method : 0.0023114681243896484 length of segment : 39 time spent for convertir_results : 1.0445637702941895 time spend for datou_step_exec : 21.015695333480835 time spend to save output : 6.723403930664062e-05 total time spend for step 1 : 21.01576256752014 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 Catched exception ! Connect or reconnect ! batch 1 Loaded 3327 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 : 0.024931907653808594 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, 0.99548703, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (127, 30, 27), (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), (2, 252, 23), (2, 253, 23), (2, 254, 23), (2, 255, 23), (2, 256, 23), (2, 257, 23), (2, 258, 23), (2, 259, 23), (2, 260, 23), (2, 261, 23), (3, 262, 22), (3, 263, 22), (3, 264, 22), (3, 265, 22), (4, 266, 21), (4, 267, 21), (5, 268, 20), (5, 269, 20), (6, 270, 19), (7, 271, 17), (8, 272, 16), (8, 273, 16), (9, 274, 13), (11, 275, 9), (15, 276, 2)], ['16,276,8,273,2,261,2,229,1,228,1,114,2,113,2,82,1,81,1,46,3,37,8,32,20,32,21,33,58,33,59,34,75,34,76,35,102,35,114,33,120,31,130,30,135,27,145,26,152,29,158,35,158,48,154,54,141,58,128,61,119,67,105,81,103,86,96,94,89,98,81,109,71,119,65,132,60,138,52,151,45,158,40,166,34,172,29,188,26,193,25,200,25,219,24,232,24,270,23,273']), (957285035, 492601069, 445, 29, 591, 24, 419, 0.99238116, [(315, 37, 25), (272, 38, 86), (253, 39, 130), (238, 40, 151), (199, 41, 196), (189, 42, 213), (180, 43, 238), (175, 44, 250), (172, 45, 257), (169, 46, 265), (166, 47, 274), (162, 48, 284), (159, 49, 294), (157, 50, 304), (155, 51, 310), (153, 52, 317), (151, 53, 323), (149, 54, 330), (148, 55, 334), (146, 56, 337), (144, 57, 341), (142, 58, 344), (140, 59, 347), (138, 60, 350), (136, 61, 353), (134, 62, 356), (132, 63, 358), (130, 64, 361), (128, 65, 364), (126, 66, 367), (124, 67, 370), (122, 68, 373), (120, 69, 376), (118, 70, 379), (117, 71, 381), (115, 72, 385), (114, 73, 387), (113, 74, 389), (112, 75, 391), (112, 76, 393), (111, 77, 395), (110, 78, 397), (109, 79, 399), (109, 80, 400), (108, 81, 402), (107, 82, 404), (107, 83, 404), (106, 84, 406), (105, 85, 408), (105, 86, 409), (104, 87, 410), (104, 88, 411), (103, 89, 413), (102, 90, 415), (101, 91, 417), (100, 92, 420), (98, 93, 423), (97, 94, 426), (96, 95, 428), (94, 96, 431), (93, 97, 433), (92, 98, 435), (91, 99, 437), (90, 100, 439), (89, 101, 441), (89, 102, 441), (89, 103, 442), (89, 104, 443), (89, 105, 444), (89, 106, 444), (89, 107, 445), (89, 108, 446), (89, 109, 447), (89, 110, 448), (89, 111, 449), (89, 112, 450), (89, 113, 451), (89, 114, 453), (89, 115, 454), (89, 116, 455), (88, 117, 456), (88, 118, 457), (87, 119, 459), (87, 120, 459), (86, 121, 461), (85, 122, 462), (85, 123, 463), (84, 124, 464), (84, 125, 465), (83, 126, 466), (82, 127, 468), (82, 128, 468), (81, 129, 470), (80, 130, 471), (78, 131, 473), (76, 132, 476), (75, 133, 477), (73, 134, 480), (71, 135, 482), (70, 136, 484), (68, 137, 486), (67, 138, 488), (65, 139, 490), (64, 140, 492), (63, 141, 493), (61, 142, 496), (60, 143, 497), (59, 144, 499), (58, 145, 501), (58, 146, 501), (57, 147, 503), (57, 148, 504), (57, 149, 505), (56, 150, 507), (56, 151, 507), (55, 152, 509), (55, 153, 510), (54, 154, 511), (54, 155, 512), (54, 156, 513), (53, 157, 514), (53, 158, 514), (52, 159, 515), (52, 160, 516), (52, 161, 516), (51, 162, 517), (51, 163, 517), (50, 164, 518), (50, 165, 518), (49, 166, 519), (49, 167, 520), (48, 168, 521), (48, 169, 521), (47, 170, 522), (47, 171, 522), (46, 172, 523), (46, 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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)], ['492,42,488,42,487,41,480,41,476,37,475,34,473,32,469,25,465,21,461,20,457,16,457,10,466,9,470,12,474,13,476,11,480,10,482,8,500,8,501,9,524,9,525,10,528,10,532,12,539,12,542,15,545,15,545,19,535,20,534,21,529,21,525,23,523,23,513,30,512,30,504,37,496,41,493,41'])], 'temp/1745274928_81661_957285035_a42482e51c93c8025d243dd179aee85b.jpg']} free memory after detection : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2964 ############################### 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 : 0.14647197723388672 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 Tue Apr 22 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 : 2964 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-22 00:35:59.122985: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-22 00:35:59.151257: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-22 00:35:59.153362: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7f40000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:35:59.153415: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-22 00:35:59.157298: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-22 00:35:59.438271: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3df6cd90 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:35:59.438340: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-22 00:35:59.439537: 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 2025-04-22 00:35:59.441008: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:59.465196: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:59.476963: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:59.479758: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:59.507875: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:59.512784: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:59.522261: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:59.523523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:59.523616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:59.524268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:35:59.524288: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:35:59.524299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:35:59.525402: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2512 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. 2025-04-22 00:35:59.629382: 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 2025-04-22 00:35:59.629480: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:59.629507: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:59.629531: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:59.629555: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:59.629578: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:59.629601: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:59.629628: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:59.630647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:59.631683: 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 2025-04-22 00:35:59.631718: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:35:59.631736: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:35:59.631752: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:35:59.631768: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:35:59.631795: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:35:59.631812: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:35:59.631828: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:35:59.632649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:35:59.632679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:35:59.632687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:35:59.632694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:35:59.633545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2512 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 : [] 2025-04-22 00:36:08.713401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:36:08.949266: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:36:10.400249: 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. 2025-04-22 00:36:10.400316: 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. 2025-04-22 00:36:10.406817: 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. 2025-04-22 00:36:10.406841: 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. 2025-04-22 00:36:10.458290: 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. 2025-04-22 00:36:10.458360: 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. 2025-04-22 00:36:10.500222: 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. 2025-04-22 00:36:10.500263: 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. 2025-04-22 00:36:10.550808: 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. 2025-04-22 00:36:10.550848: 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. 2025-04-22 00:36:10.552896: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.45G (1562247168 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.553366: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.31G (1406022400 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.553820: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.18G (1265420288 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.553833: 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. 2025-04-22 00:36:10.568598: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.569557: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.577160: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.578067: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.582438: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.582992: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.593314: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.593852: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.595336: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.595872: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.601426: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.601928: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.603669: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.604208: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.609717: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.610254: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.611759: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.612294: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.639588: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.640474: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.641304: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.642148: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.646477: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.647347: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.664331: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.665217: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.666041: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.666863: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.680038: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.680936: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.681765: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.682589: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.687754: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.688619: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.693928: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.694850: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.707440: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.708156: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.712405: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.712948: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.713448: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.713950: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.735593: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.736236: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.736828: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.737370: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.737910: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.738456: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.754043: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.754657: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.774697: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.774828: 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. 2025-04-22 00:36:10.775468: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.776075: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.784900: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.786129: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.795547: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.796447: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.817202: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.818022: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.818750: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.819482: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.823739: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.824355: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.824934: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.825503: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.826859: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.837443: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.838110: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.848967: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.849621: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.850182: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.850727: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.851327: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-22 00:36:10.851881: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.95G (2099118080 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 83850 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 972 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 : 2165 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 : 0.0006725788116455078 nb_pixel_total : 16902 time to create 1 rle with old method : 0.02483820915222168 length of segment : 107 time for calcul the mask position with numpy : 0.13885998725891113 nb_pixel_total : 480744 time to create 1 rle with new method : 0.0379483699798584 length of segment : 632 time for calcul the mask position with numpy : 0.0005745887756347656 nb_pixel_total : 36642 time to create 1 rle with old method : 0.04120779037475586 length of segment : 133 time for calcul the mask position with numpy : 0.00010538101196289062 nb_pixel_total : 4794 time to create 1 rle with old method : 0.0057621002197265625 length of segment : 51 time spent for convertir_results : 0.4342026710510254 time spend for datou_step_exec : 18.646255254745483 time spend to save output : 7.319450378417969e-05 total time spend for step 1 : 18.646328449249268 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 419 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 : 0.10323286056518555 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, 0.99883646, [(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, 0.9977483, [(711, 22, 21), (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, 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638, 295), (395, 639, 282), (401, 640, 270), (408, 641, 256), (416, 642, 240), (432, 643, 216), (448, 644, 193), (465, 645, 169), (480, 646, 148), (495, 647, 126), (511, 648, 104), (526, 649, 82), (565, 650, 9)], ['526,649,416,642,341,627,289,606,263,599,220,577,186,566,144,539,102,509,91,496,70,447,63,388,65,329,86,265,91,237,101,216,134,183,187,156,225,151,252,141,343,123,358,116,416,103,493,45,527,36,608,23,754,24,893,24,925,22,996,23,1032,27,1066,41,1082,52,1089,72,1088,172,1082,237,1045,305,1019,322,1002,338,950,373,885,432,865,446,851,473,830,493,810,528,786,554,773,585,714,624,683,638,607,649']), (917855882, 492601069, 445, 0, 440, 0, 116, 0.9919367, [(127, 1, 141), (94, 2, 206), (384, 2, 2), (59, 3, 273), (340, 3, 57), (22, 4, 381), (19, 5, 387), (16, 6, 392), (15, 7, 394), (14, 8, 396), (14, 9, 397), (13, 10, 399), (12, 11, 400), (12, 12, 400), (11, 13, 402), (10, 14, 403), (11, 15, 403), (11, 16, 404), (12, 17, 403), (12, 18, 404), (12, 19, 405), (12, 20, 405), (12, 21, 406), (12, 22, 406), (12, 23, 407), (12, 24, 407), (12, 25, 408), (12, 26, 408), (12, 27, 408), (12, 28, 408), (12, 29, 409), (12, 30, 409), (12, 31, 409), (12, 32, 409), (12, 33, 409), (12, 34, 410), (12, 35, 410), (12, 36, 410), (12, 37, 410), (12, 38, 410), (12, 39, 410), (12, 40, 410), (12, 41, 411), (12, 42, 411), (12, 43, 411), (12, 44, 411), (12, 45, 411), (12, 46, 410), (12, 47, 410), (12, 48, 410), (12, 49, 410), (12, 50, 410), (12, 51, 410), (12, 52, 409), (12, 53, 408), (12, 54, 408), (12, 55, 407), (12, 56, 406), (12, 57, 404), (12, 58, 403), (11, 59, 403), (11, 60, 402), (11, 61, 401), (11, 62, 400), (11, 63, 400), (11, 64, 399), (11, 65, 398), (11, 66, 397), (11, 67, 397), (11, 68, 396), (11, 69, 395), (11, 70, 395), (11, 71, 394), (11, 72, 394), (11, 73, 394), (11, 74, 393), (11, 75, 393), (11, 76, 393), (11, 77, 393), (11, 78, 393), (11, 79, 393), (11, 80, 392), (10, 81, 394), (10, 82, 394), (10, 83, 395), (9, 84, 396), (9, 85, 262), (279, 85, 126), (9, 86, 75), (98, 86, 28), (142, 86, 117), (292, 86, 112), (9, 87, 71), (152, 87, 103), (294, 87, 110), (8, 88, 68), (161, 88, 91), (296, 88, 107), (8, 89, 63), (176, 89, 73), (297, 89, 106), (7, 90, 61), (205, 90, 40), (298, 90, 104), (7, 91, 57), (299, 91, 103), (6, 92, 54), (300, 92, 102), (6, 93, 50), (301, 93, 100), (7, 94, 46), (303, 94, 97), (7, 95, 44), (306, 95, 92), (7, 96, 42), (308, 96, 89), (7, 97, 40), (310, 97, 86), (7, 98, 38), (312, 98, 83), (8, 99, 34), (314, 99, 79), (8, 100, 32), (317, 100, 75), (8, 101, 29), (319, 101, 71), (13, 102, 19), (324, 102, 63), (20, 103, 6), (330, 103, 51), (337, 104, 37), (344, 105, 22), (352, 106, 3)], ['344,105,319,101,301,93,291,85,259,85,244,90,205,90,204,89,176,89,161,88,141,85,126,85,125,86,98,86,84,85,56,92,36,101,26,102,8,101,6,92,11,80,11,59,12,58,12,17,10,14,16,6,22,4,58,4,59,3,93,3,94,2,126,2,127,1,267,1,268,2,331,3,396,3,407,6,411,10,419,25,421,34,421,51,410,62,404,71,402,80,404,85,401,92,394,98,386,102,365,105']), (917855882, 492601069, 445, 390, 550, 0, 54, 0.93913704, [(414, 0, 7), (441, 0, 60), (508, 0, 28), (402, 1, 142), (401, 2, 146), (402, 3, 145), (404, 4, 143), (406, 5, 140), (408, 6, 137), (410, 7, 134), (411, 8, 132), (412, 9, 130), (413, 10, 127), (414, 11, 125), (415, 12, 123), (415, 13, 122), (416, 14, 120), (417, 15, 117), (417, 16, 116), (418, 17, 114), (418, 18, 113), (418, 19, 111), (418, 20, 109), (419, 21, 107), (419, 22, 105), (419, 23, 103), (419, 24, 102), (419, 25, 100), (420, 26, 97), (420, 27, 95), (420, 28, 94), (421, 29, 91), (421, 30, 90), (422, 31, 88), (422, 32, 88), (422, 33, 87), (423, 34, 84), (423, 35, 82), (423, 36, 81), (424, 37, 79), (424, 38, 77), (424, 39, 75), (424, 40, 73), (424, 41, 71), (425, 42, 67), (425, 43, 66), (426, 44, 62), (426, 45, 6), (433, 45, 52), (443, 46, 30), (450, 47, 1)], ['450,47,449,46,443,46,442,45,426,45,424,41,424,37,423,36,422,31,419,25,419,21,418,20,418,17,417,15,409,6,402,3,402,1,413,1,414,0,420,0,421,1,440,1,441,0,500,0,501,1,507,1,508,0,535,0,536,1,543,1,546,2,546,4,542,8,530,18,527,19,525,21,522,22,520,24,512,28,508,33,505,34,502,37,494,41,492,41,490,43,488,43,484,45,473,45,472,46,451,46'])], 'temp/1745274955_81661_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 : 0.2326204776763916 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 Tue Apr 22 00:36:16 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 : 2015 wait 20 seconds l 3637 free memory gpu now : 2015 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-22 00:36:39.756989: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-22 00:36:39.787531: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-22 00:36:39.789716: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7f40000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:36:39.789809: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-22 00:36:39.797416: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-22 00:36:40.002319: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3e766550 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-22 00:36:40.002404: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-22 00:36:40.003377: 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 2025-04-22 00:36:40.003870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:36:40.006222: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:36:40.008709: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:36:40.009202: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:36:40.012062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:36:40.013519: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:36:40.018751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:36:40.020026: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:36:40.020176: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:36:40.020747: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:36:40.020770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:36:40.020782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:36:40.021595: 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. 2025-04-22 00:36:40.111765: 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 2025-04-22 00:36:40.111932: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:36:40.111962: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:36:40.111987: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:36:40.112011: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:36:40.112030: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:36:40.112046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:36:40.112063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:36:40.112881: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:36:40.113906: 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 2025-04-22 00:36:40.113954: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-22 00:36:40.113972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-22 00:36:40.113988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-22 00:36:40.114004: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-22 00:36:40.114019: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-22 00:36:40.114035: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-22 00:36:40.114051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-22 00:36:40.114775: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-22 00:36:40.114820: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-22 00:36:40.114831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-22 00:36:40.114839: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-22 00:36:40.115614: 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) 2025-04-22 00:36:52.203672: 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. 2025-04-22 00:36:52.203797: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc 2025-04-22 00:36:52.203815: 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. 2025-04-22 00:36:52.203827: 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. 2025-04-22 00:36:52.203839: 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. 2025-04-22 00:36:52.203850: 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. 2025-04-22 00:36:52.203861: 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. 2025-04-22 00:36:52.203872: 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. 2025-04-22 00:36:52.203884: 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. 2025-04-22 00:36:52.203930: 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. 2025-04-22 00:36:52.203942: 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. 2025-04-22 00:36:52.203953: 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. 2025-04-22 00:36:52.203963: 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. 2025-04-22 00:36:52.203974: 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. 2025-04-22 00:36:52.203985: 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. 2025-04-22 00:36:52.203996: 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. 2025-04-22 00:36:52.204007: 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. 2025-04-22 00:36:52.204017: 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. 2025-04-22 00:36:52.204026: 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. 2025-04-22 00:36:52.204036: 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. 2025-04-22 00:36:52.204045: 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. 2025-04-22 00:36:52.204055: 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. 2025-04-22 00:36:52.204064: 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. 2025-04-22 00:36:52.204074: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 2025-04-22 00:36:52.204083: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 56492032 2025-04-22 00:36:52.204099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60000000 of size 2359296 next 370 2025-04-22 00:36:52.204108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60240000 of size 1048576 next 394 2025-04-22 00:36:52.204117: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f7d60340000 of size 1310720 next 388 2025-04-22 00:36:52.204126: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60480000 of size 2359296 next 387 2025-04-22 00:36:52.204134: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d606c0000 of size 1048576 next 412 2025-04-22 00:36:52.204144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d607c0000 of size 1310720 next 406 2025-04-22 00:36:52.204159: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60900000 of size 2359296 next 405 2025-04-22 00:36:52.204168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60b40000 of size 1048576 next 430 2025-04-22 00:36:52.204177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60c40000 of size 1310720 next 424 2025-04-22 00:36:52.204185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60d80000 of size 2359296 next 423 2025-04-22 00:36:52.204194: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d60fc0000 of size 1048576 next 447 2025-04-22 00:36:52.204203: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d610c0000 of size 1310720 next 441 2025-04-22 00:36:52.204211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61200000 of size 2359296 next 440 2025-04-22 00:36:52.204220: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61440000 of size 1048576 next 465 2025-04-22 00:36:52.204228: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61540000 of size 1310720 next 459 2025-04-22 00:36:52.204237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61680000 of size 2359296 next 458 2025-04-22 00:36:52.204245: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d618c0000 of size 1048576 next 483 2025-04-22 00:36:52.204254: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d619c0000 of size 1310720 next 477 2025-04-22 00:36:52.204262: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61b00000 of size 2359296 next 476 2025-04-22 00:36:52.204270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61d40000 of size 1048576 next 501 2025-04-22 00:36:52.204279: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61e40000 of size 1310720 next 495 2025-04-22 00:36:52.204288: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d61f80000 of size 2359296 next 494 2025-04-22 00:36:52.204296: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d621c0000 of size 1048576 next 519 2025-04-22 00:36:52.204305: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d622c0000 of size 1310720 next 513 2025-04-22 00:36:52.204313: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62400000 of size 2359296 next 512 2025-04-22 00:36:52.204322: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62640000 of size 1048576 next 537 2025-04-22 00:36:52.204330: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62740000 of size 1310720 next 531 2025-04-22 00:36:52.204339: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62880000 of size 2359296 next 530 2025-04-22 00:36:52.204347: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62ac0000 of size 1048576 next 555 2025-04-22 00:36:52.204356: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62bc0000 of size 1310720 next 549 2025-04-22 00:36:52.204364: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62d00000 of size 2359296 next 548 2025-04-22 00:36:52.204373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d62f40000 of size 1048576 next 572 2025-04-22 00:36:52.204381: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d63040000 of size 1310720 next 567 2025-04-22 00:36:52.204390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d63180000 of size 4587520 next 18446744073709551615 2025-04-22 00:36:52.204399: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 33554432 2025-04-22 00:36:52.204408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64000000 of size 2359296 next 245 2025-04-22 00:36:52.204416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64240000 of size 1048576 next 269 2025-04-22 00:36:52.204431: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64340000 of size 1310720 next 263 2025-04-22 00:36:52.204440: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64480000 of size 2359296 next 262 2025-04-22 00:36:52.204448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d646c0000 of size 1048576 next 287 2025-04-22 00:36:52.204457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d647c0000 of size 1310720 next 281 2025-04-22 00:36:52.204465: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64900000 of size 2359296 next 280 2025-04-22 00:36:52.204474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64b40000 of size 1048576 next 304 2025-04-22 00:36:52.204482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64c40000 of size 1310720 next 298 2025-04-22 00:36:52.204491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64d80000 of size 2359296 next 297 2025-04-22 00:36:52.204499: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d64fc0000 of size 1048576 next 322 2025-04-22 00:36:52.204508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d650c0000 of size 1310720 next 316 2025-04-22 00:36:52.204516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65200000 of size 2359296 next 315 2025-04-22 00:36:52.204525: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65440000 of size 1048576 next 340 2025-04-22 00:36:52.204533: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65540000 of size 1310720 next 334 2025-04-22 00:36:52.204542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65680000 of size 2359296 next 333 2025-04-22 00:36:52.204551: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d658c0000 of size 1048576 next 358 2025-04-22 00:36:52.204559: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d659c0000 of size 1310720 next 352 2025-04-22 00:36:52.204568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65b00000 of size 2359296 next 351 2025-04-22 00:36:52.204576: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65d40000 of size 1048576 next 376 2025-04-22 00:36:52.204585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d65e40000 of size 1835008 next 18446744073709551615 2025-04-22 00:36:52.204593: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216 2025-04-22 00:36:52.204602: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66000000 of size 2359296 next 181 2025-04-22 00:36:52.204611: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66240000 of size 2097152 next 196 2025-04-22 00:36:52.204620: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66440000 of size 1048576 next 216 2025-04-22 00:36:52.204628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66540000 of size 1310720 next 209 2025-04-22 00:36:52.204637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66680000 of size 2359296 next 208 2025-04-22 00:36:52.204645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d668c0000 of size 1048576 next 234 2025-04-22 00:36:52.204654: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d669c0000 of size 1310720 next 228 2025-04-22 00:36:52.204662: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66b00000 of size 2359296 next 227 2025-04-22 00:36:52.204671: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d66d40000 of size 2883584 next 18446744073709551615 2025-04-22 00:36:52.204680: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152 2025-04-22 00:36:52.204689: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68600000 of size 147456 next 55 2025-04-22 00:36:52.204698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68624000 of size 65536 next 78 2025-04-22 00:36:52.204712: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68634000 of size 4096 next 191 2025-04-22 00:36:52.204721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68635000 of size 4096 next 192 2025-04-22 00:36:52.204730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68636000 of size 4096 next 193 2025-04-22 00:36:52.204739: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68637000 of size 256 next 194 2025-04-22 00:36:52.204747: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68637100 of size 256 next 195 2025-04-22 00:36:52.204756: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68637200 of size 4096 next 197 2025-04-22 00:36:52.204764: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68638200 of size 4096 next 198 2025-04-22 00:36:52.204773: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68639200 of size 4096 next 199 2025-04-22 00:36:52.204782: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863a200 of size 4096 next 200 2025-04-22 00:36:52.204790: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863b200 of size 4096 next 201 2025-04-22 00:36:52.204799: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863c200 of size 1024 next 202 2025-04-22 00:36:52.204808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863c600 of size 1024 next 204 2025-04-22 00:36:52.204816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863ca00 of size 1024 next 205 2025-04-22 00:36:52.204825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863ce00 of size 1024 next 206 2025-04-22 00:36:52.204834: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863d200 of size 1024 next 207 2025-04-22 00:36:52.204842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863d600 of size 1024 next 210 2025-04-22 00:36:52.204851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863da00 of size 1024 next 211 2025-04-22 00:36:52.204859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863de00 of size 1024 next 212 2025-04-22 00:36:52.204868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863e200 of size 1024 next 213 2025-04-22 00:36:52.204876: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863e600 of size 1024 next 214 2025-04-22 00:36:52.204885: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863ea00 of size 4096 next 215 2025-04-22 00:36:52.204894: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6863fa00 of size 4096 next 217 2025-04-22 00:36:52.204902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68640a00 of size 4096 next 218 2025-04-22 00:36:52.204911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68641a00 of size 4096 next 219 2025-04-22 00:36:52.204919: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68642a00 of size 4096 next 220 2025-04-22 00:36:52.204928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68643a00 of size 1024 next 221 2025-04-22 00:36:52.204936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68643e00 of size 1024 next 223 2025-04-22 00:36:52.204945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68644200 of size 1024 next 224 2025-04-22 00:36:52.204953: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68644600 of size 1024 next 225 2025-04-22 00:36:52.204962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68644a00 of size 1024 next 226 2025-04-22 00:36:52.204971: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68644e00 of size 1024 next 229 2025-04-22 00:36:52.204979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68645200 of size 1024 next 230 2025-04-22 00:36:52.204994: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68645600 of size 1024 next 231 2025-04-22 00:36:52.205002: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68645a00 of size 1024 next 232 2025-04-22 00:36:52.205011: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68645e00 of size 1024 next 233 2025-04-22 00:36:52.205019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68646200 of size 7680 next 72 2025-04-22 00:36:52.205028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68648000 of size 147456 next 71 2025-04-22 00:36:52.205037: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6866c000 of size 131072 next 87 2025-04-22 00:36:52.205045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868c000 of size 4096 next 289 2025-04-22 00:36:52.205054: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868d000 of size 4096 next 290 2025-04-22 00:36:52.205063: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868e000 of size 4096 next 291 2025-04-22 00:36:52.205071: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868f000 of size 1024 next 292 2025-04-22 00:36:52.205080: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868f400 of size 1024 next 293 2025-04-22 00:36:52.205088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868f800 of size 1024 next 294 2025-04-22 00:36:52.205097: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6868fc00 of size 1024 next 295 2025-04-22 00:36:52.205105: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68690000 of size 1024 next 296 2025-04-22 00:36:52.205114: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68690400 of size 1024 next 299 2025-04-22 00:36:52.205123: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68690800 of size 1024 next 300 2025-04-22 00:36:52.205131: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68690c00 of size 1024 next 301 2025-04-22 00:36:52.205140: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68691000 of size 1024 next 302 2025-04-22 00:36:52.205148: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68691400 of size 1024 next 303 2025-04-22 00:36:52.205157: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68691800 of size 4096 next 305 2025-04-22 00:36:52.205165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68692800 of size 4096 next 306 2025-04-22 00:36:52.205174: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68693800 of size 4096 next 307 2025-04-22 00:36:52.205182: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68694800 of size 4096 next 308 2025-04-22 00:36:52.205191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68695800 of size 4096 next 309 2025-04-22 00:36:52.205199: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68696800 of size 1024 next 310 2025-04-22 00:36:52.205208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68696c00 of size 1024 next 311 2025-04-22 00:36:52.205217: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68697000 of size 1024 next 312 2025-04-22 00:36:52.205225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68697400 of size 1024 next 313 2025-04-22 00:36:52.205234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68697800 of size 1024 next 314 2025-04-22 00:36:52.205242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68697c00 of size 1024 next 317 2025-04-22 00:36:52.205251: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68698000 of size 1024 next 318 2025-04-22 00:36:52.205259: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68698400 of size 1024 next 319 2025-04-22 00:36:52.205273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68698800 of size 1024 next 320 2025-04-22 00:36:52.205282: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68698c00 of size 1024 next 321 2025-04-22 00:36:52.205291: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68699000 of size 4096 next 323 2025-04-22 00:36:52.205299: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869a000 of size 4096 next 324 2025-04-22 00:36:52.205308: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869b000 of size 4096 next 325 2025-04-22 00:36:52.205316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869c000 of size 4096 next 326 2025-04-22 00:36:52.205325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869d000 of size 4096 next 327 2025-04-22 00:36:52.205334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869e000 of size 1024 next 328 2025-04-22 00:36:52.205342: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869e400 of size 1024 next 329 2025-04-22 00:36:52.205351: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869e800 of size 1024 next 330 2025-04-22 00:36:52.205359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869ec00 of size 1024 next 331 2025-04-22 00:36:52.205368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869f000 of size 1024 next 332 2025-04-22 00:36:52.205377: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869f400 of size 1024 next 335 2025-04-22 00:36:52.205385: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869f800 of size 1024 next 336 2025-04-22 00:36:52.205394: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6869fc00 of size 1024 next 337 2025-04-22 00:36:52.205402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a0000 of size 1024 next 338 2025-04-22 00:36:52.205411: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a0400 of size 1024 next 339 2025-04-22 00:36:52.205419: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a0800 of size 4096 next 341 2025-04-22 00:36:52.205428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a1800 of size 4096 next 342 2025-04-22 00:36:52.205436: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a2800 of size 4096 next 343 2025-04-22 00:36:52.205445: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a3800 of size 4096 next 344 2025-04-22 00:36:52.205453: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a4800 of size 4096 next 345 2025-04-22 00:36:52.205462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a5800 of size 1024 next 346 2025-04-22 00:36:52.205471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a5c00 of size 1024 next 347 2025-04-22 00:36:52.205479: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a6000 of size 1024 next 348 2025-04-22 00:36:52.205488: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a6400 of size 1024 next 349 2025-04-22 00:36:52.205496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a6800 of size 1024 next 350 2025-04-22 00:36:52.205505: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a6c00 of size 1024 next 353 2025-04-22 00:36:52.205514: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a7000 of size 1024 next 354 2025-04-22 00:36:52.205522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a7400 of size 1024 next 355 2025-04-22 00:36:52.205531: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a7800 of size 1024 next 356 2025-04-22 00:36:52.205539: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a7c00 of size 1024 next 357 2025-04-22 00:36:52.205548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a8000 of size 4096 next 359 2025-04-22 00:36:52.205563: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686a9000 of size 4096 next 360 2025-04-22 00:36:52.205571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686aa000 of size 4096 next 361 2025-04-22 00:36:52.205580: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ab000 of size 4096 next 362 2025-04-22 00:36:52.205588: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ac000 of size 4096 next 363 2025-04-22 00:36:52.205597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ad000 of size 1024 next 364 2025-04-22 00:36:52.205605: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ad400 of size 1024 next 365 2025-04-22 00:36:52.205614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ad800 of size 1024 next 366 2025-04-22 00:36:52.205622: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686adc00 of size 1024 next 367 2025-04-22 00:36:52.205631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ae000 of size 1024 next 368 2025-04-22 00:36:52.205639: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ae400 of size 1024 next 371 2025-04-22 00:36:52.205648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ae800 of size 1024 next 372 2025-04-22 00:36:52.205657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686aec00 of size 1024 next 373 2025-04-22 00:36:52.205665: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686af000 of size 1024 next 374 2025-04-22 00:36:52.205674: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686af400 of size 1024 next 375 2025-04-22 00:36:52.205683: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686af800 of size 4096 next 377 2025-04-22 00:36:52.205691: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b0800 of size 4096 next 378 2025-04-22 00:36:52.205700: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b1800 of size 4096 next 379 2025-04-22 00:36:52.205708: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b2800 of size 4096 next 380 2025-04-22 00:36:52.205717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b3800 of size 4096 next 381 2025-04-22 00:36:52.205726: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b4800 of size 1024 next 382 2025-04-22 00:36:52.205734: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b4c00 of size 1024 next 383 2025-04-22 00:36:52.205743: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b5000 of size 1024 next 384 2025-04-22 00:36:52.205751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b5400 of size 1024 next 385 2025-04-22 00:36:52.205760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b5800 of size 1024 next 386 2025-04-22 00:36:52.205768: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b5c00 of size 1024 next 389 2025-04-22 00:36:52.205777: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b6000 of size 1024 next 390 2025-04-22 00:36:52.205785: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b6400 of size 1024 next 391 2025-04-22 00:36:52.205794: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b6800 of size 1024 next 392 2025-04-22 00:36:52.205803: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b6c00 of size 1024 next 393 2025-04-22 00:36:52.205811: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b7000 of size 4096 next 395 2025-04-22 00:36:52.205820: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b8000 of size 4096 next 396 2025-04-22 00:36:52.205828: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686b9000 of size 4096 next 397 2025-04-22 00:36:52.205842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ba000 of size 4096 next 398 2025-04-22 00:36:52.205851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bb000 of size 4096 next 399 2025-04-22 00:36:52.205859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bc000 of size 1024 next 400 2025-04-22 00:36:52.205868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bc400 of size 1024 next 401 2025-04-22 00:36:52.205876: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bc800 of size 1024 next 402 2025-04-22 00:36:52.205885: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bcc00 of size 1024 next 403 2025-04-22 00:36:52.205893: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bd000 of size 1024 next 404 2025-04-22 00:36:52.205902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bd400 of size 1024 next 407 2025-04-22 00:36:52.205911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bd800 of size 1024 next 408 2025-04-22 00:36:52.205919: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bdc00 of size 1024 next 409 2025-04-22 00:36:52.205928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686be000 of size 1024 next 410 2025-04-22 00:36:52.205936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686be400 of size 1024 next 411 2025-04-22 00:36:52.205945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686be800 of size 4096 next 413 2025-04-22 00:36:52.205953: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686bf800 of size 4096 next 414 2025-04-22 00:36:52.205962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c0800 of size 4096 next 415 2025-04-22 00:36:52.205970: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c1800 of size 4096 next 416 2025-04-22 00:36:52.205979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c2800 of size 4096 next 417 2025-04-22 00:36:52.205987: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c3800 of size 1024 next 418 2025-04-22 00:36:52.205996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c3c00 of size 1024 next 419 2025-04-22 00:36:52.206004: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c4000 of size 1024 next 420 2025-04-22 00:36:52.206013: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c4400 of size 1024 next 421 2025-04-22 00:36:52.206022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c4800 of size 1024 next 422 2025-04-22 00:36:52.206030: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c4c00 of size 1024 next 425 2025-04-22 00:36:52.206039: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c5000 of size 1024 next 426 2025-04-22 00:36:52.206047: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c5400 of size 1024 next 427 2025-04-22 00:36:52.206056: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c5800 of size 1024 next 428 2025-04-22 00:36:52.206064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c5c00 of size 1024 next 429 2025-04-22 00:36:52.206073: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c6000 of size 4096 next 431 2025-04-22 00:36:52.206081: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c7000 of size 4096 next 432 2025-04-22 00:36:52.206090: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c8000 of size 4096 next 433 2025-04-22 00:36:52.206098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686c9000 of size 4096 next 434 2025-04-22 00:36:52.206107: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686ca000 of size 4096 next 435 2025-04-22 00:36:52.206121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686cb000 of size 1024 next 436 2025-04-22 00:36:52.206130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686cb400 of size 1024 next 437 2025-04-22 00:36:52.206139: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686cb800 of size 1024 next 438 2025-04-22 00:36:52.206147: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686cbc00 of size 1024 next 103 2025-04-22 00:36:52.206156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d686cc000 of size 262144 next 102 2025-04-22 00:36:52.206165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f7d6870c000 of size 999424 next 18446744073709551615 2025-04-22 00:36:52.206174: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304 2025-04-22 00:36:52.206183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68800000 of size 589824 next 96 2025-04-22 00:36:52.206191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68890000 of size 262144 next 117 2025-04-22 00:36:52.206200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d0000 of size 1024 next 439 2025-04-22 00:36:52.206208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d0400 of size 1024 next 442 2025-04-22 00:36:52.206217: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d0800 of size 1024 next 443 2025-04-22 00:36:52.206225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d0c00 of size 1024 next 444 2025-04-22 00:36:52.206234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d1000 of size 1024 next 445 2025-04-22 00:36:52.206242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d1400 of size 1024 next 446 2025-04-22 00:36:52.206251: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d1800 of size 4096 next 448 2025-04-22 00:36:52.206260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d2800 of size 4096 next 449 2025-04-22 00:36:52.206268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d3800 of size 4096 next 450 2025-04-22 00:36:52.206277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d4800 of size 4096 next 451 2025-04-22 00:36:52.206285: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d5800 of size 4096 next 452 2025-04-22 00:36:52.206294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d6800 of size 1024 next 453 2025-04-22 00:36:52.206302: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d6c00 of size 1024 next 454 2025-04-22 00:36:52.206311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d7000 of size 1024 next 455 2025-04-22 00:36:52.206319: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d7400 of size 1024 next 456 2025-04-22 00:36:52.206328: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d7800 of size 1024 next 457 2025-04-22 00:36:52.206336: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d7c00 of size 1024 next 460 2025-04-22 00:36:52.206345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d8000 of size 1024 next 461 2025-04-22 00:36:52.206353: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d8400 of size 1024 next 462 2025-04-22 00:36:52.206362: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d8800 of size 1024 next 463 2025-04-22 00:36:52.206371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d8c00 of size 1024 next 464 2025-04-22 00:36:52.206379: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688d9000 of size 4096 next 466 2025-04-22 00:36:52.206388: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688da000 of size 4096 next 467 2025-04-22 00:36:52.206402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688db000 of size 4096 next 468 2025-04-22 00:36:52.206411: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688dc000 of size 4096 next 469 2025-04-22 00:36:52.206419: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688dd000 of size 4096 next 470 2025-04-22 00:36:52.206428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688de000 of size 1024 next 471 2025-04-22 00:36:52.206436: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688de400 of size 1024 next 472 2025-04-22 00:36:52.206445: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688de800 of size 1024 next 473 2025-04-22 00:36:52.206453: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688dec00 of size 1024 next 474 2025-04-22 00:36:52.206462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688df000 of size 1024 next 475 2025-04-22 00:36:52.206470: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688df400 of size 1024 next 478 2025-04-22 00:36:52.206479: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688df800 of size 1024 next 479 2025-04-22 00:36:52.206487: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688dfc00 of size 1024 next 480 2025-04-22 00:36:52.206496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e0000 of size 1024 next 481 2025-04-22 00:36:52.206504: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e0400 of size 1024 next 482 2025-04-22 00:36:52.206513: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e0800 of size 4096 next 484 2025-04-22 00:36:52.206521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e1800 of size 4096 next 485 2025-04-22 00:36:52.206530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e2800 of size 4096 next 486 2025-04-22 00:36:52.206539: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e3800 of size 4096 next 487 2025-04-22 00:36:52.206547: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e4800 of size 4096 next 488 2025-04-22 00:36:52.206556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e5800 of size 1024 next 489 2025-04-22 00:36:52.206564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e5c00 of size 1024 next 490 2025-04-22 00:36:52.206573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e6000 of size 1024 next 491 2025-04-22 00:36:52.206581: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e6400 of size 1024 next 492 2025-04-22 00:36:52.206590: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e6800 of size 1024 next 493 2025-04-22 00:36:52.206598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e6c00 of size 1024 next 496 2025-04-22 00:36:52.206607: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e7000 of size 1024 next 497 2025-04-22 00:36:52.206615: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e7400 of size 1024 next 498 2025-04-22 00:36:52.206624: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e7800 of size 1024 next 499 2025-04-22 00:36:52.206632: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e7c00 of size 1024 next 500 2025-04-22 00:36:52.206641: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e8000 of size 4096 next 502 2025-04-22 00:36:52.206649: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688e9000 of size 4096 next 503 2025-04-22 00:36:52.206658: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ea000 of size 4096 next 504 2025-04-22 00:36:52.206666: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688eb000 of size 4096 next 505 2025-04-22 00:36:52.206675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ec000 of size 4096 next 506 2025-04-22 00:36:52.206690: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ed000 of size 1024 next 507 2025-04-22 00:36:52.206699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ed400 of size 1024 next 508 2025-04-22 00:36:52.206707: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ed800 of size 1024 next 509 2025-04-22 00:36:52.206715: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688edc00 of size 1024 next 510 2025-04-22 00:36:52.206724: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ee000 of size 1024 next 511 2025-04-22 00:36:52.206732: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ee400 of size 1024 next 514 2025-04-22 00:36:52.206741: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ee800 of size 1024 next 515 2025-04-22 00:36:52.206749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688eec00 of size 1024 next 516 2025-04-22 00:36:52.206758: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ef000 of size 1024 next 517 2025-04-22 00:36:52.206766: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ef400 of size 1024 next 518 2025-04-22 00:36:52.206775: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ef800 of size 4096 next 520 2025-04-22 00:36:52.206783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f0800 of size 4096 next 521 2025-04-22 00:36:52.206792: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f1800 of size 4096 next 522 2025-04-22 00:36:52.206800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f2800 of size 4096 next 523 2025-04-22 00:36:52.206809: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f3800 of size 4096 next 524 2025-04-22 00:36:52.206817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f4800 of size 1024 next 525 2025-04-22 00:36:52.206826: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f4c00 of size 1024 next 526 2025-04-22 00:36:52.206835: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f5000 of size 1024 next 527 2025-04-22 00:36:52.206843: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f5400 of size 1024 next 528 2025-04-22 00:36:52.206851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f5800 of size 1024 next 529 2025-04-22 00:36:52.206860: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f5c00 of size 1024 next 532 2025-04-22 00:36:52.206868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f6000 of size 1024 next 533 2025-04-22 00:36:52.206877: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f6400 of size 1024 next 534 2025-04-22 00:36:52.206885: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f6800 of size 1024 next 535 2025-04-22 00:36:52.206894: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f6c00 of size 1024 next 536 2025-04-22 00:36:52.206922: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f7000 of size 4096 next 538 2025-04-22 00:36:52.206931: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f8000 of size 4096 next 539 2025-04-22 00:36:52.206939: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688f9000 of size 4096 next 540 2025-04-22 00:36:52.206948: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fa000 of size 4096 next 541 2025-04-22 00:36:52.206956: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fb000 of size 4096 next 542 2025-04-22 00:36:52.206965: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fc000 of size 1024 next 543 2025-04-22 00:36:52.206973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fc400 of size 1024 next 544 2025-04-22 00:36:52.206988: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fc800 of size 1024 next 545 2025-04-22 00:36:52.206997: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fcc00 of size 1024 next 546 2025-04-22 00:36:52.207006: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fd000 of size 1024 next 547 2025-04-22 00:36:52.207014: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fd400 of size 1024 next 550 2025-04-22 00:36:52.207023: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fd800 of size 1024 next 551 2025-04-22 00:36:52.207031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fdc00 of size 1024 next 552 2025-04-22 00:36:52.207040: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fe000 of size 1024 next 553 2025-04-22 00:36:52.207048: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fe400 of size 1024 next 554 2025-04-22 00:36:52.207057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688fe800 of size 4096 next 556 2025-04-22 00:36:52.207065: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d688ff800 of size 4096 next 557 2025-04-22 00:36:52.207074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68900800 of size 4096 next 558 2025-04-22 00:36:52.207082: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68901800 of size 4096 next 559 2025-04-22 00:36:52.207091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68902800 of size 4096 next 560 2025-04-22 00:36:52.207099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68903800 of size 1024 next 561 2025-04-22 00:36:52.207108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68903c00 of size 1024 next 562 2025-04-22 00:36:52.207117: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68904000 of size 1024 next 563 2025-04-22 00:36:52.207125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68904400 of size 1024 next 564 2025-04-22 00:36:52.207134: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68904800 of size 1024 next 565 2025-04-22 00:36:52.207142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68904c00 of size 1024 next 566 2025-04-22 00:36:52.207151: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68905000 of size 1024 next 568 2025-04-22 00:36:52.207159: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68905400 of size 1024 next 569 2025-04-22 00:36:52.207168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68905800 of size 1024 next 570 2025-04-22 00:36:52.207176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68905c00 of size 1024 next 571 2025-04-22 00:36:52.207185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68906000 of size 4096 next 573 2025-04-22 00:36:52.207193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68907000 of size 4096 next 574 2025-04-22 00:36:52.207202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68908000 of size 4096 next 575 2025-04-22 00:36:52.207210: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68909000 of size 4096 next 576 2025-04-22 00:36:52.207219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890a000 of size 4096 next 577 2025-04-22 00:36:52.207227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890b000 of size 1024 next 578 2025-04-22 00:36:52.207236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890b400 of size 1024 next 579 2025-04-22 00:36:52.207244: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890b800 of size 1024 next 580 2025-04-22 00:36:52.207253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890bc00 of size 1024 next 581 2025-04-22 00:36:52.207268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890c000 of size 1024 next 582 2025-04-22 00:36:52.207277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d6890c400 of size 256 next 583 2025-04-22 00:36:52.207285: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f7d6890c500 of size 15104 next 112 2025-04-22 00:36:52.207294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68910000 of size 524288 next 111 2025-04-22 00:36:52.207303: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68990000 of size 262144 next 135 2025-04-22 00:36:52.207312: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d689d0000 of size 327680 next 124 2025-04-22 00:36:52.207321: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68a20000 of size 589824 next 123 2025-04-22 00:36:52.207329: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68ab0000 of size 262144 next 152 2025-04-22 00:36:52.207338: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68af0000 of size 327680 next 142 2025-04-22 00:36:52.207347: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68b40000 of size 786432 next 18446744073709551615 2025-04-22 00:36:52.207356: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608 2025-04-22 00:36:52.207364: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f7d68c00000 of size 589824 next 160 2025-04-22 00:36:52.207373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68c90000 of size 589824 next 158 2025-04-22 00:36:52.207382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68d20000 of size 524288 next 171 2025-04-22 00:36:52.207390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f7d68da0000 of size 1048576 next 222 2025-04-22 00:36:52.207399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68ea0000 of size 1048576 next 190 2025-04-22 00:36:52.207408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d68fa0000 of size 1048576 next 189 2025-04-22 00:36:52.207416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d690a0000 of size 1048576 next 203 2025-04-22 00:36:52.207425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d691a0000 of size 1048576 next 251 2025-04-22 00:36:52.207434: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7d692a0000 of size 1441792 next 18446744073709551615 2025-04-22 00:36:52.207442: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576 2025-04-22 00:36:52.207451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00000 of size 1280 next 1 2025-04-22 00:36:52.207460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00500 of size 256 next 5 2025-04-22 00:36:52.207468: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00600 of size 256 next 8 2025-04-22 00:36:52.207477: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00700 of size 256 next 9 2025-04-22 00:36:52.207486: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00800 of size 256 next 10 2025-04-22 00:36:52.207494: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00900 of size 256 next 11 2025-04-22 00:36:52.207503: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00a00 of size 256 next 12 2025-04-22 00:36:52.207511: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00b00 of size 256 next 13 2025-04-22 00:36:52.207520: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00c00 of size 256 next 17 2025-04-22 00:36:52.207528: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00d00 of size 256 next 19 2025-04-22 00:36:52.207537: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00e00 of size 256 next 20 2025-04-22 00:36:52.207551: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce00f00 of size 256 next 21 2025-04-22 00:36:52.207560: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01000 of size 256 next 22 2025-04-22 00:36:52.207568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01100 of size 256 next 24 2025-04-22 00:36:52.207577: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01200 of size 256 next 25 2025-04-22 00:36:52.207585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01300 of size 256 next 23 2025-04-22 00:36:52.207594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01400 of size 256 next 28 2025-04-22 00:36:52.207602: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01500 of size 256 next 29 2025-04-22 00:36:52.207611: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01600 of size 256 next 30 2025-04-22 00:36:52.207619: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01700 of size 256 next 31 2025-04-22 00:36:52.207628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01800 of size 256 next 33 2025-04-22 00:36:52.207637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01900 of size 256 next 34 2025-04-22 00:36:52.207645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01a00 of size 1024 next 32 2025-04-22 00:36:52.207654: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce01e00 of size 1024 next 37 2025-04-22 00:36:52.207662: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce02200 of size 1024 next 38 2025-04-22 00:36:52.207671: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce02600 of size 1024 next 39 2025-04-22 00:36:52.207679: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce02a00 of size 1024 next 40 2025-04-22 00:36:52.207688: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce02e00 of size 1024 next 41 2025-04-22 00:36:52.207696: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce03200 of size 1024 next 43 2025-04-22 00:36:52.207705: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce03600 of size 1024 next 44 2025-04-22 00:36:52.207713: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce03a00 of size 1024 next 45 2025-04-22 00:36:52.207722: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce03e00 of size 1024 next 46 2025-04-22 00:36:52.207730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04200 of size 256 next 48 2025-04-22 00:36:52.207739: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04300 of size 256 next 49 2025-04-22 00:36:52.207747: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04400 of size 256 next 50 2025-04-22 00:36:52.207756: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04500 of size 256 next 51 2025-04-22 00:36:52.207765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04600 of size 256 next 52 2025-04-22 00:36:52.207773: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04700 of size 256 next 53 2025-04-22 00:36:52.207782: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04800 of size 256 next 56 2025-04-22 00:36:52.207790: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04900 of size 256 next 57 2025-04-22 00:36:52.207799: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04a00 of size 256 next 58 2025-04-22 00:36:52.207807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04b00 of size 256 next 14 2025-04-22 00:36:52.207816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04c00 of size 256 next 15 2025-04-22 00:36:52.207824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04d00 of size 256 next 16 2025-04-22 00:36:52.207842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce04e00 of size 1024 next 60 2025-04-22 00:36:52.207851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce05200 of size 1024 next 61 2025-04-22 00:36:52.207859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce05600 of size 1024 next 62 2025-04-22 00:36:52.207868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce05a00 of size 1024 next 63 2025-04-22 00:36:52.207877: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce05e00 of size 1024 next 64 2025-04-22 00:36:52.207885: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06200 of size 256 next 66 2025-04-22 00:36:52.207894: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06300 of size 256 next 67 2025-04-22 00:36:52.207902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06400 of size 256 next 68 2025-04-22 00:36:52.207911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06500 of size 256 next 69 2025-04-22 00:36:52.207919: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06600 of size 256 next 70 2025-04-22 00:36:52.207928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06700 of size 256 next 73 2025-04-22 00:36:52.207936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06800 of size 256 next 74 2025-04-22 00:36:52.207945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06900 of size 256 next 75 2025-04-22 00:36:52.207953: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06a00 of size 256 next 76 2025-04-22 00:36:52.207962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06b00 of size 256 next 77 2025-04-22 00:36:52.207970: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce06c00 of size 1024 next 79 2025-04-22 00:36:52.207979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce07000 of size 1024 next 80 2025-04-22 00:36:52.207988: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce07400 of size 1024 next 81 2025-04-22 00:36:52.207996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce07800 of size 1024 next 82 2025-04-22 00:36:52.208005: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce07c00 of size 1024 next 83 2025-04-22 00:36:52.208013: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08000 of size 256 next 85 2025-04-22 00:36:52.208022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08100 of size 256 next 86 2025-04-22 00:36:52.208031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08200 of size 512 next 84 2025-04-22 00:36:52.208040: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08400 of size 512 next 88 2025-04-22 00:36:52.208048: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08600 of size 512 next 89 2025-04-22 00:36:52.208057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08800 of size 512 next 90 2025-04-22 00:36:52.208065: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08a00 of size 512 next 91 2025-04-22 00:36:52.208074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08c00 of size 256 next 93 2025-04-22 00:36:52.208082: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08d00 of size 256 next 94 2025-04-22 00:36:52.208091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce08e00 of size 512 next 92 2025-04-22 00:36:52.208099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09000 of size 512 next 97 2025-04-22 00:36:52.208108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09200 of size 512 next 98 2025-04-22 00:36:52.208116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09400 of size 512 next 99 2025-04-22 00:36:52.208131: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09600 of size 512 next 2 2025-04-22 00:36:52.208139: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09800 of size 256 next 3 2025-04-22 00:36:52.208148: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09900 of size 256 next 4 2025-04-22 00:36:52.208157: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce09a00 of size 16384 next 18 2025-04-22 00:36:52.208165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0da00 of size 256 next 100 2025-04-22 00:36:52.208174: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0db00 of size 256 next 101 2025-04-22 00:36:52.208182: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0dc00 of size 2048 next 104 2025-04-22 00:36:52.208191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0e400 of size 2048 next 105 2025-04-22 00:36:52.208200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0ec00 of size 2048 next 106 2025-04-22 00:36:52.208208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0f400 of size 2048 next 107 2025-04-22 00:36:52.208217: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce0fc00 of size 2048 next 108 2025-04-22 00:36:52.208225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce10400 of size 256 next 109 2025-04-22 00:36:52.208234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce10500 of size 256 next 110 2025-04-22 00:36:52.208242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce10600 of size 2048 next 113 2025-04-22 00:36:52.208251: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce10e00 of size 2048 next 114 2025-04-22 00:36:52.208259: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce11600 of size 2048 next 115 2025-04-22 00:36:52.208268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce11e00 of size 2048 next 116 2025-04-22 00:36:52.208277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce12600 of size 2048 next 6 2025-04-22 00:36:52.208286: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce12e00 of size 37632 next 7 2025-04-22 00:36:52.208294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1c100 of size 512 next 118 2025-04-22 00:36:52.208303: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1c300 of size 512 next 119 2025-04-22 00:36:52.208311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1c500 of size 512 next 120 2025-04-22 00:36:52.208320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1c700 of size 512 next 121 2025-04-22 00:36:52.208328: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1c900 of size 512 next 122 2025-04-22 00:36:52.208337: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1cb00 of size 512 next 125 2025-04-22 00:36:52.208345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1cd00 of size 512 next 126 2025-04-22 00:36:52.208354: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1cf00 of size 512 next 127 2025-04-22 00:36:52.208362: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1d100 of size 512 next 128 2025-04-22 00:36:52.208371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1d300 of size 512 next 129 2025-04-22 00:36:52.208379: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1d500 of size 2048 next 130 2025-04-22 00:36:52.208388: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1dd00 of size 2048 next 131 2025-04-22 00:36:52.208396: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1e500 of size 2048 next 132 2025-04-22 00:36:52.208411: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1ed00 of size 2048 next 133 2025-04-22 00:36:52.208419: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1f500 of size 2048 next 134 2025-04-22 00:36:52.208428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1fd00 of size 512 next 136 2025-04-22 00:36:52.208436: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce1ff00 of size 512 next 137 2025-04-22 00:36:52.208445: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20100 of size 512 next 138 2025-04-22 00:36:52.208453: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20300 of size 512 next 139 2025-04-22 00:36:52.208462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20500 of size 512 next 140 2025-04-22 00:36:52.208470: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20700 of size 512 next 141 2025-04-22 00:36:52.208479: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20900 of size 512 next 143 2025-04-22 00:36:52.208487: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20b00 of size 512 next 144 2025-04-22 00:36:52.208496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20d00 of size 512 next 145 2025-04-22 00:36:52.208504: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce20f00 of size 512 next 146 2025-04-22 00:36:52.208513: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce21100 of size 2048 next 147 2025-04-22 00:36:52.208521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce21900 of size 2048 next 148 2025-04-22 00:36:52.208530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce22100 of size 2048 next 149 2025-04-22 00:36:52.208538: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce22900 of size 2048 next 150 2025-04-22 00:36:52.208547: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce23100 of size 2048 next 151 2025-04-22 00:36:52.208555: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce23900 of size 512 next 153 2025-04-22 00:36:52.208564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce23b00 of size 512 next 154 2025-04-22 00:36:52.208573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce23d00 of size 512 next 155 2025-04-22 00:36:52.208581: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce23f00 of size 512 next 156 2025-04-22 00:36:52.208589: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24100 of size 512 next 157 2025-04-22 00:36:52.208598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24300 of size 512 next 161 2025-04-22 00:36:52.208606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24500 of size 512 next 162 2025-04-22 00:36:52.208615: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24700 of size 512 next 163 2025-04-22 00:36:52.208623: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24900 of size 512 next 164 2025-04-22 00:36:52.208632: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24b00 of size 512 next 165 2025-04-22 00:36:52.208640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce24d00 of size 2048 next 166 2025-04-22 00:36:52.208649: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce25500 of size 2048 next 167 2025-04-22 00:36:52.208657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce25d00 of size 2048 next 168 2025-04-22 00:36:52.208666: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce26500 of size 2048 next 169 2025-04-22 00:36:52.208674: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce26d00 of size 2048 next 170 2025-04-22 00:36:52.208683: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce27500 of size 1024 next 172 2025-04-22 00:36:52.208697: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce27900 of size 1024 next 173 2025-04-22 00:36:52.208706: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce27d00 of size 1024 next 174 2025-04-22 00:36:52.208714: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28100 of size 1024 next 175 2025-04-22 00:36:52.208723: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28500 of size 1024 next 176 2025-04-22 00:36:52.208731: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28900 of size 256 next 178 2025-04-22 00:36:52.208740: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28a00 of size 256 next 179 2025-04-22 00:36:52.208748: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28b00 of size 1024 next 177 2025-04-22 00:36:52.208757: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce28f00 of size 1024 next 182 2025-04-22 00:36:52.208766: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce29300 of size 1024 next 183 2025-04-22 00:36:52.208774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce29700 of size 1024 next 184 2025-04-22 00:36:52.208783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce29b00 of size 1024 next 185 2025-04-22 00:36:52.208791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce29f00 of size 256 next 187 2025-04-22 00:36:52.208800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce2a000 of size 256 next 188 2025-04-22 00:36:52.208808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce2a100 of size 4096 next 186 2025-04-22 00:36:52.208817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce2b100 of size 4096 next 42 2025-04-22 00:36:52.208825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce2c100 of size 65536 next 36 2025-04-22 00:36:52.208834: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce3c100 of size 65536 next 35 2025-04-22 00:36:52.208842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce4c100 of size 4096 next 235 2025-04-22 00:36:52.208851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce4d100 of size 4096 next 236 2025-04-22 00:36:52.208859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce4e100 of size 4096 next 237 2025-04-22 00:36:52.208868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce4f100 of size 4096 next 238 2025-04-22 00:36:52.208876: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce50100 of size 1024 next 239 2025-04-22 00:36:52.208885: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce50500 of size 1024 next 240 2025-04-22 00:36:52.208893: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce50900 of size 1024 next 241 2025-04-22 00:36:52.208902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce50d00 of size 1024 next 242 2025-04-22 00:36:52.208911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce51100 of size 1024 next 243 2025-04-22 00:36:52.208919: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce51500 of size 1024 next 246 2025-04-22 00:36:52.208928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce51900 of size 1024 next 247 2025-04-22 00:36:52.208936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce51d00 of size 1024 next 248 2025-04-22 00:36:52.208945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce52100 of size 1024 next 249 2025-04-22 00:36:52.208953: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce52500 of size 1024 next 250 2025-04-22 00:36:52.208962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce52900 of size 4096 next 252 2025-04-22 00:36:52.208976: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 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tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce58900 of size 1024 next 261 2025-04-22 00:36:52.209063: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce58d00 of size 1024 next 264 2025-04-22 00:36:52.209073: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce59100 of size 1024 next 265 2025-04-22 00:36:52.209084: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce59500 of size 1024 next 266 2025-04-22 00:36:52.209095: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce59900 of size 1024 next 267 2025-04-22 00:36:52.209106: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce59d00 of size 1024 next 268 2025-04-22 00:36:52.209117: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5a100 of size 4096 next 270 2025-04-22 00:36:52.209129: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5b100 of size 4096 next 271 2025-04-22 00:36:52.209142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5c100 of size 4096 next 272 2025-04-22 00:36:52.209154: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5d100 of size 4096 next 273 2025-04-22 00:36:52.209167: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5e100 of size 4096 next 274 2025-04-22 00:36:52.209178: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5f100 of size 1024 next 275 2025-04-22 00:36:52.209190: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5f500 of size 1024 next 276 2025-04-22 00:36:52.209201: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5f900 of size 1024 next 277 2025-04-22 00:36:52.209212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce5fd00 of size 1024 next 278 2025-04-22 00:36:52.209225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce60100 of size 1024 next 279 2025-04-22 00:36:52.209236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce60500 of size 1024 next 282 2025-04-22 00:36:52.209247: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce60900 of size 1024 next 283 2025-04-22 00:36:52.209258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce60d00 of size 1024 next 284 2025-04-22 00:36:52.209267: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce61100 of size 1024 next 285 2025-04-22 00:36:52.209275: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce61500 of size 1024 next 286 2025-04-22 00:36:52.209284: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce61900 of size 4096 next 288 2025-04-22 00:36:52.209293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce62900 of size 6144 next 27 2025-04-22 00:36:52.209302: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce64100 of size 147456 next 26 2025-04-22 00:36:52.209318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce88100 of size 65536 next 47 2025-04-22 00:36:52.209328: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ce98100 of size 65536 next 59 2025-04-22 00:36:52.209336: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9cea8100 of size 65536 next 65 2025-04-22 00:36:52.209345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7e9ceb8100 of size 294656 next 18446744073709551615 2025-04-22 00:36:52.209353: I tensorflow/core/common_runtime/bfc_allocator.cc:995] Summary of in-use Chunks by size: 2025-04-22 00:36:52.209368: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB 2025-04-22 00:36:52.209378: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB 2025-04-22 00:36:52.209388: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 245 Chunks of size 1024 totalling 245.0KiB 2025-04-22 00:36:52.209397: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB 2025-04-22 00:36:52.209406: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB 2025-04-22 00:36:52.209416: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 113 Chunks of size 4096 totalling 452.0KiB 2025-04-22 00:36:52.209425: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 6144 totalling 6.0KiB 2025-04-22 00:36:52.209434: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB 2025-04-22 00:36:52.209444: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB 2025-04-22 00:36:52.209453: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB 2025-04-22 00:36:52.209463: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB 2025-04-22 00:36:52.209472: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB 2025-04-22 00:36:52.209482: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB 2025-04-22 00:36:52.209491: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB 2025-04-22 00:36:52.209500: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB 2025-04-22 00:36:52.209510: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB 2025-04-22 00:36:52.209519: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB 2025-04-22 00:36:52.209528: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB 2025-04-22 00:36:52.209538: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB 2025-04-22 00:36:52.209547: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 1048576 totalling 24.00MiB 2025-04-22 00:36:52.209557: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 18 Chunks of size 1310720 totalling 22.50MiB 2025-04-22 00:36:52.209566: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB 2025-04-22 00:36:52.209575: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1835008 totalling 1.75MiB 2025-04-22 00:36:52.209585: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB 2025-04-22 00:36:52.209594: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 21 Chunks of size 2359296 totalling 47.25MiB 2025-04-22 00:36:52.209603: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB 2025-04-22 00:36:52.209612: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4587520 totalling 4.38MiB 2025-04-22 00:36:52.209622: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 113.09MiB 2025-04-22 00:36:52.209637: 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 2025-04-22 00:36:52.209652: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: Limit: 122552320 InUse: 118588672 MaxInUse: 118588672 NumAllocs: 1959 MaxAllocSize: 4587520 2025-04-22 00:36:52.209675: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *********************************************x****************************************************** 2025-04-22 00:36:52.209727: 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_3ffe22aa43084fd48098e0c6d2c2993c4434ab23 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_3ffe22aa43084fd48098e0c6d2c2993c4434ab23','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/April/22042025/python_test3//data_2/data_log/job/2025/April/22042025/python_test3/log-python3----short_python3--v--marlene-00:35:02.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 : 0.17026996612548828 #### 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 Tue Apr 22 00:36:52 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/1745275012_81661_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094} map_photo_id_path_extension : {1189321094: {'path': 'temp/1745275012_81661_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 : 0.013740301132202148 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 : 4.500196218490601 time spend to save output : 0.015141963958740234 total time spend for step 0 : 4.515338182449341 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 : 0.1637728214263916 #### 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 Tue Apr 22 00:36:57 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/1745275017_81661_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606} map_photo_id_path_extension : {917754606: {'path': 'temp/1745275017_81661_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 E0422 00:36:59.088569 81661 common.cpp:114] Cannot create Cublas handle. Cublas won't be available. E0422 00:36:59.103111 81661 common.cpp:121] Cannot create Curand generator. Curand won't be available. F0422 00:36:59.144418 81661 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** Command terminated by signal 6 23.45user 16.26system 1:33.10elapsed 42%CPU (0avgtext+0avgdata 2348892maxresident)k 4570904inputs+4176outputs (14539major+1636332minor)pagefaults 0swaps