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 : 4186 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 : 0.11056399345397949 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 Sun Apr 20 00:35:28 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 : 4186 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 2025-04-20 00:35:31.285891: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-20 00:35:31.294151: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-20 00:35:31.295922: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f4634000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:35:31.295988: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-20 00:35:31.298693: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-20 00:35:31.564327: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2975bc10 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:35:31.564378: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-20 00:35:31.565496: 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 2025-04-20 00:35:31.565933: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:31.574035: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:31.577068: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:31.578274: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:31.582014: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:31.583600: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:31.587936: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:31.589019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:31.589102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:31.589662: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:35:31.589677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:35:31.589686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:35:31.591007: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3734 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 2025-04-20 00:35:32.269774: 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 2025-04-20 00:35:32.269886: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:32.269909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:32.269930: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:32.269950: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:32.269970: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:32.270003: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:32.270024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:32.271201: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:32.272379: 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 2025-04-20 00:35:32.272415: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:32.272435: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:32.272453: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:32.272470: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:32.272487: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:32.272504: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:32.272522: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:32.273623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:32.273663: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:35:32.273675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:35:32.273685: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:35:32.274889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3734 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 : [] 2025-04-20 00:35:39.495688: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:39.686455: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:40.939516: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:35:41.735428: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.29GiB 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. 2025-04-20 00:35:41.735494: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.29GiB 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. 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 2839321 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 91 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 : 4186 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 : 0.0005545616149902344 nb_pixel_total : 15553 time to create 1 rle with old method : 0.018442392349243164 length of segment : 256 time for calcul the mask position with numpy : 0.0027077198028564453 nb_pixel_total : 145327 time to create 1 rle with old method : 0.16015934944152832 length of segment : 371 time for calcul the mask position with numpy : 0.000225067138671875 nb_pixel_total : 14254 time to create 1 rle with old method : 0.01629161834716797 length of segment : 151 time for calcul the mask position with numpy : 0.00012087821960449219 nb_pixel_total : 5613 time to create 1 rle with old method : 0.007112264633178711 length of segment : 48 time for calcul the mask position with numpy : 6.103515625e-05 nb_pixel_total : 1825 time to create 1 rle with old method : 0.0023183822631835938 length of segment : 39 time spent for convertir_results : 0.9729664325714111 time spend for datou_step_exec : 17.711350440979004 time spend to save output : 3.314018249511719e-05 total time spend for step 1 : 17.7113835811615 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 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 : 0.0737454891204834 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, 0.99548584, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (126, 30, 28), (10, 31, 1), (120, 31, 35), (8, 32, 13), (27, 32, 3), (115, 32, 41), (7, 33, 52), (109, 33, 48), (6, 34, 70), (103, 34, 55), (5, 35, 154), (4, 36, 155), (3, 37, 156), (3, 38, 156), (3, 39, 156), (2, 40, 157), (2, 41, 157), (2, 42, 157), (2, 43, 157), (2, 44, 157), (2, 45, 157), (1, 46, 158), (1, 47, 158), (1, 48, 158), (1, 49, 157), (1, 50, 157), (1, 51, 156), (1, 52, 156), (1, 53, 155), (1, 54, 154), (1, 55, 152), (1, 56, 149), (1, 57, 145), (1, 58, 141), (1, 59, 136), (1, 60, 133), (1, 61, 130), (1, 62, 127), (1, 63, 126), (1, 64, 124), (1, 65, 123), (1, 66, 121), (1, 67, 120), (1, 68, 118), (1, 69, 117), (1, 70, 116), (1, 71, 115), (1, 72, 114), (1, 73, 113), (1, 74, 112), (1, 75, 111), (1, 76, 110), (1, 77, 108), (1, 78, 108), (1, 79, 107), (1, 80, 106), (1, 81, 106), (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)], ['16,276,8,273,2,261,2,229,1,228,1,114,2,113,2,82,1,81,1,46,3,37,8,32,20,32,21,33,58,33,59,34,75,34,76,35,102,35,114,33,120,31,130,30,135,27,145,26,152,29,158,35,158,48,154,54,141,58,128,61,119,67,109,76,103,86,96,94,89,98,81,109,71,119,65,132,60,138,52,151,45,158,40,166,34,172,29,188,26,193,25,200,25,219,24,220,24,270,23,273']), (957285035, 492601069, 445, 29, 591, 24, 419, 0.9923769, [(315, 37, 24), (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, 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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/1745102128_2838853_957285035_a42482e51c93c8025d243dd179aee85b.jpg']} free memory after detection : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 4186 ############################### 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 : 0.23791289329528809 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 Sun Apr 20 00:35:48 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 : 4186 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-20 00:35:50.951612: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-20 00:35:50.979139: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-20 00:35:50.981583: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f4640000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:35:50.981649: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-20 00:35:50.985496: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-20 00:35:51.255949: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x29ed14c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:35:51.256002: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-20 00:35:51.257105: 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 2025-04-20 00:35:51.257542: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:51.279356: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:51.282658: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:51.283523: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:51.287165: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:51.289119: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:51.293923: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:51.295099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:51.295192: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:51.295801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:35:51.295817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:35:51.295826: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:35:51.296823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3734 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. 2025-04-20 00:35:51.379675: 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 2025-04-20 00:35:51.379806: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:51.379848: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:51.379870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:51.379892: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:51.379913: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:51.379934: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:51.379955: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:51.381046: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:51.382292: 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 2025-04-20 00:35:51.382335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:35:51.382360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:51.382383: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:35:51.382406: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:35:51.382428: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:35:51.382451: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:35:51.382473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:35:51.383578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:35:51.383627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:35:51.383637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:35:51.383645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:35:51.384587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3734 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 : [] 2025-04-20 00:35:58.742382: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:35:58.927168: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:36:00.233485: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:00.234090: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.83G (3042429952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:00.962393: 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. 2025-04-20 00:36:01.020800: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.020853: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.67GiB 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. 2025-04-20 00:36:01.021469: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.021486: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.67GiB 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. 2025-04-20 00:36:01.028165: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.29GiB 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. 2025-04-20 00:36:01.028208: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.29GiB 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. 2025-04-20 00:36:01.034301: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.034326: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.78GiB 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. 2025-04-20 00:36:01.034916: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.034933: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.78GiB 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. 2025-04-20 00:36:01.053278: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.053376: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 19.91MiB 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. 2025-04-20 00:36:01.053397: 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. 2025-04-20 00:36:01.054592: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.054621: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 16.00MiB 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. 2025-04-20 00:36:01.055790: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.055821: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 16.00MiB 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. 2025-04-20 00:36:01.063093: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.063125: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 63.85MiB 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. 2025-04-20 00:36:01.063904: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.064780: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.065652: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.073973: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.074642: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.089461: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.090152: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.090750: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.091374: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.095495: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.096132: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.096718: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.097298: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.098377: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.108514: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.109109: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.119374: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.119974: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.120792: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.121425: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.122060: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-20 00:36:01.122671: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.15G (3380477952 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 2840672 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2840 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 : 4033 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 : 0.0008628368377685547 nb_pixel_total : 16902 time to create 1 rle with old method : 0.02352166175842285 length of segment : 107 time for calcul the mask position with numpy : 0.024301767349243164 nb_pixel_total : 480751 time to create 1 rle with new method : 0.030672073364257812 length of segment : 632 time for calcul the mask position with numpy : 0.0009031295776367188 nb_pixel_total : 36587 time to create 1 rle with old method : 0.04327893257141113 length of segment : 132 time for calcul the mask position with numpy : 0.0001270771026611328 nb_pixel_total : 4794 time to create 1 rle with old method : 0.005936622619628906 length of segment : 51 time spent for convertir_results : 0.32280921936035156 time spend for datou_step_exec : 16.35492515563965 time spend to save output : 6.794929504394531e-05 total time spend for step 1 : 16.354993104934692 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 : 0.01724982261657715 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, 0.9988374, [(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, 0.99774724, [(710, 22, 23), (925, 22, 47), (608, 23, 146), (894, 23, 103), (598, 24, 234), (850, 24, 158), (590, 25, 427), (582, 26, 444), (575, 27, 458), (569, 28, 466), (565, 29, 472), 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54, 0.9391376, [(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/1745102148_2838853_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 : 0.13275599479675293 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 Sun Apr 20 00:36:06 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 : 4033 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-20 00:36:09.000812: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-20 00:36:09.027150: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-20 00:36:09.029176: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f4640000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:36:09.029236: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-20 00:36:09.033363: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-20 00:36:09.184706: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2a4496a0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-20 00:36:09.184774: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-20 00:36:09.185864: 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 2025-04-20 00:36:09.186389: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:36:09.191595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:36:09.194392: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:36:09.194967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:36:09.197833: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:36:09.199315: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:36:09.205193: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:36:09.206445: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:36:09.206616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:36:09.207288: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:36:09.207312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:36:09.207349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:36:09.208416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 426 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. 2025-04-20 00:36:09.297194: 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 2025-04-20 00:36:09.297299: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:36:09.297322: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:36:09.297344: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:36:09.297364: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:36:09.297384: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:36:09.297404: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:36:09.297424: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:36:09.298285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:36:09.299491: 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 2025-04-20 00:36:09.299581: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-20 00:36:09.299604: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:36:09.299624: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-20 00:36:09.299644: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-20 00:36:09.299664: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-20 00:36:09.299689: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-20 00:36:09.299714: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:36:09.300438: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-20 00:36:09.300472: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-20 00:36:09.300485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-20 00:36:09.300497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-20 00:36:09.301267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 426 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 : [] 2025-04-20 00:36:13.424170: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 51380224 exceeds 10% of free system memory. 2025-04-20 00:36:17.785451: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-20 00:36:17.957915: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-20 00:36:19.136538: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 73.42MiB 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. 2025-04-20 00:36:19.136607: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 73.42MiB 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. 2025-04-20 00:36:19.171808: 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. 2025-04-20 00:36:19.171853: 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. 2025-04-20 00:36:19.178235: 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. 2025-04-20 00:36:19.178256: 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. 2025-04-20 00:36:19.184119: 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. 2025-04-20 00:36:19.184141: 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. 2025-04-20 00:36:19.195957: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 41.00MiB 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. 2025-04-20 00:36:19.195981: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 41.00MiB 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. 2025-04-20 00:36:29.374554: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 50.00MiB (rounded to 52428800) Current allocation summary follows. 2025-04-20 00:36:29.374646: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc 2025-04-20 00:36:29.374665: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): Total Chunks: 102, Chunks in use: 102. 25.5KiB allocated for chunks. 25.5KiB in use in bin. 9.1KiB client-requested in use in bin. 2025-04-20 00:36:29.374681: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): Total Chunks: 42, Chunks in use: 42. 21.0KiB allocated for chunks. 21.0KiB in use in bin. 20.6KiB client-requested in use in bin. 2025-04-20 00:36:29.374696: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): Total Chunks: 289, Chunks in use: 289. 290.5KiB allocated for chunks. 290.5KiB in use in bin. 289.3KiB client-requested in use in bin. 2025-04-20 00:36:29.374711: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): Total Chunks: 60, Chunks in use: 57. 121.5KiB allocated for chunks. 114.5KiB in use in bin. 114.3KiB client-requested in use in bin. 2025-04-20 00:36:29.374726: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): Total Chunks: 135, Chunks in use: 135. 558.5KiB allocated for chunks. 558.5KiB in use in bin. 540.7KiB client-requested in use in bin. 2025-04-20 00:36:29.374741: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): Total Chunks: 24, Chunks in use: 21. 206.5KiB allocated for chunks. 173.5KiB in use in bin. 169.4KiB client-requested in use in bin. 2025-04-20 00:36:29.374757: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): Total Chunks: 5, Chunks in use: 5. 105.0KiB allocated for chunks. 105.0KiB in use in bin. 89.5KiB client-requested in use in bin. 2025-04-20 00:36:29.374791: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): Total Chunks: 7, Chunks in use: 2. 344.8KiB allocated for chunks. 84.8KiB in use in bin. 74.2KiB client-requested in use in bin. 2025-04-20 00:36:29.374806: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): Total Chunks: 10, Chunks in use: 8. 698.0KiB allocated for chunks. 540.0KiB in use in bin. 540.0KiB client-requested in use in bin. 2025-04-20 00:36:29.374821: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): Total Chunks: 5, Chunks in use: 5. 891.5KiB allocated for chunks. 891.5KiB in use in bin. 710.0KiB client-requested in use in bin. 2025-04-20 00:36:29.374835: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): Total Chunks: 11, Chunks in use: 10. 3.48MiB allocated for chunks. 3.04MiB in use in bin. 2.68MiB client-requested in use in bin. 2025-04-20 00:36:29.374850: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): Total Chunks: 7, Chunks in use: 7. 4.00MiB allocated for chunks. 4.00MiB in use in bin. 3.50MiB client-requested in use in bin. 2025-04-20 00:36:29.374865: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): Total Chunks: 51, Chunks in use: 50. 57.02MiB allocated for chunks. 55.83MiB in use in bin. 50.69MiB client-requested in use in bin. 2025-04-20 00:36:29.374879: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): Total Chunks: 33, Chunks in use: 33. 86.44MiB allocated for chunks. 86.44MiB in use in bin. 72.52MiB client-requested in use in bin. 2025-04-20 00:36:29.374894: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): Total Chunks: 8, Chunks in use: 8. 34.75MiB allocated for chunks. 34.75MiB in use in bin. 28.50MiB client-requested in use in bin. 2025-04-20 00:36:29.374923: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): Total Chunks: 6, Chunks in use: 6. 55.62MiB allocated for chunks. 55.62MiB in use in bin. 45.75MiB client-requested in use in bin. 2025-04-20 00:36:29.374938: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): Total Chunks: 2, Chunks in use: 1. 46.44MiB allocated for chunks. 25.00MiB in use in bin. 25.00MiB client-requested in use in bin. 2025-04-20 00:36:29.374953: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): Total Chunks: 3, Chunks in use: 2. 135.94MiB allocated for chunks. 88.06MiB in use in bin. 74.00MiB client-requested in use in bin. 2025-04-20 00:36:29.374967: 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. 2025-04-20 00:36:29.374980: 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. 2025-04-20 00:36:29.374993: 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. 2025-04-20 00:36:29.375007: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 50.00MiB was 32.00MiB, Chunk State: 2025-04-20 00:36:29.375027: I tensorflow/core/common_runtime/bfc_allocator.cc:963] Size: 47.88MiB | Requested Size: 41.00MiB | in_use: 0 | bin_num: 17, prev: Size: 25.00MiB | Requested Size: 25.00MiB | in_use: 1 | bin_num: -1 2025-04-20 00:36:29.375039: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 180224000 2025-04-20 00:36:29.375055: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4442000000 of size 51380224 next 684 2025-04-20 00:36:29.375067: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4445100000 of size 9830400 next 855 2025-04-20 00:36:29.375079: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4445a60000 of size 1638400 next 961 2025-04-20 00:36:29.375091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4445bf0000 of size 40960000 next 923 2025-04-20 00:36:29.375112: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4448300000 of size 26214400 next 848 2025-04-20 00:36:29.375125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f4449c00000 of size 50200576 next 18446744073709551615 2025-04-20 00:36:29.375136: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 134217728 2025-04-20 00:36:29.375148: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444e000000 of size 4194304 next 632 2025-04-20 00:36:29.375159: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444e400000 of size 4194304 next 617 2025-04-20 00:36:29.375171: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444e800000 of size 4194304 next 616 2025-04-20 00:36:29.375183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444ec00000 of size 2359296 next 675 2025-04-20 00:36:29.375195: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444ee40000 of size 3932160 next 608 2025-04-20 00:36:29.375206: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444f200000 of size 4194304 next 611 2025-04-20 00:36:29.375218: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444f600000 of size 9437184 next 644 2025-04-20 00:36:29.375230: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f444ff00000 of size 4194304 next 625 2025-04-20 00:36:29.375241: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4450300000 of size 4194304 next 607 2025-04-20 00:36:29.375253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4450700000 of size 4194304 next 624 2025-04-20 00:36:29.375265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4450b00000 of size 8912896 next 678 2025-04-20 00:36:29.375277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4451380000 of size 2359296 next 680 2025-04-20 00:36:29.375288: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44515c0000 of size 2359296 next 726 2025-04-20 00:36:29.375300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4451800000 of size 1636864 next 758 2025-04-20 00:36:29.375311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445198fa00 of size 22480384 next 656 2025-04-20 00:36:29.375323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4452f00000 of size 2359296 next 721 2025-04-20 00:36:29.375334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4453140000 of size 2359296 next 685 2025-04-20 00:36:29.375345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4453380000 of size 2359296 next 691 2025-04-20 00:36:29.375357: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44535c0000 of size 7077888 next 732 2025-04-20 00:36:29.375369: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4453c80000 of size 2359296 next 738 2025-04-20 00:36:29.375380: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4453ec0000 of size 2359296 next 331 2025-04-20 00:36:29.375392: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4454100000 of size 2359296 next 456 2025-04-20 00:36:29.375403: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4454340000 of size 9437184 next 601 2025-04-20 00:36:29.375415: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4454c40000 of size 8388608 next 213 2025-04-20 00:36:29.375427: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4455440000 of size 12320768 next 18446744073709551615 2025-04-20 00:36:29.375438: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 67108864 2025-04-20 00:36:29.375450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456000000 of size 1048576 next 374 2025-04-20 00:36:29.375462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456100000 of size 1310720 next 370 2025-04-20 00:36:29.375482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456240000 of size 1048576 next 394 2025-04-20 00:36:29.375494: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456340000 of size 589824 next 121 2025-04-20 00:36:29.375506: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44563d0000 of size 262144 next 150 2025-04-20 00:36:29.375518: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456410000 of size 2818048 next 387 2025-04-20 00:36:29.375529: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44566c0000 of size 1048576 next 412 2025-04-20 00:36:29.375541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44567c0000 of size 3670016 next 405 2025-04-20 00:36:29.375552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456b40000 of size 1048576 next 430 2025-04-20 00:36:29.375564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456c40000 of size 3670016 next 423 2025-04-20 00:36:29.375575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4456fc0000 of size 1048576 next 447 2025-04-20 00:36:29.375587: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44570c0000 of size 1310720 next 441 2025-04-20 00:36:29.375598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457200000 of size 1048576 next 428 2025-04-20 00:36:29.375610: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457300000 of size 1048576 next 440 2025-04-20 00:36:29.375621: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457400000 of size 2359296 next 474 2025-04-20 00:36:29.375633: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457640000 of size 2359296 next 492 2025-04-20 00:36:29.375645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457880000 of size 2621440 next 477 2025-04-20 00:36:29.375656: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457b00000 of size 1048576 next 481 2025-04-20 00:36:29.375668: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457c00000 of size 1310720 next 476 2025-04-20 00:36:29.375679: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457d40000 of size 1048576 next 501 2025-04-20 00:36:29.375691: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457e40000 of size 1310720 next 495 2025-04-20 00:36:29.375702: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4457f80000 of size 1048576 next 499 2025-04-20 00:36:29.375714: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458080000 of size 1048576 next 494 2025-04-20 00:36:29.375725: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458180000 of size 2359296 next 528 2025-04-20 00:36:29.375737: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44583c0000 of size 2359296 next 546 2025-04-20 00:36:29.375748: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458600000 of size 2621440 next 531 2025-04-20 00:36:29.375760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458880000 of size 1048576 next 535 2025-04-20 00:36:29.375771: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458980000 of size 1310720 next 530 2025-04-20 00:36:29.375783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458ac0000 of size 1048576 next 555 2025-04-20 00:36:29.375794: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458bc0000 of size 1310720 next 549 2025-04-20 00:36:29.375805: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458d00000 of size 1048576 next 553 2025-04-20 00:36:29.375817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458e00000 of size 1048576 next 548 2025-04-20 00:36:29.375828: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4458f00000 of size 2359296 next 582 2025-04-20 00:36:29.375840: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459140000 of size 3670016 next 591 2025-04-20 00:36:29.375859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f44594c0000 of size 1310720 next 585 2025-04-20 00:36:29.375871: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459600000 of size 1048576 next 589 2025-04-20 00:36:29.375883: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459700000 of size 1310720 next 584 2025-04-20 00:36:29.375895: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459840000 of size 409600 next 967 2025-04-20 00:36:29.375906: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f44598a4000 of size 460800 next 969 2025-04-20 00:36:29.375918: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459914800 of size 178176 next 744 2025-04-20 00:36:29.375930: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459940000 of size 1048576 next 597 2025-04-20 00:36:29.375941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459a40000 of size 2097152 next 596 2025-04-20 00:36:29.375953: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4459c40000 of size 3932160 next 18446744073709551615 2025-04-20 00:36:29.375964: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 33554432 2025-04-20 00:36:29.375976: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a000000 of size 1048576 next 249 2025-04-20 00:36:29.375988: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a100000 of size 1310720 next 245 2025-04-20 00:36:29.375999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a240000 of size 1048576 next 269 2025-04-20 00:36:29.376011: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a340000 of size 1310720 next 263 2025-04-20 00:36:29.376022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a480000 of size 2359296 next 262 2025-04-20 00:36:29.376034: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a6c0000 of size 1048576 next 287 2025-04-20 00:36:29.376045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445a7c0000 of size 3670016 next 280 2025-04-20 00:36:29.376057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ab40000 of size 1048576 next 304 2025-04-20 00:36:29.376068: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ac40000 of size 3670016 next 297 2025-04-20 00:36:29.376080: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445afc0000 of size 1048576 next 322 2025-04-20 00:36:29.376091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b0c0000 of size 1310720 next 316 2025-04-20 00:36:29.376103: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b200000 of size 1048576 next 320 2025-04-20 00:36:29.376114: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b300000 of size 1048576 next 315 2025-04-20 00:36:29.376126: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b400000 of size 2359296 next 349 2025-04-20 00:36:29.376137: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b640000 of size 2359296 next 367 2025-04-20 00:36:29.376149: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445b880000 of size 2621440 next 352 2025-04-20 00:36:29.376160: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445bb00000 of size 1048576 next 356 2025-04-20 00:36:29.376171: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445bc00000 of size 1310720 next 351 2025-04-20 00:36:29.376183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445bd40000 of size 1048576 next 376 2025-04-20 00:36:29.376195: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445be40000 of size 1835008 next 18446744073709551615 2025-04-20 00:36:29.376206: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216 2025-04-20 00:36:29.376226: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c000000 of size 2359296 next 181 2025-04-20 00:36:29.376238: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c240000 of size 3145728 next 216 2025-04-20 00:36:29.376249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c540000 of size 1310720 next 209 2025-04-20 00:36:29.376261: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c680000 of size 2359296 next 208 2025-04-20 00:36:29.376272: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c8c0000 of size 1048576 next 234 2025-04-20 00:36:29.376284: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445c9c0000 of size 3670016 next 227 2025-04-20 00:36:29.376296: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445cd40000 of size 1327104 next 719 2025-04-20 00:36:29.376308: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ce84000 of size 307200 next 809 2025-04-20 00:36:29.376320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445cecf000 of size 1249280 next 18446744073709551615 2025-04-20 00:36:29.376331: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152 2025-04-20 00:36:29.376343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e600000 of size 65536 next 58 2025-04-20 00:36:29.376355: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e610000 of size 147456 next 78 2025-04-20 00:36:29.376367: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e634000 of size 4096 next 191 2025-04-20 00:36:29.376378: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e635000 of size 4096 next 192 2025-04-20 00:36:29.376390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e636000 of size 4096 next 193 2025-04-20 00:36:29.376402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e637000 of size 256 next 194 2025-04-20 00:36:29.376413: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e637100 of size 256 next 195 2025-04-20 00:36:29.376425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e637200 of size 4096 next 197 2025-04-20 00:36:29.376436: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e638200 of size 4096 next 198 2025-04-20 00:36:29.376448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e639200 of size 4096 next 199 2025-04-20 00:36:29.376459: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63a200 of size 4096 next 200 2025-04-20 00:36:29.376471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63b200 of size 1024 next 201 2025-04-20 00:36:29.376483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63b600 of size 1024 next 202 2025-04-20 00:36:29.376494: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63ba00 of size 1024 next 204 2025-04-20 00:36:29.376506: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63be00 of size 1024 next 205 2025-04-20 00:36:29.376517: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63c200 of size 1024 next 206 2025-04-20 00:36:29.376529: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63c600 of size 1024 next 207 2025-04-20 00:36:29.376541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63ca00 of size 1024 next 210 2025-04-20 00:36:29.376552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63ce00 of size 1024 next 211 2025-04-20 00:36:29.376563: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63d200 of size 1024 next 212 2025-04-20 00:36:29.376575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63d600 of size 5120 next 214 2025-04-20 00:36:29.376587: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63ea00 of size 4096 next 215 2025-04-20 00:36:29.376606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e63fa00 of size 4096 next 217 2025-04-20 00:36:29.376618: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e640a00 of size 4096 next 218 2025-04-20 00:36:29.376629: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e641a00 of size 4096 next 219 2025-04-20 00:36:29.376641: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e642a00 of size 1024 next 196 2025-04-20 00:36:29.376652: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e642e00 of size 1024 next 220 2025-04-20 00:36:29.376664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e643200 of size 1024 next 221 2025-04-20 00:36:29.376675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e643600 of size 1024 next 223 2025-04-20 00:36:29.376687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e643a00 of size 1024 next 224 2025-04-20 00:36:29.376698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e643e00 of size 1024 next 225 2025-04-20 00:36:29.376710: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e644200 of size 1024 next 226 2025-04-20 00:36:29.376721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e644600 of size 1024 next 229 2025-04-20 00:36:29.376733: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e644a00 of size 1024 next 230 2025-04-20 00:36:29.376744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e644e00 of size 1024 next 231 2025-04-20 00:36:29.376756: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e645200 of size 4096 next 233 2025-04-20 00:36:29.376768: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e646200 of size 7680 next 72 2025-04-20 00:36:29.376780: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e648000 of size 278528 next 87 2025-04-20 00:36:29.376791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68c000 of size 4096 next 289 2025-04-20 00:36:29.376803: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68d000 of size 4096 next 290 2025-04-20 00:36:29.376814: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68e000 of size 1024 next 281 2025-04-20 00:36:29.376826: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68e400 of size 1024 next 291 2025-04-20 00:36:29.376837: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68e800 of size 1024 next 292 2025-04-20 00:36:29.376848: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68ec00 of size 1024 next 293 2025-04-20 00:36:29.376860: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68f000 of size 1024 next 294 2025-04-20 00:36:29.376871: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68f400 of size 1024 next 295 2025-04-20 00:36:29.376883: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68f800 of size 1024 next 296 2025-04-20 00:36:29.376895: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e68fc00 of size 1024 next 299 2025-04-20 00:36:29.376906: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e690000 of size 1024 next 300 2025-04-20 00:36:29.376918: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e690400 of size 1024 next 301 2025-04-20 00:36:29.376929: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e690800 of size 4096 next 303 2025-04-20 00:36:29.376941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e691800 of size 4096 next 305 2025-04-20 00:36:29.376952: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e692800 of size 4096 next 306 2025-04-20 00:36:29.376964: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e693800 of size 4096 next 307 2025-04-20 00:36:29.376975: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e694800 of size 4096 next 308 2025-04-20 00:36:29.376995: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e695800 of size 1024 next 298 2025-04-20 00:36:29.377007: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e695c00 of size 1024 next 309 2025-04-20 00:36:29.377018: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e696000 of size 1024 next 310 2025-04-20 00:36:29.377030: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e696400 of size 1024 next 311 2025-04-20 00:36:29.377041: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e696800 of size 1024 next 312 2025-04-20 00:36:29.377053: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e696c00 of size 1024 next 313 2025-04-20 00:36:29.377064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e697000 of size 1024 next 314 2025-04-20 00:36:29.377075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e697400 of size 1024 next 317 2025-04-20 00:36:29.377087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e697800 of size 1024 next 318 2025-04-20 00:36:29.377098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e697c00 of size 1024 next 319 2025-04-20 00:36:29.377110: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e698000 of size 4096 next 321 2025-04-20 00:36:29.377122: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e699000 of size 4096 next 323 2025-04-20 00:36:29.377133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69a000 of size 4096 next 324 2025-04-20 00:36:29.377145: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69b000 of size 4096 next 325 2025-04-20 00:36:29.377156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69c000 of size 4096 next 326 2025-04-20 00:36:29.377168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69d000 of size 1024 next 302 2025-04-20 00:36:29.377179: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69d400 of size 1024 next 327 2025-04-20 00:36:29.377191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69d800 of size 1024 next 328 2025-04-20 00:36:29.377202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69dc00 of size 1024 next 329 2025-04-20 00:36:29.377214: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69e000 of size 1024 next 330 2025-04-20 00:36:29.377225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69e400 of size 1024 next 285 2025-04-20 00:36:29.377237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69e800 of size 1024 next 332 2025-04-20 00:36:29.377248: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69ec00 of size 1024 next 335 2025-04-20 00:36:29.377260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69f000 of size 1024 next 336 2025-04-20 00:36:29.377271: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69f400 of size 1024 next 337 2025-04-20 00:36:29.377283: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e69f800 of size 4096 next 339 2025-04-20 00:36:29.377294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a0800 of size 4096 next 341 2025-04-20 00:36:29.377306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a1800 of size 4096 next 342 2025-04-20 00:36:29.377317: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a2800 of size 4096 next 343 2025-04-20 00:36:29.377329: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a3800 of size 4096 next 344 2025-04-20 00:36:29.377340: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a4800 of size 1024 next 340 2025-04-20 00:36:29.377352: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a4c00 of size 1024 next 345 2025-04-20 00:36:29.377371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a5000 of size 1024 next 346 2025-04-20 00:36:29.377383: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a5400 of size 1024 next 347 2025-04-20 00:36:29.377395: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a5800 of size 1024 next 348 2025-04-20 00:36:29.377406: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a5c00 of size 1024 next 334 2025-04-20 00:36:29.377418: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a6000 of size 1024 next 350 2025-04-20 00:36:29.377429: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a6400 of size 1024 next 353 2025-04-20 00:36:29.377441: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a6800 of size 1024 next 354 2025-04-20 00:36:29.377452: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a6c00 of size 1024 next 355 2025-04-20 00:36:29.377464: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a7000 of size 4096 next 357 2025-04-20 00:36:29.377475: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a8000 of size 4096 next 359 2025-04-20 00:36:29.377486: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6a9000 of size 4096 next 360 2025-04-20 00:36:29.377498: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6aa000 of size 4096 next 361 2025-04-20 00:36:29.377509: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ab000 of size 4096 next 362 2025-04-20 00:36:29.377521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ac000 of size 1024 next 358 2025-04-20 00:36:29.377532: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ac400 of size 1024 next 363 2025-04-20 00:36:29.377544: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ac800 of size 1024 next 364 2025-04-20 00:36:29.377556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6acc00 of size 1024 next 365 2025-04-20 00:36:29.377567: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ad000 of size 1024 next 366 2025-04-20 00:36:29.377579: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ad400 of size 1024 next 333 2025-04-20 00:36:29.377590: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ad800 of size 1024 next 368 2025-04-20 00:36:29.377602: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6adc00 of size 1024 next 371 2025-04-20 00:36:29.377613: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ae000 of size 1024 next 372 2025-04-20 00:36:29.377625: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ae400 of size 1024 next 373 2025-04-20 00:36:29.377636: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ae800 of size 4096 next 375 2025-04-20 00:36:29.377648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6af800 of size 4096 next 377 2025-04-20 00:36:29.377659: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b0800 of size 4096 next 378 2025-04-20 00:36:29.377671: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b1800 of size 4096 next 379 2025-04-20 00:36:29.377682: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b2800 of size 4096 next 380 2025-04-20 00:36:29.377694: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b3800 of size 1024 next 338 2025-04-20 00:36:29.377705: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b3c00 of size 1024 next 381 2025-04-20 00:36:29.377717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b4000 of size 1024 next 382 2025-04-20 00:36:29.377728: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b4400 of size 1024 next 383 2025-04-20 00:36:29.377748: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b4800 of size 1024 next 384 2025-04-20 00:36:29.377759: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b4c00 of size 1024 next 388 2025-04-20 00:36:29.377771: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b5000 of size 1024 next 386 2025-04-20 00:36:29.377782: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b5400 of size 1024 next 389 2025-04-20 00:36:29.377794: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b5800 of size 1024 next 390 2025-04-20 00:36:29.377805: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b5c00 of size 1024 next 391 2025-04-20 00:36:29.377817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b6000 of size 4096 next 393 2025-04-20 00:36:29.377828: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b7000 of size 4096 next 395 2025-04-20 00:36:29.377840: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b8000 of size 4096 next 396 2025-04-20 00:36:29.377851: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6b9000 of size 4096 next 397 2025-04-20 00:36:29.377863: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ba000 of size 4096 next 398 2025-04-20 00:36:29.377874: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bb000 of size 1024 next 392 2025-04-20 00:36:29.377886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bb400 of size 1024 next 399 2025-04-20 00:36:29.377897: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bb800 of size 1024 next 400 2025-04-20 00:36:29.377909: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bbc00 of size 1024 next 401 2025-04-20 00:36:29.377920: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bc000 of size 1024 next 402 2025-04-20 00:36:29.377932: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bc400 of size 1024 next 403 2025-04-20 00:36:29.377943: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bc800 of size 1024 next 404 2025-04-20 00:36:29.377954: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bcc00 of size 1024 next 407 2025-04-20 00:36:29.377966: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bd000 of size 1024 next 408 2025-04-20 00:36:29.377977: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bd400 of size 1024 next 409 2025-04-20 00:36:29.377989: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bd800 of size 4096 next 411 2025-04-20 00:36:29.378000: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6be800 of size 4096 next 413 2025-04-20 00:36:29.378012: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6bf800 of size 4096 next 414 2025-04-20 00:36:29.378023: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c0800 of size 4096 next 415 2025-04-20 00:36:29.378035: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c1800 of size 4096 next 416 2025-04-20 00:36:29.378046: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c2800 of size 1024 next 406 2025-04-20 00:36:29.378058: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c2c00 of size 1024 next 417 2025-04-20 00:36:29.378070: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c3000 of size 1024 next 418 2025-04-20 00:36:29.378081: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c3400 of size 1024 next 419 2025-04-20 00:36:29.378092: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c3800 of size 1024 next 420 2025-04-20 00:36:29.378104: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c3c00 of size 1024 next 421 2025-04-20 00:36:29.378123: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c4000 of size 1024 next 422 2025-04-20 00:36:29.378135: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c4400 of size 1024 next 425 2025-04-20 00:36:29.378146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c4800 of size 1024 next 426 2025-04-20 00:36:29.378158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c4c00 of size 1024 next 427 2025-04-20 00:36:29.378169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c5000 of size 4096 next 429 2025-04-20 00:36:29.378181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c6000 of size 4096 next 431 2025-04-20 00:36:29.378192: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c7000 of size 4096 next 432 2025-04-20 00:36:29.378204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c8000 of size 4096 next 433 2025-04-20 00:36:29.378215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6c9000 of size 4096 next 434 2025-04-20 00:36:29.378227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ca000 of size 1024 next 424 2025-04-20 00:36:29.378238: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ca400 of size 1024 next 435 2025-04-20 00:36:29.378250: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6ca800 of size 1024 next 436 2025-04-20 00:36:29.378262: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cac00 of size 1024 next 437 2025-04-20 00:36:29.378273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cb000 of size 1024 next 438 2025-04-20 00:36:29.378284: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cb400 of size 1024 next 446 2025-04-20 00:36:29.378296: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cb800 of size 1024 next 452 2025-04-20 00:36:29.378307: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cbc00 of size 1024 next 103 2025-04-20 00:36:29.378319: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e6cc000 of size 262144 next 102 2025-04-20 00:36:29.378331: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e70c000 of size 24576 next 686 2025-04-20 00:36:29.378343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e712000 of size 82944 next 126 2025-04-20 00:36:29.378354: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e726400 of size 54528 next 822 2025-04-20 00:36:29.378366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e733900 of size 1024 next 823 2025-04-20 00:36:29.378377: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e733d00 of size 2560 next 960 2025-04-20 00:36:29.378389: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e734700 of size 5632 next 824 2025-04-20 00:36:29.378401: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e735d00 of size 1024 next 825 2025-04-20 00:36:29.378412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e736100 of size 4096 next 826 2025-04-20 00:36:29.378424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e737100 of size 49152 next 846 2025-04-20 00:36:29.378435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e743100 of size 1024 next 847 2025-04-20 00:36:29.378447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e743500 of size 55296 next 866 2025-04-20 00:36:29.378458: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e750d00 of size 4096 next 867 2025-04-20 00:36:29.378470: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e751d00 of size 1024 next 868 2025-04-20 00:36:29.378482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e752100 of size 2560 next 856 2025-04-20 00:36:29.378493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e752b00 of size 2560 next 870 2025-04-20 00:36:29.378510: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e753500 of size 256 next 871 2025-04-20 00:36:29.378521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e753600 of size 256 next 872 2025-04-20 00:36:29.378533: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e753700 of size 256 next 873 2025-04-20 00:36:29.378545: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e753800 of size 256 next 874 2025-04-20 00:36:29.378556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e753900 of size 51968 next 749 2025-04-20 00:36:29.378568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e760400 of size 248832 next 715 2025-04-20 00:36:29.378580: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e79d000 of size 19200 next 971 2025-04-20 00:36:29.378591: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7a1b00 of size 9728 next 886 2025-04-20 00:36:29.378603: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e7a4100 of size 13056 next 934 2025-04-20 00:36:29.378614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7a7400 of size 1024 next 935 2025-04-20 00:36:29.378626: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e7a7800 of size 8192 next 936 2025-04-20 00:36:29.378637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7a9800 of size 1024 next 937 2025-04-20 00:36:29.378649: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7a9c00 of size 4096 next 938 2025-04-20 00:36:29.378661: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7aac00 of size 49152 next 958 2025-04-20 00:36:29.378672: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7b6c00 of size 1024 next 959 2025-04-20 00:36:29.378684: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e7b7000 of size 55296 next 978 2025-04-20 00:36:29.378695: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7c4800 of size 4096 next 979 2025-04-20 00:36:29.378707: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7c5800 of size 1024 next 980 2025-04-20 00:36:29.378718: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e7c5c00 of size 76800 next 849 2025-04-20 00:36:29.378730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e7d8800 of size 76800 next 916 2025-04-20 00:36:29.378741: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445e7eb400 of size 84992 next 18446744073709551615 2025-04-20 00:36:29.378753: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304 2025-04-20 00:36:29.378765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e800000 of size 589824 next 96 2025-04-20 00:36:29.378777: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e890000 of size 262144 next 117 2025-04-20 00:36:29.378788: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d0000 of size 1024 next 439 2025-04-20 00:36:29.378800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d0400 of size 1024 next 442 2025-04-20 00:36:29.378811: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d0800 of size 1024 next 443 2025-04-20 00:36:29.378822: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d0c00 of size 1024 next 444 2025-04-20 00:36:29.378834: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d1000 of size 1024 next 445 2025-04-20 00:36:29.378845: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d1400 of size 5120 next 448 2025-04-20 00:36:29.378857: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d2800 of size 4096 next 449 2025-04-20 00:36:29.378868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d3800 of size 4096 next 450 2025-04-20 00:36:29.378887: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d4800 of size 4096 next 451 2025-04-20 00:36:29.378907: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d5800 of size 1024 next 454 2025-04-20 00:36:29.378921: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d5c00 of size 1024 next 455 2025-04-20 00:36:29.378932: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d6000 of size 1024 next 453 2025-04-20 00:36:29.378944: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d6400 of size 1024 next 457 2025-04-20 00:36:29.378955: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d6800 of size 1024 next 460 2025-04-20 00:36:29.378967: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d6c00 of size 1024 next 461 2025-04-20 00:36:29.378978: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d7000 of size 1024 next 462 2025-04-20 00:36:29.378990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d7400 of size 7168 next 464 2025-04-20 00:36:29.379001: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8d9000 of size 4096 next 466 2025-04-20 00:36:29.379013: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8da000 of size 4096 next 467 2025-04-20 00:36:29.379024: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8db000 of size 4096 next 468 2025-04-20 00:36:29.379036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8dc000 of size 4096 next 469 2025-04-20 00:36:29.379047: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8dd000 of size 1024 next 465 2025-04-20 00:36:29.379068: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8dd400 of size 1024 next 470 2025-04-20 00:36:29.379079: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8dd800 of size 1024 next 471 2025-04-20 00:36:29.379091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ddc00 of size 1024 next 472 2025-04-20 00:36:29.379106: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8de000 of size 1024 next 473 2025-04-20 00:36:29.379118: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8de400 of size 1024 next 459 2025-04-20 00:36:29.379130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8de800 of size 1024 next 475 2025-04-20 00:36:29.379141: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8dec00 of size 1024 next 478 2025-04-20 00:36:29.379153: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8df000 of size 1024 next 479 2025-04-20 00:36:29.379164: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8df400 of size 1024 next 480 2025-04-20 00:36:29.379176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8df800 of size 4096 next 482 2025-04-20 00:36:29.379193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e0800 of size 4096 next 484 2025-04-20 00:36:29.379204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e1800 of size 4096 next 485 2025-04-20 00:36:29.379216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e2800 of size 4096 next 486 2025-04-20 00:36:29.379227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e3800 of size 4096 next 487 2025-04-20 00:36:29.379242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e4800 of size 1024 next 483 2025-04-20 00:36:29.379254: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e4c00 of size 1024 next 488 2025-04-20 00:36:29.379265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e5000 of size 1024 next 489 2025-04-20 00:36:29.379277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e5400 of size 1024 next 490 2025-04-20 00:36:29.379297: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e5800 of size 1024 next 491 2025-04-20 00:36:29.379309: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e5c00 of size 1024 next 458 2025-04-20 00:36:29.379320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e6000 of size 1024 next 493 2025-04-20 00:36:29.379332: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e6400 of size 1024 next 496 2025-04-20 00:36:29.379343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e6800 of size 1024 next 497 2025-04-20 00:36:29.379354: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e6c00 of size 1024 next 498 2025-04-20 00:36:29.379366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e7000 of size 4096 next 500 2025-04-20 00:36:29.379377: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e8000 of size 4096 next 502 2025-04-20 00:36:29.379389: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8e9000 of size 4096 next 503 2025-04-20 00:36:29.379400: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ea000 of size 4096 next 504 2025-04-20 00:36:29.379412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8eb000 of size 4096 next 505 2025-04-20 00:36:29.379423: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ec000 of size 1024 next 463 2025-04-20 00:36:29.379434: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ec400 of size 1024 next 506 2025-04-20 00:36:29.379446: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ec800 of size 1024 next 507 2025-04-20 00:36:29.379457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ecc00 of size 1024 next 508 2025-04-20 00:36:29.379469: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ed000 of size 1024 next 509 2025-04-20 00:36:29.379480: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ed400 of size 1024 next 510 2025-04-20 00:36:29.379491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ed800 of size 1024 next 511 2025-04-20 00:36:29.379503: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8edc00 of size 1024 next 514 2025-04-20 00:36:29.379514: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ee000 of size 1024 next 515 2025-04-20 00:36:29.379526: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ee400 of size 1024 next 516 2025-04-20 00:36:29.379537: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ee800 of size 4096 next 518 2025-04-20 00:36:29.379548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ef800 of size 4096 next 520 2025-04-20 00:36:29.379560: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f0800 of size 4096 next 521 2025-04-20 00:36:29.379571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f1800 of size 4096 next 522 2025-04-20 00:36:29.379583: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f2800 of size 4096 next 523 2025-04-20 00:36:29.379594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f3800 of size 1024 next 519 2025-04-20 00:36:29.379605: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f3c00 of size 1024 next 524 2025-04-20 00:36:29.379617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f4000 of size 1024 next 525 2025-04-20 00:36:29.379628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f4400 of size 1024 next 526 2025-04-20 00:36:29.379640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f4800 of size 1024 next 527 2025-04-20 00:36:29.379651: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f4c00 of size 1024 next 513 2025-04-20 00:36:29.379670: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f5000 of size 1024 next 529 2025-04-20 00:36:29.379682: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f5400 of size 1024 next 532 2025-04-20 00:36:29.379694: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f5800 of size 1024 next 533 2025-04-20 00:36:29.379705: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f5c00 of size 1024 next 534 2025-04-20 00:36:29.379716: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f6000 of size 4096 next 536 2025-04-20 00:36:29.379728: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f7000 of size 4096 next 538 2025-04-20 00:36:29.379739: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f8000 of size 4096 next 539 2025-04-20 00:36:29.379751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8f9000 of size 4096 next 540 2025-04-20 00:36:29.379762: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fa000 of size 4096 next 541 2025-04-20 00:36:29.379774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fb000 of size 1024 next 537 2025-04-20 00:36:29.379785: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fb400 of size 1024 next 542 2025-04-20 00:36:29.379797: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fb800 of size 1024 next 543 2025-04-20 00:36:29.379808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fbc00 of size 1024 next 544 2025-04-20 00:36:29.379819: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fc000 of size 1024 next 545 2025-04-20 00:36:29.379831: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fc400 of size 1024 next 512 2025-04-20 00:36:29.379842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fc800 of size 1024 next 547 2025-04-20 00:36:29.379854: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fcc00 of size 1024 next 550 2025-04-20 00:36:29.379865: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fd000 of size 1024 next 551 2025-04-20 00:36:29.379876: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fd400 of size 1024 next 552 2025-04-20 00:36:29.379888: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fd800 of size 4096 next 554 2025-04-20 00:36:29.379899: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8fe800 of size 4096 next 556 2025-04-20 00:36:29.379911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e8ff800 of size 4096 next 557 2025-04-20 00:36:29.379922: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e900800 of size 4096 next 558 2025-04-20 00:36:29.379933: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e901800 of size 4096 next 559 2025-04-20 00:36:29.379945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e902800 of size 1024 next 517 2025-04-20 00:36:29.379956: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e902c00 of size 1024 next 560 2025-04-20 00:36:29.379968: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e903000 of size 1024 next 561 2025-04-20 00:36:29.379979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e903400 of size 1024 next 562 2025-04-20 00:36:29.379990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e903800 of size 1024 next 563 2025-04-20 00:36:29.380002: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e903c00 of size 1024 next 564 2025-04-20 00:36:29.380013: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e904000 of size 1024 next 565 2025-04-20 00:36:29.380025: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e904400 of size 1024 next 568 2025-04-20 00:36:29.380048: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e904800 of size 1024 next 569 2025-04-20 00:36:29.380059: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e904c00 of size 1024 next 570 2025-04-20 00:36:29.380071: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e905000 of size 4096 next 572 2025-04-20 00:36:29.380082: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e906000 of size 4096 next 574 2025-04-20 00:36:29.380094: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e907000 of size 4096 next 575 2025-04-20 00:36:29.380105: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e908000 of size 4096 next 576 2025-04-20 00:36:29.380116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e909000 of size 4096 next 577 2025-04-20 00:36:29.380128: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90a000 of size 1024 next 573 2025-04-20 00:36:29.380139: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90a400 of size 1024 next 578 2025-04-20 00:36:29.380151: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90a800 of size 1024 next 579 2025-04-20 00:36:29.380162: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90ac00 of size 1024 next 580 2025-04-20 00:36:29.380173: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90b000 of size 1024 next 581 2025-04-20 00:36:29.380185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90b400 of size 1024 next 567 2025-04-20 00:36:29.380196: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90b800 of size 1024 next 583 2025-04-20 00:36:29.380208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90bc00 of size 1024 next 586 2025-04-20 00:36:29.380219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90c000 of size 1024 next 587 2025-04-20 00:36:29.380230: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90c400 of size 1024 next 588 2025-04-20 00:36:29.380242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90c800 of size 4096 next 590 2025-04-20 00:36:29.380253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90d800 of size 4096 next 592 2025-04-20 00:36:29.380265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e90e800 of size 6144 next 112 2025-04-20 00:36:29.380277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445e910000 of size 1114112 next 124 2025-04-20 00:36:29.380289: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ea20000 of size 589824 next 123 2025-04-20 00:36:29.380300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eab0000 of size 262144 next 152 2025-04-20 00:36:29.380312: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eaf0000 of size 327680 next 142 2025-04-20 00:36:29.380323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eb40000 of size 786432 next 18446744073709551615 2025-04-20 00:36:29.380335: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608 2025-04-20 00:36:29.380347: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec00000 of size 4096 next 593 2025-04-20 00:36:29.380358: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec01000 of size 4096 next 594 2025-04-20 00:36:29.380370: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec02000 of size 2048 next 566 2025-04-20 00:36:29.380382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec02800 of size 2048 next 595 2025-04-20 00:36:29.380393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec03000 of size 2048 next 598 2025-04-20 00:36:29.380405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec03800 of size 2048 next 599 2025-04-20 00:36:29.380416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec04000 of size 2048 next 600 2025-04-20 00:36:29.380435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec04800 of size 2048 next 571 2025-04-20 00:36:29.380447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec05000 of size 2048 next 602 2025-04-20 00:36:29.380459: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec05800 of size 256 next 605 2025-04-20 00:36:29.380470: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec05900 of size 256 next 606 2025-04-20 00:36:29.380482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec05a00 of size 2048 next 604 2025-04-20 00:36:29.380493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec06200 of size 2048 next 609 2025-04-20 00:36:29.380504: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec06a00 of size 2048 next 610 2025-04-20 00:36:29.380516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec07200 of size 2048 next 133 2025-04-20 00:36:29.380527: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec07a00 of size 2048 next 612 2025-04-20 00:36:29.380539: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec08200 of size 256 next 614 2025-04-20 00:36:29.380550: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec08300 of size 256 next 615 2025-04-20 00:36:29.380562: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec08400 of size 8192 next 613 2025-04-20 00:36:29.380573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec0a400 of size 8192 next 618 2025-04-20 00:36:29.380585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec0c400 of size 8192 next 619 2025-04-20 00:36:29.380596: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec0e400 of size 8192 next 620 2025-04-20 00:36:29.380608: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec10400 of size 8192 next 621 2025-04-20 00:36:29.380619: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec12400 of size 256 next 622 2025-04-20 00:36:29.380631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec12500 of size 256 next 623 2025-04-20 00:36:29.380642: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec12600 of size 8192 next 626 2025-04-20 00:36:29.380653: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec14600 of size 8192 next 627 2025-04-20 00:36:29.380665: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec16600 of size 8192 next 628 2025-04-20 00:36:29.380676: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec18600 of size 8192 next 629 2025-04-20 00:36:29.380688: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1a600 of size 2048 next 631 2025-04-20 00:36:29.380699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1ae00 of size 2048 next 633 2025-04-20 00:36:29.380711: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1b600 of size 2048 next 634 2025-04-20 00:36:29.380722: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1be00 of size 2048 next 635 2025-04-20 00:36:29.380733: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1c600 of size 2048 next 636 2025-04-20 00:36:29.380745: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1ce00 of size 2048 next 637 2025-04-20 00:36:29.380756: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1d600 of size 2048 next 640 2025-04-20 00:36:29.380767: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1de00 of size 2048 next 641 2025-04-20 00:36:29.380779: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec1e600 of size 12288 next 643 2025-04-20 00:36:29.380791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec21600 of size 8192 next 645 2025-04-20 00:36:29.380810: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec23600 of size 8192 next 646 2025-04-20 00:36:29.380822: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec25600 of size 8192 next 647 2025-04-20 00:36:29.380833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec27600 of size 8192 next 648 2025-04-20 00:36:29.380845: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec29600 of size 2048 next 642 2025-04-20 00:36:29.380856: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec29e00 of size 2048 next 649 2025-04-20 00:36:29.380868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2a600 of size 2048 next 650 2025-04-20 00:36:29.380879: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2ae00 of size 2048 next 651 2025-04-20 00:36:29.380890: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2b600 of size 2048 next 652 2025-04-20 00:36:29.380902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2be00 of size 2048 next 638 2025-04-20 00:36:29.380913: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2c600 of size 2048 next 654 2025-04-20 00:36:29.380925: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2ce00 of size 2048 next 655 2025-04-20 00:36:29.380936: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2d600 of size 2048 next 657 2025-04-20 00:36:29.380948: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2de00 of size 2048 next 658 2025-04-20 00:36:29.380959: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec2e600 of size 8192 next 660 2025-04-20 00:36:29.380970: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec30600 of size 8192 next 662 2025-04-20 00:36:29.380982: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec32600 of size 8192 next 663 2025-04-20 00:36:29.380993: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec34600 of size 8192 next 664 2025-04-20 00:36:29.381005: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec36600 of size 8192 next 665 2025-04-20 00:36:29.381016: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec38600 of size 1024 next 659 2025-04-20 00:36:29.381028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec38a00 of size 1024 next 666 2025-04-20 00:36:29.381039: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec38e00 of size 1024 next 667 2025-04-20 00:36:29.381051: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec39200 of size 1024 next 668 2025-04-20 00:36:29.381062: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec39600 of size 1024 next 669 2025-04-20 00:36:29.381074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec39a00 of size 1024 next 661 2025-04-20 00:36:29.381085: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec39e00 of size 1024 next 676 2025-04-20 00:36:29.381096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3a200 of size 2048 next 677 2025-04-20 00:36:29.381108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3aa00 of size 6144 next 679 2025-04-20 00:36:29.381119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3c200 of size 1024 next 681 2025-04-20 00:36:29.381131: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3c600 of size 256 next 682 2025-04-20 00:36:29.381142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3c700 of size 256 next 683 2025-04-20 00:36:29.381153: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3c800 of size 256 next 673 2025-04-20 00:36:29.381165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3c900 of size 256 next 653 2025-04-20 00:36:29.381185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3ca00 of size 1792 next 690 2025-04-20 00:36:29.381196: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d100 of size 256 next 694 2025-04-20 00:36:29.381208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d200 of size 256 next 695 2025-04-20 00:36:29.381219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d300 of size 256 next 693 2025-04-20 00:36:29.381231: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d400 of size 256 next 700 2025-04-20 00:36:29.381242: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d500 of size 256 next 701 2025-04-20 00:36:29.381254: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3d600 of size 4096 next 699 2025-04-20 00:36:29.381265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec3e600 of size 6656 next 687 2025-04-20 00:36:29.381277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec40000 of size 256 next 688 2025-04-20 00:36:29.381288: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec40100 of size 256 next 689 2025-04-20 00:36:29.381300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec40200 of size 4096 next 702 2025-04-20 00:36:29.381311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec41200 of size 4096 next 704 2025-04-20 00:36:29.381323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec42200 of size 4096 next 639 2025-04-20 00:36:29.381334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445ec43200 of size 12544 next 692 2025-04-20 00:36:29.381346: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec46300 of size 256 next 705 2025-04-20 00:36:29.381357: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec46400 of size 256 next 706 2025-04-20 00:36:29.381368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec46500 of size 4096 next 707 2025-04-20 00:36:29.381380: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec47500 of size 4096 next 708 2025-04-20 00:36:29.381391: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec48500 of size 4096 next 709 2025-04-20 00:36:29.381403: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec49500 of size 4096 next 710 2025-04-20 00:36:29.381415: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4a500 of size 1536 next 703 2025-04-20 00:36:29.381426: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4ab00 of size 256 next 760 2025-04-20 00:36:29.381438: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4ac00 of size 256 next 761 2025-04-20 00:36:29.381449: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free at 7f445ec4ad00 of size 2048 next 711 2025-04-20 00:36:29.381461: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4b500 of size 256 next 712 2025-04-20 00:36:29.381472: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4b600 of size 256 next 713 2025-04-20 00:36:29.381484: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4b700 of size 512 next 714 2025-04-20 00:36:29.381496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4b900 of size 256 next 716 2025-04-20 00:36:29.381507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4ba00 of size 256 next 717 2025-04-20 00:36:29.381518: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4bb00 of size 256 next 76 2025-04-20 00:36:29.381530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4bc00 of size 256 next 755 2025-04-20 00:36:29.381541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4bd00 of size 256 next 756 2025-04-20 00:36:29.381553: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4be00 of size 256 next 757 2025-04-20 00:36:29.381572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4bf00 of size 256 next 759 2025-04-20 00:36:29.381584: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4c000 of size 256 next 718 2025-04-20 00:36:29.381595: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4c100 of size 1024 next 720 2025-04-20 00:36:29.381607: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4c500 of size 1024 next 722 2025-04-20 00:36:29.381618: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4c900 of size 1024 next 723 2025-04-20 00:36:29.381630: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4cd00 of size 1024 next 724 2025-04-20 00:36:29.381641: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4d100 of size 1024 next 725 2025-04-20 00:36:29.381652: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4d500 of size 1024 next 727 2025-04-20 00:36:29.381664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4d900 of size 1024 next 728 2025-04-20 00:36:29.381675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4dd00 of size 1024 next 729 2025-04-20 00:36:29.381687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4e100 of size 1024 next 730 2025-04-20 00:36:29.381698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4e500 of size 1024 next 731 2025-04-20 00:36:29.381710: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4e900 of size 1024 next 733 2025-04-20 00:36:29.381721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4ed00 of size 1024 next 734 2025-04-20 00:36:29.381733: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4f100 of size 1024 next 735 2025-04-20 00:36:29.381744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4f500 of size 1024 next 736 2025-04-20 00:36:29.381755: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4f900 of size 1024 next 737 2025-04-20 00:36:29.381767: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec4fd00 of size 1024 next 739 2025-04-20 00:36:29.381778: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec50100 of size 1024 next 740 2025-04-20 00:36:29.381790: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec50500 of size 1024 next 741 2025-04-20 00:36:29.381801: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec50900 of size 1024 next 742 2025-04-20 00:36:29.381813: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec50d00 of size 1024 next 743 2025-04-20 00:36:29.381824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51100 of size 512 next 630 2025-04-20 00:36:29.381836: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51300 of size 256 next 674 2025-04-20 00:36:29.381847: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51400 of size 256 next 745 2025-04-20 00:36:29.381858: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51500 of size 256 next 747 2025-04-20 00:36:29.381870: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51600 of size 256 next 748 2025-04-20 00:36:29.381881: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51700 of size 256 next 7 2025-04-20 00:36:29.381893: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51800 of size 256 next 746 2025-04-20 00:36:29.381904: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51900 of size 256 next 751 2025-04-20 00:36:29.381916: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51a00 of size 1024 next 754 2025-04-20 00:36:29.381927: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51e00 of size 256 next 46 2025-04-20 00:36:29.381946: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec51f00 of size 256 next 48 2025-04-20 00:36:29.381958: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec52000 of size 256 next 49 2025-04-20 00:36:29.381970: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec52100 of size 256 next 50 2025-04-20 00:36:29.381981: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec52200 of size 256 next 697 2025-04-20 00:36:29.381993: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec52300 of size 24576 next 696 2025-04-20 00:36:29.382005: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec58300 of size 37632 next 750 2025-04-20 00:36:29.382016: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec61600 of size 190976 next 160 2025-04-20 00:36:29.382028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ec90000 of size 589824 next 158 2025-04-20 00:36:29.382040: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ed20000 of size 524288 next 171 2025-04-20 00:36:29.382051: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eda0000 of size 256 next 671 2025-04-20 00:36:29.382063: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eda0100 of size 256 next 672 2025-04-20 00:36:29.382075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eda0200 of size 523776 next 670 2025-04-20 00:36:29.382086: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445ee20000 of size 524288 next 222 2025-04-20 00:36:29.382098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445eea0000 of size 1048576 next 190 2025-04-20 00:36:29.382109: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445efa0000 of size 1048576 next 189 2025-04-20 00:36:29.382121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445f0a0000 of size 1048576 next 203 2025-04-20 00:36:29.382132: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445f1a0000 of size 1048576 next 251 2025-04-20 00:36:29.382144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f445f2a0000 of size 1441792 next 18446744073709551615 2025-04-20 00:36:29.382156: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576 2025-04-20 00:36:29.382168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00000 of size 1280 next 1 2025-04-20 00:36:29.382180: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00500 of size 256 next 5 2025-04-20 00:36:29.382191: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00600 of size 256 next 8 2025-04-20 00:36:29.382202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00700 of size 256 next 9 2025-04-20 00:36:29.382214: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00800 of size 256 next 10 2025-04-20 00:36:29.382225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00900 of size 256 next 11 2025-04-20 00:36:29.382237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00a00 of size 256 next 12 2025-04-20 00:36:29.382248: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00b00 of size 256 next 13 2025-04-20 00:36:29.382260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00c00 of size 256 next 17 2025-04-20 00:36:29.382271: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00d00 of size 256 next 19 2025-04-20 00:36:29.382283: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00e00 of size 256 next 20 2025-04-20 00:36:29.382294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e00f00 of size 256 next 21 2025-04-20 00:36:29.382305: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01000 of size 256 next 22 2025-04-20 00:36:29.382325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01100 of size 256 next 24 2025-04-20 00:36:29.382336: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01200 of size 256 next 25 2025-04-20 00:36:29.382348: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01300 of size 256 next 23 2025-04-20 00:36:29.382359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01400 of size 256 next 28 2025-04-20 00:36:29.382371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01500 of size 256 next 29 2025-04-20 00:36:29.382382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01600 of size 256 next 30 2025-04-20 00:36:29.382393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01700 of size 256 next 31 2025-04-20 00:36:29.382405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01800 of size 256 next 33 2025-04-20 00:36:29.382416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01900 of size 256 next 34 2025-04-20 00:36:29.382428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01a00 of size 1024 next 32 2025-04-20 00:36:29.382439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e01e00 of size 1024 next 37 2025-04-20 00:36:29.382451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e02200 of size 1024 next 38 2025-04-20 00:36:29.382462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e02600 of size 1024 next 39 2025-04-20 00:36:29.382473: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e02a00 of size 1024 next 40 2025-04-20 00:36:29.382485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e02e00 of size 1024 next 41 2025-04-20 00:36:29.382496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e03200 of size 1024 next 43 2025-04-20 00:36:29.382507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e03600 of size 1024 next 44 2025-04-20 00:36:29.382519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e03a00 of size 1024 next 45 2025-04-20 00:36:29.382530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e03e00 of size 256 next 52 2025-04-20 00:36:29.382542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e03f00 of size 256 next 53 2025-04-20 00:36:29.382558: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04000 of size 256 next 56 2025-04-20 00:36:29.382569: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04100 of size 256 next 57 2025-04-20 00:36:29.382581: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04200 of size 1024 next 51 2025-04-20 00:36:29.382593: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04600 of size 512 next 118 2025-04-20 00:36:29.382604: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04800 of size 512 next 119 2025-04-20 00:36:29.382616: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04a00 of size 512 next 14 2025-04-20 00:36:29.382627: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04c00 of size 256 next 15 2025-04-20 00:36:29.382639: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04d00 of size 256 next 16 2025-04-20 00:36:29.382650: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e04e00 of size 1024 next 60 2025-04-20 00:36:29.382662: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e05200 of size 1024 next 61 2025-04-20 00:36:29.382673: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e05600 of size 1024 next 62 2025-04-20 00:36:29.382685: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e05a00 of size 1024 next 63 2025-04-20 00:36:29.382696: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e05e00 of size 256 next 26 2025-04-20 00:36:29.382717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e05f00 of size 256 next 64 2025-04-20 00:36:29.382729: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06000 of size 256 next 66 2025-04-20 00:36:29.382740: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06100 of size 256 next 67 2025-04-20 00:36:29.382751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06200 of size 256 next 68 2025-04-20 00:36:29.382763: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06300 of size 256 next 69 2025-04-20 00:36:29.382774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06400 of size 256 next 70 2025-04-20 00:36:29.382786: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06500 of size 256 next 73 2025-04-20 00:36:29.382797: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06600 of size 256 next 74 2025-04-20 00:36:29.382809: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06700 of size 256 next 75 2025-04-20 00:36:29.382820: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06800 of size 1024 next 77 2025-04-20 00:36:29.382832: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e06c00 of size 1024 next 79 2025-04-20 00:36:29.382843: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e07000 of size 1024 next 80 2025-04-20 00:36:29.382856: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e07400 of size 1024 next 81 2025-04-20 00:36:29.382871: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e07800 of size 1024 next 82 2025-04-20 00:36:29.382886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e07c00 of size 512 next 71 2025-04-20 00:36:29.382926: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e07e00 of size 512 next 83 2025-04-20 00:36:29.382942: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08000 of size 256 next 85 2025-04-20 00:36:29.382954: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08100 of size 256 next 86 2025-04-20 00:36:29.382965: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08200 of size 512 next 84 2025-04-20 00:36:29.382977: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08400 of size 512 next 88 2025-04-20 00:36:29.382988: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08600 of size 512 next 89 2025-04-20 00:36:29.382999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08800 of size 512 next 90 2025-04-20 00:36:29.383011: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08a00 of size 512 next 91 2025-04-20 00:36:29.383022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08c00 of size 256 next 93 2025-04-20 00:36:29.383033: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08d00 of size 256 next 94 2025-04-20 00:36:29.383045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e08e00 of size 512 next 92 2025-04-20 00:36:29.383056: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09000 of size 512 next 97 2025-04-20 00:36:29.383068: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09200 of size 512 next 98 2025-04-20 00:36:29.383079: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09400 of size 512 next 55 2025-04-20 00:36:29.383090: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09600 of size 512 next 2 2025-04-20 00:36:29.383102: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09800 of size 256 next 3 2025-04-20 00:36:29.383113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09900 of size 256 next 4 2025-04-20 00:36:29.383125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e09a00 of size 2048 next 99 2025-04-20 00:36:29.383146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0a200 of size 512 next 127 2025-04-20 00:36:29.383158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0a400 of size 2048 next 128 2025-04-20 00:36:29.383169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0ac00 of size 2048 next 129 2025-04-20 00:36:29.383181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0b400 of size 2048 next 130 2025-04-20 00:36:29.383192: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0bc00 of size 2048 next 131 2025-04-20 00:36:29.383204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0c400 of size 2048 next 132 2025-04-20 00:36:29.383215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0cc00 of size 512 next 111 2025-04-20 00:36:29.383227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0ce00 of size 512 next 134 2025-04-20 00:36:29.383238: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0d000 of size 512 next 136 2025-04-20 00:36:29.383249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0d200 of size 512 next 137 2025-04-20 00:36:29.383261: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0d400 of size 512 next 138 2025-04-20 00:36:29.383272: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0d600 of size 512 next 139 2025-04-20 00:36:29.383284: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0d800 of size 512 next 18 2025-04-20 00:36:29.383295: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0da00 of size 256 next 100 2025-04-20 00:36:29.383306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0db00 of size 256 next 101 2025-04-20 00:36:29.383318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0dc00 of size 2048 next 104 2025-04-20 00:36:29.383329: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0e400 of size 2048 next 105 2025-04-20 00:36:29.383341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0ec00 of size 2048 next 106 2025-04-20 00:36:29.383352: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0f400 of size 2048 next 107 2025-04-20 00:36:29.383364: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e0fc00 of size 2048 next 108 2025-04-20 00:36:29.383375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e10400 of size 256 next 109 2025-04-20 00:36:29.383387: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e10500 of size 256 next 110 2025-04-20 00:36:29.383398: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e10600 of size 2048 next 113 2025-04-20 00:36:29.383409: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e10e00 of size 2048 next 114 2025-04-20 00:36:29.383421: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e11600 of size 2048 next 115 2025-04-20 00:36:29.383432: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e11e00 of size 2048 next 116 2025-04-20 00:36:29.383444: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e12600 of size 512 next 120 2025-04-20 00:36:29.383455: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e12800 of size 512 next 122 2025-04-20 00:36:29.383466: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e12a00 of size 512 next 125 2025-04-20 00:36:29.383478: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e12c00 of size 512 next 6 2025-04-20 00:36:29.383490: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e12e00 of size 16384 next 752 2025-04-20 00:36:29.383501: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e16e00 of size 512 next 141 2025-04-20 00:36:29.383522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e17000 of size 512 next 143 2025-04-20 00:36:29.383534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e17200 of size 512 next 144 2025-04-20 00:36:29.383545: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e17400 of size 2048 next 135 2025-04-20 00:36:29.383557: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e17c00 of size 2048 next 146 2025-04-20 00:36:29.383568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e18400 of size 2048 next 147 2025-04-20 00:36:29.383579: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e18c00 of size 2048 next 148 2025-04-20 00:36:29.383591: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e19400 of size 2048 next 149 2025-04-20 00:36:29.383602: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e19c00 of size 512 next 145 2025-04-20 00:36:29.383614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e19e00 of size 512 next 151 2025-04-20 00:36:29.383625: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1a000 of size 512 next 153 2025-04-20 00:36:29.383637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1a200 of size 512 next 154 2025-04-20 00:36:29.383648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1a400 of size 512 next 155 2025-04-20 00:36:29.383659: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1a600 of size 512 next 156 2025-04-20 00:36:29.383671: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1a800 of size 512 next 157 2025-04-20 00:36:29.383682: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1aa00 of size 512 next 161 2025-04-20 00:36:29.383694: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1ac00 of size 512 next 162 2025-04-20 00:36:29.383705: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1ae00 of size 512 next 163 2025-04-20 00:36:29.383717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1b000 of size 2048 next 164 2025-04-20 00:36:29.383728: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1b800 of size 2048 next 165 2025-04-20 00:36:29.383739: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1c000 of size 2048 next 166 2025-04-20 00:36:29.383751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1c800 of size 2048 next 167 2025-04-20 00:36:29.383762: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1d000 of size 2048 next 168 2025-04-20 00:36:29.383774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1d800 of size 1024 next 169 2025-04-20 00:36:29.383785: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1dc00 of size 1024 next 170 2025-04-20 00:36:29.383797: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1e000 of size 1024 next 172 2025-04-20 00:36:29.383808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1e400 of size 1024 next 173 2025-04-20 00:36:29.383820: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1e800 of size 1024 next 174 2025-04-20 00:36:29.383831: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1ec00 of size 1024 next 175 2025-04-20 00:36:29.383843: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e1f000 of size 4096 next 140 2025-04-20 00:36:29.383854: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e20000 of size 4096 next 410 2025-04-20 00:36:29.383865: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e21000 of size 8192 next 385 2025-04-20 00:36:29.383877: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e23000 of size 22784 next 176 2025-04-20 00:36:29.383897: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e28900 of size 256 next 178 2025-04-20 00:36:29.383909: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e28a00 of size 256 next 179 2025-04-20 00:36:29.383928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e28b00 of size 1024 next 177 2025-04-20 00:36:29.383940: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e28f00 of size 1024 next 182 2025-04-20 00:36:29.383951: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e29300 of size 1024 next 183 2025-04-20 00:36:29.383964: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e29700 of size 1024 next 184 2025-04-20 00:36:29.383976: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e29b00 of size 1024 next 185 2025-04-20 00:36:29.383987: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e29f00 of size 256 next 187 2025-04-20 00:36:29.383999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e2a000 of size 256 next 188 2025-04-20 00:36:29.384010: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e2a100 of size 4096 next 186 2025-04-20 00:36:29.384022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e2b100 of size 4096 next 42 2025-04-20 00:36:29.384033: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e2c100 of size 65536 next 36 2025-04-20 00:36:29.384045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e3c100 of size 65536 next 35 2025-04-20 00:36:29.384055: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4c100 of size 4096 next 235 2025-04-20 00:36:29.384063: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4d100 of size 4096 next 236 2025-04-20 00:36:29.384072: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4e100 of size 4096 next 237 2025-04-20 00:36:29.384080: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4f100 of size 1024 next 228 2025-04-20 00:36:29.384088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4f500 of size 1024 next 238 2025-04-20 00:36:29.384095: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4f900 of size 1024 next 239 2025-04-20 00:36:29.384102: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e4fd00 of size 1024 next 240 2025-04-20 00:36:29.384108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e50100 of size 1024 next 241 2025-04-20 00:36:29.384115: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e50500 of size 1024 next 242 2025-04-20 00:36:29.384122: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e50900 of size 1024 next 243 2025-04-20 00:36:29.384129: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e50d00 of size 1024 next 246 2025-04-20 00:36:29.384136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e51100 of size 1024 next 247 2025-04-20 00:36:29.384142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e51500 of size 1024 next 248 2025-04-20 00:36:29.384149: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e51900 of size 4096 next 250 2025-04-20 00:36:29.384156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e52900 of size 4096 next 252 2025-04-20 00:36:29.384163: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e53900 of size 4096 next 253 2025-04-20 00:36:29.384169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e54900 of size 4096 next 254 2025-04-20 00:36:29.384179: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e55900 of size 4096 next 255 2025-04-20 00:36:29.384186: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e56900 of size 1024 next 232 2025-04-20 00:36:29.384193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e56d00 of size 1024 next 256 2025-04-20 00:36:29.384205: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e57100 of size 1024 next 257 2025-04-20 00:36:29.384212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e57500 of size 1024 next 258 2025-04-20 00:36:29.384219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e57900 of size 1024 next 259 2025-04-20 00:36:29.384226: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e57d00 of size 1024 next 260 2025-04-20 00:36:29.384232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e58100 of size 1024 next 261 2025-04-20 00:36:29.384239: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e58500 of size 1024 next 264 2025-04-20 00:36:29.384246: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e58900 of size 1024 next 265 2025-04-20 00:36:29.384253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e58d00 of size 1024 next 266 2025-04-20 00:36:29.384260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e59100 of size 4096 next 268 2025-04-20 00:36:29.384266: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5a100 of size 4096 next 270 2025-04-20 00:36:29.384273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5b100 of size 4096 next 271 2025-04-20 00:36:29.384280: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5c100 of size 4096 next 272 2025-04-20 00:36:29.384287: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5d100 of size 4096 next 273 2025-04-20 00:36:29.384293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5e100 of size 1024 next 267 2025-04-20 00:36:29.384300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5e500 of size 1024 next 274 2025-04-20 00:36:29.384307: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5e900 of size 1024 next 275 2025-04-20 00:36:29.384314: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5ed00 of size 1024 next 276 2025-04-20 00:36:29.384321: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5f100 of size 1024 next 277 2025-04-20 00:36:29.384327: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5f500 of size 1024 next 278 2025-04-20 00:36:29.384334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5f900 of size 1024 next 279 2025-04-20 00:36:29.384341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e5fd00 of size 1024 next 282 2025-04-20 00:36:29.384348: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e60100 of size 1024 next 283 2025-04-20 00:36:29.384355: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e60500 of size 1024 next 284 2025-04-20 00:36:29.384361: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e60900 of size 4096 next 286 2025-04-20 00:36:29.384368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e61900 of size 4096 next 288 2025-04-20 00:36:29.384375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e62900 of size 6144 next 27 2025-04-20 00:36:29.384382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e64100 of size 65536 next 753 2025-04-20 00:36:29.384389: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e74100 of size 147456 next 47 2025-04-20 00:36:29.384395: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596e98100 of size 65536 next 59 2025-04-20 00:36:29.384402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596ea8100 of size 65536 next 65 2025-04-20 00:36:29.384409: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f4596eb8100 of size 294656 next 18446744073709551615 2025-04-20 00:36:29.384416: I tensorflow/core/common_runtime/bfc_allocator.cc:995] Summary of in-use Chunks by size: 2025-04-20 00:36:29.384431: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 102 Chunks of size 256 totalling 25.5KiB 2025-04-20 00:36:29.384439: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 42 Chunks of size 512 totalling 21.0KiB 2025-04-20 00:36:29.384447: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 286 Chunks of size 1024 totalling 286.0KiB 2025-04-20 00:36:29.384454: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB 2025-04-20 00:36:29.384462: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1536 totalling 1.5KiB 2025-04-20 00:36:29.384469: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1792 totalling 1.8KiB 2025-04-20 00:36:29.384477: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 56 Chunks of size 2048 totalling 112.0KiB 2025-04-20 00:36:29.384484: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2560 totalling 2.5KiB 2025-04-20 00:36:29.384492: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 126 Chunks of size 4096 totalling 504.0KiB 2025-04-20 00:36:29.384499: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 5120 totalling 10.0KiB 2025-04-20 00:36:29.384507: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 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tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 355.48MiB 2025-04-20 00:36:29.384943: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 447610880 memory_limit_: 447610880 available bytes: 0 curr_region_allocation_bytes_: 536870912 2025-04-20 00:36:29.384953: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: Limit: 447610880 InUse: 372750848 MaxInUse: 445791744 NumAllocs: 4051 MaxAllocSize: 79298560 2025-04-20 00:36:29.384977: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ********************xxx*******__________**************____****************************************** 2025-04-20 00:36:29.385005: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at conv_ops.cc:538 : Resource exhausted: OOM when allocating tensor with shape[1,512,160,160] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc 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: (2448, 2448, 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: 2448.00000 error in detect the image : temp/1745102166_2838853_917877156_a9c2d4b99270c9302def4ed40606e685.jpg 2 root error(s) found. (0) Resource exhausted: OOM when allocating tensor with shape[1,512,160,160] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [[node rpn_model/rpn_conv_shared/convolution (defined at usr/local/lib/python3.8/dist-packages/keras/backend/tensorflow_backend.py:3007) ]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. [[mrcnn_detection/ExpandDims_1/_54]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. (1) Resource exhausted: OOM when allocating tensor with shape[1,512,160,160] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [[node rpn_model/rpn_conv_shared/convolution (defined at usr/local/lib/python3.8/dist-packages/keras/backend/tensorflow_backend.py:3007) ]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. 0 successful operations. 0 derived errors ignored. [Op:__inference_keras_scratch_graph_13584] Function call stack: keras_scratch_graph -> keras_scratch_graph Detection mask done ! Trying to reset tf kernel 2842149 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 3077 tf kernel not reseted sub process len(results) : 0 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 0 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 : 4186 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'] WARNING : results is empty ! time spent for convertir_results : 0.00019121170043945312 time spend for datou_step_exec : 26.281540632247925 time spend to save output : 4.363059997558594e-05 total time spend for step 1 : 26.2815842628479 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 ! begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 Catched exception ! Connect or reconnect ! time used for this insertion : 1.0909855365753174 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'917877156': [[], 'temp/1745102166_2838853_917877156_a9c2d4b99270c9302def4ed40606e685.jpg']} ERROR : list index out of range 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: 'list index out of range' /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/20042025/python_test3//data_2/data_log/job/2025/April/20042025/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 : 0.1833662986755371 #### 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 Sun Apr 20 00:36:34 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/1745102193_2838853_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094} map_photo_id_path_extension : {1189321094: {'path': 'temp/1745102193_2838853_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}} map_subphoto_mainphoto : {} Beginning of datou step sam ! pht : 4677 Inside sam : nb paths : 1 (640, 960, 3) time for calcul the mask position with numpy : 0.0021562576293945312 nb_pixel_total : 2938 time to create 1 rle with old method : 0.003542184829711914 time for calcul the mask position with numpy : 0.0015108585357666016 nb_pixel_total : 16232 time to create 1 rle with old method : 0.018725872039794922 time for calcul the mask position with numpy : 0.001506805419921875 nb_pixel_total : 5611 time to create 1 rle with old method : 0.006775379180908203 time for calcul the mask position with numpy : 0.0014495849609375 nb_pixel_total : 5409 time to create 1 rle with old method : 0.006601095199584961 time for calcul the mask position with numpy : 0.0015230178833007812 nb_pixel_total : 14693 time to create 1 rle with old method : 0.021279335021972656 time for calcul the mask position with numpy : 0.002501964569091797 nb_pixel_total : 84086 time to create 1 rle with old method : 0.09524178504943848 time for calcul the mask position with numpy : 0.001527547836303711 nb_pixel_total : 13949 time to create 1 rle with old method : 0.01575613021850586 time for calcul the mask position with numpy : 0.0014636516571044922 nb_pixel_total : 3781 time to create 1 rle with old method : 0.0043637752532958984 time for calcul the mask position with numpy : 0.0013773441314697266 nb_pixel_total : 5521 time to create 1 rle with old method : 0.006324052810668945 time for calcul the mask position with numpy : 0.0013632774353027344 nb_pixel_total : 10767 time to create 1 rle with old method : 0.011961698532104492 time for calcul the mask position with numpy : 0.001447439193725586 nb_pixel_total : 29432 time to create 1 rle with old method : 0.0323944091796875 time for calcul the mask position with numpy : 0.0013098716735839844 nb_pixel_total : 4278 time to create 1 rle with old method : 0.004643678665161133 time for calcul the mask position with numpy : 0.0013051033020019531 nb_pixel_total : 3089 time to create 1 rle with old method : 0.003558635711669922 time for calcul the mask position with numpy : 0.0014383792877197266 nb_pixel_total : 1227 time to create 1 rle with old method : 0.0015649795532226562 time for calcul the mask position with numpy : 0.0013179779052734375 nb_pixel_total : 2375 time to create 1 rle with old method : 0.0029234886169433594 time for calcul the mask position with numpy : 0.0014538764953613281 nb_pixel_total : 6637 time to create 1 rle with old method : 0.007723808288574219 time for calcul the mask position with numpy : 0.0014367103576660156 nb_pixel_total : 3953 time to create 1 rle with old method : 0.004670858383178711 time for calcul the mask position with numpy : 0.0013234615325927734 nb_pixel_total : 596 time to create 1 rle with old method : 0.0007877349853515625 time for calcul the mask position with numpy : 0.0014061927795410156 nb_pixel_total : 4248 time to create 1 rle with old method : 0.005180835723876953 time for calcul the mask position with numpy : 0.0013554096221923828 nb_pixel_total : 563 time to create 1 rle with old method : 0.0007352828979492188 time for calcul the mask position with numpy : 0.0013859272003173828 nb_pixel_total : 13180 time to create 1 rle with old method : 0.014934778213500977 time for calcul the mask position with numpy : 0.0013110637664794922 nb_pixel_total : 2079 time to create 1 rle with old method : 0.0024881362915039062 time for calcul the mask position with numpy : 0.0014507770538330078 nb_pixel_total : 4396 time to create 1 rle with old method : 0.0056078433990478516 time for calcul the mask position with numpy : 0.0014290809631347656 nb_pixel_total : 7625 time to create 1 rle with old method : 0.008614778518676758 time for calcul the mask position with numpy : 0.0013773441314697266 nb_pixel_total : 8683 time to create 1 rle with old method : 0.009881019592285156 time for calcul the mask position with numpy : 0.001386404037475586 nb_pixel_total : 8637 time to create 1 rle with old method : 0.009792327880859375 time for calcul the mask position with numpy : 0.0013589859008789062 nb_pixel_total : 12684 time to create 1 rle with old method : 0.014457225799560547 time for calcul the mask position with numpy : 0.0013642311096191406 nb_pixel_total : 2393 time to create 1 rle with old method : 0.0029497146606445312 time for calcul the mask position with numpy : 0.001405954360961914 nb_pixel_total : 16471 time to create 1 rle with old method : 0.018503904342651367 time for calcul the mask position with numpy : 0.001493215560913086 nb_pixel_total : 39055 time to create 1 rle with old method : 0.04365849494934082 time for calcul the mask position with numpy : 0.001355886459350586 nb_pixel_total : 3306 time to create 1 rle with old method : 0.0038852691650390625 time for calcul the mask position with numpy : 0.0013360977172851562 nb_pixel_total : 9883 time to create 1 rle with old method : 0.011256217956542969 time for calcul the mask position with numpy : 0.001344919204711914 nb_pixel_total : 3586 time to create 1 rle with old method : 0.0040454864501953125 time for calcul the mask position with numpy : 0.0013582706451416016 nb_pixel_total : 1596 time to create 1 rle with old method : 0.0018143653869628906 time for calcul the mask position with numpy : 0.001294851303100586 nb_pixel_total : 2447 time to create 1 rle with old method : 0.002941131591796875 time for calcul the mask position with numpy : 0.0013017654418945312 nb_pixel_total : 2727 time to create 1 rle with old method : 0.003221273422241211 time for calcul the mask position with numpy : 0.001352071762084961 nb_pixel_total : 13021 time to create 1 rle with old method : 0.015019416809082031 time for calcul the mask position with numpy : 0.0013453960418701172 nb_pixel_total : 1022 time to create 1 rle with old method : 0.001283407211303711 time for calcul the mask position with numpy : 0.0013456344604492188 nb_pixel_total : 2774 time to create 1 rle with old method : 0.003202676773071289 time for calcul the mask position with numpy : 0.0012958049774169922 nb_pixel_total : 1320 time to create 1 rle with old method : 0.00170135498046875 time for calcul the mask position with numpy : 0.001378774642944336 nb_pixel_total : 4127 time to create 1 rle with old method : 0.0047528743743896484 time for calcul the mask position with numpy : 0.0013842582702636719 nb_pixel_total : 950 time to create 1 rle with old method : 0.0011878013610839844 time for calcul the mask position with numpy : 0.001435995101928711 nb_pixel_total : 10578 time to create 1 rle with old method : 0.012001276016235352 time for calcul the mask position with numpy : 0.0014638900756835938 nb_pixel_total : 16549 time to create 1 rle with old method : 0.01900339126586914 time for calcul the mask position with numpy : 0.0012922286987304688 nb_pixel_total : 1648 time to create 1 rle with old method : 0.0018475055694580078 time for calcul the mask position with numpy : 0.0012981891632080078 nb_pixel_total : 343 time to create 1 rle with old method : 0.0004153251647949219 time for calcul the mask position with numpy : 0.0012874603271484375 nb_pixel_total : 713 time to create 1 rle with old method : 0.0008585453033447266 time for calcul the mask position with numpy : 0.0012781620025634766 nb_pixel_total : 1255 time to create 1 rle with old method : 0.0013644695281982422 time for calcul the mask position with numpy : 0.00128173828125 nb_pixel_total : 3847 time to create 1 rle with old method : 0.0045185089111328125 time for calcul the mask position with numpy : 0.0014600753784179688 nb_pixel_total : 4183 time to create 1 rle with old method : 0.005069732666015625 time for calcul the mask position with numpy : 0.0015363693237304688 nb_pixel_total : 18476 time to create 1 rle with old method : 0.021493911743164062 time for calcul the mask position with numpy : 0.001474142074584961 nb_pixel_total : 2328 time to create 1 rle with old method : 0.0028705596923828125 time for calcul the mask position with numpy : 0.0014581680297851562 nb_pixel_total : 2052 time to create 1 rle with old method : 0.0025243759155273438 time for calcul the mask position with numpy : 0.0014569759368896484 nb_pixel_total : 863 time to create 1 rle with old method : 0.0011997222900390625 time for calcul the mask position with numpy : 0.001650094985961914 nb_pixel_total : 39265 time to create 1 rle with old method : 0.04881548881530762 time for calcul the mask position with numpy : 0.0015447139739990234 nb_pixel_total : 875 time to create 1 rle with old method : 0.0011849403381347656 time for calcul the mask position with numpy : 0.0014350414276123047 nb_pixel_total : 1203 time to create 1 rle with old method : 0.0015518665313720703 time for calcul the mask position with numpy : 0.0014252662658691406 nb_pixel_total : 887 time to create 1 rle with old method : 0.0011429786682128906 time for calcul the mask position with numpy : 0.0014307498931884766 nb_pixel_total : 1677 time to create 1 rle with old method : 0.0022094249725341797 time for calcul the mask position with numpy : 0.001455068588256836 nb_pixel_total : 2407 time to create 1 rle with old method : 0.003154277801513672 time for calcul the mask position with numpy : 0.0014262199401855469 nb_pixel_total : 693 time to create 1 rle with old method : 0.0009362697601318359 time for calcul the mask position with numpy : 0.001497507095336914 nb_pixel_total : 1702 time to create 1 rle with old method : 0.002153158187866211 time for calcul the mask position with numpy : 0.0014777183532714844 nb_pixel_total : 1079 time to create 1 rle with old method : 0.0014188289642333984 time for calcul the mask position with numpy : 0.00144195556640625 nb_pixel_total : 334 time to create 1 rle with old method : 0.00046825408935546875 time for calcul the mask position with numpy : 0.0014770030975341797 nb_pixel_total : 491 time to create 1 rle with old method : 0.0006933212280273438 time for calcul the mask position with numpy : 0.0014674663543701172 nb_pixel_total : 1202 time to create 1 rle with old method : 0.0015468597412109375 time for calcul the mask position with numpy : 0.001463174819946289 nb_pixel_total : 1066 time to create 1 rle with old method : 0.0014636516571044922 time for calcul the mask position with numpy : 0.0014793872833251953 nb_pixel_total : 3163 time to create 1 rle with old method : 0.003884553909301758 time for calcul the mask position with numpy : 0.0016050338745117188 nb_pixel_total : 27740 time to create 1 rle with old method : 0.03345036506652832 time for calcul the mask position with numpy : 0.0015027523040771484 nb_pixel_total : 586 time to create 1 rle with old method : 0.0007872581481933594 time for calcul the mask position with numpy : 0.0014722347259521484 nb_pixel_total : 2768 time to create 1 rle with old method : 0.0034759044647216797 time for calcul the mask position with numpy : 0.0014605522155761719 nb_pixel_total : 1824 time to create 1 rle with old method : 0.0023186206817626953 time for calcul the mask position with numpy : 0.0014636516571044922 nb_pixel_total : 1743 time to create 1 rle with old method : 0.0021402835845947266 time for calcul the mask position with numpy : 0.0015184879302978516 nb_pixel_total : 1513 time to create 1 rle with old method : 0.0018405914306640625 time for calcul the mask position with numpy : 0.0014259815216064453 nb_pixel_total : 268 time to create 1 rle with old method : 0.00036597251892089844 time for calcul the mask position with numpy : 0.0013878345489501953 nb_pixel_total : 969 time to create 1 rle with old method : 0.001119375228881836 time for calcul the mask position with numpy : 0.0014536380767822266 nb_pixel_total : 7376 time to create 1 rle with old method : 0.008352518081665039 time for calcul the mask position with numpy : 0.0014314651489257812 nb_pixel_total : 615 time to create 1 rle with old method : 0.0007975101470947266 time for calcul the mask position with numpy : 0.0014810562133789062 nb_pixel_total : 8460 time to create 1 rle with old method : 0.009882211685180664 time for calcul the mask position with numpy : 0.0014348030090332031 nb_pixel_total : 247 time to create 1 rle with old method : 0.0003571510314941406 time for calcul the mask position with numpy : 0.0014269351959228516 nb_pixel_total : 970 time to create 1 rle with old method : 0.0012121200561523438 time for calcul the mask position with numpy : 0.0013632774353027344 nb_pixel_total : 734 time to create 1 rle with old method : 0.0010457038879394531 time for calcul the mask position with numpy : 0.0014109611511230469 nb_pixel_total : 9173 time to create 1 rle with old method : 0.01125788688659668 time for calcul the mask position with numpy : 0.0014269351959228516 nb_pixel_total : 9471 time to create 1 rle with old method : 0.011059761047363281 time for calcul the mask position with numpy : 0.0014524459838867188 nb_pixel_total : 1088 time to create 1 rle with old method : 0.0013377666473388672 time for calcul the mask position with numpy : 0.001390218734741211 nb_pixel_total : 222 time to create 1 rle with old method : 0.0003333091735839844 time for calcul the mask position with numpy : 0.00142669677734375 nb_pixel_total : 1633 time to create 1 rle with old method : 0.0020608901977539062 time for calcul the mask position with numpy : 0.0014352798461914062 nb_pixel_total : 1485 time to create 1 rle with old method : 0.0017900466918945312 time for calcul the mask position with numpy : 0.0013849735260009766 nb_pixel_total : 5012 time to create 1 rle with old method : 0.0061168670654296875 time for calcul the mask position with numpy : 0.0014183521270751953 nb_pixel_total : 1437 time to create 1 rle with old method : 0.0018470287322998047 time for calcul the mask position with numpy : 0.0013887882232666016 nb_pixel_total : 300 time to create 1 rle with old method : 0.0004475116729736328 time for calcul the mask position with numpy : 0.0014407634735107422 nb_pixel_total : 1443 time to create 1 rle with old method : 0.001795053482055664 time for calcul the mask position with numpy : 0.0013179779052734375 nb_pixel_total : 595 time to create 1 rle with old method : 0.0008037090301513672 time for calcul the mask position with numpy : 0.0014157295227050781 nb_pixel_total : 889 time to create 1 rle with old method : 0.0011398792266845703 time for calcul the mask position with numpy : 0.0014195442199707031 nb_pixel_total : 1627 time to create 1 rle with old method : 0.002045869827270508 time for calcul the mask position with numpy : 0.0014429092407226562 nb_pixel_total : 1120 time to create 1 rle with old method : 0.0013997554779052734 time for calcul the mask position with numpy : 0.0017304420471191406 nb_pixel_total : 7404 time to create 1 rle with old method : 0.0093994140625 time for calcul the mask position with numpy : 0.0014157295227050781 nb_pixel_total : 916 time to create 1 rle with old method : 0.001336812973022461 time for calcul the mask position with numpy : 0.0014340877532958984 nb_pixel_total : 2199 time to create 1 rle with old method : 0.00286102294921875 time for calcul the mask position with numpy : 0.0014140605926513672 nb_pixel_total : 482 time to create 1 rle with old method : 0.0006344318389892578 time for calcul the mask position with numpy : 0.0013821125030517578 nb_pixel_total : 946 time to create 1 rle with old method : 0.0014221668243408203 time for calcul the mask position with numpy : 0.0014271736145019531 nb_pixel_total : 885 time to create 1 rle with old method : 0.0011878013610839844 time for calcul the mask position with numpy : 0.0014491081237792969 nb_pixel_total : 1320 time to create 1 rle with old method : 0.0017371177673339844 time for calcul the mask position with numpy : 0.00142669677734375 nb_pixel_total : 830 time to create 1 rle with old method : 0.0011050701141357422 insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) batch 1 Loaded 104 chid ids of type : 4677 Number RLEs to save : 9521 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3759778968', '103', '565', '1') ... last line : ('3759779071', '815', '44', '5') INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) TO DO : save crop sub photo not yet done ! After datou_step_exec type output : map_portfolio_photo : len 0 keys : dict_keys([]) Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : sam we use saveGeneral [1189321094] map_info['map_portfolio_photo'] : {} final : True mtd_id 4573 list_pids : [1189321094] Looping around the photos to save general results len do output : 1 /1189321094Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4573', None, None, None, None, None, None, None, None) ('4573', None, '1189321094', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 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', 'None', None, None, None, None, None)] time used for this insertion : 0.012064218521118164 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.02742314338684 time spend to save output : 0.012279510498046875 total time spend for step 1 : 11.039702653884888 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'1189321094': [[, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'temp/1745102193_2838853_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png']} nb_objects detect : 104 ############################### 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 : 0.10207772254943848 #### 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 Sun Apr 20 00:36:45 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/1745102205_2838853_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606} map_photo_id_path_extension : {917754606: {'path': 'temp/1745102205_2838853_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 F0420 00:36:47.613157 2838853 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** Command terminated by signal 6 35.73user 20.60system 1:22.13elapsed 68%CPU (0avgtext+0avgdata 3463820maxresident)k 3298160inputs+4432outputs (6725major+2985501minor)pagefaults 0swaps