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
<module 'tests.mask_test' from '/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 : 353

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 : 0.11148285865783691
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Tue Jul 22 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
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 353
wait 20 seconds
l 3637 free memory gpu now : 353  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
2025-07-22 00:35:50.896723: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-22 00:35:50.923459: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-22 00:35:50.925513: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2620000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-22 00:35:50.925579: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-22 00:35:50.929063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-22 00:35:51.083363: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x42e64560 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-22 00:35:51.083407: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-22 00:35:51.084302: 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
2025-07-22 00:35:51.084680: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:35:51.087672: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:35:51.090269: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:35:51.094364: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:35:51.096782: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:35:51.098012: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:35:51.102869: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:35:51.103848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:35:51.103921: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:35:51.104455: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-22 00:35:51.104474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-22 00:35:51.104484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-22 00:35:51.105367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 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
2025-07-22 00:35:51.686298: 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
2025-07-22 00:35:51.686382: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:35:51.686405: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:35:51.686427: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:35:51.686448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:35:51.686468: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:35:51.686500: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:35:51.686522: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:35:51.687337: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:35:51.688197: 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
2025-07-22 00:35:51.688235: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:35:51.688254: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:35:51.688271: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:35:51.688288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:35:51.688305: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:35:51.688322: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:35:51.688339: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:35:51.689122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:35:51.689153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-22 00:35:51.689163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-22 00:35:51.689173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-22 00:35:51.689994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-22 00:35:52.468444: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 32.00M (33554432 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.468971: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 28.80M (30199040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.469433: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 25.92M (27179264 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.469886: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 23.33M (24461568 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.470362: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 21.00M (22015488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.470860: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 18.90M (19814144 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.471385: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 17.01M (17832960 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.471880: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 15.31M (16049664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.472370: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.472877: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.535602: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:35:52.536109: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:02.537124: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:02.537954: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:02.537984: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25MiB (rounded to 2359296)
Current allocation summary follows.
2025-07-22 00:36:02.538005: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-22 00:36:02.538023: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-07-22 00:36:02.538039: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): 	Total Chunks: 40, Chunks in use: 40. 20.0KiB allocated for chunks. 20.0KiB in use in bin. 20.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538054: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538069: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): 	Total Chunks: 25, Chunks in use: 25. 50.0KiB allocated for chunks. 50.0KiB in use in bin. 50.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538085: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538100: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:02.538115: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): 	Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538130: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-07-22 00:36:02.538146: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): 	Total Chunks: 6, Chunks in use: 6. 384.0KiB allocated for chunks. 384.0KiB in use in bin. 384.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538161: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-22 00:36:02.538176: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-22 00:36:02.538190: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): 	Total Chunks: 8, Chunks in use: 6. 4.95MiB allocated for chunks. 3.44MiB in use in bin. 3.25MiB client-requested in use in bin.
2025-07-22 00:36:02.538206: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-07-22 00:36:02.538236: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-07-22 00:36:02.538251: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-07-22 00:36:02.538264: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:02.538278: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:02.538291: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:02.538304: 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.
2025-07-22 00:36:02.538317: 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.
2025-07-22 00:36:02.538330: 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.
2025-07-22 00:36:02.538343: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-22 00:36:02.538355: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-22 00:36:02.538371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442000000 of size 2359296 next 181
2025-07-22 00:36:02.538383: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442240000 of size 2097152 next 196
2025-07-22 00:36:02.538395: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442440000 of size 1048576 next 216
2025-07-22 00:36:02.538406: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f2442540000 of size 1310720 next 209
2025-07-22 00:36:02.538418: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442680000 of size 2359296 next 208
2025-07-22 00:36:02.538429: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24428c0000 of size 1048576 next 234
2025-07-22 00:36:02.538441: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24429c0000 of size 1310720 next 228
2025-07-22 00:36:02.538453: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442b00000 of size 2359296 next 227
2025-07-22 00:36:02.538464: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442d40000 of size 2883584 next 18446744073709551615
2025-07-22 00:36:02.538476: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-07-22 00:36:02.538487: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2443000000 of size 2359296 next 245
2025-07-22 00:36:02.538499: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2443240000 of size 1048576 next 269
2025-07-22 00:36:02.538510: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2443340000 of size 1310720 next 263
2025-07-22 00:36:02.538521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2443480000 of size 2359296 next 262
2025-07-22 00:36:02.538533: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24436c0000 of size 4622592 next 18446744073709551615
2025-07-22 00:36:02.538544: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-22 00:36:02.538565: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444600000 of size 147456 next 55
2025-07-22 00:36:02.538577: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444624000 of size 65536 next 78
2025-07-22 00:36:02.538590: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444634000 of size 4096 next 191
2025-07-22 00:36:02.538601: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444635000 of size 4096 next 192
2025-07-22 00:36:02.538613: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444636000 of size 4096 next 193
2025-07-22 00:36:02.538624: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444637000 of size 256 next 194
2025-07-22 00:36:02.538636: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444637100 of size 256 next 195
2025-07-22 00:36:02.538647: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444637200 of size 4096 next 197
2025-07-22 00:36:02.538659: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444638200 of size 4096 next 198
2025-07-22 00:36:02.538670: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444639200 of size 4096 next 199
2025-07-22 00:36:02.538681: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463a200 of size 4096 next 200
2025-07-22 00:36:02.538693: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463b200 of size 4096 next 201
2025-07-22 00:36:02.538704: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463c200 of size 1024 next 202
2025-07-22 00:36:02.538716: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463c600 of size 1024 next 204
2025-07-22 00:36:02.538727: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463ca00 of size 1024 next 205
2025-07-22 00:36:02.538738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463ce00 of size 1024 next 206
2025-07-22 00:36:02.538750: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463d200 of size 1024 next 207
2025-07-22 00:36:02.538761: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463d600 of size 1024 next 210
2025-07-22 00:36:02.538772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463da00 of size 1024 next 211
2025-07-22 00:36:02.538784: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463de00 of size 1024 next 212
2025-07-22 00:36:02.538795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463e200 of size 1024 next 213
2025-07-22 00:36:02.538806: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463e600 of size 1024 next 214
2025-07-22 00:36:02.538818: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463ea00 of size 4096 next 215
2025-07-22 00:36:02.538829: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244463fa00 of size 4096 next 217
2025-07-22 00:36:02.538840: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444640a00 of size 4096 next 218
2025-07-22 00:36:02.538852: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444641a00 of size 4096 next 219
2025-07-22 00:36:02.538863: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444642a00 of size 4096 next 220
2025-07-22 00:36:02.538874: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444643a00 of size 1024 next 221
2025-07-22 00:36:02.538886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444643e00 of size 1024 next 223
2025-07-22 00:36:02.538897: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444644200 of size 1024 next 224
2025-07-22 00:36:02.538908: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444644600 of size 1024 next 225
2025-07-22 00:36:02.538920: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444644a00 of size 1024 next 226
2025-07-22 00:36:02.538939: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444644e00 of size 1024 next 229
2025-07-22 00:36:02.538951: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444645200 of size 1024 next 230
2025-07-22 00:36:02.538963: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444645600 of size 1024 next 231
2025-07-22 00:36:02.538974: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444645a00 of size 1024 next 232
2025-07-22 00:36:02.538985: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444645e00 of size 1024 next 233
2025-07-22 00:36:02.538997: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444646200 of size 7680 next 72
2025-07-22 00:36:02.539009: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444648000 of size 147456 next 71
2025-07-22 00:36:02.539020: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f244466c000 of size 131072 next 87
2025-07-22 00:36:02.539032: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f244468c000 of size 262144 next 103
2025-07-22 00:36:02.539044: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24446cc000 of size 262144 next 102
2025-07-22 00:36:02.539055: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f244470c000 of size 999424 next 18446744073709551615
2025-07-22 00:36:02.539066: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-07-22 00:36:02.539079: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444800000 of size 589824 next 96
2025-07-22 00:36:02.539090: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444890000 of size 262144 next 117
2025-07-22 00:36:02.539101: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f24448d0000 of size 262144 next 112
2025-07-22 00:36:02.539113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444910000 of size 524288 next 111
2025-07-22 00:36:02.539125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444990000 of size 262144 next 135
2025-07-22 00:36:02.539137: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24449d0000 of size 327680 next 124
2025-07-22 00:36:02.539148: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444a20000 of size 589824 next 123
2025-07-22 00:36:02.539175: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444ab0000 of size 262144 next 152
2025-07-22 00:36:02.539189: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444af0000 of size 327680 next 142
2025-07-22 00:36:02.539201: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444b40000 of size 786432 next 18446744073709551615
2025-07-22 00:36:02.539212: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-07-22 00:36:02.539224: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f2444c00000 of size 589824 next 160
2025-07-22 00:36:02.539235: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444c90000 of size 589824 next 158
2025-07-22 00:36:02.539247: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444d20000 of size 524288 next 171
2025-07-22 00:36:02.539258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f2444da0000 of size 1048576 next 222
2025-07-22 00:36:02.539269: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444ea0000 of size 1048576 next 190
2025-07-22 00:36:02.539281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2444fa0000 of size 1048576 next 189
2025-07-22 00:36:02.539292: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24450a0000 of size 1048576 next 203
2025-07-22 00:36:02.539304: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24451a0000 of size 1048576 next 251
2025-07-22 00:36:02.539315: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24452a0000 of size 1441792 next 18446744073709551615
2025-07-22 00:36:02.539335: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-07-22 00:36:02.539347: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00000 of size 1280 next 1
2025-07-22 00:36:02.539359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00500 of size 256 next 5
2025-07-22 00:36:02.539370: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00600 of size 256 next 8
2025-07-22 00:36:02.539382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00700 of size 256 next 9
2025-07-22 00:36:02.539393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00800 of size 256 next 10
2025-07-22 00:36:02.539404: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00900 of size 256 next 11
2025-07-22 00:36:02.539416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00a00 of size 256 next 12
2025-07-22 00:36:02.539427: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00b00 of size 256 next 13
2025-07-22 00:36:02.539438: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00c00 of size 256 next 17
2025-07-22 00:36:02.539450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00d00 of size 256 next 19
2025-07-22 00:36:02.539461: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00e00 of size 256 next 20
2025-07-22 00:36:02.539472: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce00f00 of size 256 next 21
2025-07-22 00:36:02.539483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01000 of size 256 next 22
2025-07-22 00:36:02.539495: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01100 of size 256 next 24
2025-07-22 00:36:02.539506: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01200 of size 256 next 25
2025-07-22 00:36:02.539517: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01300 of size 256 next 23
2025-07-22 00:36:02.539529: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01400 of size 256 next 28
2025-07-22 00:36:02.539540: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01500 of size 256 next 29
2025-07-22 00:36:02.539551: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01600 of size 256 next 30
2025-07-22 00:36:02.539562: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01700 of size 256 next 31
2025-07-22 00:36:02.539574: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01800 of size 256 next 33
2025-07-22 00:36:02.539585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01900 of size 256 next 34
2025-07-22 00:36:02.539596: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01a00 of size 1024 next 32
2025-07-22 00:36:02.539608: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce01e00 of size 1024 next 37
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2025-07-22 00:36:02.541114: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce29f00 of size 256 next 187
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2025-07-22 00:36:02.541136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2a100 of size 4096 next 186
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2025-07-22 00:36:02.541159: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2c100 of size 65536 next 36
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2025-07-22 00:36:02.541236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce50100 of size 1024 next 239
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2025-07-22 00:36:02.541383: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce55900 of size 4096 next 255
2025-07-22 00:36:02.541394: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce56900 of size 4096 next 256
2025-07-22 00:36:02.541406: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce57900 of size 1024 next 257
2025-07-22 00:36:02.541417: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce57d00 of size 1024 next 258
2025-07-22 00:36:02.541428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58100 of size 1024 next 259
2025-07-22 00:36:02.541440: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58500 of size 1024 next 260
2025-07-22 00:36:02.541451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58900 of size 1024 next 261
2025-07-22 00:36:02.541462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58d00 of size 1024 next 264
2025-07-22 00:36:02.541473: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59100 of size 1024 next 265
2025-07-22 00:36:02.541485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59500 of size 1024 next 266
2025-07-22 00:36:02.541496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59900 of size 1024 next 267
2025-07-22 00:36:02.541507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59d00 of size 1024 next 268
2025-07-22 00:36:02.541519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5a100 of size 4096 next 270
2025-07-22 00:36:02.541530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5b100 of size 4096 next 271
2025-07-22 00:36:02.541541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5c100 of size 4096 next 272
2025-07-22 00:36:02.541552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5d100 of size 4096 next 273
2025-07-22 00:36:02.541564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5e100 of size 4096 next 274
2025-07-22 00:36:02.541575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f100 of size 1024 next 275
2025-07-22 00:36:02.541594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f500 of size 1024 next 276
2025-07-22 00:36:02.541606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f900 of size 1024 next 277
2025-07-22 00:36:02.541617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5fd00 of size 1024 next 278
2025-07-22 00:36:02.541628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce60100 of size 1024 next 279
2025-07-22 00:36:02.541640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f257ce60500 of size 15360 next 27
2025-07-22 00:36:02.541651: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce64100 of size 147456 next 26
2025-07-22 00:36:02.541662: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce88100 of size 65536 next 47
2025-07-22 00:36:02.541674: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce98100 of size 65536 next 59
2025-07-22 00:36:02.541685: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257cea8100 of size 65536 next 65
2025-07-22 00:36:02.541697: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ceb8100 of size 294656 next 18446744073709551615
2025-07-22 00:36:02.541708: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-22 00:36:02.541722: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-22 00:36:02.541736: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-22 00:36:02.541748: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-07-22 00:36:02.541761: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-22 00:36:02.541774: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-22 00:36:02.541787: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-07-22 00:36:02.541799: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-22 00:36:02.541812: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-22 00:36:02.541825: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-22 00:36:02.541838: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-22 00:36:02.541851: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-22 00:36:02.541863: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-22 00:36:02.541876: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-22 00:36:02.541889: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-22 00:36:02.541902: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-22 00:36:02.541914: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-22 00:36:02.541927: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-22 00:36:02.541940: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-22 00:36:02.541952: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-07-22 00:36:02.541965: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-07-22 00:36:02.541977: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-22 00:36:02.541990: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-22 00:36:02.542011: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-07-22 00:36:02.542024: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-22 00:36:02.542037: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-07-22 00:36:02.542049: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-07-22 00:36:02.542061: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 211943424 available bytes: 167737088 curr_region_allocation_bytes_: 67108864
2025-07-22 00:36:02.542076: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   211943424
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-07-22 00:36:02.542097: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-07-22 00:36:02.542137: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


 Exception in mask_detect :  OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:Add]
we want to redo the detection
Using TensorFlow backend.
max_time_sub_proc : 3600
erreur pendant la detection
Useless call to update_current_state
in case -12
caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
ERROR : mask output needs to be a dictionnary now !
No output to save, continue without doing anything !

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : -12
free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 22

############################### TEST detect object  ################################

run mask_detect

Inside batchDatouExec : verbose : False
Catched exception !
Connect or reconnect !
# 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 : 0.14937448501586914
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Tue Jul 22 00:36:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 353
wait 20 seconds
l 3637 free memory gpu now : 353  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-07-22 00:36:26.877819: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-22 00:36:26.903391: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-22 00:36:26.905598: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2620000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-22 00:36:26.905646: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-22 00:36:26.909487: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-22 00:36:27.047389: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4392c070 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-22 00:36:27.047438: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-22 00:36:27.048338: 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
2025-07-22 00:36:27.048691: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:36:27.051685: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:36:27.053713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:36:27.054058: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:36:27.056385: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:36:27.057592: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:36:27.062207: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:36:27.063143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:36:27.063264: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:36:27.063796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-22 00:36:27.063818: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-22 00:36:27.063831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-22 00:36:27.064639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 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
2025-07-22 00:36:27.597124: 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
2025-07-22 00:36:27.597221: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:36:27.597247: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:36:27.597270: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:36:27.597293: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:36:27.597316: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:36:27.597337: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:36:27.597360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:36:27.598177: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:36:27.599481: 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
2025-07-22 00:36:27.599552: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-22 00:36:27.599572: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-22 00:36:27.599590: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-22 00:36:27.599608: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-22 00:36:27.599626: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-22 00:36:27.599644: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-22 00:36:27.599661: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-22 00:36:27.600413: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-22 00:36:27.600450: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-22 00:36:27.600459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-22 00:36:27.600467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-22 00:36:27.601176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-22 00:36:28.409652: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 32.00M (33554432 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.410351: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 28.80M (30199040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.411021: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 25.92M (27179264 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.411701: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 23.33M (24461568 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.412319: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 21.00M (22015488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.412907: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 18.90M (19814144 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.413370: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 17.01M (17832960 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.413824: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 15.31M (16049664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.414283: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.414740: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.478231: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:28.478707: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:38.479734: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:38.480561: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-22 00:36:38.480591: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25MiB (rounded to 2359296)
Current allocation summary follows.
2025-07-22 00:36:38.480613: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-22 00:36:38.480631: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-07-22 00:36:38.480646: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): 	Total Chunks: 40, Chunks in use: 40. 20.0KiB allocated for chunks. 20.0KiB in use in bin. 20.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480662: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480677: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): 	Total Chunks: 25, Chunks in use: 25. 50.0KiB allocated for chunks. 50.0KiB in use in bin. 50.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480693: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480707: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:38.480722: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): 	Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480737: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-07-22 00:36:38.480773: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): 	Total Chunks: 6, Chunks in use: 6. 384.0KiB allocated for chunks. 384.0KiB in use in bin. 384.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480789: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-22 00:36:38.480803: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-22 00:36:38.480818: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): 	Total Chunks: 8, Chunks in use: 6. 4.95MiB allocated for chunks. 3.44MiB in use in bin. 3.25MiB client-requested in use in bin.
2025-07-22 00:36:38.480833: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-07-22 00:36:38.480848: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-07-22 00:36:38.480862: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-07-22 00:36:38.480876: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:38.480889: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:38.480902: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-22 00:36:38.480915: 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.
2025-07-22 00:36:38.480928: 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.
2025-07-22 00:36:38.480941: 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.
2025-07-22 00:36:38.480954: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-22 00:36:38.480966: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-22 00:36:38.480982: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440000000 of size 2359296 next 181
2025-07-22 00:36:38.480994: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440240000 of size 2097152 next 196
2025-07-22 00:36:38.481006: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440440000 of size 1048576 next 216
2025-07-22 00:36:38.481017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f2440540000 of size 1310720 next 209
2025-07-22 00:36:38.481029: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440680000 of size 2359296 next 208
2025-07-22 00:36:38.481040: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24408c0000 of size 1048576 next 234
2025-07-22 00:36:38.481052: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24409c0000 of size 1310720 next 228
2025-07-22 00:36:38.481064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440b00000 of size 2359296 next 227
2025-07-22 00:36:38.481084: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2440d40000 of size 2883584 next 18446744073709551615
2025-07-22 00:36:38.481096: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-07-22 00:36:38.481108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2441000000 of size 2359296 next 245
2025-07-22 00:36:38.481120: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2441240000 of size 1048576 next 269
2025-07-22 00:36:38.481131: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2441340000 of size 1310720 next 263
2025-07-22 00:36:38.481142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2441480000 of size 2359296 next 262
2025-07-22 00:36:38.481154: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f24416c0000 of size 4622592 next 18446744073709551615
2025-07-22 00:36:38.481165: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-22 00:36:38.481177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442600000 of size 147456 next 55
2025-07-22 00:36:38.481189: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442624000 of size 65536 next 78
2025-07-22 00:36:38.481201: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442634000 of size 4096 next 191
2025-07-22 00:36:38.481213: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442635000 of size 4096 next 192
2025-07-22 00:36:38.481224: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442636000 of size 4096 next 193
2025-07-22 00:36:38.481236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442637000 of size 256 next 194
2025-07-22 00:36:38.481247: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442637100 of size 256 next 195
2025-07-22 00:36:38.481259: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442637200 of size 4096 next 197
2025-07-22 00:36:38.481270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442638200 of size 4096 next 198
2025-07-22 00:36:38.481281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442639200 of size 4096 next 199
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2025-07-22 00:36:38.481643: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f244268c000 of size 262144 next 103
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2025-07-22 00:36:38.481678: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-07-22 00:36:38.481690: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f2442800000 of size 589824 next 96
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2025-07-22 00:36:38.481817: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f2442c00000 of size 589824 next 160
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2025-07-22 00:36:38.483059: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1c100 of size 512 next 118
2025-07-22 00:36:38.483071: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1c300 of size 512 next 119
2025-07-22 00:36:38.483082: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1c500 of size 512 next 120
2025-07-22 00:36:38.483093: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1c700 of size 512 next 121
2025-07-22 00:36:38.483105: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1c900 of size 512 next 122
2025-07-22 00:36:38.483116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1cb00 of size 512 next 125
2025-07-22 00:36:38.483127: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1cd00 of size 512 next 126
2025-07-22 00:36:38.483139: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1cf00 of size 512 next 127
2025-07-22 00:36:38.483150: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1d100 of size 512 next 128
2025-07-22 00:36:38.483176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1d300 of size 512 next 129
2025-07-22 00:36:38.483188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1d500 of size 2048 next 130
2025-07-22 00:36:38.483200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1dd00 of size 2048 next 131
2025-07-22 00:36:38.483211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1e500 of size 2048 next 132
2025-07-22 00:36:38.483223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1ed00 of size 2048 next 133
2025-07-22 00:36:38.483234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1f500 of size 2048 next 134
2025-07-22 00:36:38.483245: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1fd00 of size 512 next 136
2025-07-22 00:36:38.483257: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce1ff00 of size 512 next 137
2025-07-22 00:36:38.483268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20100 of size 512 next 138
2025-07-22 00:36:38.483280: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20300 of size 512 next 139
2025-07-22 00:36:38.483291: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20500 of size 512 next 140
2025-07-22 00:36:38.483302: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20700 of size 512 next 141
2025-07-22 00:36:38.483314: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20900 of size 512 next 143
2025-07-22 00:36:38.483325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20b00 of size 512 next 144
2025-07-22 00:36:38.483336: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20d00 of size 512 next 145
2025-07-22 00:36:38.483348: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce20f00 of size 512 next 146
2025-07-22 00:36:38.483368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce21100 of size 2048 next 147
2025-07-22 00:36:38.483380: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce21900 of size 2048 next 148
2025-07-22 00:36:38.483391: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce22100 of size 2048 next 149
2025-07-22 00:36:38.483403: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce22900 of size 2048 next 150
2025-07-22 00:36:38.483414: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce23100 of size 2048 next 151
2025-07-22 00:36:38.483425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce23900 of size 512 next 153
2025-07-22 00:36:38.483437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce23b00 of size 512 next 154
2025-07-22 00:36:38.483448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce23d00 of size 512 next 155
2025-07-22 00:36:38.483460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce23f00 of size 512 next 156
2025-07-22 00:36:38.483471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24100 of size 512 next 157
2025-07-22 00:36:38.483482: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24300 of size 512 next 161
2025-07-22 00:36:38.483494: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24500 of size 512 next 162
2025-07-22 00:36:38.483505: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24700 of size 512 next 163
2025-07-22 00:36:38.483516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24900 of size 512 next 164
2025-07-22 00:36:38.483528: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24b00 of size 512 next 165
2025-07-22 00:36:38.483539: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce24d00 of size 2048 next 166
2025-07-22 00:36:38.483550: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce25500 of size 2048 next 167
2025-07-22 00:36:38.483562: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce25d00 of size 2048 next 168
2025-07-22 00:36:38.483573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce26500 of size 2048 next 169
2025-07-22 00:36:38.483584: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce26d00 of size 2048 next 170
2025-07-22 00:36:38.483596: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce27500 of size 1024 next 172
2025-07-22 00:36:38.483607: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce27900 of size 1024 next 173
2025-07-22 00:36:38.483619: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce27d00 of size 1024 next 174
2025-07-22 00:36:38.483630: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28100 of size 1024 next 175
2025-07-22 00:36:38.483641: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28500 of size 1024 next 176
2025-07-22 00:36:38.483653: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28900 of size 256 next 178
2025-07-22 00:36:38.483664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28a00 of size 256 next 179
2025-07-22 00:36:38.483676: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28b00 of size 1024 next 177
2025-07-22 00:36:38.483687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce28f00 of size 1024 next 182
2025-07-22 00:36:38.483698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce29300 of size 1024 next 183
2025-07-22 00:36:38.483710: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce29700 of size 1024 next 184
2025-07-22 00:36:38.483721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce29b00 of size 1024 next 185
2025-07-22 00:36:38.483740: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce29f00 of size 256 next 187
2025-07-22 00:36:38.483752: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2a000 of size 256 next 188
2025-07-22 00:36:38.483764: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2a100 of size 4096 next 186
2025-07-22 00:36:38.483775: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2b100 of size 4096 next 42
2025-07-22 00:36:38.483787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce2c100 of size 65536 next 36
2025-07-22 00:36:38.483798: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce3c100 of size 65536 next 35
2025-07-22 00:36:38.483809: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce4c100 of size 4096 next 235
2025-07-22 00:36:38.483821: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce4d100 of size 4096 next 236
2025-07-22 00:36:38.483832: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce4e100 of size 4096 next 237
2025-07-22 00:36:38.483843: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce4f100 of size 4096 next 238
2025-07-22 00:36:38.483855: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce50100 of size 1024 next 239
2025-07-22 00:36:38.483866: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce50500 of size 1024 next 240
2025-07-22 00:36:38.483877: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce50900 of size 1024 next 241
2025-07-22 00:36:38.483889: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce50d00 of size 1024 next 242
2025-07-22 00:36:38.483900: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce51100 of size 1024 next 243
2025-07-22 00:36:38.483911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce51500 of size 1024 next 246
2025-07-22 00:36:38.483923: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce51900 of size 1024 next 247
2025-07-22 00:36:38.483934: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce51d00 of size 1024 next 248
2025-07-22 00:36:38.483945: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce52100 of size 1024 next 249
2025-07-22 00:36:38.483957: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce52500 of size 1024 next 250
2025-07-22 00:36:38.483968: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce52900 of size 4096 next 252
2025-07-22 00:36:38.483979: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce53900 of size 4096 next 253
2025-07-22 00:36:38.483991: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce54900 of size 4096 next 254
2025-07-22 00:36:38.484002: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce55900 of size 4096 next 255
2025-07-22 00:36:38.484013: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce56900 of size 4096 next 256
2025-07-22 00:36:38.484025: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce57900 of size 1024 next 257
2025-07-22 00:36:38.484036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce57d00 of size 1024 next 258
2025-07-22 00:36:38.484047: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58100 of size 1024 next 259
2025-07-22 00:36:38.484059: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58500 of size 1024 next 260
2025-07-22 00:36:38.484070: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58900 of size 1024 next 261
2025-07-22 00:36:38.484081: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce58d00 of size 1024 next 264
2025-07-22 00:36:38.484093: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59100 of size 1024 next 265
2025-07-22 00:36:38.484104: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59500 of size 1024 next 266
2025-07-22 00:36:38.484123: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59900 of size 1024 next 267
2025-07-22 00:36:38.484135: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce59d00 of size 1024 next 268
2025-07-22 00:36:38.484146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5a100 of size 4096 next 270
2025-07-22 00:36:38.484158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5b100 of size 4096 next 271
2025-07-22 00:36:38.484169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5c100 of size 4096 next 272
2025-07-22 00:36:38.484181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5d100 of size 4096 next 273
2025-07-22 00:36:38.484192: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5e100 of size 4096 next 274
2025-07-22 00:36:38.484203: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f100 of size 1024 next 275
2025-07-22 00:36:38.484215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f500 of size 1024 next 276
2025-07-22 00:36:38.484226: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5f900 of size 1024 next 277
2025-07-22 00:36:38.484238: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce5fd00 of size 1024 next 278
2025-07-22 00:36:38.484249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce60100 of size 1024 next 279
2025-07-22 00:36:38.484260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f257ce60500 of size 15360 next 27
2025-07-22 00:36:38.484272: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce64100 of size 147456 next 26
2025-07-22 00:36:38.484283: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce88100 of size 65536 next 47
2025-07-22 00:36:38.484295: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ce98100 of size 65536 next 59
2025-07-22 00:36:38.484306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257cea8100 of size 65536 next 65
2025-07-22 00:36:38.484318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f257ceb8100 of size 294656 next 18446744073709551615
2025-07-22 00:36:38.484329: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-22 00:36:38.484343: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-22 00:36:38.484357: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-22 00:36:38.484370: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-07-22 00:36:38.484383: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-22 00:36:38.484395: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-22 00:36:38.484408: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-07-22 00:36:38.484421: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-22 00:36:38.484434: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-22 00:36:38.484446: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-22 00:36:38.484459: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-22 00:36:38.484472: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-22 00:36:38.484485: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-22 00:36:38.484497: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-22 00:36:38.484518: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-22 00:36:38.484532: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-22 00:36:38.484544: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-22 00:36:38.484557: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-22 00:36:38.484570: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-22 00:36:38.484582: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-07-22 00:36:38.484595: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-07-22 00:36:38.484607: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-22 00:36:38.484620: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-22 00:36:38.484633: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-07-22 00:36:38.484645: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-22 00:36:38.484658: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-07-22 00:36:38.484670: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-07-22 00:36:38.484682: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 211943424 available bytes: 167737088 curr_region_allocation_bytes_: 67108864
2025-07-22 00:36:38.484697: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   211943424
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-07-22 00:36:38.484718: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-07-22 00:36:38.484759: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


 Exception in mask_detect :  OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:Add]
we want to redo the detection
Using TensorFlow backend.
max_time_sub_proc : 3600
erreur pendant la detection
Useless call to update_current_state
in case -12
caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
ERROR : mask output needs to be a dictionnary now !
No output to save, continue without doing anything !

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : -12
ERROR : 'int' object is not subscriptable
reconnect to base !
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data


#&_# TEST FAILED #&_# : tests/mask_test #&_# 


Error : invalid literal for int() with base 10: "'int' object is not subscriptable"
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_75ab127cc4afb0f65a95b0fa7458290d64929bcf
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_75ab127cc4afb0f65a95b0fa7458290d64929bcf','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/July/22072025/python_test3//data_4/data_log/job/2025/July/22072025/python_test3/log-python3----short_python3--v--marlene-00:35:01.txt','mask_detection','unknown');

#&_# END OF TEST #&_# : tests/mask_test #&_# 





#&_# BEGIN OF TEST : tests/datou_test #&_# 


/home/admin/workarea/git/Velours/python/tests/datou_test.py
<module 'tests.datou_test' from '/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 : 0.2555232048034668
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:sam
Tue Jul 22 00:36:38 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 : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1753137398_3638825_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1753137398_3638825_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}

Beginning of datou step sam !
pht : 4677
Inside sam : nb paths : 1
ERROR in datou_step_exec, will save and exit !
CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
  File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec
    output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id)
  File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2430, in datou_step_exec
    return lib_process.datou_step_sam(param, json_param, args, cache, context, map_info, verbose)
  File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_process.py", line 367, in datou_step_sam
    sam.to(device=device)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 927, in to
    return self._apply(convert)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply
    module._apply(fn)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply
    module._apply(fn)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 579, in _apply
    module._apply(fn)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 602, in _apply
    param_applied = fn(param)
  File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 925, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)

[1189321094]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 4573 list_pids : [1189321094]


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4573', None, '1189321094', "[<FrameSummary file /home/admin/workarea/git/Velours/python/tests/python_tests.py, line 245 in <module>>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 3680 in test>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 100 in test_sam>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 819 in batchDatouExec>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 2346 in datou_exec>, 'CUDA error: out of memory\\nCUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.\\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.']", '-1', '-1.0', '501120777', '1.0', None)]
time used for this insertion : 0.01848459243774414
 save_final 
ERROR in last step sam, CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

time spend for datou_step_exec : 6.070667266845703
time spend to save output : 0.019892215728759766
total time spend for step 0 : 6.090559482574463
need to delete datou_research and reload, so keep current state 1
need to delete datou_research and reload, so keep current state 1
caffe_path_current : 
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : None
ERROR
nb objects espect :  98
nb_objects detect : 0
ERROR sam FAILED

############################### TEST frcnn  ################################
test frcnn
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4184

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4184
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4184
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4184
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : frcnn
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (917754606) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 917754606
download finish for photo 917754606
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1852116584777832
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:frcnn
Tue Jul 22 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 : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1753137405_3638825_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1753137405_3638825_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
E0722 00:36:46.641661 3638825 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0722 00:36:46.644656 3638825 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0722 00:36:46.649618 3638825 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.36user 6.78system 1:20.86elapsed 16%CPU (0avgtext+0avgdata 1179492maxresident)k
1377232inputs+3424outputs (3354major+534950minor)pagefaults 0swaps