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 : 355

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 : 0.12186098098754883
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
Thu Jul 24 06:35:28 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 : 355
wait 20 seconds
l 3637 free memory gpu now : 355  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
2025-07-24 06:35:51.232862: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-24 06:35:51.259331: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-24 06:35:51.260861: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f82f8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-24 06:35:51.260928: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-24 06:35:51.263518: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-24 06:35:51.410250: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xdc5e320 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-24 06:35:51.410301: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-24 06:35:51.410947: 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
2025-07-24 06:35:51.425798: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:35:51.429082: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:35:51.432061: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:35:51.432874: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:35:51.436358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:35:51.437775: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:35:51.443136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:35:51.444083: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:35:51.444175: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:35:51.444648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-24 06:35:51.444666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-24 06:35:51.444676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-24 06:35:51.445713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 204 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
2025-07-24 06:35:52.077245: 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
2025-07-24 06:35:52.077321: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:35:52.077342: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:35:52.077361: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:35:52.077379: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:35:52.077397: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:35:52.077427: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:35:52.077446: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:35:52.078226: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:35:52.079088: 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
2025-07-24 06:35:52.079121: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:35:52.079140: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:35:52.079166: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:35:52.079187: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:35:52.079204: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:35:52.079222: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:35:52.079239: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:35:52.080007: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:35:52.080039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-24 06:35:52.080049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-24 06:35:52.080058: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-24 06:35:52.080876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 204 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-24 06:35:53.385913: 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
2025-07-24 06:35:53.386412: 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
2025-07-24 06:35:53.386876: 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
2025-07-24 06:35:53.387355: 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
2025-07-24 06:35:53.387864: 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
2025-07-24 06:35:53.388369: 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
2025-07-24 06:35:53.388845: 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
2025-07-24 06:35:53.389303: 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
2025-07-24 06:35:53.484159: 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
2025-07-24 06:35:53.484670: 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
2025-07-24 06:36:03.485572: 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
2025-07-24 06:36:03.486391: 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
2025-07-24 06:36:03.486423: 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.
2025-07-24 06:36:03.486442: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-24 06:36:03.486457: 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.
2025-07-24 06:36:03.486469: 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.
2025-07-24 06:36:03.486480: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 86, Chunks in use: 86. 86.2KiB allocated for chunks. 86.2KiB in use in bin. 86.0KiB client-requested in use in bin.
2025-07-24 06:36:03.486491: 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.
2025-07-24 06:36:03.486503: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 35, Chunks in use: 35. 145.5KiB allocated for chunks. 145.5KiB in use in bin. 140.0KiB client-requested in use in bin.
2025-07-24 06:36:03.486514: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-24 06:36:03.486525: 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.
2025-07-24 06:36:03.486536: 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.
2025-07-24 06:36:03.486547: 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.
2025-07-24 06:36:03.486558: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 5, Chunks in use: 4. 799.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-24 06:36:03.486569: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 8, Chunks in use: 7. 2.16MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-24 06:36:03.486580: 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.
2025-07-24 06:36:03.486591: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 14, Chunks in use: 12. 15.38MiB allocated for chunks. 13.12MiB in use in bin. 12.00MiB client-requested in use in bin.
2025-07-24 06:36:03.486602: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 9, Chunks in use: 9. 20.78MiB allocated for chunks. 20.78MiB in use in bin. 20.00MiB client-requested in use in bin.
2025-07-24 06:36:03.486612: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-24 06:36:03.486632: 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.
2025-07-24 06:36:03.486642: 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.
2025-07-24 06:36:03.486656: 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.
2025-07-24 06:36:03.486666: 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.
2025-07-24 06:36:03.486676: 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.
2025-07-24 06:36:03.486686: 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.
2025-07-24 06:36:03.486696: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-24 06:36:03.486705: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-24 06:36:03.486717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118000000 of size 2359296 next 181
2025-07-24 06:36:03.486726: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118240000 of size 2097152 next 196
2025-07-24 06:36:03.486737: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118440000 of size 1048576 next 216
2025-07-24 06:36:03.486750: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f8118540000 of size 1310720 next 209
2025-07-24 06:36:03.486762: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118680000 of size 2359296 next 208
2025-07-24 06:36:03.486775: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81188c0000 of size 1048576 next 234
2025-07-24 06:36:03.486787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81189c0000 of size 1310720 next 228
2025-07-24 06:36:03.486798: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118b00000 of size 2359296 next 227
2025-07-24 06:36:03.486808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118d40000 of size 2883584 next 18446744073709551615
2025-07-24 06:36:03.486819: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 14444800
2025-07-24 06:36:03.486831: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119000000 of size 2359296 next 245
2025-07-24 06:36:03.486842: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119240000 of size 1048576 next 269
2025-07-24 06:36:03.486853: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119340000 of size 1310720 next 263
2025-07-24 06:36:03.486864: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119480000 of size 2359296 next 262
2025-07-24 06:36:03.486875: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81196c0000 of size 1048576 next 287
2025-07-24 06:36:03.486886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81197c0000 of size 1310720 next 281
2025-07-24 06:36:03.486896: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119900000 of size 2359296 next 280
2025-07-24 06:36:03.486908: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119b40000 of size 2648320 next 18446744073709551615
2025-07-24 06:36:03.486920: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-24 06:36:03.486942: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a600000 of size 147456 next 55
2025-07-24 06:36:03.486954: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a624000 of size 65536 next 78
2025-07-24 06:36:03.486965: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a634000 of size 4096 next 191
2025-07-24 06:36:03.486978: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a635000 of size 4096 next 192
2025-07-24 06:36:03.486990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a636000 of size 4096 next 193
2025-07-24 06:36:03.487002: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637000 of size 256 next 194
2025-07-24 06:36:03.487010: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637100 of size 256 next 195
2025-07-24 06:36:03.487019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637200 of size 4096 next 197
2025-07-24 06:36:03.487027: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a638200 of size 4096 next 198
2025-07-24 06:36:03.487036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a639200 of size 4096 next 199
2025-07-24 06:36:03.487044: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63a200 of size 4096 next 200
2025-07-24 06:36:03.487052: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63b200 of size 4096 next 201
2025-07-24 06:36:03.487061: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63c200 of size 1024 next 202
2025-07-24 06:36:03.487070: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63c600 of size 1024 next 204
2025-07-24 06:36:03.487078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63ca00 of size 1024 next 205
2025-07-24 06:36:03.487086: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63ce00 of size 1024 next 206
2025-07-24 06:36:03.487095: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63d200 of size 1024 next 207
2025-07-24 06:36:03.487103: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63d600 of size 1024 next 210
2025-07-24 06:36:03.487111: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63da00 of size 1024 next 211
2025-07-24 06:36:03.487120: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63de00 of size 1024 next 212
2025-07-24 06:36:03.487128: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63e200 of size 1024 next 213
2025-07-24 06:36:03.487136: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63e600 of size 1024 next 214
2025-07-24 06:36:03.487145: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63ea00 of size 4096 next 215
2025-07-24 06:36:03.487153: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a63fa00 of size 4096 next 217
2025-07-24 06:36:03.487193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a640a00 of size 4096 next 218
2025-07-24 06:36:03.487202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a641a00 of size 4096 next 219
2025-07-24 06:36:03.487211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a642a00 of size 4096 next 220
2025-07-24 06:36:03.487219: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a643a00 of size 1024 next 221
2025-07-24 06:36:03.487228: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a643e00 of size 1024 next 223
2025-07-24 06:36:03.487236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a644200 of size 1024 next 224
2025-07-24 06:36:03.487244: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a644600 of size 1024 next 225
2025-07-24 06:36:03.487253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a644a00 of size 1024 next 226
2025-07-24 06:36:03.487268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a644e00 of size 1024 next 229
2025-07-24 06:36:03.487277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a645200 of size 1024 next 230
2025-07-24 06:36:03.487286: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a645600 of size 1024 next 231
2025-07-24 06:36:03.487294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a645a00 of size 1024 next 232
2025-07-24 06:36:03.487303: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a645e00 of size 1024 next 233
2025-07-24 06:36:03.487311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a646200 of size 7680 next 72
2025-07-24 06:36:03.487320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a648000 of size 147456 next 71
2025-07-24 06:36:03.487329: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a66c000 of size 131072 next 87
2025-07-24 06:36:03.487337: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68c000 of size 4096 next 289
2025-07-24 06:36:03.487346: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68d000 of size 4096 next 290
2025-07-24 06:36:03.487354: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68e000 of size 4096 next 291
2025-07-24 06:36:03.487363: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68f000 of size 1024 next 292
2025-07-24 06:36:03.487371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68f400 of size 1024 next 293
2025-07-24 06:36:03.487380: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68f800 of size 1024 next 294
2025-07-24 06:36:03.487388: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a68fc00 of size 1024 next 295
2025-07-24 06:36:03.487396: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a690000 of size 1024 next 296
2025-07-24 06:36:03.487405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f811a690400 of size 244736 next 103
2025-07-24 06:36:03.487414: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a6cc000 of size 262144 next 102
2025-07-24 06:36:03.487422: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f811a70c000 of size 999424 next 18446744073709551615
2025-07-24 06:36:03.487431: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-07-24 06:36:03.487440: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a800000 of size 589824 next 96
2025-07-24 06:36:03.487449: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a890000 of size 262144 next 117
2025-07-24 06:36:03.487457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f811a8d0000 of size 262144 next 112
2025-07-24 06:36:03.487466: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a910000 of size 524288 next 111
2025-07-24 06:36:03.487474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a990000 of size 262144 next 135
2025-07-24 06:36:03.487483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a9d0000 of size 327680 next 124
2025-07-24 06:36:03.487491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811aa20000 of size 589824 next 123
2025-07-24 06:36:03.487500: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811aab0000 of size 262144 next 152
2025-07-24 06:36:03.487508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811aaf0000 of size 327680 next 142
2025-07-24 06:36:03.487519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811ab40000 of size 786432 next 18446744073709551615
2025-07-24 06:36:03.487530: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-07-24 06:36:03.487542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f811ac00000 of size 589824 next 160
2025-07-24 06:36:03.487564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811ac90000 of size 589824 next 158
2025-07-24 06:36:03.487576: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811ad20000 of size 524288 next 171
2025-07-24 06:36:03.487586: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f811ada0000 of size 1048576 next 222
2025-07-24 06:36:03.487597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811aea0000 of size 1048576 next 190
2025-07-24 06:36:03.487609: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811afa0000 of size 1048576 next 189
2025-07-24 06:36:03.487620: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811b0a0000 of size 1048576 next 203
2025-07-24 06:36:03.487631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811b1a0000 of size 1048576 next 251
2025-07-24 06:36:03.487642: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811b2a0000 of size 1441792 next 18446744073709551615
2025-07-24 06:36:03.487653: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-07-24 06:36:03.487664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00000 of size 1280 next 1
2025-07-24 06:36:03.487675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00500 of size 256 next 5
2025-07-24 06:36:03.487687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00600 of size 256 next 8
2025-07-24 06:36:03.487699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00700 of size 256 next 9
2025-07-24 06:36:03.487710: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00800 of size 256 next 10
2025-07-24 06:36:03.487720: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00900 of size 256 next 11
2025-07-24 06:36:03.487730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00a00 of size 256 next 12
2025-07-24 06:36:03.487742: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00b00 of size 256 next 13
2025-07-24 06:36:03.487754: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00c00 of size 256 next 17
2025-07-24 06:36:03.487766: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00d00 of size 256 next 19
2025-07-24 06:36:03.487778: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00e00 of size 256 next 20
2025-07-24 06:36:03.487789: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae00f00 of size 256 next 21
2025-07-24 06:36:03.487800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae01000 of size 256 next 22
2025-07-24 06:36:03.487810: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae01100 of size 256 next 24
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2025-07-24 06:36:03.489068: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28900 of size 256 next 178
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2025-07-24 06:36:03.489158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2a100 of size 4096 next 186
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2025-07-24 06:36:03.489175: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2c100 of size 65536 next 36
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2025-07-24 06:36:03.489225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae50100 of size 1024 next 239
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2025-07-24 06:36:03.489259: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae51100 of size 1024 next 243
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2025-07-24 06:36:03.489483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5f100 of size 1024 next 275
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2025-07-24 06:36:03.489577: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae62900 of size 6144 next 27
2025-07-24 06:36:03.489586: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae64100 of size 147456 next 26
2025-07-24 06:36:03.489598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae88100 of size 65536 next 47
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2025-07-24 06:36:03.489618: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825aea8100 of size 65536 next 65
2025-07-24 06:36:03.489627: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825aeb8100 of size 294656 next 18446744073709551615
2025-07-24 06:36:03.489635: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-24 06:36:03.489646: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-24 06:36:03.489656: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-24 06:36:03.489666: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 85 Chunks of size 1024 totalling 85.0KiB
2025-07-24 06:36:03.489676: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-24 06:36:03.489685: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-24 06:36:03.489695: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 33 Chunks of size 4096 totalling 132.0KiB
2025-07-24 06:36:03.489704: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 6144 totalling 6.0KiB
2025-07-24 06:36:03.489720: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-24 06:36:03.489730: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-24 06:36:03.489742: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-24 06:36:03.489756: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-24 06:36:03.489770: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-24 06:36:03.489783: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-24 06:36:03.489795: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-24 06:36:03.489806: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-24 06:36:03.489820: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-24 06:36:03.489832: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-24 06:36:03.489844: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-24 06:36:03.489857: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-24 06:36:03.489869: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 8 Chunks of size 1048576 totalling 8.00MiB
2025-07-24 06:36:03.489881: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 1310720 totalling 3.75MiB
2025-07-24 06:36:03.489892: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-24 06:36:03.489907: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-24 06:36:03.489920: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 2359296 totalling 13.50MiB
2025-07-24 06:36:03.489933: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2648320 totalling 2.53MiB
2025-07-24 06:36:03.489944: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-24 06:36:03.489956: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 40.53MiB
2025-07-24 06:36:03.489969: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 46950656 memory_limit_: 214040576 available bytes: 167089920 curr_region_allocation_bytes_: 67108864
2025-07-24 06:36:03.489983: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   214040576
InUse:                    42495232
MaxInUse:                 42495488
NumAllocs:                     952
MaxAllocSize:              4325376

2025-07-24 06:36:03.490004: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ************__*******************************************************_**********_***_***************
2025-07-24 06:36:03.490399: 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 : 0.12441873550415039
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
Thu Jul 24 06:36:04 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 : 355
wait 20 seconds
l 3637 free memory gpu now : 355  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-07-24 06:36:27.502766: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-24 06:36:27.514108: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-24 06:36:27.515718: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f82f8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-24 06:36:27.515763: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-24 06:36:27.518240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-24 06:36:27.657158: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xcf0beb0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-24 06:36:27.657191: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-24 06:36:27.657712: 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
2025-07-24 06:36:27.658037: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:36:27.660149: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:36:27.662320: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:36:27.662722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:36:27.665618: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:36:27.666965: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:36:27.672416: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:36:27.673270: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:36:27.673350: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:36:27.673782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-24 06:36:27.673796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-24 06:36:27.673804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-24 06:36:27.674512: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 204 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
2025-07-24 06:36:28.286740: 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
2025-07-24 06:36:28.286829: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:36:28.286858: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:36:28.286884: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:36:28.286908: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:36:28.286933: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:36:28.286957: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:36:28.286981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:36:28.288093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:36:28.289035: 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
2025-07-24 06:36:28.289071: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-24 06:36:28.289090: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-24 06:36:28.289108: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-24 06:36:28.289138: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-24 06:36:28.289157: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-24 06:36:28.289175: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-24 06:36:28.289192: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-24 06:36:28.289971: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-24 06:36:28.290002: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-24 06:36:28.290012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-24 06:36:28.290021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-24 06:36:28.290911: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 204 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-24 06:36:29.186558: 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
2025-07-24 06:36:29.187108: 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
2025-07-24 06:36:29.187659: 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
2025-07-24 06:36:29.188178: 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
2025-07-24 06:36:29.188687: 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
2025-07-24 06:36:29.189221: 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
2025-07-24 06:36:29.189751: 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
2025-07-24 06:36:29.190259: 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
2025-07-24 06:36:29.308651: 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
2025-07-24 06:36:29.309220: 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
2025-07-24 06:36:39.310012: 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
2025-07-24 06:36:39.310628: 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
2025-07-24 06:36:39.310652: 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.
2025-07-24 06:36:39.310670: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-24 06:36:39.310684: 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.
2025-07-24 06:36:39.310710: 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.
2025-07-24 06:36:39.310722: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 86, Chunks in use: 86. 86.2KiB allocated for chunks. 86.2KiB in use in bin. 86.0KiB client-requested in use in bin.
2025-07-24 06:36:39.310733: 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.
2025-07-24 06:36:39.310744: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 35, Chunks in use: 35. 145.5KiB allocated for chunks. 145.5KiB in use in bin. 140.0KiB client-requested in use in bin.
2025-07-24 06:36:39.310755: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-24 06:36:39.310766: 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.
2025-07-24 06:36:39.310777: 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.
2025-07-24 06:36:39.310788: 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.
2025-07-24 06:36:39.310799: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 5, Chunks in use: 4. 799.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-24 06:36:39.310810: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 8, Chunks in use: 7. 2.16MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-24 06:36:39.310820: 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.
2025-07-24 06:36:39.310831: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 14, Chunks in use: 12. 15.38MiB allocated for chunks. 13.12MiB in use in bin. 12.00MiB client-requested in use in bin.
2025-07-24 06:36:39.310842: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 9, Chunks in use: 9. 20.78MiB allocated for chunks. 20.78MiB in use in bin. 20.00MiB client-requested in use in bin.
2025-07-24 06:36:39.310852: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-24 06:36:39.310862: 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.
2025-07-24 06:36:39.310872: 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.
2025-07-24 06:36:39.310881: 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.
2025-07-24 06:36:39.310891: 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.
2025-07-24 06:36:39.310900: 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.
2025-07-24 06:36:39.310917: 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.
2025-07-24 06:36:39.310928: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-24 06:36:39.310937: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-24 06:36:39.310949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118000000 of size 2359296 next 181
2025-07-24 06:36:39.310958: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118240000 of size 2097152 next 196
2025-07-24 06:36:39.310967: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118440000 of size 1048576 next 216
2025-07-24 06:36:39.310975: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f8118540000 of size 1310720 next 209
2025-07-24 06:36:39.310984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118680000 of size 2359296 next 208
2025-07-24 06:36:39.310993: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81188c0000 of size 1048576 next 234
2025-07-24 06:36:39.311002: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81189c0000 of size 1310720 next 228
2025-07-24 06:36:39.311010: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118b00000 of size 2359296 next 227
2025-07-24 06:36:39.311019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8118d40000 of size 2883584 next 18446744073709551615
2025-07-24 06:36:39.311027: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 14444800
2025-07-24 06:36:39.311035: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119000000 of size 2359296 next 245
2025-07-24 06:36:39.311044: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119240000 of size 1048576 next 269
2025-07-24 06:36:39.311052: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119340000 of size 1310720 next 263
2025-07-24 06:36:39.311061: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119480000 of size 2359296 next 262
2025-07-24 06:36:39.311069: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81196c0000 of size 1048576 next 287
2025-07-24 06:36:39.311078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f81197c0000 of size 1310720 next 281
2025-07-24 06:36:39.311086: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119900000 of size 2359296 next 280
2025-07-24 06:36:39.311095: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8119b40000 of size 2648320 next 18446744073709551615
2025-07-24 06:36:39.311103: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-24 06:36:39.311112: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a600000 of size 147456 next 55
2025-07-24 06:36:39.311121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a624000 of size 65536 next 78
2025-07-24 06:36:39.311130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a634000 of size 4096 next 191
2025-07-24 06:36:39.311138: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a635000 of size 4096 next 192
2025-07-24 06:36:39.311147: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a636000 of size 4096 next 193
2025-07-24 06:36:39.311203: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637000 of size 256 next 194
2025-07-24 06:36:39.311216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637100 of size 256 next 195
2025-07-24 06:36:39.311224: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f811a637200 of size 4096 next 197
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2025-07-24 06:36:39.312550: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae0fc00 of size 2048 next 108
2025-07-24 06:36:39.312558: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae10400 of size 256 next 109
2025-07-24 06:36:39.312567: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae10500 of size 256 next 110
2025-07-24 06:36:39.312575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae10600 of size 2048 next 113
2025-07-24 06:36:39.312583: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae10e00 of size 2048 next 114
2025-07-24 06:36:39.312592: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae11600 of size 2048 next 115
2025-07-24 06:36:39.312600: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae11e00 of size 2048 next 116
2025-07-24 06:36:39.312609: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae12600 of size 2048 next 6
2025-07-24 06:36:39.312617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae12e00 of size 37632 next 7
2025-07-24 06:36:39.312626: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1c100 of size 512 next 118
2025-07-24 06:36:39.312634: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1c300 of size 512 next 119
2025-07-24 06:36:39.312648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1c500 of size 512 next 120
2025-07-24 06:36:39.312657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1c700 of size 512 next 121
2025-07-24 06:36:39.312666: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1c900 of size 512 next 122
2025-07-24 06:36:39.312674: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1cb00 of size 512 next 125
2025-07-24 06:36:39.312682: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1cd00 of size 512 next 126
2025-07-24 06:36:39.312691: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1cf00 of size 512 next 127
2025-07-24 06:36:39.312699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1d100 of size 512 next 128
2025-07-24 06:36:39.312707: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1d300 of size 512 next 129
2025-07-24 06:36:39.312716: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1d500 of size 2048 next 130
2025-07-24 06:36:39.312724: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1dd00 of size 2048 next 131
2025-07-24 06:36:39.312732: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1e500 of size 2048 next 132
2025-07-24 06:36:39.312741: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1ed00 of size 2048 next 133
2025-07-24 06:36:39.312749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1f500 of size 2048 next 134
2025-07-24 06:36:39.312758: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1fd00 of size 512 next 136
2025-07-24 06:36:39.312766: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae1ff00 of size 512 next 137
2025-07-24 06:36:39.312774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20100 of size 512 next 138
2025-07-24 06:36:39.312783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20300 of size 512 next 139
2025-07-24 06:36:39.312791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20500 of size 512 next 140
2025-07-24 06:36:39.312799: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20700 of size 512 next 141
2025-07-24 06:36:39.312808: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20900 of size 512 next 143
2025-07-24 06:36:39.312816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20b00 of size 512 next 144
2025-07-24 06:36:39.312825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20d00 of size 512 next 145
2025-07-24 06:36:39.312833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae20f00 of size 512 next 146
2025-07-24 06:36:39.312841: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae21100 of size 2048 next 147
2025-07-24 06:36:39.312850: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae21900 of size 2048 next 148
2025-07-24 06:36:39.312858: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae22100 of size 2048 next 149
2025-07-24 06:36:39.312866: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae22900 of size 2048 next 150
2025-07-24 06:36:39.312875: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae23100 of size 2048 next 151
2025-07-24 06:36:39.312883: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae23900 of size 512 next 153
2025-07-24 06:36:39.312892: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae23b00 of size 512 next 154
2025-07-24 06:36:39.312900: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae23d00 of size 512 next 155
2025-07-24 06:36:39.312908: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae23f00 of size 512 next 156
2025-07-24 06:36:39.312923: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24100 of size 512 next 157
2025-07-24 06:36:39.312931: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24300 of size 512 next 161
2025-07-24 06:36:39.312940: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24500 of size 512 next 162
2025-07-24 06:36:39.312948: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24700 of size 512 next 163
2025-07-24 06:36:39.312957: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24900 of size 512 next 164
2025-07-24 06:36:39.312965: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24b00 of size 512 next 165
2025-07-24 06:36:39.312973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae24d00 of size 2048 next 166
2025-07-24 06:36:39.312982: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae25500 of size 2048 next 167
2025-07-24 06:36:39.312990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae25d00 of size 2048 next 168
2025-07-24 06:36:39.312999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae26500 of size 2048 next 169
2025-07-24 06:36:39.313007: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae26d00 of size 2048 next 170
2025-07-24 06:36:39.313015: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae27500 of size 1024 next 172
2025-07-24 06:36:39.313024: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae27900 of size 1024 next 173
2025-07-24 06:36:39.313032: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae27d00 of size 1024 next 174
2025-07-24 06:36:39.313041: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28100 of size 1024 next 175
2025-07-24 06:36:39.313049: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28500 of size 1024 next 176
2025-07-24 06:36:39.313057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28900 of size 256 next 178
2025-07-24 06:36:39.313066: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28a00 of size 256 next 179
2025-07-24 06:36:39.313074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28b00 of size 1024 next 177
2025-07-24 06:36:39.313083: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae28f00 of size 1024 next 182
2025-07-24 06:36:39.313091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae29300 of size 1024 next 183
2025-07-24 06:36:39.313099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae29700 of size 1024 next 184
2025-07-24 06:36:39.313108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae29b00 of size 1024 next 185
2025-07-24 06:36:39.313116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae29f00 of size 256 next 187
2025-07-24 06:36:39.313125: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2a000 of size 256 next 188
2025-07-24 06:36:39.313133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2a100 of size 4096 next 186
2025-07-24 06:36:39.313141: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2b100 of size 4096 next 42
2025-07-24 06:36:39.313150: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae2c100 of size 65536 next 36
2025-07-24 06:36:39.313158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae3c100 of size 65536 next 35
2025-07-24 06:36:39.313167: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae4c100 of size 4096 next 235
2025-07-24 06:36:39.313175: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae4d100 of size 4096 next 236
2025-07-24 06:36:39.313183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae4e100 of size 4096 next 237
2025-07-24 06:36:39.313197: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae4f100 of size 4096 next 238
2025-07-24 06:36:39.313206: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae50100 of size 1024 next 239
2025-07-24 06:36:39.313215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae50500 of size 1024 next 240
2025-07-24 06:36:39.313223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae50900 of size 1024 next 241
2025-07-24 06:36:39.313231: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae50d00 of size 1024 next 242
2025-07-24 06:36:39.313240: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae51100 of size 1024 next 243
2025-07-24 06:36:39.313248: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae51500 of size 1024 next 246
2025-07-24 06:36:39.313256: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae51900 of size 1024 next 247
2025-07-24 06:36:39.313265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae51d00 of size 1024 next 248
2025-07-24 06:36:39.313273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae52100 of size 1024 next 249
2025-07-24 06:36:39.313281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae52500 of size 1024 next 250
2025-07-24 06:36:39.313290: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae52900 of size 4096 next 252
2025-07-24 06:36:39.313298: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae53900 of size 4096 next 253
2025-07-24 06:36:39.313306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae54900 of size 4096 next 254
2025-07-24 06:36:39.313315: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae55900 of size 4096 next 255
2025-07-24 06:36:39.313323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae56900 of size 4096 next 256
2025-07-24 06:36:39.313331: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae57900 of size 1024 next 257
2025-07-24 06:36:39.313340: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae57d00 of size 1024 next 258
2025-07-24 06:36:39.313348: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae58100 of size 1024 next 259
2025-07-24 06:36:39.313357: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae58500 of size 1024 next 260
2025-07-24 06:36:39.313365: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae58900 of size 1024 next 261
2025-07-24 06:36:39.313373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae58d00 of size 1024 next 264
2025-07-24 06:36:39.313382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae59100 of size 1024 next 265
2025-07-24 06:36:39.313390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae59500 of size 1024 next 266
2025-07-24 06:36:39.313398: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae59900 of size 1024 next 267
2025-07-24 06:36:39.313407: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae59d00 of size 1024 next 268
2025-07-24 06:36:39.313415: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5a100 of size 4096 next 270
2025-07-24 06:36:39.313423: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5b100 of size 4096 next 271
2025-07-24 06:36:39.313432: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5c100 of size 4096 next 272
2025-07-24 06:36:39.313440: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5d100 of size 4096 next 273
2025-07-24 06:36:39.313448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5e100 of size 4096 next 274
2025-07-24 06:36:39.313457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5f100 of size 1024 next 275
2025-07-24 06:36:39.313465: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5f500 of size 1024 next 276
2025-07-24 06:36:39.313479: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5f900 of size 1024 next 277
2025-07-24 06:36:39.313488: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae5fd00 of size 1024 next 278
2025-07-24 06:36:39.313496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae60100 of size 1024 next 279
2025-07-24 06:36:39.313505: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae60500 of size 1024 next 282
2025-07-24 06:36:39.313513: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae60900 of size 1024 next 283
2025-07-24 06:36:39.313521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae60d00 of size 1024 next 284
2025-07-24 06:36:39.313530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae61100 of size 1024 next 285
2025-07-24 06:36:39.313538: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae61500 of size 1024 next 286
2025-07-24 06:36:39.313546: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae61900 of size 4096 next 288
2025-07-24 06:36:39.313555: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae62900 of size 6144 next 27
2025-07-24 06:36:39.313563: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae64100 of size 147456 next 26
2025-07-24 06:36:39.313572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae88100 of size 65536 next 47
2025-07-24 06:36:39.313580: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825ae98100 of size 65536 next 59
2025-07-24 06:36:39.313589: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825aea8100 of size 65536 next 65
2025-07-24 06:36:39.313597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f825aeb8100 of size 294656 next 18446744073709551615
2025-07-24 06:36:39.313605: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-24 06:36:39.313616: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-24 06:36:39.313626: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-24 06:36:39.313636: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 85 Chunks of size 1024 totalling 85.0KiB
2025-07-24 06:36:39.313645: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-24 06:36:39.313655: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-24 06:36:39.313664: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 33 Chunks of size 4096 totalling 132.0KiB
2025-07-24 06:36:39.313674: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 6144 totalling 6.0KiB
2025-07-24 06:36:39.313683: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-24 06:36:39.313692: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-24 06:36:39.313702: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-24 06:36:39.313712: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-24 06:36:39.313721: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-24 06:36:39.313731: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-24 06:36:39.313740: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-24 06:36:39.313749: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-24 06:36:39.313759: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-24 06:36:39.313775: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-24 06:36:39.313784: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-24 06:36:39.313794: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-24 06:36:39.313803: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 8 Chunks of size 1048576 totalling 8.00MiB
2025-07-24 06:36:39.313813: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 1310720 totalling 3.75MiB
2025-07-24 06:36:39.313822: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-24 06:36:39.313831: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-24 06:36:39.313841: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 2359296 totalling 13.50MiB
2025-07-24 06:36:39.313850: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2648320 totalling 2.53MiB
2025-07-24 06:36:39.313860: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-24 06:36:39.313869: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 40.53MiB
2025-07-24 06:36:39.313878: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 46950656 memory_limit_: 214040576 available bytes: 167089920 curr_region_allocation_bytes_: 67108864
2025-07-24 06:36:39.313890: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   214040576
InUse:                    42495232
MaxInUse:                 42495488
NumAllocs:                     952
MaxAllocSize:              4325376

2025-07-24 06:36:39.313905: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ************__*******************************************************_**********_***_***************
2025-07-24 06:36:39.313940: 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_8810c9e490d695d6ca8f04d9e7a788804e8131c7
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_8810c9e490d695d6ca8f04d9e7a788804e8131c7','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/July/24072025/python_test3//data_4/data_log/job/2025/July/24072025/python_test3/log-python3----short_python3--v--marlene-06:35:01.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 : 0.2461378574371338
#### 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
Thu Jul 24 06:36:39 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/1753331799_584501_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1753331799_584501_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 : 0.013685226440429688
 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 : 6.3254804611206055
time spend to save output : 0.015300512313842773
total time spend for step 0 : 6.340780973434448
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 : 0.09763526916503906
#### 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
Thu Jul 24 06:36:46 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/1753331806_584501_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1753331806_584501_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
E0724 06:36:47.744323 584501 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0724 06:36:47.750664 584501 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0724 06:36:47.758273 584501 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.38user 6.87system 1:22.23elapsed 16%CPU (0avgtext+0avgdata 1203428maxresident)k
1950808inputs+3440outputs (5781major+584988minor)pagefaults 0swaps