python /home/admin/mtr/script_for_cron.py -j python_test3 -m 12 -a ' --short_python3 -v ' -s python_test3 -M 0 -S 0 -U 100,100,120
 import MySQLdb succeeded 
Import error (python version)
python version = 3
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
 list_job_run_as_list :  ['mask_detection', 'datou', 'CacheModelData_queries', 'CachePhotoData_queries', 'test_fork', 'prepare_maskdata', 'portfolio_queries', 'sla_mensuel']
python version used : 3
 liste_fichiers : [('tests/mask_test', True, 'Test mask-detection ', 'mask_detection'), ('tests/datou_test', True, 'Datou All Test', 'datou', 'all'), ('mtr/database_queries/CacheModelData_queries', True, 'Test Cache Model Data', 'CacheModelData_queries'), ('tests/cache_photo_data_test', True, 'Test local_cache_photo ', 'CachePhotoData_queries'), ('mtr/mask_rcnn/prepare_maskdata', True, 'test prepare mask data', 'prepare_maskdata', 'all'), ('mtr/database_queries/portfolio_queries', True, 'test portfolio queries', 'portfolio_queries'), ('prod/memo/memo', True, 'SLA Mensuel', 'sla_mensuel', 'all')]


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


/home/admin/workarea/git/Velours/python/tests/mask_test.py
<module 'tests.mask_test' from '/home/admin/workarea/git/Velours/python/tests/mask_test.py'>
Test mask-detection 
python version used : 3

############################### TEST memory used  ################################
free memory at begining : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 353

run mask_detect

Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.12112069129943848
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
Mon Jul 21 18:35:26 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 353
wait 20 seconds
l 3637 free memory gpu now : 353  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
/home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
2025-07-21 18:35:50.637280: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-21 18:35:50.671306: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-21 18:35:50.673781: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f53c0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-21 18:35:50.673864: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-21 18:35:50.683039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-21 18:35:50.842529: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x919dfe0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-21 18:35:50.842585: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-21 18:35:50.843988: 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
2025-07-21 18:35:50.845327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:35:50.877695: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:35:50.891317: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:35:50.895525: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:35:50.917971: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:35:50.920623: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:35:50.958383: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:35:50.959464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:35:50.959559: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:35:50.960458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-21 18:35:50.960479: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-21 18:35:50.960490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-21 18:35:50.961388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
To do loadFromThcl(), then load ParamDescType : thcl454
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-07-21 18:35:51.603355: 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
2025-07-21 18:35:51.603439: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:35:51.603460: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:35:51.603478: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:35:51.603495: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:35:51.603513: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:35:51.603541: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:35:51.603560: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:35:51.604341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:35:51.605286: 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
2025-07-21 18:35:51.605322: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:35:51.605342: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:35:51.605361: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:35:51.605380: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:35:51.605398: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:35:51.605417: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:35:51.605436: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:35:51.606243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:35:51.606272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-21 18:35:51.606283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-21 18:35:51.606292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-21 18:35:51.607115: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-21 18:35:52.420937: 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
2025-07-21 18:35:52.421465: 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
2025-07-21 18:35:52.421927: 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
2025-07-21 18:35:52.422388: 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
2025-07-21 18:35:52.422852: 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
2025-07-21 18:35:52.423327: 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
2025-07-21 18:35:52.423800: 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
2025-07-21 18:35:52.424259: 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
2025-07-21 18:35:52.424739: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-21 18:35:52.425214: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-21 18:35:52.493690: 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
2025-07-21 18:35:52.494192: 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
2025-07-21 18:36:02.494897: 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
2025-07-21 18:36:02.495410: 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
2025-07-21 18:36:02.495438: 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.
2025-07-21 18:36:02.495459: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-21 18:36:02.495471: 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.
2025-07-21 18:36:02.495481: 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.
2025-07-21 18:36:02.495490: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-07-21 18:36:02.495499: 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.
2025-07-21 18:36:02.495508: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-07-21 18:36:02.495517: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-21 18:36:02.495526: 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.
2025-07-21 18:36:02.495535: 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.
2025-07-21 18:36:02.495544: 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.
2025-07-21 18:36:02.495553: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-21 18:36:02.495562: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-21 18:36:02.495571: 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.
2025-07-21 18:36:02.495580: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-07-21 18:36:02.495603: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-07-21 18:36:02.495612: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-07-21 18:36:02.495621: 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.
2025-07-21 18:36:02.495628: 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.
2025-07-21 18:36:02.495636: 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.
2025-07-21 18:36:02.495644: 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.
2025-07-21 18:36:02.495651: 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.
2025-07-21 18:36:02.495659: 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.
2025-07-21 18:36:02.495667: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-21 18:36:02.495674: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-21 18:36:02.495687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0000000 of size 2359296 next 181
2025-07-21 18:36:02.495695: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0240000 of size 2097152 next 196
2025-07-21 18:36:02.495702: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0440000 of size 1048576 next 216
2025-07-21 18:36:02.495709: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e0540000 of size 1310720 next 209
2025-07-21 18:36:02.495716: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0680000 of size 2359296 next 208
2025-07-21 18:36:02.495723: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e08c0000 of size 1048576 next 234
2025-07-21 18:36:02.495730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e09c0000 of size 1310720 next 228
2025-07-21 18:36:02.495737: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0b00000 of size 2359296 next 227
2025-07-21 18:36:02.495744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0d40000 of size 2883584 next 18446744073709551615
2025-07-21 18:36:02.495751: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-07-21 18:36:02.495758: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1000000 of size 2359296 next 245
2025-07-21 18:36:02.495765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1240000 of size 1048576 next 269
2025-07-21 18:36:02.495772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1340000 of size 1310720 next 263
2025-07-21 18:36:02.495778: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1480000 of size 2359296 next 262
2025-07-21 18:36:02.495785: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e16c0000 of size 4622592 next 18446744073709551615
2025-07-21 18:36:02.495792: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-21 18:36:02.495805: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2600000 of size 147456 next 55
2025-07-21 18:36:02.495812: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2624000 of size 65536 next 78
2025-07-21 18:36:02.495819: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2634000 of size 4096 next 191
2025-07-21 18:36:02.495826: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2635000 of size 4096 next 192
2025-07-21 18:36:02.495833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2636000 of size 4096 next 193
2025-07-21 18:36:02.495840: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637000 of size 256 next 194
2025-07-21 18:36:02.495847: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637100 of size 256 next 195
2025-07-21 18:36:02.495854: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637200 of size 4096 next 197
2025-07-21 18:36:02.495861: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2638200 of size 4096 next 198
2025-07-21 18:36:02.495867: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2639200 of size 4096 next 199
2025-07-21 18:36:02.495874: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263a200 of size 4096 next 200
2025-07-21 18:36:02.495881: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263b200 of size 4096 next 201
2025-07-21 18:36:02.495888: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263c200 of size 1024 next 202
2025-07-21 18:36:02.495895: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263c600 of size 1024 next 204
2025-07-21 18:36:02.495902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263ca00 of size 1024 next 205
2025-07-21 18:36:02.495908: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263ce00 of size 1024 next 206
2025-07-21 18:36:02.495915: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263d200 of size 1024 next 207
2025-07-21 18:36:02.495922: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263d600 of size 1024 next 210
2025-07-21 18:36:02.495929: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263da00 of size 1024 next 211
2025-07-21 18:36:02.495935: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263de00 of size 1024 next 212
2025-07-21 18:36:02.495942: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263e200 of size 1024 next 213
2025-07-21 18:36:02.495949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263e600 of size 1024 next 214
2025-07-21 18:36:02.495956: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263ea00 of size 4096 next 215
2025-07-21 18:36:02.495963: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e263fa00 of size 4096 next 217
2025-07-21 18:36:02.495969: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2640a00 of size 4096 next 218
2025-07-21 18:36:02.495976: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2641a00 of size 4096 next 219
2025-07-21 18:36:02.495983: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2642a00 of size 4096 next 220
2025-07-21 18:36:02.495990: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2643a00 of size 1024 next 221
2025-07-21 18:36:02.495996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2643e00 of size 1024 next 223
2025-07-21 18:36:02.496003: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2644200 of size 1024 next 224
2025-07-21 18:36:02.496010: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2644600 of size 1024 next 225
2025-07-21 18:36:02.496017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2644a00 of size 1024 next 226
2025-07-21 18:36:02.496029: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2644e00 of size 1024 next 229
2025-07-21 18:36:02.496036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2645200 of size 1024 next 230
2025-07-21 18:36:02.496043: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2645600 of size 1024 next 231
2025-07-21 18:36:02.496050: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2645a00 of size 1024 next 232
2025-07-21 18:36:02.496057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2645e00 of size 1024 next 233
2025-07-21 18:36:02.496064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2646200 of size 7680 next 72
2025-07-21 18:36:02.496071: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2648000 of size 147456 next 71
2025-07-21 18:36:02.496078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e266c000 of size 131072 next 87
2025-07-21 18:36:02.496084: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e268c000 of size 262144 next 103
2025-07-21 18:36:02.496091: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e26cc000 of size 262144 next 102
2025-07-21 18:36:02.496098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e270c000 of size 999424 next 18446744073709551615
2025-07-21 18:36:02.496105: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-07-21 18:36:02.496112: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2800000 of size 589824 next 96
2025-07-21 18:36:02.496119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2890000 of size 262144 next 117
2025-07-21 18:36:02.496126: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e28d0000 of size 262144 next 112
2025-07-21 18:36:02.496133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2910000 of size 524288 next 111
2025-07-21 18:36:02.496140: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2990000 of size 262144 next 135
2025-07-21 18:36:02.496147: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e29d0000 of size 327680 next 124
2025-07-21 18:36:02.496154: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2a20000 of size 589824 next 123
2025-07-21 18:36:02.496161: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2ab0000 of size 262144 next 152
2025-07-21 18:36:02.496168: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2af0000 of size 327680 next 142
2025-07-21 18:36:02.496175: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2b40000 of size 786432 next 18446744073709551615
2025-07-21 18:36:02.496181: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-07-21 18:36:02.496188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e2c00000 of size 589824 next 160
2025-07-21 18:36:02.496195: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2c90000 of size 589824 next 158
2025-07-21 18:36:02.496202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2d20000 of size 524288 next 171
2025-07-21 18:36:02.496209: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e2da0000 of size 1048576 next 222
2025-07-21 18:36:02.496216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2ea0000 of size 1048576 next 190
2025-07-21 18:36:02.496223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2fa0000 of size 1048576 next 189
2025-07-21 18:36:02.496230: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e30a0000 of size 1048576 next 203
2025-07-21 18:36:02.496237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e31a0000 of size 1048576 next 251
2025-07-21 18:36:02.496244: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e32a0000 of size 1441792 next 18446744073709551615
2025-07-21 18:36:02.496256: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-07-21 18:36:02.496263: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00000 of size 1280 next 1
2025-07-21 18:36:02.496270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00500 of size 256 next 5
2025-07-21 18:36:02.496277: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00600 of size 256 next 8
2025-07-21 18:36:02.496284: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00700 of size 256 next 9
2025-07-21 18:36:02.496291: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00800 of size 256 next 10
2025-07-21 18:36:02.496298: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00900 of size 256 next 11
2025-07-21 18:36:02.496305: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00a00 of size 256 next 12
2025-07-21 18:36:02.496311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00b00 of size 256 next 13
2025-07-21 18:36:02.496318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00c00 of size 256 next 17
2025-07-21 18:36:02.496325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00d00 of size 256 next 19
2025-07-21 18:36:02.496332: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00e00 of size 256 next 20
2025-07-21 18:36:02.496339: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce00f00 of size 256 next 21
2025-07-21 18:36:02.496345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01000 of size 256 next 22
2025-07-21 18:36:02.496352: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01100 of size 256 next 24
2025-07-21 18:36:02.496359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01200 of size 256 next 25
2025-07-21 18:36:02.496366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01300 of size 256 next 23
2025-07-21 18:36:02.496372: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01400 of size 256 next 28
2025-07-21 18:36:02.496379: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01500 of size 256 next 29
2025-07-21 18:36:02.496386: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01600 of size 256 next 30
2025-07-21 18:36:02.496393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01700 of size 256 next 31
2025-07-21 18:36:02.496399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01800 of size 256 next 33
2025-07-21 18:36:02.496406: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01900 of size 256 next 34
2025-07-21 18:36:02.496413: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce01a00 of size 1024 next 32
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2025-07-21 18:36:02.497278: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce2c100 of size 65536 next 36
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2025-07-21 18:36:02.497375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce52500 of size 1024 next 250
2025-07-21 18:36:02.497382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce52900 of size 4096 next 252
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2025-07-21 18:36:02.497412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce57900 of size 1024 next 257
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2025-07-21 18:36:02.497431: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce58500 of size 1024 next 260
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2025-07-21 18:36:02.497443: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce58d00 of size 1024 next 264
2025-07-21 18:36:02.497449: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59100 of size 1024 next 265
2025-07-21 18:36:02.497456: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59500 of size 1024 next 266
2025-07-21 18:36:02.497462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59900 of size 1024 next 267
2025-07-21 18:36:02.497468: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59d00 of size 1024 next 268
2025-07-21 18:36:02.497474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5a100 of size 4096 next 270
2025-07-21 18:36:02.497480: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5b100 of size 4096 next 271
2025-07-21 18:36:02.497486: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5c100 of size 4096 next 272
2025-07-21 18:36:02.497493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5d100 of size 4096 next 273
2025-07-21 18:36:02.497499: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5e100 of size 4096 next 274
2025-07-21 18:36:02.497505: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f100 of size 1024 next 275
2025-07-21 18:36:02.497516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f500 of size 1024 next 276
2025-07-21 18:36:02.497522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f900 of size 1024 next 277
2025-07-21 18:36:02.497528: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5fd00 of size 1024 next 278
2025-07-21 18:36:02.497534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce60100 of size 1024 next 279
2025-07-21 18:36:02.497541: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f531ce60500 of size 15360 next 27
2025-07-21 18:36:02.497547: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce64100 of size 147456 next 26
2025-07-21 18:36:02.497553: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce88100 of size 65536 next 47
2025-07-21 18:36:02.497559: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce98100 of size 65536 next 59
2025-07-21 18:36:02.497565: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531cea8100 of size 65536 next 65
2025-07-21 18:36:02.497572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ceb8100 of size 294656 next 18446744073709551615
2025-07-21 18:36:02.497578: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-21 18:36:02.497586: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-21 18:36:02.497594: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-21 18:36:02.497601: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-07-21 18:36:02.497608: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-21 18:36:02.497615: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-21 18:36:02.497622: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-07-21 18:36:02.497629: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-21 18:36:02.497636: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-21 18:36:02.497643: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-21 18:36:02.497650: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-21 18:36:02.497657: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-21 18:36:02.497664: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-21 18:36:02.497671: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-21 18:36:02.497678: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-21 18:36:02.497685: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-21 18:36:02.497692: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-21 18:36:02.497698: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-21 18:36:02.497705: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-21 18:36:02.497712: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-07-21 18:36:02.497719: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-07-21 18:36:02.497726: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-21 18:36:02.497733: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-21 18:36:02.497745: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-07-21 18:36:02.497752: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-21 18:36:02.497759: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-07-21 18:36:02.497766: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-07-21 18:36:02.497772: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 211943424 available bytes: 167737088 curr_region_allocation_bytes_: 67108864
2025-07-21 18:36:02.497782: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   211943424
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-07-21 18:36:02.497795: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-07-21 18:36:02.497837: 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 : 0.141951322555542
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
Mon Jul 21 18:36:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 353
wait 20 seconds
l 3637 free memory gpu now : 353  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-07-21 18:36:26.543745: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-07-21 18:36:26.575381: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz
2025-07-21 18:36:26.577469: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f53c0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-07-21 18:36:26.577522: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-07-21 18:36:26.582897: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-07-21 18:36:26.814002: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x8f48430 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-07-21 18:36:26.814069: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-07-21 18:36:26.815008: 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
2025-07-21 18:36:26.815508: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:36:26.819210: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:36:26.821993: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:36:26.822695: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:36:26.825775: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:36:26.827695: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:36:26.834360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:36:26.835677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:36:26.835798: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:36:26.836449: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-21 18:36:26.836472: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-21 18:36:26.836485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-21 18:36:26.837603: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
To do loadFromThcl(), then load ParamDescType : thcl454
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-07-21 18:36:27.541366: 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
2025-07-21 18:36:27.541475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:36:27.541507: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:36:27.541539: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:36:27.541564: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:36:27.541598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:36:27.541626: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:36:27.541649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:36:27.542722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:36:27.544091: 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
2025-07-21 18:36:27.544163: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-07-21 18:36:27.544188: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-07-21 18:36:27.544270: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-07-21 18:36:27.544292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-07-21 18:36:27.544313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-07-21 18:36:27.544334: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-07-21 18:36:27.544354: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-07-21 18:36:27.545365: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-07-21 18:36:27.545417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-07-21 18:36:27.545430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-07-21 18:36:27.545440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-07-21 18:36:27.546532: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 202 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-07-21 18:36:28.539520: 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
2025-07-21 18:36:28.540058: 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
2025-07-21 18:36:28.540534: 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
2025-07-21 18:36:28.541019: 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
2025-07-21 18:36:28.541518: 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
2025-07-21 18:36:28.542020: 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
2025-07-21 18:36:28.542526: 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
2025-07-21 18:36:28.543018: 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
2025-07-21 18:36:28.543529: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-21 18:36:28.544027: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-07-21 18:36:28.608090: 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
2025-07-21 18:36:28.608605: 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
2025-07-21 18:36:38.609657: 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
2025-07-21 18:36:38.610509: 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
2025-07-21 18:36:38.610541: 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.
2025-07-21 18:36:38.610563: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-07-21 18:36:38.610580: 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.
2025-07-21 18:36:38.610596: 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.
2025-07-21 18:36:38.610611: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-07-21 18:36:38.610626: 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.
2025-07-21 18:36:38.610642: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-07-21 18:36:38.610657: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-07-21 18:36:38.610672: 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.
2025-07-21 18:36:38.610687: 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.
2025-07-21 18:36:38.610718: 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.
2025-07-21 18:36:38.610734: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-07-21 18:36:38.610749: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-07-21 18:36:38.610763: 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.
2025-07-21 18:36:38.610778: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-07-21 18:36:38.610793: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-07-21 18:36:38.610808: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-07-21 18:36:38.610821: 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.
2025-07-21 18:36:38.610834: 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.
2025-07-21 18:36:38.610847: 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.
2025-07-21 18:36:38.610860: 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.
2025-07-21 18:36:38.610873: 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.
2025-07-21 18:36:38.610886: 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.
2025-07-21 18:36:38.610899: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-07-21 18:36:38.610911: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-07-21 18:36:38.610927: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0000000 of size 2359296 next 181
2025-07-21 18:36:38.610939: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0240000 of size 2097152 next 196
2025-07-21 18:36:38.610950: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0440000 of size 1048576 next 216
2025-07-21 18:36:38.610962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f51e0540000 of size 1310720 next 209
2025-07-21 18:36:38.610974: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0680000 of size 2359296 next 208
2025-07-21 18:36:38.610985: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e08c0000 of size 1048576 next 234
2025-07-21 18:36:38.610997: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e09c0000 of size 1310720 next 228
2025-07-21 18:36:38.611008: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0b00000 of size 2359296 next 227
2025-07-21 18:36:38.611029: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e0d40000 of size 2883584 next 18446744073709551615
2025-07-21 18:36:38.611041: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-07-21 18:36:38.611052: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1000000 of size 2359296 next 245
2025-07-21 18:36:38.611064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1240000 of size 1048576 next 269
2025-07-21 18:36:38.611075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1340000 of size 1310720 next 263
2025-07-21 18:36:38.611087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e1480000 of size 2359296 next 262
2025-07-21 18:36:38.611099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e16c0000 of size 4622592 next 18446744073709551615
2025-07-21 18:36:38.611110: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-07-21 18:36:38.611122: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2600000 of size 147456 next 55
2025-07-21 18:36:38.611134: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2624000 of size 65536 next 78
2025-07-21 18:36:38.611146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2634000 of size 4096 next 191
2025-07-21 18:36:38.611171: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2635000 of size 4096 next 192
2025-07-21 18:36:38.611185: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2636000 of size 4096 next 193
2025-07-21 18:36:38.611197: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637000 of size 256 next 194
2025-07-21 18:36:38.611209: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637100 of size 256 next 195
2025-07-21 18:36:38.611220: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2637200 of size 4096 next 197
2025-07-21 18:36:38.611232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f51e2638200 of size 4096 next 198
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2025-07-21 18:36:38.613007: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce12600 of size 2048 next 6
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2025-07-21 18:36:38.613030: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1c100 of size 512 next 118
2025-07-21 18:36:38.613041: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1c300 of size 512 next 119
2025-07-21 18:36:38.613052: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1c500 of size 512 next 120
2025-07-21 18:36:38.613064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1c700 of size 512 next 121
2025-07-21 18:36:38.613075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1c900 of size 512 next 122
2025-07-21 18:36:38.613087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1cb00 of size 512 next 125
2025-07-21 18:36:38.613098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1cd00 of size 512 next 126
2025-07-21 18:36:38.613109: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1cf00 of size 512 next 127
2025-07-21 18:36:38.613121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1d100 of size 512 next 128
2025-07-21 18:36:38.613132: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1d300 of size 512 next 129
2025-07-21 18:36:38.613143: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1d500 of size 2048 next 130
2025-07-21 18:36:38.613155: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1dd00 of size 2048 next 131
2025-07-21 18:36:38.613166: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1e500 of size 2048 next 132
2025-07-21 18:36:38.613177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1ed00 of size 2048 next 133
2025-07-21 18:36:38.613189: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1f500 of size 2048 next 134
2025-07-21 18:36:38.613200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1fd00 of size 512 next 136
2025-07-21 18:36:38.613211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce1ff00 of size 512 next 137
2025-07-21 18:36:38.613223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20100 of size 512 next 138
2025-07-21 18:36:38.613234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20300 of size 512 next 139
2025-07-21 18:36:38.613245: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20500 of size 512 next 140
2025-07-21 18:36:38.613257: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20700 of size 512 next 141
2025-07-21 18:36:38.613268: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20900 of size 512 next 143
2025-07-21 18:36:38.613279: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20b00 of size 512 next 144
2025-07-21 18:36:38.613291: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20d00 of size 512 next 145
2025-07-21 18:36:38.613302: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce20f00 of size 512 next 146
2025-07-21 18:36:38.613321: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce21100 of size 2048 next 147
2025-07-21 18:36:38.613333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce21900 of size 2048 next 148
2025-07-21 18:36:38.613344: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce22100 of size 2048 next 149
2025-07-21 18:36:38.613356: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce22900 of size 2048 next 150
2025-07-21 18:36:38.613367: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce23100 of size 2048 next 151
2025-07-21 18:36:38.613378: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce23900 of size 512 next 153
2025-07-21 18:36:38.613390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce23b00 of size 512 next 154
2025-07-21 18:36:38.613401: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce23d00 of size 512 next 155
2025-07-21 18:36:38.613412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce23f00 of size 512 next 156
2025-07-21 18:36:38.613424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24100 of size 512 next 157
2025-07-21 18:36:38.613435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24300 of size 512 next 161
2025-07-21 18:36:38.613446: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24500 of size 512 next 162
2025-07-21 18:36:38.613458: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24700 of size 512 next 163
2025-07-21 18:36:38.613469: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24900 of size 512 next 164
2025-07-21 18:36:38.613480: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24b00 of size 512 next 165
2025-07-21 18:36:38.613492: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce24d00 of size 2048 next 166
2025-07-21 18:36:38.613503: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce25500 of size 2048 next 167
2025-07-21 18:36:38.613514: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce25d00 of size 2048 next 168
2025-07-21 18:36:38.613526: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce26500 of size 2048 next 169
2025-07-21 18:36:38.613537: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce26d00 of size 2048 next 170
2025-07-21 18:36:38.613548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce27500 of size 1024 next 172
2025-07-21 18:36:38.613560: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce27900 of size 1024 next 173
2025-07-21 18:36:38.613571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce27d00 of size 1024 next 174
2025-07-21 18:36:38.613582: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28100 of size 1024 next 175
2025-07-21 18:36:38.613594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28500 of size 1024 next 176
2025-07-21 18:36:38.613605: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28900 of size 256 next 178
2025-07-21 18:36:38.613617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28a00 of size 256 next 179
2025-07-21 18:36:38.613628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28b00 of size 1024 next 177
2025-07-21 18:36:38.613639: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce28f00 of size 1024 next 182
2025-07-21 18:36:38.613651: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce29300 of size 1024 next 183
2025-07-21 18:36:38.613662: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce29700 of size 1024 next 184
2025-07-21 18:36:38.613673: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce29b00 of size 1024 next 185
2025-07-21 18:36:38.613692: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce29f00 of size 256 next 187
2025-07-21 18:36:38.613704: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce2a000 of size 256 next 188
2025-07-21 18:36:38.613715: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce2a100 of size 4096 next 186
2025-07-21 18:36:38.613727: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce2b100 of size 4096 next 42
2025-07-21 18:36:38.613738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce2c100 of size 65536 next 36
2025-07-21 18:36:38.613750: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce3c100 of size 65536 next 35
2025-07-21 18:36:38.613761: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce4c100 of size 4096 next 235
2025-07-21 18:36:38.613772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce4d100 of size 4096 next 236
2025-07-21 18:36:38.613784: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce4e100 of size 4096 next 237
2025-07-21 18:36:38.613795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce4f100 of size 4096 next 238
2025-07-21 18:36:38.613807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce50100 of size 1024 next 239
2025-07-21 18:36:38.613818: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce50500 of size 1024 next 240
2025-07-21 18:36:38.613829: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce50900 of size 1024 next 241
2025-07-21 18:36:38.613841: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce50d00 of size 1024 next 242
2025-07-21 18:36:38.613852: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce51100 of size 1024 next 243
2025-07-21 18:36:38.613863: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce51500 of size 1024 next 246
2025-07-21 18:36:38.613875: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce51900 of size 1024 next 247
2025-07-21 18:36:38.613886: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce51d00 of size 1024 next 248
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2025-07-21 18:36:38.613909: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce52500 of size 1024 next 250
2025-07-21 18:36:38.613920: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce52900 of size 4096 next 252
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2025-07-21 18:36:38.613966: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce56900 of size 4096 next 256
2025-07-21 18:36:38.613977: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce57900 of size 1024 next 257
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2025-07-21 18:36:38.614000: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce58100 of size 1024 next 259
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2025-07-21 18:36:38.614045: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59100 of size 1024 next 265
2025-07-21 18:36:38.614056: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59500 of size 1024 next 266
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2025-07-21 18:36:38.614087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce59d00 of size 1024 next 268
2025-07-21 18:36:38.614098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5a100 of size 4096 next 270
2025-07-21 18:36:38.614109: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5b100 of size 4096 next 271
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2025-07-21 18:36:38.614132: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5d100 of size 4096 next 273
2025-07-21 18:36:38.614144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5e100 of size 4096 next 274
2025-07-21 18:36:38.614155: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f100 of size 1024 next 275
2025-07-21 18:36:38.614166: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f500 of size 1024 next 276
2025-07-21 18:36:38.614178: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5f900 of size 1024 next 277
2025-07-21 18:36:38.614189: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce5fd00 of size 1024 next 278
2025-07-21 18:36:38.614200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce60100 of size 1024 next 279
2025-07-21 18:36:38.614212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f531ce60500 of size 15360 next 27
2025-07-21 18:36:38.614223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce64100 of size 147456 next 26
2025-07-21 18:36:38.614235: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce88100 of size 65536 next 47
2025-07-21 18:36:38.614246: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ce98100 of size 65536 next 59
2025-07-21 18:36:38.614258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531cea8100 of size 65536 next 65
2025-07-21 18:36:38.614270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f531ceb8100 of size 294656 next 18446744073709551615
2025-07-21 18:36:38.614281: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-07-21 18:36:38.614295: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-07-21 18:36:38.614309: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-07-21 18:36:38.614322: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-07-21 18:36:38.614335: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-07-21 18:36:38.614347: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-07-21 18:36:38.614360: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-07-21 18:36:38.614373: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-07-21 18:36:38.614386: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-07-21 18:36:38.614398: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-07-21 18:36:38.614411: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-07-21 18:36:38.614424: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-07-21 18:36:38.614437: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-07-21 18:36:38.614450: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-07-21 18:36:38.614471: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-07-21 18:36:38.614484: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-07-21 18:36:38.614497: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-07-21 18:36:38.614509: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-07-21 18:36:38.614522: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-07-21 18:36:38.614535: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-07-21 18:36:38.614547: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-07-21 18:36:38.614560: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-07-21 18:36:38.614572: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-07-21 18:36:38.614585: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-07-21 18:36:38.614598: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-07-21 18:36:38.614610: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-07-21 18:36:38.614623: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-07-21 18:36:38.614635: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 211943424 available bytes: 167737088 curr_region_allocation_bytes_: 67108864
2025-07-21 18:36:38.614651: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   211943424
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-07-21 18:36:38.614671: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-07-21 18:36:38.618413: 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_d59b34c8cb9c70d29d370863577751ef5cfaf28e
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_d59b34c8cb9c70d29d370863577751ef5cfaf28e','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/July/21072025/python_test3//data_4/data_log/job/2025/July/21072025/python_test3/log-python3----short_python3--v--marlene-18:35:00.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 : 0.257174015045166
#### 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
Mon Jul 21 18:36:39 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/1753115798_2933955_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1753115798_2933955_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 : 0.014590024948120117
 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 : 6.000686407089233
time spend to save output : 0.016080379486083984
total time spend for step 0 : 6.016766786575317
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 : 0.11081433296203613
#### 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
Mon Jul 21 18:36:45 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1753115805_2933955_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1753115805_2933955_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
E0721 18:36:46.766742 2933955 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0721 18:36:46.796368 2933955 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0721 18:36:46.811791 2933955 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.51user 7.14system 1:22.66elapsed 16%CPU (0avgtext+0avgdata 1196356maxresident)k
1853192inputs+3432outputs (5834major+592996minor)pagefaults 0swaps