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 : 350

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 : 0.12596821784973145
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Thu May  8 18:35:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 350
wait 20 seconds
l 3637 free memory gpu now : 350  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
2025-05-08 18:35:51.641433: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-08 18:35:51.671156: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-08 18:35:51.673183: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f64f8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-08 18:35:51.673232: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-08 18:35:51.677578: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-08 18:35:51.957896: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x29e03430 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-08 18:35:51.957967: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-08 18:35:51.959312: 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
2025-05-08 18:35:51.960003: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:35:51.992534: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:35:51.999217: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:35:51.999671: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:35:52.009823: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:35:52.013800: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:35:52.033628: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:35:52.034688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:35:52.034788: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:35:52.035625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-08 18:35:52.035648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-08 18:35:52.035659: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-08 18:35:52.036562: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 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
2025-05-08 18:35:52.619354: 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
2025-05-08 18:35:52.619444: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:35:52.619468: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:35:52.619498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:35:52.619524: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:35:52.619546: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:35:52.619579: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:35:52.619601: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:35:52.620477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:35:52.621496: 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
2025-05-08 18:35:52.621544: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:35:52.621563: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:35:52.621580: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:35:52.621597: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:35:52.621615: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:35:52.621632: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:35:52.621650: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:35:52.622470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:35:52.622512: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-08 18:35:52.622523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-08 18:35:52.622533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-08 18:35:52.623467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-08 18:35:53.823511: 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
2025-05-08 18:35:53.824041: 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
2025-05-08 18:35:53.824522: 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
2025-05-08 18:35:53.824972: 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
2025-05-08 18:35:53.825423: 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
2025-05-08 18:35:53.825877: 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
2025-05-08 18:35:53.826333: 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
2025-05-08 18:35:53.826779: 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
2025-05-08 18:35:53.827275: 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
2025-05-08 18:35:53.827791: 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
2025-05-08 18:35:53.891748: 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
2025-05-08 18:35:53.892213: 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
2025-05-08 18:36:03.893211: 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
2025-05-08 18:36:03.894044: 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
2025-05-08 18:36:03.894077: 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.
2025-05-08 18:36:03.894099: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-08 18:36:03.894116: 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.
2025-05-08 18:36:03.894132: 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.
2025-05-08 18:36:03.894147: 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.
2025-05-08 18:36:03.894162: 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.
2025-05-08 18:36:03.894177: 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.
2025-05-08 18:36:03.894191: 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.
2025-05-08 18:36:03.894206: 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.
2025-05-08 18:36:03.894221: 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.
2025-05-08 18:36:03.894236: 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.
2025-05-08 18:36:03.894251: 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.
2025-05-08 18:36:03.894266: 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.
2025-05-08 18:36:03.894280: 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.
2025-05-08 18:36:03.894295: 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.
2025-05-08 18:36:03.894326: 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.
2025-05-08 18:36:03.894341: 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.
2025-05-08 18:36:03.894354: 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.
2025-05-08 18:36:03.894367: 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.
2025-05-08 18:36:03.894380: 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.
2025-05-08 18:36:03.894393: 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.
2025-05-08 18:36:03.894406: 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.
2025-05-08 18:36:03.894419: 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.
2025-05-08 18:36:03.894432: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-08 18:36:03.894444: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-08 18:36:03.894460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c000000 of size 2359296 next 181
2025-05-08 18:36:03.894472: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c240000 of size 2097152 next 196
2025-05-08 18:36:03.894484: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c440000 of size 1048576 next 216
2025-05-08 18:36:03.894496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631c540000 of size 1310720 next 209
2025-05-08 18:36:03.894507: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c680000 of size 2359296 next 208
2025-05-08 18:36:03.894519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c8c0000 of size 1048576 next 234
2025-05-08 18:36:03.894531: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631c9c0000 of size 1310720 next 228
2025-05-08 18:36:03.894542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631cb00000 of size 2359296 next 227
2025-05-08 18:36:03.894554: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631cd40000 of size 2883584 next 18446744073709551615
2025-05-08 18:36:03.894566: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-05-08 18:36:03.894577: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631d000000 of size 2359296 next 245
2025-05-08 18:36:03.894588: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631d240000 of size 1048576 next 269
2025-05-08 18:36:03.894600: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631d340000 of size 1310720 next 263
2025-05-08 18:36:03.894611: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631d480000 of size 2359296 next 262
2025-05-08 18:36:03.894623: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631d6c0000 of size 4622592 next 18446744073709551615
2025-05-08 18:36:03.894635: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-08 18:36:03.894655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e600000 of size 147456 next 55
2025-05-08 18:36:03.894668: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e624000 of size 65536 next 78
2025-05-08 18:36:03.894680: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e634000 of size 4096 next 191
2025-05-08 18:36:03.894692: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e635000 of size 4096 next 192
2025-05-08 18:36:03.894703: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e636000 of size 4096 next 193
2025-05-08 18:36:03.894715: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e637000 of size 256 next 194
2025-05-08 18:36:03.894727: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e637100 of size 256 next 195
2025-05-08 18:36:03.894738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e637200 of size 4096 next 197
2025-05-08 18:36:03.894749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e638200 of size 4096 next 198
2025-05-08 18:36:03.894761: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e639200 of size 4096 next 199
2025-05-08 18:36:03.894772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63a200 of size 4096 next 200
2025-05-08 18:36:03.894784: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63b200 of size 4096 next 201
2025-05-08 18:36:03.894796: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63c200 of size 1024 next 202
2025-05-08 18:36:03.894807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63c600 of size 1024 next 204
2025-05-08 18:36:03.894819: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63ca00 of size 1024 next 205
2025-05-08 18:36:03.894830: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63ce00 of size 1024 next 206
2025-05-08 18:36:03.894841: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63d200 of size 1024 next 207
2025-05-08 18:36:03.894853: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63d600 of size 1024 next 210
2025-05-08 18:36:03.894864: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63da00 of size 1024 next 211
2025-05-08 18:36:03.894876: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63de00 of size 1024 next 212
2025-05-08 18:36:03.894887: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63e200 of size 1024 next 213
2025-05-08 18:36:03.894911: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63e600 of size 1024 next 214
2025-05-08 18:36:03.894925: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63ea00 of size 4096 next 215
2025-05-08 18:36:03.894937: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e63fa00 of size 4096 next 217
2025-05-08 18:36:03.894949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e640a00 of size 4096 next 218
2025-05-08 18:36:03.894960: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e641a00 of size 4096 next 219
2025-05-08 18:36:03.894971: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e642a00 of size 4096 next 220
2025-05-08 18:36:03.894983: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e643a00 of size 1024 next 221
2025-05-08 18:36:03.894994: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e643e00 of size 1024 next 223
2025-05-08 18:36:03.895006: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e644200 of size 1024 next 224
2025-05-08 18:36:03.895017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e644600 of size 1024 next 225
2025-05-08 18:36:03.895028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e644a00 of size 1024 next 226
2025-05-08 18:36:03.895048: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e644e00 of size 1024 next 229
2025-05-08 18:36:03.895060: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e645200 of size 1024 next 230
2025-05-08 18:36:03.895072: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e645600 of size 1024 next 231
2025-05-08 18:36:03.895083: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e645a00 of size 1024 next 232
2025-05-08 18:36:03.895094: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e645e00 of size 1024 next 233
2025-05-08 18:36:03.895106: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e646200 of size 7680 next 72
2025-05-08 18:36:03.895118: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e648000 of size 147456 next 71
2025-05-08 18:36:03.895130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e66c000 of size 131072 next 87
2025-05-08 18:36:03.895141: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631e68c000 of size 262144 next 103
2025-05-08 18:36:03.895153: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e6cc000 of size 262144 next 102
2025-05-08 18:36:03.895165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631e70c000 of size 999424 next 18446744073709551615
2025-05-08 18:36:03.895176: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-05-08 18:36:03.895188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e800000 of size 589824 next 96
2025-05-08 18:36:03.895200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e890000 of size 262144 next 117
2025-05-08 18:36:03.895211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631e8d0000 of size 262144 next 112
2025-05-08 18:36:03.895223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e910000 of size 524288 next 111
2025-05-08 18:36:03.895234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e990000 of size 262144 next 135
2025-05-08 18:36:03.895246: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e9d0000 of size 327680 next 124
2025-05-08 18:36:03.895258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631ea20000 of size 589824 next 123
2025-05-08 18:36:03.895269: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631eab0000 of size 262144 next 152
2025-05-08 18:36:03.895281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631eaf0000 of size 327680 next 142
2025-05-08 18:36:03.895292: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631eb40000 of size 786432 next 18446744073709551615
2025-05-08 18:36:03.895304: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-05-08 18:36:03.895316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631ec00000 of size 589824 next 160
2025-05-08 18:36:03.895327: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631ec90000 of size 589824 next 158
2025-05-08 18:36:03.895339: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631ed20000 of size 524288 next 171
2025-05-08 18:36:03.895350: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631eda0000 of size 1048576 next 222
2025-05-08 18:36:03.895361: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631eea0000 of size 1048576 next 190
2025-05-08 18:36:03.895373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631efa0000 of size 1048576 next 189
2025-05-08 18:36:03.895384: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f0a0000 of size 1048576 next 203
2025-05-08 18:36:03.895396: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f1a0000 of size 1048576 next 251
2025-05-08 18:36:03.895408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f2a0000 of size 1441792 next 18446744073709551615
2025-05-08 18:36:03.895427: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-05-08 18:36:03.895439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00000 of size 1280 next 1
2025-05-08 18:36:03.895451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00500 of size 256 next 5
2025-05-08 18:36:03.895462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00600 of size 256 next 8
2025-05-08 18:36:03.895474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00700 of size 256 next 9
2025-05-08 18:36:03.895485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00800 of size 256 next 10
2025-05-08 18:36:03.895497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00900 of size 256 next 11
2025-05-08 18:36:03.895508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00a00 of size 256 next 12
2025-05-08 18:36:03.895520: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00b00 of size 256 next 13
2025-05-08 18:36:03.895531: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00c00 of size 256 next 17
2025-05-08 18:36:03.895542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00d00 of size 256 next 19
2025-05-08 18:36:03.895554: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00e00 of size 256 next 20
2025-05-08 18:36:03.895565: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e00f00 of size 256 next 21
2025-05-08 18:36:03.895577: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01000 of size 256 next 22
2025-05-08 18:36:03.895588: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01100 of size 256 next 24
2025-05-08 18:36:03.895599: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01200 of size 256 next 25
2025-05-08 18:36:03.895611: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01300 of size 256 next 23
2025-05-08 18:36:03.895622: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01400 of size 256 next 28
2025-05-08 18:36:03.895634: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01500 of size 256 next 29
2025-05-08 18:36:03.895645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e01600 of size 256 next 30
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2025-05-08 18:36:03.897232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e29f00 of size 256 next 187
2025-05-08 18:36:03.897243: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2a000 of size 256 next 188
2025-05-08 18:36:03.897255: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2a100 of size 4096 next 186
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2025-05-08 18:36:03.897278: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2c100 of size 65536 next 36
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2025-05-08 18:36:03.897301: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e4c100 of size 4096 next 235
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2025-05-08 18:36:03.897412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e51500 of size 1024 next 246
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2025-05-08 18:36:03.897458: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e52500 of size 1024 next 250
2025-05-08 18:36:03.897469: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e52900 of size 4096 next 252
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2025-05-08 18:36:03.897526: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e57900 of size 1024 next 257
2025-05-08 18:36:03.897538: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e57d00 of size 1024 next 258
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2025-05-08 18:36:03.897572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e58900 of size 1024 next 261
2025-05-08 18:36:03.897584: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e58d00 of size 1024 next 264
2025-05-08 18:36:03.897595: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59100 of size 1024 next 265
2025-05-08 18:36:03.897606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59500 of size 1024 next 266
2025-05-08 18:36:03.897618: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59900 of size 1024 next 267
2025-05-08 18:36:03.897629: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59d00 of size 1024 next 268
2025-05-08 18:36:03.897640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5a100 of size 4096 next 270
2025-05-08 18:36:03.897652: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5b100 of size 4096 next 271
2025-05-08 18:36:03.897663: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5c100 of size 4096 next 272
2025-05-08 18:36:03.897675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5d100 of size 4096 next 273
2025-05-08 18:36:03.897686: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5e100 of size 4096 next 274
2025-05-08 18:36:03.897697: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f100 of size 1024 next 275
2025-05-08 18:36:03.897716: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f500 of size 1024 next 276
2025-05-08 18:36:03.897728: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f900 of size 1024 next 277
2025-05-08 18:36:03.897740: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5fd00 of size 1024 next 278
2025-05-08 18:36:03.897751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e60100 of size 1024 next 279
2025-05-08 18:36:03.897763: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f6456e60500 of size 15360 next 27
2025-05-08 18:36:03.897774: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e64100 of size 147456 next 26
2025-05-08 18:36:03.897786: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e88100 of size 65536 next 47
2025-05-08 18:36:03.897799: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e98100 of size 65536 next 59
2025-05-08 18:36:03.897814: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456ea8100 of size 65536 next 65
2025-05-08 18:36:03.897828: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456eb8100 of size 294656 next 18446744073709551615
2025-05-08 18:36:03.897840: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-08 18:36:03.897855: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-08 18:36:03.897869: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-08 18:36:03.897881: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-08 18:36:03.897894: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-08 18:36:03.897907: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-08 18:36:03.897919: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-08 18:36:03.897932: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-08 18:36:03.897945: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-08 18:36:03.897957: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-08 18:36:03.897970: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-08 18:36:03.897983: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-08 18:36:03.897995: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-08 18:36:03.898008: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-08 18:36:03.898021: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-08 18:36:03.898033: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-08 18:36:03.898046: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-08 18:36:03.898058: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-08 18:36:03.898071: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-08 18:36:03.898083: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-08 18:36:03.898096: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-08 18:36:03.898108: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-08 18:36:03.898121: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-08 18:36:03.898142: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-08 18:36:03.898155: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-08 18:36:03.898168: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-05-08 18:36:03.898180: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-05-08 18:36:03.898192: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 208535552 available bytes: 164329216 curr_region_allocation_bytes_: 67108864
2025-05-08 18:36:03.898208: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   208535552
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-05-08 18:36:03.898229: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-05-08 18:36:03.898274: 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 : 19

############################### 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 : 0.1297459602355957
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Thu May  8 18:36:05 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 : 75
wait 20 seconds
l 3637 free memory gpu now : 75  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-05-08 18:36:28.133895: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-08 18:36:28.163165: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-08 18:36:28.165582: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f64f8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-08 18:36:28.165615: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-08 18:36:28.169773: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-08 18:36:28.406430: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x29f3c3c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-08 18:36:28.406487: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-08 18:36:28.407414: 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
2025-05-08 18:36:28.407829: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:36:28.411123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:36:28.414197: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:36:28.414719: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:36:28.417647: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:36:28.418719: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:36:28.423472: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:36:28.424393: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:36:28.424475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:36:28.424943: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-08 18:36:28.424958: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-08 18:36:28.424968: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-08 18:36:28.425713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 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
2025-05-08 18:36:29.028227: 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
2025-05-08 18:36:29.028320: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:36:29.028343: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:36:29.028365: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:36:29.028386: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:36:29.028408: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:36:29.028429: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:36:29.028450: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:36:29.029293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:36:29.030466: 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
2025-05-08 18:36:29.030523: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-08 18:36:29.030547: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-08 18:36:29.030567: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-08 18:36:29.030588: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-08 18:36:29.030608: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-08 18:36:29.030627: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-08 18:36:29.030648: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-08 18:36:29.031483: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-08 18:36:29.031526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-08 18:36:29.031538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-08 18:36:29.031548: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-08 18:36:29.032274: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-08 18:36:29.837523: 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
2025-05-08 18:36:29.838044: 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
2025-05-08 18:36:29.838509: 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
2025-05-08 18:36:29.839005: 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
2025-05-08 18:36:29.839504: 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
2025-05-08 18:36:29.840000: 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
2025-05-08 18:36:29.840479: 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
2025-05-08 18:36:29.840934: 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
2025-05-08 18:36:29.841426: 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
2025-05-08 18:36:29.841918: 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
2025-05-08 18:36:29.907699: 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
2025-05-08 18:36:29.908209: 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
2025-05-08 18:36:39.909219: 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
2025-05-08 18:36:39.910044: 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
2025-05-08 18:36:39.910074: 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.
2025-05-08 18:36:39.910096: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-08 18:36:39.910114: 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.
2025-05-08 18:36:39.910129: 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.
2025-05-08 18:36:39.910144: 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.
2025-05-08 18:36:39.910159: 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.
2025-05-08 18:36:39.910174: 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.
2025-05-08 18:36:39.910189: 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.
2025-05-08 18:36:39.910204: 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.
2025-05-08 18:36:39.910218: 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.
2025-05-08 18:36:39.910248: 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.
2025-05-08 18:36:39.910264: 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.
2025-05-08 18:36:39.910278: 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.
2025-05-08 18:36:39.910293: 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.
2025-05-08 18:36:39.910308: 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.
2025-05-08 18:36:39.910322: 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.
2025-05-08 18:36:39.910337: 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.
2025-05-08 18:36:39.910350: 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.
2025-05-08 18:36:39.910363: 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.
2025-05-08 18:36:39.910376: 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.
2025-05-08 18:36:39.910388: 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.
2025-05-08 18:36:39.910401: 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.
2025-05-08 18:36:39.910414: 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.
2025-05-08 18:36:39.910428: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-08 18:36:39.910439: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-08 18:36:39.910455: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e000000 of size 2359296 next 181
2025-05-08 18:36:39.910467: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e240000 of size 2097152 next 196
2025-05-08 18:36:39.910479: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e440000 of size 1048576 next 216
2025-05-08 18:36:39.910491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f631e540000 of size 1310720 next 209
2025-05-08 18:36:39.910503: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e680000 of size 2359296 next 208
2025-05-08 18:36:39.910514: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e8c0000 of size 1048576 next 234
2025-05-08 18:36:39.910526: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631e9c0000 of size 1310720 next 228
2025-05-08 18:36:39.910538: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631eb00000 of size 2359296 next 227
2025-05-08 18:36:39.910558: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631ed40000 of size 2883584 next 18446744073709551615
2025-05-08 18:36:39.910570: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-05-08 18:36:39.910582: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f000000 of size 2359296 next 245
2025-05-08 18:36:39.910593: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f240000 of size 1048576 next 269
2025-05-08 18:36:39.910605: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f340000 of size 1310720 next 263
2025-05-08 18:36:39.910616: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f480000 of size 2359296 next 262
2025-05-08 18:36:39.910628: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f631f6c0000 of size 4622592 next 18446744073709551615
2025-05-08 18:36:39.910639: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-08 18:36:39.910651: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320600000 of size 147456 next 55
2025-05-08 18:36:39.910664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320624000 of size 65536 next 78
2025-05-08 18:36:39.910676: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320634000 of size 4096 next 191
2025-05-08 18:36:39.910687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320635000 of size 4096 next 192
2025-05-08 18:36:39.910699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320636000 of size 4096 next 193
2025-05-08 18:36:39.910711: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320637000 of size 256 next 194
2025-05-08 18:36:39.910723: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320637100 of size 256 next 195
2025-05-08 18:36:39.910734: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320637200 of size 4096 next 197
2025-05-08 18:36:39.910746: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6320638200 of size 4096 next 198
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2025-05-08 18:36:39.912552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e12600 of size 2048 next 6
2025-05-08 18:36:39.912563: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e12e00 of size 37632 next 7
2025-05-08 18:36:39.912575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1c100 of size 512 next 118
2025-05-08 18:36:39.912586: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1c300 of size 512 next 119
2025-05-08 18:36:39.912598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1c500 of size 512 next 120
2025-05-08 18:36:39.912609: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1c700 of size 512 next 121
2025-05-08 18:36:39.912621: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1c900 of size 512 next 122
2025-05-08 18:36:39.912632: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1cb00 of size 512 next 125
2025-05-08 18:36:39.912644: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1cd00 of size 512 next 126
2025-05-08 18:36:39.912655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1cf00 of size 512 next 127
2025-05-08 18:36:39.912667: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1d100 of size 512 next 128
2025-05-08 18:36:39.912678: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1d300 of size 512 next 129
2025-05-08 18:36:39.912690: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1d500 of size 2048 next 130
2025-05-08 18:36:39.912701: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1dd00 of size 2048 next 131
2025-05-08 18:36:39.912713: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1e500 of size 2048 next 132
2025-05-08 18:36:39.912724: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1ed00 of size 2048 next 133
2025-05-08 18:36:39.912736: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1f500 of size 2048 next 134
2025-05-08 18:36:39.912747: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1fd00 of size 512 next 136
2025-05-08 18:36:39.912759: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e1ff00 of size 512 next 137
2025-05-08 18:36:39.912770: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20100 of size 512 next 138
2025-05-08 18:36:39.912781: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20300 of size 512 next 139
2025-05-08 18:36:39.912793: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20500 of size 512 next 140
2025-05-08 18:36:39.912804: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20700 of size 512 next 141
2025-05-08 18:36:39.912816: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20900 of size 512 next 143
2025-05-08 18:36:39.912827: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20b00 of size 512 next 144
2025-05-08 18:36:39.912839: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20d00 of size 512 next 145
2025-05-08 18:36:39.912850: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e20f00 of size 512 next 146
2025-05-08 18:36:39.912869: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e21100 of size 2048 next 147
2025-05-08 18:36:39.912881: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e21900 of size 2048 next 148
2025-05-08 18:36:39.912893: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e22100 of size 2048 next 149
2025-05-08 18:36:39.912905: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e22900 of size 2048 next 150
2025-05-08 18:36:39.912916: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e23100 of size 2048 next 151
2025-05-08 18:36:39.912928: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e23900 of size 512 next 153
2025-05-08 18:36:39.912939: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e23b00 of size 512 next 154
2025-05-08 18:36:39.912951: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e23d00 of size 512 next 155
2025-05-08 18:36:39.912962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e23f00 of size 512 next 156
2025-05-08 18:36:39.912973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24100 of size 512 next 157
2025-05-08 18:36:39.912985: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24300 of size 512 next 161
2025-05-08 18:36:39.912996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24500 of size 512 next 162
2025-05-08 18:36:39.913008: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24700 of size 512 next 163
2025-05-08 18:36:39.913019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24900 of size 512 next 164
2025-05-08 18:36:39.913031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24b00 of size 512 next 165
2025-05-08 18:36:39.913042: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e24d00 of size 2048 next 166
2025-05-08 18:36:39.913054: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e25500 of size 2048 next 167
2025-05-08 18:36:39.913065: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e25d00 of size 2048 next 168
2025-05-08 18:36:39.913077: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e26500 of size 2048 next 169
2025-05-08 18:36:39.913088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e26d00 of size 2048 next 170
2025-05-08 18:36:39.913100: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e27500 of size 1024 next 172
2025-05-08 18:36:39.913111: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e27900 of size 1024 next 173
2025-05-08 18:36:39.913123: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e27d00 of size 1024 next 174
2025-05-08 18:36:39.913135: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28100 of size 1024 next 175
2025-05-08 18:36:39.913146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28500 of size 1024 next 176
2025-05-08 18:36:39.913158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28900 of size 256 next 178
2025-05-08 18:36:39.913169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28a00 of size 256 next 179
2025-05-08 18:36:39.913181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28b00 of size 1024 next 177
2025-05-08 18:36:39.913192: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e28f00 of size 1024 next 182
2025-05-08 18:36:39.913204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e29300 of size 1024 next 183
2025-05-08 18:36:39.913215: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e29700 of size 1024 next 184
2025-05-08 18:36:39.913227: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e29b00 of size 1024 next 185
2025-05-08 18:36:39.913246: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e29f00 of size 256 next 187
2025-05-08 18:36:39.913258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2a000 of size 256 next 188
2025-05-08 18:36:39.913269: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2a100 of size 4096 next 186
2025-05-08 18:36:39.913281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2b100 of size 4096 next 42
2025-05-08 18:36:39.913293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e2c100 of size 65536 next 36
2025-05-08 18:36:39.913304: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e3c100 of size 65536 next 35
2025-05-08 18:36:39.913316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e4c100 of size 4096 next 235
2025-05-08 18:36:39.913327: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e4d100 of size 4096 next 236
2025-05-08 18:36:39.913339: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e4e100 of size 4096 next 237
2025-05-08 18:36:39.913350: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e4f100 of size 4096 next 238
2025-05-08 18:36:39.913362: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e50100 of size 1024 next 239
2025-05-08 18:36:39.913373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e50500 of size 1024 next 240
2025-05-08 18:36:39.913385: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e50900 of size 1024 next 241
2025-05-08 18:36:39.913396: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e50d00 of size 1024 next 242
2025-05-08 18:36:39.913408: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e51100 of size 1024 next 243
2025-05-08 18:36:39.913419: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e51500 of size 1024 next 246
2025-05-08 18:36:39.913431: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e51900 of size 1024 next 247
2025-05-08 18:36:39.913442: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e51d00 of size 1024 next 248
2025-05-08 18:36:39.913454: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e52100 of size 1024 next 249
2025-05-08 18:36:39.913465: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e52500 of size 1024 next 250
2025-05-08 18:36:39.913477: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e52900 of size 4096 next 252
2025-05-08 18:36:39.913488: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e53900 of size 4096 next 253
2025-05-08 18:36:39.913500: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e54900 of size 4096 next 254
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2025-05-08 18:36:39.913523: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e56900 of size 4096 next 256
2025-05-08 18:36:39.913534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e57900 of size 1024 next 257
2025-05-08 18:36:39.913546: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e57d00 of size 1024 next 258
2025-05-08 18:36:39.913557: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e58100 of size 1024 next 259
2025-05-08 18:36:39.913569: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e58500 of size 1024 next 260
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2025-05-08 18:36:39.913603: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59100 of size 1024 next 265
2025-05-08 18:36:39.913615: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59500 of size 1024 next 266
2025-05-08 18:36:39.913633: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59900 of size 1024 next 267
2025-05-08 18:36:39.913645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e59d00 of size 1024 next 268
2025-05-08 18:36:39.913657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5a100 of size 4096 next 270
2025-05-08 18:36:39.913668: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5b100 of size 4096 next 271
2025-05-08 18:36:39.913680: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5c100 of size 4096 next 272
2025-05-08 18:36:39.913691: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5d100 of size 4096 next 273
2025-05-08 18:36:39.913703: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5e100 of size 4096 next 274
2025-05-08 18:36:39.913714: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f100 of size 1024 next 275
2025-05-08 18:36:39.913726: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f500 of size 1024 next 276
2025-05-08 18:36:39.913737: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5f900 of size 1024 next 277
2025-05-08 18:36:39.913749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e5fd00 of size 1024 next 278
2025-05-08 18:36:39.913760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e60100 of size 1024 next 279
2025-05-08 18:36:39.913772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f6456e60500 of size 15360 next 27
2025-05-08 18:36:39.913783: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e64100 of size 147456 next 26
2025-05-08 18:36:39.913795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e88100 of size 65536 next 47
2025-05-08 18:36:39.913807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456e98100 of size 65536 next 59
2025-05-08 18:36:39.913818: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456ea8100 of size 65536 next 65
2025-05-08 18:36:39.913830: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f6456eb8100 of size 294656 next 18446744073709551615
2025-05-08 18:36:39.913841: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-08 18:36:39.913856: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-08 18:36:39.913869: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-08 18:36:39.913882: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-08 18:36:39.913894: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-08 18:36:39.913907: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-08 18:36:39.913920: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-08 18:36:39.913932: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-08 18:36:39.913945: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-08 18:36:39.913957: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-08 18:36:39.913970: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-08 18:36:39.913983: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-08 18:36:39.913995: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-08 18:36:39.914008: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-08 18:36:39.914029: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-08 18:36:39.914042: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-08 18:36:39.914054: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-08 18:36:39.914067: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-08 18:36:39.914079: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-08 18:36:39.914092: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-08 18:36:39.914104: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-08 18:36:39.914117: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-08 18:36:39.914129: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-08 18:36:39.914142: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-08 18:36:39.914154: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-08 18:36:39.914167: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-05-08 18:36:39.914179: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-05-08 18:36:39.914191: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 208535552 available bytes: 164329216 curr_region_allocation_bytes_: 67108864
2025-05-08 18:36:39.914206: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   208535552
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-05-08 18:36:39.914227: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-05-08 18:36:39.914269: 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_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf
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_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/May/08052025/python_test3//data_2/data_log/job/2025/May/08052025/python_test3/log-python3----short_python3--v--marlene-18:35:02.txt','mask_detection','unknown');

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





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


/home/admin/workarea/git/Velours/python/tests/datou_test.py
<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 : 0.21829509735107422
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:sam
Thu May  8 18:36:40 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/1746722200_1688849_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1746722200_1688849_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 : 0.012638330459594727
 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 : 3.5127406120300293
time spend to save output : 0.013902902603149414
total time spend for step 0 : 3.5266435146331787
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 : 0.1386699676513672
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:frcnn
Thu May  8 18:36:44 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/1746722203_1688849_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1746722203_1688849_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
E0508 18:36:45.472582 1688849 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0508 18:36:45.493583 1688849 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0508 18:36:45.543612 1688849 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.80user 7.52system 1:19.65elapsed 17%CPU (0avgtext+0avgdata 1171216maxresident)k
1702640inputs+3408outputs (6659major+576680minor)pagefaults 0swaps